diff --git a/synth/README.md b/synth/README.md
index 82a8371d..400c529e 100644
--- a/synth/README.md
+++ b/synth/README.md
@@ -12,6 +12,7 @@ Differentially private synthesizers for tabular data.  Package includes:
 * PATE-CTGAN
 * PATE-GAN
 * AIM
+* GSD 
 
 ## Installation
 
diff --git a/synth/samples/gsd_sample/.gitignore b/synth/samples/gsd_sample/.gitignore
new file mode 100644
index 00000000..46457ab7
--- /dev/null
+++ b/synth/samples/gsd_sample/.gitignore
@@ -0,0 +1 @@
+downloaded_datasets
\ No newline at end of file
diff --git a/synth/samples/gsd_sample/All on sklearn.ipynb b/synth/samples/gsd_sample/All on sklearn.ipynb
new file mode 100644
index 00000000..6a879e01
--- /dev/null
+++ b/synth/samples/gsd_sample/All on sklearn.ipynb	
@@ -0,0 +1,676 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "from snsynth.gsd import GSDSynthesizer\n",
+    "from snsynth.aim import AIMSynthesizer\n",
+    "from sklearn.datasets import make_classification\n",
+    "import time\n",
+    "from snsynth import Synthesizer\n",
+    "from snsynth.transform import *\n",
+    "from sklearn.preprocessing import KBinsDiscretizer\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def save_sync_data(df: pd.DataFrame, mech: str, eps: float, seed: int):\n",
+    "    path = f'sync_data/{mech}/{eps:.2f}/{seed}'\n",
+    "    os.makedirs('sync_data', exist_ok=True)\n",
+    "    os.makedirs(f'sync_data/{mech}', exist_ok=True)\n",
+    "    os.makedirs(f'sync_data/{mech}/{eps:.2f}', exist_ok=True)\n",
+    "    os.makedirs(path, exist_ok=True)\n",
+    "    print(f'Saving {path}')\n",
+    "    df.to_csv(path)\n",
+    "\n",
+    "# SKlear (Categorical)\n",
+    "def plot_2d(arg_data_df):\n",
+    "    sns.scatterplot(data=arg_data_df, x='x1', y='x2', hue='y')\n",
+    "    # plt.show()\n",
+    "\n",
+    "def get_data(dim, seed):\n",
+    "    X, y = make_classification(n_samples=10000, n_features=2, n_informative=2, n_redundant=0, n_repeated=0,random_state=0)\n",
+    "\n",
+    "    # X_binned = enc.fit_transform(X)\n",
+    "    # print(X_binned.shape)\n",
+    "    data_df = pd.DataFrame(np.column_stack((X, y)), columns=['x1', 'x2', 'y'])\n",
+    "    data_df['x1'] = (data_df['x1'] - data_df['x1'].min()) / (data_df['x1'].max() - data_df['x1'].min())\n",
+    "    data_df['x2'] = (data_df['x2'] - data_df['x2'].min()) / (data_df['x2'].max() - data_df['x2'].min())\n",
+    "    return data_df\n",
+    "# data_df_binned = pd.DataFrame(np.column_stack((X_binned, y)), columns=['x1', 'x2', 'y'])\n",
+    "\n",
+    "\n",
+    "def bin_data(arg_df, bins):\n",
+    "    # enc = KBinsDiscretizer(n_bins=bins, encode='ordinal')\n",
+    "    x1 = np.digitize(arg_df['x1'].values, bins=np.linspace(0, 1, bins))\n",
+    "    x2 = np.digitize(arg_df['x2'].values, bins=np.linspace(0, 1, bins))\n",
+    "    data_df_binned = pd.DataFrame(np.column_stack((x1, x2, y)), columns=['x1', 'x2', 'y'])\n",
+    "    return data_df_binned\n",
+    "\n",
+    "def inverse_bin_data(arg_binned_df, bins=10):\n",
+    "    arg_binned_df['x1'] = arg_binned_df['x1'] / bins\n",
+    "    arg_binned_df['x2'] = arg_binned_df['x2'] / bins\n",
+    "    # X = arg_enc.inverse_transform(arg_binned_df[['x1', 'x2']])\n",
+    "    # return pd.DataFrame(np.column_stack((X, y)), columns=['x1', 'x2', 'y'])\n",
+    "    return arg_binned_df\n",
+    "\n",
+    "\n",
+    "cat_tt = TableTransformer([\n",
+    "    ChainTransformer([LabelTransformer(), OneHotEncoder()]), # y\n",
+    "    ChainTransformer([LabelTransformer(), OneHotEncoder()]), # y\n",
+    "    ChainTransformer([LabelTransformer(), OneHotEncoder()]), # y\n",
+    "])\n",
+    "\n",
+    "real_valued_tt = TableTransformer([\n",
+    "    ChainTransformer([ClampTransformer(lower=0, upper=1), MinMaxTransformer(lower=0, upper=1) ]),\n",
+    "    ChainTransformer([ClampTransformer(lower=0, upper=1), MinMaxTransformer(lower=0, upper=1) ]),\n",
+    "    ChainTransformer([LabelTransformer(), OneHotEncoder()]), # y\n",
+    "])\n",
+    "\n",
+    "plot_2d(data_df)\n",
+    "print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cond.Marginal= ['x1', 'x2'] . Sigma=0.0006. Top.Level=7. Max.Size=None\n",
+      "Cond.Marginal= ['x1', 'y'] . Sigma=0.0006. Top.Level=7. Max.Size=None\n",
+      "Cond.Marginal= ['x2', 'y'] . Sigma=0.0006. Top.Level=7. Max.Size=None\n",
+      "\tTotal size=22860\n",
+      "Statistics size = 22860\n",
+      "Statistics size = 22860\n",
+      "Gen=         0: fitness=0.745791416. fitness change=1.00000000  Strategy weights:  [0.25 0.25 0.25 0.25] time=1.50 (s)\n",
+      "Gen=      2000: fitness=0.106946895. fitness change=1.00000000  Strategy weights:  [0.25 0.25 0.25 0.25] time=4.82 (s)\n",
+      "Gen=      4000: fitness=0.0151667087. fitness change=0.85818468  Strategy weights:  [0.22  0.187 0.237 0.355] time=7.36 (s)\n",
+      "Gen=      6000: fitness=0.00862874408. fitness change=0.43107340  Strategy weights:  [0.191 0.335 0.277 0.197] time=9.99 (s)\n",
+      "Gen=      8000: fitness=0.0082035317. fitness change=0.04927859  Strategy weights:  [0.182 0.501 0.298 0.018] time=12.71(s)\n",
+      "Gen=     10000: fitness=0.00805961915. fitness change=0.01754276  Strategy weights:  [0.232 0.467 0.3   0.   ] time=15.42(s)\n",
+      "Gen=     12000: fitness=0.00797878315. fitness change=0.01002975  Strategy weights:  [0.183 0.415 0.402 0.   ] time=18.16(s)\n",
+      "Gen=     14000: fitness=0.00792905942. fitness change=0.00623199  Strategy weights:  [0.391 0.429 0.18  0.   ] time=20.84(s)\n",
+      "Gen=     16000: fitness=0.00788875703. fitness change=0.00508287  Strategy weights:  [0.424 0.366 0.21  0.   ] time=23.50(s)\n",
+      "Gen=     18000: fitness=0.00786510836. fitness change=0.00299777  Strategy weights:  [0.255 0.578 0.167 0.   ] time=26.41(s)\n",
+      "Gen=     20000: fitness=0.00784482124. fitness change=0.00257938  Strategy weights:  [0.37  0.495 0.135 0.   ] time=28.99(s)\n",
+      "Gen=     22000: fitness=0.00783318469. fitness change=0.00148334  Strategy weights:  [0.388 0.392 0.219 0.   ] time=31.65(s)\n",
+      "Gen=     24000: fitness=0.00782223811. fitness change=0.00139746  Strategy weights:  [0.47  0.399 0.131 0.   ] time=34.35(s)\n",
+      "Gen=     26000: fitness=0.0078102512. fitness change=0.00153242  Strategy weights:  [0.358 0.384 0.259 0.   ] time=37.00(s)\n",
+      "Gen=     28000: fitness=0.00779777691. fitness change=0.00159717  Strategy weights:  [0.3   0.428 0.272 0.   ] time=39.69(s)\n",
+      "Gen=     30000: fitness=0.00778689841. fitness change=0.00139508  Strategy weights:  [0.158 0.315 0.526 0.   ] time=42.45(s)\n",
+      "Gen=     32000: fitness=0.00777913919. fitness change=0.00099644  Strategy weights:  [0.004 0.339 0.657 0.   ] time=45.32(s)\n",
+      "Gen=     34000: fitness=0.0077684462. fitness change=0.00137457  Strategy weights:  [0.    0.192 0.808 0.   ] time=48.18(s)\n",
+      "Gen=     36000: fitness=0.00776164397. fitness change=0.00087562  Strategy weights:  [0.    0.352 0.648 0.   ] time=51.06(s)\n",
+      "Gen=     38000: fitness=0.0077567351. fitness change=0.00063245  Strategy weights:  [0.    0.491 0.509 0.   ] time=53.90(s)\n",
+      "Gen=     40000: fitness=0.00775078587. fitness change=0.00076698  Strategy weights:  [0.    0.335 0.665 0.   ] time=56.76(s)\n",
+      "Gen=     42000: fitness=0.00774628628. fitness change=0.00058053  Strategy weights:  [0.    0.094 0.906 0.   ] time=59.62(s)\n",
+      "Gen=     44000: fitness=0.00774515459. fitness change=0.00014609  Strategy weights:  [0.    0.178 0.822 0.   ] time=62.50(s)\n",
+      "Gen=     46000: fitness=0.00774272299. fitness change=0.00031395  Strategy weights:  [0.    0.262 0.738 0.   ] time=65.35(s)\n",
+      "Gen=     48000: fitness=0.00773970147. fitness change=0.00039024  Strategy weights:  [0.    0.276 0.724 0.   ] time=68.22(s)\n",
+      "Gen=     50000: fitness=0.00773726534. fitness change=0.00031476  Strategy weights:  [0.   0.46 0.54 0.  ] time=71.05(s)\n",
+      "Gen=     52000: fitness=0.00773352281. fitness change=0.00048370  Strategy weights:  [0.    0.431 0.569 0.   ] time=74.09(s)\n",
+      "Gen=     54000: fitness=0.00772899391. fitness change=0.00058562  Strategy weights:  [0.    0.529 0.471 0.   ] time=76.90(s)\n",
+      "Gen=     56000: fitness=0.00772536245. fitness change=0.00046985  Strategy weights:  [0.   0.57 0.43 0.  ] time=79.71(s)\n",
+      "Gen=     58000: fitness=0.00772338334. fitness change=0.00025618  Strategy weights:  [0.    0.557 0.443 0.   ] time=82.54(s)\n",
+      "Gen=     60000: fitness=0.00771968956. fitness change=0.00047826  Strategy weights:  [0.    0.495 0.505 0.   ] time=85.36(s)\n",
+      "Gen=     62000: fitness=0.00771705426. fitness change=0.00034137  Strategy weights:  [0.    0.454 0.546 0.   ] time=88.25(s)\n",
+      "Gen=     64000: fitness=0.00771573487. fitness change=0.00017097  Strategy weights:  [0.    0.432 0.568 0.   ] time=91.18(s)\n",
+      "Gen=     66000: fitness=0.00771198323. fitness change=0.00048623  Strategy weights:  [0.    0.445 0.555 0.   ] time=94.18(s)\n",
+      "Gen=     68000: fitness=0.00771100722. fitness change=0.00012656  Strategy weights:  [0.    0.289 0.711 0.   ] time=97.21(s)\n",
+      "Gen=     70000: fitness=0.0077107479. fitness change=0.00003363  Strategy weights:  [0.    0.291 0.709 0.   ] time=100.21(s)\n",
+      "\t\t ### Stop early at 70000 ###\n",
+      "elapsed time = 112.56898784637451\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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Lp8CRZXBgIXwzFDa9A2nnqvvobjzc/SGkmeN1Ic1kveKGQImeysRklAgPZgcrS5ateabKU10VITk5meDgYLtlwcHBZGdnk5+fX01HpVBcBxQXwsHFELev7Lp930G6Ej1XnMD6MP5r8Klpv9ynBoz/StYrbghUeqsyid5aNsJjhxkyY+HcVqivUkgKxXVJRgzsm+98/d55UKcruKg5bVeUsJYw7VdIPgGJx2UoaHBTNRT0BkOJnsokK6Fi22VXcLsqJDg4mORke/NecnIy3t7euLu7V9NRKRTXAWYTFOU6X1+YA8ZCJXqqA8tQ0KZDq/tIFNWEEj2ViU9YxbbzruB2VUi7du3YuHGj3bKtW7fSrl276jkgheJ6wTMIGg2EA987Xt9iNLj5XNFDUpSiqAgyoiByHcTsgKDG0HIMeIaAd1B1H52iClGensqkbg+p0kJzsoEm1Rv1elT6U+fk5HDs2DGOHTsGwPnz5zl27BhxcZJue/fdd3nqqacubn/bbbcRExPDW2+9RWRkJAsWLGD16tVMmzat0o9Nobih8AyEXo9Kx9/ShDSD8C5X/JAUpUg+Cl8OgNVPweElsGE2zOkFcbsgL7O6j05RhSjRU5no9FKWDpQVPiX/HjxbtqtkDh8+zOjRoxk9ejQAs2bNYvTo0Xz44YcAJCUlER8ff3H7OnXqMGfOHLZu3cqoUaOYO3cur732mipXVygqA//6cNfv0OZWET/eodDjEZi0CIIaVPfR3diknoWfH4T8dPvlxiJYcjfkOLEfGAshIxbyMqr8EBVVh0pvVTYtRsLEb5306ZldZX16unbtyokTJ5yunz17tsPHLF++vEqOR6G4oXE1iFH2llnQtyTC6l0L3KqxH0zGechLk4ap2QnQaADUan/9GHktw0QLc6Qvkkeg49ESBVlw4ZDjfRRkQXo0BDe2LjMV0qGeD2x8G2K2SQVYl5lS+RVQr2pei6LKUKKnKmgxEpoNkyqt7ATx8NTrUSURHoVCcRXjFSR/1U3GeTj5G/z6uHXZgYUQ2ADu+OnaFz5p56QJ5Ob3JYKjc4Hmo+Dm58uWo5uKyt9XYY7dP3VJx9HmjRBBZOHwEhj0qviA/OpUyktQXBlUequq0OmlLL31ePmvEjwKhaK6KMiCVU+UXZ56Bv6aBdlJV/6YKouCHBE8f75kTVmZiuHIElgyA1Kj7Ld39xOzuSM0HQQ3sf47LQp+fcJe8Fj440UoLKdKT3FVokSPQqFQXO+cXgtmR01TgWPLy/pbriWy4iTC44jYPWAySe+klEj58w6FgW863r7zDPvKusJctNg9jrc1myBm5z86dMWVR6W3FAqF4nqnPFFjLKqWLvFnk7LZGZXK1tMp1A7wYGTbWgR7Gwj2ucw+YYU5zl/f3X9BfiqsfAnObQY3X5mB1vkeuGstrPk/SDgM/nXEaN6gH/jVtj7ebCr/uS+VKlNcdSjR4wCzszuiGxx1XhSKa5QG/cWI64iabcH1yjZKPJmQxeQvd5CYVXBx2WcbInl3Qlv6NQshwPMyjsfVXewDpYVbp7sAI3w92DrpPj8Dtn0MUZtgwjcwYW7JOs2xr8ngBaHNIfGY4+eu07Xix6m4KlDpLRtcXV0ByM1VeVpHWM6L5TwpFIprBN9aUK9X2eWaDga9BgFXbvbUhYw8Xv3lqJ3gATCZ4aklB0nNvszoiXsANBtRdnmPh8XnYxE8tsQfgORTEBABQY2cG7kD62Me8g7oHfzmdbkPDN6Xd6yKakdFemzQ6/X4+/uTmJgIgKenJ5rmrNGgFbPZTEFBATqdrkLbX2uYzWZyc3NJTEzE398fvf46M2WnRVvD1L7hV/yuV6GocgLrw+hPYP/3sPtryE2But2lusk/4ooeSlZ+MZsjkx2uKzKa2R+TTsPQyxATPmEw4CXIiIbYvdblpmKI2uz8cSfXQJNbLrl7U1BjdHevg83vo8XullL1Hg9BjbaqZP0aRImeUtSoUQPgovCpCGazmaKiIlxdXa9L0WPB39//4vm5Lsi8ACmnYO3LELsbPIOh893QdpL6MVNcfwREQM/Hoc1EQAOdKwTUveKHUWwyO/VUg4gip6RHQ34mRK4FYzE0vEk6YAfWh3FfQ3YiJB6VzveaJpGYwmzH+/IIkKqs3LTyz4NXMCfi0mgyZDZafia4GMD/yp83ReWgRE8pNE2jZs2ahIaGUlRUsTCr0Wjk+PHjNGrU6PqLgpTg6up6/b22hMPw/XhrVUtOEqyfJRUZw/4LgRHVengKRaVjcJd0TjXiadBTL8iTcymObQQdIwIcPzAtCvZ8C5vftS5b94rcpPR7RoRPYH2oW+KzyUuDdrfDzs8d76/lGPioEzS6Gfo+Xe6NTk5ODmaPxlL5pbimUaLHCXq9vsIXeaNRDHTu7u7XnzC4Xkk9C7/923EZb+RaEUBK9CgUlU69IC+eH96Ce77dXebrN6RVDQI9nXgG02PsBY+FAwulu3RAhP1yjwDo9gCc2wIJR+zXDXwF9O6QfQH2L4DWE1R09wah2o3MCxYs4KabbqJ169ZMmDCBgwcPlrv9N998wy233EKbNm3o27cvb7zxBgUFBeU+RqEoQ2EOJJ90vj5q05U7FoXiBqNtbT8W3tONTvUCMOh11Pb34NlhzfnP0ObUDnAwqiMn1XnEBmDH/6Qrc2kC68Ot8+G2hdBhKvR8FGZugqZD4ZNO1u32zHXcgFBx3VGtkZ5Vq1Yxa9YsXn75Zdq2bcu8efOYMWMGa9asISiobMfMX375hXfffZc33niD9u3bExUVxTPPPIOmafz73/+uhleguGbRuzouc7Xg4X9FD0ehuJEI8XUnxNedDye1o7BYwj11AsqJlBfnQa5j8zMAOSnSb8gRgQ3A1RtqtJaS9fnjJMJjS0G288crriuqVfTMnTuXiRMnMm7cOABefvll1q9fz5IlS7j33nvLbL9v3z46dOjAiBFSnhgeHs7w4cM5cODAZT+3JSVVGVj2VZn7VFyaf3LeNTc/tCZD0I6vLLtSp8dcrycm9X46RH3eq4dr8bzrMqIvNvgzOagSC/Oxr5R0+tq8Q9BF9EE7t9XhanPd7pg9/DE7eLyWm4zu1O9wfhfsnef48c1HYnLzAwePvxbP+/WAo/NeGe9BtYmewsJCjhw5wsyZMy8u0+l09OjRg3379jl8TPv27VmxYgUHDx6kTZs2xMTEsGHDBkaNGnXZz3/okJMpu/+Aqtin4tL8nfPu7u5OiwEvybTldJuwuKZhHvkJOWY3TuzfX2nHeD2iPu/Vw7Vw3tvVD0IXvw9tw5uQdAIC66Pr9QRE9GLvGccRm5CQEIKDgzEajZw9e7ZMIUmH1uNh5xwxKNvi6gE9HuJwZBxFRecICwvDz8+PoqIizp49S9Oa3nivfgruXgtHl0u0x5bABlC/N/sv8X2/Fs779Uhln/dqEz1paWkYjcYyaaygoCDOnDnj8DEjRowgLS2N22+/HbPZTHFxMbfddhv33XffZT9/69atK810bDQaOXToUKXuU3Fp/ul5NwG6Kcsgbh+c+Qt8akHL0ZjcA/HwDqVdkJqe7Aj1ea8erpnzXpCBbv/3aL8/a12WEon28wOYez1O+673YfYMtnuILj0KLuyDPavBM4jWbSZidg/F7Fvr4jYmoxHdtF/h9+fRzqwDsxlzna4weBYmn3BaBnujSz8L0Rtg1ybwCyeg5VjMbt4yYHTdqzBtFWx+D06uBr0BWk/A3GUmJv8I2rVz/HKumfN+neHovFuW/ROuqeqtHTt2MGfOHF588UXatGlDdHQ0r7/+Op988gkPPvjgZe3rcqqzqnOfikvzj857UEP5az3eur9KOq7rHfV5rx6u+vOemwLr33C4Stv2EVq7SdJQ0ELqGVg0SSJCFrZ9jDbwFWg5DvzDZZleD2EtYeRH0nvHbEYzeIJ/XfnOJh6D70ZDlo1fZ9O7aOO+EjPz530hers0Muz+oKTdzm5G07lU6Hxe9ef9OqWyz3u1iZ6AgAD0ej0pKSl2y1NSUggODnb4mA8++ICRI0cyYcIEAJo2bUpubi4vvPAC999/PzpdtRejKRQKxY1NbopURzrCWASZ8RDcpGTbNNjyob3gsfDHC9J8kHD75bYDQS1kxMLqp+0FD4iwWTYT7t8CvZ+QKM8vD8s6zyCp6vILL7s/EHNz9gV0ZjPN69d0+nIV1xbVJnoMBgMtW7Zk27ZtDBgwAACTycS2bduYPHmyw8fk5+eXETYWBaiGYSoUCsVVgN5Q/noXmynqeSlw8Afn2x77RaquLkVBJpzd4HidsRDiDkC7O6DTDIksuXrKOAmfmuDoZjklEnbPhUOL0UxFeDQZCr0esYo1xTVLtaa3pk+fztNPP02rVq1o06YN8+bNIy8vj7FjxwLw1FNPERYWxhNPPAFA//79mTt3Li1atLiY3vrggw/o37+/CjsqFArF1YC7v5iDUx14M71DJcJiwQwUlTPgOS9d/pt6VqI2Lu6OIz2XKjfPT4dVT0L3h6BeHyhvaHJKJHw/Qf5bgrZ/PpxcBXf9DsGNy38uxVVNtYqeoUOHkpqayocffkhSUhLNmzfnyy+/vJjeio+Pt4vs3H///Wiaxvvvv09CQgKBgYH079+fxx57rLpegkKhUChsCWoAY78Qf41twz9XD5mP5WdTIKB3hXo9wEkpOk1ugeOrYe2Lkhar0Rr6PyujNGx9QQYv8K9nX4lpoW53iOgtkR1jAWRGO5+qDhIxshE8F8ktaZB403Pg7lfuKVBcvVS7kXny5MlO01nfffed3b9dXFx46KGHeOihh67EoSkUCoXi7xDWGu5ZB6f/lNRSWAtoMgS8a8jol+TT0mzQxRMGvAxzh8hUdFtqd5DBnh/bdE4+twXmDYMJ30KLkdblXjXgllnww+32+2g7Cer1hLmDraXuvrVh1KdQsy14lprzlZ0ER1c4f10nf4MuM5XouYapdtGjUCiuEOkx4m8A8A0HV7fyt1co/i6ubuJ/Ke2ByUmFmG2w/D6JnAAMex9m/A5rX5XxL+5+MjKiwzT4dmTpPYto+u0/ENZKJqlfOCTzs+p2hynL4K83IG4vBDcV0VN6H5mxkr6aubGs6NEZJCLl9HV5gKasFNcySvQoFNc7WQnir1j7kkyQ9wyETndDu0llhzQqFFVJdjwsut0+qvPro1C7I4z9EjDLuqQTEL3VcboKICMGCrNgzX/g3GZZdnKNRHH6PgWjP5Xuyra9gmwxFopQ6v8cuNoYqz39oOOdcGKV48d1mgFB9S/3VSuuIlSNt0JxvZN0DL4ZKj1KzCbISYYNs+Hnf0FqVHUfneJGwVgE++aXTWMBxO6B5ffDgUXwSRdY+4pUWJWHqdgqeCxkxsIvj4hHKHY3JDsohbcQtx/iD0gE1JbgZtBqQtntwztDrXaOB5sqrhlUpEehuJ5JjYLfnr04/8iOqI2QFQ+BEVf6qBTXK2nRYCqppPKrBy42l5j8zPJFSGqktUloyikxG7u4QXFB2W1rd4QLh53va++3MOYzCKgPGecdbxNYH7Z+CI0HSRrMpaTUPjAC+jwJzYbAidUirhrdLGm170bD+K8hoJ7z564IKadFbGWclxSgd6gcj6LKUaJHobieKc6DhHIuDmfWQ73uV+xwFNcp6eclFbXuVYnaeIdB1/ug+QirQHD3hdBWcHqt430EN5G0FUhpem4a3LtBui/rXOHEr7DhLfAIkPRVfhbc8xdoOom+/PkCeIXIc7r5gqsv9Pk/8QmVRtPJdovugJjtENFTKsJAytu3vCem5fp9QacXn1BmnKzf8iGEthCT9d8h/gB8P9G+kWKt9iKmAhv8vX0qKowSPQrF9YzORf4cpRQAPPyv6OEorlMSj8DCWyUaAiJefn8WYnbAoNdE+OhdxUe28zPH0Zuu98GqJ8DgLcbmHXPg4CLZ1t0Puj0AD2wXD07mBVjztAgITYP6/WDSQvGv7ZsPbt4iTAIiYPBs+PMlKM6X53H3g1tehz3zxNuTkyxRKAsFORKFyUuTAaWlyTjv+PgrQsppWHhb2c7RcfvEnzTsv+BXy/FjFZWCEj0KxfWMux80HwlHlpZdp+mgQf8rezx56VK1o3OBgL95p6y4ukg5A2uesQoeW46tkPEPlmiPTy24/Uep3rJETtz9YOBrUhmVnSjr/3wJTv1u3U9+BqyfBSaTRGi+HWFtSGg2y8Dgb4ZLBOjwT7J8zzfQ5T7o+S/p05N8Uj53ZiPs+Ew8bhZcbCoZPQMk8nJui+PXW6M1GHz+zpmSXkOW112aU79BQQagRE9VokSPQnE94x0KNz0rd5JpZ63LNQ2Gvw9uV6jfSFGu3D3v+grOrpeuvV3uhfBOqoLsWqco13H3ZQvR2+U99vAHDz+o2xOm/iJpJJNROjT71JRqrIaDwDvEXvDYkp8Km95x3IE5N0XMybU7SooNJKrUagx4BsPKx2RcRWl/W70e4GYjYlw9of1U2P0VFOXZb6vpRMT51ij/nDijdITHFrOp/O7UikpBiR6F4nonqBFMXiLCJ3KdNIhrNRY8AsHvCg1STD0rDejyM6zLYnZAizEy9VqZqa9ddC4iop3NP3TzFbHbfDiENBVzc3AjB9t5wZj/Sam6M4KbwNGfna8/v0smsVtED0hp+uC3xTOzaJJ9asqnJgx7r6w/x7uG9PxZ8bBEiEA6SQ99Wx7zdwly8LotGLz+fgRJUWGU6FEobgSCGsqfpTrmSpIRC2tfthc8Fo4ug+4PKNFzNVKQC1mx4oVxcZeooaNOxG7ekiaNXFd2nc5FonmfdIZ938LkpfI5LMiGnCQZU+HmI/s2eIF3sJiRnZGfAV6hkgZzhFdI2c9ZQZZUZtXuBDM3iZE69SzU6QK12zsWIp5+0uzw9h8wF2RJFMbNF6288RUVwTNAOkQ7Sp11mSnnQVGlKNGjUCiqlqJcOPWH8/XHfpELkOLqIe0cHFgI2z8VEWHwEpNteGcRAJrOfn7VLW9IObdt+kbTYOTHYhQGSIuSCi9XD/HsHP5J0ls6F2h7u6RhfWrIhd8v3HGpeVqUDA1dfp/j424+HJbcbb+s5RiZpO7hJ38hTSt+HgIbYDIa2b9/P+3aRfCPezEHRMgIjHWviknaVCzG7W73Q/spqrDgCqBEj0KhqHo0TSZqO1yneqReVWQni9F3+6fWZRO/EwPu/HHiDfOvJ96WBv0g+wJE74Bpv0LUFji7UURL6/HStycrTozEUZskBfbrk1J+bsFULFEgYyEMe0fE1G3fw4Lx9hGdkGbQ6zGrSDrwvXWdpkmVWMwuex9OWCsxHjsjN11mgGk6eU36KzBiIjACBr0h5fRFuRLp8goVQaaocpToUSgUVYubNzQdKhEdRzR3MF9JUX3kpcCuL63/HviKjC/ZMNu6LP0c/PIw9HocOt8DLgfh0BLIThC/WNYF+HKg9InSG+DW+SJ6PIPsBY8thxbLCAk3HxkGOm21GKTTz4lPx2yCH6ZK6XqdztBylPjUXNxF3JxeK8t2fyXL2twKne923PSvuAjSzkjPncg/S8zLk6HluCuTavUNkz/FFUeJHoVCUXEy49EV5dChnh/mgsyyAxsd4VMTbnpeRgPkptivaz9FLoSKq4e8NOtgWoCGN8GXAxxvu+1j6WbcoI8Y1XNTRHTYYiyECwclKlRedZLZZO/HCW4kfxnnYdtnENoE+j0FxmJY8qD0/QlqLB2gU05LFEnnIlEpzDJOwlnPm6xYGVTa6GaJsOz/XkZfHF8J475W3ZGvY5ToUSgUl6YgF9LPwl9voJ36Te7eW02Ang/bezucEdIU7vpd7uYj10rJeud7ZPmNYmJOiZQLu3uAGHavVly97P+dn2Ft7FcaYyHkJEoH5tKC1pbMeGmR4Gw/IMNCvcOksaFnsHXaeX4mmPLhzxeh6TARZSBl64lH7fdxdBl0nCZC2pkgTz0rYu3AIhFhDfrD2C+kFD56OyQcUaLnOkaJHoVCcWkyouHrW6QSBsBYhLb3G+m5Y6nIuRTBjaDnY9DuDkk/+Nwg4f20KJnhtGeuVC01ulnMuP51Lj1Uszpw94XaHSB2r/xb71b+9i7uMqohuIm1vLs0DfqJkMhJltRV/AH79WO/EB/Qb/+ReXDhnaHDVOkj9dM0mboOJXO9nJnDsJbNOxM8KZFStm7ZH4gIP7cFblsAP06TRp5NB0vUSHHdoRyECsX1Qvp5SD4lof689Mrbb06KDGa0CB5b0qLg7IaK78vgId15bxTBk3oGlj8oHYuTTsgU8L3fSrroap1wH1APRn9mbRppNsngTkf4hUvFkasX3Pyi4218a0kpefp58AqGid/KiAgLt7whZui5Q6SiKWaHRGK+6A+Z58HV27rt2U3QZIjzY285Vro+OyN+v73gsVCcLz6mNreWiDgleK5XlOhRKK518lLh/B4p4/24E3zWC/54ofwuuZe7f0c9WCwcXynCSFGWlEg4t7ns8oJMGZ6ZlXDlj6kihDSFycvkLysexn0pTQZtcfORhn9nN0nDP8vQTNs+OxG9pWx96b0yODR6hwRqJi+BmRvh9sXQaICUsJemMAd+fQJuft66LDNWqr0iepXd3r8udJoObuVEz447MVEDnNkg3Zzb3eF8G8U1j5KzCkVpspMhP00qUDSd9A3xCrl6e2ikRcPcwVbzaVEe7J0nIfvbF1cs9VQemk4ucFnxjte7+V46BXKjcmS583UnV5Vc0K/SqFdQA/kDEWf3rBWBE38QarSUlFVxsZSSr39DvD0NB0rpen6miOXo7bDqaRj2tnyOXD1EQIc1h8BGkuo6sEj69Tgifr/4v2xZ8wwMexdajIJDP4ngajESWoy+9Ge99L7s1vmCZ6B0XlZctyjRo1DYkh4NJ3+DP5639vtw84URH0DdHn9/5k5VkREH616zr7axkHJaSnr/qegJaggdp8Nv/3a8vuN0cPd2vO5Gx6UcMXgtCcWiXFh0B/R+0tpfxgycWi1VTxZOr4UtYTLCoShPIietJ8CWD6ScvdejUJQD2z6FkCYY292JzlSMVu6Tl5qVVZwPPz8Iwz+A8SWT0n1ry3iLS9FuUtnqMgsdp0NY2ys3mkVRLaj0lkJhS9o5WPWkfYOzgkxYMgNyrsJURFGu4/SJhROrKud5mg2Feg5SCp2mWydog5yr6iY3FZJOiuBLOlG9qbc2E52vaz0e3AOvzHGknIbzu6V5YNLJsoMviwokmlOQ7fjxgfUl1VWjFfz6GPyvmzQptBU8FrITZHlBpgjmL2+Wz2i3+2HxVPj9OZm+vvEd9B93hFodpbmgI0KaOfbX1O4EDfqKQAmsVzHBA9IEsPeTZZeHd5bSeyV4rntUpEehsJARB5vfc7zObIIdc2DwLMfzh6oLTZNIVOlp0BYqqwdOQASM+hjSzmI+sgxcPKD1eDSvUNB7QuIxSVMkn4AabaDVOLnAVKSPT2WSdk6iCPvmyTlxcYO2d0CvR6pnmrt3mPQi2ved/fKACKng8qri81OUDwmH4MfpUgoO0m6g+0PQaRp4hkll3oGFELtbIiad75HeSqV73Bjz4dtRMjOrRmuI2+v8eU/9Lt6YuH1iZO44TXw7pedimQrR4vdj7vEw2pYP7NfpXWXAZ/JpaW546o+SEvN+IlJsy8rzc+SmxMUg5mpnBNST96P5CDj0o5jzmw+Xfj+24l1x3aJEj0JhoThX7l6dkXIa8rOuLtHjGy4XlA1vOl7fdlLlPVdgfQisjymiL/n5+bi7u6MvyoOYrbDodumbAlKevfVDKWWP229tTBfe+Z+n2soj84Kch/0LrMuKC2DP15CfLmMK/GpX3fM7IrC+jGtoPQ52zYXCLGg2XM5HVZ4LCxnR8N0Y+8o7YyFs/q+MXWjQF77oJ6ZhCwcWwvD3oOlw8LEZgHlijQgeAJ0rFDtIqVowl6Sktn4oIiOwftmeOhaW30fx/bvQhXdHt+NjtKx4zLU6Yu7xMLq4ffDLv2T2V0QvEWyb3oFJi+WxRUWQEQV7vhGvkLsfdLlH0mrORK6lL1Stds6PvzLIzYS8RGuk0TNIqhbd1CT16kSJHoXCgqs3BDd1XvUU1rJqzMypUTL/5/gqGYzYdKgYKisSmXB1g3a3w5n1UuprS//nyp9Y/Q84fvw47dq1g5wLsGymVfBYKMqT5b2fkIvogYViEJ2yVPq5OCM9RoSKpomx9HKOPz8dDi5yvO7oMhlxwBUWPXBRLFKzg/SZ8apgY8L8DJk9lXwSCnPQ1WhFizqXmQ47u8lxqwGAze9KxMZW8FhY/ZSIjNhd0lOn1Tg485d1feJR6POE8+cN7wyJR6SFgl9t50blEpJjTvDoniAe7/EuIe4mDiRD7RQXuvz2jGxQmCNeOyiJkJWcw7TTUupuaVgIEL0NWoyBAS9WX5PBjFiI3ipzxvLTZZlHgDRoDO+q0mjViBI9CoUF3xrQ+3E4tcba5MyC3lXm+LhVsmE3NQr+egMO/WBdtvFt6DANej9WMeETEAFjPpPUzvFVIhZajpYf2fJC/ZVBdpJ4aByRHm1Nr7n7y933kWXQfir4lvrRz0qCzGgptY/aLGmplmPFNFvRiEhemvOLq9lcfsfgK8HlDJTMSZH+Rz8/cDF1qWka7h2mixm4oqmYC4ecr0uPlnSQI4xFcG6bTAPPSZImil42UZ/ifEg4Cs2GlS0D1xvke7TyMQhqJN2YvUNFqFgmrtui6cj1iWDH2WhuPSvixcNVzx8Pd4OIPtbvo4s7dLpLIjmegbLfda/ZCx4LR5dBt/uqT/RkxcHSe+x/R/LS4KfpcPc6JXqqESV6FApb/MJh3Few6v+sF0mfmtJrxKsKKrfi99sLHgt7v4GmQyruQwlsIH8N+1fiwVUAUzkpDpAf/TuWgLuPmGgN3hLBMJvtPSPZ8XLHXlwg/y4ukOhQ9LaKd3w2XKK7seEaqjDLviDmebNN5ZLZjLbna8y1O0DAlEvvo6gIarZxvt6/nvTOcYaxQDotg6SpbvvefrL5htkw7D2o211SirkpUKcbdLxTvHFZF2DwbNj5hfTW6fcf+PVx8YNNnCfPX5SL2eCFj8kHd5do8oslyPf2+NaEapkw8FW4+QWp+HLzFSHvXSK+inLg5Grnx3/0Z6jb7dLnqbLJSpBBpqVvnEDez+2fwOA3wUvNnKsOlOhRKGzxrQWNh8KMthLB0DT5ofWtB66ulftcGedh5xzn63d9Lr4Dn8sUW5lxIiwuHJS77tAW9heLysSnpkRlLGLFFnc/aXL350v2VWSaDoa8La3+/cLljn3DbMf7SIsS4VMR0ePubz8+wZawlleXF+tSHFhkL3hs0LZ+KKmnS0UxMqOhTld53aUNxCBRNGd9hDRNBLelyis3RT6HN78I616RC7rJKJPWez4qgujsJojdIxVapmIZMqt3hxEfQl4GuHnBg7tFnG58Bw4sAM8gtI7TCanbnWOPNeezA0b6NA2ldoAHBk+DHHd+tkR5/Oo6qNIqr9i9moqTC7Mh5ZTz9cmnxNulRE+1oESPQlEaNw9wawRV/ZtkLHQcmreQl1b+gEZHpEVLO/1tNneaele5s2wyxPnUaQdEpeTgrtcRRDqu5gIZAlk6vefmA32fdly6fNPzkgIpXTZvNsGqJ6BOZxE9RTmS0nLGyTVS3u3iXv4BB9SDMXNg4SQxnV9cXv/ampxdXCRizxmZsWAu3yMDSOn49s8k0rb0bus+XdygxyPSLdndD3Z9UTYt2GUmHFtp/fcts+DcVrmY375YfD7F+ZKyTDgqnpsG/eQ9aDZMxPb+78EvQnxqZ/+SmVaaDlqNh4b9JIpUrwds/wRt0zvgW5v7ej2O5t0fCjMgK1sqxFzcpSIwN8k+LerqI8919GfHr7/lqEufowpSv/5lfHYM3pLWSzzmeH1wYzD4Ol6nqHKU6FEoqguPQPEsOPtxrN//8o3IFw7C1lKlv8YiSSvUbFch0XM+LZf1J5IYU9+IZ+JRiUblpWGu3xet451obv50qOMJ53dKVU2rcRDaHDa8LdVvwU2gx78kfbF4qvMn2rdAOvKiSZTGUTQC5DxpFYyyBTeBO36U6FFqpEQrfMOtnYWvBVxcJUJzbIXD1eYabdAuJQBBuiIf+1mMtGM+F/FhLBY/TOJx6aAcswNuWygdvOMPSKSzx8PiNdswS/aj6aDJYJg/RoTTgYUl/XNcYetHEqHTG6D1RHnPCzKlVL7v/0mPnfnj7IsDLhyCsFbSAuHzftblqWfQVjwEk36AyL9g52fWdXpXqShr0N/qU/MNg/7PimAu7ddqc9s/j2zmZ0FWHLpjvxCQfArCO5UIuwag1zt/nE+YnMPjK8umuDQNuj0IXleoP5OiDEr0KBTVhYc/dJ4hF5HSTf08AqR7rMGr4vtLjxHvhRNMu78iybsJBoMbAZ6ODazJWfl8syWKe9sa8Nz+PtqhH2HoO1CzDVphLhTlo2lZaN9PkOcDSSmN/QpajZXIT2a83OmazXJhdUb2BUmD+NWTJoeO5i/pDdLULj0KMIPB59LDSi3+poie5W93NVBcLCXXhTnSodnNR6qdmgyW0mxHkcD+z1bMoB5QTy6y8QdEfKRGivfGVCzRlpqtpY/QkhnSNbnb/VCvj/iv0GDYf6XiTqcHzNZIkdlcVqgnnxBRZRtNKy6A0+ug7W3SJPLYL9bO4QmHJXIU2sK+lD24sZTZ2woeEOG+4l8wc5P9aw9pCnf9Dgd/gNN/SuSq8z0yJuOf9GUqyhNRv/A2NMsxH1wk38upP5eI9XLwrSVCc9X/lareeu/y09WKSkWJHoWiOvGvC9NXywU/8k9Akwvezc+Lj+hyKC4QP4/OBVqOkQZsZrOkQg79hC79HN9vOUVigQv39mlAffdciQbo9BcvVul5xfx8II5n2weiHV4C96yDrR/DykflYqnTo7UYI915v7hJxFrsXlg4UUqJf3lEjmXDbLjrNwjvYl/qbEuDm+RYdcjxnl4LUZus6/3qwMTvpNng4Z/kdTQdDv2eBr/6YHBSeXStkBYNZ9dLBVJ2gkRUGg+CQa9LSm7qCjmfliaAvrUwD3oDc2CjS4xtKMHNR9oZdJoBv79g37k7ajPm0BaYbv2eBL92hO16C33Hu2SbP16wihMXd/ksNh4sx5QZKykpVw+J2GScl+1ajZfS+Lw0eU/d/SF+H+z4n4jbWh1g0iIRcue2ymOOr5Q+Qbaip82tMoXeEWYz7J4rlWGeYVaPXXAj6PWENEN0cStbGfh3yIyFn+4qO94lLw2WPyAepvIq6PzCodFguKeDVKxpGngEieCp7ApQxWWhRI9CUZ24ekhr/+EfQHFJvxSDt9wppkVBarbc5br7SkSkvHb7br7isWg5BiLXSslscYFc/DpOx9T4FvavK8Bdl4dn2nHMe95Di9khd/vdHoCInsRneDGtez04tQRGfgQb34UjS6zPYTKKACnMgdH/gx9KJlInn5ILnauHtTv0svtg7OcQtbGsZ8SnJtS3GWsRECHPlxEjzQ0N3jLCYd4I+0GnR5bAmXUw4w+JClzLnN8h0QsLZpP4l1JOwR0/SeXVxHkiTI1FmN39iMt1pUZF0zZ+4XDTC1I152BUiZZ4FO3ocr5MG0intu8xuCAJ3Zpn7DcqzoffnoW6vWDkh/K+R64TsdvnKREZIc1k2dK75QLvX098Xl4hUnYPEuk5slQqIzPOS7m8pi9r1vYMEuHujMzzsOk9qRCzrUwzuFubDlYGGeetEZrSJBwuWXeJmxJPX/kLalR5x6X4x6jZWwrF1YB/bfGjBDcB92C5i/5xOnzWUzrmzhsOJ36Ri4UzfELhpmclDL/3W2s1VEEWbP0Q7dQaJrUL5pXORYQtHIR2fKX0YEk4LP1gNrxJz5B8HmjvJnfVIU2k34kjTq4G/1LTqLPi7cde1Gon/V2mLBcPB1j9IVN/LnsxCKwP9fvIqI8+T0s6xNFk97w06cDrzAN0LZASCeted74uuaT6x7+uiOLa7TH51+NCYmLZbU/9Id6aE2vsDdwAaPYdqkuhO7iISc107I/OkKowkPesyS0ytdy/rizLSZSREgtvg52fS3XZLw9LinP317D2ZWsPnvRz8nlKOiYVYhaKC6RjdqcZ8m9LdM+WpBPiPXNGrQ6QcBDWPC2RsqrCUcNGW8rrRl2VFBfKe54SWb44VDhFRXoUiquNzGiJcNj6OTQ9oMlAyLj9Er3xjyhrqDQWS6TEAdrOzxlw71RcfnrGcRO//d+jdZmJ9t1YGPWRRBiclE0DcnyazrpNjdZyYTN4w7SVELNLok0hTcW0qneT1IfB+9KG6qy48nuwnPpdGtVdS2XothgLyx95Er1DhIctJhPt6/mhnd8pZdF+dcVbs2S69T3wqQGTl1hFptksaUlnmI3oNQj30dBiz4oBt04XOb8F2dDrMfFReYfC9xPKPr5WW1jvRLxtfBumrZL/WrhwSCJEdbtD/d7w12v2jzn0o8zZOvNX2c+eu7/03VlfYrAuuoQw+ScENrT/bNviESB/V5q0cyJg98yV7169ntLDKKAhePpf+eO5RlGiR6GoLEzFjidCXy6nfrcXPDXaSCn278+WXAzMkpK6+UWo3xf8bYydlqGSjiguQF+Q7rxaDNDO74Iu94r5tdmw8o/Tzdd6UQhsIMMqp68S4fXbf6xensSj0onZzUd8PhUpm3dxk4ut0+f2qZxzXV1YxJ+z5oABde3/XVSALn4v2uKpMpoC5KLc4U5J9X15syzLugBbP4V+z8jIC72rzF+zpJlKYWoxhh9OGMnMNVLc/WFcEg7CD5OtGxxZCjc9J1Gb0rj5yLE4asIHEmF09Pp8a8OoT+HMRjEhH18pYsi3tkT6zm6WDuN/zbIKw/BO0tvp54es+3H2vJWBu790YN/5edl1N79Y9Z3OS5MaJWNdYrZbl51ZL5Vr01eDZ5crezzXMNfwr4ZCcQVIiyqZBaWTqEJpP0VmrIT19y+UVEyD/uJV+bt5fFOx/Q8bwKhPJK2Qfs66LDtBUggT5tmLHo/yS2HNrp5o7n6SwshJLBvxMRaK8bT5CLkw1+0uzQFLU6u9daZTWEsYN9dauXNmg2PzckEW/PU6DH330mZTnzBJg0Sudby+04xreyq2V6gM4tzxv7LrXNzFLGxLxjm0+ePs0y5mk9z1B9aXqNfur2HifBGVf74kzQANXtBynAjnCwft9+lfl8KWtzLnvRP4e7rwWvdmsOltEbBpUVZBW5jjeH5Xcf6lh2eWLq2v1QF8asH7zUW03L8VDv0kzSdj98C2j+V5Q5tDj4cgpIWIt+ICOLhY5nmBpMAup7LxcvGtAd3/BaEtYcv7UlEW2gL6/wfC2oBrBVoGVCbp58r+LoD8Xvz+nPSh8r/CQuwaRYkehcIRGXGQdkZ+UOL2Sel0y7FSORRY0vMlKwFO/i6VTRaOLpcUw9QVkta5XHQuUiVjoWZb6XGSl0pW18dJqTeEQqMOb1MaYXs/QL/uVbkAWEycXkHyeAepE3O9HhhdvNCGv4eWkyTbxeyUH3VTsQi74MYSpTm8BG5fJAMSl82UcRkWQluIQTntnFTkuHrKBdb2HDjj5BoZLVARarSUHkCHl9gvbzxIQvvXMh5+Mhsq8ah9FMbgJekdz1L9maI2O/eZbPtEqokyL8hnL/6AjCM5/otE3RIOS6QwapP04zEVY2oxhsIWExi7SHwhj/WujY5caaFgMkJYC4k4JhyR4aF6gzS9tMVYJMLH2Uytmu0kRWr72oa9C5gkylWQJaKoOL9sg8HEY/DrExLFMBbDqd+sz683wJDZVS96A+pCp2mYG/TFbDKh6V3Qqkton/rd+bqYHVCcd+WO5RpHiR6FwhEZMfDtSGskxFgoBuHYXVJZE9hAKjh+fbzsY7MuiFga/sFldUC+SJuJ0m/HbJI7/oQjnB+3kpe25LF2YxJmMwR6Gfi/Pq8zpOhP/I0lhuX8TLlAjP4EfpphbwIObgzD/ovrdyPlrtVCs2Ew+lMRNje/IF10Qapz9n8PLl5wy+tyocmKl7t0D38Zknp0mTXFMH21NeSvd3P+2nSXMcojIEK6One+W6IBpmIRQf51K7dSp7qwVKzlJIuo9AqRCIdnKHiW8iolnXC+n+wESWMNfEnEwrFfpJrKQuRaifRMmIep8WByi4x8vi+XD987QZCXge9ua0QPz2i09Z9a06cgfXv6PiNDMm//QaI0lvJ5C1s/lrYCC8bbizLvUPlc7f1O+jjV7iS9mFy8pdNzuzvg6Apw8xMRvGhS2ddVt4dUMcYdECEXECEtEHo9Uv4cvOwkEQHuASU9h/4ZJr+67N+/n3bt2lFOS8Kqxa2cDs4ubpQ/jkNhixI9CkVp0s5JNYojs29KpBiJAxtIvxFnRt/Tf0JhJvA3RI9HEIz/GpbfD+nnSejxInf+GEtkUg4Bnq7c3DwMd1c9iw6l495hEKNcvaQMMyMavhwoF5xBrwNmEW9BjSC0Bdq8kVLya8vxXyVyc/da2DNPvDcWzmyQaMTPD8Gt30F2MuyaK7OTOs+QmUuf95Ftd31pnW/VapzjtA1IP5fLMR8H1pcL4y1vXPmUwpUgoJ78hXcsf7ta7Z2v868H6ERsFmSK4PGvKynAwPoSwYvfD6f/QNduCq46A2M7FTClfQB+Wadw3fE8Wm6ypDK7Pygl6gDxB8UzVq8XLL5TDNIHFsG+b0Vg1+8LPR+B3DTxFcXsgKST0jYhtLlMaPcKkXEXSSfg8/5w95+wbz6M/xI63S1pm5AmcN9m6cd04Hv5fHS4U8RuQD0RO7XaWVs3OCvZz4iTFN62j+TGI7yzdAYPqH/pYbRXO82Hw/o3HK9rNUFGxCgqhBI9CkVpTMWOfSwWTv8p3YfLm1BtNjkWTRXBtwbU6y3dZ1PPcrbAhzPJOTwxqAl1Az1ZdSie2PQ8bmoehn+gH0kmN8JSo+DgErkz7vs0mIvlYhTWBvJSJD1SWvBY2PUlNBsuHWhtcfORC+mt82UEgcVAC3DiV7kozfgTvhog0YqifLlgeYXIXf3uufb78wuH3o9JOqQipJyR9+HIUkmDdLhTLpD/pNPu5ZIWJa/t0I9QmAstRkBQ4ys/x6t2J+dppH5PSwl/9wckTVS/j5jRN7xl9fHU7S5Rm/wM3Ix5ROhdYOcn9p2PY/dIyfv4r0XwZieI0Oj1qEQTEg5L1+Xbf5T3OS8dlt0rPpf/9ZC0Y+NBsvwzJ+nHze+L4MlNlb+/XpMUn08NmQfWd798/9JjYNc3MOhFedyl0krZibD9UxE8FlJOy2dn6orqmbZemXgEwqBX4ffn7ZcHNYI+T6jqrctAiR6FwhGegY4vMCAmVCjfVxLaXLwufxfvYPE61GjNvj1Z3N+3ITGpebz7+8mLm2yLTKGGrzvf39UBVkyXeUNj5kiqwFag1GwrIwUMXo59IXlp0vOjy72w8jHr8s53S4ph45v2+7Ow60tJU3iGSGddj5IePYER0ONR6fOy62uJNPR4WF6TbR+f8kg9K68j6bh12fGVss8BL10Z0ZEWJdU72z6xLtv3rczFGvv5lRVfwY0wT1mOtuw+ER8gvpjeT0jvpt1fQpNBcq57PiLGd2OR9fHR2+DHqRLRK8gDPWVHPdTpKuMovuhvP/E+IEI+P3H7oekQMU+3myyRt5ueE0Fav6/4TgIixAfkjNjdIqRTTsMKm0qsrAvw27/FP9dsGPx4J3S9v+LnJzfFXvBYKC6AVU+K9+xKV1xVJr41JUpavy8c+AFyk6WlQc12Vo+hokIo0aNQlManBnSYJi3zHdF6nPzXM1giJMdX2q/XdDKVuqIXZkujsZxE6Q/iGQh6Dzi3BWL3UL/WA+hcfbj3uz1lHnohM5/PNp3jlaAWuHv4Sofk0gIl/gBsehfaT4Ydc8o+f2ADSTPYXhTq95GUgKlIPCIgjRPDO5XMVFornqZjK6D/v+XH2LZbdGBEyV9jyDovd+GZ5yXl0H4y+NQGdyft+AvzZBipreCxcHQ5dJha9twW5koq7+jP8rha7aUJYkB90P/Nn7nMOHvBYyFmh3iMevyrxE9xZTCFtMA84Vv0RdloxQXirfrjResU+7/eEH/Mnrn2gsdCfoaYwluOlUhdaXr8S7xdtoIHRPxt/1Te/5xkSTd+O0Kew81XUp03vyDCKjdV2ik4wzuUAlxwW/uS4/WHFkvVls4FWoyswFkpIdpBZZOFC4fks3otix6QKK5vrUvP/VKUi+rIrFCUxuAFHaZISsAWTZPhm+7+8u+AuuI1uWWW3OEavOTif9dvUupaEeL2wzfDpOPyT3fB533FQ1OQLh1vI3rSMTCfLZEpTnfx84F40ppMKDEbX3C8UeQ6aHSL43U9H5GLWWB98W3cu17u7PctkIuPRwBM+EZSVrmp8pjh70G/f4PRKJ11gx2U6GfGwfEV8NUgOPyjXBS3fiiRhJRyjLmZsWIad8a+70TkWCgukiq0Ob2lJP7wEjGSf9HfvurscjAanc+AAqmCKq8nUhVx4Fw6ptBW0kBQ7ybzzga/KSvj98tFMXa38x1EbZZZa6VFkVewvLfOKsQi14qpfsv7MjvK8viCTNj8nojRzDhJiXae4fTpE9s+yM+ni8lsOcX5MSYeg453yaiSiqK7lMVYXeoUgor0KBSOCIiQ2VKZsRLV8PAXv4KbtwzCvLhdPfFSNLkFMMuFqPR4BmekRErVS06S/XL3AEg+KRVj7v4EJm5HRyenuyk2mTHrDZDtQBjVai8XRp1eBnbeuVJEwZ65kmrq/TgENBDT6uf9rBezWh2kQZx7IEz8VmZE2Y44OLxEIjbdHpDIlCMKskV8lKYwB1Y+LnOlnKWISg96tHvBBeJZspAZA0vuKhuhKMgSz8nk5WWb/V0KY6Hj3jS2+67C3njloWXGQk4C7PxSKurqdoMHd4kRXdPEU+VsXIl3qBx3eGf75QZv57OmoKSzs1FEtaNuxLu+grvWyPqcZDHS//G8ndE/u8N9/JUTwdOrj9B8ygRa7//CsS/OI6DEgHwZ71mdrs47KNfuIN9fhQIlehQK5wTWl7+IXpfeNqjh5e8/JdJe8PR5SiqfinLlIvTANji7GX3CIYY3v5m5Wx3vZmDTQPyiVkHDUmbNej2hyz3i07F0eNZ00PU+ieYkn4SEo5D1B+z+yv6xcXvh+1ulHPn4rw5mOiFVOB3udP764vc5H4EQv9+5qPAIgKZDRZg5ovV4+xLerATxdDgiJRLyUi9f9Bg8xFtSOnVpocFNVTctOz1G0ooGH/C279fTrkEI2olfwXYw6NkNsOMzmPoLnN8tQnSJk2hLpxliHu71mDRH3PedLM+MLX+Aq08NESi12lnngtlSlCtpsJ+mw+jPyKnZlfTJmzFc2A3GInLDOrHkZBEfro4F4OtDebzZeBiGIz/Y78fNR1K8l/t+eQZD/+dg3Sv2yw3eJc0w/0YVpeK6RIkehaKyST0jF66k4yXCqaFjUWR7Nz7pB+kt8t1o8dgMfBnmj7s4VLNeUEdubtyQtafS7Xbh7ebC//UOxiu9oRiKJ34nXW1jdkjVzQ+T7SMgZpP4MwIi4PweSeM56pEC0uDQXFzuwEr2fy+pFkcYy5n5BM7HCHgFSfTs2IqyYqZmW6hZqny7ON/xfixNDP/unKQ6XaU6prTgc/WEPk+KEKhMMs7LaIFtH4tBtf1kEX7p0VC/L7raHcBUjPb7s2Ufm58Bq5+U9KubT9nqOU2Tiev56SKAVz8tPYIa3Sxm7dwUeb+aDJYGkqXp/YREkvo86VhQaVrJyIvb4cxf5IQUMGFjLVz0ddHrNKJT4zCarO/3haxiiuvVw2C7D71BOoxbCgUuB68gaH+HRL12fCaz2+p0k2ns/le40k5xVaNEj0JRmSSflMqZlEjrMp8a0tCwRmsJ/+dnSISndnt4YDsc+VmaqM29VbYfPxeW3Wc3RTx47ePMGjmfTa2a8NX2C2TmF3FTkyAe7l2boOJ4yA+QlIexUC6W3R+E87vKpnwsbP9UfDtmc/lpnOIC56ICyl9Xu4NcDB2Jm+Am5UdKgpuIN2rHHBk86uImlWItx5Y1MfvVFu+RJapUrycMeVOiHue2iu+k1ThJ+zjr8eKIoIZwx4/SP+bgIijKEyHV/z/2Kc7KIDNeBmnumy/CI7yzDJ21pGv2fYfW63HMQY3Kb4XgHiBDaHs8Kn1wojaJGKnTTdJakX+K4A1pIuflxJqSvjot5Ny0nQTBTWHvN/L5C2oIPR8Tv06/p6V039HnpeHN4hdqOgQWT8W7jTtd6jZh+SHHFZB967rh3rgf+AXBhcPyHtbuKKlhj3Ia8ZWHTw35q9FaIk/uAeB65YzmimsDJXoUisoi7VyJ9yXSfnnWBfhhipiEd34upd6WC3RAfZi8VJoC3rlS7tLNJoku+IWT2v4BCoJaoM9LJTQwkHHbXqN/my4UG3wIqumKfv9yKdW1eHF8asKwd+QClxnn/FjTz8lFDyRyUZTreDtTMTQaKFEXR7QY7fw5XD2h+8Ow9QP75ToXiUh4XkKABDeGm56VdJymgV89+woxC57B0uNl87tyPoe8BfPHSp8ZC5vfg3FfQv1+EhWoKIEN5Bi63S/izeBZNamS3BQRPCBG4IWT5DU3HwUtRsk5c/V0LDjqdJUITPQO+OM5aRLZfJR8lk6vtYqBpffaG5U9A2HCt7D8Ptj6EbS9DTS9VBGO+1IGgBoLJTJUlCPdl7s/AJF/2Z/bGq3lPfpxmhyLqRjPI4t4cMK9/Ho0hSKjvej19XBhWH0N3byhcn4DG0gZ/vrZcI+DmW2Xi7uv/CkUDlCiR6GoDNKiIC/Deels2lmpjtn9dcmcK1cxfnr4SVg/oK54T5beA4Nnk9X+Ho7Uv4s3NqZyJC6Tmn4BPNDdk0H1RxK86m65sHneB5v/a/88WfFycbv9R4kWWC6kpQlpLiItbp/4PBz1OPGpKeXvnabLeIJSF1xzeBe08uaLBdSTC3jdrnJRzbogxupej8pr/nog3LoAgsrpM+IRcOn0lGcgdLlbohdeIeJ3sb0ogwjJ5fdL59/LET0VPYZ/SswO+W9gA+lerDfAuC9EtKz4l4iVoEZoA1+R98viwQptLqbfxVMlEgVStr/pv3DHEkmZ1usuxvHSlVm5qdLDptv90oX58FJpTPjDZIm6rHtdPtetx0vX59BmIkwGvQquXvL40GZikt8xRwRwYCMRa0W51Nv6H368/XWeXZvCkTgR2N0bBPJKXz/Cf58ux5B6Rv5ASsotA3Mz40VsFWZLtaR3qDIjKyoFJXoUCmdkJ4kHwmyS9IqzSqOMWNj4X+gwufz95aXB+HmSNqjTEfZ+D2f+lO62PR+TC3V2ImbPYLaEz+S+762NCM+n5fGfVec41K42z3T7P/z8A2Gjkz5ChTkQvVUmpXsEWE3MtnR/UHr3uLjDwFfkuQ//aE1FBTWUiMmvT0hflhl/wpYP4PQf4OaDucNUaDHm0jOwXD0BTZomGgvl+ZbdD+c2yfoLB8sXPRXFt5ZEKhKOSkrHEcUFUqUW3OSfP99lEJWcw8mELA7HZdAg2Js24X7U8ffA1dWmzNrVQ/7r4i7i8ubnYcuHVjEEEv1bdDvmMXPQzu+Sc9f9QVj9lFXwWCjOh2X3wNgv5P0vLQItJB23Drg1FlpTZx4B4tXq86SU55/+U7br8a+S7t4XpBniqT8kJdbvP2KSNxZCkyFwYhWGqHW0S7+V7zo+TMbNbdC5uuPvF4jfyZ8guVQPJk0HQ96W70JKpAi9c1tknd4V2k2RSkPvUPEe2Q64VSguAyV6FApHpJyGv2bDseWSOqrdQXryBDQEn5K0TGa8CBidCzQfKmJDb3Bebu1XWyqhWo2XC1Gj/uS2n0ZykTuHz8VTpNWi9b2ncHfR8eLCso0IARbuT+Hu6SPwK450OEn9IqlnQGeQQZG/PCqt/kHumns/If/OjIMpS2Wm1k0vykUl6QS4GETI/fKIRI7GvigN54a8BTkJmNGRkO9GiF+NSw9gLMiEpXc77/9ybAU0GyE+lMrA5KApX+njuYKcSsjizq93Epdh9T75ursw764utKnti97yusM7yeco9QyEdwVTob3gsUH76w3pm7TqSUntOUtjZsaJiPK+RL8bS6rV4M3FOvziAhlS+oONkE+LkojfwFehTg+o21nev3nD5XNSq72Iol6Py2yuc5shPZrAtU8SGNJU+lllXIC2t0JIU0l7psdIeqz34+K/8gqWz53l8wry/dvztfTB8q0pYqjlWPlOqm7EistEiZ5rmfQY+RFPOCx340EN5eKk8tn/jJRImD/eXlTE7pUmgnf9LqIn+ZSkBKI2yYTxxXdKB9mOd8LOL8rus8VIGdPQfMTF8QpZHe9npe8knv/tKMUllS2adpZ7e0VwZ/cI3vrNcQO/48lFNHRLdVxZZCGkmfTlidklYs3gLRGrolyZco0Z7lkn/VV2fwXNR4r5t0YbSD4h56DrfeLnidsPKx+RyqlmIzD5hRMbdYSQGg6ql3KSJTqmM1jLjp2Nv4CS+V6VOLva4C3DNp31qSndn6YKiU3L5eklB+0ED0BmfjH3freHH2d2JyK4JGLhFSql1SsfkQv5yVXOd5x+TiJo47+Wcv3yyIyT9F+rCRLJA4niuHpI9MfFnYsTurvdL2K3Thc5T4tud7zP9bPgvi3wxwv2A2pj94ivZ9QnImwGvQZJxyR6k58pzxPSXPpD5aeL38vdV8rlf5oh5v6xX9gLHlt2fykRw+O/yl9YK5kLd6XnoCmuaZTouVZJi5a28wcXWpcZvGDcV3Kn6OWkYZzi0pzf5TiKYjLCutdgxAdSTp5+TkL7O/4n6YSDi6UiqucjUi5ckCkXlza3itgpzIIFE6STr6sn5xpO5t/fnrN7CrMZ5myKYva41oQHeHA+La/MYXi76eHAQmk6uPLRssfp5guNb4E1/5bho4unSgmvXx1JVzToJ16PXV+Kxwjkjr3jdGh0k6SbGg0Uv8+c3tbI1dGfYdO76KYsJzDQvn8Meely8dr6kUQovEOh24NQs42kJja/6/hct3VyYf27BDWUxniLHXT8bTnWvr9PZZF6RiIjOhe5oJc0a8zIK2JvdLrDhyRlFZCYlW8VPR7+8hkJ7yTRqvLKtnUukg4yFctzuXqUTW+BLNfpJFozbRVgFn9ObrKIkKBGIoQPLJTePu2ngmcAtJkE6Wcdp0WhpHFjpr3gsWX9bPmcbXhTooPFuRIBtURlkk/L9ygz1v5xvrWdD8WFsq8x4bAce68nVJWWosKo3tzXIsXFMg/JVvCA3E0vniLVF4q/z+k/na+L3ioXuPQSsVKjNZy18ZD8+riYaSctkp4joz8Tj8bKxyU9UDK6oKjJML456OBCVcLiXTGMbFu2SijEx0DzIBe5AGQnYL7pefvBpoENYOpyESwu7uJFyipJf2TESOpg8WSJhMTts9/53nnW8Q5pUbBwYtlUXWEO2rKZ1PUp1fk2+YSMfTiwUERA9Hb5LG79SBoYOpoX1P1fkq6obGp3lMna4Z1FIPjVgUFvyKDSS03rvhwyYuHEamni+Gk3mSz++3MXjbn5xQ66A9s+PLdQvDEWvIKgRivx2QQ3cj7Xq9lwMQt/NQjQZHq6I3o+Kn2U8tIk/dSgn/xGaDp5X76fKDPEBr4iAjqgrrz/53c4HjBrwS/cOr3d4QuLkWhSSklX8ZBm9mkojbJdyEGOs7zRE3pXOXZb9i+olnEgimsXFem5Fkk/B9sdDEIEyX8fXylVFYq/h1eI83Uegfa9aQqy5G47M1ZSiwYv8St8O8K+n0rD/nal7IWeYcTGOu+3kpBZQA0/94v/dnfV8e7QWtwclotr1C8Y295BcURfDqUZ8BgzmJou2fh7e6AzeMK+7+XiPug1mNOv7M59akBYC1j3qv1yU5G1L0xOonXOVmlSz6AryOTiJT0tSprdOeoJtOtL6DhNPCgJxySi5OYtpmPvGhUf2XE5+NWWv4D6Vo+Ps3L3f0LCYenJZKG4QC7C8Qfg1vkEewbhadCTW+j4fW4Y5AZb35Zz3nSopGn868pnLOkkjPhQDL22wjOkmTThK8yWmWdJx6HZUCnvXz9b0p1BDaHLTIlWHi8ZLJqbIk0PLcblUZ/IiI7DP0kloKunRICaj5TmhHW6yOfE0Sw3nUFSVuWh00NQkxKfUCn0Btl/1Gb75UW58rr861lvKmxpOVZEpt1j8qi2eSCKaxIleq5FNMqGhm2xlIBe52h5GXSo5yc/7l7BlVfS2vY2ad7niK4zAbMYhBOOwonVFPZ8kgR9TY5nuZGeb6K1oQahfV4jcNML1v45SSfFw1CCR9IhutcewzYnb1X7cG8GNvLBe1gttsaaeLKHH2F/PIT227aL2+g1jYYD3+fNc01ZdCCVPx/tRSNjLLQaLf1Wls2EcXNkyKdl0GTT4eI7WvlY2SdtPcHaMLC8poNgfyEuzC0bNbIlarP4RQIbQPNh5e+3MrncUQaXQ+pZ8bQ4IuEwpJ6hRtoGHunTgVl/lo1EjG0bRvCBz6yfsx2fyWT70Z/K6Im8VPFa3TpfhEp2okQVTUWS1h7zufh1LGm8h/bI++dVYmze9K59ija4qTUimHZW0kvdHoC1r8gN1M0vwZqnYePb0O8ZyIiTNOHy++yHk2o6uPk5Gajr4uZY6NbvI40hez0Gvg58X/51pTv03MFlZ2Xt/ka+W4un2I+7aDxIIlxL7rLfvskQ8copFBVEiZ5rEU0vP4AXDjleX3o6+PVI8km0zR+gHV8pof6WY6VxWpCDad8gnpOcJLloeIaCd7DzfXsGS4XKH8/bL4/oLXehc/rIv2t3xDTodXbl1eGu+YcouJjOiGdgk7a8Pup7QpdNlGNrM1EuSAERkBaF7txGRvcw8PlOF7IL7Mc1uOg0/tXFj5rxfzL24H8Z23IMHM+BmG1222E2E/DHo9x/2wYWH0wlMaeIRsF+YhI1FkHMdvj5QUkvdblXLnoBEVY/ki21OoiJ2YJvuKQTSk/jBrnLtx0yqmnOzyVIiul6ozhfxIgzzm7CUKsdE4LB17MR7/0VQ2JWAb7uLtzVoy53hEbhu6JUy4GzG0VA/v6cjIcoypUUVHATEfQHFkrE5tYFYpY/UWJ21jSJOBq8pBdRKczNRmBCR9Ggt3D/cZJ8D+L2Sll8z0ckQhnS1NreYP1sER67vpI07bFfpcQ8uKn0XfKpLV6hMXNkJIVtRNOnhlRv5aVJtM0Z/nVgyjL47T+QcEQEeZPBkoIMbiI9hnJTJNroW0vGcyyZYf959AiAng8r/6LisrgOf41uAAIj4Kbn5QexNF4h17/oST4Fc4ei2foCdn8Fp34TL0fpOVdp56QTcqOBcn4OLICifLmwWIQIQGE+ZESLaEg4LCMIzu+G4kJp8JZyWu58LcTuQbfqSdLafmojeIQ/TqbTtkYNHhj8NrrcJFg6U+6gb/teLkzxBwhf+xA/3j6HZ/5I4cB5GTnRMMSbWYNCqHf8CwgMlwurfx2pFHOE2UzAudV0qNsHP3cX8AuWi01KpDVNsMnm4jr4TZluvv976bHi4gatJ0qqxLZfjmegeEI2vl32KQe8SHKROxcvNQYv+cxFbyuzLZpWsYGt1xqWDsnOOln7hYOmJ3DHbG6r2YH+M+4gHwM6vY6aJxbg+vNzjsdzmM3iKYvaLM0JI/+CA4tkvEloc5mXFdoCfrjD/jFFefI5Hvq2+HXSo6U9QYcpaDXbkp4cxxvHQxk3YBlNs3cSlB8tAuL8Lvl+hLaAUR/DkeUyaiJynUTzMmIhoqd8HlJOSY+lvk+JQb1+X6niOrK8ZD5Yb/FTubjLjUN5vXR8a8nfrQvk2HUuUsln8XgF1LP3X7l6yPdy//diwm88WARPwN8Y9Ku4oVGi51olrKWYZP98wWo6rNMFhr0vJsjrlfxs2PudYyNkxnnxM3V90OrfSDsn5uLeT8iF5K/Xrduvf0M8DINelQtG4iGpdBr5ERz8AQ4tlujH4NkyFiA/vexzJhymay09yyfXJZAs0LlwrsCbrAIjTfxNaP7d4PASqarb/F9JO3R/CPo9gw5oHqAx92YT6aZQzIBv1mlC1j8ugmPrh/Icrl6On7sEQ14CbWr7EeZWJGlP39oi/Aa+Aj+WmoK+5mno/ST0eFiqtXQuckHzKhX58gqW9WGtRPiknZVoQN9nMIe2IjryAoGhJUZr/7pS7v7N8LJ9cPo8DYbrsIWCV6ikQS3Vb7boXOT8fzcaAO34r9T461X5DHaYBjFbnA9bxWRtLbB4qqRvRrwPOlcx7GbFy3vSYjQcXW7zOLN0onb1kOiNZ7BEow79CNs+JqDRYDzcnuT2H+K4vWNbnunSGd8TP8rnOzNOmk5G/gnDP5D3Oj9Dvhvntsh3wZbFU2D4+9D6VhFioc3//nmsaLl5YH2p0mo9UV6rR5CK8Cj+FtUuehYsWMBXX31FUlISzZo14/nnn6dNmzZOt8/MzOS9997jjz/+ID09ndq1a/Of//yHvn37XsGjvgrwC5chinU6S/mpixsYfKrWx3A1kJMgER1nHF8p6SSLQTYvTSJDmt5e8Fg4tgIaDYDG7tKPZtDr4lvwDJTQevwBEZW2oiOoIbSbLO+Bmw9BWScIWfmoXPAb3kzdzjNgx2ypcNE0GPaetOm3dJj980Xrvmp1ILDNRALXlFTg6PTQ+V6pPGo5WkyfhdnShiDG8YiLnLo3c7cfBH/VWdJUg16FgMYy0PT2xfDnS9L7xN1fhEyHqeUbiDPiITte0hvmYvFfBDUAFw/wD8dsNAKlDK7BzeCetbB/EURvAa8w6Hov+NUF/3LSHNcqHn4iLuL2S6rIgs4FRv/PsSds07siVur3kdSUppNoh7HQeuNi1qTpXuxeSRsdXyl/Fmb8AXP6yigPdz+puAOJ2hgLJSL06xNlnlpnKsBND6E+btze0gPP2A1SiejiIQ0FdS6w6v/E3D70bamicvWUGwZHrHtFInhujf/O2ft7uLpd3zd0iitCtYqeVatWMWvWLF5++WXatm3LvHnzmDFjBmvWrCEoqKw5rbCwkOnTpxMUFMQHH3xAWFgYcXFx+Ppeh3eSFcHF4NzDciXITpRmdMV5cuflHSKpjqpE5yJDH53h6iV3xRbiD0ikxtEduYUdn8lk7vM7pddORG8ZYGkRJ3pX6xTv3k9IVGjHZ3KBCWqErstMMepu/x/0fITsE+tJ7vcBWcUueLmYqOdZgN5RPx2QC+aI9yXMn58u/gq9AaI2wsnfSiZ7D4Th/5VmcWlR9o8PaoRPcC2Cvh8mAi9yLXyzV8ZGuLpDYEO4bQHo3eTO3ytUJro7IycVzqyDFQ9aoxEHFskFcOpy8A93ct7dxIvR50nIvUveI8/r/E48IALGz4XMmJJuwqHyOfrzRTj1u+PHHP1ZxGzfZyC8owhyVw8RGfsWyDaDZ0vUrHS7gBZj5DOSnybPcecq6TuUmyyCuNkw2Oa4qjOp0Xg2bsth/oTaNFl1q72nK2oTNLxJqv02vye/KWuekZsqZ+SmihhXKK4xqlX0zJ07l4kTJzJunHy5Xn75ZdavX8+SJUu49957y2y/ZMkSMjIyWLRoEa6ucmELD3fyI3wJjEbn5cJ/d1+Vuc+rHV3qabTFU61mTp0L5q73Ye7xCGbPKqym8A1H13E6Wuxeh6vNne6SFE/CQajRFrxC0AxekOsgHWYhN0WE28HF8u+oTTLZevzXEkVz8xVjp4uH+FZW/Mv62MRjsOsLLgz+goym96HDzNGwBry+5ASJWVLZsmt6IOUUwUtZsHcN8QsNek0Mq7aDS5NPwqGfME9ZjrbiQYkC6A2YW41HazUWw8Lx9o3k8tIwH1kGBVlo++eDT03M3R+Eej0xuXpCOZ9TXV4y2q+PlU2/FOXCiocxT1qI0Vu+cw4/73o3a68Vm/VadjxaXpp4jTyDwLcWJp86lduN+QqjyzwP2z5GO7JU/CcF2WLktRiMHWAuzAaPALS8VGlUaUFvkLRqUS64eMHda8WLFb1dUo2d75UePnOHiDC+dX5JKtEsIqXxILnhOPRjmR47puDmnPVsQ4OgHGqdWuC4HDxynVR/DXwVfijp9dXhzrLb2b4WnSumG+A370b8fb8acHTeK+M9qDbRU1hYyJEjR5g5c+bFZTqdjh49erBvn+Py13Xr1tGuXTteeeUV1q5dS2BgIMOHD+eee+6xzrCpIIcOOal8+gdUxT6vRprU8MZn0Uj7Hh6mYrRtH2P0COZM2BCysp2MHagEOtTvjblBX7QzG+yWm5sOQwtrCR91kAUGL8z3rofjq6BBf5lYbYtfuBhwa7aXQZQgKYNRn0BBjpRYL5sp86gAJi+zNwUDuS1uY1ejh3l2cQLnS6IwHer689b4Nry68hhnkrPRe/hKKqN0ea4F39riPZowT0YDOJrUnp1A0e5v2N1tDj5aHrV83Qg69p0YWh2UDWuRa6UhYG4K5KagLb8fc4dpaL0eZ9/ZZIeH4enpSTNdlOMyZBCBW5DFobPyOa/o5719/SC03/6NZisGvEPR3fY954tDSExJueQ+2jSpg0t+OhgLwMWdHEMwJ05VX2uGhhHh+B3+AW1XyciR3BSo20NK/kd+JN2wHUVCWk9Ei9osxnpbjIUiemduhsiNcGQxTPxW5rsVZotRf+UjEnGc+jP8/ICIXwt/vSZjLKavkX0f+wX0rmS0uIPo2sN5b3Mmrw8IxnvZj85f1MnfpIu2pdTdI7BkhERG2W1rd4DE42SYvDgb76SfUzm4uroSEREBQGxsLLm5TgzhVxE3yu/71UZln/dqEz1paWkYjcYyaaygoCDOnHH8YxYTE8P27dsZMWIEn3/+OdHR0bz88ssUFxfz0EMPXdbzt27d+rKFkjOMRiOHDh2q1H1ezejO/uW4aRngsu0DGs2cgLlR5ef6tax4tMJMiWoMfRdzXgbsnCM+mLa3ofnWhi9usj7ArKG5+mJuNgwNnRidd38lKbBbXgOTSSpl4vZBq7ESZfGpKSW7Y+bIIEVLBKX9ZElz2bbC9wrmZMtHmDb/rF1gZG90Oo/9sJ/Pp3TCw8VMojGf7MlbCTnwPzwOL7AOeASpgDm7QUp3b5nl1LcDYDi6lJzg27l9WSz/7l+DmTHbnQsUzyApY7Y9f3u/wdT1PgLrNsXdVUeoj4OOvydOll1mi8lI69atK/55L8pFW/+GveAByE5EWzCB8Bl/UqtOu3J3ocuMgb9eQzv4g6TovEPx6vN/dGg8CJNvFTQ3BHTpUSX/p2HyL9vFWZd2Fs3i2wlqDOO+lOq+PfMk1Tv1Z+nN9LO1hNwc0VvKrC0G9dKYzbD3G+g8E5oPgfws2PoxHF9h3abP/8G++faCx/LYXx+H+zZDQAMY/zWZHuE8szqOQcF+9G5sIC49jwZODdSA2YSpKNfapj/hEIz8uKRU3CbV5hUC/Z9FW/sqARPm4deunfN9OkDLiEEzeEJBEphNNAsPhCIPTH5V817+U2603/erBUfn3bLsn1DtRubLwWw2ExQUxKuvvoper6dVq1YkJCTw1VdfXbbo0ev1lf4Brop9XpUkOBkICJCXhs6YX/lpi+RTYrQ885f8290fc58nMQ96Dc3dH+2Xh+HgIuv2PR6DDnfA5nfQTv0mvon2U+GBHSIUfnlYynUtHP4RU8uxGHs9iatfuPh7LILHL1w8DwX2d7wZbe/mrS3pDgtx0nKL2BeTxm+HL7AnOh2DXseE9tN4eOxYwpaNF+HTaJD0Svn6FnlQ7G4xXDtDp8dYEixacCCTMf3uJ/T8DMfbthrr0NCacWY3D+5MxtfDhUcHNKF+sCdhvh7WDUKaiog0OQgj+4Wjuftd/IxX6POedsFqti1NXhpawmH05ZlT06Lg53+Jx8lCdiLaqv+DQUXoO02rXB9Z2jkRwlvelzLs4Cbo+/1bSrFtS6iNBfL5cPWUVNPiyfbN9HZ+Bje/KBWWG2ZDpxlorSdK+ior3vnzp8eI8D39pwicTnfCyV+t70fjQfDtKOePP7oC2k+B+AN4FRfz1ND2PL/8EJtPpzC8ZTDtm47Fa8//HD60uN1kMo1u1lYECYeltcOt8+XGIOO8dPL2qyPfRXc/NBfD5f3mpUYBZjFn7/5ahHmDm6Dbfejz02UUx1XKDfP7fpVR2ee92mZvBQQEoNfrSSkV2k5JSSE42HHjuJCQECIiIuxOQIMGDUhKSqKwsNDhYxRVQHklqh4B4OotQwVP/SE9PBKPyY/53yX1DCy81Sp4APLT0X5/Du3YLzJP6MhS6zrvGtB+Enw9CHZ9IRevpBPw+7PSI6cwy17wlKA7spSCtDgyOj9q32G4/RRp4Z+TIj/4JeQGteFQbFaZ/VjYcy6N8EAxXRcaTSzYHc8rB7zJnLYBblsoJc/xB6wTyM9ugKaDne4vq/mtLDkunZKjU3MpDmuLuc2kshv2fAzQHA6MLNK5kZJTwPYzqdz2+Xa2n0mlqMhG4Lj5SWlwaTQdDHm7bA+kS2EsdD5hHexGczgkN9Ve8Niy6W0pt64sMmOl6urXx61T2pNPwk/T5SJtW8Gnd5PP+k3PyWNSz0oKteUYEY4Aa18WH87UX6DJLXBytTxHzQ7Oj6FmW6n4M3iK8I7dK+0OgpvIep1L2bYAtuQkSUQyoC56zwDi03PZfFp+Y1cfSyG+6VSpGCuFuX5f/kqvwYFMLxlTAZLuqtFK+oGdWC1ibdeXMsA09Yx0dHawr3Ixm+T8rnxMmqumRcGer+GrgZLaVSiqmGoTPQaDgZYtW7Jtm7WhmclkYtu2bbRv397hYzp06EB0dDQmk9UbERUVRUhICAaDocqPWVFCaHOZou2IO1dKRdLnfWHBeOkT87/usOU9uYv+O6SecXpx1Da9Dfmp8uMc0gxuWwR3r4MtHzieHRWzQ/Zn+bHWG6BuN6m6MXjjsf9rMj3qiM/HQlAj8fxs+wiGzL4YWXDNSyTMZj5WacJ83UnPte9o/OuhBJJzi2Vm05Gl9tO0c5LFG9J4UNmdBdQnruEk1p6UC1jzmj64nd+K5ldbuub2fkKaxt3xo4g6V3dpEmeL3pUMv+YkZFpTYq+tPEZcRr6kK9OiJS3WfoqIsrrdJMrVdKiUStfu6PS1OsXFrfxZZrUcDCK1JeGI83V5aRWrILJNJ9qSdUE+VymRkJMmUQeLR6c062dDto0Z3re2XPTr9ZT937ZA5l+BtAS4db4I5BOroShHRH/KKRFC3e4rOzgTpKVA7Y7SRbvFaOm6HN5Zysg7TYeJ8zEafDDX6er8tTYeJJ6eLwfA4R9ZfdiahjaazNy59AInhi0ho+d/pNdX7Y4w4iNybvkvD/0SxzO/J3Ju6Hzp+F6QJW0W+vwfXDgg0SfL97DdHVCvh/PjcEReNpiN0P9ZuOs3mLkBupY0+8zPgPWzZPyFQlGFVGt6a/r06Tz99NO0atWKNm3aMG/ePPLy8hg7diwATz31FGFhYTzxhNx5Tpo0ifnz5/P6668zefJkzp07x5w5c5gyZUp1vowbD79wETeLbhcfA0hKpNN98t/FU+wvNGaz9Hyp0UaGT14uTiq1ALlwFRfI3bDJLD+qRTnlVtBw8jeo0026v0b0knJjYyF0nYm+OJ+9cbmENRqIwdJxNzdZLnLJp2DTf6Xrc+RfBOee4cFevXhsaVkfjKZBv6ah3Pvt7jLrUos9aKDTQ632knYzeFsv3n+8IN6e5iMkSlaUCy3HkNdwMC8tjcNUkkq7p4MvQfs/FXOx3iAddc1G6QVjMor3pdHN1oGTQOrN/+WjnfaRqaTsAnJzMmFVSQSsx6MQ1hx8wuQ43P3APeDvN4LzqydjCX77d9l1gQ3Ef1IePmHO12m6ssLOQvp5yEuB/QtlynyDftIfJ6gRFORC+lmZYXXqd2tX6u4Pij/H0XiJgkxr5CztnFykmw6V9y+spUxat3BkmXjDRn0ioyX0brDiIWtaa9930pl7zTPWFgThnaDv09Z5Xud3SpWWq4cIjTVy/lIn/UbggJfRzxtWNgUZ2ly6cS8qif4VF+DuYi+uYtPzuGXuWXo17MMtTQYwsk1N/FyNZKdm4OfhSkJmAeN+iOeZPh/RpZ8JF2MeBt8QAlpNRH+mpEtzRC/5TPhdRuVsUR6knpRIq+X8egTAgJclBbj8PomEDXip4vtUKP4G1Sp6hg4dSmpqKh9++CFJSUk0b96cL7/88mJ6Kz4+Hp3O+qWtWbMmX331FbNmzWLkyJGEhYUxdepU7rnnnup6CTcuIU1h2ioJpxfnSQdY39rSvdfZnfXWDyGij/24g4pgCbc7wuAlF5XE49LGfuWjcrHRuzp/jN4gvW8KskUwhXeW7Q8vw1yYTZNOHSiOP4ph0iIxcR74Qe60/3wJYvdIGP7kKvANp3e9ZKZ0qc13O60DYA16Hc8Pb8HSvecpNpU1/Hh7uMpdfWhzme81/mu5GOSmSJO5VU9Cp7th5IcyQNo/HA/gzXEhZOYXUVBspLlnFmwrKU02FkL8fvsnyUmS7r/GIoz+9YhrOInPDxbxy9GylVL6nAuSOhz4mginuUOsZc/+9WQ8QUiL8ueV2ZJ6VkScppdqpmbD5d9bPrCKu4heMPy9S38WAhpYZ0KVpvEgaSdQmoxY6TBs2xvp6M9STj51hYilrwZZj8VYKAb3yHVw63fwmZOxGS7u4kn55WFJRWoaPLC97Iw2EIGz43/Q7zmZvG7r4zn6s4j/no9IZE3TSUTr54esKZ7CHKmQKtWXqaiogHnn/Zk+9Rf443m02D3g6oG59a1oPR+G+WOtG+//nuGTnuCLzfb7ANgcmUpN/3BGuXmCmwuh/kbeGdWI6d8fJTm7kCdXWSMur48OZ1TOT3hf2CHfk/WzRKD1erTMfp2SESMdqm0rwfLS5FzevhjCu4hxWqGoYqrdyDx58mQmT57scN13331XZln79u1ZvHhxVR+WoiL4hJW9E08tx6ORHgM4Kdsuj1rt5eLmwMtgbj9F0kIBEZJSMxbKBbz1RPHhlGCs15uEDo+SqQ/EEBhOHUMOrnu+lBSEfx25ULaZgOYZRP3kw7hlRomgGvkRmIopCmyCPvUcutid0q8n/gDE7iU45TT/N2Y+01pFcCSxAE9vPxqFePLt3hRWHixrWG0S5k2QMVkiU5veFYN0UBOYslxET366NBQ0+IBfOCnZBWQmZeOq11E3yNqU0ZRegLlOt7JVUZbzUr8vWrOhULc7KUVuDH9/Exl5ZcVo41BvAtMPy3mo0wXm3mLfoyf9nKQp791wadGTlQhJR2H1U9Yy/7rdYOg70PUB8bvkZ0jqzT2g/IGUFvzCYdJCWDDR/v0PaQa3vOF4H4XZjjsJZ12QGWY9H3WcFks7K1HFpkMkLWVLSDMZ+vnHCyJ4ACL6wrltjk3fIC0SBr0O++eXXRezQ9Y78JYBEokMqC9eNgtuvqS5hOGhzyPfpy7u477GbCzEhA6dm5dMTPetJTPeXDxAp6eBLp6ZfRowZ6N9RWxtfw8e6NcAX19pVKnLz6RjSD6/PtiNL7ac40hcFp3qBfBI9wD8ilMwRBrlPbX0+Ck9BiYvXb6HGiLkPALs15/83XHpO4jRu99/JLLp7u94G4Wikqh20aO4zqjTVWZNOaJGq783cduvrnhVFk2y8+mYGw+Cbg+gZcbJyIdej8oP85YP5CJ9cjWkRJLR/Sl+9xzOGz8n0KdBIS/0TcMlPVbK0H9+SKqmLj5XHdzHz4WgcNj7LRg8yDu5njPtniK83d1412yNLvkk2qRFYtTe+Tm+5ix81z5Iw/x0MVF3vpvpTVuw8ZQ3pxOtF9d6QZ58fnsbgt3zSSt2IXXIAoqNJryKigkviIfkE+AfAQZP8rzDORuXwSd/nWbPuXSCvA3c1zuCrhF+hAb4kqELwL/vU5KeKR1Z8wpBa1JSEeYZgEdeEbPGtuFfC/dhtIk8eRn0vDckhODf/iU+i83vOZ4JVVwAe76B/s+Du7fz9ykzViINtiIgejvMGyGeIIvn5XJwdYfQNnDPOqkmSj8HNdvJvK9AJ1Gic1uc90SK/BNufsH58x1fCc1H2YsejwBpYVBUIGNLLPR8FJKOOd+X2STvjSP/zp55MOxdma9lef80nUwabzcZQppItMczWKJEOj1Z4xdRqyielsdfgPUHJS3afgq6znfLOW88UFJ5vz9XIkA0fBoN4qmBrzGsYTO+3pNGer6JIa1C6VbXh3quGYCPeLk2zMZr/wKaeQTyUr9X0Hp2wjP1KLpl70rkLriJiKmEw9L1uaFNa4iUSPERHVkmr7nlaOhyn3VkhMkkEVJnJBwV31evx67q6i3F9YESPYrKpeHNztMR/f5jnWh+ObgapOLlnvVy0ctKkPSaq4fVv3JwMWRfkNlTty6Qu/Fh70FmLDtNHfm/xad5ZWBNJuj+wmPeW9DpLjE02woekDD8khkw9nNp628swtz/WZrlJaJPjZTwvn8dOPST+F36PSOpke4PiS8h4zw0GUSd9CgW9m5CnEcTYjKKqOVroHaQLwHuhUQWeDN79XHWHU/EZIZGod48P6wZbYnCLyserW53jsRncfsXOygsqVG/kJnPv344yMT2ofy7f00CPD0o9qyF/s5f0FY/JZUwmoa5wU0w6FU0d6sHx8fDle4NAln5r178uDuGc6m5dKnnz5D6LtRePU3OqW8tmc/ljAsHpWTfmejJjIeNbzmOeuSlSSl1j0esg2AvB3cvcG9ccdFUXrWYucT35fS5fEU8DHpN+uzUbicpWb8ISDxofX0N+osgK+/zHNpc0oQtx5QdD2GphLprDfw1S879qE8lLffzA+JLa3QLxonfkW80U4QbWvIxAn4cbxWmhdmw439osbsxj/1CUqO/PWv/Wk/9hj41kjZ9n+Zt1z8wevngfjoWGrwO/iWipDBLUnAAean4RK+DrDMyINdC/H5JwQ54CTrfbRWcKZFSQp9hU5258ws4thKm/SrVfjpd+eNy/OtKavpyKwMVir+BEj2KysWvnvgmVjwkKSCQu7iBr0JwU/tt087JXa7ZLBEOHY4jQalnJYpwZJn4d1qNAZ0r2sk/oTBdKmssJByRVvzTV8GOOST1fJHZ80/RrIYPI31O4rHqFdkuopd4LhyRfk4qV06sgU4z8IjbgbbyURFXIGbtHg+XTNNuJBev9lOgy0zY9bkYZNtOIqR2R0KMMbSt6Snphgt7iKozhqlf7ZSKqRJOJ2Yz7Zvd/HDvLbT2KyQ1z5WXfzl0UfDYsnhfIne39SQg8yQuNdpgTjwOrcZLhQ0aWsx2+GaoCL5mw2U+GxDg5UaAlxsvjGhJXkEhHns+h6yacGG/7DgvVfrQOBpRAOKtMZQT5SnMLv9uPnoLdLwTXCroC6ooxQUiNGP3yoW3bhepqHJGaHPQlVPp2WEaaC4y9sG1VPNGg7f4eorzYcCLksZrNNBxOkzTyXuy6gkxhJ9YLSLbFr2bfLb7PS0RnR8mXxSe2W3vIrb5DBZuSCUmy0S3BkEMaNwBv4Y3SxWVhYD6oGloxQXSldkRKafB4I1rcRau0ZtEcNVoA72flNdYukKuzQRY7GQExaZ34d71MvW8uFj8SbaCx0JWvNyI9HwUDB7SN2rLeyLMStPzUSV4FFcMJXoUlYurK9RsAxPniVHYWCgREb86UiUDcpFKPSMehLi9khLq/qBUw2ReEJ+QxeCaFiXhesuk6dodpNLFxQ0a9II5vcseQ3G+mI5vfpHCnAwik3L4aEQt/Le/ad3GIrackREjHgRTIdrP99tvazJKKmjsF5iNxZhnrEWn6aDTDLkAWiJCpmI48D2cXgczfoOTf7LXfJOd4LFgNsPbv53gnQltKSw2cijWif8B2Ho+nyYJn8Gg19DWPOX4QrLmabmwOWj856EVE9dgHIV6b3QzTxJ2fB5um/4rzfTOOuiJo2nQ5W6ZLO4MnatUGznrteJTS4RfZVJcADE7pfy/MFtEaPMRMsyz+QgZxWCLphMB4hEAw/4rkYyM89b1nWaIj2vpXRLJ6DhdWgr41pD1niFiQN7xmTQljCnpozPyIyn93vudzKwK7yIDaPd9J0bwhCMw9guJxh38QYRTx+kiHL68SVLCHaddFDx5zcazJngaT35jFaBrjyXyqacrC+/+kmY1PhRPTdMh0k8o47x85m5+Af54Uc5Fy7FSnai5QJ3O8llse7u8xvxM6WTe9jYRG7ZmcJ1eGhKWHnZqoSBLUmdBjSDrvP0E+NIcXynPEVgf3IMlArv0Hqu3R6eHrvdDRDkiVaGoZJToUVQN5VVcxR+0ltWCRHF++4+Ujvd6TKZ6t5skP5bnd1t/WCN6S1pq5WNiKu3+oHPhcnYjuPmgT4wk2NtAHT9X+zttS7lzcVkBAkjJcZPB4r1w9Bx1umD2qQm7vkK3+ilw86Go0z2YWo7DbcPbkHxcjMluPjDkTSmd7vMkGzc5nnsFsC86ndxCI656DU1z/tLc9SWNB9PPORY8IGkV22Z6JSRk5HM+PZ8310SxKyoVH3cXbus0nClj76ZO5gEY+Aqse8160TN4wfD37fsJOSIwQlJ8y8oOCgbkou5WiZ2TQS72i26Xi7xnkPhujq2Ar26BO5fLLKydn4sQqd1JGgkmnZD0ZWB9MVjnZ0l5eJuJcjH/or/s+8x68TGN/1r8K+5+Urbf7QFZr2kifIpyJe1TuyN0f0AM2v714LdnxCd1Zr1EHk+sEgHQ798y0+qH22HEB+JPajRI5sOVkNj+IZ6eF0tp0nKLePGX43w8dBIhRXGw6A6rIXvbx2L6nvgd5CSIHy0/UyrEEg7Jdyo3RXrrtBglJnCL1yioobzPhTniySmv8hGk+hFE6DprGQCSftaVNJL1DQFDd+mhlRULhbkiLA3eFTO0KxSVhBI9iitLSqQIHEccXynm4vBOELNHflwPLCoZnJkKPR+WH3pjIQyeJRccC5oGjQbIpGi9m9xNurgTevAz7uv2CrGZxbQLqG8dpnhkmTSRKz34ETDX64WWclpE1r6yFYS4+0Pfp9G+n2CdxVWQieu6lyg+uYbcMV/jGbtZLgqaTu6qz22F5iOo5RdQdn8lBHkbyC0oxtvdhV6Ngtl0qqxAMrho9GjgD2ddL31xcjDSIjotl9s+337R0JyZV8znm86y42wqH93agbp5aXD/Fkk96lzkQuoeULFy9brdZDK37dgJnV6iK941Lv34yyXxmLWia8ib0gvIMgri837QdhKM/kQEW3EB/DhVRKK7n3TcXnibeHf6PiMVavGlBh2bTbDiX+Ilc/eTCr+iXGnM5+IB7e8Q/wpIai92j0QgR38GNz0vHi/biefnd4mAGjxbIonrXhWfW/Q28RIB+NflYDJ2hnNbdpxNJdu1KSELB5etQAtqLK/BMn5kxh/y2bP4dUCiSQd/kD5BriV9drxCYOyX1v5aRbky2T3HgUAPiJBzASJWOk4T47gjOk4Tv44Fd1/5K2/siEJRxSjRo7iyFOZYhYcj0qIkPaDTSYnxTc/B2U3g5k2+XwOSbltLptGAh4cHQa6F+Ln7yY//qE+lsmTV/4ng8akJgK7DHYz2M/DdMRN9uv8fPqtK7tSPLIXhH0DXmXJXXJQHOj1FTUaS3fdFAsiBgjTMtdqhRW2yP8Z2t8P2/9kPHy3B5fx28pJOUpibgeGPZ+3TBLu+YFSv9/nfhkiHUZw7u0eABuk5hTw7rDmTPt9OWklHZ4Nex0M3NaJHwyB2JuVwsttcmvkYqFG3Ny7Rm8ruLKC+9eJUwvm0XGatOubwgnrgfAZRaYXUDWsj584y9uByCKgnPpEu98r8KBd36YHk5iuplsrGMvQ2IELec9vZVwAHFspf02FiSh88W7YxFkozx7MbJKrV5BaperplNngGiCDa8ZnsoyCrpDzbLM0EI9dKCM63Fubbf0I7t9XeE1NcAGGtxL9iK3gsRK4T0/cdSyA/A3NwE7Sf7oLJP0lkSedCXlH5bR1MxiKJ2pSm010SdQJJNYK94LFQkCXenGElRmUPfwjvKsNKj62ApFMSNVt0u/1AW4OXLLf139TpIjcbtj4jEPN3ed4qhaKaUKJHUXFSIiWlkh4j1VPeNSStYUtxMaRHgamoxOcRYn/x1bviNHfj4i7poMVTJOUFckEb9i6peUY+357B3J2JFBTLRaF3o0BmT95M7ZPz4eQaid5YyIqXxmcDXyXYry53aX9hCp+Ase+/0W9+Vy58Kx+BDtMoumsdiRk5ZJkM/BpZzKg8MwEeJkAvd/UmkxiULamk8M7Wi6IDDCdWkN7nFULX/J/9Cp0LNbOO8Na4Njyz9JCd+OjfNIR+TUN4c80JXh7ZkohgL5Y/0I0/D8eyPjKTB/s34vNNZ/jvH9buzz5uLnw95XPab5iBS8xW+/M48qMyjf8KikzsjU53etzrTyTSZ0RLp+srREDJnX2NVv9sPxXBMsKiZluJpDnDt5YI44X/sq8uaz9ZfDBFueJB2/WVCKl6PeGBbbD2dTi7nmLPEFwWjLcX65lxaN8MwXTnSnRZcZhP/iZm5BajQOeCZtMJuwwHvpfnPLMeej2O6d6N6AoyJbW79SPa13ButG4Y4o2P2cG8N00DzNboT812sn9nnN1gL8i9g+TPMlevIAtmbrTOzqvZVozxPqW6MAdEwNC3Zdbege/le932NulrFFhOiluhqCaU6FFUjPiDMnjQtrNsjdYw8Vtr+WpqlPyYbnxL/BYeAVLR1G6StbTXzUemKkeute6nXk+ZwWMsKPGQvCeRmAOLJPKz/AFyx6/ks632d/JtavvgoyvA3GIU2mdO5gBtfAvu+Qu//Z/D9reg890U3buZ9NRkCnDhVLY7r32fSGRSDt5uLvx0e10abnny4vFpmg5zq3Fot86X6hpjkaSsXD2dzn0qdvXBbDaJQTVmh3VFk8H4LrmVvreuZNXDvdgdlUZmfhFd6weRW1jM+M+2kltoIi23kAi8qBfsy7ROBUxoX4tPtsSx7ph95CCroJgp8w7w+78WUHf7y5B2RszLHe6Uqq3Iv+TPOwQaDUCvhePuqiPfSSQhwOsy59eZzZCTKs/lVk5lV1XhU1N8O0W54OtkJIKrBzQeYD8mwsK++dK9+8JhmXdlIWqTiNqpP5PQ8yUM8acJcBSdzM9A9+Od5N6xguJenfnhYDr//fQUh/7VGFOzMeR5hOKRHonh1Er7iAnIuSvIQlv7MpqxUL4r7e6AiN6E5MczqUMYC/fam8J1Grw4vCmhxignJ0Sz/m9e6qV7YjlIf17EzUeES79nJOVV3r4CG8hfg36AqXyfzz8h9ayI0sSjUhgR2AB864Kau6i4DKpt4KjiGiLljIS6bQUPSDXKr0/KkMDcNDi6XKIrloqYvDTptrrudUgtqUTxCxePR0n6iaZDRRQtvx+W3A0LJ8lzeYVC/xLvT3YCQfnnCPWW6q/hzf05/nhTnvT5A98fxqCV7rVjS0GWpAI6TpMLzc4vcJ0/kmRdEIMXpTN9yXkik6Svy7P9Q2my+TE0W0FmNqEd+hHz4aXk3L2VMxP+4KxXG4rbOe4iDpDXdDSGhP3icbHQerwYqfMzyMvJ5pb3N7HqUDwHz2cwbe5OJn+1k9xCESMbbbw8eu8Qkgr1LNgR7fC58otMbD+XDYPfFF/GTS+IF2rxndL2f+sHUv32vx6EFJ1nbHvnptGhTf2kN03WJaZdF+TQoa43uo1vwooHYeM7ciG60sMi/cIl3eJf3/GQVoDGt2A+usLxOhBPTrqDkuv8dMxr/sOxdB2ucTudPz71DPl5uWgx21l1KI6H+jXiVFEwLxbdybTT/XhJu4+TE/4iv8kom2MaZO+D2f4/8AyE//WAojz8I3/hkd41eGtcK5qEeRPg6Uq/JiEsva8b7eIWS9PN5iPtj8PSf8hSiRW/H+p1d37cDW+WtJbl5RY6GR0DFW8o6mKoOsGTEikR4LmDpdv29xOke3jS4ap5PsV1i4r0KC5NdoLjXhwAZ9ZBQbo0U9v0juNtDi2G3o9Z/x3aVBqXRe+Q9Ni84fZpB1OxzOka+ZF4U9LO4p58lE/GDGHhvmRe6ZSP+7Gl8NfrcoG3mECd4eIm4f6I3nIXn3WBJn/NZNXkj1l6RmPL2Uxq+bkxtokruvXbHO5CO/wTLt0f46bvknDRJXPk8QdwifzTOnC1hKxuT2L2qUXAuiekgV3LseInyYiREn1Ahxm9TmNLpANfBuDtZv+1NJvNZBc4vyhFp+aBwV3+8tKkkid+v/hD+jxPYsQIOe1nfmNm36nsPpfGyQT7KNUbg8MJ2/46HP1eoh/1ejqtqtElHkKbP9Za+XZiFWz/WCaz63Qy46o0hXlStZOTLFEPn5py0fW+RFXYpQioCwNeEP9M/+ekV43eIFEAYyHGGm3Rn3PgebKQnSA+Hgdo0Vuo07sQLaihfHb0ruL3sW286e5HXJaRUNdAPh0Tzv4UF4Z9tPniYNh9MfDD/mS+Gv80vbPPo/etKYLedh/56ZIKNhbCny9Cl3upMaclE5sNo+fYVyh2D8A7/wJBS/tBRrSYw0d9KtHTvd/K4/3C5Ts07B1YNlMikifWiL+qtFnf3Q8GvExsoTfJMeks3hVDck4h/ZuG0LVBEPWDK7nK7p+SUVLdeaHUbK6cZDGjT1ulzNGKCqNEj+LS5DgwZFowm0tKXZGoijNSzoh51EJQQxlQ+tfrzmcX7fpK/AHrZ6H51aJh5i6e7N4G7+xo2P6pbGMslD/vUMfG0TpdZPnhJWJY7ToT4vajd/elLvH8q6GBuzo3x/3QQgxZTcs+3oLJiK5A+osUm8w8uiaZ9yYtoyhmF16nfqbIEEBWi9sx+9fFd8vrFLe+jbxaXfEJrC8l0jYXucColdzSfCyrjpQ9Xk2D3o2kUiomNZczyTnkFhQTHuDB+bSyxmmADnX94PR6CKovXqoD30PNtkSNXs63O+NZueAsZmBY6z5MM5n4ZnpnjsZlsf54PKFuRoY2cqPG0a/wPvSN7HDZTJi5ybHoSTmDtmxm2VJ/Y5FUK01fYy96ioulU3bKSYnkWQy4egP0fhza3lEyaiFORjpkxEKtdmLEragnxM1H/trcKp6anCTMsbsxuflTULcvmMAzcp3jx4Z3ts4Jc4C/m4Z7zRaQ3AKKC8UHlJ0o4qS4gOx2M1h2qoi7G0MBBv697AClfeJGk5knfo1j5fSvqBm/VszCne+WppYgkRRLaXfKafEgARz/ldoeAfJ8dbtBnydg91wRPvu/l6aGjQZIu4T8LHIyUvF0c8dwz3rpAH12o/iEmtwi0aScZKkea3cHia61+HlfHG+tsb72345cIDzAg3l3daFhSDWkK51RkAmnfnO8LjtB/H9K9CgqiBI9iktTXqt9Vw8p4XbW78aCJZSemyZemPRoufC1niDVL7YpJQsZ0SJmAhtAcQGBF7ZQWJRCeoNBpIxcRr5Rw0/LJSxqJa4jPoClM+2HUvqFy8DH1DMyDyhmB2z5UC7KrjK8U28swhcjrH9ZSnydoWmY3XwBuWivPnyBW5sb6OrhSUr/dzDrXHCJ3Ungd3dSGNqGddn1eHnOYT6e2JLWQU1xOb/94q68jizk6elPs/98ZplGhS8Ob4G3m57zqTks2BHNZxvO0LKWL/f2acALP5fqnIvM82rhlQXZGeJ38AyAwhyiRi3jjrn7iU23CqVvtp7j9yMJfH9PNwbUzGfA6S8hMRL27LAXnmaT+KlqOOjwm5/mPOqXkwy5yUDJuIi0c2Iwr9dTPDW2xlljoXTSrt0ZDLEyWNN2IGXtDjDua3vhk3FeXmP0NvHA1OkiZvqLkT6ziOijy9EAPeCp02O8+y/Y/kHZvkU6F+j9hEQaHTF4Nr5H5qPf8ZF12Z65UL8PjPyIwgNLOVp7AqEproSdmsu+1s+Snuu4b1JKTiEpWfnU/PUJUba3L5bxJWazNAzMSxMv1rnN9g9MjxHv3NpX5HvQ5lb5TqSegcVTSe/7Bkf8GvPJxgIuZATQsY4PM/vWo+4tb2EoygA3P/lM1Oog31GPIHB1IzU+007wWDiflsf7f57kheHNCfGp5GaSf5ei3PIbiTpriKlQOECJHsWl8QiE+n2t06Vt6Xq/dQho7Y6ORxF4BUtH3ti90qitMAfq95bH7fhM+pq4+cLRZfaPC20hqZCh78rjWoyiwL8pb2zMYPEe8Y94uOp5oPt4puTG4D/6U8iMkwuvf4R4DH6cJsJKZxAfQ+d7pOMsZtj2KRxcKL4Qg7csq9FG5kyVpskQcHVnzuhwVkQWEeiuJyS0FnqDOyEZhzHvm48JjfgBH7E7J4THV5ynyGhm0tx9/Hb3Z9Rb1F8qYMJaQavx1PPRs+CebuyKSmXDiSRCfdwY1zEcf09XagV4cuJCJp9tkGaKR+IyScjMZ+60zgDkFRlxc9GRkJFLn+BsavwwRMqq63aH0Z9RfNOL/Hos1U7wWIjLyGflwTju7+CB/tAS+15HtmTESNWarpTtz1iO9wOsFW7ZSSIQCnPk2Bx1+NV0EuH4vtQEdZDPyp55xHV8nKxC8HIxEXx0Ce4bXrU+h94VRs+RaIeHnwiso8vt92Myol8+k+KpK9BWP4PeUuUW2hyGvCWfzdYTYPfX9o/zDMJcozWua54pe9xnN2JsNoo/mr3Mf3+/wNd3tEL3/W+Y2zxf7qkxWQaLms2QfFJStzc9Lz6Yvd+CqRC6PSjdjgPqi+g3GaXf0K4vROisn1Vy7jRy+73MJtfuvP3zCaJT5X08k5zD8oMJfHtXV7o3jIA8m1J+7xoXR2v8ecy5UFhz+AKPDWhCiE/JgqIi6b5sLJRzX5QnKbLKSE9WBDdf+X46KRwg6G8MslXcsCjRo7g0/nVgxIfyg3tkifzwGbylA22NtvD1IClhH/e1GAwzbQytBm+ZxbXrS9huM3Rx7zyZf9X/P9IYbvqqsqKn79NSsaFpMtxxzTP4uHrwdKvpjJnUk+k/RZNXZOTdjfH4DKzHlOjn0RekyZyvZTPlDjCgPrQeJxU6u7+WCE/7KRLtaTUWGvaVzrUdpkqkYuznYqqOs2lU16Af3PwChpST3LLjGQbWbI8uoh+cXQ/HfyZ92Od84fMk51Jy2bYijZQcazfd/CITa84WMXPGH3JeTq6G/fOh5RjqBzehfqc6jG1XGxcXe3Gx/Yx1mrxBr6NVbT8W745hzZELF296b2oaTP+eLlbhEr0NTq8ludlkflt8EmesPnyBO2rrCajVznmpd72eZQUPyBRsNx/HqUwXd2t/mLw0SbEMfLVs8zqdC4z9SoZ55mfCqI9FAJ1YLY3zTMVkdn6E7f7jee3LPUSn5uLmomNiux48MGElNZeOkwugsQiW3g33bxWh66yNQOIxig7/woY2/yWiWwE+bjpCAwNwDawjoqzX4/Ieb/lAUknhnWUkxzons6wA/a451BvUl6/v7ES9zD3Q7z8EehnwdnNx6L/y9XAhyGTj4fIMlu7Ja1+CUzYRxtNrxX82ZWnJuXIFNOkMvfppiXY1HgRdZ+J24QiDzr1L1749iPVswYMrE4nLyKfIaOa55YdZNK0lITvflvlYmib+ss4zILABuYXOh64WGc2YLB+yrEQxqWtIbx/LmBK9QYoDuj8k/ZmqEq8QeZ4Ns8uuq9cLPP2r9vkV1xVK9CgqRmCEVAj1flzu9AxeYPCBT7vK+qQTMh5i0g9yRxq3Vxrc1e0uKQlbwWMharNcbIIaicho2F9KrL1CpIX/oZ8kLbXkLgnTN7oZNI2gQ1/SyX0ZHw6fzb3LpFLsw61J3DLqUWq6G+GPF+TC7OoJkxZJ1UeyjQg4slQaDLYcC78/L9GXHiU9XH64Q4Z1unlDXrqMN8hOhG+GSTO39HPoMmOh7//B532hwxTyCgr5Zut5cpxcSPbGZGHyOoDuVxsz964vJfI0+lNcHBh/vQzWcuI7utVlxf44Vh++YLfNuhPJPFnkz8c9niVgfUml29oX0d0/ATcXB4KlBDcXPbq4XTJSIXpb2dSBV7B4PxzhFYJ5wEtolq6/tvR9ClxLvCC5yRIZSDwi0bNjNhVUd/0Bxbmw8W0ZSmkslKhNq/Eyo2rbR2wNnsB9S6yzpwqKTXy3O5EjCT58ftO7BK+ZKSvMJunk3WpcSRNBx3iknWBNSh5nUnL5aFJ7XEmU2VwHFpWkWceL0NF0kkbSuaDlpzndHwWZRPi58P2RC9ybPB8OLSb0gd68MrIFj/9YNlL4xi21CNv1b/mHzkX8UnF77QWPhfj9IgCzE6XhZsvRUL+fjAPxriG9sr6fiN5kRA+E7v+GUN9abJi+lLMZJn44kse3exLJSIwlxFYIbvtYXvOU5fRrGsqn6yMdvrQOdQNwdyn5/OUkQOpp8RIl2FRKGQvFIK13k4aUVSk8PPzl+6p3ha0fSZpS7wotx0H/Z8ofeaNQlEKJHkXFSIsSQbLhTSldd/WUsPu96+HbkeLROb9TBoDWag8NB8gE6pxk8S444+AP0H4K5sRjaANfg85Rkpo6vlKquA4vlXlQxYXyg202Qoc7cfUOpa0xkVAfNxKzCkjNKSQvqCNEL4WbnpXIjlewRCSCG9uLHhAjaNtJcsE785d0EL5jiZTGfltSDlx6Npemk6qjUZ9gzk2R/irJp3HTQ0SwF0fiSqVoSmhTyxvd4R/LrohcKxe9DlMASM7KJy23iH3R6bi6aMyd1pnl+2Pp2SiYe791XJa/5Uw6KX37cLH+qCALY24Gk7rUZVeU44v29Lae+O39FlLaShXQ+tnW6ep1u8tMKgfG0OjUXHIKNPS1x+F/7yBCtr6MdvpPEQm9n5CGhP4l5mfLcNG938J9W6VDcWEOdLob8lLk/B9Zat25sUi6JxflktD/v7y2xLGA2RuTxfk+LQm2TXdkxMrnsXYneS8dUNBgAPfVaYSnqwt1tUT4abp9NO/IUhlS2rA/YJKUbrNhZTsNl2Cu34/fz+RzNrlIRi24++GpK6ZXgwCW39+VT/+K5FRyHk1C3Hmwsy8Nj8+xds6++QVIOObcnGs5b60nyPOf/lMiqZMWSbpqyYyy5v/MOFx//zdNarbhKVMiQyY9jGZ2YHxPPwfHfyG8xT30blx21ImrXuO5Yc0JD/SU9PPOL+Vmw1bw2LL7K4mSVnW0JaCe9PxqMUo+R64e4uu6Euk1xXWFEj2KS1OYJ+Wva562LivKlR+8giy463c4uEh6nmTGysUkJwna3io/zqX9GrbkZ4KrB1qtDtKGf9cXIkRajJJIRPIp2PuNfRrm7Eao0ZrQW96gU4QXqw5dwMugp6YuQ8TLb/+2bqtzkflKrh4SObLlwEKpoln7skSv0qMk7WUZb2AreNx8MQc3wTztV3Q+4ZBYUj57dgOBQw080SOAu34q+zrdXHQMa+YHmx2XwrP9U2gymAtGb77ZGsWcjWcuBl50Gjx8c2P8PVzLVATZkpIPjXQuIhJDW7DldDKdWzahV6MgNp+2L4vv09CPrh7npUoo5bRE6Ho9JhGtgHpyIbGdlwRk5xcTmZTNf5YduijsIoI8mTVmFu36v4K7rgittNnd3U8ieCmnJc115xpwNYDeRVKWpVOZFo6tIKfHm5xPc97zZ9+FAtoFRFgvxPX7yPt20/PiOzOXar7oHYZbw940C/SVarLty+wFz8Xn/kXMxH++LN60W+fLuUgv1SPJ4IW556O89Fk0Lw5rBiePYJz0A0lGL8KM5wnVMnl3VCPyC4vxNGXidfJnMGfLZPW2t8loCJ2r82GxIJEUnTXaR9IJOLxcumw7Kxo4ux46z8Bty2TaFudR1OEux9sd/ZlaTYfx9uim/HI0hG+3RZGeU0SXBoE8NqAJNf1Kmv0VZMn32ZlxHeR3wJnXprJx95G/KiA/v4j47AJSsgspKDZRw9cdb3c9Yb5XiZlbUWko0aO4NJnnYeOb9svc/WHoW/LDuPqpkrk8n4l4WHgbdHuQKGoSk51Lh8b/z95bh0d1qN3b97hkMnH3hIQkEAjB3V0KxSlWCpRCS91OvT1195ZSKO7FvRQKxS24xt094zPfH5vIMBPavm/Pd875vVnXlatlto7utZ9nPWuNwsVZGR+EC1bhdaGd0qIf3NgpaF8qsoXKirHaue4k/xLkJhPsMRCA5wZGocw5IugXGsNqFkjQ5HWCpb7VLBCgmCHC5JDasyEW4+T3AkHaPE9Yrw4iEbZRX0LhNWFsPbQrVrUP4qh+iFJ+hd/ep12P13h5QBAfHsqrj8nw1sj5ZnIbAi99bd9CEksbohEMVYCNK7kNwuX6U7fBZ7/comukF64KKVVNePV4KET151vU/XW+2lfOWwHVvHVfa1KLa9h0LhubDSZ3CCSu8ig+dfljIBCHHU8I/z9rHwSEOuw/v1LHlB9O2LXv0ktqmbrkDFvmd8dmsxCnsSCTNbpIe0UKGq+Vo4UJLKlEaDsmThGWNzWNY7MhE9uQSUSYLM7X8XGRNBBp9zChsghCdWbcEqEaWXhNeF+j+gniYOsdIlSRITgxN4WzS4W2bM5ZIcftgQ2CG7lCI5xzVT74xmG8tot3Bg2idZgHloi3sSHG9+IKKixixBYj2vAyXPe/JpDqgMQ7U4hRgsYt46hAepKmOR8OAOHzmX7XJNetPaCZLlQgvVoIxKhxBdNmq68AyW5sRdZhmvN9S5WQfxH/Pc/z0NTNDI7vhNkqDAUEuDe6yMtdBBJcZyTqDBKZsN5/MSprDVzJq+KxNecprhYE9zKJiDk9I5ncKZRAN8W/+Qyb8XeimfQ0449hrG6Y0ALhYjLmO6FCUnit4fELa6D9LJi+g1vqNkxbdJL8Sj1bpiYJd+Zl6fb7lbsIpXGLSagiKVyF8V33UCi5JYyy3z2N0wiii+uIiOvBqFaeTAyvRbT5S+cr2mxCiyCil0A2YocLBOjqZghoBw9sFESruefh5j6Y+5ugVyi8KlwA205CdGZpQztGLEE87COsIz5HdHox+S2nklapZGyCD4NbB1FUY0Ymk+GplhFweRFiF3dhO4mMsh6vUxjQm2tFJjxUEqK8VSitLiw+csn5uQMrTmTwaP8WvLvrusOyxGAtXsWnwDOS4p5v8fVNN9JLSqjUWen7428Ma+3P/L4tABuRikrUh79yjEQA4XVx8XJ4WGe0sOlcjlO9ksVq45tDt5nZLYzsch0Rd3u7+MQL+h2ssHigoMWI7C20au4BL7mZEW0C2Xw+x2GZQiqmrYdZIMUthwutT88I4fN5ca1ghNnxIXALFT6nGceEVlbsSBj4FnpkKO9lr2DSCyJjgA5zBYJ6c49AxgFajoDI3igr0hjcMgeZyQZqD3KLS9lv7c/P13VolFIWR1lQDX5b+FzlXbB/ncf9BJvnCmTCN87+OwTC41H94OS39o9X5lIa0p/8sQc4ka3HRSamc6AU3wvfor6yWohmqBv7t9nA0EQFJmm6UFWtLkS8ZDChcw+Bj5MJKBdvwdyw5Kbzihdgaz2eYpuW0vxK3JRS/N3VTb+2/6EorDYyc+np+psVEMTc3xxKIcpHw+jEf0FYbjP+bWgmPc34Y0iV9iGhUf2FO9S7f6wBzi6htNNTvPDzJfIrhYvL3K35rB6/huCrP6C8ska4Q40ZAr2eE+5UD7zREF0x+D0hL6u2VJjsasq4EMBqZli0C8NM+1GWhNzbr6O6kJr+76LOPIRozeSGx9MOC226sYuxXViHqPvjsP8VISW6w0OCMeOq8fYtBasF0Y4nEc/9jTNRj5JdauTJdacBUErFuCqlFFUbifV3ZdmkB/ArPwduoRT2/4RXzrqwd2/DxcNFLmHdw34UVDZ9Ic4t1/Hc4JYcvF5oN9XVJtiNLycm4GXzoSZuMI//nFXv8qyQCULmXZfzSS+pZXKnUEo8VUSN3oT36Y9Qnvuhob2idBdaOV6OOp4KnZHke4SUXsqpQKOUUVhlcCQ9MpkwzfXb+w0eOeeWC9NaQUnCWPrdCGyHWmzliQHRXM+v5Fpew5SYQipm8fR2+HnUwoKTQktO7SXovQyVQnunNBX2viSIp/v+Q6gstZkIWacw6CrZeFXHmBYjcDnbxKRX9ABBtCtVQquR8ONAe/fka1sh4wjM2ots+1MQ1pXchEd4+fc8UotqSC+pZUYnPxRSKxxdZE94QKhibnoIJq6CX9+CAW8KVaXLGwQ7gFZjhKnGHU86VMOKRi3n1b057L7c8DkXi+DtIfMYIXfBNaRNg+Eh2Af91iGyt6Bxq6swGasFMbt3E2Pf2gDhuznyc9j5tPD63oEtejDWXs8z4KsLVOgsPNavBZM6hhDk8d9FfPZdKbAjPI3xzaHbdAh37tjdjP9ONJOeZvwxFK7QYlCD8DJ2BBx6p8nVy3UmkrPK6/9dWGVg6LJ0ZneZyVPTHkBWmSn80C4b6aj3kamEUfKqAuEHvOUwx5HnOrS6H7f9TwltgO6PYwtqj6hupPYulAT2ptYoxWX/y44LjdWC6/P45cIdfcYxSPlVqAjteaFpDcX5lfh1eYMnNzaIPPVmK/o7JfLr+VWkVMvwU/tgnria1Rds7L1hr4+oMVpYdiyNpDB3UotrnB6mXagHBZV63r+/DbUmM0VVRrxc5LiqpIR4ugBuuABDWpvqSU9yVjldo7yI8XOlpZ+Gbw6lkF2mQyEVMy5pMo/OfZyA6yuEKklAW3ALd3pstVyCv5tjnpJCKmZMghcPJmqIlBZicpUDjpUiaosFMlKHouuQdgRGfA4/zxH+XQeflsL0lmc4YcB3U9uTVVrLmYwy/N2UdAzzxMtFjtyl0bRbWbrQ0qzMaajQ9H5OiAD55XXBkFLhColTkUfDT6cL6D5qBhHXNjS4Qzc+vsZfIOJTNgkErTHhqX9OpZAs6MGsgYloylP5KPQElmg39EFdcatKQSwPaFIETUWW8BeQKFQ0Fa6CwNstCEJ7kFVWTfnYQ5itNjzkFoLKzyKTydlf6MHuy1ftdmW1wYu7s0ma/wwtL7zbQLKCOwhTTRNXC15UiAQ9kYs3LB9tfz5FTdsb4BYMYgWYawRibKzBpq8AbSDFZiVDvr1FhU64Mfny19t0i/L6ryM9NwuadpLPKKltGN9vxv8T+Euk5/r16/z666+4ubkxdOhQPD0965dVV1fz9ttv8+677/7tJ9mMfzPcgmHIu1CWJlwQJDJBu9MYIpHQ2ooZTIgpnSNT3UjTu/LGb0LOk8li4/tj2UyMCSZ844NOD2MN6wGIEV/ZArf2CQ+2mei8BeAeBrHDBM8bwFpwDVG/VwXPIAchqy9F3p1xL7zUtHg07wK1+lpK/AfiPa0LquosIYU67j6hMnV5o0PgqqgqD4PZ0mQ8BMDpjHK6BRZR4NOdJaecB1duu5DH+oe7si05D6PF/tzVcgm9Y3yYuOgEWpWMFbM60SvGx+l++sd4kNMrkiVH0/npaDpLZ3YkpaiaF35uaJ0ZzFZWncriSm4l30xdQOAftCO0KjnTu4bZtZrc1TLWTQwh9Mo3qDasA7MBWUBbwZPHq4V9fIVEIehCGuPAG4JAffwyoR1TmS18xlx87RyYw7xcCPNyoUe08+dLRbYw9n5+pXCM4Z8IZCKij32em6FKaBVlHmfntCUMWZ7F0jHb8b+6BOXNrSBVYEuYAAnjEe15EUun+RR6tENaWYlnRF8kaU4mwlIOCJEUp35AYgGFoRLFre1CmO4vrwp6pntdLGsK4cziBlLl4oOl60Iuu/bkiXVppN0hwB5qGS8Pb0NnFyPf/57e5O7Wnc3l1do775Ffa8G00TNc+AvtLHyfDr3n3HgzKKnp8wRw9QGE9yCvQscbh66w54rzc/npWDrxAVrc1P89yeetg9zYkuxcON/CV4NYJHK6rBn/nfjTKeu///4748aNY9euXSxevJihQ4dy4kSDtb5er2fLli3/inNsxn8CpAqYsBym/iy0Q6IH2y8f/R1ghTWTkK0aQ+D6YXT/dSyrhsoY3toHhVSM1QYrLuux9HFSbVG6oRvwLiJTbQPhASFRue9LglGhb5ygsen+hCCiPvAm9HqGouFLMA74J6IzP2KduLqhVC8SYYnoR8aoTbxwoByR1YkrcCPkltXSf3EKa2+LyfLuwflaT/6pH8ebxsmcHn2Y3Gm/26VI2yJ6IRWL7+mJE+SmpFruic4ipVLnXIhsMFu5lFPO6jmdifFraBG1DtLyxeR2fLzvBlYblNeamLfyHGnFzrUagaWnmO95mt2PdmLJ9HZ4qGV8dfC203WTsyvIKm2arDWGr6uCN+9rhVQs/Ph/NSKA6P0zUV1c3qAPyrsgpLqXpdlv7BYojBrfjQurBY8nfbngsRPS+c9nbdXBUCVMQoGwH1Ot4K5dliYEhN4FUV4y8oo03NUyBv6UwfHQuVgmroFRXyHS+CM68CaZw1fylfxBHlh2iQmHPPnW5xVyJ/0Cfq0EkfvkNcL3YNA/MYmVLJeOZXbuSJ6qncaZoduxuIUI/jr6CqFq2RRcA0BfgTmwA9njd/Nrn02slY4iv9LItC5hqO6IwstqTTy94SJVcm9Kqpv+/OZU27B0eQwe2EjV2FX2lgMu3gLZd0Z4XP2FSt+fhMFk5Xp+05WR4moj1YZ7tKT/A9G3pa9DyG8dHu8fTbD7vyg5vhn/FvzpSs9XX33FQw89xJNPPonNZmPx4sU88sgjfP755/Tq1etfeY7N+HejNBU2PCiYpnmEQ0hX6PCgIPC0GGH8cii9BVe2YGw9CbNMgzr3OORfwufncXw+fSd57b04nC8jOd+Iybc1kvE/CSGg1YWCQWFkXyRugZD8k/2xdWWwbqrgktvqfmg5FPa8CEc/A40ftzu9hUSuxmfDGCi5jTjnDPoRX5Ojk2OwijmQYWbxmnwq9SZqB8TZa5MawzOS21UyjBYrLcNC+OpILuvONLSilhxNZ1C8L69OP07wknbCNE70IKQ2Ec8NbslbOx31TQqpmHZhHhTigc1qI8Lbpf4O/m74aVWczShlfIcQOkd4kluuJ6Womle2XCavUT5XTrmuyXwnXP3RrhqHlseIAq7NzbhnFepcZjmdI520pO5CkIeaQfF+dIvyJrWomvbiC4iLHUXV2KxCEOfYJfYuvX6tIfGBBoJSh3ZTwfveouZ7ouS28F5q/ASdUOohofIjEgst2C6PwNYFgldUHW7tY1zSfHRGMz0CbEgu74TU30ChIWPYSmYtO0tKUcN79NHhGtZdVrFuxhYCfx7TMCYvlmBrM5XBnZ8nPlJJboWeF/bfZsNoF8Ez6fImofLpzJQzvCcUXsUc2IHkrl8wc30m1YYyQNC1tQ/z4IvJ7Zi/6mz9BNuxlFI6hLlz6Gax4/6AgWESJIfeAbEEy6ifoLpY8EMy1ggTY5F9YcDrcPijhhHzwHaCT5NX1J9+yT3UMjqEeZBe4jy+pHOEJ6fSi+nEv6jNpa8StHsiBG+munBWoEpvpKjKSKXehFIqQaOUEvwnziFIq2DFQ514Yl0yGXeel4tcwpMDY0gIcqKLasZ/Nf406bl16xYffPABACKRiDlz5uDv78/jjz/OJ598QkJCwr/sJJvxb0b+ZYHwgKChKEsXnHYnLBdIj9VCqc2VlCHbWH7ZQEW5lRFxU+jRS0fg7llIM38n5NxyJnlGMWH4Z8gqbELraMDrAgkxmyDtEBZUmKUaZM7OIfs0FN8WYi/SBZM3m38b/D3d0Szv3yCELr6F6fpeXs8eyJHbpXa7WH1Fx8JOT+B68lP7fYsllPb7EJ3Ri88neqEzWewITx32XS1kaCs/ggb+k+yWM0gt1nMmPZsgDxV7n+jJypOZrDgumPypZBIWTW/P1dxKXtpyCT9XJXN7RfJio1ZTHYI9VFisVtzVcjxdFGSX6Zi/yonI9w6cxRwAQkZReI/6UWeZRHTP0W8/7Z8fxfV3E6oWLXw12HZ82PSK2Wccc7Y8wwWdTYeH4PpO4T2PHd7gDXQ3SlIE3Yy+HLRBgubFPcRxvbqg0ZGfC+PljacDj30h6LNGfCaQ5jqovZgUZWJKoBJR6U1BL5Z7DtpM4tcbJXaEpw5ZpTp2XcxhlsKtoTTu1QJ53BD8M7bjl32GWvdo+k26jzKRGx6u/nBrLzWzDoPYBZcz3whEQyzFGD8WUZ/nkZ74mvxe7zJ9VYZDJMTZjDL2XslnWEIAW++0XX46msbXkxM5crsEy12mTX5aBV29dfDrCWpHfAdKDfzynGD8aTEK1cmkGdDjaYEM6sqEx5RufzlCokxnYn7fFvhplXx7OKXeCQBAq5RyX2IgQ784wtyeUTwxIBplYxuD/y1K0wSRefIKgcxF9hWqwNpQsgxy9l7J54tfb9VXVDtFePL26NZE+93b20eplNEu1INlD3aiUm/CaLbi4SLH20WBm1qGxfLfVblqxr3xp0mPXC6nstJedDpy5EjEYjFPPvkkzz//fBNbNuO/GhaL87Hx/Ivw+6fQ4wnK1OF8ecWXpY2IwuFbwsV87Zi1BN9eDdpAJK3uQ3J+qTAOXlsq6D+6PyEYr8WPIk2vxdW7Gw4/wx1nQ/sZwt2r1SQ4/KYfRuTXGk11egPhuQPXS8tYOPh+B9Lzw6liwgffx8SJHZEe/RSq8jD5J2Hr9SzZRl/2JecwuXMoS36/q0XTCMtPZNF+0iwe/OkMKUUNbSaFVMyi6R3o2cIbk8VKXICWtOJqHltzHo1Cyog2AcT5u/LhuDZ8sPcGRVUGRCLo0cKbOT0jeWbDBQqrDLwyIo62we4opGKnEyViEfhrmyi3e4TBqK8E8fWtvXhVXmd4m0C2NDX6Heze5PO8J+7lgqvQCpUWh3MLF/6C29973/mXYN00+zZZ3H0w6E1h+8ZwDRRyqHLOONohgECeiq7bTYqJWg5B8m0XwddI5QGD3wa1N0Uxk9h+ON9xH3ew6WoV9ycMwTPzqNCaGvQ2/DwHka4MEaABOPYBknFrqJm0Fc79xPP7S7DRn9kjR+Iq0mMUK1l/zcDGL2/zy5yFXCm2Umt0PnG4/UIuH09oW0963NQyfKzFrJsSzqsHSriaV4lYBANiPPlHdw1Bu6ZgC+6MLKIb6u1zBEfzOpj1cOp7of3X95WmJ7XugYySGn65VsCGM9mYLFYGt/Jn7+O9eG7jBc5nVdAl0pOXhsXx6f6bWK2w6kQGkzqGEO79N3n43EmVJ7/RTcPNPUJ1b84BTue488+7qq2n0kqZufQ0q2Z3/lPn8bedazP+o/GnSU9cXBwnT56kdevWdo8PHz4cm83GCy84SSNuxn82DNWCKFl6jzt+iUQoI4Nwx632FtyWjdWCziZ5NTltX2LpmVSHTbPLdHx/wcjLbQaj0AYJd/nXtjesUHIbtj0Kg9/BnH+V9Tnt6RsiJXDA28h+eUlYp+8/hBbI0mENIZdiqZD34xYskCCJ3L66UFNMbNZ63hs6ltd/yUVvEsiDViXF31WG+fZBxO2mcV3dETcvX17fncb+a0I6/PCEAKr0TSeJV+hMnMsstyM8IOhy5q04y47HenDwRgHRfq68tu0qGoWULye34/vDKXz6yy06hnmwenZnbhVWI5OIOJVWxqOrz1F555hfHLjNpnldmdoljB+dkK9x7YOb1B8Agi5m+Cegr8DDUMuTA6K5mV/F1byGGxaFVMyiae3x0Titqf0x4kbAb+86bxMmzRCy0/4nKL4thM9W3UU+rm0VtCd9XgT1HVF0RTbkXoB+r8LWR5re543dQihlzjlswz7CoKumnjLqymDbYzB5HWK9BZmkacGqVCxGVGdY2Wmu4L9z92SX1YzL1lnUzj5CeZfn2PPpCcxWGzuvlDjsb8/tWqz3cGQ2mK2IEOGpltPCz4V5PcIJODSXgPJMVnR7iaqwQUjMNbhn7MX10jGsg99D7BePzGKwJzyNcWGNkDGHX9OvlxOkl9SwcM15LmZX1D/2zaEUfj6Xw5o5nakxWsgr1/H4umRS71TKqgxmDOa/sUJScNme8NTBrMd28F3yPZ51ullOuY6bBVXNhKYZ9fjTpGfy5MmcPn3a6bIRI0Zgs9lYv37933ZizfgXoiRFGBm/tl1wmk2aIUxDeYQJY7y1pcIPTG0phHQUEo5bDhXEkGXpQqvBWAvaIGxeLdh6qbDJQ228WMr87q0JEJmEqRZn+P0TRFO38YRbJW7H30cSkABTN2G9sQdxzFD4oY+9X4/VLCQu+7cWMp7azxAiMBrB9fTn3N9bQ4/HZlNYkItYBD62YvxOPYs06xicl+Dx4FmOZenZf63h/E+ll9I7xoezGc5zq/rE+rD7cp7TZTqThWv5lcQFuCGXiMgu0/HkgGi+P5yCzmhh8YwO+GjkVOhMvLH9CgWVjiaBFToT5ToT/m5KFk9vj15XQ3alhTWnsxmTFMzYpOAG19yS1Pq2CQpNQ3yEW1D9BFUY8O3UJLLLdJzLKCPIQ0VsgJaz6aVkl+noEumFt0aGm/oPWl0WExhqQOGKTaGFkV8g2v64/aRccEfoNLuh7fRXUZrqSHjqcH65UPGrIz1WsXActYdA3JuCVIE1pAuWuRPZlW5jz5Eq3hi9Bt/NExocjK9tx8s1gAntp3AyrdTpbqa1ccHj2h1zSp+Yhnbv3TBUIanIpEKdyL0GnctrDfSI8qROx3M3/LVKEvzknJqqQlx6HZFCD4Pegr0v46kU4aU2opP5UKIYx3mv4RRWm4ipdcVNKcV38EeofvmHY5vRanY+gv8HuJBVbkd46pBfqWfVyUxGtg1gzoqzdsu8XOQopH9ja+vaziYXiW7vJ2lE0zfdyVnlDGrlGOrbjP+b+NOkZ+DAgQwcOJATJ07QpUsXh+UjR46kpsa5SLMZ/0EoTYXVE8BYTVn7hVT4dIRa0OpS0UqUSHJOIdo0WyiJd34YInoK4+l7XmwIpQTwjMQW3BFa9MNwvOk7OpPFiq0qX8i1ago1xYjNNXiuGSpciNIOwqlFiEd+ie38KkRNGRT+/qlQ1Wg7RdAonP5RKOFLZNBmMvKEMQTr0wn+uT9gs69MWC1I9KWsPW1PPJYfz2DvEz1ZcTyDomr7ZVqllCmdQhn82ZEmn0pRlYHdF/N4enBL3FQyEoLdifLVoJJJ+PpgCmnF1bTw0fCPYXGczyznp2OOr4uXi4zZcVZI2YYo5RdsLn48PGUGNhc1Yg+1YHBXcBX2PCcQWBCmn4Z/Ap4xILcfF64b/Q71VPPkumTONCJ0SpmYJTM6khgsQa108nNQVSBU9s6vhNIUCGiLKGE81oi+iB85juj2fqgpESJE3EIcW1B/BffMeNI1+CWVpQvkKP8CmGoEwbAzo0Oguu0svs9qwbcrblPXLWzp7c+jkYOQptzxnSpNBYmMTtFiOkd6cjLVnvgkhrjR26cGDt6pNNzLMBOwGarZfDOXvi19+OWa8xuCvq1C0ChlxAe4crWRAWMdnh8cTcjhZxA1DmXVBgqxGBIlepuEC7nVzFl2xi6epGuUF88MGovv3DGErOjmaNgpv8tA8g9QXmtgy/mmc9B2X85nSmfH6JJ5faII8fgbc6sU99DlyDWY7hFO11zlaUZj/OmR9TrMnj2b999/H5OpoTRbWlrKvHnz+Pjjj//Wk2vG3wx9FZz4DrPCg6vDtzDrShv6rCiiz4oiZh+ScatSivX3L4SLS7tpQkp6ykHY8og94QEoTUW0+WGMcg9GxDZ9Zz+pfQDuhaeEMfd7QKQrsyclZj2Y9YjKUpreqDwDq1yDJfss+s4Lsc49jG3OIXj4CCSME8TPag/wiXXairHabE51M69tu8LK2Z0Y1SYQmUSERCxiULwfG+Z1o1pvxlvTtAdJQpAbR24XU1pjZEa3UHw0cgoq9Ty07AznMssoqzVxOqOMx9cmE+CmpPddnjtDW/sRTi6Wwx9RiDv5LSZg0lcjWjIY0eX1UJ4tGPGtHt9AeEAw4Vs2AmNlDuczy7hVWEVeeS2pRdWkFVWTX67juU0X7QgPgN5kZd6qs+RXOTFg1JVD9ilY1Evwubm1Dw5/iGhRH8RV2Vi9ooV2ycDXhYiPvzpybjIIxnjHvhJI1b2miBRaYQS8LB22PgpLBgstpg0z77gnjxWE8eOWCKPlvnGYQnty1hbLl782EB6AJWeKKUqY3fCAT0uoyCLo8LM8NyiGt0e3pneMDz2jvXnzvlY81CMSk8JDGFsHgYC5eDs/T5EIs0cL1pzKZHrXcLQqRyI5prUHwTWXCTKm8/UDSQxL8K+3A/BxVfDB2AS6eZQJCfaNUZkL66Yh0pVRVGtl1k+nHfLYjqeUsOlsDivPFZE9YY/99iGd700eAKPRTFGlnpr6/YqQ3OMqIRHbtwSVMjGP9WvB8IQAJPfa8K+i7aQmF9mSZlJocf4bpJZLaB/W7KjcjAb8ZUfm5cuX8/zzz3Ps2DE+/vhjsrOzeemllwgPD2/26flPR00BXN5E1pitjF2egc7UcMd6LrOCd/fe5JvhX6HJOigQnsX9YfS3QgaVM+QlU1peQaB3ED1beNoJhwfEuPNCdzfC9deQVtSAZwchJ+nXtxwNAsN7CBftu1F4RXCtbSKs1OYbj16i5oEzcZzffBqNQsoTA6IZ0tqP4Mi4hhXH/girxgoXjTq4+uPuE8DgVjqH0v2J1FImLjrO4ukdeGpQNFab8OO582Ie2y/m8UifFry+7YrD+XSJ8MRosVKpN1NtMDMuKQSjxcaHe284Pf8vf73NxxPaEuPnSusgLRarjSFRKvLKSlglnc3GA+VYrTAqfj4zJz9JyM6p2OJGITr0nqMBI4CujNrLO3njSjsu51Qwsm0AA+P9eX7TRe5rG8jcnpFcz6ukrNaEUibm/nbB9IrxEcifyYrVakUsbnShqimCLfMdKxumWkRbFyCesuEvjTs7IO+csP8+LwikWCQBz0i7qIOGF3c+uAZgO7sMkTZAmEJK+VWo7BVdh/hRQnxJ0Q3wjMDa4xkK3ZN4+EdH0lypM2N1b0HWhL2UW1WovELQ6PMxylyZu/QcKrmEXtE+iESw5Pc00ktq8XFVsGbKKsKUNcgM5dgGv4vo5zkO+zZ3eJiN1w1U6c28teMqX01O4sD1Qo6nFOOmkrGgoysJ1ht4bZgDQz+gyCeYBzqHMaNrOCU1RmqNZtaeymKbVMT7Y7cTtHm0fUuqNBVsFi5lFDhMfdVh8/kcPhjXhkyDhGC3UKjIFIj/fd80Oa1lNpvJLNOz42IuJ1JL8XVVMK1rGIHuSiZ0CGmyYjWmXRDeGjm7H++J3mTBTSXDz1WBi/J/qBdrCmofYejh6Gf2j/u1RpQ0jU74MrRVCbuvNLRH3dUyFk1rj6+mOXigGQ34y5+GpKQktmzZwmuvvcaYMWOw2WwsXLiQOXPmIGp2rvyPhzG8Dysv6ewIj6tCyvIJIUTk7UazcaVgOFeSKtw1G+/dspRZavnsSA5PD46lb2wZa05l0SVEzfMxOWjWj26kK/gnxAyFMYuEAMg6aIOwDfsY0dIhjjs/tUio2hz/Wri43QVrr+fJMmg4nyWQlmqDmX/uvIa/m5Jgj0Ylbb94mLFdcAEuui4Io31iUHoEMbJNDTF+GmoMFnZfzueXawVYrDZUMineSgjbNJzyUUs5V+zClwdvU15ron2YB2+Pbs13h1PIKtWhlkuY2CGEKZ1DGfvtMUQicFfJGP7F7/w4s0O9kPpuVBvMeKrlXMurYNmxdNzUMtrPac/0DTn1fiEAP54qZNs1BZvHLyOoplAYsW4C7rmHifPtQnKWjc3nc6k1WpnUMZQfjqRyPLWE10a24vXtV/h0QiLrzmSxYPU5LFYb/lolzw1pSY9ob3xd70h9K3McY0LqUJLS9DJnKMsQ9Eci8Z1UbgnseAqGfyzkTJWlC347Y76DQ+9C1h33aqkCkqZji+gN1YWIxGLhM6l0g/sXCR48tSWwYUbDsYpvId7yMNquzzG61QB236hgajtP4r0l5FZbCQoIZNXVUn48VobBXAJk0z7Mg/fuD6Gkxgg1sPqUfbhmUZWBFZdq8XNVME2VgouhEOsDPyM5+E8ouARuIVh6PI3VO46+Ohtp7b1YdraEmUtP0aelL+/cF4+X3ExafjGXRdFETtiHT+rP+EYqSC2uQWcTKo+eLgrah3mw9Gg6c2qNLOvzPj6759q/lroySmqaNszTmSyIRSJ+Tymj2/0/AFZBCO4Z2eQ2t4pqmbToBBW6hhuSLcm5vDg0lmEJ/vSK8ebwXR5BUT4a7k8KQquSo1X9ix2YPcOENmbcKEGQbaiEuJFC9c0zghDgH8NjWTggmtuF1birZQS5q/41BKwZ/9X4H1Hg9PR0Ll++jL+/P4WFhaSlpaHT6VCr/7syV/7PQaGlKnoMxw7bG9Z9NzqQNocfRlLQyLH11PdC9ML0rU0b+oklqNy8GdLajTHfHCM+QMvodkFMizaj+fFBx2rEzd0Q3BHbuKWQcxZrSGfS5TGo9DICXf0dRZY2K5z+Edu0zYi2zm9o57h4Yx30LvuLPIgOF6GSS3hleByB7kouZFXw2S+3aB3oZt/L92oh/LUcCkBxlZ6MjFLe23Wd0xllqOUSxrQLYsnMDhy/Xcyk9gGEbx0Lecm4HngBbbdv6k0Bf/w9jbgAV+b0jMRbo8BssWKyWPnH5ktU6s1M6RTCpnM5VBnMf3gjUFpr5PfbwnSPv1bJb7dK7QhPHYqqDGy8aeXRtkqkGn/71PtG0GlCKS5reN33Xc3nxxkd+eFIKilFNdQazbwxqhXv7LrGrcKGCbT8Sj1Prb/AF5MSGZV4J0bibiHsXbBYoahc1yCsdobqEii9DbufaxD/hnaFIe8LHitHPmkYN68uEMI4Oz0sTOfJNaAvE6b+FBpEK8fYj6Ynr4ZZe2HlWKeHdj31KU9MHcPjiTZ8Tn+A9NYFcAumJvAZihV+dq3NsxllXMqpIMhdRU65c0PHFj4atiTnMGJQR1xXdBU0TJPXYjNUISrPQHL8ayT5FwkDnuz7LtKO7fnxdDFxAVqOp5Xx2YHb9R47CqmYT8fMoqUNPt53kyu5DQRyYLwfn09OZOGa8+Rp4vGRKhqcrwG0gcTomxYJB7gpqdCZ8NIoIMxRfwkIpKGqAMwGymW+vLE9xY7w1OH9PdfpF+vLW/e15kpuJWtOZWKyWBnRJpAeLbwJ8/r/US/jGSb8NWF7IOTQQVzA/1BI34z/E/jLTddFixYxceJEunfvzo4dO9iwYQPXrl1j1KhRnD9//l9xjs34I1TmYyrNIi/tGrmpV6jIvOzct0Tjizw0CZ9GmpRQTzXRphv2hKcOtSXCqGircY7LZGpsYxZh0QRSWKXHZoMruZUcuFaA9fpO5+0XgJPfUOvbjrn5o/ld2oV3j1ax/qYFy8ivHEWWIjHW8O78mOpJ3qg1GB86iOnBX6iYsptXbsdwMl8w4Nv8SDcySmpZcyobhUzCd1Pbo5bf+6OdUVrLxO9PcPqOxqXWaGHVyUze332dGfFiwhfFQK4wkSJN2YenwoqPa8OE07W8Kl7deoX5q86xcG0yRouNaoOZ10bG0yHck5UnBQ2UQirGy8X5XbCfVkFlowtNh3APtl9qOil++41qyhQBWLo/1eQ6xTGT+e1mw4i0zQa6Rm2QSzkVKKRiO8LTGB/svUFm6Z3qnnt405NRLt5cKpfz7MaLHE8pJru0iYpgTT4sH2k/7ZR5XMjG8o6BjN/t168tFSo9qydgtphh3ytgQ5jOc/aZri5ocBi+GxYTvtYCAtYPF0TLVfmQfQaXjZMYbd7N9PaCLkcsglaBWo7dLuGJAc49bLw1cjxd5BjMFmSWWqElGz8a241dQpVy88N2MQ/uB19kRispQe5KYnw1fLz/lp2poMFspcwkZ+7ys3aEB2D/1QL2XSlgbFIwGWUmwcSxDjFDoTKHcFcbUXen2t/B3F6RrD+dSa/oJnRHZRlw+GP4oS98152KwkxOpDon0VYbnEwrJczLhWEJAXw8oS2fTkxkapewZoFwM/4r8ZdJz/Lly/n666955ZVXUCgUxMTEsGHDBgYOHMi0adP+Fef4/zZKUiDvIhReh0rno9D3RFUJebU2vjxWyLAVWfT+MYMn9ldyvdiEodRxHNbV1YOHe4bX/7tbhBbflI1N7//Xf0K3+dBhVkOW0KgvsT24G/Iu4Lr/GUYqL7JmUhgeahlalQxl9T2mcGqKwWLCT6tELZfirVFwNbeSHUW+GOccxtr7RYgeiK3LI9imb0OcepDBQXoW7Cwi5us8or8tJOnr25htIub0COdqXjXDv/yd7w+nsvdKPu/tvs793xwlv24cvDJXEMumHYas01CSQmFFDe/vuYHZycTH1bwqUkqN9iGZIjFalZT5fZzrV3xdFXSO8OSdMQn0aenDU+sv1BfGfjicyscT2jp4wCikYl4ZEW/nxWOy2O7pYKuUibGKZBT7dsXa4SH7hWIppYO+ZNFFk0NoqULW8DWP9tVwObfptlR2ma6hHafQQs+nna5X0vtd3j1Szu+3i5n8w0kO3yqmsvauylBNERz70r5KUQdDJVzaAG0mwfBPhey2hAl2q5SVlpA3fBm2bgsQXVrn/ITF9x6LFpt1YHPUvmhPfsyMNmrGtw/mxxkdGRDnh6dGTptgN14YGota3rDfVoFaPh7flvf3XOeh7uHUyDz52OsN3jdP5KL3CEr6fyzYBtRBqgSlO16pW3hpWBxr7mqVAcglYrw0Cge/pzrsuJhLv1hfAt3kgqBcqsCWNAP6v4rtxCL8PN1ZPKMDg+L9qNMSe7nIeXFoLMVVBmZ0C8fTGdmuyBa+00c/q/e9sv6B47CxUUXM11VJgNvfOJXVjGb8/4y/3N7atm2bXbo6gEwm4/nnn6dv375/24n9P4/yLOGO95fXBe2ESCyIhwe/Yx8W+AfIN4h4eMMtLuY0jL0evFXG0dQKtsyKI16WL/Tz6yBXEeZt4+FekXx/OBWTBSxiJU1eOkQSyD4vBCiOW4rNMwpu7UO0qHf9KuoLq+nqHc3aSSt4ZFsBFa16oExe6nx/ge0oN8vw0YoY/93x+of3XS3gXa2SJTPnUeRTRptwf9yN+RA9mJBzH7C4432UjuhKjU2JRqXAXSmmTG/jqfXJDrb8lXozL2y6xA/TEgk68w2c+FbwKAHQBmF64DdONeHHArA/zUgPv9b1476lfd/ntV2ptA3x4OFekSw7nl5PDFoFavl0YiIf77vBzkv5/PxIN/y0inoPnu0X8whwU7Ht0e5sPp/LrYJqWgVqGZbgzzu7rtmFNx68XsiCvi04cst5vtKMriGsu1DCN7+lMr/LFCZMm4ln+SUkchW5LnF88HsZ26/aG+Elhrhzs9ExerTw4VKOo+dKHVQyCbK6qRutv2AH4Ncafv8EyjKw+LSiuNMzfHdNyakM4TwFXVIlA+PuMr3TVzgXqNch/bDQ5jrysUCCogdDj8eF6azc89RqI9iZoWROWzmyplptVflNi59dfIRzcNaatVrw0WfQwjeWB39q8B9bdDiVnx7swPJZnSioNCCXikgprOHZjRfpHOGJt0bBgO8bKjrfHoGhcfG8OfQHfM59Bt0WCu1gQzVq7xiS5FberXBsl2lVUgqdTczdgcliwwYE+gdgmrELi0TFhXIFbiZXgu9bhMbdlwjgzfta8ezgltQYzeiMFgoq9fSL9cXTRS60t+6GoQoub7A/l7LLtAqMcag41aFLpKfTx5vRjP9G/GXSczfhaYxOnTr9r07m/xTyLkDj6Q+bFW7theKbMHaxINx1C76n+BDgdmG1HeGpg9Fi5d2DuXw5pgXudy0L9lQzo2sYY5KCuJZdikEzHfW1zc4PkDRdCAQN7YzVakJkNSHa95LjesW3CL3yHe2CppCljMXPLcSp74ql36vkmLR8uv+Ew7L8Sj1fHUzhleHxeGhUQIQwBh3cEU+LCU9Xn3r3aL3RxMW8siYnWK7mVVKhMxN07Ev7BZU5SAouolFIm8yw8laJoOJOu0aqJC9oMLt2XmLX5QKGtvbns4ntsNpsyCRiSmsMKKQidl4SpkbWn8liTs9IO0v8RUdSWXI0lXm9I3nv/tZU6U2U1Jrw1tiLUXPKdVisNvq09OHQjSK7ZZ3CPXFTK3lukzA19vXxIk7nexKgbc1DPSKQy8TcLrPfJtbflacGxrBwrdB2fn5ILDKpiMSQpmMuxrUPxs+1UYXA445ppV8CFSZYcbaEnzaXUlxdjVIq5ocZHVDKJBy+WcSGs9n0jfXFtS7oUawQiIczQgKCcPnU93Btm/Dv1EPCZ/6BjRgOfcy+DCubLuUxJTEebURfxKm/Ou7j+NeC+Hnl2AbH7jvvm238T4h2Nx2PI1cq+epXx+mumUvPsOzBjkT6uPDr9UJMZiuLpndAJhYx8qvfHdbffa2MYS1bMrL/67BpVr02TSQSoR3+LW0Cox0S7St0QrWzyXOTiInwcmHcj6ftNEYSsYgfpnegn7vwb383Ff5/JROzItuBBHqd/Yy3B65n/Ooqh5y2iR1C0DYLgZvx/xCaZ/n+HShNg1/fdL6sLA0Kr8HBtwXH2Ymr71n52XO96YrF7yll1FilDqQHINBDTSAQKy+DtCxhEqJxRIRUCYPfFZKYU34BpRvi4I6CuLkJqK6sZdbYh3l2XwlL79+Ez7HXEd/cIxA6jwisg/7JkaogkkscbfnrsPdKAS8OioLiHEFP4hEG2oD65YWVOkprTJxOK8bLtemLBoDJ7JzUeF35iamdnuO7I45tB4ChUUo4cxrkLuj6vsnhjIb2zO7L+ey+bO8avO+Jnqya3ZlQDzUuCglGq5VKnYmvD6XUV6G8NAr6xPiRX2nARS6hoELPmHaBJGeV2SVWv7njCsse7MRDPSJYeyoLi83GmMQggjxUjPvuGADzekfSPsyDI7eKMZqtpJXUEB+g5dsHkiirNZFbriPIQ41SKmb7hVymdw1nSCs/iquN9P3oNzpHePLVlHYsXJNsN8XXMUyoZKkVTi5ynuGkZJbx0eGGUf11D3fly19v2Y0zf7D3Bk/0j2Zs+yBCPEOg64Kmqz2t7oftC+0fq8jGduwrynu+xvtfXiLKR0OeXo6p2yv4ZB5rMCisgzZQ0KiMXSy0iYtvYvOJxRY/Gr1Nitrq/DOATEWpIoQqw22ni1/ZeoWHeoSz90o+UrGIkhoD+RV6mvLA++FMGT1bX8W9sRjfZkO9/1kenXyC3VcK7LY1WWwUVemJC3DlmhNzwgkdg9l4NstBVG2x2nh58yVWzelMhLdGaImb7hB0ja/QkrwXnPlllWcSf/of7JzxDl+f1XE6vQxvVwWzukeQFOpOsGfzgEoz/t9BM+n5d8BiEvxEmkJesjBplH4Edjxxx1/D0fUUwP0e8QEucqlj+GNNKehKhHTpsgwI7gBB7QWCETcSru0Qzq/vi/DLG7DzyYZtezwNFif6jDqY9UR7K3h9VDzXDRakg77Ac0AZIosBm1zDuVIVnx64TdcoryZ3YbHasJalw6YR4BUNvZ8Fn1bgGUZhlZ7fbhbz3KaL2Gyw74leiEU4vRD5uCpwlzS0RKyhPShoOx+TwgOx2oOx6kCOpJQ7lPRfGhYLCim3799DlU3JmRIF0nvY6YtFIBaL8NcquVlYxYaz2VisNsYmBfHLU73IKdOhkEmQS8So5BLe2XWNQDclCcHuvLnjKq+OiKdSb+Z0einuajm9or3ZdiGXGd3CmdQxhLSSGo6nllBrtKA3WVnYvwUl1UbmLG+w/V97OoseLbx4Z0wCDy45RXyQlqs5lcQHaXnv/gSOppQw9rvj9YLmk2mlWKw2VszuRGGlnoJKA21D3PHTKgm6xySWh0qGt0aOxWrjlRHxXMwud+rf8tmBW/SI8RamaQIShfiI04sbVhCJoPcLQlCo3rHVJrq8EVWnxzFbbdyfFMTSo+m4KaU8Ov0AqmMfIs/4DdyCsQ14A5HKU/ChkcjBPwF9WF+q3WNJL6riua03WDXicwJ+vt/eekEkwjryCzbfajpjrbzWiEImqfdwahPsTsUfZLKZJE5eO0MV4efeZ/n053h+6616EhPloyHSW8PXU5J4duPF+tgTsUjwvnmgcxgjvnSsKgHkVuixWszY8i/DoXcQ3T4g6O3aThZywe5lEqn2EOJKyu0Jvzz9V2JsT/HUoB/J6xxGkLuyfhqqGc34fwnNpOffAbFYuOPSlztf7hoAmXfaP+lHwOh4J1iH4Qn+fHXIeftgcsdA3F0b/XDpy4VprDUTBFfZOniEw6Q1wgSKbxxE9IYzSyDlgP0Or2wSRKfHv3J6PFtIZ26VmpmwVDh3V4WUzQu608JfgwhoYcnjmR5eGBSe8Jvzc24XokWbe0xoVeSegzWThYpT20lU6mS88POl+up8cbWBmd3CWXI03WE/r46Iw7P0AhkTf6VcEYBNouDgzRIWHU5Fq6rl4V5KXh/ViszSWi5lCxNNnSO92HUpj7d3NQjApWLY8VhPp+cK0C/WF5VMwitbL/Pr9Yb20v6rBbQLcefTiYn0++QQ49oF08JPw6EbRWiVUsa2D6a42sjCtcmEeqqJC3AlpbCa1SczUMklPNg9nGBPFS9uvkSgu4q2we5olVJi/Fx59IDjlOTvt0vYf62A98a1Yd5KwcfnfGYF1/KrefHnyw7rn8koY+rik+x9ohfDEv7cxS1Qq+D7ae0przXhphLei6aw5mQmrfxdUXmECTqX9g9C2hGQyrBG9EGUeQzRtsecb2w1IRZBXIArvWN8eHf3dV4eHse4jVn0Cn+UieNeIdwVZDsfF4jTsA+Fqa8bO1HarNTGTkHr3oY372vNJ+ezeWTcPrzTtqEtOIXBPRJ925lUyHzx1zX9vWof5mlXgbmUU0G3KK8mtWD9ot1xy3VOUlQXl9Oj7f38PMGbcpEbVqma7AojL/x8CX+tgvfvb4PRYqHWaEEtl7D5XDbX8iodtGr1+5NJCKUA0ZJBDWTOrIcT3wiGjZPWgFcTbXGvFjBhBay8X5jOrINbCKZhn/LQypukFtew98leTb42zWjGfzOaSc+/A5pA4SJw9FPHZRIZ+CcIzsV1MDr6ttTBTa3gucExfLD3pt3jsX6uTO8agUvjVkV1Eayfak94QBgF3vsitqEfINr+GLY2ExDtf9nxYGXpIFdDcCchnqAxxFKsA97k2S0NI9dVBjP7r+QR7BGOUibD3UVOT00uWS6eDIzzY/81+/FsmUTE63298dhzlw4n5yy50VMwWay8NCyWj/fdosZoZsrikxx4qhdJIVq+OJhKTpmO+ABXnu/jT6CvhtcPBLAlOQ+LNV8oLsT48NWUdiw9mkZ2WS1quYTkrHKSQt25nFPJnOVnHC40IpEIDTpeGNKS9/bYV+d8XBU8PySWG/lVdoSnDuezyjl0o5DXRsTT0l/LsxsvAILQ2mK1kRjiTnJWOZmltWSWNrzHT/aOYvP5HC7nVLB8VieO3S4m0ldDQaWevXe11hpj9clMfpjeQXg7RHBfYiDV96hO6E1WKnXC8vwKHRU6M2nF1WhVMgK0SgLdVSgaTZMpFDJMZhtzV5xl8yNdKL97WqsRSmqM6C1WVFDvAlzi0oKM0lq+3ZnCtz3CmvzxscUMoQoXPpmQyEPLBJGxSCTYCvx4qpDOQXJi9swVjCbv+xqSV0HGsfrtPW8fQBvYkfIunzMkIZBJGy/RwqcPLb0GkV9hZUyNLwtWnWPnwp4EumWSW2HfMpNJREzvGsbCNeeRikXEBWgxW6wkhbrj46qgqMq+2qlRSJnROQj5D9ucPyHPSChLwy/Yl2v5Bhb8fA2LzcaAOD98XRW8u+cah24UsWR6Ek+su0p2mY4fprdvUnf1SHd/pEfed24cWnRduFlwCwVpE6+wdzyWWfug4AqiktvY/FpRrYlk+oZCbhfV0DbYDZPZSkGFDm+NHInEeaUzr1xHld5MlcGEq1KGVinF/y9MdlksFtJLdfx+q5iL2eVE+7kyIM6PQDeF8xZrM5rxN6CZ9Pw7oFBDhwcFX4/G1RSZCkZ8JkwbNX5M2YRS0VhNoCWPsa3d6R3TnW0XcimtMTG4lS/RflpC7jYOK0lx2k4AIO03REPewzZ5nTBifDcxqsPaKTBrH1xYDeeWga4MW1gPrP1e5dsrEq7mCXePnSI8WHm/H7LKLDi9BzwihYyjwM6E1Obx2vAWdI3yZPnxDEprjXQJ9+SpLhoiT7zcEBfhGkTZzEOUVlZz8koW6y9XEO3rysZHuvLNwdtsv5hHmKiQqMvP0aXDUEzqAFRlJ5BlG3n1fH82XWwgIjYbHLpRhN5k4bnBsey8lIvVZmN2zwiW/p7GoFb+7LyUJzjy3oFIBJ+MCMH716cY2+oBujzSmdWncympMdCzhTe9Y3xQysVOQ0PrsP5MNktmCkTE0Eg/s2DVOVbN6cIXB26x53I+ZqsNN5WMR3pH0ibYnSmLBR1Mv49/4+FekfSM9mZCh2AWNxpxvxuVdwjOzoU9UMnEeLrIuZHfhIcNwti8Wi4hu7SWzw7cZNO5nPoqmodaxrcPtKdtsBbVnQtQZkkNb+64ilYpJUhaRddwLdsvO5806x3jg8ddrdfz2RXMXnYGgPze0QRF9UOUcpc4WeEKfV/CxVjCjI23ySkXCMmRW8UMjPdj3eksWrlUChf3oA5gtdoRnjpIc08TVXmSt3OSmNwxlM8P3OLYHc3yyMQQTBYbW5Nz+XxyO5b8nsb+qwWYrTaSQt14dnAsXx9M4aEOntwfI8E16xAimwWdSMG2WXG8/1shOy/lYbHa6BvryzODWhKsrAC1J1Q7tvtsPZ9BF9KTapELbh7QP66GUYmB7LyYx6WcClr6ubJkRgf8tTKyy4Tv3eqTWTw3pCVv7bhmty+5RMz0RDdEP/3icJx6XNsGkf1B2kTmlFzODZMvT/2SSwvvvlw9XUlq0S2UUjEb5nWlqMrAe7uvU2u0MKiVHwPj/QT9UCNkltTwz13X2H+1AJtNINnDEgJ4bkhLQv9kW+xKXhVTF5+s/9wCfLr/JqvndCZAq6Sk1oTBZMHTRY6vVoGmmQg1429AM+n5d8EjDEZ8CrXFggBTIgeVGxz/RtDb1KHTw87DDSuy4MR3cHoxfmY9fgpXWg35AGKHC/upQ20J6CpAorAvZ98Nm00I+PSNg9J0QRTp5Aec2hIouSWMsk9ei1Wu4XaVnHnrs0gtEu48Y/01rB3ri3jNBChpJBRVe8EDGyEoiWBgVg93+sf6YbXZ8LYW47qkZ0O0QffHMSdMQnPwFTxyTxHhGkT/bgvYXaJm3LfHWPdwVwLdlEhyTsLtX/BuFM6YMfFXNv/qvCJyIrWUcp2JH39PRyoWMSDOl6cGtUQtFbFydmeSM0v57VYJEVoY21JB4MWvUN7agfLWDnxUnrQa+hG6qKFYELPvaiG3Cqqc3o3XwWC2cDG7grMZZSya3oHcch1vbL9KjcHCuG+P8dLwOOb1jsJqs+GikLLhTFY94anD94dT+f5wKoee6c2Q1v4Ok1116NnCG7c7kzaZpbWcyywnLkDLKyPieH/3DQf/nrfHtEYpE1OhM9Eh3JNDN4oorhZIX1mtiQd/Os2Ox3oQ5SvsU2eycDWvkqd7+eP+6/Ms7PQa+66XOjx/X1cFfe4KUk0vruafOxoy3AYvSeP3hz/CreVBxGeXgL4SovpC1wWIzGY0Gm8e7etFV289XnLBwNEg0VCtN6GhAKasE7Yx64Xk8SubBYfmRvC6upy4sLYEBzSEbIZ5qSmuFio15zLKqDWacVPJ+GJyO2K85Hjd3kiNJpbBkXJG637Gdc0X9du6H/0n1sSpfDD4HzzWrwUyiZhao4WbBVUYvTS0mbYV0dYFDTEhSnds/V6mMrAbpwrlbEvO4B/DYuka5cWc5WfqCebp9DLWn8lm+ayORPloSCmq5uCNQrxd5fwwvT1bk3PJLtPRJkjL2PYhqCVlQpRHUzcwCu093bSzSmtxkYkRWW0MjHbj4wGuiERQLvHkzb1p7LjY8N05k1HGsmMZrJzdqZ74ZJfV8srWK/x2s+FzaLXBjosCEXx1RPy9XbqBjJIanlyXbEd4AII9VNQYLExfeprbdww0FVIxD/eOZHKn0GaPoGb8r9FMev6dqBsHDmov+PYc/kjQKIBQ3en8CCROFu4gG8NQAyd/sNfWGKpg6yNwOgkmrgKrUXjs2nbBBA5gXBPeOSAQkroEZm0Q9HlRyES6Gz4thXOuLYEt8xGb9RT0WV9PeACWjwtGtONxe8IDwjZrp8DMHYK2AAirc3UtyReqWoZKiOgDUf2R/tCrPpxUXJqKX8YRxvZ8GWOvIfx4JJUn+0ciOvC2wylWWaRNTtmAIFId2tqPCR1COXCtgHd2XqNNiBtDWwcQ5yVhYvkWxIWXYd3hBn8fAF0pkmtb2VAaT0KYH89vukSrQC0j2gRwsgmtR5+Wvqw6mcnJtBLcVDKSwjx4fkgsYpEIsQi+Onibar2ZVXO6YLPZ+OGIYyXHX6ukT0sfbuRX0yXCixBPlcMItFouYV7vKDJKq3nwp7N2kQL943z5dmoSc5afwWoTKli/PtWbW4XVPL42mfxKPW2C3PhxRkf2X83nq4NCSURnsnA0pZgoX+FiJxWLkYhF9AiRIzm9hzBDDT8/8AGvHyrldEY5ErGIIXGePNcniLC73IJ1JqvdlFqN0Uy7L68zIiGJhf27E+AqQ6HSkG3SkF2lI1QEI30yYe8/EGWeAJEIZWQ/PhzyHmTkweZnGoJrRWIh7b33c/DbBw0HtZiQiW2IENz7tCopLw2L47vfhOcX4+eCwWRh7eks1p7O4tUBQUz0D8W19iYTQ83IVzYQnjqIk1ciixlMlqQLF7Ir2Ho+h1qjhT4tfTAkBdHyvmVoreVgNmBRurElRcQzn17l26lJZJfpqDVZeXP7VQfrIKPFyrObLvLMoJY8vjYZgA1nstl1MY9BrfzpEunJzI4BjF98jheHRDK03TREv73v9DNH28lgqADsfZOyy2rZf7WAZcfSGdran10zQuHsT4hWrAGzAe+Ww3mu0yPcKnDhRkHD9zmnXMfSo+k8PygGF5WcKr3ZjvA0xp4r+Tw5MIYAp0sbUKkzk1Lk2J57dnAsT6xLprRRxdVgtvLFgdv4aZU80Nl5YGozmvFn0Ux6/lPgHgL9XoZuC4TWkkwNGn9QujquW5ULp39wvp/cc2DWCcnov31gZ41PTaFgY39zt+N2ff8BrkFg1AlkybeVcD7HvxZ8R0QiiB4EHefAT8OF/KRhH4FCSyuxkpkd/fjptKDR8ZbqEKUfcX5+VXlC5o/XXWP42jC4/wdYPR76PA/bH7dPY9f4UtDvc9JEwYgrlXSMUGBGgtUnDvH1HXa7cpFam4wLAwhyV9E31o/ZjTQ8h24WsehwKstndabauy3a444XPID8uJl09wnk0/23ACF649F+LYjwdiGt2P5H3NdVweh2Qcz+6RSfT2rHT8fS+aBR4rqni5wvJiUS4qkmzMuFggo9A+N82XNFeB1lEhEvD49HJZew61Iey46nM6lTCMtndeb731LYkpyDyWKjb0sfnh7UEneVjDHfHKVDuAcL+0djs8EHe65z4FohUT4afnmqNwWVekI8Vaw8kcl3jcTk2WU69l4tYMmMDvRtWcXBG0KVrzGZ1aqk9I/1xWIDxDLkmYdpVXofPyQtoKpXJ0RY8UjdgkuKB4Q8L+RuGYSppBZKJe1C3OrDYeuw41IeOy7B8gc7Ul1s4dkNvyOTiDk/LxjRT8Mb2qw2G6KsE1CaAjset39TbFY4+rng1+MaIHzGgPLo+8moUVBbXM226ZFEywoxF24joXsE6V1D8XdXkV+hY/UdeVq1SM3O6paMDxIj3fMP5x8eoMiq4ZvDtzmV3jCevvZ0Frsu5fHVlCTmrrhyx7xSeA07hLoT5K7i3bEJ1BjMvDYqntUnM+snw+qQVaoj3MsFF7mEmjuTdjVGC1uSc/hsdAs0Yj2h3mpe3n6LoQumwK19kHuXqL3zPOG/d25gymoMVBvMSMQi3tt9rb6K82wnOayZhKjoev2m4gurCL2xg0XjdjFwqc6uMrj9Qi4Pdg8nQiW/p5bLZoOKWscMr7thdOICHeKpoqBSb0d46vBgtzBa+rmSWlSNq1KCj2tzxacZ/zM0k57/JGh8hL/GMNYKjs1mg2DMpwkUsoacpI4Dwl1exnGw6O0JD8D6GfDQfmw+sYjOLhHK4+5h2Pr+A1FoV2H099xyoUW282nBPG7Yh0LrTSwVjOZWjBGOf32n8Ad4Ak90+weT58/g4NVsRE3pgergrM0mk0FAW5h7WGhZFDcSZqs8yLxvE9O2lJBR0mB46KaSsfrBh4m/uhVRScP6Xpm76RfTlwM3HKsvrQK1KKRi3tx+1UG0rDdZeW7jBZZP74cyvB/ydHu9iSFpDr8Wu9MjSEJaSQMZeHnzZT4Y14bjqSXsupiH2WpjWEIA/WJ9+XT/Db6Z2p5tybkcT7F/3qU1RhasPs/m+d0A8HNT8vSgllisVmZ2i8DfTcn7e26w72qD4PtYSglxAa78OKMDD/eOAoToigA3FbsuZrP9sR5kl+lYfTITkQgeHxCDv1bBtMUnmdghhK5R3twsqOL7w47Tcxarjde3X+WDcW3qSU9iiHv9ch9XJc8PiWXDiVu0jhuP8vIqqC7A/fCr9l5Qj56FklTBxfnSBrAYkEb05ucxr7Pshgev7023O65aLsZHq2TmF0ew2mD9jBg4/pGjrqzl0Hv6RHFuBSSME6Iv3MPIDxnGeNdAoqRFKFaNE4z5AFcgwC0Y6/2LUctMaJXCz+CsNkpkycsRnbNBrfNKBhpfbpn9OZXuWJGr1JtZdzqLUW2DWH9G+JxG+bjw4fi2fLBXeB8tVhsBbkoe6RNVn6beGFV6EzsWdmdXchbH06sI95AxtXMI/kore1INvDQsjtSiGv55rIwnR/2IS/kNuLoVkVwDbcYJNyyufhSLPEhNK+HbQymkFtcQ7evK+A7BKKQSfF0ViLJP2xGeeugr8L24iNEJU1mf3PAaWGw2IQMN/tCs0FX5x5cVD7XcwSA0yF3lEMvho5GzYnZn9l7O5/G1ydQYzfSK9mFB3xYEuyubE9Sb8ZfRTHr+k1GWARfWwMnvhGqL0h06zYF20wS3W6sTz5xWY4TJqoIrjstMtbCoN6J+r2KadQCzyUSFWUKtKohIS6GQcD3wLaHVVZElVItSDzZsP2mV0xwjAPeTH+EenkjLrPeh/XdCpaopYtaUj4jKXfjLtz/3ig4Lef5gtUP6eIXOxMwVF9g2+ScClnerf1x7+kvemjyKWhMcbxSk2CpQywtDY8ku1zXpxpxeUkuJQURy9Gt06fg43pl7sPgnYgjuRkoFfLrqGt0SYoj2deVmQTX3JwUxtHUABrOV3jE+DI73x2C2cCWnggd/Oo3FaqOg0sC49sFOj1ehM3GroJrIO+2gAKWRzwd7oiu9gqpWw/RWMlKLXbhd2ECyruVVseZUFrN7RFBcbSSjpJaCCj2tgjx4betlDt1sEBdvPJvD4Hg/Vs3pguHOnfvlnIomq2BpxTXIxIK3k4+rgrYh9iL6KF8Nk7rFYDQ9jTL7iIPfC92fEKqCq8baOTGLUg/BkiHMmP0LS0+ryLjTnhOLYOnMjqw7nVXfkoxzMyPKPI4D1F6C/q0pVOZA6/up7Po8sqQpaGqMBCjLkKydVk946lGRjXjnU7gN/ZS+sRre6OuNy8YpiAouQUQvCO0GWaccjxHcic03m/aq+vV6IZ9OTOSXawW0CXbjtRHxzF5+1u5inleh59WtV3hnTAKx/q71USS+rgo8XRSkFtXSKcqfEYmhWCxmHl9/kUs5Vaya3Zkff08jtaiG9JIafvzdROtALU8PfJ3OvlZUFSno/TqQq5dTW6HHRS6lZ7Q3R1NKyCip5ZdrBbx5XysGRGkQHdjS5HNQpeyif48HWZ/c8NjQVv543gkqdlXJ6icP70bXSC9c/gTp8dMqeHJgtJ1QO79Cz8B4+5bcDzM68PzGi1xoVBXbdiGXA9cK2PRIN2IDmklPM/4amknPfyqqCoQ71sZtLH05HP5QGD1/5Ah87ST2QyIHs0kQLjuD1QxnFrNH1IvHtgtTUt2iyvhodDSB9/8A2x4VNDW+8Y5OuslroOujwjncjR5PCqX2nLNCG63ro3D4A8f1YoYITtP3glwN/m3qK1UlgX04vt95GGtRlYE8kS8Bsw8KmULGaogbRaBWyVfjgijQiymoNOCrVVBRa+KZDRd4ZnDLex7ebLWxcHsOi6e3x79NO1Ycz4DUcka0CWD9I93QmyzM6hFOh3AP0ktqmb/qbL19f4S3C19ObseW5Nz6StKV3EqeHKjGw0XGgi5e9A2WILYYKLep+fZsNVlld8hceTaqE98iOfUtaqtALnu4+rNy2FIe/kXMhUZxI5vP5zCyTQCZpbXsu1LA2cwypncNtyM8ddh7tYD72gXRMUyY5vF1VdA72pvTGaXUGh1F2CIRtAl246PxbRymdgBCPJRUVHhgm7FTaGNe2yYEtLafCV4tsd3ag8hZ9IRZD799wI5Z7/PukWLaBLnRMdwTbFbSG7UGdRYJrmpPx/iKkhTBzsEZIQIsAUlccunJpxdLmRqsIIEsJDK1QN6dofAqMrU7C/oEUmmpRRU7CkXRNSGcttvC+ulEO4gl9wyFlUuFqbmnBsagM5rJKK1tMlT0u99SeKhHBK9tu4JIBC8Nj+P5TRfrs9F8XBV8+0ASYV4uzOgagZtKRlyAFi+Ngmldw7BYbbyz6xoPLjvH4ukdCPFMZOuxXJYdS6fGaEEhFTOufTBbF3Rn7LdHqTVa+WjfDUY82R2bTI3I6VkBchcMje5tvDVy5vaOwk0lkJ5QTzWfTmzLY2vOczmnEh+NnG4tvPHRKJjaJYwQjz92cHZRyBjSyp8ANxWf/XKTW4XV2IBOEV64KqRUGczEB7hSWGmwIzx1qDFa+PzALV4f2Qo/t3s7szejGY3RTHr+U6Evh7NNCI+TV0DX+RDW3X7Syz1UcDEuugn+reDqFqebV7WextqrDa2Dq3mV6JHDxlnCBaIiRwg+vZv0XN8hxFKM/RF+ew+KbwkeJD2fgvDegBVkrkKGUuIDAnk5+rlw4ZCphMe6PQbu9xYj5or90Q75HM3qEWCs4R5WMwDkV5shIQl8osFmxairodSqotwgQaOU4qORs+hIGt2jvFnYPxpvjQKZROSQMwRCUrVWKWXvEz3RmazcyK+iTbBQ7Xh5y2UySmrx1sh5qEcEnSO8eGvHVTvRdFpxDdN+PMnbYxKYv+pc/eNGs4Utk4MIPvwskqN33jOFKx92fhpd9AQwm7Hc3IvkxF3Gj1X5+G8ez3tj9jJ0WQPpMVtsXMqpZOmxNEa1DWRu7yg+2de0y/eqkxm0C3HndmE1eRV6+sQKU2uFVQYeWXmGugGsVoFa3FRSfkq8gacqEnBOUNPS0nBLTETS7gGIHSHElsgUwgTgjZ1Nnoco9RCa/jW81D+Us3kGJnx/gmg/DW2D3Tl0Rxz79u8VfNb5EUTZdyXJp/wKXebD+ZWOVUSxhILER5myMo1ao4VhbYJ59LSIdcOMzsN0xRKKB33N2QIXFh+7TKXOTM/oEUyZO4fwX+Yh3vsPIdrixLeCrYTNJlSAejzFWJ03K0865soBjGgTwOIjqZxMK2X7o91Zfybb6XogTNgFuisZ0sqPWT0iWHYswy4MtqjKwINLT7N5QTcKKg2M/faY3aRclI8Ln05MZP6qc9hsVtaeymJpI/sEg9nKqpOZFFcb+GRCIvNWnqNSZ+Z6oY6uSTPg8ian52Vs9yDH88VE+WjoHePNfYlBRN0lTI/w1vDtlCR8KUZenQvp+0HlgcgmgSoPcPUVVizPBH0V6MuEqTKlVjBDBYI81AR5qGkdpMVqtQEigt1VrJjdmfkrzzKiTaBD5Etj/Hq9kOeG3PsGphnNuBvNpOc/FbUl9pNDjWG1QE2xIPytKRLyujT+QkaVzQLB7SH/kmOeFmDzjSctcARHf2nQJAS4KZGJbA13xFV5AnEZ/jEcelc4FghuzVF9wa8NBCU1KIW9ooT/lqSCX0uhBZF3AdpMgtiRwgVKpgS1j2CDfw9kltTw9PoLWKxmPhm/D+9b69EqRHbizrsRUTcBpnDlel4lb2zP5HiqoJ9p6efKF5MT+elYOj8cSWNU2wAe7xfNEwOi+fAuQ0eAN+5rRUZJLa9uvUJ+pZ7BrfzoHOHFm43GrYurjby/5wZjEoN4sHsEP97lnVNWa8JssfLphLZ8dfA2KUU19PAzo109GcozGlY0VOF2+HU0Wk8MyiEojjipoAEYq/EpOUML34j6Md4Bcb7su5rP5ZxKLudUsv5MNt9MSWJXExeJ8e2D+e1mES9vuYy5EUsb1TaAjfO6M/qbo6jlEv45ujXhR1+E88shvp/z87kbjSwSTMgQqbyb/mFRuWMVScmsETFr2VnMVhulaaU80juKFScyqDVa2Hohj3f7JaFqOxnRhTUN29qs2EpSsE7fjmT7Yw2fV48ICvt+yFvH9NQaLcgkIrw1cs5kVlAlicBdLBG+M41Q2vsd3r4dzubLDe2yGwVCjMiGOd8Rs7qzcBPQdjJ0eEgQ3uecwfrLm4h7fM39SUH8fC7Hbp9hXmqmdw0jtaiG54a05HxGKYHuTVch1HIJXi4KQj1dMFls7LrsWM2sMpi5llfFFwduOVgDpBTVsOpkJmOTggn2dGHV6mSnx9l7pYCF/aMb7dOC0T8cedsHEF1YZbeuLSARS+x9eOmN3JcYyLnMMn44nMoXkxPJKNFRUKmnsEpPhLeGGHU1iq3zIaORE7VYIsTmRPYVvvc7nxLIah1COsHo7xp+M8DB1ycxxJ1Vc7qglIrqJwmdQSWX1OuMmtGMP4tm0vOfCtkfTCfI1eAWJPwFJjY8fmkj7H0RRn4puD7HjxEqPmY9ptYTSBbF8dAG+7vUuT0jCdHdVSU4twxCOgsVH6lKGFNXutXfpTmkvxffhFUTBAJWB5UHTN0EPgkgl/NnkFJcw+k7OUT9llTRN2YoI7w1zOnlwme/3HJYf2hrv3rhZGpRNZN/OEFZo+mRGwVVpBTW1Fd1tl3IY9uFPH6c0YHvpibx/W+pZJXVEuPnyuyekdQYTMxd0ZBrNaJNIC9tdh63sOVCDktndmTJ0TQHjcyF7AryK/U8Pagll7PLUVem2BOeRpAcehtDcLf6qSNnUJddw08by+3CanxcFQyM92PWHaM/gNuF1Ry6WciE9sGsP2tfXVDLxbTwdWXkV787nOe2C3l0CPPki0mJxAdoCc7YJBAe9zCHz2BuuQ6j2YpYBJ5e9vlpepOFvAo9FqsVbewUfM85r1JWJs7BKPVh9ZG0evJls8Gnv9zi80mJvLf7OilFNSR8cY2T85/Fq/M8uL0fxDJo0R+9zIOBi2/yWr8f6OIvorBSx+0qGR/9Us6twnIAHu8fzcY7r8HGm2ZmtZsheAHVQe5Ctnd3Nu92DJyt0Jn4+EAK7w/4CPct0wQ9ncxF0BNteYSC0euZvfoyM7pF8PmkRPZeyafGYKFHtDfB7iqUUgkrTmRw7I5o/ZenejXprDymXRCLjqSy53I+iKBblBdHbzuK/G8VVqFROP+pPnCtgG+ntqfGYHbwYWqMgko9WqUUuVSMRiHlQK6NuDaPE9J2CpILK8Gkw9pqLBVucQxdnEJBZYNu6fWR8RRWGZiy+AR5d9yr+8V48lXwAXvCAwK53PIIPHYe9rxoT3hA0En9PEeoFjeh7cstr2XDmSzWnsri++ntWXXSeTDw2KQgfDRNZw82oxnOIP7jVZrxb4HCTaisOINXC2H53ShJFdpJ1YWwZiIc+Vi4kLYeh6ntNI5KOjF1fVZ99IBIBDO6htEh3BO7Wya5RiA4WSfh57mw8UGhfVFHeO5GeYYwYl5mX/FAVyb48lQ6/9Fyht2XGi78VhscuFHKkz/fRCmT8Myglni5CORJLZfwcBc/3ugqI+jOaPC+qwV2hGdcUhBfTkok2k9DuxA3/LQK+rb0ISnEjUdWnUMlkzCrRwQL+0fTKtANq9XG85vsCY5YJHIwUKuDzSaIUp1Nq4R7uXAhq5wn1iYzrkMI1elnnezhDqoLMJkM92z76X3bYbPBQz0i+GhcG17actlh+mxrci6jEgMdtl3YL5pN57KbFC8vPZZOYrCWFqu7o6zNF6wKhn0Irv4AFFXpOXCtgFk/nabPR4cY+91x9qZbyL9zYTSaLRy9XcyAT36jpNrI8VINld1ecDiOKaQ7uUFDMFus3Cyw17kkZ5Xz1o5rTO0Sxo8zOvDzvO6UyXypVgeiC+nDKsl9PLJfz5VqQS8yZ1MGC/ZVky0NZU+GDYlYRL9YX9bM6UxJjbG+LbLpUjmm7k9j7fm08LkGCOvO7rSmCcIv1wop9+0MgM2/DbSfIXyXgDKpH0XVRj7ad4PXtl1BLpEQ4KZkw5ksHll1jtTiGlKLhDbkqwMC8C67wPdT26GU2f/UdorwpFeMD/vvTOYdvV1Mu1DnVdBYfy3Z5c4nIut8l9Ry5zqjhCA3nh3ckkA3FX1iffhwXBsSg90YEOvLpSoNvdcb2BHxMnkDvmL8b94kfXXTjvB4qGX0ivHhvq+P1hMegFmJLqjPNWGbYbMK2rpbe5wvzznbYELqBNV6C9/+lkJprZGyGiPTuzp+L6J8NEzvGo5G1SxkbsZfQ3Ol5z8VNcXC3dDKsfYVAI0fjP8J5E78e2xWYeqqDhlH6zU/MqBrzxfZ8/gCbhbUoDNZaBWoRS2XEOShBpEfJM2AmEFgqBY8cjS+woiwSAouvk2fq77KaRQAAFX5UF0A3i0cl9WWC6PB+kqhcqXxQ9FEovl7u6/TN8aHTTPjsFbkoLDp8LnyJfKV27C1mYSu7xt43yFEsQGufDYxkSM3i1h2PAM/rYJ/jkmgSm8itaCSUA85ER4KdCIlD356uF6T0y7Undq7WmgySZNyT0DIXTKY7C+g7moZ3q7y+kiB9WeymOfXRAAkgMKVrGoR5i7P47VnvuNytSeKiM68FubFxrPZPPjTaaw24dxGtwuif6wfFqsNpUyMv5uSZbM68syGixhMFoa3CWBChxD+scUxdLQORVUGzDYRZ0YfZNO5HMxWKyP9gwgrqSHITcXhm8U8veGC3frv7bnO1bxKXhoei1wi5nZhNYFuSj7bf5O5vaNYVNifiZMG4Za+C6mpmvKwwSTXeCE3aQkrv0KMn8bB0DGztJY3tl+lZ7Q3C/u34L5PjnL8QR+MMjdCvTT4Ftaw4lgGLw+PY8Hq8xy+VczJtFIGt/JnUCs/Wvpp2XYhlzWnGr4D97cLwCp3QdxmEraQLphVXthc/LGeaPqiKwIQSzFNXIfYNxaJRFGvIRI34i7ltSa2JNu3uOQSMaGeavzdVIxWX8J9zUI6t5/Lrsde4XRGOYVVBmL8XMkoqWXhmvP1xFUtl6A3ObZvA9yURPtqHPK+6uDrqqCFt4bcCh3twzzq09oVUjEfjGtDVqmOzedzWHUig36xvmiUMk5nlNIx3JMOYR482D2Cf2y+wmeT2vJQj3DydurqyU27EHfeHpOA2Wq1I0IALjKR88BkqVJoyxuqmjbKgoaWuRMkZ5fXbzp3xVkWT2/P0Nb+bDybTbXBzNDWASSGuBN2d8wOQp5XlcGMq0LaZGZYM/5vo5n0/KdC7QGnl8CMHULrqPAaNp9YbD4t2ZwmJbu8lIGt5HioZQS435mWkMrBr7WQzO4ECpmUCB9XInycECaFRhBqbprd4I8ilgpTWe2m3VuLY/4DXx6dE7fisnS4sFaYUDNWC7erMcMZ3/0LVpxw3gaKdBcRePRl5Nc32z0uurQeZY+nifbzZufCHthsNm4XVrP7cgEpRdUs7B/NY6vPk9poQsjfVcmnkxLtRMjOCM6NgiraBrs5nSBxV8vw0SjsKi5hXmpeH9mKf+5sGMU9lVbKjFYJuCu0Tu9wqxMf4stTVXQPjmNM79dxPfZBg1DXpyXGMUvZlibmwPUb9I/1xWoTLmqfT2rHvqv5PLbmHCaLDbVcwpTOoSSFerBxXlesVnBzkeGpltM10ktoozhBm2A3CqsMTFp0ov6xDWdz6N7Ci3fHJPDe7utIxCLcVTJqjRZ0dy7OnSM9KasxcfBGITUGM59MSESjkGLDRpVNTb8VmbQLHYBMIuLK+UqGtBKxIEqG6seJPDDzEmtOZdnpi+qwoG8L3tkleMiI5C6Uib14eOkZAt1VJAS5cauwiqUzO7D+TDaXciooqTYwqJUfV3IruJJbSbcoL24VVOOikNAywJ0vjxYwLckbbeoaKn07Ii7KZ0jrbk69igAGxfshkim4rO6ArAbCqi/i2qI/pB/BszqFUE9Pu4DYOrjIJfi7KxnYKoDRUWI8184BQHV2EZHFV0jttJhFh1PJKdfdMS9swPSu4ZTVGnGRSxCJRAxp7U98gJYB8b6IRcIoeJ1OTSSCkW0CGZYQgKeLjBqjmeSsct4dk8C8lWdJLa7hlRHxrDyRwelGBoorT2ay7UIuXz+QRGGlgQgfDaMTA+nT0ofCKgMt/ZSsntOZar0ZmUSMi0JKiKe63nOoMS4XmWgXmFQfuVHZ/0OKWowlv8qMTCKinaoC2b0cQp1F69yB+K6v4ezlZ/HTKniwezhquZR2oY6Ep7LWQEGVkZ/P53Atr5JoXw3j2gfjo5HjqWme7mpGA5pJz38SSlKEi6JELkw6RPeHb7tAiwFUDPyEfx4qYMOZBu3Npwdu89LwOEYk+AvExz0U+rwAPzkhPQpXiB/V9LHLs+Dn2fY/UlazMJ4e1KE+KdsplO5CFpCz1Gdw1P8Ya4SspEPvNjxms8GNHYSEDWJm1yR+Ot7QEtMqpYxoE8C8DgrkP9kLs4UVAkm3ePL2rmuculM98NEoWNCvBb6uCr46eNuO8ADkV+kxmO3vrG8WVJMQ5GY3QbPsWDofj2/LMxsv2t1tK2VivpvanoziatY93IWyGhM2BK+RV7Zerq/yAIR4qjG7+FM7ZTPq9ZME8fkdGFqO5mLgBPYfTmfvNbjZoRcvzx2DUl+AWaYhuUTKEyuyyS4T7r6fHBhDQpAbfWN9WHsqs37iCYQU8sVH0pjWRdDdDIj1QyoVShM9o73x1sjrs7XqIBbBUwNjeLZRJacOR2+XcPR2Ma+MiMNFISWnXIeHWo7ZasNFLuZWYQ1DPm/4rH11MIXeMd68PrIVI9sGMqFDCAdvFoINXhgah4dKSoAxA6wmAvJ+4ftpPXh+08X6c3JVSHl5RBwmi4XzmeUAWDSBfLT1Bh9PaEtehY6TqaVkluho6aelf6wvTw1ogZdUj94iIdTdF5lERGmNkWldwgjzUvPo6nMEuqnIjfXlreLhHD5egkYh5YOxJiZ0CHaYrvJ0kfPkwBiCTn+AuMV4+i3NYk4nH55K6onUIwLfU+/y2bDlTF6bYafTEYvg3bEJ1Or0vL3zGt0eCMSnLjgXIOMocf11RPm4OMQvDIjzpW2wG24qKb1jfCiqMvDTsXS2Xcgls7SGiR1DeX9cAr/fKuHtXVd5eXg81/MreXzteQxmwX28f6wvnSM8+HJKO2qNZsprTXaEpw6VejNrT2Uxq0c4mmo9a09n8fE+e0H/yDYBvDg0jkAPQdPVwsfRtuDbk2UMGvkafptGUzB+J5sKfPnsq1P1uqJn+gQyP/Y+xNe2OGxLaBfhN6MJtA1xRyzC7oakoNLAe7tv0CpQS5+W9lVnk8nE5dwqHvzpdP17cuhGET8dS2fRtA50iZCiakIT1Yz/exDZbPeqQf6/B4vFQnJyMomJiX9b+fN/vc+KPMg5LQiQ60zUgjvAyC9A5oIx/yof3Q5k0bEcp5vvWtiD+MA7Gp/ybGFfe14QWksgeO7c95XwX2cCaZMedj0rCFidIbQLjF9Wr/FwgK4UTnwvjLHfjdjhMPg98AhteKz4FqwYDR4RAgG4yxm2dN4lbtSo+fl8DlM6hWKzwdnMMjxUEtoFafC7/AOaow2EKXfcDkZvNVDopAWwaFp73tl1zS73qQ5vj27NoiOp9aaHPhoFH41vw7MbL9rtK9bfla+mtONmfhXnMsvxdlXQLcoLN4WEXVcKWHwkjXfub82Z9HKSwtyx2QRh8eqTmeRX6tkyvxsSkY2jt0vp4msgTl1JWXEhBm0Yu9MsfHS4oL7i8Vi/FjzYLQxPjZLsonL6f37c7uLqp1WwZGZHTBYbo78+ijMopGK+fSCJFr4aQhvdEd8sqOKN7VfqxbJRPi68MiKe8lojT6xzJD0gjLDP6BbGcxsbtE7eGjk/TO/AC5sucaOgymGbl4bHUaM3svhIOo/1b8GUTmG4qmSkFdew7vhtnusgRnTwbcx+bclOmE+pzoLVBp5qOcdSinlla4M55Z7He1BQaeDlrZcd8sbm9oqkV7Q38VoDR1PLeHxbpt2FMtpXw6cTErHYbEz4/rgDSflwXFvc1TKWHk2nUm+id7Q397f1JWL/LEg5iK7tTF7WTWHTxWJ2PxhJnCQHbuzGVJ5LTqeX2XjTzLlcHVE+GiZ3CsG/+ioXK9TM3JTNhskhdNw5VKhi1kGqJGfKr2RavdlyQUgnH50YiK9WwZFbhQyI8+fA9UJe32bvK1RX1SurMdK9hRerTmY6rVK1C3HniQHRHLxZSGWtmZ/PO/+9UMrErJ/bFZFIxMivfne6zgfj2jChQwgAmSW1LFh9zu5mAGB8Gw/e6KbgWE0gs1ecs1umkIpZNyWcNhffQXxje8PNVEQvGPm5441QI+RX6Nh8Ppf399j/LqhkElbP6eygfUorrmbyopPkV+q5G54ucjbN60qEE+L2Z/GvuGY044/h7HX/O96LZvr7n4CyFFg/zf6x7DOwbAQ8tJ8C/96sWttElhWw81JeA+lxDxbG1/0ThJgJsVSo8tzjRwaTDsrTm15eniUQo6ag8oTEKcJxfv9EGLeXuwgaoc7z7AkPkIcPRWN/41JOFR4uMmJ9FASc+QDV2UUAeKbvomuXeQR7qvnHz5c4cquh/y+TiPhswjR69lKiPfwaeISTrPOhsMr5aOtH+24wqVMo7+12tNz/9rcUvp6SxEPLTlNcbaSo2sBLWy7z1ujWWK02LuVU4OOqIMhdxctbLvPSsDg6BsiQS0Qcz9WxO7uc8e1DuJZbSZinC6tOZrL491RsNmgb7MY/R7fGYrMil4p5el0y30xrz+RFJ1k6swM/F7qx+Gf7qa/WQVrGtQ/G01QIp/bgXV7A2DZDWH2uIe2+oNLAzCWn+GBc2ybfDoPZisFsdZjmjfFz5d37E6jSmTFbbRjMQkL49gtNT43VGMyU3FUdKq42MnPpad4e05pHV5932GbF8Qy+n5bEZwdSaOHriusdsWleuY6fTuXSqUUSsvjXSfST4G0ro8TiQkmtGZVMgtFixctFTsmd/CWFTMLm87kOhAdg0eFUhrX2p8qKA+EBuFVYzfWCSnZczHOYnrLa4OkNF1j5UCc+vi8Kg8mES202XlvnCnYLgCrzN7omTmfTRVh9uZa3jIsBEbLYwYRJSpjZvR2+V0u4XVjFNwdv81CPGLx9jEA2Sy/oiE+chcupRhluZj1By7sRFDWITuN+5GiWnjd3XOF6fjWDW/nTM9qPd3Y6fk4NZisf7r3O1C5hXM+v4sD1Aod1AM5nlWO0WMkt0+OubnpaUi4V46aWYbbYeGlYLF8fuk2wu5q04lpqjIJoP7WwmrzyWsxWCHST89WUdry5/Sq/3ijEZhMISNvIIIpdvfl6Z7LTc564Op3Fk16nR7+XEOnKBI8eheYPfbr83VSMahtAUqg7S4+lU1Chp12oO5M7hRLo5jitVVFrckp4QIh6Kak10oQHfDP+D6KZ9Py7UZ4FBx2TwgGoLYVb+7FGT2/SowYEQaUdpFLHQM97QaGBgHaCE60z+LV2HnzaGB5h0HkuxAy+kxMmF7K6VPZ3ZVmltbyy/SaHbjS0ZVQyCd8+8DSdpC6oT34KHmHU6I2sPZVpR3gATBYbC9ddYM+j09EeeRNb4hRO5jYdcHizoJpwL+cOsdllOlzueNNU6MxkldUS7qXGYrUR5K5k47lsdlzMq9dvfHMohQhvF6a2UlBQYaNvS1/0JgtPDIxh7LfH7CbHLmRXsGD1OTbP74ZEBL5aFZvP5bBmbmc2ns1mbFIQg1sJ4swag5kHuwTSSqtHUXlWEKRH9EGZfZoF4RJOZLrYtecq9Gbc1PeeWvFQy3F3Ntlig2c3XuRqnqAtahvsRv84vyZT4ntE+3DuTqupMSp0JqoNZnw0Coqq7Sts5TojUrGYNXM6kxjUMGXoopCiN1nJq9Cz7HgBMX6u9Iv15bNfLte/xh3DPFj6YEeWH0+vb3vtduJfU4ffbhYS7+fiQHjqoJJJHD5DjbH7cj7HVDKWHUvHV6tkXsfP6d8+De+dD4Hag/I7T63CADaJAtG1LXBjF6berzB3j6T+tZGKRZisNub2iuTDsQm8t+c6BT1nElGRgqgiCzrOxuoZiVnlQ77ZheSblUR4ufLkwJYsWHWWjmFu3C6sanLsPKWohgA3FV/+epuRbQL51Il9A4DRbKVvSx/CvFycanEA7m8XzI4LedQYzXQM82Trgh6kFlXhopAjwYabi5yruVU8tf4iOpOFQa38GNY6gHfvb025zkyt0Yyvq4IqvYXiaiPz+kRhswmC/V+vNxB0g9nKj6dLaD2xLR6+sU2+B85QZ1wY46ehxmjBUy1DrXD+mXemC7Nb7sSEtBn/d/EfMbK+atUq+vXrR0JCAuPHj+fixXvk6zTCzp07admyJfPnO5l4+f8ZLi6OkwR/ChZD/Z2lU2SeQC0T0ynCs8lV+sfdY7Lqz0Aig3YPOG99iUTQ+1nBp+QP9yMH72jwbw3eMQ6ER6+vYfWpTDvCaculwAAA7S9JREFUA6AzWZi74jx5iQuF43hHU1htYuUJ56PuFquN/TdKsT5+icKYB/C6h1eHj0bRpMfJ0DhPxBYdOpMVN6WUcE813ho5epOFR1ae48C1QjvB6v6rBcQHarmSV02cVnATPn67mF2X8uwITx0MZivfHUrFRSmjXag73q4KzFYbD/eKQCGTEKBV8N7oVnw+KpSkyl9RfN8Vlo2E5ffBol5YbVYCtApWDzSx+P5gxicFML9PJJsf6YanWk5YE2Sua5QX/m5K3Jzc7Yd6ufDaqPh60faF7AriAlwJcnd8793VMgbF+9ldyBojv0KPh4vjhahTuCcucgk+rkr2XS9kw5ksbuZX4amW4eOq4OP9N3lrdGvGJgXz9IYLdq/x6YwyZi49zYK+Lfhycrv617Ep1BpMVOubTv02mK2o7hEbIZOISc4qp8ZoIa24hud35/LezQDKu79MUcLDrLootO9GtZAiymto4RQE9a9PSW8f5sGSmR3xdJHz7q7r6ExWVs7uglHpQ8Xgz6HPi3D4A8TLRiD/rjPBu2aQpCzkyfXn2Xkxj5/nd6e0xoj1D5QGNmxklNbg69q0MFcsEtE+zINIHxcmdHDMewv1VDOhQzAB7kryK/XsvZp/J/vNlYmLjqNVy3ln1zUWrj3P8dQSkrPK+WDPDab8cIIao4UYP1fi/VwpqjIyb+VZ7v/2GA+vOMvT65NJDHFnQV/7m61WgVq0/ws9jYeLgmAPtQPhKakxUFglVHc8XeS4NnEMpUyMj2uzl08zGvBvJz27du3i3XffZcGCBWzevJnY2FgeeughSkqcJHE3QnZ2Nu+//z4dOnT4/+lMm4a4IpOWluuItzwspJNnn2nQ0/whROAa0PRi91B8tCpeGBKL9O6xBiA+QOtgEf8/gkc4TNsikJY6aANhwkrwjG5qqz+PsgzyKwysamIyy2ix8ntqOTy0H7Rh2Gw2KnRNV3DyKvTsy5bQ+fMLJAS5Nzla/kCXUCw2G88OjiHcS41cIkYpEzOrkx+vd1cislq4mF3O8z9f4nhaCcdTSnlq/QVyKxzL5YJRvohf0o34awVC4aFRcDSl6c/qmYxSSmuM5FXo+OlYOkM+O8KRW6X4a5UEebpAeQbislTB0K1xtIJJh3jbo+hqq7H5tmLAiQf5UPQFj3fS8sAPJ7iUU873U9sTeFfuUKy/K2+Pbu2UxNQh2kfN1gXdGZ7gT6CbktUnM1k8owPTu4ahUUhRysSMbBPAqtmd+eyXmw5+QPX78dWQf9frJJOIeGlYHL/eKGLIZ4d5fG0yz268yODPD7PkWDqb5nXFaLZSpTOx6HCq0+Ge0hojh24UYTJbkUvE9GjRNOHuHx9AuEvTpOdKbgXjnVz869C9hTdn7hL8brxYSkHEGM6K4kkrriHWz4XW8rz6cFVzn5dYfdWE2WojyF3FvN5RzF1xhrMZZXw8KoJO3noyM1L5aO91zIU3YN0Uu8BTce5Zgrfcz1fDfNh2IZfjKSWU68y09NMSH6B1SmZDPdWUVBuJ9nVFKhHhppLRPsyDWP+GCmywh4pKvZlnN17EaLGysF80Kx7qxNDW/vSM9ubt0a35bmp7Pt53k6fWX+DnczmsPZ3F7OVn+O63FLbO70ZOuY5frzsmzOdW6PnpaDoVOgM5lXqmLj5JWqPqY43Rwif7bxLkriLKR7gBVMrEjE4M4nJuFenFNVTUGiirafq9+jPIKKlh35V8nll/kSfXJbP2VCZikYi3x7R2uv5TA2OcVzyb8X8W//b21tKlS5kwYQJjx44F4I033uDQoUNs2rSJuXPnOt3GYrHwzDPP8Nhjj3H27FkqK5v23GgKFkvT7aK/AnFlFqydjKiwYUSZ04ux9XgKW8e52DR/UIVxD0fc9VFEO55wXCYSY2szEavFQpiXivUPd+WDvdc5mVaKRi5lfIdgZnaPIMhN8b9/PiIpBHVEPPVn0JULk1sqD6yuwYI5yV/Yf3a5ntIaI2W1RgLcVHioZPjlXcDi1qVJoz+ArDI9teoo8soNyMRiWgVquZLr/L3tHOFJlI+a+X2iWHE8nQ/HteWlzZfs2oBj2voyvo0XFpEUD5UXkd4u+GsVeKql+Ml0lBpE3CiyMjoxkBEJARy+VUT7MM8mR5kHxPlyPKUYfxcRdTKXCp0JH03T+gkvjQK5RISvVsk/hsXh66rgmfXJxAe6EuqhQmyzIDrxTZPby098ztGI1+gx6Bv8t0ykpms15Xozj61JZsdj3Vk1pzP5FXpyy/WEe6vx0SgIclcCtiY/E24qOW4qOa+PakWVwYxULMJdKcNLI+f1UfGo5VIySmpYcTydvrG+TttbUT4a4gPd6Bntzd4rghA7KdSdV0fGUak38/JdvkA2Gyw9mk77MA8OPtOH8lojF7Pt9+utkdMpwpOiKgMn00rpHO5JqKeK54bEcvq74w4Vny6RnmiVMlSaQJJCSxzOUySCdiEexAZoOXyzyGFq6qEeERxPKXbaUjqRD1uSK1nQJ5KpbbX4H30NW7tpkDSTQlkQ334mVH2mdQnj0/036Rul5ZO+SuS/zEOSdZxYtTe9hn2B8sRnzse2dWX45v9GQlAbVp3MZOVDnSivNXFfYiAikYgWvhrWnspk39UCpGIRzw5uyecHbvH8kJa08NHw3v0JnMkow10t47khsey9ksfwhED+sfkS2WU6qvVmWvppCHBT0MJHg8VqY0tyDvuvFXDASeVuzaks7ksMatLWAAQDSQw1lJbV4uOqoMrg+F1ecjSNCR1CWHEigw/HtWXp0TRWn8oi1FPN99PacyKliEAPF9qHueNxFxnRmaxU6U1olFLUTqpz2eV63tx+1e78j94uoYWvhh9ndGDlQ535/MBNUopqCPdS82jfFkT7ueKukv6vfh/rtv27rhnN+HNw9rr/He/Bv5X0GI1Grly5wsMPP1z/mFgsplu3bpw/7yiQrMPXX3+Nl5cX48eP5+zZezjd3gOXLjmPFvgrCPT1wv/y9/aE5w5Ev38CsSO4kJqP1dp0eR6gXWRfaDcdUePpKakS231fUyvRcj05GQCtVssHY1tjtooEF1aRmey0azjel/1dKL3zB76+vgSpTYhMNSCSYJGpSSsx2RFOf39/qiVaHrnjFVKHfi19eLdHEApTudOR3Tp0DPfkuc2X2X+1kM2PdOW5IS2ZseS0w3ohnirCvV0Y/PkRNj7clfhALb4aBdse605OQTFVleW09JLiU3iMUlsLHll9gev5DVNG0b4afrzPB4XIxPt7ykgrrqF/nC9PDYjmen4VwxIC2HXJXkfippLxQOcwHll5lh0Pt+Vwei1TO4ey/UIuzw+JZVsTYuCZ3cJ5e9f1el1JhLcL309rz/Hbhfi3DUBpNkBpGogl6FpPpajlFGptMlxERnyur0CidiMp0o98gy8VMy/hopAwKL6CfVeLOHKzmIGt/LlZUEVumR6j2Yp7pJyioiJycpxP7jQFTYtoTGYbrkoZueU6sst0hHtr6NHCG4vVxuIjaVQbzIhE0KOFN2/e14rlR9OY0jmMJwbEYLMJ1bpao5kNZ5xX8wAWH0mjTZAbSqkYP62S1OIaPNVyvpuWhNUqTOn5uCpIDHFHhFDt230pj0XT2rP6lJCp5qaSMS4pmEgfDRvPZdMm2I0nB8aw/2oBP5/LodpgJiHIjeeHtORyTgWrT2bw3dT2nEwr5XhKCRqllHHtg9l7JZ8ff093ep7uKimLxkXirhRRI/ageNCnlNXC1gs59I5R1CeBh3u7UKk38dYgKaplAxsyvipzUOny7tm69sw/SgufzjzUM4E37rqYS8QiXhsRT8dwD6L9XFl3OpP5vaOI9nVlwepzdjcDErGIj8e3ZcfF3HqrBIPZSnJyMt5hsSxYc47XRsYT4Kbk63tkWa06mUFSiKMfl0om4dvRQbS23sRt+8e0t1lZ12MyNxWtmLs5x+5GI6Womj4tfegX68s7u65z8IbwnDJLa5n+4yk2PtKV3h8eYnaPcMbFulBTUYK7tz86qQtLjqYLrTZvNbN6RKKx6SgvEsb+g4KCuF0mckrYbhdWs+lcDnN7hPHJ+LYYLTah8ltTQmFaNs6bs38df8c1oxl/HX/36/5vJT1lZWVYLBa87srx8fLyIjXV+d32mTNn2LhxI1u2bPlfHTshIeF/PX4orsh0COyzw+WNtBn4zz/cjw2g93PQZZ7wIynXgG8sVpUXSqU7iZ5BTW7rnZj4l8/7L6O2DHHRZURrnhWMEgFJSGdaDPsIa3ibepvarDI9s5ecdJi0+fVGER8qffhnxO88M3AIjziZ+AnxVNHS35XtF8EqsjLsy6McfrYP398ZOc8oqUUiFtE/1penB8Xw+JpkrFZYfSoLvdGCh4uMeb2j6OlrQHRkARRdJ2/yAZ7edNWO8IAw1TN/l5hlHbN5p38rJq+r4cC1QmRiEUHuKjpFeDIswZ/lxzOoqDXRNcqLfrG+fLD3Omtmd+RioY5frgskZnKnULw1Cp4dHOMQYDqmXRBhXmo7IW1acQ3v7brOgr5RyOVy4bXza01Bt1f58rqW9auFyoNCKmZSh4cZHR/MjG9P1lfIukV58c/RrekdXUSErysjvjxiZ3SnVUlZ+VBnEv8Hn4thCf5M/fEUpY1aEC5yCctndWRwKz/MFhtyqQSNQoKhLJ8hCQFMbGRoCLBubhdyK5o2q8yv0GOy2nBVSpjWNYz3d19n7dwuvPDzJc5lNrSZFFIxX01pR5y/hm0X8lh+PIPR7YJ4YUgcOpOZnRfz+PSXW3SN9MJDJaOy1sS0LqFM6xKGzQYmqxW1TEykl5I5rawYc3/B4tee4ioXLudWciKlhKtNVBGlYhFtQ70wSUTkW2xYzRa+/y2d1aeE9taNgio2zU2ioLgEP085C7t44P3bQodQU2pLhRDgIufHMXm04PH2Mey5UuhwMbdYbby2/Qq7FvYku7SW8e1DaBWo5ctfb9sRHn+tklGJgRRU6nmkdxQXs8spqDTgppIRlpjIxnM5XM6pZPuFXEa1DaqfznKGKp2Z9mGOpGfRmCC6nnsOaXaD67pP6iE8A5JYMvZLJq5pILlhnmpsNpi65KSDi3NJrYEqvZmt87vyxvarTOkcRlRYMAdvFjNv5dF6MfqlnAq2Xczji0nt6N+6DQqpmFqjhfX7m774bT6fzZh2gYR6NGrrugcRFNT0b+efhcVi4dKlS3/LNaMZfx7OXve6x/43+Le3t/4Kqquree6553jrrbfw9Gxa2PtnIJFI/p4PcFOGfIBIX/Hnj+EueGLg16r+ocZbWiwWaoxWtP+O/nRlJqy83+5HXZR1EpaNRDL7l3odUH6l3uloMcCWS8UsbNuK9sYLfDI+gff3Chk/IhH0ifHhjREtCalO5ss2BdC/JUaJCzM3nufLKe35dEIiErEIqVjEjYIqpi4+SdGd/lJuuY73xyaglkvvCJpjYcJyrLd/pUwdxrnM407P53JOJSUDWxNmLEKjkFJtMLPvagHfT+vAnOVniPJx4Z+jW+OmlHKzoJKsogq+mpTIkxsu1hvnARy5VUxSqGDXPyDOj99vF2M02+gR7U1+hZ4JixyPf/BmIc8PbSl8NkQKKnv8g3f2ZLH1sv3ky7IT2ZTprIxuF8Ty48KF5VhKCXOWn+HHGR0Y991xB2ffSp2ZJ9cl8+OMjoR7/zlxfVmNgbwKPU+uu2BHeEDQasxbdZ4Vszrxwd7rvDGqFf5aBcmpZYS3COCVEXG8t/t6faDr9bwKkkI9nAZnAiQEa9HIJdToLSilEr6a3I4VJzLsCE/d85+/6hx7Hu9JoLuSnHKd0+DJAHclPq5yInxceWr9RS7lVAja+2gf5vSKpINLMZKfBqIyVBLr4oN/u3nUtu+ExMuf/nGxTF9yun5KTCEV0z7Mg/l9ojifWcqT6y+ysF8UbYI96gnPd/eHMcBfh+TEP4ipzMYW1IEWiQ/ATSffywtroP1MIXjzbojEFEaOobjaxLJj6U5fK5sNtl3IQSGVcKugiha+sWy/mMfDvSLpHOmFVCxCq5QJDtXH0riQXc5H4xORS0QEaJUUVhnYfD6H+X2iGNE2EBeZhB4tvNl0znkVsEe0N54ucrpHedXr1KJ8NMQaLgmER6aiNmEqpZFjMCNGU3GTaOM14gP866cB5/WOIrdC50B4Xh0RT5dIL47cKqLKYOaFYfFIxSJyKw28+POlesIT5K5EJZNwu6iGlzZfovWjPYjwdsFis2C+R8XcbLFhs/EvJSV/2zWjGX8Jf/fr/m8lPR4eHkgkEgfRcklJCd7ejjblWVlZ5OTk8Mgjj9Q/Vtc6io+PZ8+ePYSGhjps9y+DXAORfYUUaGeIu4cD8p9EUaWeklojm85kk1JcQ+sgN0a1DcDPVY6r6v+HqYSqfMGV+e67WBCyd65uhW5PgFRKbhOhiCCMldZapIT+f+y9d3xUddr+/55eMzPJpPdGAgkBAqH3pggI0lQsIIiIit21rrvq2suuvWKjShMQFEGagPQOgQAhvfdMkunl98ckQ4aZoO6z++jz++Z6vfiDmTNnTubMnHN97vu6r2v9zdzQ81b63P4kzS45MqmEUFcdmqVDoPHyTU3afRrLb/wbFQ4XH+zM9VkJxwQqePK6riSHqrHaXeCyU9ZoQiYWoZJG8qN1NBnWq0/DNNsEaJvL0MgjaLbYcbrcGUhCgXtEeOZnB1HLxNw1NIEBiXr259d5EZ42HCtqYP+lWlYeLuLp8d3IiNKw7Vwlj6/1n3flcrlHiwFQh1BlgO+y/ZOETafK+HRWlof0gPvYShvMl/dxBYrrTYhFAvKqm7HancgkQsIDZFQYLLiAMLUUleKyDqmk3kyFweTXaBDcWVuFdUb25tYw96vDfDWnH+DW4EzvHc2I1FByq5oRABlRGoxWJ1/+UkDzFZoPkVDA/SO7EKZVUFDTwud78/l0Vh/u/+aE3/e1OVzsz6vl3hHJ3L/iODdmRdM/UY/D6cJgtrHsQBHX94xEr5Iy7aN9HuLlcsGuC9WcKWtk/c3hRLdFf7RUo9v7D3QAEgXa+ft4ZWoGuVXNaBUSEkPU/Hyhmh+zK7gmLZwdjw6n0WTlw13uqvPfr4nmGsFBhF884jlGQeE+BIcXwfQvYPPjHrEzAFXnQCDEmXUnwiOfX35cLKfu2g9486CRO0cKqWn2NdVsQ3mDmZv7xTCtVwQum4nXpvVgzdFiL91ZrxgdT1zblYdWnmBLdiVfzM4iJVxDg8nKnMHx1DbbmPbhPhQSIUvnDWBrdqWPHidOr2REagi/5Fbz8tQMDuXXseJQEVPSAgg59wqoQiiZvIY3Dlv4fnktdqeLlLB4Xhgbwf1DhDzwbRMLhiUxKFnP9e95m2a+dEM6VoeLCe/t8cib3t+R66la1rZYmTs4nhlZMRTXGzFZHXQJVXO23EBts4WEYBU6pZRJPSPZfs5/s+ra9HCC/w8krpusDsoaTVhbRfpBKgmBqj//cf//CX8o6ZFKpaSnp7N//37GjBkDuEnM/v37ue2223y2T0xMZONG7xiCt99+m5aWFp555hnCwztwDP5vQR0Co//uzrqyXzHtE9Gr45T034hGo4UTJQ3cs/SYx4tiR04Vn+3OY/Gd/egb/7/wY7E0u1ORO0LhPsi4EQzlxOs7nvKSS4SoAjQgFCE8uYy4k8tAqcc150cEK250Z/E4LO5wUkBwZi2ukK4E9buPhaOS2Xm+yrMavCYtjAdGd+G1zTnsvVSDy+Ue0376uq68v/0iLgGMz4hAq5D42Nm3QSAAndSBTZdMbYu7yiAUuG/Mn8/uS6ROjlQkxOVyIRGJOJBfw8rDJb47asUPp8sZlhLK3UuP8v39Q0kN13S4bbBailompsViQ6XQUF9R12FEkdOFT6ApQE6FgTCNHIPZO61cJRWz9p6BfLE3n5WHi2mxOgjTyLhvZDItVjuf78nnuu4RzB0cT0KImrpmCx//nMv4DN909vYwWh1IhEIKao3k17QQo3X772iVUrRKKUkhasobjJwpM7DqcDHv3NyLt7dd9Lj4JgSreG5SGuFaN9nSKUV8Mqs3VrvTk+XlD+WNZiK1Cpbf1Z9//nSBL/cV4HK5gzifGNcVtVTER7sueQhPe9Q0W9lZZOP2yEwou6KlajMhqcnhuY0yXrkhgwP5dTy97jJJXXqgiL5xgbx1U08ajO5K0C1pcoSfPeF7kDYj7PgH9JsPW//q/dyPT9Ey/xDSvgtoLjhOgEaLQZ3Ek1sr2XaxnvGZZjJjAz3xKVeiZ4yOZ749w5dTQpHbm9l0Ssy2K278J4obeO3H89w/qgsvbDrLsxuyWTxXRXywiuJ6M3e3uiWbbA4eXX2Cz2ZnsfRAIdvOVSIVC7m+RyRj08L4108XeHB0F+L0KuL0KgYm6Ql0NUKunYprP+HWDfUe93Jwe2DNXHaRVfP7s/XhYeRWNSMVCpk1II73duYCoJQK6R6lY7If9/B9l2r58UwFr0/rgVIqYuqH+zzfBYEAZg2Io0879+We0TqfmBiAkAAZswfG/TFV8N+B4jojP5wu55PdedS1WFFIRNzcL4a5gxOICfJvP9GJ/zz+8JH1OXPmsGrVKtatW8elS5d47rnnMJlMTJ06FYDHH3+ct956CwCZTEZKSorXP41Gg0qlIiUlxa2R+N9GcAquedtwpY53+9yoQmDIo3Dj4qvnVf0G1LbYeHTVSR/zLZPNwWOrT1JY03Fr7XfDanbHQ5zbCIc+haKDrQJbsTvZvSPoomHXy/DlNYS5akmL8H+zn9kvluAgPdyzH25dA3M2w8Kjbpv+QQ9C4nAY9aw7Wb7VsVVw8GNkxnIitHI+bh3PFgvh0WtSueWzA+zJrfGQhf2Xarn50wPcOzKZLdmVrD9eilAA1/f0fzMfn6ZHX3ecI/Vyz1TQdd0j+Ol0OUkhKo4W1jNv8REmf7CPJ9edIiNae/XyutOFSEir+Z4JjVzS4aj1w2NTaDRZ2J9XR0FtC8ar6CwAZBLfn2lckIpGs+9I//u3ZvL6lhy++KXAIzCtNFj424Zs7A4XXcM1LDlQyE2fHiC/pgWD2c6ZMgNCIczsF8PLU7ozs6/3iLdQADqFxDPldKKkwW97+Vx5E3ctPspP56p4et1prkkP45Pb+/D57Cy+vCOLPRdr+PKXQorqWlhztIxJ7/3C/rxaEq/ShusbH4Td6eK+5cfYdb7ac77LG808tPIECqm4Q8IAsKPQgSXUv3u1wGklPUKDXCrmw12+At/DhfVsPFnOPSOSSAxRIa45B44ObBQqs8EP6bdPeBuLTM+9PzbwzIUknjsXxV9/NrDtovvG/dbWCzwyNgWBH8eFCK2cMI2cCJ0MXe46TAI5mzuYrjpbbiAmSIFIKKCozkizxU5lo5lPd3v/XefKm5jz5WHUMjGf3p7FezdnUtNs5c6vj/D96Qrya9ykxmq1Y3c4ccj1uHrP5owp2IvwtMHlglc2n0cARAcqqW62MLV3FE9d1xWpSMisgfF8d7LM53VtWHGwiIxoLQ98c9yL/Lpc8PV+77ZnfLCK92/J5Onx3dwRK0FK7hqayMr5A/5HMRP/G6hvsbDmaDGvbM7xtJBNNgdf/lLAPzadpaTe97PtxH8Hf7imZ/z48dTV1fHuu+9SXV1Nt27dWLRokae9VV5ejlD4h3OzjiGR4QxJo2nES2ivFSAA0ES5HYn/h6gyWDoc8S6sNWLwc9P7t2Btca+EV8z0TgGP6QfTvoRBC+Fb//YBpIyD1XMAiNownQ9v3snT311gX6smQCIScFOWezWj0CiBIAhJdb+24jSCZdPdsRVtCAiHyR/AhvvcrTWnk3CtgnCtgi5hakTAssPFfj+XFquDbw4X88CoZN766QL3jUhm4chklFIRa46WYHO4EAsFTMuM4JH+AZQZ+/PXFUUIBHBd93Am9oyga1gAb2+76JVb9EtuLc98m82knpGcKfUvSh3dLZSfzrbFAwi4Z+lRPp2dxZe/FLCqteISHajg4TEp9I0PZNgbu/hoZianShqpaDSTFqHx6CLao2e0ltrWG0l1k4V9l2oJkItJClFxfY8Iz/SRQABju4USqpb59VkB+GxPHv+Y3J29uTVUNVlYe6yY2QPj+Ms1KaSEBVDTZCWnoonMuCDmDU1i3fFS3t+Zyy39Y9v9bW6xqtFoRKu97LZcWNvCK+2iPioNFq8gy6/m9OVoYT0DEoI4XWLwpNAvO1jEPSOS+MsaX0PSLqFqEoJVHC6oo7jO7Z59a28945Lc3kSbcy2cKW1Ar74cW3ElwtVCxGbf4E0EQgRKPW+NC+UfP/t3LgZYcaiIJXP7EaKSum0crgZNJNzwEa7c7bg0UdDjJhrlUTRYxUzNjMYFdAvXcK7c4BkNz6lsoqjOyNK5WfztuxwuVTcjFMDwlFDmDI7nybWnuL6bFk35foojx3fomQRQ2+JOaTeY7UgETgJs1QyIlnEoX+z1ezHZ3L+Ts+XuRPot2ZeJ1MojxWTG6lh9tIS1R0uwOpzsuWcMu7Z27Ip9rKiBglojd3zpnrSM0Mr5+/VprL93EHKpiLc7cI8GmJQZybfHSjp01P5kdx5944M8GXJxehVzB8VyTVooTheEqmWor6jwmK0Oyg0mXC73FN6fIWW9tsXGp7vz/T639Wwlj4xN+V8+ov8ZbDYbJQ0WsssN5Ne0kB6pITFY/Zt1hH8k/nDSA3Dbbbf5bWcBLFmy5KqvffVVPyGXfwAuldX/xwPpLB1Y0rfh1+zXfzOaymHFzWC5QtNRfMhdxRnxFPS+A459dfk5oQjGvgTnN19u7dUXEL9sCP+6bhENEwbSbHOPeuvkUoI13q04V+0lBCtv8yY84CY6P/0dBi6EI1+4K02tsNidmCwO9nUgkgV3xeeJcaluUaNQwOc7z/Jkfyn3dAulxSFEJbQTXPAtUkMfzPpBfDYrhCCVDLVUxPSP9vH5nL5+gxqPFtXzwOguxOmVPivexGAVXUIDeGvrBRQSEeFaOTmVzYx/dy+bFg7htv5x2J1OJCIhedXN5FY1kxKmZlhqCE+vO8Pe3Br+dVMv/v5dtpfhW1KImjdm9GRrdiUGk42kEDV3DU0kXCMjWidjzuAEEkPUfLr7EveP6kJpvZmjhX5u8K0wmOxIRJcXEFuzK7mlXwxhWgUT393rtdIOVEr4ak4/BiYGUVBr5JlW351pvaPoEa2j0milqaqFQKWEcK0Cq93Jxapmn/dsw4G8WiZkhDMiNZT7ll1uNeVWNXO8qIFXp2Xwwc5ciutMSEQCrkuP4JFrUojTq1h6oJDkUBVfXB9ExOE3kKz7HoDuXSZSG/IEurEpLFh6zO/73tI3CtEyP5q7rLkIzqxFHppBo7lXx5+Z2YYLeGNaOi5nEAiE7piQKxGUiFOqpiBqEr+YBnG23EC3PCU2Zz2v/HDO81sVCQX85ZpU7h2RxIe7LhGlkzMlpgXJD/P5ZtDtVEVfS3GjjQN5tdy77Ji7YmPUYA2IQS12IBIKOiQ+epWMFquD1LAAgit2o9z+CHMi+zJh5qM8v8/Kj+cbvLbvGh6A8IoSk93h5FhRA29sOe957KtTJiKCOq6kBColVLcL6C1vNLNg6TG+mT8AuUzIyNSQDqs9PaK0HQajglvTdOV1TiwWEx/s/3gKa1tYe6yUtUdLMNscjO4WyvxhScQFypBI/rj2l8Fku2obt7DWSNcOquR/NlitVs5WGpn9xSEvA9noQAVfzelLcuivRBb9wfhTkJ5O+EeUToFEJPCrV9ApJeh+JX/pN6P8lC/hacOZNTD4QRj2mDtbq/ggiOTuFPiTy+HYFcnshlLCVl5HWFAi3LIagn0zwHLKDaQ66qG+wP97Vp5xB6SOeAr0l4NSBQiwOpwEqTquogWppEjFQoRCEAoFPNlfim7xSHRXimYOCwi8fTvP7LRzuKCOz2Zl8d6tmRy5Cml4dPUJVt09kM2ny1l7rBRBa/tsfPcIVh52C1ifn5TOoXz3iLrZ6vC0IucMjudCZTOf7s5jYo8InpuUjkQkJClUzYaTZTy6+iQPj0lBp5RQaTATG6QkNkjJnV8dpqj+skB8yYFCPrq1N6Eatz3/rf3jGNolmA925LLpVDkvTcno8PgBL+dqhUSEzQH3LD3qc0GuN9p4Yu0pPr6tD7d+fghwp9KXNZqY8O4eT0uwd6yO16f3RCwUoJCIOrywR+kUxAYpEAkE5FZ7k6Plh4o4XhzA/KHuNlKoRkZhjRF5a1svQiPn04khxH47AUyXz4/0/AYiivcQPHcHk3pE8N2py9UIgQAev7YrIRo5rtvWwq5XEVScAm009Jnjrm7+9CySpNFc022sV7WjPYYkBXOqpIHeejsuuRDXkEcQ7HnTeyOhCOd1b3DRFsz17+3B6nCikYsZlhLCPVeQMYfTxas/5rD0zn5sO1fJC6PDEP/0DBTuI6Qun8ZbxnHvsqNelY8t52r5yy1zCM5dww0ZU1h70jdLLD1SQ2FtC1KRkDeuDUG/dSG01CC6uJmIS1t5fupacmqUFLQSdpFQwMQekZQ1GJmRFc3qI2692uReURzKr+XlKRloFRKqmy2sPVrE69N78eZPF/1qz2ZkxbDhhC+peWvred6+qRe9YgOJCVL4THaKhAK6RgTQpy6QLdn+Q1S7RWr8xohUG8w0mGw0WeyoZWIC5GIsNif3LDvKufLL17JVR0rYkl3J2nsGkRz6x5EepfTqi2F/cS5/VpQarNy95IiPY35JvYnH15zmnZt7/ak1Sn/ivlEnAmRinyybNjwzvhthV8ng+V1o7Figi90CDqt7pD4sHbLmQuYt7ugMY8cEAX0Xd5DpFahoNHPfkuNuLc/VIFVDTH+vh1QyEZtOlTF7UHyHL7t9YBwVBjObHxhKqMKF+tjH/h1xXS5UR96jS5AIi93JwhXH6BoegEra8TqgptmK3eEip7KJ6X2imdY7mv2Xarnm7d2EauRseXAooQFSnl6XjUgoYNGsPgiBJ6/ryoniBr7Ym09isIpb+8dS02Thja3niQ5U8OntfQhWS3l63WkeWXWCj3++hEYhZsHSo16EB9w3zUdXnaSu5fIFx2JzsupoCS1WdyWgIzI8OFnP4XaRCzP7xWK2OZg9KB6Z2PdSkFPRRJ3Ryoq7+rPu3kE0W+x8sPOSlzPysaIG5nx1CLlEyPQO4h7EQgExQUqC1HIkIgFxrRdEnVLCvKEJvHVjT27uG8t3J0s5WdxAca2RmCAFLqeLgppmrksPIfTSai/C44GxDvGpZTxxbTLfLRzMU9d15YVJ6Wx5cBgTMsIZ+MYvfF4QBkMecg8dpE2GAx/CT8+6X39pO1mRUr+htHKJkIWjknnph3MsOlJPjVWCLfMOnDd/gytuEATG4+o2Cde8HVRpe3DP0mMe3dO47hGsv0oFY9HefD66rTf9wgUILm0HoPzaT1l3soqpvb0/R5PNwRdnXQjD0ni8h4WJ6cFeGqCsuECenZiG0WJl86xo0n55EBraGUQ6HYT9/CQPDdQBEBog480ZPfl6fwFPfnuG4SkhhGlkpEdq6BWrI0gl4+1tF7hv+TG+2JvPjKxYJCIB/7yxJ6IronAGJAbRM1rHL5d8iVh2mQGL3UlCsIqv5/RjUs9ID+nuEa1lxV0DUErEjOkWhkbu/3f3yNgUalss5FU3ezLWiuuMvLblPNe9s4epH+5j3Nu7WXagkJMlDV6Epw2NJhuf7r70P47A+J9AJRfTv4P8xDCNjJD/A5NnbahusvpYErThWFE9TVdx3f8zoLPS8ydGmFbO9N7RpIYH8NGuSxTVGUkJC2idsFCi/B8E+XkhMrPj59RhIPaT4yQPgH7z4MRS/1qHoY+49TntUGUwYbY5mDciHtTGjlsFYhloo3yE4NGBSmZkxSARCbh9QBxLrsjxmtY7iuI6I69szkEggDWzu9Kn5rLOBIHQrVOSaaDqHKKaHOJTBIxLD+PBMSl8d7KcrPggxEKB39bhgMQgXLjYeLKcjVc4ML+yOYcRqSEcvFTHsxO7MaprKHsu1PDalvM0W+wMTgpm2bz+2BxO7lt+3MsPJ0Am5u2be/Hi9+fIr2nBbLMgFYk6dK5ustgpazCR2CrerG62eHjdh7tyeX1aDx5ZddJrZDxer2T+0ETuX+FuLfVPCEIiFnLt23sYkhzMv27qxf0rjvu0TsxWB7XNFtIitXz0s3833+I6ExeqWpg/NJHs0kavOAixUMBLUzL4al8BVruTV6Zm8OCYZNYdK+P2gXF8ta+AJfsLCVJJmZEVzYQeEbz6w1lu7BvHyovVbD1byUvXRDK8oANbCEBw8SdqwqYyd10pN2ZFU97o4EKFgXtHJZMeqeFEaQMElIC/qBcgbv0Uvp7zEx/vzmP98TIsdgdDu4Tw6DUpHC2sZ9bAeL78pYAeccF0j9CiCBmGZWgXZAIr2XUCXl5czqRecl6f3oPpH7t9mYJUEs750Wi1obTehFgoRGCzuUl5UCLHDBo+/PkSr0zNIDRAxsZTZcjF7gpBsF5PS5frsdRV8MwgKw+N6E2DTYRAKEIpFROkkpBlL0a8/Eb/v6nqHEbHy/nk9j40mW0s2pPnMTn8Ym8Bb83oSXSQEoPRyqAkPeO6h7Elu4I3tlzgbxuyWTynL71jAvnyjr5klzXSZLaTFR+IAFiw9JjfdUW4Ro6wlSQlhqh5dmJXHhzdBYfLhUIiJCbIrf8IcjhYNq8/T3572nNM9w5L4IG+ckTUU2pw8NqOJsamhzMoUc/FqibGpoUxqmsodoeTpQeLCNPI+f5Ux7qj7eeqWDA8icCrVIn/m4gJVPLylAzmfn3Yqz2uU0r49PYsorR/zHH9O2g0Xp08mu1/7riOTtLzJ0d0kJLoICXpkVrsDidSsZDowP9w6VAbDeEZUOHH6XLEU6CL9/86dQTcvAw2LISWVvGsXAfXvQbaGM9mxXUt5FQ0sXh/IQ1GG0O7BNOQFIKu123e0Rtt6DvfvR8/SA5WU9po4pb+sdzUN4ZdrTb3XSM0HC2o59Uf3STH5YKVJ2rpFdINUfkJjGk3U95zIZsvWSlrcTFqkIQ0vQtJlZL5w0O46ZP9GMx2HhnbhRdv6M5T6057Xcj1KinPXZ/O09+eRiQU0C8+CJ1SwsUqt0YHYEdONU9M6EZ1k4VHV51gdzsn5m/qikmP0vD1vkIfA8Ami51n15/hrRt7siW7ktHdQn81cdvcWm0prG3x3BjBPZ3z3o5c3rqxJ5UGM+UNZgYl6QkNkPHV/gIGJwczulsoVruTp791n++9uTXE6ZVcmx7GD6cvt3lUUhHBahkPrzrB85PSafCTJN+GnHIDPaM1PDI2hQaTjexSAzqlhORQNYv3F/LzBff3o6jOSN94PXqVjNlfHvaQrPJGM+9uz+V4YT3PT+7OrC8OeSIVjpW2MFyu7fC9XXItBpuQ2mYrH7V66sglQuYNS+TDW/vw2Z48XDEDEAjFfgm6SxfHxZJyEoPVrF4wEIHA7Zx9z7KjlNab+fDW3mhb86DEYiELll5uoUTpFNyQpkHtaia/WsFDY7rw9raL5NcYSY/U+IxXt6FXjA6lWEh1i5TQoEQITWNboR2XC/659QKvTM2gX0IQl6qbiQlUolNK2JzTyLMb8ggJkCEW1lBhMHu+oxvvH0xYS6V/wtOKkkYLdy/xtZ84V24gXCPneGE9KpkYm8NFg1FI79hAPr29DztyqgjRuA0iKxrN9IkL5HBBHQ9+c4J3b87E1oH28K5hicTrLwtbQwIUhPiRe4hEIjKidXxyWx8MZhtd5I2Iz61HsPgDaKogPqQrH4z8KwdsCkobVbyx5bzn89cpJTwyNoXYIBVySceVZ7lE5HdC7n8TSaFqvp7Tj6I6I2fLDMQHK0kJCyBG98fqjX4vYv1URdugkIjQyv/cf0sn6fk/gtj/Zo80KAFmLIbtz0PORrcRoSoEhj8BSaNA7P9rUuVUY9EPQXPnPrTmUrBbQal3t75k7otdcZ2Rd7ZfZM3Ry6X+06WNfHO4iD33PolSE4ng4Mduo0NVMK5BDyBIu8Ht2+MHSrmYLvIAmk026oxWbuobwxtbzvPu9lyf4Mjvsmt5cs585DYbP0Xfx0NfFXluEsuPug3ZPp+dxD1Lj3mmW/7500Weuz6dDfcN5ttjpZQ3muifqGdkSggKiZAQjZxFs7qwN7eG6iYLN/WNITZIyYvfn6WpdZour6bZi/C0IS1C6yFIV6Ks0UyAXMJzk9yO3HnVzQSppD4ECdzVk3i9isLaFuqNVgLkYmKDlBTVGT2f791LjhKlU5AVF0hqmJpQrYIpmVEsPVDEG1vO+5Snvz1WyuvTe3iRnntGJCEVC6g0WLA5XCilIoxW/6u4pFA1H+y8hFAgYPnBIuKClRgtDq8MNolIQKPJRovFzms/nvcryDXZnPx0ttJDeADWZjdyy+j5hBX6er0AOPvexevbL3/eMrGQST2jcLpAhIv7hidiE1qQTv4Awfp7vImBNgbHNS/x1Cd5VDf5X8HuvlDNghFJnCipIzhAzrnyJkRCAe9MjKKvtICw7H+BpZlG8XhkvWaw5qiC7ecq+eKOvqw7XuoTlCoRCZg7JIHpnxwgNVzNx9e8jPDgR0QHCQhUSnhzRk/+uv6M53wChKhlvHVjT7/aGHD7Cr06chACocivkagzfii7i/2fu0idHKPNwRtbzlPWaPZ8hnMHJ3BjVjRioYAbP97vMTQUCtyt0YfHpPDN4SJevCGD5zdme/2dN/eNYUiy/99wR4gOUmJrKEO84yUEp765/ER1DsJVtzHg+ndZWTaEzJhAD+lpMNr424Zsvrwji+l9ojsUTE/rE02Exk/F+n8Z8cFu/6RhKSF/9KH821DLxEzoEeG3sjZ/WAJBf3J9Uifp6YQb+kS47g0Y+bR7GkuiAl2s39H7KoOJikYL7+/K5WyZgSidgieuSSYjoBmJoRBqzkNQEsg11DYrvAhPG+pabDz8fTkvTlpIcMZ0BA4rLpEUlyYakfTqF6fSeiMCgYAonZzCOiP782oRCmFGZjTDuoQgwD0ttO54Kcsvipkw9GUefu+ITwm+sNbIeztyyYwN9Jo8em5jNkqpkDuHJDJvSDeWHypi5Fs/888bezIiJYQ7vz7sEZp+d7KMkAAZb07vQUDrCuc7P6LOALkY169Ub9r79YRr5Px1QjceWeUbWDl/WCIqqYgWi529F2v45nAxL97QncdWn/REKgC4XC4WjkomVOv+PA/l13V4UzDZHEhbdT1xrQnV/RKCmPKBO29p06lyZmTF+I1M0KukKCQivtpXwKLZWXyyO8/vaP+49HB+Pl9NYrCqwwpI/0Q9G095H2NJvYkDlgTGpt2E8uxKr+ecPW+lUZ/JfSPF7M2t4aezFbwytQf1LRZyKpr48UwFBpONkV1DGJ86lpAFv8CZtWAoc3tDRfelXBCBweSdm9YeDqeLfglBVDQYuVjlvtm+fE04Ywr/hfz8Os922rJjcPIzlkxdz7VfFfL+zlzenZnJm1vOe75ficEqXp6SgQgorDNSWGfk28QYpgz9C5NcGiRKDf/66YIX4QF3C/OZ9ae5Z3gyT6/zrciarHbs8hDE415H8MOj3k8qg3CMe4NFn/vXGN0zPIln15/xEB5wT0p+vPsS4zPCuXvpUa9hCqfLbTXw7MRuFLUa7n0zfwC1zVYaTTa6R2lQy8RE/RsVabGl3pvwtINwxwtMvHUzNSZfLeOnu/N5enxXpmRGsu649/enW0QA03tHIf8VMXEnfhuiApU8Oa4r0ToFyw4W0WyxE6yWsmB4Etemh//pHaY7SU8nLiMg1P3vV3Cq1MD8xUc8N/5kvZSYpuNIVt7lrtiAWz9z7SvsNIzocD/bc6p4fFwqYz/KZ+HIZKb2jkIvbf3BNJa693X+R7foucs1NAfE891Fq3tyCreG59r0cMalhzO0SwirjhTzyKoTOF0wumson9zeh7oWKzvyWjr0AfnhdDlv35TJqiPeXi1Gq5P3duTSPyGI8kZ3VUSvknLX4qM++6pusvDx7jxen+aenPInCp49MB5X63NXrvzBPckS1O5ioZSJ6R8fxPJ5/Xl7+0VyKgzEBCpZMDzJnUAucMc0vNnqhfP8xrM8d306RpuD4jojqeEBZERpiWvXXugRrevwXIQGyOgSqmbbI8MRCaGkzsjYf+32RF38dLaCf97Yi4ZekV6TOlE6txD74VUnsDlcFFQ3s2N+Ck1GMwWNDt472EhuVTMRWjkzsmJ4YVM290iSOtRN2R1OpH5sHx7eVMLzY+7m2lvmEVz4PSDAnDKJ7wtFPPH2SQQCdxjtl3f05WB+LYW1Jr5qR9B2XajmE62cZXf1J2H0s177VjaZuSY9zEen1YYpmVG88eN5DGYrdw0LQiMXMyS4Gfmudb4bN1cSfeYj7hs6nzNVZiK1cj6blUWTxYYAAQEyMWIRDH5tl+clj20q5qtIDV/eomNYFzH//Mk/ASuuMxESIEUguKzNl4mFPDi6C/0Tg1hzpp6eIdfRZX5/xEc/R2AoxRU/BGfq9VQKw3h5SiAPrDjh5Xp8x6B4ooMUnCzxJaF9YgPZfKbC7/QowJL9hTx3fTr6ABk6hYTMdu7Jv4aKBhPNVgcniuox2hwMTAxCLhHhtOkQzfiBoEvrUJ5e5na7bkNLDQpHExWNvguxC5VN5FY389CYFKb3ieGbQ0WY7U6u7xFBjxidx+enE/8ZxAQpuX9kMjf2jcFmd8suojRyZP8pnel/EX/+I+zEnwr5Nc38bf0Zz41fIIC/D9MSsvIGb7dalxPOrofIoR3uy+VyIRQI2PzgUMICZIjaPGTqi+Hst/DT3y5vvPefyBJGkdDrJY4W1nNd9zB6xQay8XQ5N/WNYeanB6lul2G09WwlB/JrWbNgECXn/I8jg5s4CDvo9UtFQsx2J+O6h3OmtJGCWqNPC60N+y/VYrI6KW8wcl33CL74pcDrea1CzImieuYMjufjn/N8Xn9zX7dAu6i2xXOBjgpSEhWkJE6vxGJ3IhIKPCSmyWxlzdHLU3f5NS0sXHGcELWM4AApKw8Xs2L+AK/3iNMrSQpR+RVIPzC6C7GBcnIqW5j43l6f550u+P5UOc9NSuPeEcmUNRjRKqUEq6SYbU5yq5r5fFocWU0b0a59D1qq6alPZuTIZ7mo6EmNQ8ETa0/x3PXp6BQSrk0P4/vTvudlx/kqFgxL4lhRPa9P7U6feD2NJhsCAWgUEupsdtRDe5NdbuD2RQcvB666XGw9W8ml6mbem5nJ8xt9/4ayRjPv7cjlmQnd0LcjmPoAOQ+M6sKeizU+uqXhKSFE6hSMTQvj4VUneWFyBqO6haK/1M4/TK6jqdedNEWPQOC0E5j3Hff01WBSpKJV+t6gfzrr+3efKTPQ981DfHvPIJ/n2qPF4kAqchNnoQD+dVMvlh0s5PV2vjpBSglL5v6dCBVUW0S8uOEczeZyBiXpWTm/P1VNVhpMVlLDNNQbLZ5x9SsRHCDzajNeidIGE8lh6t+tMSxrMPHzhWqeXX+G3nE6np2YRr3Rxj82uQNjxUIBE9Km89iNs4j57ka3j1grBBI5G0/6Hm9skJLMmEBPhEafWB0OF6j+D9yE/69CrZD4GEP+X0DnyHonfhdaLHavMnjv2ECCirb4t+cvP8E18R1/xUZ2DUUmFqJXSS4THgBjtZvwBKfgTJsKyaNBJEGSv4Outdu4tX8Mdw9P4qZP9vP9KfckVbWf0EaDyc6S/YX0ifU/Kgpugza1n3FZsVDAw2O7cOBSLSsOFjGxZySmDvQsbbA5nZwuNaBRiFl/3yA23T+Ej27rTZROzs7z1QSpZegUUp4e340IrbtEHxIg45GxKQxJDqam2YLRj89NVKCSxBC1V9VGIRb63ba62cK58iaqmiw+7bw4vYpFs7MYkRLiEXXqlBL+OqEbw1NCEIvFaBUSZg/0jU/RKSU8dm0qUYFKkkOU6Exl9IzSEKtXIRYJeGJkBIMKP0C7+2+XRe21uWg2zKZL/S72XajkzRk96R6tJUgt49FrUokO9G1jzuwXS1qkhu/uG4RKLuHGT/Yz9aN9TPlwH7d+dpDKJisGk4XH157ySZgHdxhrYa2RYLX/aZhNJ8sxmHy/qwl6Bd/eM4g5g+JJCFbRPUrDa9MyeGFyOjM+3kekTsF39w1CJhbw8JgUBLjf2x6ZxYWpP/JQ2VgGL2tixCoLz1tuodIV6JfwgNuV2V81ENxt0I6eA3erZlhKMBKRgIk9IjhSUOdJtJeIBPSODaRLWAC3f3mEGouYRXvymTs4gSFdgrE4nBTXmzHbHKRFaJj84V7e2nqBjCj/IvGiWiNpkd6GeUO7BLNy/gC+WziYDfcN6XDBcDXUtVh56tvTjOsexjMT0qhrtjLzs4Oelqfd6WLDmVpmfltD2bWfel7niu5LpU3h14194ahkLzdguVTcSXg64Red34pO/Da01EBjCVKz90UwJECGuuG8/9fYTERW7GBGn8GsvkLXo1GIeWRMCrcuOsg/buhOVmwgiraLVM73lM34nqONGrbkW4lQC5gx4wUiz31B4MlPuWPmLO5ZfhKD2U5GlJY9F/3HLoA71HBcehgDEoM4kOed0SQQwP2jkokJVPDC5HQ+3Z1HaYOJx8amMDApmONF9QQHyBiRGoLR4kAk6vgKHxukRCUVUW+08sy6M1Q3WxAIYHBSMF/O6cfxwnp6x+q448vD6BQS7h+VjE4pxWC2se5YCSNSQ3hizUnendn7KifhMsRiMSNTQ/lwp/8x8j5xgcj93DwTgtW8NCWDFqsds82BWib2Sl2PCVIyb0gio7qFsXhfAfVGK4OTg5mSGUV0u7FaZ7scsgitnJvT5CgWLfd7LJo9L/D0nbuQ6S8LWxND1Cy5sz9HC+vZdb6KkAAZ03pHoxALqTFakYqELFxx3Iu4VRjMzFt8hI0Lh1DXYvZ9o1acLGkgTq/y0je1weZ0+h2vFovFlDWYGJsWysz+sQiAH7PLGf7GLgCe+vYUi2b35cZPDpIWEcAHw26C0ysoGvkekxcXelpGFruTFcer2VPQzJI7+5Pgx5Y/VCPj09v7cOfXR7xafFE6BQFyEbMGxPHZXt/Iggk9IqhptjA+I4IHR3dBJhZxQ2uQ55zB8QxJDuZgfh1Wu5NZA+NpstjoEaNlzleH2+0ln0FJev5+fRpysYiTJY08M6GbWyN2Bak/W27gzRk9+GiXhEaTjSfGpdItQsMz68+QW+WOyxjTLYwnxnUlKfS3ZV85HA6PkefCUV347kQZp0oa/YraS+pNHDNEEalPdsfjXP8u+YYANPLLsRpSkZD7RyeTGvbndgHuxJ8HnaSnE78OYx1kr4MfHiPw2o9ICon0tEiKao00ZPZFzyq/Lw28sJrHp89kZNcwFu8voMFoY0hyMDOyYnhzSw4FtUbuWnyEHx4Y6vadcdop6n4vufUOLDILU3pLuVDZxNQVl3hm1GymhKagkku5Y1A8i/cXYLY50FxlRFIjF3Mgr47bB8TTK0bHqiMl1ButZMYEMn9YIutPlLLpVDndIzXMH5ZIZkwgiw8U8MbWfZ59CAVug8FIrYLruof7hD4KBPC3iWkU1hp5Yu1lkanL5R4Hn/vVYT6blcUTa0/x5R19+WBnLs9vPIvF7iQrLpCnx3flRFE9QWqZx7m13milvsWKQACRWgUyP660YQEyhqUEs/uC96SYRCTgmfHdiO5g4i/KT4WlPWL0SmL0StIjNJhtDvRqGYqriEAVUjHSxtyOd2isQ2ptALwrSAnBKhKCVUzv4zbj23G2grmLj7LviZE8t/GsX3Jic7hYfKCA16b2YEG7OAuv4w9U+iSRt2FocjAioYD6ZiuBV1SDmsx27lnmP87ivVt689bW85Q2mChtMLEpMYqxI1/kwyNNfl2oS+pNnCiuQywU0GC0YrI5CVRK0MjFhGkVDEjUs+2R4ew8X0VhrZHByXq6R2oJ1yqYNSiOAIWERXvzMJjsKKUibukXy6yBcVjsTqJ1Slps7pt+i9XBvSOSMNkc3Pn1Ec/7f7WvgFGpIdzcL9bn2PZdqmX7uSqu7xHByiMl/GPTOT64tTfPrDtDaYO7nSUTC3lgdDJ6lYRl8/rz4U634H/mZwc858XpcreRs8sMLJ3Xj4QOoiHaw2x3Ud5oZnKvSHZfqCYpVM3nfgheG7YUOJg48W3QRCDQJ9NTa2X9fYOparJgtTuJClSglYsJ/k8ZtQItZisVTVasdicysZDgP7kwtxO/D52kpxO/jpYa2Pw4ACGH3+Ctccu4aUUhFruTs+UGqq8dhF6uuyxibo/hTxISFEQvgREGup1/T5U0MuHd3bTpec02JyeKG0gMUZNfZ+beb7I5V96ETCxkfEYEk3pGsvrugSilIs6bYmmqNhKulfPKlAwQQEGtkV0X/Fd7bsiM4qt9Bby/K5dBSXpW3T2A8xXNnK808LcNZ6hqsiAVucdzn153GqcLH42D0wUv/5DD57OymDc0gT5xgXy1r4Aqg4Ue0VoeuzaVaJ2c2784jEQkYHByMHqVlIJaI0cL6ympN1FQ08KDo7sgAh4c3YV7RiThwm3+98rmHHIqmlhxV3/CAqTkVjWxaE8+289VIRULmdo7iul9or3aWwCxehUv3ZDBluwKlhwopN5opX9CEA+OTiHyP2B2Fhzw2y/2ItnVhaKVRiGLf8xhcq8otAoRRqsTgUDgVQnpHR/I1oeGYrY7uVDZQSwKkFPezOwB8X6fk4qE9E/U82N2hY89gFwiZM7gBGZ8tJ/XpvegZ5SWoHZ/Y2KI2ksk3B4yscgrKuHxzWV8O38SP+/0422Fu/oVpVMxf8kRz3i1SChgWu8o7h/VBafDjkzoYk53Gagi3YacrYgJUnHn4Hgm9IjAbHOgkIioaDRz77JjlDSYSIvQ8NCYLmgVErqFB5AeqeW+5b5kbcf5agYk6kmP1HhM/9qw7GARj45NYeWREk6XNvLCxrPcNzKZYLV7Ei9Wr0QjFxOokhGmhWcmdOPhlSf8fjalDSaOFzX8JtKjkokZkKjH6XJxuqSRrPgg9CqpV8u8PcI0CiqC3JqfwEYT4VoFarnUY8z5n0ZxnZF1x0v5fG8+jSYbapmY2/rHcuuAbv+V9+vE/z46SU8nfh1F+y97m9Tl0X3/o2yZ/Qarzpk5Um7jh0IRSbM2IVk/H6rOurdTBMKY593RFYDBYufeDlbR4I6nqGm2sHD5cc6VNxGkkvLPG3uy4UQZC5YeZXKvKEakhvDBzlyyywyEqGXc1C+GfvGBpEdomHzFVBHAmG6hSEQCT4hnUZ2ReqPN5wZhdTjZn1fDa9N78GxrsKY//Jhdwdwh8Ww8Wca8oYmkRQQQpVMQFajkUnUz3SIC+NvENLafq6Ss0czAJD33j0rm9R/Pc7SwngdGJaFRyiitN9FstLLiYDEBChEvTE5HKBAgFECD2c70j/d7CWrf25HL1uxKPpnVx8vsDVrbUUMTub5HBC7cN9aQdqvegppmXLjJwL8zQvyboYtzG0r6Ib7OqH78WGDjw11FfLo7jw9u7c2BvBp2X6zhzWk90SoluFxurce72y/y7MRuxAZdzom6EvHBSvRqKQMT9ezPuxw+K5cI+ejWPgQpxbx4Q3f2XKzhq30FNJpsDEzUM71PNP/86QJVzRbuWXaUHx4Y6kV61HIRN/aJYeUVk3zgFt23b0XZnS4OFDWjUYj96skevSaFR1ad8BICO5wuVh0pQSN3t4vOlhuYPySefpH1RMgslLhCsDndwvo4vYokuYSyBhOf7833qobsu1TL/rxalsztxz9u6M7i/YU+79+G1UdLuCEzyof0NBit6AOk3DU0gRPFDRwuqOfpdacRCuD7B4Z6EexmsxWj1eHltH0l9ubWMCI1hNJ6EwFyCfHBKpxOF05ciIXebdbRXUNZfqiIpFA1G0+WMSMrhne2+09iv75nJKPe2oXR6qR/QhBvTO/hdxLLZLVT1WRBJBB0WOH8NVQ3Wfjql3w+bzeE0Gyx8/HuPKqaLDx2bQqRuj9vplQnfhs6SU8nfh1tY6MiKTisiEv2Eb98KI8mjsEY0xVZ3/lIgmLg5uXu3rvd6iY9miho9dxRSsVE6RSe8vmVyIwNpLbZ4rk4PzsxjX9sOsul6hbSIzX0jtN5kabqZgvv78hlbFoYD4xKpme0lvEZERwrrKfFYmdgUjDFdUb+tiHb85oHR3fhy1/8l9KNVgcNRitVTf4zZQAqDWaazHaqmywYLXYitAoPkZAKBQxJDvby8NmRU0WATMw7MzOpa7agUbpvsFGBCqICFURq5BTUmfjr+jOcLG4kVCNjzqB4vr1nEOPe/pn2EovzlU0cL6r3IT2l9Uaqmy2sOVpCfYuNMd1CGZCox+pwUNZg5rM9eey7VEtGlJZHr0klXq8kXPsbTNoM5W4Cc3Gru72ZNNJNbIIS/G+vjYIZX8OKm9w+T21Qh1E64i3e+8ZdJbE7XTyy8gRr7xnIzH5xLN5XwNpjpZhsDtIjNdw7IpnNZ8q5Z0SSX4PHtjHrBUuO8vqMnjSYbJwoaiBELSMtSkOwSopWKSVI7W5LGkw2lDIxZ0obuWvxESx2JyqpiGEpIdQ1W0ls5xEXpVOycFQyqeEBfLYnj/JGMylhat6Y3hO5RESPaC2n2o12ny5pZGa/WF78/pzXMWrkYsRCYYeTT8sPFfH6tB6sPlrCg6tOcduAWB5IMyOS2xj7WS5Z8ToWDE8mIUhJs83BF36+sy4X/GXNKdYuGOgT/NgejSabT9hl79hAHh+XSm5VMzaHi1v6xfLKlO6YjE1oVCqabU7ya5qJ1iqQSESUNVg4VlRPkEra4e8jXCPn/R25fPFLAZFaOc9OTEMsErDmaAnTe0eTEaMjXCPHYrEjFQuZ3icaF/DhzkvcPjCOIcnB7M29fL4FAnju+jSyyxoxWt0LroP5dTyz/gxvzuhJmOYysc+vaeabw8VsP1eFQiJiZj+3MeLvHVNvNFlZcqDI73PrTpSyYETS79pfJ/6c6CQ9nfh1dBkHcYPBWOPOrXJYYNMjiC5tJaCpGAbNd2/X0Q0Rt9D30bEpPLLa12wvPVJDTJDCY8gWqZVjtjk8uqFb+8fx7jb/K8GfzlYyZ1A8gUopOoWYST0iUCskPLr6JEdawzUDZGLuH51M79hAHlt9yuv1UToFswfGMbhLMCargz6xOn7sIPG5V6wOl9PF8rv6E6ZReOlc7C4XL2w66+Ph02Sx8+aW83xwq2++WXZ5E3O/PuxpGRTWGnlu41mu7xHB6gWDmfyBtwPxplPljO4ahqZ1TLS03sjaY6UeX5epmZF0i9CwaG8+285VopKKmdQrkok9Innq29PM/OwAH9/a59dJT2MZXNoGGx+43Ov55W2IyoLpn4Mmxvc1LdWgDITb10HJYRyGCmqDelOm6sbCb6uobecs3WJ14ELAwytPeFUgsssMLFxxjPdmZqJTSnlhUjovbz7nmdJSy9wVHL1SgsFi55FVJ5k3OI6pmVHorshUKqprob7F5jXKDXD3sER6xerYml3Jhz9f4tqaZvon6D2TPzFBSmYNiGFU1xCEgEsg4FhRPWuO1fPM+G7cuuigp+KTXWZg7pAEBiXp2XfpcsUpWC2j1k/1pw1Gq8OTSQVuN+Xb+w0k2XqeDQsHUdFopqC2hVCNjJxyg9+WErijO5osdkamhnpiPq7EgES912ecHqnhrmEJ3PHlIa/pt5AAGStvSSD8+GcYM+/iQoOY6iYL8Xoli/cXcLGqmRv7xvD+Dl/tlkAA12VEMO0jtw6urNHMvcuPsXzeAPJrWrhryVGGJQfz4tQMNp0s46t9BThdLj6d1YdFs7N4dPUJ5g1J5LYBcRwvqidILWVUaih7Ltbw9++8K69uWwGrh/TkVTdz0ycHvKptp9c1MiAhiNdbq0K1zWYaTXYECIgJlCHuwGG+3mjr0JLC5YIqg5mUTsH0/3l0kp5OXB31BbD1aTj/w+XHQtNg+hew/h4Y+6I7gd0PyhtM1DRbyK1uJlQto098IG/N6MkbW85TYTAjEQmYkBHBI2NTUEiEqFunt1LDNRwrvJyjo1VIOuz5gzsNfHLPCH6+WMMjq07SNSKAv47vRoBcgtXuJEAuJkIr5YfTlbx4Q3f++dMF6lqsjO4Wyk2tpfWXN+eglYv5ZFYW285V+RjnBSolZMYEEqSWEe9Hu5Bb1ex3hBrcUzBXPldQ08wLm/yLdTeeKmfB8CS0ChGNpsvlHoVYhLjdzbLBaPMQngkZEdw5NJGZnx2gvl1r7Gy5gQGJQfx1QhrPbjjDP74/S0p4gN+pIg/MDd6Epw2lR+DQZzDiCe/HDRWQ8z38+KT7/2HdyZ/2I3O+OkxxnW/rJUglpdJg9mm5gPstP9p1ifEZEaRHavj+/qFUGswIBQL3pKBMRKBSypd39EUsFBKm9RWw1jZZeHd7Lrf0jyVCK6e89bszZ3A8IqGAIwX1jE0LQyBwV2uWHCjkvZmZHk2KWCwmPlhNYW0Lj606yeHCNvIsYfWCgbz90wUOF9Z7vHLGpoVxS79Y9ufVIhMLGZ4S4kVqroRSKsJ5xffreLGBZFkBr+4UseN8NY9fm8r3p8roGq7pYC9umG1OhqUEE66RU2Hw/o3IJULuG5nEp7vzkIgE2BwuHhmbwqOrT/p8H6ubLDzyfTlvzXiEr/YVUtZopm9cEHqVDJHQXWW5pX8sw1NCvAiWSCjg9Wk9OHCpxmNk2XYe39l+gUfGprBg6TH+cUN3XtiY7SUwn/rhfhaOTGLl/IHUNFuw2JzcNiAWqVjAwFd34vT/c/KkeDeZbHy2J89ve/FAfh1Wu4OLlU188vMlfr5Yg0oq4uZ+sYzvHu63CqT0MyzQHgFyCXnVzZwtN3Cpqplr0sMRCwVklxuQiYSkhgcQrJZ5FiWd+HOik/R0omO01MCuV+H8DzhjB1PV8x5sMj1SUyWhu15HMP0LULkdnO12O8UNllbDQbffyCOrTnppLu4dnsAdgxMZ1iUYh8uJ0epE39qOOF5Uz+4L1QxM0tNitZOkvHxREosEHQpMwb1Kzals4tXN7rDRnPImbvv8kNc2Ox8dzs7z1dS2WHl2YhoBMjE6pYSbPj3gGZdtNNv5YGcuH97Wm7d/usjZ1pTsQUl67h6WyNlyAzGBCgprW3xExR0RnjZY7U4Kalo8FQWj1eHRGvnDkcI6rkmLYHU7A8Kb+sWgbOc98mO2e4pMJBQwf2gin+7O8yI8bTiQV8dNfWMJVkspqTfRYvH1OfFCzsaOP+xjixFmzfV+zNIIP7VzOa48g8jl6NDXKCVMzcEr7APaI7vMwH0jk7njy8OIhAJ+fHAoQoGA0AAJAYq2FmHH2op6k43vTpRhdzj5y7WpPLLqJBKRgLHdQrE74fO9+XzxSz4ulztt/tGxqaw/XsqsAfHo22l8jhbWewgPwIe7LrHxZBlPjOvK0xPSUIhBKhYiFAh4Zv0ZMqK02J1Olh0sYs2CQR22c2/MimHTaW/3Z5lYSItDQrnBTEKwCq1CwjPrz7P5waHIJUK/36/0SA0tFjvLDxaybF5/3tl2kc3Z5didLgYl6Xnyum6EBkh58rpU7h2ZDC4XVU2WDoNjT5Q0kldr9LR4tp+r4qOfL7F0Xn/259Xx2OqTPDI2hVv7x3K6tBGVTExmjA6pSMCjfiq4Z0rdQaZdQtQ0mm1+J+re33mJTafK+Xx2X+5afJi8GiPr7h3UIeFpM6kEqGmx8GO7ScqQABk39Y0hOUSN0+nE4RIw/aN9nsywauDVzTlsza7kXzf19PkNq+Viv6JvcBt7BsjFTP94P3UtVhbP7cf646V8tifPU92VioS8MDmdsWlh6NWdE19/VnSaE3aiY7TUwOk11Iz/jK/jXuL6zQqGLq3nhm0aVkc8Qp1dBnINxXVGlh4s5pbPDjDqrZ+Z9cVhdp6v5q5h7nZXXJCcnY+NoFukjsfXnuKxNac4mF+PUCBAq5RS3WTmve25fPxzHnMHJ6BTiBmcdNnT5Whhvdf/20MmFtI1PIAGo71DvcGI1BAcLicPjE7mQmUTD688wZHCOt766YKPP8ieizW8sPEsz01KY9GsLDbdP5jRXUOpaDQjEQkZ+/Zunl1/hjOlDRgtl28eqWEBHaY4h2vkuHBx2+cHyat2TxRdKe68EiqZBIPpMjmZ1DOCuCvSjdvIy6AkPc1WO9s7GNMG+Pl8NX3i3CaN4qv4DQHQ3PF+sBh8k7xrzvuYU0bnfMHT4/1PvIxICSXwKqGECokIe2ub4dr0MBQSEdGBCg/h+TVY7Q6sDifrW4XtH9ySyXXdI1BIxTzwzXF+vlDt4XQH8+u4d9kxsuKDMLQ7n9VNZr9OxcX1JhauOM7DK0/gQMDE9/dxurSRf97Yk3i9Ep1SyuPjUglSS/jyjiwv/xihwB1pkRGlZUv25Zu1WCigR6SaWnUKORVNTMmMYvkhN/FYf7yUV6f28DEBDJCJeXlKBq/9mMPKIyW8seU8T16XypaHhrHtkeG8Ma0HGVFaAlVyQgIUJIWoSQoN6JDwtOHKyIlGk42/b8jmyXFdsTlcvPbjeR745jjbzlWy8nAxZruDR9ec8ruvcK2cFquD+0Ylc7igY5JbUGvEYneQV2PkmrQw6pqtDErS+912XHo4QcrL3x1h649uUs9IXpiczoFLtTyx9hQSsZB3tl3wEJ72OFZU79eVPE6v4l839SJK593+DVHL+PDW3ryx5Tx1LVay4gJpttj5ZHeeVzvb6nDy5LenO9QtduLPgc5KTyc6hq2Fll538lFJAp8fujwZVd5o5vEfSnjMKuFmhZkv9ubzZbuco6I6I4+tPuVeZY9NYVLPSB5fc5JDBZdXzT9fqCYzRsfbN/fC6XJxrsKAyebg/hXHuLV/HAFyMS/d0J2/bjjDN4eLeO/mTC5VN3taFeCucLx3SybvbLvAxJ5RiIQCLxLTPVLD69N7cLq0kbe2XiRYLWXx3H7kVjUjEQk79AcpqTex9EARg5P1JIWosDtdLNqbT88YHV/M7sv5iiZ+Pl+DSChEJbXidIFCKmTu4Hg+31vgtS+BAP5+fRqf78mnpN7E8xvP8sqUDNRykY8WpA1ioYBeMTq2ZFcwsUcEN7cmuccGea9MR3UN5YtfCghSSTHbHIiu0lIRiwQ4rS76xQcS8GtOtUmj4PAi/89F9QHRFYTFz7JcsvN5Bt06gsVz+/H2tgucLTcQpVMyf1gi8a2rZqEAv5lok3tFsvlMBaEBMm7uG8uNn+7nxcndyYoPRKP49VF8uURESIDM3bJZdZIx3UJ5ZkI31h0v9XvTN9kcfHeijIfGdPH6kxxXCYi1O53klDdR0+yOA9lwopTBScFoFBJWHS4hQiNjVKKST27vTZPZjsnmRKsQs+poMX9Zc9KrkPb8pDSCLCW8dqwFl8utCWoTQX+yO48nr0tlw31DWHushKI6I5mxOsZ1D0crF/PqtB4IBQJUUhGRv2E672qj3hqF2K9J4LGiesK1cs/5MtucnK9o4v5RXYjSKijooGI5b0gCX+/Lp09cEEGqjs+bQADiVkf2m/rG8MSaU7w6vQcysYid590E3N1GDOfxcakeT57QABnX94zkQF4tw1NDuHfZMc/nGqdXseN8x+R906kyRnX1zRlMCQtg6bz+FNS0kFPRRFKIii5hATgcTo8/193Dk/hwZ8e+VEsPFPKPyQF+vbU68cejk/R0omNI1dSkzuSrr/0nc7//cyHjesSy+ID/kdkPduay87Hh7LlQ40V42nC8uIFfcmu4rns4UToF5Y1mzDanZ0R3Us9IvryjL2fLDJwtN/DFHX3JrWpm/6VaYoKU9I0P5IOdl9h5vgqdUso16WFsbs1z0inFvHdLJi9+f44jBfWeCZclB4p46rquZMUFtmpL/FeHInVyhnUJ4fmN2fyYXcmdQxJQSEVewuM3tp7n1v6xxOmVrDxczCe39aFHtM7j7JwWoeHB0V04U9rIxlPudsbui9U0W+2khAXw9+vTuW2Rd2aYQACvTM0gUCnmXzf2QCQUopD6/kzLG01EBSronxhEQU0LLRY74zPCWXHId9wa3NWuN348z6ez+vz66HpoNwjpCtU53o8LBDDmBZyaGKDWe3uhGJzeq+rwZSMJz5xF4s0vY3MIEAoFyMVCtudUoZGLeW1aD55Ye8qL+KRHapiSGcWxonqm9o7m6XWnKWswc/fSo2y6f8hvIj2xgXIeGt2FZ1rtB7adq6JLmJpD+b7fwTYcKaz3qnKEaeVM6hnJoXz/FYopmVF8e/xyJcjmcHl5Ra0/Uc7w1F7Eqy+fO5vNxq394kgL1xAaIMfpcqGUighVS7AJNXxzcj8AhbUtdIsI8DiIv7r5PHLxRe4alsDorqEEB8hYtDuPm/rFMPXD/ahlYlbc1f83jWqrpEKm9Y5i7THfxPUFw5JYedj/98fhco+ynyltxAVkxug8i5XXpvXgr+vPeIJ0BQKY2TeWpBA1T357mq1nq9j2yDCPruhKjEgJQSkV8v0DQ3A4XNS0WLl/+XFmDYzj1gGxWGxOZBIh+3JrOFtm8GivVDIJdwyKp3uUhre3XfAikk6nC6nYf1sQ3Pq4jtBmmjmylRQ5HA72t2vHBshFXouvK1FSb8Jkc3SSnj8pOklPJzqGKpSqmnocTt8LJLhXfHUtFr+rQ3DrVmx2l1/fkzasPFzMkORg7h2RxNx2jrIA350sY9PpMjY/MIw1R4v4/lQZ1/eIZPOZcs5mG3h9S47nQrctp4oV8/pzqaoZnVLK3yamsTe3li6haib1jMRkc/DKDzk0mmy8sjmHXX8ZzpzBCR4d0JWY3CuKeqOV7HIDATIxfeIC/foMLTtYxAe3ZHL7wDhmLjrIi5PTeWtGT5otdioNZp5ad5q8dqV0lwssrRfi1PAAVt49gF9ya9ifV0uEVsG03lHoVVL06o4dZgtrW3jx+7PsvVjDGzN6klPeRKBSynXdI9hzscZnVPr6HhEEKaX8dWK3q443exCUCDNXwO634Mwa9wh6RE8Y+w/QJ/puL9XAqGdg2/PejwvF0H0q0UHeEy+39I/D6XRS22Jly0PDOJhfS5AMuoSqEUvlLDtQyIGCOs6UXp68sjlcrDlawpPjUhH5SWEHwNIEAiFiqYphXUJ4YXI6726/SE2zlfoWG/qrVBsClRLa7lE1zRaMFgfXpoXx3YkSDhU0eG0bE6RgXPcIllzFH0cuEeByOSmtb0EjlxCgkCKRSFDLHUhEQu5ddszTegmQiXlpSneeGpfKKz+eZ+2xEv5xQ3fOlBow2xzYnS7Mdifv7biEWibmvZmZWOxOGlvcrx+Y5E4obzJbCZC7/0a73U5RvRm704VIKCBSI0MhkxAdpOKhMSkkhar5Ym8+Nc1W4vVKHrsmlewyg9fYeBvi9EosNgfXf7yfzBh3TtcPp8pJDFFxXfcIqprMfD47i9IGM0arnb7xQcjEAmZ9cZhApcTdWpQIeWN6Tx5ZdcKL5EZq5TwzIY3oQBXRgXC+ogmBwF19W3O0BIEAuoQFUNVk5lhRA2PSwryOLT5YhdFqp7jO+zv/y6UapvSK4usOztGU3lEdnjt/CNNcrnSVNZjpHqXxEY63oXfsb6imduIPQ+eZ6UTHUAaiUF9doCv/ldWMw+XC7md11wa704XT6UItF/PQmC68vyPXMzkllwh5eUoGEpGA1HC3wPBoUT2PXpPKT2fKOVXSgFAoYFx6KPeOSOad7Rd45+ZeVDVZmfbRPs/KE9yam7dv6sU9y45itjnZfLqCfglBPi0mgQCendCNX3JriA5UeMwGN53yX+0C+HxvAdf3jOCN6T14a8t5Xp7Wg+kf7/e7bWiAzMs3JTFETWKImpl9YxFfJWiyDUW1LTyw4jgnW/1iFi4/Tr+EIAYkBhKilvPSFPfNcs/FapRSMbcNiCUsQM7ja0+SXdbEy1O60y/Bv17CC0GJMOYFGPIwuBwglkJgqyWB4wqBsjYCuk+HyN6w731oLIaIXjBoIagj/e5eKBQSEiAnxF5BF102HFsMZ51Up8xkaGQXlh/2bZnkVrXQYnWgUVzxnavNg7JjboImkkHv24kJSuam3tEMSXZbEcglQqqaLGw969+OYM7gBEQCIUcL6/l8Tx5F9Ua6hgXw3KQMrHY7T6w9g8Pl4voeEUzuFUWoWsINmVF8uMs3+2zu4Hhu7BvDG1sukF1mIFavZPbAeEIDZFQYzDx4hbNxk8XOgytPsP6+wcwdbEEtF6NXSXlzRg8EAgGNJhsf7MxFLhbx+LhU3tx6npenZPDMuhPseHQ4hbVG/rXNrU+7ITOK9EgNu3Kq+WBXLpUGC1qFhFkD45iR5W6TxgQpuXNgPNd1DwenE5WrBZGlgV9yfQmxUOD2zPr4Z/ffebzY/b0TCODmfrH8c9sFXp2awfA3drUSRyEvG8+x+cFhbLhvME6XC51SilwiQoiQzQ8OZdOpcsoaTAxKCqZ3nA6FWERFgwmpRIRWIWZocjBKmZhpvaP4Ym8BX+0rIFgt45Z+sUTrfO0WRH70ce9sz2XT/UPYfbHGZ2BgZr9YQn+H2ziAQgxTe0ez5mgJb/x4ng9v682OnCqf9qxKKmJK7yjvAOVO/KnQSXo6cVWoFDIitXK/I+MpYWqUEhGhATK/IuLkUDUKsYgJPSI4Xtzgd//jMyL4al8+X+0v4oZeUXw6K4sGo5VgtYxwjRwELs/ERBvUMjFfz+3LloeGIhAIqGuxUd5o4Z4RyUhFQhYsOepFeMBt7rf6aDE39Irim8PFNFvsnoTzeUPtnCxuQCEVkRoWwLrjpXx30k1yekZreXZimo/fS3vUNFuw2J08vPIEb8zoiVQkYFTXEHbk+HqnPD4ulfoWM6DG3nqMYrHwNxEegNoWq4fwtOFQfh23fV7Htelh7gR3jYKx3UIRCgUs3lfA4naGaynhv8NnRK13//st0MW6/wWnus0s5VpQ+YrPC2tbPFb/d/ZS0vXAEwjzdnieD7m4lcFR/fhi2tvcvKLA67XdIgJQXZkBVpcPq2dDRTsx7dn1kHYDsjHPkRhy2TtKKhYyb0gCi67Qck3NjCIrVseuC9U8+e3lWIkzpQbWnyhj0ewsltzZD3ARqJBQ0mimtNHCjKxoRAIX7+3M87xmZGooY7qFMem9XzyeL0cK61l3vJTl8/qz9ECR38E4lws+35PH49d25cXvz/Hu9suakUitnI9u68P5yiZe/zGHe0YkU9ds4b1bsnhx0zm251R57edcucHr9Y0mG+/tyKW4zsgT47oSoVMgk4lJkLXpezRggPtHqOkdF8jne/OpNJjpEaXl/tFdOJhX5zN55XK5HaZPFjfgcLqY1DOSLmFqGow2tmVXcq68ket7eldTIgIVBNmkzBuSQLPVzte/FPDo6pMEKiXMHhTPtN7RhATIeHlqBieLG7l7yVEPqSipN/H6lvOcKmnkuUlpXl5TAXKxjzu31e7k3qVH+eCWTM6UGth8pgK1XMTMvrFuF3U/5OlqqCy4wIOjuxGpk/PVvgL2Xqxm0ews/v5dtqfKlBah4eWpGcT+N53PO/E/Rifp6cRVEaWR8uGtfZj1xUFPsjGAXiXlmfHd+HR3Hu/NzGTOV4cxthtR1iklvH1TL+wuF2O6hbHsYJHPiismSMGYbmFc+/ZuANafKGX9iVI0cjFTe0dzS/9Yz8REezRb7LzxYw7PTExn/uLDnv56uEbOo9ek+A2ABNiaXcl7t2TyzeFihqWEcOtnBzDZnMwbHM+wLsE8s/4M5yubvG5KJ0saKW0w0idW16G+o1eMjouVTdQbbVQbzHQLD+C5SemM717Hiz+cpcFoZ1x6OI9c0wWFRIRSImJnThVrj5UgwL2CTApR+XiHNJttVDdZKKg1Yne66Bmt4VJ1s99jANiSXclfJ3Tjx+wKj39Pe2REaQn5b4/SaiI6fKqwtoXnN2azI6eaOL2SJ+JzvQhPG8Slh+jSdJC0iC4e2wCZWMiUzCjv1pbdAqdXexOeNpxdD5m3eRlmxgSpuGNQPFN7R7HjfBUOJ4xMDSFQIcVkd/Lcxmyf3didLp769jQf39aH2hYrVruDv23IpqrJQphGxoLhSfz08DD+/l02comIp67rytyvD/uY3LlcbnKaV9Px+QvXKvjilzyPFUEbyhrN3Pn1YZbf1Z+PbutDToWBrWerGJ4ajEwi5N4RSdQbrfxwuoIpvaN4dJXv+DjAhpNl3DMiGb9nSBNBJDBKJiEzRodACCKBgNlfHqbQTxxIcqiaqiYzIa0VE5HQ7Slxa/9YpmS6yc75cgMahfsW4wIidUrMNgebTpV79FbgNgV8e9tFLlQ289R1qQgEAv7503m/Ivcfsyu4b1SyF+mJ1Cl4bpKvPi6vpoXC0nJuSA1hZGoGF6ubeG1zDtVNFmZkxXBT3xgi/ZAfl8tFpcFCTbMFm8OJXi1FpdERqZWxYFgik3tGYXc60SrcYaxmmxORQIBICHqVDMlvXMB04o9BJ+npxFUhlUpJDRGwYeEQ9uXWcLGqmcQQFSEBMp7feJa8mhYcLifr7h3MgbxaLlY10T1KS7/4IGID5R7306/m9GXdsVI2nCzD5XIxsWckUzOjuNdPUKLBbGfVkWL6xQcxqWcUP531ncK4fWACsz4/6OVLo5aLr2piaHe6cLlgSLKeIJWUMI2CI4X15NYYOVbcSE6F/5DLd7fl8umsLJYdLPIifuD25pg9KI41R0v48o4sxCIhf//OfVPsFx/EmgWDkIiE5JQ38dL3ORitdsamhTEsJYSCmhbOlBnYeKqcYSnBvHhDd8+EVl2Lhe3nqrwEoj0iA3hifFqHf59IKMBsczIlMxKHy8Xne/JpttgRCmBMN3cV6Epvkv9NnChu8FS/JqQGEHr2rQ631Wd/zdRu/+RsuYFIrZx/3tiLKN0VOqfGEji5ouM3PPY1xPZ3u4i3ok3smxap9dp094XqDkWv5Y1mHE4X874+zKezsjz+Q5UGC89vPMv8oYn868ZeCIXuba/Ul7ShqM5IaliAJ4D0SoxICfbRtbWhptlKcZ2JnHIDb2y9wN7HR1DaYEYlE/PzhWrCtXJenpKBWir2Wny0h8sFJfVGUq9S7dOr5egUEs6WN1PbYqFreIAP6REK4IFRyby97SJzByXwwc5cRnUNwemCmZ8doNJgQSBwC5QfGpPCG1tyMFod3JgVw4BEPe/v8O+u/sPpchaOTEIoEPgdKW/D4Xx3rEp7pIYHsH5uGgdyK/m5xEmCBiZ1kRJ54k2qgh5i6jcVXtXod7Zf5LuTZSyf15+IdsTH7nByurSRBUuPeoYcZGIhC0cmEhJhQ6+WkxR6eXqxqLaFk8UNLD1QSLPFztAuIdw+II7YQBkSSadJ4Z8RnaSnE78KhUJCgkJCi8XOhpNlbDtX6SWWXXusjGl9Ypg9KL7DfcTpVdwzMIxJvSJwOMFid7L6aAk5HdwAjFYHCMBmd6KRi73IRkiADIPZ5kV4pCIhEzLCGZSo518dHEOEVk6IWsbTE7px79KjjOsewR2D4jmQV0u1vWPtksnmQCQSsGL+AF7YeJaDrRWf9EgNz4zvxoYTpdQ2W3G54EhBvacVcKqkkTHdQvl6f6Fn3BXgcEE9X+8r5Ms5fZn03l7Mdie7L9RwtLDeQ3pK6k385Qr/k1NlTUTq5H7ddwHGpYehkYtRSsXMzIphcs9Imsx2FFJRqyv17yvp/ydR1mBiabspP6kQcFg7foHDwtRe4YzKTCVAJiJE4+fYXS53tacj2M2++qMr0NBipaHlKvtoeyvcItblB4uYnBnl9bd8ta+Am/rGIBR27OkI8MPpClbc1Z/vTpb5VDGEAvc00tVMLovrjUzOjGRCjwjKDRZu//yQp6KUXWZg+7kqVt898Kp/R4D812/EIpGI6mYz9y49xpp7BtE/Qc8Xv+RT3WQhM1bHnUMSWHuslG6RGrISAvn5YjUysYj5S4569uFywc7z1eRWN/Po2FQeWnmCY0UN9E8M4sGxKTy51n86/YXKZjKiNFc1I1XL/PwNdXlErZnGNJGUaSGpUFMHx/ZhTxjDqrNmv+33/JoW9lys4ca+lx3lyxpM3PLZQa9qscsFyw+VkBqm4Zrul+tkhbUtvLDxrFd78VJ1C+uOl7J6wUBSwjpJz58RnXW4Tvxm6FUSJvWMpLrdBUQqEvLMhG7EtRuXbTRayatu5lB+HYfz68irbqbJZEFmrkRsa2b+kqPcv/wYfeMDO3yvpBAVFY1m6oxWTzxFG0LUMi8DsKHJetbeM4is+CBEQgFZcf73+/i4VA7k1TD+nb1crGrhvR25LD5QSK9YHcNS/JsfAoxJC6Oy0cTf15/h+UlpbH14GJsfHMrU3lH8Zc0pFu8vYuvZSuZ+fYTaFit3DnG3VGICFdicLi/C04bSBhNL9hfywOjL3jDLDxZR2WjCZLXzVTvfo/bYdLKML+7IIuKK+IWsuECentANg9nO61vPM/vLwzyz/gxVTRbkEtEfSngAbA6nVwViW76Jui7TO9y+sctU7t9QyB1fHuZ4cSMVjX6qJwo9pFzX8ZumT3PngXWAhhYrB/JrGfP2HqJ0CmQdtCXCNXLadKk55QbirzCJtDrck2gSoRCNXNyhSNbhdKFTSnh1Wg8v35oglZRXp/WgwWRDe5UIg2CVjOve3ovR6uDJtaf95kQdLqijZ7TWz6vdIvqQgF8f+XdvK8dsdzLxvb3klBtYNKsPmx8cykNjulDVZGHhyGQeHZvClA/3cfewxA6nIIvrTJjtDsI07s/kYF4dLhcdamq0CglahYRhyf5/jyKhgD7+ft8OO9TluW0Wzm6Agj3gdNAQO4ZN5ztuKa49VkJzuwXVjvPVHsKjlIp4enw33r8lk7uGJmJ1uMivbsZqdZP18gazF+FpQ6PJxts/XaCyg+muTvyx6Kz0dOI3I0KnZHz3cAYm6SmoacHpcpEQrEarEBPSahhW3mBkb24tz288S3PrSK5GIeblGzLoFxdNbPYHfHX7PN7ZVYheJSM1TM35St+L0j0jkvhoVx4vTelOTbN3RaC80UT3SPdq8KUbulPbYmX2l4eoa7ESE6jgo9v6sPJwMauPFmO2OYkOVPDI2BT0KhkPr/TWOxzKr+P2AXFE68Qkh6rJrfI+liCVlNkD45n84S80m+0czK8nUCnhu5Nlfm31lx4o5PPZWSzeX8At/WNZd9z/uD/AxlNlfHFHX8//TTaHhxwU1/nqKADe+ukiGoWE5fMGUGkwU9nkji3QqyTUt9i48ZP9l8lFJey/VMusgXHMH5r4m3xc/lsIDZAzqmuox+L/TKmB4lGDCdInQ+0VRm/aGMpjJ/LLdrfg+O6lR1k+b4BvUKoqEAYsgLPrwHiFyWNomru1dRXUtFi5f8Vx7E4XxfVG/jqhG89u8Nb1iIQC/nFDOov2uMXKEToFtc2+FSq5WMgD35xgYEIgL97QnQVLj/pUcx69NoWzZQa+OVTE3yamERekpLLJgtnmYPH+AgLk7imr9/yEeiYGqzDaHDRZ7LigQ23XF7/k8+Wcftz19RGvamCATMy/bupFab0Jg8nO4YJaMmPdE3+xet/vhUYupnesjmNFDaw6WkJZo4nBySFY7Q4kIgEbjpfSJz4Iq91JoFJK3lUiVc6VN5EQrPK0i7adq2RQkt4rYqXtPeP0SoID3Cnt5xYd9KrQCATw8pQMj47IC0IhKALB5O3FJHRakUk6XtvLxEIvU89TrQMXMrGQd2dm8vGuSxxpF0USopaxaHYW6RFCvj/d8UTnT+cq+cu4rh0+34k/Dp2kpxO/C0FqGUFqGUkdOLuWNph92jIGk537vznOhvsGo864jdijb/NcQioGaQyfzcrinz9d4PvT5dgcLmKDlNw3MpkjBfWEqKVEaOW8MDmd93bkUtpgIiRAxvyhCXSN0LBgWBInSxq9DNWK603c8MEvvDylO9em96XRZKOuxcqiPfn0jgtkeh/32Gl7HMyvo9Jg5tPb+/DtsRLWHivF5nAyNi2MeUMTWX+smIUjkukZoyVMI6fJbGWHnxVeG44U1JMeqUUoEPgES7aH0+nyKrWOSw9HLHIHr2ZEaTnsx9ARYN+lWib3jCQh5PJkVUm9kRc2nfWr51i8v5Cb25Xw/11UGcy0WB2Ai5hk/xETHUEhFTE10z0511YpnPttGUtmLCGm+DsCzn4DLidNqdMoT7qRO9ZcvqG4XPDGlhzevbkX0a3tP7PZTo3RgtUZju6uowQeeQfByeUglkHPme5/7UTM/nC4oM5jlnfHl4fZdP9gVt49gEW78yiqM9EtIoA5gxPYeb6STafc1bqZ/WJ4a6u3SDxer8TpcnGsqJ5jRfW8P7MX3947mI925ZJT0UR0oIK7hyURrJayaE8+x4oauFSdzRvTe7Bg6VGvfY1IDWHe0ASWHij0tLr6JwRx38hkHll1wvN5dISaZivVBgur7h7A+YomTpY2EqKWEa6V89L35zhbbqBLqJpnJnQjUCnB5XJSUt+CWCj0IpWxehX/vLEXq44WMzUzmtyqJk6VNBIfrKJPnI4Nx0u5VN1MZowWodC9sGkfm9IeYQEyDly63IoWAKnh3tcPmVjIh7f2Rt9q5pgcFsCquweyP6+WX3JriNDKmdo7mnCN3H+gpyYa+t4Fu1/3ejjowipm9RzMUx200e8Y7DYdbUOvWB3fHi9lSmYUG46XehEegOpmC3O/OswPDw5FeJUoGXc8xlVOVCf+MHSSnk74oKi2hZMljWzNriBQJWVa72gitHJCNR0b5oH7pvjJz76+JeC+UH/xSwF3Do5D2f1+EiQNOJxmHl6fy/2ju3DHoHgqmyxUGsws3V/I6LRQ7huZzKI9eQTIxXw5JwsBAlzAznOVGExWpvaOYtw7e3zey+508eyGbN6bmcl97YTSF6ua+PDWPj6kRykVMSRZz7fHSpiRFcPU3tEABKqkHL5UzcSeUSzZX8iSA4XIJSJu6hvD9w8M5dbPDlJn9F31250uhAIBa4+V8OS4rp4MqCtxbXo4J1pXlhFaOd0iNCzak8/cIfHM7BfLsoNFPqP3QgHcOyIZncp7tWuyOjqcLgPYfbHGR7z7W2G1Wimot/DOtgtsO1eFUCDg+p4RLBiedNVYgzaUNZjIq27meGE938wfwGe78/j+VDk2h5PF2XYeGLWQgH6zOFZi4P2D9ezcnedzYz9Z0kib3KW4zh0R8MnPeZQ3mkmP1LBw5ENE9l6Iyt6IQBOJXPHr7byaK3QeE9/7haw4He/OzKTBaONYUT2zvzxIg9GOSCjggVHJVDRavNx4dUoJ783M5IVNZz2PLVxxgsRgJS9O6Y5GLkUtE/H42lPUNlv5fHZfsssMFNS2oJZ7X34FAnh+41kmZETwr5t6Ea6RIxYK2XK2gvtXHPcYSyqlIpJCVH7FviKhgDCNjFi9CovdyYe7LlHdbPHS4F2sauZ4UT16lZT8GiOFtS0khapICXMQopSgbZ3wiw9WMaVXFLM+P+g1IKCSivhqbj/2Xqzm5ak9OFncyMy+sXyyO8/neKQiIV0jNF6WD9ekhxMXpGTpvH7sOFdFnF7FkORg9GoJ2nb5avHBKuKDVczsF3v1Ewkgkbun9apz4Nx3lx+vy2dUtwiyzpl8CMzYtDAyorxT7EekhqKS5jAiNZSFfoYswG0bcaGiiUk9I/m6gzb0hIwI/9qjTvzh6CQ9nfBCYW0Lc7867HVBXby/kIfGdOGW/rGEBlwmPjXNJgwmB5UGMy7crqVBVxmJzq9uRioSMfHDg3z/wBAEQgH78k6x6+J+BibqmZ4VTYJexeszerD9XCUvfn+OhGAlfeODePn7HC+b/9FdQ5g/LKlDN2iL3eljeW9zuLD50UFMzIhg0+kyPt2dT7cIDd0jtcS1pqEnhmmZ/vE+r8yml384R2aMjs/vyGLKh/tIDFExd3A8crGIXeer6RsfyJIDBZhtTrRKid+MLb1Kyryhidy1+BC39o/lmrQwnvz2NFVNFm7uF0O0TsHiO/vx5NrTnlH/CK2cf9zQ3UdTAm4jxy/v6ItGLqa6ycI/t13gQru24a9EjF4VxQ1WZny838vNedWREvZcrGH5XQNICO54IqyhxcL3p8t56ftzAHz+SwFvzujB3CEJiIUCdAopQWopoGbnwSZ2XPBP3ELUMnC5KG8wsepIiVcLqLTBxLZzlSya3Zf8agEjuzpI/A0Spn4JQT6PHSlsYNCrO1k6ty8DE4N5c7oCm8NJlzA1OoUYg9lBpE7OufIm0iIC6Bmjo7Suxacql1dj5JbPDgHwxR1ZjOkWzpTugdgNxXw7WY5AGkidXEyvGB3T+0QTppFhtbuQS4RsPVvJ178U8NKUDCqbzLx/RburrMHIMxPSWLDkqI+u576RSajk7srFplPlfv2xQtQysuKCuGfZMS8yFKmV88Wcvh7SU1zXwlPfnvaZiGyxOrh7yVFW3j2AIwX11DVbmdwrktzqZq/QW4VExKvTMvhsz2Uy1D8hCLvDHb77w4ND+dv16R2en9+NwDgY9woMfxwqs0ERBEGJhGm1fHBrb86UuqvCYqGAWwfEkRIWgFws5FJVM80Wt+BfIxOzesEASlrdrDtCUZ2R4akhTM2M4tsrWtihATIWjkr234brxB+OTtLTCQ9azDYqG808eV1XduZUe5KeAd7edpEx3cI8pKe0wcSBS7U8u+GMp6WikIh4anxXbu4bwzd+Mny6hKppsdox2RwcLqijf0IQoRoZUpGQJouNT3++xF/GdWXGx/s9eiCARXvyeWNGTwxmG8eKGgAorDP9qhu0VOx7q5dc4ZS6cGQy646X8OW+QpRSIUabHQTui11di4WPduX6Dak8XtxApcHMmgUDabbYWXGoiBaLg2vSwkgKUTM8JYRApRSNTMwLk9M5lF/HikPFGK0ORncNZUZWNMW1LSwYnszPF6qZ+/URD4ErqjOSHBpA/wQ9i+/sR4PRhsvlQqeQ+Hj5AJTWGzlTZuDDnZc8I8l/vz6dwtoWnl7n9kMZ2qVjofbVYDDZWHKg0G98RXmjmZ+yK5g7OM5jTXAlalusvNluld9gsjFvsbulExIgY9XdA1pJD0zoEcEHO3P9+rPcMSiemEA5+XUmPvAT9uh0wd82nGHx3H6UN5h/UwUqUicnM0bnlxg0Wx0khapJCvXeT3CAb2hnTbMFpVTkt7UoEwuJCVSSrDSjPPBPVEc/8iTSy/vcyT8m/437lh+nqFXDJRIKuCkrmudvSEejECMQyAlUSrwmFR9eeZLVdw/kyzl9WXe8lDOljYRr5dyYFUOEVk6QUkqlwUx1k38h7V3DEnllc45PXElZo5n7lx/n89lZxOpVNFscPtWRNtS1uNtoUTo5YqGAuV8d5pb+cczsF0thTQsxQUoSQ9ScKWnAaLHTNz6QiT0iUUpF/HX9GWwOF9+fLOehsVc3yyyoaaHJYkckcIucBQIBJpsDrUJCsL8Fljba/S88w+vhMIl7UTa0SwjC1oDT4jojyw8W8lmrtYNAAKNSQ3l2YhopYWKfqdH2SA0PIDpQyUNjujC+RwRL9xfSZHHbUVybHoZYIKDZbEP9G6blOvG/i07S0wkAShuMNBptbDtXSXmjmcHJwdw5dDivbz7PlrNuPcMPp8vp3uqPUWUw8+hqb1GwyeY2bvvk9j78cLrc64IhEgqYMziBeYvdPiQFtUauSw/nw1t6sy+vFoPJxrju4Ty88oQX4QF3u+jvG87wytQMjq84jssFPaK16JQSogMVPhdvcBOsK/1FUsMC0CjEjOsejl4lZXhKCAfz6whQSNn84BCqm6xIRAIcTqhvttJgsvHTOf+xBeDOHlt9tMRLU7Q3t4aYIAVL5vYnt7KJ6Z/so9HkYHz3cP42MQ2NXIxKJmLEm7voaEpe0Y7MxQQqiel4AImqJhMrj5Tw7vbL3icH8uo4kHeQf93Yk1v6xSCXuEfW/x3Utlj5+YKvs3QbtuVUcX3PCCJ0/vdf0mD2adG1obrJQqPx8rkOUkn51029eGz1Sa8q3bVpYUzoEYFYLOZ8RZNfUgTuMf8Wix2T/epj6m2ICVLxzsxMPtudx9pjJRitDpJD1TwxLtXHB8YfKhpNNJrsNBhtvD69B+Am6CfakahJvSLZdracW/gB1aF3vV5fnjiNWV8c8iI0DqeL5YeKiQ9WMWtAPGqZmI9v68MdXx72TBVVN1t5at1pXp6awd1DE7C7oL7FisXuJgM2h4OyBjNZ8UEs9xNAmxCs8pg+XomLVc2e3625A5PPNjSYbCgkIo+G758/XUAqEhKmlaGQiHj0mlQidHKu6x5BoEpCn9ggfjhdxrXp4RTWtlzVaLO22cLx4gae+y7b8/tOi9Dw4pTurDlcjMnu5J7hScQEKlD8jpwraeuEXrPZyncny/jXtsu/G5cLtudUUd5o5tPbe3P38CTe8OPEnhGl9UzoxerdpqK9Y7S0WB3sv1TLnC8PY3e6GJ8Rwcx+MZ6A1E78OdBJejpBeYOJfbm1PL72lEdLsfFUOWEaGUvv7E9BbTPnK5tpMrsvzvUtFj6/wsq/PdYeLWF6VjRf7C0A3K2cl6dkIBLCI2NT+MuaU4xMDWHXxWoeWXnSU0buFaPr0JTMYLajVUj49PY+NBhtZMboiNbJ+fDW3sz64pBXNSZYLeXZiWk83k5QHaaR8fT4rvxz63nGdAtnWEoweTUt3NArkkaTjVsXHaSuxb0PlVTEP27oTmaMDmkHGToqqQidUuI3lbq4zsTne/MZmKSn0eTgzek96BqhYc/FamwOF+O7h5MQrOZile9FX6uQEPYr2imvz8Vk50M/lQ+AF78/x6q7ByIVCYn5Nye3REJQyTquqKmkYiQdBYACol/pqwnaPR8aIGdIsp7NDw7jVEkDBpOdPnGB6JQSz/FfWam7EkKBgPjfYcAYG6Tk8WtTmDM4HkdrMvdvMXAsqTfy3vaLrDpa4vnNaORiXpqSwfJDRey/VMt13cNZMCwJQ1UB2h+8CQ/aaM40qag3Nvjd/8c/5zGmWxiJIWq6Rwaw6f4hHMir5VJ1M71idGRE6xALBbz3c65Xe0UuEfKvG3uREKwiSCWhV4yWE8XesSV2Py3e9mgzX9QqJATIxJ5g1CuRFKLioW9OeD1mdTg95owGk41fcmtYvL+QESkhhGvk2F3uFvPIrqGM7hqGxWJD5kf7UlRnZP7iI14E92y5gVmfH2LNgoGMe2cPB/JqWTF/APH/RrhnZZOVT3b71x+eLTdQ1mhhcs9IHE4Xn+3Oo6nN5DMtjGfGd/OpuBrMDuYtPuI1/fnp7jw2nSxj+V0DiL9KC7gT/7voJD2dwGh18NS3p33Eo5UGCy99f46Xp2Yw7aP9jE0LB9wxEP6s6dtQUNvCk9d1ZUJGJALckx2bTpaycMUxNj84lJhABYFKKTd/esDrotZRD10uETIuPQK1XIzL5WL5wQK6hmfgdDpRSUW8e3MmhbVGCuta6BKqZkCiHgHw8NguFNWZiNMrkYmFPLP+DHcNTaS43sgNH+zDZHO0OseG8taMXjz4zXEMZjstVgePrj7Jz4+N4IZeUT5ZTQD9EvRsu0oVaMOJUmYNjOPj23pzurSRx9oRsJWHi3lzRk9+OF3GqK5hCASw52I1S/YX8e7NmZ4Jlt+Cojpjh59bbYsVg9lGZuxVSkW/gtggFbf1j/PKpGqP2wbEEnwV7UKkVtFh6yc6UOHjS6NXy9Gr3TEH/pAcokYqEvr1qEkJU6OSiZCJr972vBIBCikBit/mXwPgcDj46WwlK494C+INZjuPrjrJdwsHg8A9Jh4VqMTukviO1AdEkFPTceJ9XYvVU+1SyaUkyaXE6xU0Njai1WoRiUR8va/AR09itjlZuOI4PzwwhOhAJfeP6sL+vFq+PVZKk9nGwEQ9iSFqREKBXz2cUOAW8AMopELuGZHkN3duUs9IFBIR5zpwMQe3HUR1s4XesYFM6hXJnV8fQSgQML1PNGkRGkrqjUjFQkJUToLafYeqm8y8t91/m7PZYmfr2QoWz+1Lg9HGkv2FhAXIGJ4aglou+U2ZWvUtFlwuFy9PyeBEcQNrjpb4tLDPVxjolxDEnEHxTOgRQYvFjqK1YupjnYC7wnul3QW4W4ZrjhVzz9BEVL/jO9aJ/x46SU8nOFxY1+GN8+eL1Tw1vhuZMToSW1crKrmE1PAATpc2+n1Nl9AAPtx1yWdKCtz+LN/eO4g1R0t8Lmo2h9NHvzCuezg3ZsWw/ngpz6w7Q3KIir9PyqDC4Lbgn/7xfuqNNqJ0CsI0MrZmV3K2sJIHRidR0Whh1/kqKg1mapqtjE0Lo6zBxKI9l0mM2zm2iupmMw+PTeH5jWc9j7+9/QIPjk5he06VT27YwKQgLvrxF2qD1eFEIACNXMIHO71XlE6niyCVhDi9itd+zMHudDEhI4KtDw9DpxKiVfz2So/sKlUWwMuD5N9F/8QghqUEs/tCjdfjN/SKRKeUUFxn7LCSFBIg5cUbuvPo6pNepFoqEvLatB6/ewUc0KqRupKEKSQiXp6SQYBMgv6/LCAtbTDzmZ9JJXCf913nq1gwItnzmFjkx0PGUEZaRsd6jxC1zK8mLT8/n169elFQ0+wlEG4Ph9PFj2cqQODW4g1NDuYv16ailIo4VdJITrmBm7JivDR7bZjRJ9oT6nqssAGrw8mzE7vx+Z58yhrNaBRibu4by/iMCBC4K6ht/jtXIlKn4HxlE/OHJfLU2tOIhALenZnJ96fKuXfZMexOF1KRkJv7xnDXsETPd6jJbOdMmf9ri0AAWXFBvPXTeY4WNngef3lzDs9PSmdMtxCiAjv+ThXWtvDZnjy+PVaK2eZgcHIw/7qxFx/uyvUSo0e3hoYGKCQopUJOnDhBeq9e3tlvrShvNLHxZMeePZtPVzCtdzQJnaTnT4FO0tMJL0fSK+FOU3by7sxMj7ldkFLKnMHxrDte6rNaFApgWp9o7lvmf9zTaLUTEiD3Gvttw/KDRTw4JoXnvnMbxPWO1TG6ayjzvj7sIUjZZQa+O1XOOzf3wmixo5KJqTfaKG0w0WiysXJmLMln3kH2/hpumnOYCE00b2933xxm9Inm4ZUn/B7XmVIDC0e6XXnbNCh51UaEuPjijiwO5NWx+XQ5CqmYW/rHEB+koluE0cdgrQ1ju4UBsOpIkY+l/qI7snh720X6J+p5YHQXBAJ39tO8xYf5bFYWhTUNqOVi9GoJOsXVb+DhOjlqmdhHBwVuQzvNv6nlaY+1R0u5b0Qy84Yk8v3pciQiARN7RGK2Objpk/38+NCwDl8boJAytEswG+4bzNf7CiisNZIeqeGW/rG/O+kaIFQr9+xvyYFCSuqN9IzRMaNPNGEBEgJ+5fP6vTBb7ZQbzDicIJcIcLrc1ZSrZbz5GPVpoqH/3bDr1cuPGUpJVzcRrJb6mG8C3Dk0AU0HIlibA+qMNiqucgwFtUasdicul9uuYPfFy4RVKIAN9w0mSCXlq30FNFvsqKQiZg2K59b+sa0GjGZWHylh14VqekRrWTgqGZ1SitnmYMOJMnblVLF4bhbzhiZ6JvPaQyoS0itGx8c/X8LlgiaLnYWjkllxsMhrCtPqcLL4QCFmu4NHr0klTCNHKhYSoZX7jY4Y3iWEny9UexGeNvz9u2z6xg8hqoPCZkFNC3d+7T2ZuudiDYfy6/j09j7ct/w4zRY7QSopcX4mJDuCSCi4attVKhYiEPzPFx+d+M+gk/R0wu/obhuSQtSoZGKflXyISsZns7J46ttTnpVeiFrGC5PT2X6ussOk814xOgAGJwWzJbsCtUxCaYMRs83Jwfw6kkPVfHRrbz7bk8ecwQn8bcMZn4qQywV/XX+GdfcMJjRA5hE6vnptGKk/34e4/ChooghvOsONJ99mxOh7sKnCaVTaW831/KOk3oheJfXc0LpFBHCmrIm3frrAV3dkMSIlmJyKJl7adJYLVS28PKU7AxKDOJDnPWatkYu5f3QXXC4XY9LCmdAjkkqDhQ925tI1XENds5Ux3cJ4b8dFCmqNiIUCxqaF8dcJaWw4UcbhgjpOFDVw55AEZmTFXFWPE6qS8uaMHty3/LgXAVVIRLw+vQfx/wERZYBczE2fHiAmUMHU3tE4XS7uX36M6mYrCokI0a9c0EMC5IQEyHl+UjrNFjsauQTlv6HDaENUoJKoQCVJIWqaLTZ0Cily6e9raf0WFNe1sPpoKYv3F2C1O/lsVhYvbMxmSu9oUsMCOF/pv7XjE5MgVbjNEpur3CGo4T2oHPYaLl08S+6Uc/+KE57WiFQk5NYBscjEQhpMNvR+JpTKG00cyKule5TWSzTdHgOT9CzZX+j3OacLvjlUxDMT0piRFY3Z5kAqFhKkuuyT43CCzekm/6dKGjlV4l15SQhWYbK5uC49nJxyA2uPXW6zqWViXprSnc/25CEWCrC0Csv7xAb6jN+34dtjpdw1NJEwjZzoQCV3D0vyG0Y8oUcEL/ohWW3YdKq8Qz+qUyUNfjWDFruTJQcKmdo7is2nK1g0O4sY3W8nz6EBcm7uG8Pe3Bq/z8/oE/27dGad+O+ik/R0Ap1SyrXpYWzJ9taoCATw7ET/ydyhWjlDlSK+uWsgBrMNo9VOWaOZTafKGJMWzvJDRbhckBisRC4Rcba8iWm9o9DIJdQbLSSHqXlodArVzRZSwgIoqTfy5tbzLDtYxKiuIVybHk6kTu7V6moPg8lOndFKWYOboCilIjK1zW7CA9DnDtj7Tyg9RmjpnQA4btyKWCjosJXnDjJ1V0zEQgGzBsYz89MDNJhstLTqntpG5sFtJPfatB5ckxbmGUcflhLMnUMS+fF0GW/+dHkyJCFYxWvTeuBwuWi22L0m3+yt+Vw5FU08fm0qUpGQX3JreXdHLkKhgHmDE1B3kMkUoJTSNz6QTfcPYfWRYvJrjGREa5nUM5IIzW8vp9c1W2g025CJhEQGepOskV1Dee3HHIrrTbzTbkoMYHqfaILVv+191HLJf3SEVy0X+xj8/adQVm/kxU3n2HLW/ZuYPSieL37J53xlM98cKmLhqGQeW33K53V6lZR+8X4WEYHxMOwJqgY+y/laB//adoGciuNkxuh4fVoPhEIoazAjEQn4/lQFX+07y/ZHhvs9NqvDyZL9hTwzvhsLVxz3eT5YLaV/QhCH8us6bEFPzoxGKRMT1wH5DNXImdwril9yaxmYqGdgkh6Xy8XO89WcKG7guu7hhAVIUcqlPHZtKvOHJXK+ookAhYR4vZItZyo93lRBKhkKqciv7UEb7E6X1/M9YrTcNTSRRXsvG1XKxEK6hgdgMHe8H38RIXBZh9UR9l2q5dt7BjFncDzR2t+fkJ4RrWVIsp69ud7arYwoLWPTwiiobSGn3MDWs5VoFRKmZEYRqJT+2wMGnfj30Ul6OkFskJIXJqczNi2Mt3+6SHWzhZ4xOv5ybSrRVwmqlEgkJIS4Lw6bTpXx6Cr3jdwF/PjgUERCIUV1Rqx2B0khapRSESqZiJPFBhYsPepVDcqKC+ST27IwmG18d7KcDSfKWHX3gKsfuAtPvlCEVoGs+szl50JSYedLXpsH567m+u4zWHfKd0UWGiDD4XQTknCNnFenZXCquKE1BFKEyebwIjzgXiE+tPKE+9hv74PD6UIlE/H+jossP+Td9sqvcRu9LZ7b1++Nqm0bo82BvF1W0Od78rm+Z2SHpAfaxL9ynhnflWaLA5VU2KFvzpVoMlkprjfx4a5LHC9qICRAxp1DEtzTca0XZL1KypszevLY6pNeVbf0SA13DUv8XSLg/yuoN9o8hAdgcJKeBUsLAHfrKLvMwLMTu/H+jlwPMc+I0vL69B4kdOARZJQFs/tiuRdZ+uVSLb98tI+7hiaQEKy67KuUHNyhD5VUJMRkc/DzhWpemZrBO9suen4HWXGB/P36NE4UNXDviCT2XKz20dxc3yOC8CsmBAtqWyhvMHGpupk4vYroQAVDkvUsu7Mfe3Nr+e5kGWKhgOsyIrh/VDJdQtUo5e7zHqFVEKFVkBp+2d14Yk8hfeIDWXO0hOK6FmYPjPtVgtreViE6UMm8IfHMyIrmXLkBqUhIlzA1DUYbfeODOnQfH9k1xO/jIpHIf3xFu/eWiYX/9nh5nF7FSzdkkFPRxMojxTidLqb0jqJntA6XC+5efNSrMvjlLwU8NLoL0/tE/6GZeP8vopP0/L+O+gIwNRCW/zPTxHJumDsCgzgIo0BJ9FUEgVciLUKDTimhwWhjQkY4ORVNPLn2tIfYiIQC7h6WyLTe0cxfcsTHu+VIYT07z1cBLja0xjYopWLPPq9EgExMkFrK6gUDmPnpQQxmGw5V+OUNXC4QisF5WeuiPLWYx6dNo7JJy778yyvgCK2cRbOzwAXr7x2MWi5ixaFCPt/rbg+kR+rI62CUvu3YDWYbN3ywj60PD2PNUf+ixtIGE1aHk3Md5AABnClt9NL/NFnstLTqdfKqmzlaWM/p0kZSQgMYmKwnIkCOsvVmIRKJ0Cp/X5vnbEUTty066JkUKm0wcf+K49zaP5b7RiYTqVOgV8sYnhLCloeGsetCNTXNFoYkBxMbpCT2/6cX7OwrfGzsTpcX4fvylwL6JwTx9+vTPRqUCI2McF3Hn0elwczLP/hPI9+RU82i2bHcNiCOo4V1PHFdVyI70DxFaBXcOSSBt7ZeIKeiiYfGdkEjlyAWCsitaqa80cyDK08wLj2cb+YP5IfT5Ww/V4lKJub2AXGkhgd4hYxeqmpm3uIjXmL9KJ2CpfP68eS6054RdICciibSIjR8dFvvq35+0YFKogPdbuoOh4MKg4WaZispYWovp/A2DEzUY3O6qG02o1e7CVmYVkGYFlLCLhsYGq12nh7flWkf7ffREyaFqOka7h0r0R7T+0Sz7KCveBvgpr6xfqeyfg/iglXEBavolxiI0wV6lQyD0cbb2y/4bYW+vf0io9PCiP4fvWsnfi86Sc//y6gvgJ2vwqkVgDuqQCwQEDTiaYJ63AT8dtKjlglZPKcfj646QbxezcT393rdvB1OFyeLG4jVKzs0q1t5uJjXp/fgq31usrHiYCEvTO7Og98c99qXQADPT05n74Vq+iXqWXZXP86VNyMMt4EsACxNcGk7dLsestddfqHdQsS3U3l/6AuUT5jGpRoTQqEAs83BvcuOUVhrJEIr58s7+vLjmcur/IKaFsK1HU9UCQWglLh/Siarw+84dRusdtdVvU8idQo2nLisjxALBQQqJGSXNXLbooNe7T6lVMTXc/vRKyrgd5fjwa1Zee67bJ+4DoBlB4u4bUCc58arV8vQq2V0CQvA4XBw/vx5onWpv/s9/68gUOn9eVrtTh8CfjC/joOtFYcN9w2+KuEBPOG37aFs9YRqNtv563p3leeeEUk+o/ztIRHx/7V3n+FRVVsDx//T+ySTSe8JIQkk9N4VRRQVQcWCXsQCiv3a772Wa7/F9tquDVHsqGDD3lGKdOkQAqQQSO+Zft4PA0OGmQkJpADZv+fhA1N3TjJn1tl7r7WY0j+BqgYH85ft4Z6PvZlsPaKM3H9OLx44kAjw9aZ9pFj13HpaBlP6xaNUyIk57O+4oLKBub/lc+vpPVEp5CjlMgoqG1lfVM2Hq4r8Ap6DNpfUsiK/slX1jMAbjB/ch/XiZYOYdViAlRNv5tpx6Vz+6greunqYL+gJRq9WEh+m4b1Zw3nsyy2sK6xGo5RzXv94rj8lo8VswEijmpvGZwR0sT/YCkTXin1hDTYXyMDQwp40i/7QfqCKRnvQLNaDPltX3KpCmEL7EUFPd1aw3Bfw+EiSd1kodYy3l80RNNqd7CxrZEtJDX0Tw5l35VB+2LqfYD2G48K07K0OPIke1OR0o2pWze6dPwpJjzaycM5IXluST15pA+lRBmaNTae60cHT329HIZdxZm4MT32znRV5Sh6d+h4Riy6FDR/Cxe9A8WqoLgCZDE/qKdis2SgikrG5PDz65RaqG51+QVhJjY3Hv9rK3yb14sZ3vctQe2tsRJu0xJq1vmWE5s7oHYPmQHqxXq1Ap/Iuh6VZ9cwclYpaIeebzfv5ZXsZJq2SGSNTAtLYwTsblhltZGPxoVmGc/rG4QFufX9dwP6mRoc3WFswe7hvmbEtGhzuFmedVuRX0isu+JVzU1Po3+PJoEeUEYNa4dv4vmBVIdeMTueJbwNr1gxPjyDCcOQlvmAZPo+f34d5v+/225D8e14FA5LCeeaS/iEDi6QIPTeflsGFgxLZdyC7rLi6KaBX1sK1xVw8JClkWw6Hy0PPGBMPfLbJF9D1jDb6NiKHsmhdMWMzI9s8O5Ji0fHolFxqbE7K6uzEmrUUVzdxy/vrcLg8FFU14nC7WZFfSZRJw8BkC2F6BZHGQ+8TbdYTbdbz7KUDcLg83tpCOjWWI+wtS4owcNHgJM7IieWL9Xupt7mYkBNDmtVwxBlLa0o2v+yo4MNVhbg9EucNiPf26Dti4CdrMXmiJkRneqHjiKCnu6rcBSteCn3/qrkQ0xu0LV+F7K+1YdQqqLW5uPn9tdicHk7rFc28mUO479NNvp5CACv3VPFgv/iQr5UUofM2lmzm4S+2EGVU89ylA4g0athXZ+Ofn27kqtHpXDu2B7/llbOhuIbbJ2ajUcq4+tMNPHjuVyQ4dmFwOKg+fxHK6nzqzRks2trAysIGku16pg2SMzzd6ltKa+7XHWXcNfHQLEb/pHBMWgVzZw7mmjdX+aXbD0wO52+TeoFbwqhRsqO0nhnDkxmbGYVLkliwspBGh4dLhyRx79m9+Hz9XoanW1m9p8ov60ulkPHolD682SzjZlhaBLedkUlNkyto9WbwtnKoaHSQ1sLvKBT5EdqQBqsT013EmjW8ePkgZs/3LsUu3VnB0LQI/nZWNq8t2UVZvR2NUs75AxOYc0qPVm1INWqV9Iw+VIk7O9ZEaZ09aAbW2sJqluVXtPilGq7XUN3o5KPVRXy5YR8JFi03jc/ApFXxZ1E1r/2+C89hS0B7q5uwu9yYtSqsRm/m48HaVAftKK3n6jdW8eLlA/lucynBKGQy5EeRhl3V5OC5H/NYvacKk1ZJrc2J0y2hlMt48bKBvPRLPmsKDtXL0SjlPD99AP0TZUQd2Ie0t7qJsjo72/bXEW3SkGo1tLrNSlKEniRo0+xKUbWNh7/YzA9bDx2LbzfvP2JgenD8o3pY/UoGNDehd3SrxyG0DxH0dFceNzSE7qlEfSk4bS0GPfVNTiRk3PbBer8T97zfd/PF+hKevKgfV72x0pcttaeikSiTxu/E39ydZ2SRYNHx0uWD+L8fvF3CkyP0XDs2HUkm4/Snf0Uug1dnDObfX2/12xvwwaoiZoxI4f7JfZj84lJ6x4XzxLR+7K22ERk+hFveX8eeAwHY0p0VfLCqkAcn51Dd6AzoLSVJ3iW0z28YRbhBhdMt0eTwkBMfxruzhlFSY2NfjY30KAMReg3JVj0Oh4v5Vw3lrg/X8/qVQ3j6++0sWusNqKJNGlTKFKa8sJR6uwuNUs6dE7OYOTKN/PJ6YkxaBqZYkMsgwaJjcr940qMMhOtUWHRqyoLUK2muwd66XlOHM2oVDE6xBG0qKZfBkGBZSN2EXqNiUHI4X948hmU7K8gvryfVamBQajhn5MRgc3q8ad6tmGE4KMVq4Ilp/bj8tRXU2V2ckhXFl3+WhHz8gpVFjMmIJKFZNp3BYGBvjZ3qJic79tcRZdRw0/ieXDokCblczlvL91BWZ2dYWgRf3TyGNXsqsRpUFFU1srG4hl+3l7OzrJ4Ig5p7zsrm6e+2B33vOruLrSW15CaY/WYeD7pocCLRbWiX4hu/RkVcmBaH20NFs6W+Cb1j+GV7mV/AA95kgevfWcNXt4wlygyFlY3cvmAdfzQrJGjRq3h95hD6xIehVLbcpuRobC6p9Qt4DlpbWM1PW0uZOSr0JUd8uI47J2azPH9pwLJ3TryZns32KwmdQwQ93ZXGDInDoCbEenPaWNBZAW/9GofLg04lJ67ZvoUml5stJbVBr1TL6u18tbGECb1j+Gqjt2GpTAZIEi/9ZRBPfrONbzbvx+2RiDVruWNiJv2TwvFI3irM2XEmJElCksDl8XDG00sAGJcZzZId5UE3Q85ftofz+sfz+Q0jMOk02F1udpbV89O2Rq4/NQOVQsYji7dQ2eBAkuDRxVt47tIBAUFPilWPSauiqsHBA59uZk1hFZFGDVeOTGVsZiQjewR2LFerlQxMsfDOrCHsLG/yBTwAlw1P4dkfdvgKCNpdHh5ZvAW9WkFapIEXpg/w7UU4eNVY3+SkuMbGC4s3M2tsj5CtHBRyGQnhbf/yAYgP1/Pg5BwufXV5QDfpu8/MJkzffunlJ6LqRm+H+WU7K4gwqPlq4z5Kamyc3iuaB87tTVJE22uvZEYa+OTGUXy3eT8RBjW/H5bi3Jzb40E6rDeMPjqJvy/awJJmMwcWvYoXpg/kkcVbfI1EV++p4u3le3h/9giqG52olQpSrQacPSQm5sZ6/2YkQtYaAlhXWMOIdGtA0DMsLYJ+B+pttZVBo+QvI1IC2meclRvL3R8Hb3XidEsszSsnMVzDM99v9wt4wJtpN3PeSj65YWS7N/csq7XxfpCmrQd9sKqQU7KjW6zDkxCm5eM5I3ny2238vrMco0bJRUOSuGxYMslH8TckHBsR9HRXpmgYcxts/Rzch9W20EdA7/MorHWwdV85L/2ST1FVI9kxJm46rSfxYVriLd5+VsGWhw76fkspN43P4KuN+0iJ0PHaFUOobnLy49a9XDMmjb9OyMTp9qBXKzGo5RRUNqFRKXB7JFKtBnaV13PFvD/47wV9uf+cXjz+1VbOyIkJ2vn4oI9XF3Ht2HT+LK7hlvfX+jJu3llRQHqkgacv6uervGp3eai1Of02Fstk8NiUPhRXN3HZayt8GSLVjU7+8clGzu0bx51nZoU8WUUatfzra/9aNtmxpqBX1I0ON5v21rJyd1VAEcEt+71ZVXaXhxHpVm44NSPoz33ZsGRf24CjkR1r5JMbRvHJur2s3FVJtFnDjBEpJITriDYdXTB1sthT2cgbS3cH3P79llJO7x3DJUfxhaXTqeihU9FjnBGXy0W93RWyls65/eJJbPYeNXY3r/6a7xfwgPdL/7q3V/PvC/sy5+1DBf1qbS4e+mITt03I5J0VBX6fVbNWyUt/GcSZObF8EuIznBVrZNog736gT9YWo5DLuHhIEv2Twlu9iRmgwe6krM4BSGhVCmLNGh6anMNDX2z2zQIr5PKQBU3BW5rC6YbP1wefGatpcpJXWt/uQY9LknzFFYOxOwMD08NFmDREmDQ8dn4fb5VsJCKNGkztWLNKaD0R9HRn5gSY+QV8dQ/sXeP9xk87BSY+SoU2kUUriniq2Zf1/lo7v+aV89ylA4jQqVEq5H4bjw+nkssYkW7l0xtGEWVU8/3W/RRV2ViRX8GTBwr33X5GJqMzIjnr/1b4Tnq94kw8fVF/suPMvPKXwVz1xkr+Pimbr24Zg93p8XWBBshNMBNt0lJY2ciO0npy4sOwHaif03w7Q5+EMK4Zk4ZHgicv6odSLmPxhhI0SgWxYRoaylz0Swzn7jOziQ/XMvut1UEbMn7+Zwmzx/UI+TO7JVnASfII50Sch017F1Y2cP+nG30brG9dsJ7PbxxFtFnDcz/kUVDZSIxZw7VjezChd4zf7FtbKRQK0qOM3HxqD6qHp6BTyTGIkzF1TU7eXh68ojHAW8v2MKpH5DEVl1MqlYzPiubtZXsCWlekRxo4vXeM322V9Y6QbU9qbS6qGpxEmzR+7RuW51cik8kCLk5qbS6unLeSj+eMDBr0qBQyJubEEReu49KhyZySFYVCBtHmtm1c3lPRwLzfd/PR6iIaHS5G9YjkrjOzmZgTw8gMK5v21uJweciOM9EjyhC0YjJ4q8ZXNthbzIwsrmr/zfVxYTom5cYFVF0/aEJODJFBqmYHE6oEgdC5RNDTwUprbSjlMiJa+cHoVHoL6IfBtDfA2QAyOaiNEJZIVWk9z/24I+ApkuStRJxzrRmNQs6UAQks3rAv6MufPzABvdq7xr40v4Iv/tyH0+XhtF4xXH9qBn9fuIEnv93OiHSrL+MJYEtJHZfPXcGH142kV5yZd2cNp6iqkZW7qxjb08opWVGU19u5/pQMiqqbMKgVRBjURBk1FFU38tPWMr+AZUQPK9OHJnPfpxt9GSpKuYyZo1LpGW1k5sg0zDoVeaX1lNbZCder2NpC9+hlO8tDboRUK+Wc0zeeL5sdk+LqxpD7mCCwbUG9PTCr6tznf2fWmDRe+csgVAo5chkkWbStLkJ4JEqlgkhT+7dyaDNbHdSVwK5foG4/pI6GiLRWZRK2J4fbTXULFYRrmpy4PKG/gFsrNdLA/KuHsrO0nl+2l7Msv5xJuXFM7h9PitVAk8NNdZMDnVqBw+XB5gz9nvtqm4gwqAN6VlU3BK9SbHd5WFtQxd/Pyubf32zzfWbMWiXPXNyfuLBD56y4o6hhU1TZyO6KBoakRjAqI5KlO8t5d0UBF760lI/njCQ3IYyM6EN7Wu6amM21b68OeJ2e0UbSrAYkCGhI3Fzv+NA1eo7F2Mwo0iINAU2Ho0waLhmSJGZsTjAi6Okgu8sbWLqznMUbStCqFFw6JJnMGP+iYMeNIF8oeyoagtZvAW/GUE2T01uhWILTe0Xz/Rb/jX49ogxcOCiJ5flVfLymyFeSHrwbAFOtev5zYV+umb+KBauKuGZMKv/55tCsUnm9gz8Lq0iLNPj+AeyrbOTOiZnk7W+gpsmJw+Xm07XFuDwSk/vFkRlr8ps5kcngurHpzJq/2u8q0eWReG3JLjKjTbz++252lnkDEo1Szhc3jQ5oEtqcLkSl3INy4s30SQjzLVvMX7aHu8/M5ub31ga0wJg5MhWDunUfw1eX7OLVJbv4z4V9uWhwUquec0Kx1UH+T/DRlYeKSi75L8T2hYvf8rZy6CThOhXjMqNYtjP4npuRPaxE6I+tEvXBoODVJbvYX2ujf1I4z1w8gFiTBrVcxs7SehatK+KPXVVEmzTcND4jZINS8KbZ763e7XfbgKRwNrcQwO8oreevp2VyanY0eyob0asUpEYacLrdVDQ4qW1yBVQMdrvd1NndmDSKoF3HwbsP8Nkfd7BwjfezKZfB6b1ieH76QG5+by1PfruNf13Ql5hmm6F7x5l4YfoA/v31NgoqG1EpZJyVG8dtEzJJiTTgdHu4/pQePBqkwGPvODNxHTSTkmTx1u76YFWh71xzZm4sM0emtvtymtDxRNDTAfZUNHD1m6t8X6QAP2wpZWJODH+fFLyX1fGmpa7B4F2Df+HHPGqanNx7Tm8m5sTy5YZ92FxuTs2K5pSsKIoqG3C4PX4Bz0G7KxpZsauSkT2sVDbY6ZNw6CotKULHDadmYDVq+HlbKTFmLSaNksQIPdvK6r2bep1u5i/b45ftsa6wmvRIAy9eNpAnDyzLDU6xsDy/MuS0+KtL8pk2KJF/fe09kdpdHlweiTEZkUHTTOUyGN7D2uKxSbEaeH76AL74s4QFqwppcrgprm7k0xtH8dLP+awt9H6JzRqTTm5CWMCXikmjJCfezKa9gVkzcpn3i+ykVF/iH/ActO9P+PUJmPg4aDsn20WhUDAxJ4bXf9sVMHOiVyu4Zkw6YccQ9OytbmLh2mK/5eOt++pYuKaYt68ZikWv5oL/LfXbYF5aZ+eGUzMCUszBG/DYnB6/x2uUcu45K5snvw2eoQUwMNmCxejNQOsZY6KwspGvN+3z/ty1dnITwrhzYhYpVj1qJVQ2uPh4dRHb9teRHWPi/EGJRBo0RDTLYCuttfHsDztYsOrQUpxH8qZ519tdXDcunRd+2um3TA2QZDWQZDXQO97szY5TyDHrlEQd2FsmuSUm94vnlKwo5ry9mryyRl8w9Y+ze5Fk6bgLyoo9W7nxlD5MG+Stn2w1HmrO2haVDXaqGp0UVDSCDFIi9FgN6mP6WxLaRgQ97azB5uCDlYV+Ac9B32zaz/RhySdE0JNo0YXMGEq16jGqFb6U039+tokYs4ZTsqJRKeQsXFOEJEnkxJv5fkvoJn9fb9zH5Qf2kRwMjFKtev45OYd7P9no654O3tmk+8/N4cNVhcwe24M6mysgvRUgv7yBbzfv54oRyby5rIBok9avVtDhCiobiTL7n7y2ldTxt0m92Dx3RcBV9f3n9G7VxuEUq4Frx6QyqU8skgThBjURejX3ndOLersLlUIecj9IYoSeh8/LZfprywOWM249PROz7iT92O5aEhjwHLThQxh9a6cFPQBpkUbenTWcp7/bxjeb9uOWJMb2jOKuM7NIOcb2Gw12F898HxiMONwe/rFoIzec2iMgo+6PXZWM7RnFP87uxXM/7KDW5kImg7E9o/jn5N7sLG1gUIqFino7A5ItTB2QwHt/FDBlQAJ/7A7ckxJt0vhlYRVWNfDfb7bz2fpDe3zWFFRx6avLeeUvg4gyqrn4lRW+C4ift5Xx+u+7eX3mYIalhvuqgtc0Of26rje3dGcF14xJx6RVIgWUL/U6fPak0eZib20Ti9YWs7agmvhwHU9cNACLTonTIxFhUBNh6PjtA1qVImSRx9bYW93I1xv386+vtvqOoUYp58HJOZyaFUXMMbbBEFrnJD17dp3SegefrA3+gQf4cGURQ1Ij0LdySaOrWHRq/nVBX25tlgEFoFXJ+c+F/dAo5WiUct9m2/21dj5YeSi1MzlCj0ohp6VtDxISepWCQakW7vvUWzr/rxMyufOjPwNq03y/pZSEMB23n5FFeb2dbzcH30cE8Om6Yp68qB8KuZyt++oYmhYBwbNhD3R4PxRcKeQywvQqHv5iM+9cM4zf88r5fWcFMSYNFw1JQiGTYXN6sNmcaI+wlq9UKgNO4FaDqlX1TbJjjXx+42jeXr6H1QVVxJq1XD06jVSrgZg2biY9YdSF/p3isoUOiDpQRrSRh87L5Y4zspAAg1rRLl9Om/bWEmSfPOBdctKqgp8fnvh2G/+7bCDvzx5Ok9ONRqnAoFaQFmkkLdJIdpx3effj1UXMOlBYMdKk4e+TevG/nw81Rx2YbOFfF/TxLRsD1DW5/AKe5h76YjO3nt4zYMbU4fZw24L1fHDtcNIivZ+HWpszaBLAQdWNDqYPSyaulXV+dpTVM/3V5X6VjT9aXcSjU3M5LSv6mAIel8tFYbWdXeUNFFc1khVrJsas6ZAL0z0VjTz0hf8snd3l4Z6FG1h0/UgR9HSS4/ub9wQkSeBs4QPvcHuOmM1zPLAY1QxNieDzG0fz7h8F7KloJDfBzAUDE4kyqfF4ZEwblMjbQRr4mXVKsmJNB6aeow80Eg00KTeOU7Ki+PzPvchlYNKqcHmkkMX49tY0sWB1EWflxga9/yBJgqV5FeSXN3DBoER6x5l5bckuX52c5q4cleq3xHD16DQWbyhh6c4KJj6zhGX3jCdMp6KkxsZf5v5Bnc2FUaNk/lVDyY0zoFa3blp6d0UDefvr+Wz9XlQKmbe7skWHyy1RVN1ExYFmjOE6FfEWPXqNip4xKu46M4uqRid6taJTrma7VOpo+PU/we+L7AnKrvlSONh37HiRX97AE99u82U6jc6I5MmL+hFj1pJ4YIln2uAkhqZZ+WV7KeE6FWf0jmFCr2hqbS7USjlGjSKgztD6ouCp8wBFVU0hL9RK67xLNgdL9LXUlwog0qihf1I4W/fVEaZTkRiuCdo7rsnhZn9tE7VNTsZmRvnqfR304GebGXZL8KXmygYHlQ0OqhsdaFUKzFolyYcFMi6Xi80l9Vz5xkq/Qom948y8eNnAFvt4tVVZnY2Xfwnd1mPub7t4bIoBs1jm6nAi6GlnFr33BBOqm+95/eOPeFI4XsSGa4kN13LvpGzq7W7CtCrUzZZ2Zo9LZ09lo1/dkAiDmtdmDCbOqMEueRicamFgsiVgKSrRomP6sGSiDCrGZ0czOiOSmiZnQIZEc6dmx/Dkt9tQyLw1TA6vV3LQ+QMTiDSqkSFj695aBiSF8c41w7j1g3W+1zdrldxzVi+aHG4kybv355KhSRRVNfHKr969CDFmDav2VHH7h3/6vX693cW1b68+0PPqyCepgooG7lywnpXNKh9/vKaYqQPi6ZcUzj8/O3T15y18l+Nb+jJoVBg03SQ7xJIGcf2hZF3gfRMe7vQMrvZSUddEdZObigYHaqWcMJ13z5ZCLgs6I5IVY6LWFjpzrHecmacqDi3ZOlxumhwu8krrUMhlRBq9MxUpVgNjM6NaPU7zEVo5KOShy1O4miU9mLVKxvSM9Pt8qpVyooxqLHoVJq2Sc5/7jQaHm2iThsem9iEn3n8j8q7yBj5dV8zXG/ehVsq5aHASN5yaweVzl1Pd6L14cbg9bN1XS0a0/2xqYWUj768s4LUlu3wz0TnxZp66qD9ZsYeWRwurbVw9f5VfwAPeCswPf7GZR6fmHnPn9YMaHW4KW0ipL6xspM7uEkFPJzgxvn1PIBaDhqtGpfHNpn0B+0H6JYaR25qeL1UFYKuG9e9620H0OA2Sh4M1dH2YjqTTqNAF+eJNjjDw2NQ+VDc5ySutI9KoIdGiI9agQadTsa+8AY9H4qmL+rE8v4L3/ijA6ZaY3D+eM3NifVPIWbEqFq4p4uHPN/PwlNyQ49Cr5TQ63Dz/004WXT+SAcnhrC2o9ntMqlXPOX3jiTCoGN7DilImw6RTkR6lYt7MwdTaXDjdHsJ1asK1ChqcHpxuD/tr7Tz57Xa/vlo3nJLBvN93Bx1LWZ2d8gYHaa34Tvl+y36/gOegRWv3MqZnlF9GzvdbSkmLNHDr6T27T7BzkCUZLnoTljwFf37gXdKKzITTH4TEIV09uqNSWNnIwjVFvPjzTt8XcKJFx7vXDOX2CZn857CCkxqlnEem5qJRylEr5AHLSRcPSeK3vHJfsHRmbiznD0zg+nfWsrmkFrVCzrn94rj5tJ5tXqLJjjX7LVk3Nzw9go0hiijq1Qoim21kjg/37km7bcE6Gu1uHp6aiwxvRmaCRYdKLiPGrCG/vJHSOjvXvr2az24Y5Qt6dpXXc9mrK/wap/5ZVMOQFAtvXDmUKS8s9d3uOGysdruLrzftC2jou2lvLVe8/gfvzR7mW3LeW20LOav807ZSam0uYtupAbpZq6RXnCnoXk/wptuHt7J/mHBsxFHuAD2ijSy4dgRvL9/Dt5v3o1UpuGhwEhNzYo58IqouhB1fw5d3Hrpt48cQlgR/WeSd5j+OhGrgV1jeQFFlI1q1nI3FNdQ22fnPBX1wSRAfpsXSbKlmd3k9z/2YR1WTkzq7ix5RxqAnB51awSlZ3mnuy15bwf9d0p+yOjsfrirC6fFwXr8EzsiJwen2cM/HG/h5exk6lYKLhyRx4aBErnxjJXuaXSEnRehYcO0IBiRbuOHdNb6ARymXccXIFEZmWLn/s00hf/a6Fq7Gm/9s768MXcb+q437ODUr2q/o3Ht/FHLp0GTSj6Jz+gnPkgoTH4VRt4DHCSo9hCd39aiO2srdlTz9vX+9q6KqJiY9+ztf3jyKAcnhvP7bLkpqbfRLDOeKEalEm9VIHpk32++XnawpqCLKqGHa4CTqbC4e+3ILALFmLVP6J3DtW6t9S+YOt4eP1xSzrrCGeTOHtKlERl5pPQ+cm8O9n2zw228UZdRw24QsdpUH/8K+68wswg3+XyWpkQZemN6fBoeHOW+v8atRNTDZwtyZQ5gx9w8Kq5pweyRe/W0X95+TjVqu4J3lBX4Bj+9Y7qmiuNrmmzmWyQLPO3trbbz8y86A54K3qvP2/YeqNu+vDXyPgzwSAdllx8Ji8BYT/WrjvoDZPZVCxhUjUjHoxCxPZxBBTwdJjzJy6+mZ/GV4CjIZJIa3spCcox6+uivw9ppC+OEhOOu/YG55T0tX21vVSGWTk0XriimqaqJvQhgXDUniu037+O+323n58kFM9NuXI2NPhXfZ6YlvtvH0xf154ac8VuzyZpxolHKuGpVKbpyZFKuBn7eV0ehwM2v+arJiTIzPjibKpOHsPjFUNbm44MWlvk2PjQ43L/68kx+2lHLLaT35+8IN3Hp6JsPTI5DLZKzZU8WIdCtvXT2UmiYnTQ43FoOa9YXVuNxSyAw2mQySLHryy+rZtLcWnVpBVoyJKJMGbbM6Ph6JoM8/qNHhItrkv1+k3u4KqNJ8uLomB6V1DmpsTvQqBWF61VEVkDsuaUzefye43RXeYD6YeruLH7aWceWoNF+6eZhe4ZcGbTGqufec3tQ1OdEoZRRX2bjhvbW++68YmcLLv+wMukdwZ1k9W/fVtinoWVdYRX55A3OvGMLSnRXsr7WRmxBGilXPHR+u580rh/DGzCE8+2Meu8rrvZW8x2ccaLwbuCnZ4YYb3lkbUJRzTUEVD362mWcvHcDUF72zNtv21VLX5MYtuVi8IXQT1kVrirhgYAJrCqqYNSYd/WGZlA63J2QdI4DNe2uZmOM99xy+LNacUaPE2M7bEBItWl75yyDu/WSj7wIr0aLjX+f3Oer+eULbiaCnA5l1Ksy6Nl6t7/wpdFW8bYvhtPuA4zfoKa2xsSSvgrs/PrQP5o9dlby9Yg/zrxrGef3i+HhNEaMyIjBqvVc2Mpn3BLR9fz0VDQ5ufG8NM0akcs2YdJxuD/HhOtIj9Zh1amqbbCy6fiTP/rCDX7aXUdnoQCb37oWRy+Q898MOvyyPg7btr8PllvjyljG8/tsuZszLw+2WmJATS1aMCb1awbzfd/P5n3t9GWe3TcjkunE9/DY6HzRtUCKb99ZwywfrfbepFXKeuqgf43tF+zZ9Wo0qTs2O5q1lwVsajOkZxafr/LP9Ys1a1C10iy6qbOT9VYXMXbLLV8V6RA8rj07JPaaUWqF9SZKsxT1qWw40B20pmy/KqCHqwCbqaKOaD2YPp7rRiSRJWAxq/v116D50v2wv44yc1p8rJvSO4fstpXy1sYSyOjsalYIPVxWyo7SeFKsemQxOyY6mR7QRp9vTYtkF8ParC9XQ9JcdZdwzKdv3/+QIPQaNklqbE7ks9N4huUyGxaDif5cNJCfB7NeBHrz1xcw6JbVNwTP9smNN7K5oQJIkYs0aRqRHsCxIi4lZY9KIMbfv5nWLQcMpmZG8N2s4NU1OZDIwa1XtumFaOLKWK9B1knfeeYfx48fTp08fpk2bxp9//hnysQsWLGD69OkMGTKEIUOGMHPmzBYff8Kxh66eisft/Xccq3O4uP/TjQG325we/rZwA3NOyeDwc1qK1cAtp2X6/l/b5OL5H/OYNX8Vd3/0JyatEvOBqV+zTkt2nJkHJufwxc2j+WD2cG4Ym06y1UCDw82v24Nvbgb4ZXspb/y+i7dXFFDb5KLB4eaTtcVc+PIyGp1uvvizxC/F/qnvtjMgOZxHp+QSF+b9YrLoVdx+RiYzRqTy1wXr/V7f4fZw0/tr/XoAhek0zByZSniQjuUpVj0pVn1Ay4mbT8sg2RJ81sbm8KYVP/9jnl+DxmU7K5g1f5VvxkzoejK8e8xCyY5tW9sEuVxOVcE2+iWaGZQagUIua3Hz8eEziKFU1TvYWlLLorXFLNlRTk2Tk4uHJBNp1PhmaW6fkOlripsUoSc9ynjEvmMVDcH3y4D3uq6+WR2i2WPTiTRpiDGpObdfXMjnTRucyKAkC2f1iQva9DfapGbmyNSgzw3Xq7xL5P/9mcnP/c6rS3bz7wv7ccmQRF8PQbNOyZ0Tszh/YCLGDmgvoVB4K173Swqnb2K4CHi6QJcHPV9++SWPP/44N9xwA4sWLSI7O5urr76aiorg5d9XrFjB2Wefzfz583n//feJi4vjqquuYv/+0EXwTijpp4S+L64fqI6PJYxGuyvoSW1naX3QjZDgnXJ3eSQuGJjom+U5qG+imX+c3cuv8F+qVc9b1wwjMcgVV4xZS7JFR1XBNrRqBftrmmhwuNBrQhcONGiU7KsNHHN1o5N3VxRwWnZ0wH1/mfsH6wqreOeaYXz317EsvH4klw5N5rYF64LWWZEkWLDKfw9PUpiaj64byYUDEzBrlUQY1Fw9Ko03rhzq3/lap+QfZ/diXGZUyPL+e2tsvLIkeOrrzrIGv5pDQtdKjTRw4/iMoPcZ1ArGtSGzKpgYs5ZLhwXf7ySTwZm5oYOH5rbur2Py87/z1vICNhTX8M2m/Vz39moSwrVcOCiRf1/QlwHJliO/UJDxhaKUyzDrVOhUCv7drB2FQavm0qHJpAQJFkdnWMmMMRHTQruJmiYX5w9I4OLBSX4XVwnhOp6+qD+PLvbuh6qzu3h1ST63fbCO60/J4KtbxvL5TaNZdP0oZo5M8QvoKhqchCVlkV/eSFELhU6FE0OXL2/NmzePiy66iAsuuACABx98kJ9//pmPP/6Y2bNnBzz+ySef9Pv/I488wjfffMOyZcuYMmVKq9/X7W6/GZODr9Ueryk3xkDG6cjyvj/sDgXSGY/iMSdBO469rfbV2KlstCOTyVDIZVTWO9CpZL79JIf3ljqcR5LIijEFHKv4MC3TBsVzRu8YahqaUCtkRGjAGm4EmSzosW1+3Lftr+flX3dyXv8EXvk1eFAwMSeWm5vtiWjuh62lXDokmW83BwbPH60pZtbYHvSI9J4IS+sc7GthE+TuikbsThfKAym+CoWCNKuOv53Vi+tP9c50RRk06NRy7j+nF7ee3hOb04NZqyTWrEajVIT8W2pyun1NU4PZUlLL8LS2f0G1RXv+vZ/shqVFcPNpPXn5l0PZW/FhWp69dABxZm2bjuHhx10lh8uHpbBqVxWrm5WEkMvgXxf0JcqoOuLrF1bZ+NvCP4O2aXn6ux18dcsYEsO0KJXBP4MtMWtVjEi3siw/8AJ2yoAEdEo5i28ejUmrJEJ/aKyJ4VrevHIo32/Zz5cbStAoFVw6NIl+SeEkhoc+ZkXVNv6xaCNLd5YzY0Qqr18xBIfLQ0yYhsLKRh78fBO7K/yDllV7qiipsTE4Jdzv9oPvsbuiiSe+3ca3m/fj9kj0TwrnvnN6kWbVE9bWrQtCmwQ7z7THOadLgx6Hw8GmTZu49tprfbfJ5XJGjhzJ2rXBv5wO19TUhMvlIiysbbmFGzaEKNF7DNrjNXU6Hb0mPYm0eRGyla9BQzlS0jAYfx8eYxzr1q079oEepcikDOqcEk4P/O/nHeSVNpBq1XPduB5Ikoz60gIyYxJD1h9JtOgwaZVUF+dRvidwzX1gupWwgt+Q/fIfqN4DplikETdB9jms2XXoxBkXF4dTHUad3YkqugfFtQ7eW1nA0p0VXDEild+D9K26ZnQaZfX2oPt9wLtx0e4Kft/IHlb0arnv2BsjouibEMZvecFnI4enhpOft4PGxtBXhYG7CKDqwL+WhCVlolXJQ3bbTrHq2b59e4vv3V464jN0Mrp0UE8m94ujot6BRiUnTKdC56pny6b1R35yEM2Pu1Kp5L8X9GZ/vYvf8sqx6NWM7RmJ3FHHrm3ezMP0zF7UODxoFXJc9ZV+s+LqmB4BgcBBDreHvLJ6qNtPdXV1m8ep1+v59wV9eGTxFr7bsh9J8mYqTR2QwI3jMyjd5e13VwUEq2o2fVAvJvaOQamQoZXs5OdvJdTidVRKFn9d8KevHtgbS3fzxtLdqBVyPrtpFDe9ty7kOJfuLCfN6Kaw0H+GNiI5i8vnrvArY7GusJpLXlnOoutHUbJnJzZb6IsfoX2093mmS4Oeqqoq3G43Vqt/VU2r1Up+fujqlc098cQTREdHM3LkyDa9d58+fUIuIbSV2+1mw4YN7faaHoDhNyHvNRmQkBQaJFM8AP37t27KujX21zqod7hwuDwYNAqSwrXIDt9w46hH3lAGMqhVydmwr5ab3lvn22u9q7yBn7aV8fjUPpzWOxW3G24an8Ezh6XpymXw0OQc75KUJptamxOVQkb8gb0y2Gtg9TxkPzx06El1+5B9+w+kynwGjLkdyRhLvd3FjtIG7nl/FXkH9hskWnTccUYWLrfEbQvW8+F1IyiobGTxnyXo1QrO7htHokXH7vLQgcDlw1MwBlkasxrU3H9Ob+LMWuL69/fdfudEM7/v/D1gz3mYTsUZuXGHfq52Vmd3M21QEm8tD9wYbTWoyYg2kmw5tmWTI2nvv/fuIs1vyUZHVFTbfk8tHfeUSBia2nyGz4AnLpqCKjv/+3UPS/PLidCrmTkqjZ5p2b6/z80lLewhBCRJIjU1tU3jPNyDk3tzxxlZ1NtdmLRKtCo5Lo9Ev379As83h4n3rWxr6N/s83e4Lfvqg/bic7g9KGQyVAoZTnfwWegIgxqr1RrwPfTBqiK/gOcgp1vime+388iUXKKMIs28owT7ez9427Ho8uWtY/HKK6/w5ZdfMn/+fDSatu20VygU7X7CbvfXPFCMsOXTwtHJK63n4c838WteOZIEcWFa7j4zm8Ep4SQe3CBYmQ/LX4KNH4HHjan3FPrmXEuq1RCQlfLw4s0MTRtNj2gjFwxMpG9iGC//kk9xdRM58WZuODWDWJOGvLJGXvl1Jyt2VWLRezcdDk2zkOSpgCVPBhkpyFbPQzbsWlAoKK1r5PK5K/xmOoqqmrj9w/W8OmMwZ/eNY9GaYj7/cy/9ksJpqHf56ph8duMozusXz6eH9Rcanh7BqAwrcpmMz28czft/FLC/zsbIHlZOzYomLUhGVM8YI29cOZR/LNrg20czIDmcf1/Ql0SL/ogn86MVrlcwe2w6e6ub+GHrofYesWYtr84YTLJF12mBSEd8hjpDSbV3/9fy/EpqmhwMT48kyqhpU3p3V2rtcd9e2sDFLy/za1z6645yLh+ezLVje5AUocekVZIcoQ/alFelkJERbTrm33FcuB5HRQP/90M+32zaj8sjEWP21v4ZlWH1tc44Fi3V3NlX08TZfeOD9kRUyGWMzIgM+Bkb7S5+3lYW8jX/2F1Jo8N9Qv79n2ja+zzTpUGPxWJBoVAEbFquqKggMjKyxefOnTuXV155hXnz5pGdnd3iYwV/u8sbuOL1PyiuPrTptaTGxq0frOPVGYO8QU9lPrw1Fap2+x4jX/MGyVs/Z+6Uzzl9XoPfRt5Gh5vyejs9or1ZHUkRerJiTNhdHgwaJTFmLesLq7no5WW+vQ0Hg5XJ/eJ4YHw0VkeIzCPJAzWFNJnS+WBlYdClHbdH4oOVBdx6eia3vr/uwM/k36vn7o//5JmLB3DpsGQWrinG5fEwuV88aZEGXyZIogV6x/XG5pJabBeiVysZlxnFx3NGUtvkRCGXYdGrsRg6/sovKULPw+flcPsZmeypbMRqUBNl0gQ0NxUClVQ1sTS/grs+/rPZEux2Rvaw8u8L+h4xI+lEsbe6iUcXbwno1A7w9vICLh3i3QCdGmnk0am5XDlvZcB+vDsmZmFsQ2Pk8jobDQ434XqlX72hPRUNXPvWarbuOzSrtL/Wzt0f/8kT0/py4aDWH/M6m5OyOjsOlwe1Uk5imA61WkFkC5lqt3+4ngXXjmRDUbWvXxl4Z5//e2FfwoNkaWmUMr8q04eL0KtpoSuHcBzr0qBHrVaTk5PDsmXLOP300wHweDwsW7aMyy+/POTzXn31VV566SXmzp1Lnz59Omu4J41NJTV+AU9z//1mG5nRJlLyvvELeHwaK4je8R4Tss/lmy3+K+zyw84CzWtoFFY18sjizUEzuz5bX8J1Y1KwKjXgCpHmqjZRbXfxZ4hS+AC1Nherg7R7OGhNQTVNThfD060MTw/eqBC8VxaGVl5YxJi1IbNU9tU0UdPkYtWeSjweiaFpEYTpVO3SzyfeoifeAr3j26lOfjdRY3dyx0frA5Yll+6sYMGqQq4/JQOdunW/fJfLRVG1DWQyEsM0rSs+2kkaHW5+3xm6fMNP20rJOVDNODvWxGc3juLVJbvYtLeGhHAds8akkxyhIzZE0bzSWhuNDu9ylcPhYU91E3OX5LO3xkbfxDBmjkwjyqghwqimuKrJL+Bp7qlvtzMo2RJ0NvVwhZWNfLCygPnL9lBrcxFhUHPt2HQm9YklXKeiV5wpoPwDQP8kCwatnLlXDGH7/jp+zysnyqRhQu9YLAYVUabAn1GhUHDxkGTe/SN4NfUZI1J8KfzCiaXLP6VXXnkld999N7m5ufTt25c333yTpqYmzj//fADuuusuYmJiuP322wHvktazzz7Lk08+SUJCAmVl3ilIvV6PwSBqHrTGH0GKcR20fX89LkmCrV+EfIxx52JO7zuVb7Ycus2sVWJtYZbD5nSzcnfogOTnHZX0zj7H23Ij4A1jwBiNWaMgOULPH7uCjz+2lXVJOsPe6kbe+6OQ53/K8/uCnT02nStGpAQUVRM6x5cb9oWs/fnOigLOH5jQqhmzPRUNfLNxH5+s24tHkpjcL55JfeKOq7oroX5OwL/NhElLlEnLfedkU9vkRqeSExMiMN9b3UhRlbfVw+6KRjJjjFw7Np3qBjvfbfEut27aW8vCNcXMv2oow4zWoHttfK9XY8MWosSF3+OqGvm/77fz0ZpDS1SVDQ4e/2orVQ0OZo9N4/lLB3Lz+2v9khhGZ1j5x9m9iDLqiDJ6ywi0tmBjlFHN3Wdm8++vt/rdfmpWFBN6H78FYoWWdXnQM2nSJCorK3n22WcpKyujV69evPbaa77lrZKSEuTyQ+WE3n//fZxOJzfffLPf69x4443cdNNNnTr2E1VLa+jhepV32lbVwpey2kBTs0QnmQwem9oHqyF0CqccGXIZQWvbAMhlcjjlb5D/MzQeWu70xA+hZMp75JVJ7K/bz1+GJ5MRZeSZH7YHLHOd0y+epBZ+toHJ4e1eWj6UXWWNQVsQvPJrPsPTrSLo6SKlLez9qGxw0JoddHsqGpg1fxXb9x9qr7B13zY+Wl3E6zOHHBeBj04lZ0QPK8t2Bs8wPDVITaoIg5Yg9f58ahrt/Lq9nHsWHtpIurOsnq837eO5Swdwx4SePPGdN4HB7vLw90UbefuaocS3UFfnYGPVI2lwuPk4yJ4cgHlLdzNtcBI9oo3877JB1NqcVDU6iDRqMGkUh/YotlG8Rc+U/nGcmh3Fz9tKabC7OSUriiij5qRZBu2OujzoAbj88stDLme99dZbfv//8ccfO2NIJ7VTs6P4zzdbg2YzzBiRSpxZB4OuhB3fBn2+a/BsqmtMDEy2kRZpYObIVKKMWsL0oWda9Go54zKj+CnE5sBTsqMg0gxXfQtFf8DedbhTRrHJNJorXlpNVbPaNCPSrTx36QCuf2cNTreEQi7jxlMzyIw1oZTLuG5cOi/94p/9p1MpeODcnE4JNiob7Lz++66Q98/9LZ/ceHOL7QeEjjEqIzJkA9gBSeG+2kot+XlbmV/Ac1B+eQNfb9rHNaNSunypK8Gi596ze3Hxy8upt/vv67l4cBLh+raPr6LByUNfbA64XZLg/k838cHs4bz06y7O6x9PepSBygYndTYn/ZLCQ5ZZmDogAUsrxlJSYws5c2V3eahq9Pbbau/N6HHheqLdbiwyE5GRgRuehRPPcRH0CJ0rQq/if5cN4sb31vidiE7Ljmba4ES0agVE94beU2HzIv8nJ49EmT6GK3TxTB2QiEmrJFx/5M27ceF6/japF+uLag5cUR8y55QerCuoZktJLQOS4kjtPx36T6egvJ7LX/g9oI/OsvwKUiP1fDB7OCU1NrJiTRg0Sl+BxL8MT2FEj0jm/baLsno7Q1IjuGxYMomd1NTP5nBTWhe6BH9ZnT1k1Wqh/VQ12qlqcLJ9fx2VDQ76JIbTJyEsaLaSTAZ3nZl9xCv4oqpGvyrah/t8/V7Oyo0lxdr1p9Z0i55PbhjFO8v3sCy/AotBzZUjU+kVZyLJ0vbZj7I6e8jmuZUNDupsLp67dADv/lHAj1tLiTVr6ZsYRp94E6/NGMzst1b7PX9IqoXrT+lBhPHIn0tTC+02gFbvwzpaRUVFR0yuEU4MXf/JFDpdhFHL4BQZi28ew9Z9tVTVO+iXZCFcpzq0PBSRCqc/AEOugnXvgtsJfaZBVCZEpBEGtHU/bmaMiY+uG8HiDSUszasgwqDmrD6xbN5b65syT7TomH/VUNKjjGzfVx+yceDCNcVcMyYds7OSNGuM3xVYgkVPgkVPbrwJm9NDuF6FQeNdeqtptFPR4KSiwYFSLiNcryYpvH03oYbr1QxOsbAhxKbrgcneYy10nMp6B38W13D9O2v8vminDojnzauG8N+vt/HNgSq7GdFG7j27FynWI/9Byw4s04Yil8mQdUiRibbT6VRk6FT8dUImVzTYUSsVLS41HcmRqjDIgGvmr/JlxZXU2Lj2rdXMGpPGZUOTWDhnJGsKqqhocJARbaSk2saDn2/igcm5JB8h2AzXq0i06IK2WcmJN2PqpGVr4cQn/lK6qXCDhnCDhh4tZU1EpHn/JY/y/r8dpnbTo4zMHpXG5H5xPPtDHn9fuMEvrbaoqon/frONf53fh6Lq0MUE7S4PdTYnSl0Ue6vtJAWZ1rYedgVZXNXId1v289+vt/kqM0ebNDx1UT/6Job5mpoebn9NE0qlHKuhdRul9Rol04cl88GqwoArY41SzpWj0jCJoKdDVTY6mD1/dUB7hUVr95Ji1fPg5BxuPyMLl8eDVqUgxdq6mY8Ei45pgxNZFSJL8IKBCe26xFJU2Uitzckfu6rQquQMSslkX52dhPDWv4dZp8LcDn9vkSYNJo2SOnvghUiUSYNJqwxaif2133ZxyZBkznvhN8J0KkxaFXurm3wNc9Mid3Pz+J6YgzTlPSgt0rtfZ8brK/yWumPNWp6+qD/Jrfz9CYIIeoQja+d1bI1Gyc+ry/h4TfCNid9u3s+dZ2aRExc6HdtqULOzrIHbF6xnTM9IHp3a54hXiztK6/nnZ/57Ekrr7Fz95io+v3F0QNCzu7yBJTvK+HLjPrRKBdOHJZEVY27Vl1piuJb3Zg3ngc82sa6wGoA+CWH8c3IOSRaxl6ejLdlRFrSfFMDrv+/mvH4J9Ig+upTj4elW+ieF+36vB+XEm4NuED5ahZWNPP9jHh80a2Arl8G95/TmjN4x7VLUry2iDBoemZrLrR+s89tfo5DLePz8PixaUxT0eZcMSWJ5fgV2l4fSOnvA0u/7KwuZPiy5xaAHICtax8dzRrK5pJadZQ30ijXRM8bY6fWpiiobqXe4WFdQjUaloE9CGEa1gthjmEUTOo8IeoQuEWrZCryFBpscbuLCtGTHmoLW+LhyVBofrfKeZJfsKOe5H3Zwz1nZWI3BZ2OKKxt59ofAbCrwzhotWlfMHRN6+pbJdlc0cOUbK/0qT/+0rZSzcmO556zsI84M6DQq+iWF8/ylA2hwuJGQMKqVJIqsj05R3EK3+domF+6W8rmPIMVq4P8u6c/KXZV8tKYISfJuyB3Rw9rqGaPW+GN3pV/AA97sx4c+38zA5PBOD3pMOhUj0iP49IZRvP77bnaV1ZMZY2LmqFTCtCqueXNV0OelWA0h64IB1NtdQWeIDqdWq0mPUpPeipo+HaWwspFXfs33awOjlMt4cHIOp2ZFER/id1LX5KTO7sKsUWIUs7xdSgQ9QpcYmWHlye+C35cda+K3HeV8u2kfL10+iEcWb+bHraV4JDDrlFw9Kg3Ar3vzp+v2cu24HiGDHrvbQ355YMbNQdv21dHg8GDWKaizOXlneUFAqw2ArzbuY/qw5FZ/uYkgp2sMTrXw2m/BM+jSIw2oWpEm3ZIUq4EUq4FRGVYkZMe0VyaYPRUNvB5i/ADvriggK9qITtO5X6DRZh3RZh3/PLc39TYXZp0Ss05NQWUjOUEa/QL8ur2Uq0enh3zNFKselfLYfh+dZU1BVUDfO5dH4h+fbOTTG0cFBD37a5soq3Mwf9lu8ssayIo1cvnwVKJMaiJbsYFbaH8i6BG6RIxJy+gMa0CncrkMbhyfwX++3kZBZSNPfLuVh6fkcrfNRXWTk73VTXy8uohfd/hXm3W4Pb49AsGolXLSIw2sKaj2uz37QOZX34QwDGrvibe8zs6n64IvvQF8uKqIEWlWlCfIibo7yo41h9z4esfErHabkYlrw96atnB7pBYzAPfX2ml0edB1UT3OcL3aL2szOULPY1P7cNlrKwJS5Cf1iSc90kBaZGDPPoA7zsgi9QTYk1NcY+fVJaEbYb+7vIDMcw2+QLSuyc6q3VXc9N5aX32yVXuq+GBlEa9eMZjR6QpUqtBBq9PtTcXXqRSYgrTKEI6OOGsLXSIxQs/j5/fl9jMyiTJpUMplDE2L4KXLB/H5+r2+lOIvN+yjzuaiZ4wJySPxyBdb+GN3YEVms1aJoYW01USLnhvHZ/j+f3qvaObNHMKkPnH0TwpnaFqEt6UAIEFAH6LmnG4PdpeL7fvq2FxSS3FV6A3XQtdIjTTw5pVDGZcZ5cs6ijZpeGJaX/okHP+tOwxqBQOSwkPePywtotUb6ztLj0gDn94wipvGZzCyh5ULByWycM5I5DK488P1zL1iMKf3ivZlv8WYvb+P/knH/+8DwOX2sL82dCBaUtNEg+PQPrKyeid/W7ghoCCryyNx90d/UlQT/LU8Hg/5ZfU8/f12rntrDbcvWM/SvHL214ReIhRaT8z0CF0mKULPdWPSGZ0RSVFVE1tKavn7og2U1x+q4+ORwOV2Q+VuBmpq+HpiNXZdNDvt4fzt+3Lflfw1Y9KJNbf8JZAVY+L+c3qzanclozIi/dJr5/62i5x4M/+7bCDhBjVn9I4JWcRu6oAEPlhZxEOLvX04ekYbefC8HPomhGEUV2THjR7RRh6b2ocGhwuHy4NBrSTJcnz1yAolJkzHTeN78uPW0oAAPFyv4szc468NglGnwqhTcdMpGVQ2OZDhXXYuq3dwx5nZaOUy36yttxGxgqRw7Qnx+wDQqxX0TQzjhwPtNg43ONVCuO7QhVd5vT1ow1fwJlBUN8tCa277/nouemWZ377HbzfvZ84p6Vw9Ko3IIL3ChNY7Mf7ahJOWSqVAJoOb3lvruy0rxsSUAfGE6dTsr22ip7YWFl6DsmglB9uExocl8v7Ut7nyCwUTc2KY2j8B/RH2NyRY9FwwMJ6xmZGc8fSvAVdgm/bW8vKv+dxxRiazxqbz3eb9VBxWSHFgsoXMGBOz31rtu21HaT0z5v7BpzeM8jVxFI4PCZYTN6MmLkzDW1cP44HPNvoqQA9Li+CBc3NIDDtyQdCuolYriFV7j/vscT0CH3CCfkSijGpuHt+Tn7eVBWy8NmuVnN0n3i+AO9Le7GD3l9bZePCLzUETPf73cz7n9UsQQc8xEkGP0OWSLDpGpEewfFcl/zw3B5fHw/t/FFJaZ+cfExJRfH8fFK30f1JNEYmLL+ezGV/h0Me02AKjuTC95kCTyOD3f7ymiKtHp9EjysiH143gnRV7+G5zKTqVgouHJnFadjRz3g7MUnF5JF74KY/HpuYSfpwtOwgnpkiTlkiTlldnDKbR4UYuk6FXy4kP04p2CF0kJkzN6zMH88/PNvv2Jw1ICuehKbkkW/w/99EmDTqVIuheQ4teRUSQFP3aJlfIfmkAv+WVkx1nPsafonsTQY/QJXZXNLC1pJbf8sqJMWt56LxcSutsfLS6mEXNGgv2s7iQf/dZ8BepKUJbtwe1JaFV71lU2UheWR0FlaHXxm1Oj+8qLj3KyF9Py+SyYSnIZTLiwjTMfGMVm0uCZ4GtK6ymxuYSQY/Qrg5uuna73axbt474/v27dkAnuMLKBurtbqobHYTr1Rg1ylY3EI0164k165k300CDw4VCLvMumwZ5vkWv5N6ze/GPTzb63S6TwT8n5xBtDDIzfYRSCi3tNRRaRwQ9QlC7yxuos7mQkDBple1aAGx3eWANnKe/284zF/enzua/zq1020BqoU9VXUmr3rOm0c7CtcXM+30X95+bE/Jx2bEmNM2ysg7uUwBocrha3DcUY9aiVYncACG0gxWWf95WhtMjcWpWFBadOmhFcaH97alo4J6FG/xmU4alRfDvC/qSGtn6DLLWPNZi0HJKViTvzRrG/37eye6KRnpGG5lzSg8SLDoMQVLvjFolA5MtrCkIXvF7TE/R/+tYiaBH8FPbaGfLvnruWbjBF5TEhWl5eEouuQlmYs3HtkeitNbGk99uC0hd9Ujw1wXreXXGYL5vtlGwAR2o9OAMkSEVEWTPQBDl9U5e/DkPm9ODzemmd5yZzSWBNUX+Nik7ZEl7nVrJjBGpLFobvOHkNWPSiDnG4yOcvAorG5i/rMAv7fnp77ZzwcAEbjm9J8kRx3/a9omsqKqRfyzaGLB8tGJXJfcs/JMnpvVr94KPCRYDCRYDqZEGbE43epWCmBaaFsaG6Xjg3N5c/MqygK70Fw9JItJ4/O7lOlGIy1LBz746BzNe/8MvKCmpsTF7/ipKQ6RYtkWd3cVXG/cFvc/tkdi+v470ZldRc9c3Uj/ouqCPl5KGgj6iVe9b0eDwnUQeW7yF+87pxe0TemLUeD8C2bEm3rxyCD2PUO01yaLj/nN6ozis6+QVI1IYmGxp1ViE7mlPRWPQOi8frylmXWHw5rRC+7E5XZzXP553rxnG/y4fSG78ob0xy/MrW6wSf6ziwnSkRRpbDHgOyo418tmNo7l4cCLpkQYGp1h48bKB3HJaT3FR1Q7ETI/g02Bz8v4fBdhdgctJHgle+DmPh8/LJdocOntgT0UDRVVNbNpbQ5JFT3aciWSLzrfx0u70tLguXdvkRNes3s6nG8o5a+r5jBshQ7fqf94ZH5kcss+GCQ+zdb+NzFZkgxxcsrppfAaT+sSxfX8d0WYtH143ChkScrmczBjTEV8n0qTl/IEJjMuMYm1BFQ63h0EpEUQYVESJrAohhIp6O/OX7Ql5/xu/72ZAchhJFjHb0xH21TZRb/fw3eb9bC6pJSFcx60TMvF4JF8mZq0teAp5Z9OolGTGmLjv3N5UNzjRqBREmcQ+wfYigh7Bp9bmZENx6CvOzSW11NtdhGqpuKu8nmveXM3OskMbfcN0KubNHEK/RDPFNXY2762hR5TR7zHNjekZyRtLd/vd9rdvSvji+ptJGHQp2Gu9y13aMDyGGBp3rWvVzxauV/Gv8/ugVMg47/nf/ZpRXjo0mTnjQpfJD3wtbzXao21YKXQ/NqcnoPxBc1WNDlxusUm1o2wsrmX2/FW+rM2iqiZW7KrktgmZ3H9Obx76YjNhreiJVV5no8bmQpIkTFoVMS1cAB4ro0aFsZPbjHQHIugRfA5mMazcHXwTXWK4Hq0qeKrsvpom7v90U0AwU9PkZNb8VXx03Qjsbg8v/ryTm0/ryV8XrAtIVBiWFkGiRc+Ca0fwwcoCSmpsDE2zcnqvaBIijUC4/xPcodtOHC7FaqDe5uKc538LeN/3/ihgYHJ4yL08gnCsIgxqRmVEsnpP8M/WsLQIwrRiv0ZH2FXewP2fbAxapuLZH3bw+U2jGZ0RiUkb+uvQbDaTV9bIo4s3sySvHEmCgcnh3H9Ob3rFmdCoxFfpiULs6RF8TDo1V4xIDXn/tePSQzZWrGly8VteedD7KhocFFc3IZfJyC9v4MetpTx36QD6JnrXpcw6JVePTuP+c3qTFKEnNyGMf57bm6cv6sfssent0lXZ7XazYFVRyIzQ15bsYndFYF8gQWgPOrWCKf3jCQ9Sm0WnUnDV6DQixCbVDlHb5GRvjS3ofS6PxO7yBv51QW6Lm5jlYbFc8soyft1R7juHrCmo5uJXlrO7QrShOZGIoEfwE2XS8J8L+/qlbasUMu44I5OMFoIPm9PdYomJigYHBo2CwSkWPlu/l8cWb2FC7xhevGwgD5yTw87Ser/O1wqFApOu/b4EbC6J4urQJ6d9tTY8ogaG0IESw9R8MHuEXz+wYWkRfHDtcOLMYhmjoxyedHA4tVJOYgt7qTweicUbSqgK0jbC7vLw8i/5AaU2hOOXmJMT/MSH6xifHcWgW8awp6IRl9tDepQRk0ZOTFjoKyGTVolJo6TOHjwDIiPKSEK4ngfPy+GSl5ezt8bGk99u991/+xmZGDQdV2XWoFEyNDXCLx2+udwEc8ilO0FoD2q1mqxYNY+f34dGhwtJ8s4AtXea9PHM5fKgVHbutbZRo6RHlIGdZYEzuRql/Ig1d2rsbpa2UCX5j92VVDc4RSf0E4QIeoQAkUYtkUbo0YZlpVizlutO6cF/v9kWcN/YzEjftH66Rc8nN4zi47VFrNxVSbRJwxUjU4kL05HQwSf/03vH8MLPO6lp8r8qk8ngtgmZIZfuBKE9dce/s11l9fy6o5xl+RUkhOu4cGAiEQZlixdS7SU10sC/LujL5a+tCMhMfXhKLmG6lr8GdUo5EYbQs85Wgxq1suXZJOH4IYIeoV3oNUqm9I9Ho5Tz4s87qWxwoFXJuXBgIteO6+ELaHQ6FT10Km46tSfVw+zoVErCWzihtKekcA3vzhrGfZ9sZE1Btfe2CB0PnJtDfJhICRWEjrBtXy3TX13hl732+u+7+O+FfRmXKSPK1DFBYHWjnYoGJ3/sqiRcp+Tzm0azYGUhG4prSLTomDEilSiThkhjyxlYWpWcK0ak8uWG4PXFrhyV1qr6O8LxQQQ9QrtJsOiZMSKF8dnR2JxuNEoF0SYNpiCpoDq1Ap26c6f1VSoVOfFhPHvpAOptLlweCaNGQWo7ttgQBOGQoqpG7v90U0C6viTB3xZu4OtbxhJ15PJYbVbdYGfD3lqueXOVb3ZHKYe/n5XNzFH9CNMq27RnMEorcdP4DJ77Mc/v9qkD4hmSKoqSnkhE0CO0K7VS0S7ZVh2pO+2hEISu1GB3s2JXZdD7nG6JDcU1HVLvqqLRyXVvrfZbznJ54KHFW1maX8nDU3JpywRTVckeZgzP4Zy+cfy6vRyH2824zGgijWpixSzPCUUEPYIgCEKHcHlaaBYM1IdIfDhW2/fV0eAIXsfrx62l3G1zQSsquTcXYVARZdaSFWs+8oOF45ZIWRcEQRA6hF6tJDki9MzqwOTwDnnf8vrQfQI9EtiCtNoRugcR9AiCIAgdIi3SwD/P7e2rS9Tc1AHxLVZBPhZ9EkNP40SZNBjVojxFdyWCHkEQBKHD9IozsuDaEYxIt6JXK0iLNPDIlBxum5BJUkTHtH6JMGgYnWENet+dZ2SRZBHNgbsrsadHEARB6DBx4Qbiwg38d1pfHC4PcpnsiAUBj1VyhJ7Hz+/LvN938cHKQhocbpIidNw+IYtBKRaUSvHV112J37wgCILgp7bJSWWDA5VC1m5FQzs7azIpQs+tp2dy+fAUnG4JtVJOWgcHW8LxTwQ9giAIAgCNTU721tl4e3kBv+eVE65XMWNEKv0Sw0m2nnilHsw6FeYgdcKE7ksEPYIgCAIAe6qbuOilZX499FburmJyv3jumJjVYiaWIJwIxEZmQRAEgb3VTfz7q61BmwZ/tn4vFS2kgQvCiUIEPYIgCAJNTje/7CgLef93m/d34mgEoWOIoEcQBEFABsiDFdQ5eL9oJC6cBMSeHkEQBAG9WsH47Ci+21wa9P6JObGdPKKTW1FlI3V2F99u2kedzcUpWVEkRehJsYoMs44kgh6h2yqpbqTJ6UEmk5EUrhG1O4RuLTZMx50Ts1m1u4qqRqfffZcMScKiF1lQ7aWwooEvN+3j8S+3+m577bddDE6x8NTF/UjuoKKNggh6hG6orM5GSbWNp7/fzsrdVVgM3rTcM3NiSRLZKUI3lhlj4uM5I1m0tpglO8oJ06m4YmQKGdEm8dloR9U2l1/Ac9CqPVV8tLqYOeN6oBOtMjqECHqEbmdXeSPTX12OyyMB3k7Pjy7ewtK8ch6cnEOymF4WurH0KCPXn5LBRYOT0KjkRJtEy4b29sna4pD3vbeigKn940mLMnbiiLoPsZFZ6FYKKht4ZPFmX8DT3E/byiivd3TBqATh+KJTK0iK0IuAp4NUNIRO/69pcopd4x1IBD1Ct2JzevizqCbk/b9sD52yKwiC0B7GZ0WHvG94egQapfhq7ijiyArdilwmQyEPfRVl1IoVX0EQOlbfxPCgfcCUchm3n5FFfLiuC0bVPYigR+hWTBolE3oFv8qSyWBcz6hOHpEgCN1NaqSBeTOHcNHgRN+szuAUCwuuHUFCmFhS7EjislboVmLCtNw5MZv1RTWU1Nj87vv7pF7o1eI6QBCEjpcaaeDuM7OYM64HHkCtlJPUyZ3ouyMR9AjdTo9oI+9eM5wVuyr4eXsZUUY10wYnYTVoSLCIaWVBEDqH1ajFKpK0OpUIeoRuKS3KQFqUgSn949GqxcdAEAShOxBz+UK3JgIeQRCE7kMEPYIgCIIgdAsi6BEEQRAEoVsQc/tCp9hfY6PB4UKpkIlmeoIgCEKXEEGP0KFKa2zsq7Px/I95/FlUQ4xZw6wx6fRLChcNDAVBEIROJYIeoUNtK61j5ryVuA/0utpXa+PG99ZyxYgUZo1NJ1HUpRAEQRA6idjTI3SY3eUNPPDpJl/A09yby/bQYHd3wagEQRCE7koEPUKHabC7yC9vCHn/usKqThyNIAiC0N2JoEfoMC019gRQKxWdNBJBEARBEEGP0IEMaiX9EsOC3qeUy+iTYO7kEQmCIAjdmQh6hA6TZNXzyJRcTJrA/fL3n9sbY5DbBUEQBKGjiG8doUNlWA18cuMoPl+3l1V7qogL03LZ8GSiDBpiw0RzT0EQBKHzHBdBzzvvvMPcuXMpKysjOzub++67j759+4Z8/FdffcX//d//UVxcTGpqKnfccQfjxo3rxBELraXTqeihU3H9uB5U25zoVQqMOlVXD0sQBEHohrp8eevLL7/k8ccf54YbbmDRokVkZ2dz9dVXU1FREfTxa9as4fbbb+fCCy/kk08+4bTTTuOGG25g+/btnTxyoS3UagXRZq0IeARBEIQu0+UzPfPmzeOiiy7iggsuAODBBx/k559/5uOPP2b27NkBj58/fz5jxozhmmuuAeDWW29l6dKlvP322zz00EOtfl+3u/1qxBx8rfZ8TeHIxHHvGuK4dw1x3LuGOO5dI9hxb4/fQZcGPQ6Hg02bNnHttdf6bpPL5YwcOZK1a9cGfc66deuYOXOm322jR4/m+++/b9N7b9iwoc3j7YrXFI5MHPeuIY571xDHvWuI49412vu4d2nQU1VVhdvtxmq1+t1utVrJz88P+pzy8nIiIyMDHl9eXt6m9+7Tpw8KRfvUiXG73WzYsKFdX1M4MnHcu4Y47l1DHPeuIY571wh23A/ediy6fHmrqygUinb/A+6I1xSOTBz3riGOe9cQx71riOPeNdr7uHfpRmaLxYJCoQjYtFxRUREwm3NQZGRkwKxOS48XBEEQBEGALg561Go1OTk5LFu2zHebx+Nh2bJlDBgwIOhz+vfvz/Lly/1uW7p0Kf379+/IoQqCIAiCcILr8pT1K6+8kgULFrBo0SJ27tzJP//5T5qamjj//PMBuOuuu3jyySd9j58xYwZLlizh9ddfZ+fOnTz33HNs3LiRyy+/vKt+BEEQBEEQTgBdvqdn0qRJVFZW8uyzz1JWVkavXr147bXXfMtVJSUlyOWHYrOBAwfyxBNP8Mwzz/DUU0+RmprKCy+8QGZmZlf9CIIgCIIgnAC6POgBuPzyy0PO1Lz11lsBt5111lmcddZZHT0sQRAEQRBOIl2+vCUIgiAIgtAZjouZns4kSRIgKjKfDMRx7xriuHcNcdy7hjjuXaOliswHv8ePhkw6lmefgBwOh6isKQiCIAgnqD59+qBWq4/qud0u6PF4PLhcLuRyOTKZrKuHIwiCIAhCK0iShMfjQalU+iU4tUW3C3oEQRAEQeiexEZmQRAEQRC6BRH0CIIgCILQLYigRxAEQRCEbkEEPYIgCIIgdAsi6BEEQRAEoVsQQY8gCIIgCN2CCHoEQRAEQegWRNAjCIIgCEK3IIKeVnrnnXcYP348ffr0Ydq0afz5558tPv6rr77izDPPpE+fPpx77rn88ssvnTTSk0tbjvuCBQuYPn06Q4YMYciQIcycOfOIvychuLb+vR+0ePFisrKyuP766zt4hCenth732tpaHnzwQUaPHk1ubi4TJ04U55qj0Nbj/sYbbzBx4kT69u3LuHHjeOyxx7Db7Z002pPDypUrue666xg9ejRZWVl8//33R3zOihUrmDp1Krm5uUyYMIGFCxe2/Y0l4YgWL14s5eTkSB999JG0Y8cO6d5775UGDx4slZeXB3386tWrpV69ekmvvvqqlJeXJz399NNSTk6OtG3btk4e+Ymtrcf9tttuk95++21p8+bNUl5ennTPPfdIgwYNkvbt29fJIz+xtfW4H1RYWCiNGTNGmj59ujRnzpxOGu3Jo63H3W63S+eff740a9YsadWqVVJhYaG0YsUKacuWLZ088hNbW4/7Z599JuXm5kqfffaZVFhYKC1ZskQaNWqU9Nhjj3XyyE9sP//8s/TUU09J3377rZSZmSl99913LT6+oKBA6tevn/T4449LeXl50ltvvSX16tVL+vXXX9v0viLoaYULL7xQevDBB33/d7vd0ujRo6WXX3456ONvueUWafbs2X63TZs2Tbrvvvs6dJwnm7Ye98O5XC5pwIAB0qJFizpohCenoznuLpdLuvjii6UFCxZId999twh6jkJbj/u7774rnXbaaZLD4eisIZ6U2nrcH3zwQWnGjBl+tz3++OPSJZdc0qHjPJm1Juj5z3/+I5199tl+t916663SVVdd1ab3EstbR+BwONi0aRMjR4703SaXyxk5ciRr164N+px169YxYsQIv9tGjx7NunXrOnKoJ5WjOe6Ha2pqwuVyERYW1lHDPOkc7XF/4YUXsFqtTJs2rTOGedI5muP+448/0r9/fx566CFGjhzJOeecw0svvYTb7e6sYZ/wjua4DxgwgE2bNvmWwAoLC/nll18YN25cp4y5u2qv71VlO47ppFRVVYXb7cZqtfrdbrVayc/PD/qc8vJyIiMjAx5fXl7eYeM82RzNcT/cE088QXR0tN8JTWjZ0Rz3VatW8dFHH/HJJ590wghPTkdz3AsLC1m+fDnnnnsur7zyCgUFBTz44IO4XC5uvPHGzhj2Ce9ojvu5555LVVUV06dPR5IkXC4Xl1xyCdddd11nDLnbCva9GhkZSX19PTabDa1W26rXETM9wknplVde4csvv+T5559Ho9F09XBOWvX19dx11108/PDDREREdPVwuhVJkrBarTz88MPk5uYyadIkrrvuOt5///2uHtpJbcWKFbz88ss88MADLFy4kOeff55ffvmFF154oauHJrSCmOk5AovFgkKhoKKiwu/2ioqKgKjzoMjIyIBZnZYeLwQ6muN+0Ny5c3nllVeYN28e2dnZHTnMk05bj3thYSHFxcXMmTPHd5vH4wGgd+/efP311yQnJ3fsoE8CR/P3HhUVhVKpRKFQ+G5LT0+nrKwMh8OBWq3u0DGfDI7muP/f//0fkydP9i3lZmVl0djYyP3338+cOXOQy8VcQkcI9r1aXl6O0Whs9SwPiJmeI1Kr1eTk5LBs2TLfbR6Ph2XLljFgwICgz+nfvz/Lly/3u23p0qX079+/I4d6Ujma4w7w6quv8uKLL/Laa6/Rp0+fzhjqSaWtxz09PZ3PP/+cTz75xPdv/PjxDBs2jE8++YTY2NjOHP4J62j+3gcOHEhBQYEvyATYvXs3UVFRIuBppaM57jabLSCwORh4SpLUcYPt5trte7Vte6y7p8WLF0u5ubnSwoULpby8POm+++6TBg8eLJWVlUmSJEl33nmn9MQTT/gev3r1aql3797S3Llzpby8POnZZ58VKetHoa3H/eWXX5ZycnKkr7/+WiotLfX9q6+v76of4YTU1uN+OJG9dXTaetz37t0rDRgwQHrooYek/Px86aeffpJGjBghvfjii131I5yQ2nrcn332WWnAgAHSF198IRUUFEi//fabdPrpp0u33HJLF/0EJ6b6+npp8+bN0ubNm6XMzExp3rx50ubNm6Xi4mJJkiTpiSeekO68807f4w+mrP/73/+W8vLypLfffvuoUtbF8lYrTJo0icrKSp599lnKysro1asXr732mm/6s6SkxC/yHzhwIE888QTPPPMMTz31FKmpqbzwwgtkZmZ21Y9wQmrrcX///fdxOp3cfPPNfq9z4403ctNNN3Xq2E9kbT3uQvto63GPi4tj7ty5PP7440yePJmYmBhmzJjBrFmzuupHOCG19bjPmTMHmUzGM888w/79+4mIiODUU0/lr3/9a1f9CCekjRs3MmPGDN//H3/8cQCmTp3Kv/71L8rKyigpKfHdn5SUxMsvv8zjjz/O/PnziY2N5ZFHHmHMmDFtel+ZJIn5OEEQBEEQTn7ick0QBEEQhG5BBD2CIAiCIHQLIugRBEEQBKFbEEGPIAiCIAjdggh6BEEQBEHoFkTQIwiCIAhCtyCCHkEQBEEQugUR9AiCIAiC0C2IoEcQBEEQhG5BBD2CIJxUSktLuf3225k4cSLZ2dk8+uijXT0kQRCOEyLoEQThpOJwOLBYLMyZM4fs7OyuHo4gCMcREfQIgnBCqaysZNSoUbz00ku+29asWUNubi7Lli0jMTGRe++9lylTpmAymbpwpIIgHG9E0CMIwgklIiKCxx57jOeff54NGzZQX1/PXXfdxWWXXcaIESO6eniCIBzHlF09AEEQhLYaN24c06ZN44477iA3NxedTsftt9/e1cMSBOE4J2Z6BEE4Id1999243W6++eYbnnjiCdRqdVcPSRCE45wIegRBOCEVFBRQWlqKx+OhuLi4q4cjCMIJQCxvCYJwwnE4HNx5551MmjSJtLQ07r33Xj7//HOsVmtXD00QhOOYmOkRBOGE8/TTT1NXV8e9997LrFmzSE1N5e9//7vv/i1btrBlyxYaGhqorKxky5Yt5OXldeGIBUE4HsgkSZK6ehCCIAittWLFCq666irefPNNBg8eDEBRURHnnXcet99+O9OnTycrKyvgeQkJCfz444+dPVxBEI4jIugRBEEQBKFbEMtbgiAIgiB0CyLoEQRBEAShWxBBjyAIgiAI3YIIegRBEARB6BZE0CMIgiAIQrcggh5BEARBELoFEfQIgiAIgtAtiKBHEARBEIRuQQQ9giAIgiB0CyLoEQRBEAShWxBBjyAIgiAI3cL/A53/E+o151PRAAAAAElFTkSuQmCC"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "gsd_tt = TableTransformer([\n",
+    "    ChainTransformer([ClampTransformer(lower=0, upper=1), MinMaxTransformer(lower=0, upper=1) ]),\n",
+    "    ChainTransformer([ClampTransformer(lower=0, upper=1), MinMaxTransformer(lower=0, upper=1) ]),\n",
+    "    ChainTransformer([LabelTransformer()]), # y\n",
+    "])\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10.0, 1e-9, verbose=True, tree_height=7)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "meta_data = {\n",
+    "    'x1' : {'type': 'float', 'lower': 0, 'upper': 1},\n",
+    "    'x2' : {'type': 'float', 'lower': 0, 'upper': 1},\n",
+    "    'y' : {'type': 'string', 'size': 2},\n",
+    "}\n",
+    "synth.fit(data_df,\n",
+    "          meta_data=meta_data,\n",
+    "          N_prime=2000)\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "sync_df = synth.sample(10000)\n",
+    "plot_2d(sync_df)\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "AIM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting with 30000 dimensions\n",
+      "3\n",
+      "Initial Sigma 4.944411949770374\n",
+      "Selected ('col1', 'col2') Size 300 Budget Used 0.07708333333333334\n",
+      "Selected ('col2',) Size 3 Budget Used 0.09791666666666667\n",
+      "(!!!!!!!!!!!!!!!!!!!!!!) Reducing sigma 2.472205974885187\n",
+      "Selected ('col0', 'col2') Size 300 Budget Used 0.18125\n",
+      "Selected ('col1',) Size 100 Budget Used 0.26458333333333334\n",
+      "Selected ('col2',) Size 3 Budget Used 0.34791666666666665\n",
+      "Selected ('col0',) Size 100 Budget Used 0.43124999999999997\n",
+      "(!!!!!!!!!!!!!!!!!!!!!!) Reducing sigma 1.2361029874425935\n",
+      "Selected ('col0', 'col1') Size 10000 Budget Used 1.0\n",
+      "Estimating marginals\n",
+      "elapsed time= 31.377\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "t0 = time.time()\n",
+    "# aim = AIMSynthesizer(epsilon=2.0,  verbose=True)\n",
+    "bin_tt = TableTransformer([\n",
+    "    ChainTransformer([BinTransformer(bins=100, lower=0, upper=1)]), # y\n",
+    "    ChainTransformer([BinTransformer(bins=100, lower=0, upper=1)]), # y\n",
+    "    ChainTransformer([LabelTransformer()]), # y\n",
+    "])\n",
+    "synth = Synthesizer.create('aim', epsilon=10.0, delta=1e-9, verbose=True)\n",
+    "synth.fit(data_df,\n",
+    "          # continuous_columns=['x1', 'x2'],\n",
+    "          # categorical_columns=['y'],\n",
+    "        transformer=bin_tt)\n",
+    "print(f'elapsed time= {time.time() - t0:.3f}')\n",
+    "aim_sync_df = synth.sample(samples=10000)\n",
+    "plot_2d(aim_sync_df)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " GSD"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run GSD\n",
+    "#\n",
+    "# t0 = time.time()\n",
+    "# gsd = GSDSynthesizer(epsilon=1.0, delta=1e-9, verbose=True)\n",
+    "# gsd.fit(adult_df_train, N_prime=5000, categorical_columns=categorical_columns)\n",
+    "#\n",
+    "# print(f'elapsed time= {time.time() - t0:.3f}')\n",
+    "# gsd_adult_df = gsd.sample()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "elapsed time= 503.126\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# lass snsynth.pytorch.nn.dpctgan.DPCTGAN(embedding_dim=128, generator_dim=(256, 256), discriminator_dim=(256, 256), generator_lr=0.0002, generator_decay=1e-06, discriminator_lr=0.0002, discriminator_decay=1e-06, batch_size=500, discriminator_steps=1, verbose=True, epochs=300, pac=1, cuda=True, disabled_dp=False, delta=None, sigma=5, max_per_sample_grad_norm=1.0, epsilon=1, loss='cross_entropy')\n",
+    "\n",
+    "gens = ['pategan']\n",
+    "\n",
+    "for g_name in gens:\n",
+    "    synth = Synthesizer.create(g_name, epsilon=10.0, delta=1e-9,\n",
+    "                               # verbose=True,\n",
+    "                               # epochs=100,\n",
+    "                               # embedding_dim=8,\n",
+    "                               # generator_dim=(16, 16),\n",
+    "                               # discriminator_dim=(16, 16),\n",
+    "                               )\n",
+    "    synth.fit(data_df,\n",
+    "              transformer=real_valued_tt,\n",
+    "              continuous_columns=['x1', 'x2'],\n",
+    "                categorical_columns=['y'])\n",
+    "    # transformer=tt,\n",
+    "    print(f'elapsed time= {time.time() - t0:.3f}')\n",
+    "    aim_sync_df = synth.sample(10000)\n",
+    "    plot_2d(aim_sync_df)\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/giuseppe/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/opacus/privacy_engine.py:638: UserWarning: The sample rate will be defined from ``batch_size`` and ``sample_size``.The returned privacy budget will be incorrect.\n",
+      "  warnings.warn(\n",
+      "/home/giuseppe/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/opacus/privacy_engine.py:229: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_rng`` turned on.\n",
+      "  warnings.warn(\n",
+      "/home/giuseppe/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/torch/nn/modules/module.py:1117: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.\n",
+      "  warnings.warn(\"Using a non-full backward hook when the forward contains multiple autograd Nodes \"\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyboardInterrupt\u001B[0m                         Traceback (most recent call last)",
+      "Cell \u001B[0;32mIn[109], line 2\u001B[0m\n\u001B[1;32m      1\u001B[0m synth \u001B[38;5;241m=\u001B[39m Synthesizer\u001B[38;5;241m.\u001B[39mcreate(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdpgan\u001B[39m\u001B[38;5;124m'\u001B[39m, epsilon\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m10.0\u001B[39m, delta\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1e-9\u001B[39m)\n\u001B[0;32m----> 2\u001B[0m \u001B[43msynth\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfit\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata_df\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m      3\u001B[0m \u001B[43m          \u001B[49m\u001B[43mtransformer\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mreal_valued_tt\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m      4\u001B[0m \u001B[43m          \u001B[49m\u001B[43mcontinuous_columns\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mx1\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mx2\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m      5\u001B[0m \u001B[43m            \u001B[49m\u001B[43mcategorical_columns\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43my\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m      6\u001B[0m \u001B[38;5;66;03m# transformer=tt,\u001B[39;00m\n\u001B[1;32m      7\u001B[0m \u001B[38;5;28mprint\u001B[39m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124melapsed time= \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mtime\u001B[38;5;241m.\u001B[39mtime()\u001B[38;5;250m \u001B[39m\u001B[38;5;241m-\u001B[39m\u001B[38;5;250m \u001B[39mt0\u001B[38;5;132;01m:\u001B[39;00m\u001B[38;5;124m.3f\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m'\u001B[39m)\n",
+      "File \u001B[0;32m~/Code/smartnoise-sdk-gsd/synth/snsynth/pytorch/nn/dpgan.py:192\u001B[0m, in \u001B[0;36mDPGAN.fit\u001B[0;34m(self, data, transformer, categorical_columns, ordinal_columns, continuous_columns, preprocessor_eps, nullable, *ignore)\u001B[0m\n\u001B[1;32m    191\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mfit\u001B[39m(\u001B[38;5;28mself\u001B[39m, data, \u001B[38;5;241m*\u001B[39mignore, transformer\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, categorical_columns\u001B[38;5;241m=\u001B[39m[], ordinal_columns\u001B[38;5;241m=\u001B[39m[], continuous_columns\u001B[38;5;241m=\u001B[39m[], preprocessor_eps\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0.0\u001B[39m, nullable\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m):\n\u001B[0;32m--> 192\u001B[0m     \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mtrain\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtransformer\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mtransformer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcategorical_columns\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcategorical_columns\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mordinal_columns\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mordinal_columns\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcontinuous_columns\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcontinuous_columns\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpreprocessor_eps\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mpreprocessor_eps\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mnullable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnullable\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/Code/smartnoise-sdk-gsd/synth/snsynth/pytorch/nn/dpgan.py:163\u001B[0m, in \u001B[0;36mDPGAN.train\u001B[0;34m(self, data, categorical_columns, ordinal_columns, update_epsilon, transformer, continuous_columns, preprocessor_eps, nullable)\u001B[0m\n\u001B[1;32m    161\u001B[0m loss_g \u001B[38;5;241m=\u001B[39m criterion(output_g\u001B[38;5;241m.\u001B[39msqueeze(), label_g)\n\u001B[1;32m    162\u001B[0m loss_g\u001B[38;5;241m.\u001B[39mbackward()\n\u001B[0;32m--> 163\u001B[0m \u001B[43moptimizer_g\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mstep\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    165\u001B[0m \u001B[38;5;66;03m# manually clear gradients\u001B[39;00m\n\u001B[1;32m    166\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m p \u001B[38;5;129;01min\u001B[39;00m discriminator\u001B[38;5;241m.\u001B[39mparameters():\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/torch/optim/optimizer.py:140\u001B[0m, in \u001B[0;36mOptimizer._hook_for_profile.<locals>.profile_hook_step.<locals>.wrapper\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m    138\u001B[0m profile_name \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mOptimizer.step#\u001B[39m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[38;5;124m.step\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;241m.\u001B[39mformat(obj\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__class__\u001B[39m\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__name__\u001B[39m)\n\u001B[1;32m    139\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m torch\u001B[38;5;241m.\u001B[39mautograd\u001B[38;5;241m.\u001B[39mprofiler\u001B[38;5;241m.\u001B[39mrecord_function(profile_name):\n\u001B[0;32m--> 140\u001B[0m     out \u001B[38;5;241m=\u001B[39m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    141\u001B[0m     obj\u001B[38;5;241m.\u001B[39m_optimizer_step_code()\n\u001B[1;32m    142\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m out\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/torch/optim/optimizer.py:23\u001B[0m, in \u001B[0;36m_use_grad_for_differentiable.<locals>._use_grad\u001B[0;34m(self, *args, **kwargs)\u001B[0m\n\u001B[1;32m     21\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m     22\u001B[0m     torch\u001B[38;5;241m.\u001B[39mset_grad_enabled(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdefaults[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdifferentiable\u001B[39m\u001B[38;5;124m'\u001B[39m])\n\u001B[0;32m---> 23\u001B[0m     ret \u001B[38;5;241m=\u001B[39m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m     24\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[1;32m     25\u001B[0m     torch\u001B[38;5;241m.\u001B[39mset_grad_enabled(prev_grad)\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/torch/optim/adam.py:234\u001B[0m, in \u001B[0;36mAdam.step\u001B[0;34m(self, closure, grad_scaler)\u001B[0m\n\u001B[1;32m    231\u001B[0m                 \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mRuntimeError\u001B[39;00m(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m`requires_grad` is not supported for `step` in differentiable mode\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[1;32m    232\u001B[0m             state_steps\u001B[38;5;241m.\u001B[39mappend(state[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mstep\u001B[39m\u001B[38;5;124m'\u001B[39m])\n\u001B[0;32m--> 234\u001B[0m     \u001B[43madam\u001B[49m\u001B[43m(\u001B[49m\u001B[43mparams_with_grad\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    235\u001B[0m \u001B[43m         \u001B[49m\u001B[43mgrads\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    236\u001B[0m \u001B[43m         \u001B[49m\u001B[43mexp_avgs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    237\u001B[0m \u001B[43m         \u001B[49m\u001B[43mexp_avg_sqs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    238\u001B[0m \u001B[43m         \u001B[49m\u001B[43mmax_exp_avg_sqs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    239\u001B[0m \u001B[43m         \u001B[49m\u001B[43mstate_steps\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    240\u001B[0m \u001B[43m         \u001B[49m\u001B[43mamsgrad\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mamsgrad\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    241\u001B[0m \u001B[43m         \u001B[49m\u001B[43mbeta1\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mbeta1\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    242\u001B[0m \u001B[43m         \u001B[49m\u001B[43mbeta2\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mbeta2\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    243\u001B[0m \u001B[43m         \u001B[49m\u001B[43mlr\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mlr\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    244\u001B[0m \u001B[43m         \u001B[49m\u001B[43mweight_decay\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mweight_decay\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    245\u001B[0m \u001B[43m         \u001B[49m\u001B[43meps\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43meps\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    246\u001B[0m \u001B[43m         \u001B[49m\u001B[43mmaximize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mmaximize\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    247\u001B[0m \u001B[43m         \u001B[49m\u001B[43mforeach\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mforeach\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    248\u001B[0m \u001B[43m         \u001B[49m\u001B[43mcapturable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mcapturable\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    249\u001B[0m \u001B[43m         \u001B[49m\u001B[43mdifferentiable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mdifferentiable\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    250\u001B[0m \u001B[43m         \u001B[49m\u001B[43mfused\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgroup\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mfused\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    251\u001B[0m \u001B[43m         \u001B[49m\u001B[43mgrad_scale\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgrad_scale\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    252\u001B[0m \u001B[43m         \u001B[49m\u001B[43mfound_inf\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mfound_inf\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    254\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m loss\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/torch/optim/adam.py:300\u001B[0m, in \u001B[0;36madam\u001B[0;34m(params, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, foreach, capturable, differentiable, fused, grad_scale, found_inf, amsgrad, beta1, beta2, lr, weight_decay, eps, maximize)\u001B[0m\n\u001B[1;32m    297\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m    298\u001B[0m     func \u001B[38;5;241m=\u001B[39m _single_tensor_adam\n\u001B[0;32m--> 300\u001B[0m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[43mparams\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    301\u001B[0m \u001B[43m     \u001B[49m\u001B[43mgrads\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    302\u001B[0m \u001B[43m     \u001B[49m\u001B[43mexp_avgs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    303\u001B[0m \u001B[43m     \u001B[49m\u001B[43mexp_avg_sqs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    304\u001B[0m \u001B[43m     \u001B[49m\u001B[43mmax_exp_avg_sqs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    305\u001B[0m \u001B[43m     \u001B[49m\u001B[43mstate_steps\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    306\u001B[0m \u001B[43m     \u001B[49m\u001B[43mamsgrad\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mamsgrad\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    307\u001B[0m \u001B[43m     \u001B[49m\u001B[43mbeta1\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mbeta1\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    308\u001B[0m \u001B[43m     \u001B[49m\u001B[43mbeta2\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mbeta2\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    309\u001B[0m \u001B[43m     \u001B[49m\u001B[43mlr\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mlr\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    310\u001B[0m \u001B[43m     \u001B[49m\u001B[43mweight_decay\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mweight_decay\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    311\u001B[0m \u001B[43m     \u001B[49m\u001B[43meps\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43meps\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    312\u001B[0m \u001B[43m     \u001B[49m\u001B[43mmaximize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mmaximize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    313\u001B[0m \u001B[43m     \u001B[49m\u001B[43mcapturable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcapturable\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    314\u001B[0m \u001B[43m     \u001B[49m\u001B[43mdifferentiable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdifferentiable\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    315\u001B[0m \u001B[43m     \u001B[49m\u001B[43mgrad_scale\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mgrad_scale\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    316\u001B[0m \u001B[43m     \u001B[49m\u001B[43mfound_inf\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mfound_inf\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/torch/optim/adam.py:410\u001B[0m, in \u001B[0;36m_single_tensor_adam\u001B[0;34m(params, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, grad_scale, found_inf, amsgrad, beta1, beta2, lr, weight_decay, eps, maximize, capturable, differentiable)\u001B[0m\n\u001B[1;32m    408\u001B[0m     denom \u001B[38;5;241m=\u001B[39m (max_exp_avg_sqs[i]\u001B[38;5;241m.\u001B[39msqrt() \u001B[38;5;241m/\u001B[39m bias_correction2_sqrt)\u001B[38;5;241m.\u001B[39madd_(eps)\n\u001B[1;32m    409\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m--> 410\u001B[0m     denom \u001B[38;5;241m=\u001B[39m \u001B[43m(\u001B[49m\u001B[43mexp_avg_sq\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43msqrt\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m/\u001B[39;49m\u001B[43m \u001B[49m\u001B[43mbias_correction2_sqrt\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43madd_\u001B[49m\u001B[43m(\u001B[49m\u001B[43meps\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    412\u001B[0m param\u001B[38;5;241m.\u001B[39maddcdiv_(exp_avg, denom, value\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m-\u001B[39mstep_size)\n",
+      "\u001B[0;31mKeyboardInterrupt\u001B[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "synth = Synthesizer.create('dpgan', epsilon=10.0, delta=1e-9)\n",
+    "synth.fit(data_df,\n",
+    "          transformer=real_valued_tt,\n",
+    "          continuous_columns=['x1', 'x2'],\n",
+    "            categorical_columns=['y'])\n",
+    "# transformer=tt,\n",
+    "print(f'elapsed time= {time.time() - t0:.3f}')\n",
+    "sync_df = synth.sample(10000)\n",
+    "plot_2d(sync_df)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "Run PATEGAN"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "pycharm": {
+     "is_executing": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Run this cell to observe slow converge behavior without the cross genetic operator.\n",
+    "# class snsynth.pytorch.nn.PATECTGAN(embedding_dim=128, generator_dim=(256, 256), discriminator_dim=(256, 256), generator_lr=0.0002, generator_decay=1e-06, discriminator_lr=0.0002, discriminator_decay=1e-06, batch_size=500, discriminator_steps=1, verbose=True, epochs=300, pac=1, cuda=True, epsilon=1, binary=False, regularization=None, loss='cross_entropy', teacher_iters=5, student_iters=5, sample_per_teacher=1000, delta=None, noise_multiplier=0.001, moments_order=100)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ML evaluation\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We follow the train on synthetic, test on real approach:\n",
+    "\n",
+    "- Given two sets of real data: A train set and ad test set.\n",
+    "- Generate synthetic data using the train set.\n",
+    "- Then we train a ML model using the synthetic data.\n",
+    "- Finally, we validate the model's performance using the holdout real data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.naive_bayes import ComplementNB\n",
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "from sklearn.ensemble import GradientBoostingClassifier\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.compose import ColumnTransformer\n",
+    "from sklearn.datasets import fetch_openml\n",
+    "from sklearn.feature_selection import SelectPercentile, chi2\n",
+    "from sklearn.impute import SimpleImputer\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.model_selection import RandomizedSearchCV, train_test_split\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "\n",
+    "from sklearn.metrics import f1_score\n",
+    "\n",
+    "categorical_features = categorical_columns.copy()\n",
+    "label = 'earning-class'\n",
+    "categorical_features.remove(label)\n",
+    "\n",
+    "\n",
+    "categorical_transformer = Pipeline(\n",
+    "    steps=[\n",
+    "        (\"encoder\", OneHotEncoder(handle_unknown=\"ignore\")),\n",
+    "        (\"selector\", SelectPercentile(chi2, percentile=50)),\n",
+    "    ]\n",
+    ")\n",
+    "preprocessor = ColumnTransformer(\n",
+    "    transformers=[\n",
+    "        # (\"num\", numeric_transformer, numeric_features),\n",
+    "        (\"cat\", categorical_transformer, categorical_features),\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "clf = Pipeline(\n",
+    "    steps=[(\"preprocessor\", preprocessor), (\"classifier\", GradientBoostingClassifier())]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on real:\n",
+      "Accuracy=0.8349\n",
+      "F1-score = 0.7528\n"
+     ]
+    }
+   ],
+   "source": [
+    "X_real = adult_df_train[categorical_features]\n",
+    "y_real = adult_df_train[label]\n",
+    "\n",
+    "\n",
+    "X_test = adult_df_test[categorical_features]\n",
+    "y_test = adult_df_test[label]\n",
+    "\n",
+    "clf.fit(X_real, y_real)\n",
+    "\n",
+    "print(f'Train on real:')\n",
+    "print(f\"Accuracy={clf.score(X_test, y_test):.4f}\")\n",
+    "print(f\"F1-score = {f1_score(y_test, clf.predict(X_test), average='macro'):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on AIM synthetic data:\n",
+      "Accuracy = 0.8303\n",
+      "F1-score = 0.7461\n"
+     ]
+    }
+   ],
+   "source": [
+    "X_aim = aim_adult_df[categorical_features]\n",
+    "y_aim = aim_adult_df[label]\n",
+    "\n",
+    "clf.fit(X_aim, y_aim)\n",
+    "\n",
+    "\n",
+    "print(f'Train on AIM synthetic data:')\n",
+    "print(f\"Accuracy = {clf.score(X_test, y_test):.4f}\")\n",
+    "print(f\"F1-score = {f1_score(y_test, clf.predict(X_test), average='macro'):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on GSD synthetic data:\n",
+      "Accuracy = 0.8349\n",
+      "F1-score = 0.7494\n"
+     ]
+    }
+   ],
+   "source": [
+    "X_gsd = gsd_adult_df[categorical_features]\n",
+    "y_gsd = gsd_adult_df[label]\n",
+    "\n",
+    "clf.fit(X_gsd, y_gsd)\n",
+    "\n",
+    "print(f'Train on GSD synthetic data:')\n",
+    "print(f\"Accuracy = {clf.score(X_test, y_test):.4f}\")\n",
+    "print(f\"F1-score = {f1_score(y_test, clf.predict(X_test), average='macro'):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "collect = []\n",
+    "\n",
+    "mean = [0.5, 0.5]\n",
+    "cov = [[.01, 0.0099], \n",
+    "       [0.0099, .01]]  # diagonal covariance\n",
+    "\n",
+    "N = 200\n",
+    "\n",
+    "x, y = np.random.multivariate_normal(mean, cov, N).T\n",
+    "values_cont = np.column_stack((x, y))\n",
+    "values_cont[100:300, 0] = 0.03\n",
+    "values_cont[100:300, 1] = 0.93\n",
+    "\n",
+    "cont_cols = ['c1', 'c2']\n",
+    "data_cont_df = pd.DataFrame(values_cont, columns=cont_cols)\n",
+    "meta_data = {'c1': {'type': 'float', 'lower': 0, 'upper': 1}, 'c2': {'type': 'float', 'lower': 0, 'upper': 1}}\n",
+    "\n",
+    "plot_data = data_cont_df.copy()\n",
+    "plot_data.loc[:, 'Type'] = 'Original'\n",
+    "collect.append(plot_data)\n",
+    "\n",
+    "\n",
+    "for epsilon in [1000, 100]:\n",
+    "    print(f'epsilon={epsilon}')\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}'\n",
+    "    collect.append(sync_df)\n",
+    "\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    # Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous', 'swap'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}/swap'\n",
+    "    collect.append(sync_df)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_data = pd.concat(collect)\n",
+    "g= sns.FacetGrid(data=all_data, col='Type', sharey=True,sharex=True)\n",
+    "g.map(sns.scatterplot, \"c1\", \"c2\", alpha=0.1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# End"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.17"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/synth/samples/gsd_sample/GSD Adult.ipynb b/synth/samples/gsd_sample/GSD Adult.ipynb
new file mode 100644
index 00000000..d4ae05a8
--- /dev/null
+++ b/synth/samples/gsd_sample/GSD Adult.ipynb	
@@ -0,0 +1,655 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## GSD \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from snsynth.gsd import GSDSynthesizer\n",
+    "from load_data import load_data\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "loading downloaded_datasets/adult.csv\n",
+      "Memory consumed by adult:4167808\n",
+      "Index(['age', 'workclass', 'fnlwgt', 'education', 'education-num',\n",
+      "       'marital-status', 'occupation', 'relationship', 'race', 'sex',\n",
+      "       'capital-gain', 'capital-loss', 'hours-per-week', 'native-country',\n",
+      "       'earning-class'],\n",
+      "      dtype='object')\n",
+      "['workclass', 'education', 'marital-status', 'occupation', 'relationship', 'race', 'sex', 'native-country', 'earning-class']\n"
+     ]
+    }
+   ],
+   "source": [
+    "adult_path = 'adult.csv'\n",
+    "datasets = load_data(['adult'])\n",
+    "    \n",
+    "adult_df = datasets['adult']['data']\n",
+    "\n",
+    "target =  datasets['adult']['target']\n",
+    "categorical_columns =  datasets['adult']['categorical_columns'].split(',')\n",
+    "print(adult_df.columns)\n",
+    "print(categorical_columns)\n",
+    "\n",
+    "\n",
+    "# Create config file. Note that we know the lower bound of each ordinal feature is 0.\n",
+    "# Let's assume the column upper bound is know.\n",
+    "ordinal_columns = ['age', 'education-num', 'capital-gain', 'capital-loss', 'hours-per-week', 'fnlwgt']\n",
+    "continuous_columns = []\n",
+    "config = {}\n",
+    "for c in adult_df.columns:\n",
+    "    if c in categorical_columns:\n",
+    "        config[c] = {'type': 'string'}\n",
+    "    else:\n",
+    "        config[c] = {'type': 'int', 'lower': 0, 'upper': adult_df[c].max()}\n",
+    "\n",
+    "\n",
+    "# Split into train/test sets for machine learning evaluation.\n",
+    "adult_df_train, adult_df_test = train_test_split(adult_df, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "                "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Adult"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "privacy budgets: First moments = 2.848929. Second moments = 49.856256\n",
+      "Cond.Marginal= ['age'] . Sigma=0.0002. Top.Level=7. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt'] . Sigma=0.0003. Top.Level=14. Max.Size=None\n",
+      "Cond.Marginal= ['education-num'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain'] . Sigma=0.0003. Top.Level=14. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss'] . Sigma=0.0003. Top.Level=13. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week'] . Sigma=0.0002. Top.Level=7. Max.Size=None\n",
+      "\tTotal size=82484\n",
+      "       age.tree_height = 5. Thresholds=60\n",
+      "    fnlwgt.tree_height = 5. Thresholds=51\n",
+      "education-num.tree_height = 4. Thresholds=20\n",
+      "capital-gain.tree_height = 2. Thresholds=6\n",
+      "capital-loss.tree_height = 2. Thresholds=4\n",
+      "hours-per-week.tree_height = 4. Thresholds=25\n",
+      "Cond.Marginal= ['age', 'fnlwgt', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'education-num', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'capital-gain', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'capital-loss', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'hours-per-week', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'workclass', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'education', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'marital-status', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'occupation', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'relationship', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'race', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'sex', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'native-country', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'education-num', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'capital-gain', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'capital-loss', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'hours-per-week', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'workclass', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'education', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'marital-status', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'occupation', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'relationship', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'race', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'sex', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['fnlwgt', 'native-country', 'earning-class'] . Sigma=0.0002. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'capital-gain', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'capital-loss', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'hours-per-week', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'workclass', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'education', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'marital-status', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['education-num', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'capital-loss', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'hours-per-week', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'workclass', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'education', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'marital-status', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-gain', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'hours-per-week', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'workclass', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'education', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'marital-status', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['capital-loss', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=2. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'workclass', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'education', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'marital-status', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['hours-per-week', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'education', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'marital-status', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'marital-status', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'occupation', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'relationship', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'race', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['race', 'sex', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['race', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['sex', 'native-country', 'earning-class'] . Sigma=0.0001. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=89228\n",
+      "Statistics size = 89632\n",
+      "Setting bin_edges for GSD.\n",
+      "Gen=     26048: fitness=29.8056875. fitness change=0.99999997  Strategy weights:  [0.221 0.3   0.031 0.36  0.088] time=106.44(s)\n",
+      "Gen=     52096: fitness=22.2318377. fitness change=0.25410754  Strategy weights:  [0.185 0.304 0.    0.228 0.283] time=184.96(s)\n",
+      "Gen=     78144: fitness=15.8097859. fitness change=0.28886734  Strategy weights:  [0.089 0.287 0.    0.338 0.285] time=260.06(s)\n",
+      "Gen=    104192: fitness=11.2922392. fitness change=0.28574370  Strategy weights:  [0.243 0.157 0.    0.244 0.355] time=333.86(s)\n",
+      "Gen=    130240: fitness=8.54540886. fitness change=0.24324940  Strategy weights:  [0.186 0.215 0.    0.387 0.212] time=406.79(s)\n",
+      "Gen=    156288: fitness=6.52711644. fitness change=0.23618442  Strategy weights:  [0.202 0.509 0.    0.186 0.104] time=481.51(s)\n",
+      "Gen=    182336: fitness=3.94555845. fitness change=0.39551278  Strategy weights:  [0.222 0.571 0.    0.203 0.004] time=558.18(s)\n",
+      "Gen=    208384: fitness=2.10217476. fitness change=0.46720476  Strategy weights:  [0.156 0.621 0.    0.223 0.   ] time=637.58(s)\n",
+      "Gen=    234432: fitness=0.930613384. fitness change=0.55730922  Strategy weights:  [0.171 0.486 0.    0.343 0.   ] time=718.18(s)\n",
+      "Gen=    260480: fitness=0.369638049. fitness change=0.60280171  Strategy weights:  [0.282 0.487 0.    0.23  0.   ] time=796.42(s)\n",
+      "Gen=    286528: fitness=0.083677402. fitness change=0.77362341  Strategy weights:  [0.358 0.47  0.    0.173 0.   ] time=875.52(s)\n",
+      "Gen=    312576: fitness=0.00711039952. fitness change=0.91502605  Strategy weights:  [0.455 0.507 0.    0.038 0.   ] time=952.88(s)\n",
+      "Gen=    338624: fitness=0.00347855261. fitness change=0.51077958  Strategy weights:  [0.675 0.315 0.    0.009 0.   ] time=1032.37(s)\n",
+      "Gen=    364672: fitness=0.00221323662. fitness change=0.36374784  Strategy weights:  [0.743 0.081 0.    0.176 0.   ] time=1109.33(s)\n",
+      "Gen=    390720: fitness=0.00166936183. fitness change=0.24573730  Strategy weights:  [0.597 0.106 0.    0.297 0.   ] time=1181.05(s)\n",
+      "Gen=    416768: fitness=0.00144579833. fitness change=0.13392154  Strategy weights:  [0.722 0.102 0.    0.177 0.   ] time=1253.15(s)\n",
+      "Gen=    442816: fitness=0.00131317567. fitness change=0.09172971  Strategy weights:  [0.235 0.494 0.    0.271 0.   ] time=1326.28(s)\n",
+      "Gen=    468864: fitness=0.00126438382. fitness change=0.03715561  Strategy weights:  [0.498 0.323 0.    0.179 0.   ] time=1405.23(s)\n",
+      "Gen=    494912: fitness=0.00122470474. fitness change=0.03138215  Strategy weights:  [0.459 0.16  0.    0.381 0.   ] time=1480.47(s)\n",
+      "Gen=    520960: fitness=0.00119831445. fitness change=0.02154829  Strategy weights:  [0.494 0.21  0.    0.296 0.   ] time=1553.90(s)\n",
+      "Gen=    547008: fitness=0.00118105659. fitness change=0.01440178  Strategy weights:  [0.647 0.208 0.    0.144 0.   ] time=1627.85(s)\n",
+      "Gen=    573056: fitness=0.00116830337. fitness change=0.01079815  Strategy weights:  [0.779 0.221 0.    0.    0.   ] time=1703.55(s)\n",
+      "Gen=    599104: fitness=0.00115699637. fitness change=0.00967813  Strategy weights:  [0.745 0.255 0.    0.    0.   ] time=1777.87(s)\n",
+      "Gen=    625152: fitness=0.00114878647. fitness change=0.00709588  Strategy weights:  [0.648 0.352 0.    0.    0.   ] time=1852.90(s)\n",
+      "Gen=    651200: fitness=0.00114117046. fitness change=0.00662961  Strategy weights:  [0.626 0.374 0.    0.    0.   ] time=1929.27(s)\n",
+      "Gen=    677248: fitness=0.00113513212. fitness change=0.00529136  Strategy weights:  [0.758 0.242 0.    0.    0.   ] time=2006.45(s)\n",
+      "Gen=    703296: fitness=0.00113026821. fitness change=0.00428489  Strategy weights:  [0.731 0.269 0.    0.    0.   ] time=2079.75(s)\n",
+      "Gen=    729344: fitness=0.00112581903. fitness change=0.00393639  Strategy weights:  [0.775 0.225 0.    0.    0.   ] time=2155.74(s)\n",
+      "Gen=    755392: fitness=0.00112205985. fitness change=0.00333906  Strategy weights:  [0.679 0.321 0.    0.    0.   ] time=2230.89(s)\n",
+      "Gen=    781440: fitness=0.00111898799. fitness change=0.00273770  Strategy weights:  [0.741 0.259 0.    0.    0.   ] time=2307.24(s)\n",
+      "Gen=    807488: fitness=0.00111562153. fitness change=0.00300849  Strategy weights:  [0.651 0.349 0.    0.    0.   ] time=2383.54(s)\n",
+      "Gen=    833536: fitness=0.00111323416. fitness change=0.00213995  Strategy weights:  [0.656 0.344 0.    0.    0.   ] time=2459.59(s)\n",
+      "Gen=    859584: fitness=0.00111009143. fitness change=0.00282306  Strategy weights:  [0.618 0.382 0.    0.    0.   ] time=2536.31(s)\n",
+      "Gen=    885632: fitness=0.0011077717. fitness change=0.00208968  Strategy weights:  [0.549 0.451 0.    0.    0.   ] time=2613.48(s)\n",
+      "Gen=    911680: fitness=0.00110559491. fitness change=0.00196501  Strategy weights:  [0.519 0.481 0.    0.    0.   ] time=2691.47(s)\n",
+      "Gen=    937728: fitness=0.00110344945. fitness change=0.00194055  Strategy weights:  [0.519 0.481 0.    0.    0.   ] time=2770.73(s)\n",
+      "Gen=    963776: fitness=0.00110154186. fitness change=0.00172875  Strategy weights:  [0.444 0.556 0.    0.    0.   ] time=2849.37(s)\n",
+      "Gen=    989824: fitness=0.00109990473. fitness change=0.00148622  Strategy weights:  [0.492 0.508 0.    0.    0.   ] time=2928.25(s)\n",
+      "Gen=   1015872: fitness=0.00109832984. fitness change=0.00143184  Strategy weights:  [0.612 0.388 0.    0.    0.   ] time=3006.82(s)\n",
+      "Gen=   1041920: fitness=0.00109682793. fitness change=0.00136746  Strategy weights:  [0.538 0.462 0.    0.    0.   ] time=3084.42(s)\n",
+      "Gen=   1067968: fitness=0.00109518878. fitness change=0.00149444  Strategy weights:  [0.493 0.507 0.    0.    0.   ] time=3162.64(s)\n",
+      "Gen=   1094016: fitness=0.00109394871. fitness change=0.00113229  Strategy weights:  [0.682 0.318 0.    0.    0.   ] time=3241.46(s)\n",
+      "Gen=   1120064: fitness=0.00109267999. fitness change=0.00115976  Strategy weights:  [0.741 0.259 0.    0.    0.   ] time=3318.20(s)\n",
+      "Gen=   1146112: fitness=0.00109178531. fitness change=0.00081879  Strategy weights:  [0.647 0.353 0.    0.    0.   ] time=3393.98(s)\n",
+      "Gen=   1172160: fitness=0.0010909698. fitness change=0.00074694  Strategy weights:  [0.648 0.352 0.    0.    0.   ] time=3469.90(s)\n",
+      "Gen=   1198208: fitness=0.00109000997. fitness change=0.00087980  Strategy weights:  [0.814 0.186 0.    0.    0.   ] time=3546.38(s)\n",
+      "Gen=   1224256: fitness=0.00108892831. fitness change=0.00099234  Strategy weights:  [0.841 0.159 0.    0.    0.   ] time=3620.68(s)\n",
+      "Gen=   1250304: fitness=0.00108798081. fitness change=0.00087011  Strategy weights:  [0.776 0.224 0.    0.    0.   ] time=3694.89(s)\n",
+      "Gen=   1276352: fitness=0.00108710103. fitness change=0.00080864  Strategy weights:  [0.643 0.357 0.    0.    0.   ] time=3769.81(s)\n",
+      "Gen=   1302400: fitness=0.00108611312. fitness change=0.00090876  Strategy weights:  [0.669 0.331 0.    0.    0.   ] time=3846.55(s)\n",
+      "Gen=   1328448: fitness=0.00108511456. fitness change=0.00091939  Strategy weights:  [0.528 0.472 0.    0.    0.   ] time=3923.35(s)\n",
+      "Gen=   1354496: fitness=0.00108427851. fitness change=0.00077047  Strategy weights:  [0.461 0.539 0.    0.    0.   ] time=4001.55(s)\n",
+      "Gen=   1380544: fitness=0.00108357435. fitness change=0.00064943  Strategy weights:  [0.562 0.438 0.    0.    0.   ] time=4080.48(s)\n",
+      "Gen=   1406592: fitness=0.00108297617. fitness change=0.00055204  Strategy weights:  [0.608 0.392 0.    0.    0.   ] time=4157.92(s)\n",
+      "Gen=   1432640: fitness=0.0010823195. fitness change=0.00060636  Strategy weights:  [0.808 0.192 0.    0.    0.   ] time=4235.57(s)\n",
+      "Gen=   1458688: fitness=0.00108170366. fitness change=0.00056900  Strategy weights:  [0.587 0.413 0.    0.    0.   ] time=4309.59(s)\n",
+      "Gen=   1484736: fitness=0.00108108899. fitness change=0.00056824  Strategy weights:  [0.431 0.569 0.    0.    0.   ] time=4387.51(s)\n",
+      "Gen=   1510784: fitness=0.00108035155. fitness change=0.00068212  Strategy weights:  [0.651 0.349 0.    0.    0.   ] time=4466.24(s)\n",
+      "Gen=   1536832: fitness=0.00107977488. fitness change=0.00053378  Strategy weights:  [0.697 0.303 0.    0.    0.   ] time=4542.89(s)\n",
+      "Gen=   1562880: fitness=0.00107884215. fitness change=0.00086382  Strategy weights:  [0.731 0.269 0.    0.    0.   ] time=4619.69(s)\n",
+      "Gen=   1588928: fitness=0.00107804275. fitness change=0.00074098  Strategy weights:  [0.907 0.093 0.    0.    0.   ] time=4694.83(s)\n",
+      "Gen=   1614976: fitness=0.0010774185. fitness change=0.00057906  Strategy weights:  [0.693 0.307 0.    0.    0.   ] time=4768.24(s)\n",
+      "Gen=   1641024: fitness=0.00107681846. fitness change=0.00055693  Strategy weights:  [0.552 0.448 0.    0.    0.   ] time=4843.88(s)\n",
+      "Gen=   1667072: fitness=0.00107606919. fitness change=0.00069581  Strategy weights:  [0.614 0.386 0.    0.    0.   ] time=4921.78(s)\n",
+      "Gen=   1693120: fitness=0.00107550188. fitness change=0.00052721  Strategy weights:  [0.668 0.332 0.    0.    0.   ] time=4998.83(s)\n",
+      "Gen=   1719168: fitness=0.00107517424. fitness change=0.00030464  Strategy weights:  [0.704 0.296 0.    0.    0.   ] time=5075.69(s)\n",
+      "Gen=   1745216: fitness=0.00107457249. fitness change=0.00055967  Strategy weights:  [0.617 0.383 0.    0.    0.   ] time=5152.63(s)\n",
+      "Gen=   1771264: fitness=0.0010740445. fitness change=0.00049135  Strategy weights:  [0.494 0.506 0.    0.    0.   ] time=5228.66(s)\n",
+      "Gen=   1797312: fitness=0.00107345551. fitness change=0.00054839  Strategy weights:  [0.549 0.451 0.    0.    0.   ] time=5307.11(s)\n",
+      "Gen=   1823360: fitness=0.00107299385. fitness change=0.00043007  Strategy weights:  [0.844 0.156 0.    0.    0.   ] time=5384.97(s)\n",
+      "Gen=   1849408: fitness=0.00107250694. fitness change=0.00045379  Strategy weights:  [0.855 0.145 0.    0.    0.   ] time=5458.83(s)\n",
+      "Gen=   1875456: fitness=0.00107202697. fitness change=0.00044752  Strategy weights:  [0.789 0.211 0.    0.    0.   ] time=5532.65(s)\n",
+      "Gen=   1901504: fitness=0.0010714683. fitness change=0.00052114  Strategy weights:  [0.782 0.218 0.    0.    0.   ] time=5606.73(s)\n",
+      "Gen=   1927552: fitness=0.00107092691. fitness change=0.00050528  Strategy weights:  [0.779 0.221 0.    0.    0.   ] time=5681.88(s)\n",
+      "Gen=   1953600: fitness=0.00107065067. fitness change=0.00025794  Strategy weights:  [0.847 0.153 0.    0.    0.   ] time=5756.09(s)\n",
+      "Gen=   1979648: fitness=0.00107024063. fitness change=0.00038298  Strategy weights:  [0.819 0.181 0.    0.    0.   ] time=5829.69(s)\n",
+      "Gen=   2005696: fitness=0.00106995339. fitness change=0.00026839  Strategy weights:  [0.871 0.129 0.    0.    0.   ] time=5903.96(s)\n",
+      "Gen=   2031744: fitness=0.00106948043. fitness change=0.00044203  Strategy weights:  [0.623 0.377 0.    0.    0.   ] time=5977.38(s)\n",
+      "Gen=   2057792: fitness=0.00106912011. fitness change=0.00033692  Strategy weights:  [0.623 0.377 0.    0.    0.   ] time=6053.70(s)\n",
+      "Gen=   2083840: fitness=0.00106879857. fitness change=0.00030075  Strategy weights:  [0.606 0.394 0.    0.    0.   ] time=6131.39(s)\n",
+      "Gen=   2109888: fitness=0.00106835748. fitness change=0.00041269  Strategy weights:  [0.727 0.273 0.    0.    0.   ] time=6209.21(s)\n",
+      "Gen=   2135936: fitness=0.00106804857. fitness change=0.00028915  Strategy weights:  [0.629 0.371 0.    0.    0.   ] time=6284.75(s)\n",
+      "Gen=   2161984: fitness=0.00106771296. fitness change=0.00031423  Strategy weights:  [0.805 0.195 0.    0.    0.   ] time=6362.18(s)\n",
+      "Gen=   2188032: fitness=0.00106742177. fitness change=0.00027272  Strategy weights:  [0.738 0.262 0.    0.    0.   ] time=6436.20(s)\n",
+      "Gen=   2214080: fitness=0.00106713954. fitness change=0.00026440  Strategy weights:  [0.733 0.267 0.    0.    0.   ] time=6511.61(s)\n",
+      "Gen=   2240128: fitness=0.0010669068. fitness change=0.00021810  Strategy weights:  [0.59 0.41 0.   0.   0.  ] time=6587.16(s)\n",
+      "Gen=   2266176: fitness=0.00106659178. fitness change=0.00029526  Strategy weights:  [0.679 0.321 0.    0.    0.   ] time=6663.57(s)\n",
+      "Gen=   2292224: fitness=0.00106640266. fitness change=0.00017731  Strategy weights:  [0.621 0.379 0.    0.    0.   ] time=6739.37(s)\n",
+      "Gen=   2318272: fitness=0.00106606749. fitness change=0.00031430  Strategy weights:  [0.615 0.385 0.    0.    0.   ] time=6816.48(s)\n",
+      "Gen=   2344320: fitness=0.00106580783. fitness change=0.00024357  Strategy weights:  [0.485 0.515 0.    0.    0.   ] time=6893.79(s)\n",
+      "Gen=   2370368: fitness=0.00106565642. fitness change=0.00014206  Strategy weights:  [0.59 0.41 0.   0.   0.  ] time=6973.19(s)\n",
+      "Gen=   2396416: fitness=0.00106531119. fitness change=0.00032395  Strategy weights:  [0.499 0.501 0.    0.    0.   ] time=7050.81(s)\n",
+      "Gen=   2422464: fitness=0.00106503691. fitness change=0.00025747  Strategy weights:  [0.558 0.442 0.    0.    0.   ] time=7129.90(s)\n",
+      "Gen=   2448512: fitness=0.00106478999. fitness change=0.00023184  Strategy weights:  [0.736 0.264 0.    0.    0.   ] time=7207.89(s)\n",
+      "Gen=   2474560: fitness=0.00106458538. fitness change=0.00019216  Strategy weights:  [0.939 0.061 0.    0.    0.   ] time=7283.49(s)\n",
+      "Gen=   2500608: fitness=0.00106430526. fitness change=0.00026312  Strategy weights:  [0.715 0.285 0.    0.    0.   ] time=7356.11(s)\n",
+      "Gen=   2526656: fitness=0.00106406044. fitness change=0.00023003  Strategy weights:  [0.723 0.277 0.    0.    0.   ] time=7431.74(s)\n",
+      "Gen=   2552704: fitness=0.00106380358. fitness change=0.00024140  Strategy weights:  [0.757 0.243 0.    0.    0.   ] time=7507.27(s)\n",
+      "Gen=   2578752: fitness=0.00106360093. fitness change=0.00019049  Strategy weights:  [0.754 0.246 0.    0.    0.   ] time=7582.55(s)\n",
+      "Gen=   2604800: fitness=0.00106343836. fitness change=0.00015285  Strategy weights:  [0.543 0.457 0.    0.    0.   ] time=7657.61(s)\n",
+      "Gen=   2630848: fitness=0.0010633316. fitness change=0.00010039  Strategy weights:  [0.594 0.406 0.    0.    0.   ] time=7735.84(s)\n",
+      "Gen=   2656896: fitness=0.00106319711. fitness change=0.00012649  Strategy weights:  [0.683 0.317 0.    0.    0.   ] time=7812.15(s)\n",
+      "Gen=   2682944: fitness=0.00106300421. fitness change=0.00018143  Strategy weights:  [0.795 0.205 0.    0.    0.   ] time=7888.07(s)\n",
+      "Gen=   2708992: fitness=0.00106279586. fitness change=0.00019600  Strategy weights:  [0.878 0.122 0.    0.    0.   ] time=7962.44(s)\n",
+      "Gen=   2735040: fitness=0.00106255724. fitness change=0.00022453  Strategy weights:  [0.872 0.128 0.    0.    0.   ] time=8035.81(s)\n",
+      "Gen=   2761088: fitness=0.00106226677. fitness change=0.00027336  Strategy weights:  [0.851 0.149 0.    0.    0.   ] time=8108.69(s)\n",
+      "Gen=   2787136: fitness=0.00106203819. fitness change=0.00021518  Strategy weights:  [0.782 0.218 0.    0.    0.   ] time=8182.03(s)\n",
+      "Gen=   2813184: fitness=0.00106180105. fitness change=0.00022329  Strategy weights:  [0.737 0.263 0.    0.    0.   ] time=8257.89(s)\n",
+      "Gen=   2839232: fitness=0.00106161941. fitness change=0.00017107  Strategy weights:  [0.546 0.454 0.    0.    0.   ] time=8334.85(s)\n",
+      "Gen=   2865280: fitness=0.0010615521. fitness change=0.00006340  Strategy weights:  [0.731 0.269 0.    0.    0.   ] time=8413.27(s)\n",
+      "\t\t ### Stop early at 2865280 ###\n",
+      "Statistical error: 0.002303439803439833\n",
+      "Saving downloaded_datasets/adult_sync_label_26048_100.00.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Still need to implement \n",
+    "\n",
+    "\n",
+    "for epsilon in [100.0]:\n",
+    "\n",
+    "    N_prime = len(adult_df_train)\n",
+    "    \n",
+    "    synth = GSDSynthesizer(epsilon, 1e-5, tree_height=14, verbose=True)\n",
+    "    synth.fit(adult_df_train,  meta_data=config,  early_stop_threshold=0.0001, conditional_columns=['earning-class'],\n",
+    "              N_prime=N_prime)\n",
+    "        \n",
+    "    max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()\n",
+    "    print(f'Statistical error:', max_error)\n",
+    "    \n",
+    "    adult_sync_df = synth.sample()\n",
+    "    \n",
+    "    os.makedirs('downloaded_datasets', exist_ok=True)\n",
+    "    save_path = f'downloaded_datasets/adult_sync_label_{N_prime}_{epsilon:.2f}.csv'\n",
+    "    adult_sync_df.to_csv(save_path)\n",
+    "    print(f'Saving {save_path}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting xgboost\n",
+      "  Obtaining dependency information for xgboost from https://files.pythonhosted.org/packages/8c/3a/c9c5d4d5c49b132ef15ac7b5ccf56ef1c82efe36cd19414771762e97c00e/xgboost-1.7.6-py3-none-manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading xgboost-1.7.6-py3-none-manylinux2014_x86_64.whl.metadata (1.9 kB)\n",
+      "Requirement already satisfied: numpy in /home/giuseppe/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages (from xgboost) (1.25.2)\n",
+      "Requirement already satisfied: scipy in /home/giuseppe/.local/lib/python3.10/site-packages (from xgboost) (1.10.1)\n",
+      "Downloading xgboost-1.7.6-py3-none-manylinux2014_x86_64.whl (200.3 MB)\n",
+      "\u001B[2K   \u001B[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m200.3/200.3 MB\u001B[0m \u001B[31m2.1 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m0m eta \u001B[36m0:00:01\u001B[0m[36m0:00:01\u001B[0m\n",
+      "\u001B[?25hInstalling collected packages: xgboost\n",
+      "Successfully installed xgboost-1.7.6\n"
+     ]
+    }
+   ],
+   "source": [
+    "# !pip install xgboost\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.naive_bayes import ComplementNB\n",
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "from sklearn.ensemble import GradientBoostingClassifier\n",
+    "from xgboost import XGBClassifier\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.compose import ColumnTransformer\n",
+    "from sklearn.datasets import fetch_openml\n",
+    "from sklearn.feature_selection import SelectPercentile, chi2\n",
+    "from sklearn.impute import SimpleImputer\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.model_selection import RandomizedSearchCV, train_test_split\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "\n",
+    "from sklearn.metrics import f1_score\n",
+    "\n",
+    "categorical_features = categorical_columns.copy()\n",
+    "numeric_features = ordinal_columns.copy()\n",
+    "label = 'earning-class'\n",
+    "categorical_features.remove(label)\n",
+    "\n",
+    "\n",
+    "numeric_transformer = Pipeline(\n",
+    "    steps=[(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]\n",
+    ")\n",
+    "\n",
+    "categorical_transformer = Pipeline(\n",
+    "    steps=[\n",
+    "        (\"encoder\", OneHotEncoder(handle_unknown=\"ignore\")),\n",
+    "        # (\"selector\", SelectPercentile(chi2, percentile=50)),\n",
+    "    ]\n",
+    ")\n",
+    "preprocessor = ColumnTransformer(\n",
+    "    transformers=[\n",
+    "        (\"num\", numeric_transformer, numeric_features),\n",
+    "        (\"cat\", categorical_transformer, categorical_features),\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "def sub_group(X_train_arg, y_train_arg, X_test_arg, y_test_arg, group_feature):\n",
+    "\n",
+    "    clf = Pipeline(\n",
+    "        steps=[(\"preprocessor\", preprocessor), (\"classifier\", XGBClassifier())]\n",
+    "    )\n",
+    "    \n",
+    "    clf.fit(X_train_arg, y_train_arg)\n",
+    "    \n",
+    "    print(f\"Accuracy={clf.score(X_test_arg, y_test_arg):.4f}\")\n",
+    "    print(f\"F1-score = {f1_score(clf.predict(X_test_arg), y_test_arg, average='macro'):.4f}\")\n",
+    "    \n",
+    "    group_names = X_test_arg[group_feature].unique()\n",
+    "\n",
+    "    for g in group_names:\n",
+    "        train_sub_ids = X_train_arg[group_feature] == g\n",
+    "        X_train_sub = X_train_arg[train_sub_ids]\n",
+    "        y_train_sub = y_train_arg[train_sub_ids]\n",
+    "        train_sz = len(X_train_sub)\n",
+    "\n",
+    "        \n",
+    "        test_sub_ids = X_test_arg[group_feature] == g\n",
+    "        X_test_sub = X_test_arg[test_sub_ids]\n",
+    "        y_test_sub = y_test_arg[test_sub_ids]\n",
+    "        test_sz = len(X_test_sub)\n",
+    "        print(f\"{group_feature}={g}:\")\n",
+    "        \n",
+    "        print(f\"\\tTrain: Size={train_sz:<6}, Acc-score = {clf.score(X_train_sub, y_train_sub):.4f}\")\n",
+    "\n",
+    "        print(f\"\\tTest:  Size={test_sz:<6}, Acc-score = {clf.score(X_test_sub, y_test_sub):.4f}\")\n",
+    "        \n",
+    "\n",
+    "        print(f\"\\tTrain: Size={train_sz:<6}, F1-score = {f1_score(y_train_sub, clf.predict(X_train_sub), average='macro'):.4f}\")\n",
+    "\n",
+    "        print(f\"\\tTest:  Size={test_sz:<6}, F1-score = {f1_score(y_test_sub, clf.predict(X_test_sub), average='macro'):.4f}\")\n",
+    "        \n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Real data:\n",
+      "Accuracy=0.8666\n",
+      "F1-score = 0.8032\n",
+      "race=4:\n",
+      "\tTrain: Size=22282 , Acc-score = 0.9005\n",
+      "\tTest:  Size=5534  , Acc-score = 0.8603\n",
+      "\tTrain: Size=22282 , F1-score = 0.8631\n",
+      "\tTest:  Size=5534  , F1-score = 0.8035\n",
+      "race=2:\n",
+      "\tTrain: Size=2487  , Acc-score = 0.9554\n",
+      "\tTest:  Size=637   , Acc-score = 0.9027\n",
+      "\tTrain: Size=2487  , F1-score = 0.8860\n",
+      "\tTest:  Size=637   , F1-score = 0.7448\n",
+      "race=1:\n",
+      "\tTrain: Size=826   , Acc-score = 0.9128\n",
+      "\tTest:  Size=213   , Acc-score = 0.8451\n",
+      "\tTrain: Size=826   , F1-score = 0.8824\n",
+      "\tTest:  Size=213   , F1-score = 0.7966\n",
+      "race=3:\n",
+      "\tTrain: Size=212   , Acc-score = 0.9623\n",
+      "\tTest:  Size=59    , Acc-score = 1.0000\n",
+      "\tTrain: Size=212   , F1-score = 0.8986\n",
+      "\tTest:  Size=59    , F1-score = 1.0000\n",
+      "race=0:\n",
+      "\tTrain: Size=241   , Acc-score = 0.9378\n",
+      "\tTest:  Size=70    , Acc-score = 0.9857\n",
+      "\tTrain: Size=241   , F1-score = 0.8355\n",
+      "\tTest:  Size=70    , F1-score = 0.9507\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "X_real = adult_df_train[categorical_features+numeric_features]\n",
+    "y_real = adult_df_train[label]\n",
+    "\n",
+    "\n",
+    "X_test = adult_df_test[categorical_features+numeric_features]\n",
+    "y_test = adult_df_test[label]\n",
+    "\n",
+    "protected_group = 'race'\n",
+    "\n",
+    "print(f'Real data:')\n",
+    "sub_group(X_real, y_real, X_test, y_test, protected_group)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "downloaded_datasets/adult_sync_26048_100.00.csv\n",
+      "Sync data:\n",
+      "Accuracy=0.8465\n",
+      "F1-score = 0.7729\n",
+      "race=4:\n",
+      "\tTrain: Size=22282 , Acc-score = 0.8929\n",
+      "\tTest:  Size=5534  , Acc-score = 0.8388\n",
+      "\tTrain: Size=22282 , F1-score = 0.8515\n",
+      "\tTest:  Size=5534  , F1-score = 0.7727\n",
+      "race=2:\n",
+      "\tTrain: Size=2486  , Acc-score = 0.9413\n",
+      "\tTest:  Size=637   , Acc-score = 0.8901\n",
+      "\tTrain: Size=2486  , F1-score = 0.8411\n",
+      "\tTest:  Size=637   , F1-score = 0.7042\n",
+      "race=1:\n",
+      "\tTrain: Size=827   , Acc-score = 0.9178\n",
+      "\tTest:  Size=213   , Acc-score = 0.8357\n",
+      "\tTrain: Size=827   , F1-score = 0.8905\n",
+      "\tTest:  Size=213   , F1-score = 0.7868\n",
+      "race=3:\n",
+      "\tTrain: Size=212   , Acc-score = 0.9764\n",
+      "\tTest:  Size=59    , Acc-score = 0.9661\n",
+      "\tTrain: Size=212   , F1-score = 0.9353\n",
+      "\tTest:  Size=59    , F1-score = 0.4914\n",
+      "race=0:\n",
+      "\tTrain: Size=241   , Acc-score = 0.9419\n",
+      "\tTest:  Size=70    , Acc-score = 0.9857\n",
+      "\tTrain: Size=241   , F1-score = 0.8380\n",
+      "\tTest:  Size=70    , F1-score = 0.9507\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "data_path = 'downloaded_datasets/adult_sync_26048_100.00.csv'\n",
+    "adult_sync_df = pd.read_csv(data_path, index_col=0)\n",
+    "\n",
+    "print(data_path)\n",
+    "X_sync = adult_sync_df[categorical_features+numeric_features]\n",
+    "y_sync = adult_sync_df[label]\n",
+    "print(f'Sync data:')\n",
+    "sub_group(X_sync, y_sync, X_test, y_test, protected_group)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# End"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/synth/samples/gsd_sample/GSD test.ipynb b/synth/samples/gsd_sample/GSD test.ipynb
new file mode 100644
index 00000000..f49a6e2e
--- /dev/null
+++ b/synth/samples/gsd_sample/GSD test.ipynb	
@@ -0,0 +1,845 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## GSD test\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import subprocess\n",
+    "import utils\n",
+    "from snsynth import Synthesizer\n",
+    "from snsynth.gsd import GSDSynthesizer\n",
+    "import time\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "This notebook assesses the performance of Generative Synthetic Data (GSD) algorithms (detailed in https://arxiv.org/abs/2306.03257) across diverse data scenarios. Typically, differentially private synthetic data (DPSD) mechanisms suffer from the curse of dimensionality. Specifically, the following data types pose difficulties for DPSD mechanisms:\n",
+    "\n",
+    "- Features with high-cardinality categorical and ordinal attributes.\n",
+    "- Real-valued features.\n",
+    "\n",
+    "Within this notebook, we illustrate how GSD adeptly addresses these challenges through practical examples.\n",
+    "\n",
+    "The initial experiment involves the application of GSD to the PUMS dataset, which encompasses both high-cardinality categorical and ordinal attributes. The results demonstrate swift convergence of GSD. Subsequently, through data visualization of the 'income' variable, we compare synthetic and actual data. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# PUMS (Categorical + High-Cardinality-Ordinal)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "git_root_dir = subprocess.check_output(\"git rev-parse --show-toplevel\".split(\" \")).decode(\"utf-8\").strip()\n",
+    "meta_path = os.path.join(git_root_dir, os.path.join(\"datasets\", \"PUMS_pid.yaml\"))\n",
+    "csv_path = os.path.join(git_root_dir, os.path.join(\"datasets\", \"PUMS_pid.csv\"))\n",
+    "# csv_path = os.path.join(git_root_dir, os.path.join(\"datasets\", \"PUMS.csv\"))\n",
+    "with open(meta_path, 'r') as file:\n",
+    "    pums_meta_data = yaml.safe_load(file)['']['PUMS']['PUMS']\n",
+    "\n",
+    "pums_df = pd.read_csv(csv_path, index_col=None)\n",
+    "pums_df = pums_df.drop([\"pid\"], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "privacy budgets: First moments = 0.209729. Second moments = 1.572967\n",
+      "Cond.Marginal= ['age'] . Sigma=0.0098. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['income'] . Sigma=0.0138. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2108\n",
+      "       age.tree_height = 4. Thresholds=22\n",
+      "    income.tree_height = 5. Thresholds=48\n",
+      "Cond.Marginal= ['age', 'income'] . Sigma=0.0098. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'sex'] . Sigma=0.0087. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'educ'] . Sigma=0.0087. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'race'] . Sigma=0.0087. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['age', 'married'] . Sigma=0.0087. Top.Level=4. Max.Size=None\n",
+      "Cond.Marginal= ['income', 'sex'] . Sigma=0.0098. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['income', 'educ'] . Sigma=0.0098. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['income', 'race'] . Sigma=0.0098. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['income', 'married'] . Sigma=0.0098. Top.Level=5. Max.Size=None\n",
+      "Cond.Marginal= ['sex', 'educ'] . Sigma=0.0044. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['sex', 'race'] . Sigma=0.0044. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['sex', 'married'] . Sigma=0.0044. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['educ', 'race'] . Sigma=0.0044. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['educ', 'married'] . Sigma=0.0044. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['race', 'married'] . Sigma=0.0044. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=4746\n",
+      "Statistics size = 4842\n",
+      "Gen=      1000: fitness=11.0870229. Strategy wins:  [0.105 0.29  0.28  0.325] time=10.41(s)\n",
+      "Gen=      2000: fitness= 3.4121224. Strategy wins:  [0.332 0.271 0.211 0.186] time=12.21(s)\n",
+      "Gen=      3000: fitness=0.290178956. Strategy wins:  [0.157 0.6   0.183 0.06 ] time=13.93(s)\n",
+      "Gen=      4000: fitness=0.222238005. Strategy wins:  [0.213 0.593 0.175 0.019] time=15.80(s)\n",
+      "Gen=      5000: fitness=0.212386265. Strategy wins:  [0.013 0.488 0.314 0.185] time=17.72(s)\n",
+      "Gen=      6000: fitness=0.207875918. Strategy wins:  [0.    0.287 0.451 0.262] time=19.87(s)\n",
+      "Gen=      7000: fitness=0.205925541. Strategy wins:  [0.    0.17  0.663 0.167] time=21.63(s)\n",
+      "Gen=      8000: fitness=0.204967614. Strategy wins:  [0.    0.226 0.494 0.28 ] time=23.32(s)\n",
+      "Gen=      9000: fitness=0.204212119. Strategy wins:  [0.    0.248 0.578 0.174] time=25.01(s)\n",
+      "Gen=     10000: fitness=0.203617932. Strategy wins:  [0.    0.419 0.431 0.151] time=26.76(s)\n",
+      "Gen=     11000: fitness=0.203058199. Strategy wins:  [0.    0.311 0.366 0.323] time=28.81(s)\n",
+      "Gen=     12000: fitness=0.202655503. Strategy wins:  [0.    0.14  0.55  0.311] time=30.85(s)\n",
+      "Gen=     13000: fitness=0.202298494. Strategy wins:  [0.    0.248 0.329 0.424] time=32.89(s)\n",
+      "Gen=     14000: fitness=0.202127151. Strategy wins:  [0.    0.378 0.349 0.273] time=34.82(s)\n",
+      "Gen=     15000: fitness=0.201896844. Strategy wins:  [0.    0.186 0.495 0.318] time=36.63(s)\n",
+      "Gen=     16000: fitness=0.201796094. Strategy wins:  [0.    0.26  0.533 0.207] time=38.41(s)\n",
+      "Gen=     17000: fitness=0.201683705. Strategy wins:  [0.    0.774 0.163 0.063] time=40.20(s)\n",
+      "Gen=     18000: fitness=0.20157676. Strategy wins:  [0.    0.73  0.008 0.262] time=42.27(s)\n",
+      "Gen=     19000: fitness=0.201479693. Strategy wins:  [0.    0.97  0.001 0.029] time=44.34(s)\n",
+      "Gen=     20000: fitness=0.201297798. Strategy wins:  [0.    0.999 0.    0.001] time=46.41(s)\n",
+      "Gen=     21000: fitness=0.201126045. Strategy wins:  [0.    0.676 0.315 0.009] time=48.60(s)\n",
+      "Gen=     22000: fitness=0.200888046. Strategy wins:  [0.    0.653 0.151 0.195] time=50.51(s)\n",
+      "Gen=     23000: fitness=0.200771297. Strategy wins:  [0.    0.398 0.189 0.413] time=52.64(s)\n",
+      "Gen=     24000: fitness=0.200709456. Strategy wins:  [0.    0.341 0.24  0.419] time=54.60(s)\n",
+      "Gen=     25000: fitness=0.200680001. Strategy wins:  [0.    0.589 0.089 0.321] time=56.37(s)\n",
+      "Gen=     26000: fitness=0.200662322. Strategy wins:  [0.    0.306 0.259 0.435] time=58.31(s)\n",
+      "Gen=     27000: fitness=0.200616835. Strategy wins:  [0.    0.261 0.078 0.661] time=60.13(s)\n",
+      "Gen=     28000: fitness=0.200603704. Strategy wins:  [0.    0.223 0.121 0.656] time=62.01(s)\n",
+      "\t\t ### Stop early at 28000 ###\n",
+      "Statistical error: 0.03600000000000003\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/giuseppevietri/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 683.375x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/giuseppevietri/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1883.37x300 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "synth = GSDSynthesizer(10.0, 1e-5, verbose=True)\n",
+    "synth.fit(pums_df, meta_data=pums_meta_data, genetic_operators=['mutate', 'cross', 'continuous'])\n",
+    "pums_sync_df = synth.sample()\n",
+    "max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()\n",
+    "print(f'Statistical error:', max_error)\n",
+    "\n",
+    "\n",
+    "\n",
+    "\"\"\"\n",
+    "Plot entire distribution:\n",
+    "\"\"\"\n",
+    "pums_sync_df['Type'] = 'Sync'\n",
+    "pums_all_temp = pums_df.copy()\n",
+    "pums_all_temp['Type'] = 'Real'\n",
+    "pums_real_sync = pd.concat((pums_all_temp, pums_sync_df))\n",
+    "\n",
+    "plt.title('Income distribution:')\n",
+    "sns.histplot(data=pums_real_sync, x='income', hue='Type')\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "\"\"\"\n",
+    "Plot subgroups distributions:\n",
+    "\"\"\"\n",
+    "g = sns.FacetGrid(data=pums_real_sync, hue='Type',  col='sex', sharey=False)\n",
+    "g.map(sns.histplot, 'income')\n",
+    "g.add_legend()\n",
+    "plt.show()\n",
+    "\n",
+    "g = sns.FacetGrid(data=pums_real_sync, hue='Type',  col='race', sharey=False)\n",
+    "g.map(sns.histplot, 'income')\n",
+    "g.add_legend()\n",
+    "# g.set(sharey=False)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "# High cardinality"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "In this section, we construct a toy dataset with one categorical feature with cardinality 10000. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cond.Marginal= [0] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=6328\n",
+      "Statistics size = 6328\n",
+      "Gen=      1000: fitness=0.019003768. Strategy wins:  [0.61 0.39] time=5.21 (s)\n",
+      "Gen=      2000: fitness=0.000378352214. Strategy wins:  [1. 0.] time=6.86 (s)\n",
+      "Gen=      3000: fitness=0.000376445237. Strategy wins:  [1. 0.] time=8.54 (s)\n",
+      "Gen=      4000: fitness=0.000376297967. Strategy wins:  [1. 0.] time=10.06(s)\n",
+      "Gen=      5000: fitness=0.000376277436. Strategy wins:  [1. 0.] time=11.58(s)\n",
+      "Gen=      6000: fitness=0.000376262702. Strategy wins:  [1. 0.] time=13.13(s)\n",
+      "\t\t ### Stop early at 6000 ###\n",
+      "elapsed time = 20.118804216384888\n",
+      "epsilon=10 Statistical error: max=0.0009, Avg=0.0001\n"
+     ]
+    }
+   ],
+   "source": [
+    "import time\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "d = 1\n",
+    "ordinal_columns = 'categorical_1'\n",
+    "cat_cardinality = 10000\n",
+    "N = 2 * cat_cardinality\n",
+    "\n",
+    "data_np = rng.integers(0, cat_cardinality, (N, d ))\n",
+    "data_np[:cat_cardinality, 0] = 0\n",
+    "data_np = data_np.astype(str)\n",
+    "data_df = pd.DataFrame(data_np, columns=[ordinal_columns])\n",
+    "\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(3000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(data_np, N_prime=1000, genetic_operators=['mutate', 'cross'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cond.Marginal= ['categorical_1'] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=6328\n",
+      "Statistics size = 6328\n",
+      "Gen=      1000: fitness=0.235053579. Strategy wins:  [1.] time=3.65 (s)\n",
+      "Gen=      2000: fitness=0.225453797. Strategy wins:  [1.] time=5.32 (s)\n",
+      "Gen=      3000: fitness=0.213285876. Strategy wins:  [1.] time=6.90 (s)\n",
+      "Gen=      4000: fitness=0.209609693. Strategy wins:  [1.] time=8.45 (s)\n",
+      "Gen=      5000: fitness=0.203254296. Strategy wins:  [1.] time=10.07(s)\n",
+      "Gen=      6000: fitness=0.194345383. Strategy wins:  [1.] time=11.61(s)\n",
+      "Gen=      7000: fitness=0.186498198. Strategy wins:  [1.] time=13.20(s)\n",
+      "Gen=      8000: fitness=0.179659091. Strategy wins:  [1.] time=14.69(s)\n",
+      "Gen=      9000: fitness=0.174613602. Strategy wins:  [1.] time=16.33(s)\n",
+      "Gen=     10000: fitness=0.167998519. Strategy wins:  [1.] time=17.97(s)\n",
+      "Gen=     11000: fitness=0.159909699. Strategy wins:  [1.] time=19.54(s)\n",
+      "Gen=     12000: fitness=0.154366581. Strategy wins:  [1.] time=20.98(s)\n",
+      "Gen=     13000: fitness=0.148151107. Strategy wins:  [1.] time=22.52(s)\n",
+      "Gen=     14000: fitness=0.138324998. Strategy wins:  [1.] time=24.07(s)\n",
+      "Gen=     15000: fitness=0.135369104. Strategy wins:  [1.] time=25.69(s)\n",
+      "Gen=     16000: fitness=0.130274082. Strategy wins:  [1.] time=27.41(s)\n",
+      "Gen=     17000: fitness=0.123165291. Strategy wins:  [1.] time=29.05(s)\n",
+      "Gen=     18000: fitness=0.118308121. Strategy wins:  [1.] time=30.74(s)\n",
+      "Gen=     19000: fitness=0.113548546. Strategy wins:  [1.] time=32.25(s)\n",
+      "Gen=     20000: fitness=0.106919735. Strategy wins:  [1.] time=33.81(s)\n",
+      "Gen=     21000: fitness=0.104324032. Strategy wins:  [1.] time=35.27(s)\n",
+      "Gen=     22000: fitness=0.0992289469. Strategy wins:  [1.] time=37.09(s)\n",
+      "Gen=     23000: fitness=0.096729357. Strategy wins:  [1.] time=38.78(s)\n",
+      "Gen=     24000: fitness=0.0942616673. Strategy wins:  [1.] time=40.37(s)\n",
+      "Gen=     25000: fitness=0.093649513. Strategy wins:  [1.] time=41.95(s)\n",
+      "Gen=     26000: fitness=0.0918259208. Strategy wins:  [1.] time=43.54(s)\n",
+      "Gen=     27000: fitness=0.0870510813. Strategy wins:  [1.] time=44.96(s)\n",
+      "Gen=     28000: fitness=0.0829780753. Strategy wins:  [1.] time=46.48(s)\n",
+      "Gen=     29000: fitness=0.0778859359. Strategy wins:  [1.] time=48.22(s)\n",
+      "Gen=     30000: fitness=0.0773294515. Strategy wins:  [1.] time=49.75(s)\n",
+      "Gen=     31000: fitness=0.0729550985. Strategy wins:  [1.] time=51.26(s)\n",
+      "Gen=     32000: fitness=0.0671488538. Strategy wins:  [1.] time=52.73(s)\n",
+      "Gen=     33000: fitness=0.0656072508. Strategy wins:  [1.] time=54.40(s)\n",
+      "Gen=     34000: fitness=0.0630779392. Strategy wins:  [1.] time=56.01(s)\n",
+      "Gen=     35000: fitness=0.0601088997. Strategy wins:  [1.] time=57.57(s)\n",
+      "Gen=     36000: fitness=0.0576897804. Strategy wins:  [1.] time=59.23(s)\n",
+      "Gen=     37000: fitness=0.0539233252. Strategy wins:  [1.] time=60.72(s)\n",
+      "Gen=     38000: fitness=0.0520880936. Strategy wins:  [1.] time=62.19(s)\n",
+      "Gen=     39000: fitness=0.0489534514. Strategy wins:  [1.] time=63.65(s)\n",
+      "Gen=     40000: fitness=0.0463448109. Strategy wins:  [1.] time=65.10(s)\n",
+      "Gen=     41000: fitness=0.0450671909. Strategy wins:  [1.] time=66.58(s)\n",
+      "Gen=     42000: fitness=0.0433919601. Strategy wins:  [1.] time=68.10(s)\n",
+      "Gen=     43000: fitness=0.0409392255. Strategy wins:  [1.] time=69.57(s)\n",
+      "Gen=     44000: fitness=0.0401375011. Strategy wins:  [1.] time=71.02(s)\n",
+      "Gen=     45000: fitness=0.0397396963. Strategy wins:  [1.] time=72.51(s)\n",
+      "Gen=     46000: fitness=0.0377806808. Strategy wins:  [1.] time=74.00(s)\n",
+      "Gen=     47000: fitness=0.0366292534. Strategy wins:  [1.] time=75.48(s)\n",
+      "Gen=     48000: fitness=0.0347502256. Strategy wins:  [1.] time=76.96(s)\n",
+      "Gen=     49000: fitness=0.0325617897. Strategy wins:  [1.] time=78.43(s)\n",
+      "Gen=     50000: fitness=0.0314939712. Strategy wins:  [1.] time=79.91(s)\n",
+      "Gen=     51000: fitness=0.0294131383. Strategy wins:  [1.] time=81.37(s)\n",
+      "Gen=     52000: fitness=0.02839982. Strategy wins:  [1.] time=82.86(s)\n",
+      "Gen=     53000: fitness=0.0274043038. Strategy wins:  [1.] time=84.32(s)\n",
+      "Gen=     54000: fitness=0.0267506897. Strategy wins:  [1.] time=85.80(s)\n",
+      "Gen=     55000: fitness=0.0245261588. Strategy wins:  [1.] time=87.29(s)\n",
+      "Gen=     56000: fitness=0.0218098227. Strategy wins:  [1.] time=88.75(s)\n",
+      "Gen=     57000: fitness=0.0195313797. Strategy wins:  [1.] time=90.22(s)\n",
+      "Gen=     58000: fitness=0.0181723481. Strategy wins:  [1.] time=91.71(s)\n",
+      "Gen=     59000: fitness=0.017380932. Strategy wins:  [1.] time=93.22(s)\n",
+      "Gen=     60000: fitness=0.0158520939. Strategy wins:  [1.] time=94.68(s)\n",
+      "Gen=     61000: fitness=0.0146330753. Strategy wins:  [1.] time=96.15(s)\n",
+      "Gen=     62000: fitness=0.0143952637. Strategy wins:  [1.] time=97.65(s)\n",
+      "Gen=     63000: fitness=0.0130105411. Strategy wins:  [1.] time=99.22(s)\n",
+      "Gen=     64000: fitness=0.0127866307. Strategy wins:  [1.] time=100.58(s)\n",
+      "Gen=     65000: fitness=0.0116976108. Strategy wins:  [1.] time=102.11(s)\n",
+      "Gen=     66000: fitness=0.0108623869. Strategy wins:  [1.] time=103.69(s)\n",
+      "Gen=     67000: fitness=0.00947785767. Strategy wins:  [1.] time=105.25(s)\n",
+      "Gen=     68000: fitness=0.00819113037. Strategy wins:  [1.] time=106.82(s)\n",
+      "Gen=     69000: fitness=0.00750009969. Strategy wins:  [1.] time=108.56(s)\n",
+      "Gen=     70000: fitness=0.00716639832. Strategy wins:  [1.] time=110.12(s)\n",
+      "Gen=     71000: fitness=0.00684069466. Strategy wins:  [1.] time=111.68(s)\n",
+      "Gen=     72000: fitness=0.00636727174. Strategy wins:  [1.] time=113.25(s)\n",
+      "Gen=     73000: fitness=0.00576405395. Strategy wins:  [1.] time=114.80(s)\n",
+      "Gen=     74000: fitness=0.00452382351. Strategy wins:  [1.] time=116.36(s)\n",
+      "Gen=     75000: fitness=0.00427030168. Strategy wins:  [1.] time=117.96(s)\n",
+      "Gen=     76000: fitness=0.00378699492. Strategy wins:  [1.] time=119.52(s)\n",
+      "Gen=     77000: fitness=0.00355748604. Strategy wins:  [1.] time=121.11(s)\n",
+      "Gen=     78000: fitness=0.00312217219. Strategy wins:  [1.] time=122.71(s)\n",
+      "Gen=     79000: fitness=0.00291656632. Strategy wins:  [1.] time=124.25(s)\n",
+      "Gen=     80000: fitness=0.00262314925. Strategy wins:  [1.] time=125.71(s)\n",
+      "Gen=     81000: fitness=0.00217432179. Strategy wins:  [1.] time=127.17(s)\n",
+      "Gen=     82000: fitness=0.00185111549. Strategy wins:  [1.] time=128.62(s)\n",
+      "Gen=     83000: fitness=0.00170130494. Strategy wins:  [1.] time=130.04(s)\n",
+      "Gen=     84000: fitness=0.00149188818. Strategy wins:  [1.] time=131.47(s)\n",
+      "Gen=     85000: fitness=0.00112707391. Strategy wins:  [1.] time=132.92(s)\n",
+      "Gen=     86000: fitness=0.00102155611. Strategy wins:  [1.] time=134.33(s)\n",
+      "Gen=     87000: fitness=0.000792539024. Strategy wins:  [1.] time=135.75(s)\n",
+      "Gen=     88000: fitness=0.000752635252. Strategy wins:  [1.] time=137.20(s)\n",
+      "Gen=     89000: fitness=0.000583622022. Strategy wins:  [1.] time=138.62(s)\n",
+      "Gen=     90000: fitness=0.000506205099. Strategy wins:  [1.] time=140.05(s)\n",
+      "Gen=     91000: fitness=0.000484403496. Strategy wins:  [1.] time=141.47(s)\n",
+      "Gen=     92000: fitness=0.000405390222. Strategy wins:  [1.] time=142.91(s)\n",
+      "Gen=     93000: fitness=0.0003763797. Strategy wins:  [1.] time=144.33(s)\n",
+      "Gen=     94000: fitness=0.00037637219. Strategy wins:  [1.] time=145.76(s)\n",
+      "\t\t ### Stop early at 94000 ###\n",
+      "elapsed time = 152.4053440093994\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run this cell to observe slow converge behavior without the cross genetic operator.\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(3000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(data_df, N_prime=1000, genetic_operators=['mutate'])\n",
+    "print(f'elapsed time = {time.time() - t0}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "# Highly correlated categorical data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "privacy budgets: Second moments = 9899855.760007\n",
+      "Cond.Marginal= ['categorical_1', 'categorical_2'] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=64\n",
+      "Statistics size = 64\n",
+      "Gen=       200: fitness=0.162998484. Strategy wins:  [0.303 0.065 0.303 0.33 ] time=7.97 (s)\n",
+      "Gen=       400: fitness=9.98943138e-05. Strategy wins:  [0.104 0.    0.16  0.736] time=8.31 (s)\n",
+      "Gen=       600: fitness=9.98943138e-05. Strategy wins:  [0.104 0.    0.16  0.736] time=8.59 (s)\n",
+      "Gen=       800: fitness=9.9890692e-05. Strategy wins:  [0.093 0.    0.144 0.763] time=8.86 (s)\n",
+      "Gen=      1000: fitness=9.9890692e-05. Strategy wins:  [0.093 0.    0.144 0.763] time=9.12 (s)\n",
+      "Gen=      1200: fitness=9.9890692e-05. Strategy wins:  [0.093 0.    0.144 0.763] time=9.39 (s)\n",
+      "Gen=      1400: fitness=9.9890692e-05. Strategy wins:  [0.093 0.    0.144 0.763] time=9.66 (s)\n",
+      "Gen=      1600: fitness=9.9890692e-05. Strategy wins:  [0.093 0.    0.144 0.763] time=9.92 (s)\n",
+      "\t\t ### Stop early at 1600 ###\n",
+      "elapsed time = 11.23509407043457\n",
+      "epsilon=10 Statistical error: max=0.0050, Avg=0.0003\n"
+     ]
+    }
+   ],
+   "source": [
+    "rng = np.random.default_rng(1)\n",
+    "\n",
+    "d = 1\n",
+    "columns = ['categorical_1', 'categorical_2']\n",
+    "cat_cardinality = 11\n",
+    "N = 200\n",
+    "values = rng.integers(1, cat_cardinality, (N, d ))\n",
+    "values[:190] = 0\n",
+    "data_np = np.column_stack((values, values)).astype(str)\n",
+    "correlated_cat_df = pd.DataFrame(data_np, columns=columns)\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(correlated_cat_df, N_prime=200, genetic_operators=['mutate', 'cross', 'swap'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "privacy budgets: Second moments = 9899855.760007\n",
+      "Cond.Marginal= ['categorical_1', 'categorical_2'] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=64\n",
+      "Statistics size = 64\n",
+      "Gen=       200: fitness=0.13194967. Strategy wins:  [0.331 0.228 0.441] time=6.48 (s)\n",
+      "Gen=       400: fitness=0.000149812423. Strategy wins:  [0.052 0.033 0.915] time=6.76 (s)\n",
+      "Gen=       600: fitness=4.99378416e-05. Strategy wins:  [0.288 0.025 0.687] time=6.98 (s)\n",
+      "Gen=       800: fitness=4.99378416e-05. Strategy wins:  [0.288 0.025 0.687] time=7.20 (s)\n",
+      "Gen=      1000: fitness=4.99378416e-05. Strategy wins:  [0.288 0.025 0.687] time=7.42 (s)\n",
+      "Gen=      1200: fitness=4.99378416e-05. Strategy wins:  [0.288 0.025 0.687] time=7.64 (s)\n",
+      "\t\t ### Stop early at 1200 ###\n",
+      "elapsed time = 8.95582890510559\n",
+      "epsilon=10 Statistical error: max=0.0050, Avg=0.0002\n"
+     ]
+    }
+   ],
+   "source": [
+    "## Run this cell to check slow convergence without the cross operator\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(correlated_cat_df, N_prime=200, genetic_operators=['mutate', 'cross'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "privacy budgets: Second moments = 9899855.760007\n",
+      "Cond.Marginal= ['categorical_1', 'categorical_2'] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['categorical_1', 'categorical_3'] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['categorical_2', 'categorical_3'] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=108\n",
+      "Statistics size = 108\n",
+      "Gen=       200: fitness=0.618189086. Strategy wins:  [0.401 0.278 0.321] time=7.76 (s)\n",
+      "Gen=       400: fitness=0.0172480823. Strategy wins:  [0.176 0.167 0.657] time=8.10 (s)\n",
+      "Gen=       600: fitness=0.000349889085. Strategy wins:  [0.511 0.091 0.397] time=8.35 (s)\n",
+      "Gen=       800: fitness=9.79843835e-10. Strategy wins:  [0.68 0.06 0.26] time=8.60 (s)\n",
+      "Gen=      1000: fitness=9.79843835e-10. Strategy wins:  [0.68 0.06 0.26] time=8.84 (s)\n",
+      "Gen=      1200: fitness=9.79843835e-10. Strategy wins:  [0.68 0.06 0.26] time=9.10 (s)\n",
+      "\t\t ### Stop early at 1200 ###\n",
+      "elapsed time = 11.46962594985962\n",
+      "Statistical error: 0.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "3-d correlated categorical data.\n",
+    "\"\"\"\n",
+    "\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "d = 1\n",
+    "columns = ['categorical_1', 'categorical_2', 'categorical_3']\n",
+    "cat_cardinality = 11\n",
+    "N = 200\n",
+    "values = rng.integers(1, cat_cardinality, (N, d ))\n",
+    "values[:190] = 0\n",
+    "data_np = np.column_stack((values, values, values)).astype(str)\n",
+    "correlated_cat_df = pd.DataFrame(data_np, columns=columns)\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(correlated_cat_df, N_prime=200, genetic_operators=['mutate', 'cross'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "# Real-valued low variance"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "This example, consists of real-valued features. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epsilon=100\n",
+      "Cond.Marginal= ['z'] . Sigma=0.0007. Top.Level=12. Max.Size=None\n",
+      "\tTotal size=8190\n",
+      "Statistics size = 13\n",
+      "Gen=      1000: fitness=0.270941663. Strategy wins:  [0.072 0.928] time=6.47 (s)\n",
+      "Gen=      2000: fitness=0.000776905055. Strategy wins:  [0. 1.] time=8.69 (s)\n",
+      "Gen=      3000: fitness=0.000684690974. Strategy wins:  [0. 1.] time=10.80(s)\n",
+      "Gen=      4000: fitness=0.000602060664. Strategy wins:  [0. 1.] time=12.83(s)\n",
+      "Gen=      5000: fitness=0.000450539349. Strategy wins:  [0. 1.] time=15.06(s)\n",
+      "Gen=      6000: fitness=0.000356940471. Strategy wins:  [0. 1.] time=16.74(s)\n",
+      "Gen=      7000: fitness=0.000285178119. Strategy wins:  [0. 1.] time=18.41(s)\n",
+      "Gen=      8000: fitness=0.000244602699. Strategy wins:  [0. 1.] time=20.10(s)\n",
+      "Gen=      9000: fitness=0.000185183489. Strategy wins:  [0. 1.] time=21.84(s)\n",
+      "Gen=     10000: fitness=0.000142951512. Strategy wins:  [0.002 0.998] time=23.51(s)\n",
+      "Gen=     11000: fitness=0.000103554674. Strategy wins:  [0.105 0.895] time=25.29(s)\n",
+      "Gen=     12000: fitness=6.11130925e-05. Strategy wins:  [0.202 0.798] time=26.86(s)\n",
+      "Gen=     13000: fitness=2.364914e-05. Strategy wins:  [0.276 0.724] time=28.43(s)\n",
+      "Gen=     14000: fitness=1.74360619e-06. Strategy wins:  [0.111 0.889] time=29.97(s)\n",
+      "Gen=     15000: fitness=1.74360619e-06. Strategy wins:  [0.111 0.889] time=31.57(s)\n",
+      "Gen=     16000: fitness=1.74360619e-06. Strategy wins:  [0.111 0.889] time=33.21(s)\n",
+      "\t\t ### Stop early at 16000 ###\n",
+      "Statistical error: 0.0020000000000000018\n",
+      "epsilon=10\n",
+      "Cond.Marginal= ['z'] . Sigma=0.0037. Top.Level=12. Max.Size=None\n",
+      "\tTotal size=8190\n",
+      "Statistics size = 28\n",
+      "Gen=      1000: fitness=0.301192775. Strategy wins:  [0.707 0.293] time=5.04 (s)\n",
+      "Gen=      2000: fitness=0.0471352098. Strategy wins:  [0.402 0.598] time=6.42 (s)\n",
+      "Gen=      3000: fitness=0.000459698586. Strategy wins:  [0.264 0.736] time=7.98 (s)\n",
+      "Gen=      4000: fitness=0.000243186968. Strategy wins:  [0.075 0.925] time=9.59 (s)\n",
+      "Gen=      5000: fitness=0.000203849335. Strategy wins:  [0.012 0.988] time=11.79(s)\n",
+      "Gen=      6000: fitness=0.000198925203. Strategy wins:  [0.009 0.991] time=13.98(s)\n",
+      "Gen=      7000: fitness=0.000198925203. Strategy wins:  [0.009 0.991] time=16.06(s)\n",
+      "Gen=      8000: fitness=0.000198925203. Strategy wins:  [0.009 0.991] time=18.03(s)\n",
+      "\t\t ### Stop early at 8000 ###\n",
+      "Statistical error: 0.020000000000000018\n",
+      "epsilon=1\n",
+      "Cond.Marginal= ['z'] . Sigma=0.0280. Top.Level=12. Max.Size=None\n",
+      "\tTotal size=8190\n",
+      "Statistics size = 66\n",
+      "Gen=      1000: fitness=0.151939551. Strategy wins:  [0.386 0.614] time=6.84 (s)\n",
+      "Gen=      2000: fitness=0.0236781053. Strategy wins:  [0.13 0.87] time=8.93 (s)\n",
+      "Gen=      3000: fitness=0.0197088963. Strategy wins:  [0.073 0.927] time=11.28(s)\n",
+      "Gen=      4000: fitness=0.0193091005. Strategy wins:  [0.024 0.976] time=13.25(s)\n",
+      "Gen=      5000: fitness=0.0192582606. Strategy wins:  [0.029 0.971] time=15.26(s)\n",
+      "Gen=      6000: fitness=0.0192528382. Strategy wins:  [0.026 0.974] time=17.22(s)\n",
+      "Gen=      7000: fitness=0.0192319892. Strategy wins:  [0.01 0.99] time=19.15(s)\n",
+      "Gen=      8000: fitness=0.0192304028. Strategy wins:  [0.009 0.991] time=21.06(s)\n",
+      "\t\t ### Stop early at 8000 ###\n",
+      "Statistical error: 0.19999999999999996\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/giuseppevietri/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x300 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Real-valued data\n",
+    "\"\"\"\n",
+    "In some situations the input data in concentrated in a small regions. In these case we must increase \n",
+    "the granularity of the queries. \n",
+    "\"\"\"\n",
+    "\n",
+    "\n",
+    "collect = []\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "N = 1000\n",
+    "z = np.concatenate([0.0001 * np.random.randn(N//2) + 0.1, 0.0003 * np.random.randn(N//2) + 0.2]).reshape((N,1))\n",
+    "cont_cols = ['z']\n",
+    "data_cont_df = pd.DataFrame(z, columns=cont_cols)\n",
+    "meta_data = {'z': {'type': 'float', 'lower': 0, 'upper': 1} }\n",
+    "\n",
+    "plot_data = data_cont_df.copy()\n",
+    "plot_data.loc[:, 'Type'] = 'Original'\n",
+    "collect.append(plot_data)\n",
+    "\n",
+    "# Run GSD\n",
+    "\n",
+    "for epsilon in [100, 10, 1]:\n",
+    "    print(f'epsilon={epsilon}')\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    # Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}'\n",
+    "    collect.append(sync_df)\n",
+    "\n",
+    "all_data = pd.concat(collect)\n",
+    "g= sns.FacetGrid(data=all_data, col='Type')\n",
+    "g.map(sns.histplot, \"z\", binrange=(0,1), bins=200)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "# Real-valued data: 2-dimensional"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "collect = []\n",
+    "\n",
+    "mean = [0.5, 0.5]\n",
+    "cov = [[.01, 0.0099], \n",
+    "       [0.0099, .01]]  # diagonal covariance\n",
+    "\n",
+    "N = 200\n",
+    "\n",
+    "x, y = np.random.multivariate_normal(mean, cov, N).T\n",
+    "values_cont = np.column_stack((x, y))\n",
+    "values_cont[100:300, 0] = 0.03\n",
+    "values_cont[100:300, 1] = 0.93\n",
+    "\n",
+    "cont_cols = ['c1', 'c2']\n",
+    "data_cont_df = pd.DataFrame(values_cont, columns=cont_cols)\n",
+    "meta_data = {'c1': {'type': 'float', 'lower': 0, 'upper': 1}, 'c2': {'type': 'float', 'lower': 0, 'upper': 1}}\n",
+    "\n",
+    "plot_data = data_cont_df.copy()\n",
+    "plot_data.loc[:, 'Type'] = 'Original'\n",
+    "collect.append(plot_data)\n",
+    "\n",
+    "\n",
+    "for epsilon in [1000, 100]:\n",
+    "    print(f'epsilon={epsilon}')\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}'\n",
+    "    collect.append(sync_df)\n",
+    "\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    # Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous', 'swap'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}/swap'\n",
+    "    collect.append(sync_df)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/giuseppevietri/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x300 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "all_data = pd.concat(collect)\n",
+    "g= sns.FacetGrid(data=all_data, col='Type', sharey=True,sharex=True)\n",
+    "g.map(sns.scatterplot, \"c1\", \"c2\", alpha=0.1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# End"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.17"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/synth/samples/gsd_sample/GSD vs AIM using Adult.ipynb b/synth/samples/gsd_sample/GSD vs AIM using Adult.ipynb
new file mode 100644
index 00000000..0b171bd0
--- /dev/null
+++ b/synth/samples/gsd_sample/GSD vs AIM using Adult.ipynb	
@@ -0,0 +1,692 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Comparing GSD and AIM\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "For GSD support, please install jax: pip install --upgrade  \"jax[cuda11_cudnn82]==0.4.6\" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import subprocess\n",
+    "import utils\n",
+    "from snsynth import Synthesizer\n",
+    "from snsynth.gsd import GSDSynthesizer\n",
+    "from snsynth.aim import AIMSynthesizer\n",
+    "from load_data import load_data\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "import time\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Adult (Categorical)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "loading downloaded_datasets/adult.csv\n",
+      "Memory consumed by adult:4167808\n",
+      "Index(['workclass', 'education', 'marital-status', 'occupation',\n",
+      "       'relationship', 'race', 'sex', 'native-country', 'earning-class'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "adult_path = 'adult.csv'\n",
+    "datasets = load_data(['adult'])\n",
+    "    \n",
+    "adult_df = datasets['adult']['data']\n",
+    "\n",
+    "target =  datasets['adult']['target']\n",
+    "categorical_columns =  datasets['adult']['categorical_columns'].split(',')\n",
+    "\n",
+    "adult_df = adult_df[categorical_columns]\n",
+    "print(adult_df.columns)\n",
+    "\n",
+    "\n",
+    "adult_df_train, adult_df_test = train_test_split(adult_df, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "AIM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting with 76204800 dimensions\n",
+      "9\n",
+      "Initial Sigma 73.09534912965321\n",
+      "Selected ('col2', 'col4') Size 42 Budget Used 0.06319444444444443\n",
+      "Selected ('col4', 'col6') Size 12 Budget Used 0.07013888888888886\n",
+      "Selected ('col2', 'col8') Size 14 Budget Used 0.07708333333333331\n",
+      "Selected ('col3', 'col6') Size 30 Budget Used 0.08402777777777774\n",
+      "Selected ('col3', 'col8') Size 30 Budget Used 0.09097222222222219\n",
+      "Selected ('col1', 'col8') Size 32 Budget Used 0.09791666666666662\n",
+      "Selected ('col0', 'col3') Size 135 Budget Used 0.10486111111111107\n",
+      "Selected ('col5', 'col6') Size 10 Budget Used 0.1118055555555555\n",
+      "Selected ('col0', 'col6') Size 18 Budget Used 0.11874999999999994\n",
+      "Selected ('col5', 'col8') Size 10 Budget Used 0.1256944444444444\n",
+      "Selected ('col2', 'col6') Size 14 Budget Used 0.13263888888888883\n",
+      "Selected ('col4', 'col8') Size 12 Budget Used 0.13958333333333328\n",
+      "Selected ('col6', 'col8') Size 4 Budget Used 0.14652777777777776\n",
+      "Selected ('col1', 'col6') Size 32 Budget Used 0.1534722222222222\n",
+      "Selected ('col5', 'col6') Size 10 Budget Used 0.16041666666666665\n",
+      "(!!!!!!!!!!!!!!!!!!!!!!) Reducing sigma 36.54767456482661\n",
+      "Selected ('col1', 'col3') Size 240 Budget Used 0.18819444444444444\n",
+      "Selected ('col1', 'col4') Size 96 Budget Used 0.2159722222222222\n",
+      "Selected ('col0', 'col4') Size 54 Budget Used 0.24374999999999997\n",
+      "Selected ('col2', 'col3') Size 105 Budget Used 0.2715277777777777\n",
+      "Selected ('col4', 'col5') Size 30 Budget Used 0.2993055555555555\n",
+      "Selected ('col0', 'col8') Size 18 Budget Used 0.3270833333333332\n",
+      "Selected ('col1', 'col6') Size 32 Budget Used 0.354861111111111\n",
+      "Selected ('col2', 'col5') Size 35 Budget Used 0.38263888888888875\n",
+      "Selected ('col1',) Size 16 Budget Used 0.4104166666666665\n",
+      "(!!!!!!!!!!!!!!!!!!!!!!) Reducing sigma 18.273837282413304\n",
+      "Selected ('col0', 'col3') Size 135 Budget Used 0.5215277777777776\n",
+      "Selected ('col5', 'col7') Size 210 Budget Used 0.6326388888888888\n",
+      "Selected ('col1', 'col4') Size 96 Budget Used 0.7437499999999998\n",
+      "Selected ('col3', 'col4') Size 90 Budget Used 0.8548611111111108\n",
+      "Selected ('col1', 'col3') Size 240 Budget Used 1.0\n",
+      "(!!!!!!!!!!!!!!!!!!!!!!) Reducing sigma 7.994413468365295\n",
+      "Estimating marginals\n",
+      "elapsed time= 360.200\n"
+     ]
+    }
+   ],
+   "source": [
+    "t0 = time.time()\n",
+    "aim = AIMSynthesizer(epsilon=1.0, delta=1e-9, verbose=True)\n",
+    "aim.fit(adult_df_train, categorical_columns=categorical_columns)\n",
+    "print(f'elapsed time= {time.time() - t0:.3f}')\n",
+    "aim_adult_df = aim.sample()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " GSD"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "privacy budgets: Second moments = 0.014973\n",
+      "Cond.Marginal= ['workclass', 'education'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'marital-status'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'occupation'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'relationship'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'race'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'sex'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['workclass', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'marital-status'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'occupation'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'relationship'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'race'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'sex'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['education', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'occupation'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'relationship'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'race'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'sex'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['marital-status', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'relationship'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'race'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'sex'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['occupation', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'race'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'sex'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['relationship', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['race', 'sex'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['race', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['race', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['sex', 'native-country'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['sex', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "Cond.Marginal= ['native-country', 'earning-class'] . Sigma=0.0027. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=4186\n",
+      "Statistics size = 4186\n",
+      "Gen=      5000: fitness=3.88256401. Strategy wins:  [0.288 0.098 0.421 0.193] time=18.43(s)\n",
+      "Gen=     10000: fitness=1.63625713. Strategy wins:  [0.137 0.24  0.538 0.086] time=28.23(s)\n",
+      "Gen=     15000: fitness=0.56382656. Strategy wins:  [0.098 0.086 0.514 0.302] time=37.76(s)\n",
+      "Gen=     20000: fitness=0.0734815443. Strategy wins:  [0.171 0.145 0.464 0.221] time=46.64(s)\n",
+      "Gen=     25000: fitness=0.0137806233. Strategy wins:  [0.437 0.26  0.107 0.197] time=55.79(s)\n",
+      "Gen=     30000: fitness=0.0108169563. Strategy wins:  [0.266 0.223 0.139 0.372] time=65.50(s)\n",
+      "Gen=     35000: fitness=0.0103832421. Strategy wins:  [0.168 0.235 0.179 0.417] time=74.93(s)\n",
+      "Gen=     40000: fitness=0.0102522209. Strategy wins:  [0.17  0.176 0.367 0.287] time=84.51(s)\n",
+      "Gen=     45000: fitness=0.0101700514. Strategy wins:  [0.322 0.165 0.246 0.266] time=93.78(s)\n",
+      "Gen=     50000: fitness=0.0101259389. Strategy wins:  [0.175 0.292 0.169 0.364] time=102.95(s)\n",
+      "Gen=     55000: fitness=0.0100910233. Strategy wins:  [0.293 0.198 0.35  0.158] time=113.38(s)\n",
+      "Gen=     60000: fitness=0.0100652207. Strategy wins:  [0.212 0.132 0.396 0.26 ] time=122.98(s)\n",
+      "Gen=     65000: fitness=0.0100493422. Strategy wins:  [0.366 0.152 0.216 0.266] time=132.19(s)\n",
+      "Gen=     70000: fitness=0.0100346154. Strategy wins:  [0.247 0.248 0.244 0.261] time=141.57(s)\n",
+      "Gen=     75000: fitness=0.0100207477. Strategy wins:  [0.068 0.278 0.383 0.271] time=151.65(s)\n",
+      "Gen=     80000: fitness=0.0100112948. Strategy wins:  [0.02  0.562 0.243 0.175] time=161.38(s)\n",
+      "Gen=     85000: fitness=0.0100075904. Strategy wins:  [0.006 0.705 0.279 0.01 ] time=173.52(s)\n",
+      "Gen=     90000: fitness=0.0100044387. Strategy wins:  [0.002 0.959 0.039 0.   ] time=187.89(s)\n",
+      "Gen=     95000: fitness=0.00999953425. Strategy wins:  [0.004 0.565 0.43  0.   ] time=202.57(s)\n",
+      "Gen=    100000: fitness=0.00999793999. Strategy wins:  [0.    0.814 0.186 0.   ] time=214.74(s)\n",
+      "Gen=    105000: fitness=0.0099947214. Strategy wins:  [0.001 0.629 0.371 0.   ] time=229.55(s)\n",
+      "Gen=    110000: fitness=0.00999186076. Strategy wins:  [0.    0.669 0.331 0.   ] time=241.65(s)\n",
+      "Gen=    115000: fitness=0.00998913589. Strategy wins:  [0.    0.937 0.063 0.   ] time=253.59(s)\n",
+      "Gen=    120000: fitness=0.00998729747. Strategy wins:  [0.003 0.995 0.002 0.   ] time=268.18(s)\n",
+      "Gen=    125000: fitness=0.00998531184. Strategy wins:  [0. 1. 0. 0.] time=282.96(s)\n",
+      "Gen=    130000: fitness=0.00998327858. Strategy wins:  [0. 1. 0. 0.] time=297.88(s)\n",
+      "Gen=    135000: fitness=0.00998119965. Strategy wins:  [0. 1. 0. 0.] time=312.85(s)\n",
+      "Gen=    140000: fitness=0.0099803874. Strategy wins:  [0.001 0.999 0.    0.   ] time=327.88(s)\n",
+      "\t\t ### Stop early at 140000 ###\n",
+      "elapsed time= 335.535\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run GSD\n",
+    "\n",
+    "t0 = time.time()\n",
+    "gsd = GSDSynthesizer(epsilon=1.0, delta=1e-9, verbose=True)\n",
+    "gsd.fit(adult_df_train, N_prime=5000, categorical_columns=categorical_columns)\n",
+    "print(f'elapsed time= {time.time() - t0:.3f}')\n",
+    "gsd_adult_df = gsd.sample()"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "In this section, we construct a toy dataset with one categorical feature with cardinality 10000. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cond.Marginal= [0] . Sigma=0.0000. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=6328\n",
+      "Statistics size = 6328\n",
+      "Gen=      1000: fitness=0.00893408622. Strategy wins:  [0.426 0.574] time=3.94 (s)\n",
+      "Gen=      2000: fitness=0.000379580813. Strategy wins:  [1. 0.] time=5.20 (s)\n",
+      "Gen=      3000: fitness=0.000377139804. Strategy wins:  [1. 0.] time=6.30 (s)\n",
+      "Gen=      4000: fitness=0.000376495727. Strategy wins:  [1. 0.] time=7.43 (s)\n",
+      "Gen=      5000: fitness=0.000376359241. Strategy wins:  [1. 0.] time=8.52 (s)\n",
+      "Gen=      6000: fitness=0.000376350038. Strategy wins:  [1. 0.] time=9.60 (s)\n",
+      "\t\t ### Stop early at 6000 ###\n",
+      "elapsed time = 15.244399785995483\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'epsilon' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[5], line 22\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124melapsed time = \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtime\u001b[38;5;241m.\u001b[39mtime()\u001b[38;5;250m \u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;250m \u001b[39mt0\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     21\u001b[0m error \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mabs(synth\u001b[38;5;241m.\u001b[39mstat_fn(synth\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mto_numpy()) \u001b[38;5;241m-\u001b[39m synth\u001b[38;5;241m.\u001b[39mstat_fn(synth\u001b[38;5;241m.\u001b[39msync_data\u001b[38;5;241m.\u001b[39mto_numpy()))\n\u001b[0;32m---> 22\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mepsilon=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mepsilon\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mStatistical error: max=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00merror\u001b[38;5;241m.\u001b[39mmax()\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, Avg=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00merror\u001b[38;5;241m.\u001b[39mmean()\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'epsilon' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "import time\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "d = 1\n",
+    "ordinal_columns = 'categorical_1'\n",
+    "cat_cardinality = 10000\n",
+    "N = 2 * cat_cardinality\n",
+    "\n",
+    "data_np = rng.integers(0, cat_cardinality, (N, d ))\n",
+    "data_np[:cat_cardinality, 0] = 0\n",
+    "data_np = data_np.astype(str)\n",
+    "data_df = pd.DataFrame(data_np, columns=[ordinal_columns])\n",
+    "\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(3000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(data_np, N_prime=1000, genetic_operators=['mutate', 'cross'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run this cell to observe slow converge behavior without the cross genetic operator.\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(3000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(data_df, N_prime=1000, genetic_operators=['mutate'])\n",
+    "print(f'elapsed time = {time.time() - t0}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rng = np.random.default_rng(1)\n",
+    "\n",
+    "d = 1\n",
+    "columns = ['categorical_1', 'categorical_2']\n",
+    "cat_cardinality = 11\n",
+    "N = 200\n",
+    "values = rng.integers(1, cat_cardinality, (N, d ))\n",
+    "values[:190] = 0\n",
+    "data_np = np.column_stack((values, values)).astype(str)\n",
+    "correlated_cat_df = pd.DataFrame(data_np, columns=columns)\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(correlated_cat_df, N_prime=200, genetic_operators=['mutate', 'cross', 'swap'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Run this cell to check slow convergence without the cross operator\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(correlated_cat_df, N_prime=200, genetic_operators=['mutate', 'cross'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "3-d correlated categorical data.\n",
+    "\"\"\"\n",
+    "\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "d = 1\n",
+    "columns = ['categorical_1', 'categorical_2', 'categorical_3']\n",
+    "cat_cardinality = 11\n",
+    "N = 200\n",
+    "values = rng.integers(1, cat_cardinality, (N, d ))\n",
+    "values[:190] = 0\n",
+    "data_np = np.column_stack((values, values, values)).astype(str)\n",
+    "correlated_cat_df = pd.DataFrame(data_np, columns=columns)\n",
+    "\n",
+    "t0 = time.time()\n",
+    "synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)\n",
+    "# Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "synth.fit(correlated_cat_df, N_prime=200, genetic_operators=['mutate', 'cross'])\n",
+    "print(f'elapsed time = {time.time() - t0}')\n",
+    "\n",
+    "error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ML evaluation\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We follow the train on synthetic, test on real approach:\n",
+    "\n",
+    "- Given two sets of real data: A train set and ad test set.\n",
+    "- Generate synthetic data using the train set.\n",
+    "- Then we train a ML model using the synthetic data.\n",
+    "- Finally, we validate the model's performance using the holdout real data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.naive_bayes import ComplementNB\n",
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "from sklearn.ensemble import GradientBoostingClassifier\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.compose import ColumnTransformer\n",
+    "from sklearn.datasets import fetch_openml\n",
+    "from sklearn.feature_selection import SelectPercentile, chi2\n",
+    "from sklearn.impute import SimpleImputer\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.model_selection import RandomizedSearchCV, train_test_split\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "\n",
+    "from sklearn.metrics import f1_score\n",
+    "\n",
+    "categorical_features = categorical_columns.copy()\n",
+    "label = 'earning-class'\n",
+    "categorical_features.remove(label)\n",
+    "\n",
+    "\n",
+    "categorical_transformer = Pipeline(\n",
+    "    steps=[\n",
+    "        (\"encoder\", OneHotEncoder(handle_unknown=\"ignore\")),\n",
+    "        (\"selector\", SelectPercentile(chi2, percentile=50)),\n",
+    "    ]\n",
+    ")\n",
+    "preprocessor = ColumnTransformer(\n",
+    "    transformers=[\n",
+    "        # (\"num\", numeric_transformer, numeric_features),\n",
+    "        (\"cat\", categorical_transformer, categorical_features),\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "clf = Pipeline(\n",
+    "    steps=[(\"preprocessor\", preprocessor), (\"classifier\", GradientBoostingClassifier())]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on real:\n",
+      "Accuracy=0.8349\n",
+      "F1-score = 0.7528\n"
+     ]
+    }
+   ],
+   "source": [
+    "X_real = adult_df_train[categorical_features]\n",
+    "y_real = adult_df_train[label]\n",
+    "\n",
+    "\n",
+    "X_test = adult_df_test[categorical_features]\n",
+    "y_test = adult_df_test[label]\n",
+    "\n",
+    "clf.fit(X_real, y_real)\n",
+    "\n",
+    "print(f'Train on real:')\n",
+    "print(f\"Accuracy={clf.score(X_test, y_test):.4f}\")\n",
+    "print(f\"F1-score = {f1_score(y_test, clf.predict(X_test), average='macro'):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on AIM synthetic data:\n",
+      "Accuracy = 0.8303\n",
+      "F1-score = 0.7461\n"
+     ]
+    }
+   ],
+   "source": [
+    "X_aim = aim_adult_df[categorical_features]\n",
+    "y_aim = aim_adult_df[label]\n",
+    "\n",
+    "clf.fit(X_aim, y_aim)\n",
+    "\n",
+    "\n",
+    "print(f'Train on AIM synthetic data:')\n",
+    "print(f\"Accuracy = {clf.score(X_test, y_test):.4f}\")\n",
+    "print(f\"F1-score = {f1_score(y_test, clf.predict(X_test), average='macro'):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on GSD synthetic data:\n",
+      "Accuracy = 0.8349\n",
+      "F1-score = 0.7494\n"
+     ]
+    }
+   ],
+   "source": [
+    "X_gsd = gsd_adult_df[categorical_features]\n",
+    "y_gsd = gsd_adult_df[label]\n",
+    "\n",
+    "clf.fit(X_gsd, y_gsd)\n",
+    "\n",
+    "print(f'Train on GSD synthetic data:')\n",
+    "print(f\"Accuracy = {clf.score(X_test, y_test):.4f}\")\n",
+    "print(f\"F1-score = {f1_score(y_test, clf.predict(X_test), average='macro'):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "rng = np.random.default_rng(0)\n",
+    "\n",
+    "collect = []\n",
+    "\n",
+    "mean = [0.5, 0.5]\n",
+    "cov = [[.01, 0.0099], \n",
+    "       [0.0099, .01]]  # diagonal covariance\n",
+    "\n",
+    "N = 200\n",
+    "\n",
+    "x, y = np.random.multivariate_normal(mean, cov, N).T\n",
+    "values_cont = np.column_stack((x, y))\n",
+    "values_cont[100:300, 0] = 0.03\n",
+    "values_cont[100:300, 1] = 0.93\n",
+    "\n",
+    "cont_cols = ['c1', 'c2']\n",
+    "data_cont_df = pd.DataFrame(values_cont, columns=cont_cols)\n",
+    "meta_data = {'c1': {'type': 'float', 'lower': 0, 'upper': 1}, 'c2': {'type': 'float', 'lower': 0, 'upper': 1}}\n",
+    "\n",
+    "plot_data = data_cont_df.copy()\n",
+    "plot_data.loc[:, 'Type'] = 'Original'\n",
+    "collect.append(plot_data)\n",
+    "\n",
+    "\n",
+    "for epsilon in [1000, 100]:\n",
+    "    print(f'epsilon={epsilon}')\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}'\n",
+    "    collect.append(sync_df)\n",
+    "\n",
+    "    synth = GSDSynthesizer(float(epsilon), 1e-5, tree_height=12, verbose=True)\n",
+    "    # Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.\n",
+    "    synth.fit(data_cont_df, meta_data=meta_data, \n",
+    "              genetic_operators=['mutate', 'continuous', 'swap'])\n",
+    "    error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy()))\n",
+    "    print(f'epsilon={epsilon}', f'Statistical error: max={error.max():.4f}, Avg={error.mean():.4f}')\n",
+    "    sync_df = synth.sample()\n",
+    "    sync_df.loc[:, 'Type'] = f'eps={epsilon}/swap'\n",
+    "    collect.append(sync_df)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_data = pd.concat(collect)\n",
+    "g= sns.FacetGrid(data=all_data, col='Type', sharey=True,sharex=True)\n",
+    "g.map(sns.scatterplot, \"c1\", \"c2\", alpha=0.1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# End"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.17"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/synth/samples/gsd_sample/MNIST GSD (Image Data).ipynb b/synth/samples/gsd_sample/MNIST GSD (Image Data).ipynb
new file mode 100644
index 00000000..54d2a386
--- /dev/null
+++ b/synth/samples/gsd_sample/MNIST GSD (Image Data).ipynb	
@@ -0,0 +1,1946 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "MNIST classification (drawn from sklearn example)\n",
+    "=====================================================\n",
+    "MWEM is not particularly well suited for image data (where there are tons of features with relatively large ranges) but it is still able to capture some important information about the underlying distributions if tuned correctly.\n",
+    "\n",
+    "We use a feature included with MWEM that allows a column to be specified for a custom bin count, if we are capping every other bin count at a small value. In this case, we specify that the numerical column (784) has 10 possible values. We do this with the dict {'784': 10}.\n",
+    "\n",
+    "Here we borrow from a scikit-learn example, and insert MWEM synthetic data into their training example/visualization, to understand the tradeoffs.\n",
+    "\n",
+    "https://scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html#sphx-glr-download-auto-examples-linear-model-plot-sparse-logistic-regression-mnist-py\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "import time\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from sklearn.datasets import fetch_openml\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.utils import check_random_state\n",
+    "from snsynth.gsd import GSDSynthesizer\n",
+    "\n",
+    "# pip install scikit-image\n",
+    "# from skimage import data, color\n",
+    "# from skimage.transform import rescale\n",
+    "\n",
+    "# Author: Arthur Mensch <arthur.mensch@m4x.org>\n",
+    "# License: BSD 3 clause\n",
+    "\n",
+    "# Turn down for faster convergence\n",
+    "t0 = time.time()\n",
+    "train_samples = 5000\n",
+    "\n",
+    "# Load data from https://www.openml.org/d/554\n",
+    "data = fetch_openml('mnist_784', version=1, return_X_y=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_np = np.hstack((data.data,np.reshape(data.target.to_numpy().astype(int), (-1, 1))))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "columns = []\n",
+    "for i in range(28):\n",
+    "    for j in range(28):\n",
+    "        columns.append(f'p_{i}_{j}')\n",
+    "columns.append('Label')\n",
+    "data_df = pd.DataFrame(data_np, columns=columns)\n",
+    "\n",
+    "marginals = []\n",
+    "for i in range(28):\n",
+    "    for j in range(28):\n",
+    "        c1 = f'p_{i}_{j}'\n",
+    "        if j < 27:\n",
+    "            marginals.append((c1, f'p_{i}_{j+1}', 'Label'))\n",
+    "        if i < 27:\n",
+    "            marginals.append((c1, f'p_{i+1}_{j}', 'Label'))\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snsynth.transform import TableTransformer, BinTransformer, LabelTransformer\n",
+    "\n",
+    "transformers = [BinTransformer(lower=0.0, upper=255.0, bins=4) for _ in range(data_np.shape[1] - 1)]\n",
+    "transformers.append(LabelTransformer())\n",
+    "transformer = TableTransformer(transformers)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Marginal= ('p_0_0', 'p_0_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_0', 'p_1_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_1', 'p_0_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_1', 'p_1_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_2', 'p_0_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_2', 'p_1_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_3', 'p_0_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_3', 'p_1_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_4', 'p_0_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_4', 'p_1_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_5', 'p_0_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_5', 'p_1_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_6', 'p_0_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_6', 'p_1_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_7', 'p_0_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_7', 'p_1_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_8', 'p_0_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_8', 'p_1_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_9', 'p_0_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_9', 'p_1_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_10', 'p_0_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_10', 'p_1_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_11', 'p_0_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_11', 'p_1_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_12', 'p_0_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_12', 'p_1_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_13', 'p_0_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_13', 'p_1_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_14', 'p_0_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_14', 'p_1_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_15', 'p_0_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_15', 'p_1_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_16', 'p_0_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_16', 'p_1_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_17', 'p_0_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_17', 'p_1_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_18', 'p_0_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_18', 'p_1_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_19', 'p_0_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_19', 'p_1_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_20', 'p_0_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_20', 'p_1_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_21', 'p_0_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_21', 'p_1_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_22', 'p_0_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_22', 'p_1_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_23', 'p_0_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_23', 'p_1_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_24', 'p_0_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_24', 'p_1_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_25', 'p_0_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_25', 'p_1_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_26', 'p_0_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_26', 'p_1_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_0_27', 'p_1_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_0', 'p_1_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_0', 'p_2_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_1', 'p_1_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_1', 'p_2_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_2', 'p_1_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_2', 'p_2_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_3', 'p_1_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_3', 'p_2_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_4', 'p_1_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_4', 'p_2_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_5', 'p_1_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_5', 'p_2_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_6', 'p_1_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_6', 'p_2_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_7', 'p_1_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_7', 'p_2_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_8', 'p_1_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_8', 'p_2_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_9', 'p_1_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_9', 'p_2_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_10', 'p_1_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_10', 'p_2_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_11', 'p_1_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_11', 'p_2_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_12', 'p_1_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_12', 'p_2_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_13', 'p_1_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_13', 'p_2_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_14', 'p_1_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_14', 'p_2_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_15', 'p_1_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_15', 'p_2_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_16', 'p_1_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_16', 'p_2_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_17', 'p_1_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_17', 'p_2_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_18', 'p_1_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_18', 'p_2_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_19', 'p_1_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_19', 'p_2_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_20', 'p_1_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_20', 'p_2_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_21', 'p_1_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_21', 'p_2_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_22', 'p_1_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_22', 'p_2_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_23', 'p_1_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_23', 'p_2_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_24', 'p_1_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_24', 'p_2_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_25', 'p_1_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_25', 'p_2_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_26', 'p_1_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_26', 'p_2_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_1_27', 'p_2_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_0', 'p_2_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_0', 'p_3_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_1', 'p_2_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_1', 'p_3_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_2', 'p_2_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_2', 'p_3_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_3', 'p_2_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_3', 'p_3_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_4', 'p_2_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_4', 'p_3_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_5', 'p_2_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_5', 'p_3_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_6', 'p_2_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_6', 'p_3_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_7', 'p_2_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_7', 'p_3_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_8', 'p_2_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_8', 'p_3_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_9', 'p_2_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_9', 'p_3_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_10', 'p_2_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_10', 'p_3_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_11', 'p_2_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_11', 'p_3_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_12', 'p_2_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_12', 'p_3_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_13', 'p_2_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_13', 'p_3_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_14', 'p_2_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_14', 'p_3_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_15', 'p_2_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_15', 'p_3_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_16', 'p_2_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_16', 'p_3_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_17', 'p_2_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_17', 'p_3_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_18', 'p_2_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_18', 'p_3_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_19', 'p_2_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_19', 'p_3_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_20', 'p_2_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_20', 'p_3_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_21', 'p_2_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_21', 'p_3_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_22', 'p_2_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_22', 'p_3_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_23', 'p_2_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_23', 'p_3_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_24', 'p_2_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_24', 'p_3_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_25', 'p_2_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_25', 'p_3_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_26', 'p_2_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_26', 'p_3_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_2_27', 'p_3_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_0', 'p_3_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_0', 'p_4_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_1', 'p_3_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_1', 'p_4_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_2', 'p_3_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_2', 'p_4_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_3', 'p_3_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_3', 'p_4_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_4', 'p_3_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_4', 'p_4_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_5', 'p_3_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_5', 'p_4_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_6', 'p_3_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_6', 'p_4_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_7', 'p_3_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_7', 'p_4_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_8', 'p_3_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_8', 'p_4_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_9', 'p_3_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_9', 'p_4_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_10', 'p_3_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_10', 'p_4_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_11', 'p_3_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_11', 'p_4_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_12', 'p_3_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_12', 'p_4_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_13', 'p_3_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_13', 'p_4_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_14', 'p_3_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_14', 'p_4_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_15', 'p_3_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_15', 'p_4_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_16', 'p_3_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_16', 'p_4_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_17', 'p_3_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_17', 'p_4_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_18', 'p_3_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_18', 'p_4_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_19', 'p_3_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_19', 'p_4_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_20', 'p_3_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_20', 'p_4_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_21', 'p_3_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_21', 'p_4_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_22', 'p_3_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_22', 'p_4_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_23', 'p_3_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_23', 'p_4_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_24', 'p_3_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_24', 'p_4_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_25', 'p_3_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_25', 'p_4_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_26', 'p_3_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_26', 'p_4_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_3_27', 'p_4_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_0', 'p_4_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_0', 'p_5_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_1', 'p_4_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_1', 'p_5_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_2', 'p_4_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_2', 'p_5_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_3', 'p_4_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_3', 'p_5_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_4', 'p_4_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_4', 'p_5_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_5', 'p_4_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_5', 'p_5_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_6', 'p_4_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_6', 'p_5_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_7', 'p_4_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_7', 'p_5_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_8', 'p_4_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_8', 'p_5_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_9', 'p_4_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_9', 'p_5_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_10', 'p_4_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_10', 'p_5_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_11', 'p_4_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_11', 'p_5_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_12', 'p_4_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_12', 'p_5_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_13', 'p_4_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_13', 'p_5_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_14', 'p_4_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_14', 'p_5_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_15', 'p_4_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_15', 'p_5_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_16', 'p_4_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_16', 'p_5_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_17', 'p_4_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_17', 'p_5_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_18', 'p_4_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_18', 'p_5_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_19', 'p_4_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_19', 'p_5_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_20', 'p_4_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_20', 'p_5_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_21', 'p_4_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_21', 'p_5_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_22', 'p_4_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_22', 'p_5_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_23', 'p_4_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_23', 'p_5_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_24', 'p_4_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_24', 'p_5_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_25', 'p_4_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_25', 'p_5_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_26', 'p_4_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_26', 'p_5_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_4_27', 'p_5_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_0', 'p_5_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_0', 'p_6_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_1', 'p_5_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_1', 'p_6_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_2', 'p_5_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_2', 'p_6_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_3', 'p_5_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_3', 'p_6_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_4', 'p_5_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_4', 'p_6_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_5', 'p_5_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_5', 'p_6_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_6', 'p_5_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_6', 'p_6_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_7', 'p_5_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_7', 'p_6_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_8', 'p_5_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_8', 'p_6_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_9', 'p_5_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_9', 'p_6_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_10', 'p_5_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_10', 'p_6_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_11', 'p_5_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_11', 'p_6_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_12', 'p_5_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_12', 'p_6_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_13', 'p_5_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_13', 'p_6_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_14', 'p_5_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_14', 'p_6_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_15', 'p_5_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_15', 'p_6_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_16', 'p_5_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_16', 'p_6_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_17', 'p_5_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_17', 'p_6_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_18', 'p_5_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_18', 'p_6_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_19', 'p_5_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_19', 'p_6_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_20', 'p_5_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_20', 'p_6_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_21', 'p_5_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_21', 'p_6_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_22', 'p_5_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_22', 'p_6_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_23', 'p_5_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_23', 'p_6_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_24', 'p_5_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_24', 'p_6_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_25', 'p_5_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_25', 'p_6_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_26', 'p_5_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_26', 'p_6_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_5_27', 'p_6_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_0', 'p_6_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_0', 'p_7_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_1', 'p_6_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_1', 'p_7_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_2', 'p_6_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_2', 'p_7_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_3', 'p_6_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_3', 'p_7_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_4', 'p_6_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_4', 'p_7_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_5', 'p_6_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_5', 'p_7_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_6', 'p_6_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_6', 'p_7_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_7', 'p_6_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_7', 'p_7_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_8', 'p_6_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_8', 'p_7_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_9', 'p_6_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_9', 'p_7_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_10', 'p_6_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_10', 'p_7_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_11', 'p_6_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_11', 'p_7_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_12', 'p_6_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_12', 'p_7_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_13', 'p_6_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_13', 'p_7_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_14', 'p_6_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_14', 'p_7_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_15', 'p_6_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_15', 'p_7_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_16', 'p_6_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_16', 'p_7_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_17', 'p_6_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_17', 'p_7_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_18', 'p_6_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_18', 'p_7_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_19', 'p_6_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_19', 'p_7_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_20', 'p_6_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_20', 'p_7_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_21', 'p_6_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_21', 'p_7_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_22', 'p_6_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_22', 'p_7_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_23', 'p_6_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_23', 'p_7_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_24', 'p_6_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_24', 'p_7_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_25', 'p_6_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_25', 'p_7_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_26', 'p_6_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_26', 'p_7_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_6_27', 'p_7_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_0', 'p_7_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_0', 'p_8_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_1', 'p_7_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_1', 'p_8_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_2', 'p_7_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_2', 'p_8_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_3', 'p_7_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_3', 'p_8_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_4', 'p_7_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_4', 'p_8_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_5', 'p_7_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_5', 'p_8_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_6', 'p_7_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_6', 'p_8_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_7', 'p_7_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_7', 'p_8_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_8', 'p_7_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_8', 'p_8_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_9', 'p_7_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_9', 'p_8_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_10', 'p_7_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_10', 'p_8_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_11', 'p_7_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_11', 'p_8_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_12', 'p_7_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_12', 'p_8_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_13', 'p_7_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_13', 'p_8_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_14', 'p_7_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_14', 'p_8_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_15', 'p_7_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_15', 'p_8_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_16', 'p_7_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_16', 'p_8_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_17', 'p_7_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_17', 'p_8_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_18', 'p_7_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_18', 'p_8_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_19', 'p_7_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_19', 'p_8_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_20', 'p_7_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_20', 'p_8_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_21', 'p_7_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_21', 'p_8_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_22', 'p_7_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_22', 'p_8_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_23', 'p_7_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_23', 'p_8_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_24', 'p_7_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_24', 'p_8_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_25', 'p_7_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_25', 'p_8_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_26', 'p_7_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_26', 'p_8_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_7_27', 'p_8_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_0', 'p_8_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_0', 'p_9_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_1', 'p_8_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_1', 'p_9_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_2', 'p_8_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_2', 'p_9_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_3', 'p_8_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_3', 'p_9_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_4', 'p_8_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_4', 'p_9_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_5', 'p_8_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_5', 'p_9_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_6', 'p_8_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_6', 'p_9_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_7', 'p_8_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_7', 'p_9_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_8', 'p_8_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_8', 'p_9_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_9', 'p_8_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_9', 'p_9_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_10', 'p_8_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_10', 'p_9_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_11', 'p_8_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_11', 'p_9_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_12', 'p_8_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_12', 'p_9_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_13', 'p_8_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_13', 'p_9_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_14', 'p_8_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_14', 'p_9_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_15', 'p_8_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_15', 'p_9_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_16', 'p_8_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_16', 'p_9_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_17', 'p_8_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_17', 'p_9_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_18', 'p_8_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_18', 'p_9_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_19', 'p_8_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_19', 'p_9_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_20', 'p_8_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_20', 'p_9_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_21', 'p_8_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_21', 'p_9_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_22', 'p_8_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_22', 'p_9_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_23', 'p_8_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_23', 'p_9_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_24', 'p_8_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_24', 'p_9_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_25', 'p_8_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_25', 'p_9_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_26', 'p_8_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_26', 'p_9_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_8_27', 'p_9_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_0', 'p_9_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_0', 'p_10_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_1', 'p_9_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_1', 'p_10_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_2', 'p_9_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_2', 'p_10_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_3', 'p_9_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_3', 'p_10_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_4', 'p_9_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_4', 'p_10_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_5', 'p_9_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_5', 'p_10_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_6', 'p_9_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_6', 'p_10_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_7', 'p_9_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_7', 'p_10_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_8', 'p_9_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_8', 'p_10_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_9', 'p_9_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_9', 'p_10_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_10', 'p_9_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_10', 'p_10_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_11', 'p_9_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_11', 'p_10_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_12', 'p_9_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_12', 'p_10_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_13', 'p_9_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_13', 'p_10_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_14', 'p_9_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_14', 'p_10_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_15', 'p_9_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_15', 'p_10_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_16', 'p_9_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_16', 'p_10_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_17', 'p_9_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_17', 'p_10_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_18', 'p_9_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_18', 'p_10_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_19', 'p_9_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_19', 'p_10_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_20', 'p_9_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_20', 'p_10_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_21', 'p_9_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_21', 'p_10_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_22', 'p_9_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_22', 'p_10_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_23', 'p_9_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_23', 'p_10_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_24', 'p_9_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_24', 'p_10_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_25', 'p_9_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_25', 'p_10_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_26', 'p_9_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_26', 'p_10_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_9_27', 'p_10_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_0', 'p_10_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_0', 'p_11_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_1', 'p_10_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_1', 'p_11_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_2', 'p_10_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_2', 'p_11_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_3', 'p_10_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_3', 'p_11_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_4', 'p_10_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_4', 'p_11_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_5', 'p_10_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_5', 'p_11_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_6', 'p_10_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_6', 'p_11_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_7', 'p_10_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_7', 'p_11_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_8', 'p_10_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_8', 'p_11_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_9', 'p_10_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_9', 'p_11_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_10', 'p_10_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_10', 'p_11_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_11', 'p_10_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_11', 'p_11_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_12', 'p_10_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_12', 'p_11_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_13', 'p_10_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_13', 'p_11_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_14', 'p_10_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_14', 'p_11_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_15', 'p_10_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_15', 'p_11_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_16', 'p_10_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_16', 'p_11_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_17', 'p_10_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_17', 'p_11_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_18', 'p_10_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_18', 'p_11_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_19', 'p_10_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_19', 'p_11_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_20', 'p_10_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_20', 'p_11_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_21', 'p_10_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_21', 'p_11_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_22', 'p_10_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_22', 'p_11_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_23', 'p_10_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_23', 'p_11_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_24', 'p_10_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_24', 'p_11_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_25', 'p_10_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_25', 'p_11_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_26', 'p_10_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_26', 'p_11_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_10_27', 'p_11_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_0', 'p_11_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_0', 'p_12_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_1', 'p_11_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_1', 'p_12_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_2', 'p_11_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_2', 'p_12_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_3', 'p_11_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_3', 'p_12_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_4', 'p_11_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_4', 'p_12_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_5', 'p_11_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_5', 'p_12_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_6', 'p_11_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_6', 'p_12_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_7', 'p_11_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_7', 'p_12_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_8', 'p_11_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_8', 'p_12_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_9', 'p_11_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_9', 'p_12_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_10', 'p_11_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_10', 'p_12_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_11', 'p_11_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_11', 'p_12_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_12', 'p_11_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_12', 'p_12_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_13', 'p_11_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_13', 'p_12_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_14', 'p_11_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_14', 'p_12_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_15', 'p_11_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_15', 'p_12_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_16', 'p_11_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_16', 'p_12_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_17', 'p_11_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_17', 'p_12_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_18', 'p_11_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_18', 'p_12_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_19', 'p_11_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_19', 'p_12_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_20', 'p_11_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_20', 'p_12_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_21', 'p_11_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_21', 'p_12_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_22', 'p_11_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_22', 'p_12_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_23', 'p_11_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_23', 'p_12_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_24', 'p_11_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_24', 'p_12_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_25', 'p_11_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_25', 'p_12_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_26', 'p_11_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_26', 'p_12_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_11_27', 'p_12_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_0', 'p_12_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_0', 'p_13_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_1', 'p_12_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_1', 'p_13_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_2', 'p_12_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_2', 'p_13_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_3', 'p_12_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_3', 'p_13_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_4', 'p_12_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_4', 'p_13_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_5', 'p_12_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_5', 'p_13_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_6', 'p_12_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_6', 'p_13_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_7', 'p_12_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_7', 'p_13_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_8', 'p_12_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_8', 'p_13_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_9', 'p_12_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_9', 'p_13_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_10', 'p_12_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_10', 'p_13_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_11', 'p_12_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_11', 'p_13_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_12', 'p_12_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_12', 'p_13_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_13', 'p_12_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_13', 'p_13_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_14', 'p_12_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_14', 'p_13_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_15', 'p_12_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_15', 'p_13_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_16', 'p_12_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_16', 'p_13_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_17', 'p_12_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_17', 'p_13_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_18', 'p_12_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_18', 'p_13_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_19', 'p_12_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_19', 'p_13_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_20', 'p_12_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_20', 'p_13_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_21', 'p_12_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_21', 'p_13_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_22', 'p_12_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_22', 'p_13_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_23', 'p_12_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_23', 'p_13_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_24', 'p_12_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_24', 'p_13_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_25', 'p_12_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_25', 'p_13_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_26', 'p_12_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_26', 'p_13_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_12_27', 'p_13_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_0', 'p_13_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_0', 'p_14_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_1', 'p_13_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_1', 'p_14_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_2', 'p_13_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_2', 'p_14_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_3', 'p_13_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_3', 'p_14_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_4', 'p_13_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_4', 'p_14_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_5', 'p_13_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_5', 'p_14_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_6', 'p_13_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_6', 'p_14_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_7', 'p_13_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_7', 'p_14_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_8', 'p_13_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_8', 'p_14_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_9', 'p_13_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_9', 'p_14_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_10', 'p_13_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_10', 'p_14_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_11', 'p_13_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_11', 'p_14_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_12', 'p_13_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_12', 'p_14_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_13', 'p_13_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_13', 'p_14_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_14', 'p_13_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_14', 'p_14_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_15', 'p_13_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_15', 'p_14_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_16', 'p_13_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_16', 'p_14_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_17', 'p_13_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_17', 'p_14_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_18', 'p_13_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_18', 'p_14_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_19', 'p_13_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_19', 'p_14_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_20', 'p_13_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_20', 'p_14_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_21', 'p_13_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_21', 'p_14_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_22', 'p_13_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_22', 'p_14_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_23', 'p_13_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_23', 'p_14_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_24', 'p_13_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_24', 'p_14_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_25', 'p_13_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_25', 'p_14_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_26', 'p_13_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_26', 'p_14_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_13_27', 'p_14_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_0', 'p_14_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_0', 'p_15_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_1', 'p_14_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_1', 'p_15_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_2', 'p_14_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_2', 'p_15_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_3', 'p_14_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_3', 'p_15_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_4', 'p_14_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_4', 'p_15_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_5', 'p_14_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_5', 'p_15_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_6', 'p_14_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_6', 'p_15_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_7', 'p_14_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_7', 'p_15_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_8', 'p_14_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_8', 'p_15_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_9', 'p_14_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_9', 'p_15_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_10', 'p_14_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_10', 'p_15_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_11', 'p_14_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_11', 'p_15_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_12', 'p_14_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_12', 'p_15_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_13', 'p_14_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_13', 'p_15_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_14', 'p_14_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_14', 'p_15_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_15', 'p_14_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_15', 'p_15_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_16', 'p_14_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_16', 'p_15_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_17', 'p_14_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_17', 'p_15_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_18', 'p_14_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_18', 'p_15_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_19', 'p_14_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_19', 'p_15_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_20', 'p_14_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_20', 'p_15_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_21', 'p_14_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_21', 'p_15_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_22', 'p_14_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_22', 'p_15_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_23', 'p_14_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_23', 'p_15_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_24', 'p_14_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_24', 'p_15_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_25', 'p_14_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_25', 'p_15_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_26', 'p_14_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_26', 'p_15_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_14_27', 'p_15_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_0', 'p_15_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_0', 'p_16_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_1', 'p_15_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_1', 'p_16_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_2', 'p_15_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_2', 'p_16_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_3', 'p_15_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_3', 'p_16_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_4', 'p_15_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_4', 'p_16_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_5', 'p_15_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_5', 'p_16_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_6', 'p_15_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_6', 'p_16_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_7', 'p_15_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_7', 'p_16_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_8', 'p_15_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_8', 'p_16_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_9', 'p_15_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_9', 'p_16_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_10', 'p_15_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_10', 'p_16_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_11', 'p_15_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_11', 'p_16_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_12', 'p_15_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_12', 'p_16_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_13', 'p_15_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_13', 'p_16_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_14', 'p_15_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_14', 'p_16_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_15', 'p_15_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_15', 'p_16_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_16', 'p_15_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_16', 'p_16_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_17', 'p_15_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_17', 'p_16_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_18', 'p_15_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_18', 'p_16_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_19', 'p_15_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_19', 'p_16_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_20', 'p_15_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_20', 'p_16_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_21', 'p_15_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_21', 'p_16_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_22', 'p_15_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_22', 'p_16_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_23', 'p_15_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_23', 'p_16_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_24', 'p_15_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_24', 'p_16_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_25', 'p_15_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_25', 'p_16_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_26', 'p_15_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_26', 'p_16_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_15_27', 'p_16_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_0', 'p_16_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_0', 'p_17_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_1', 'p_16_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_1', 'p_17_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_2', 'p_16_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_2', 'p_17_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_3', 'p_16_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_3', 'p_17_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_4', 'p_16_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_4', 'p_17_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_5', 'p_16_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_5', 'p_17_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_6', 'p_16_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_6', 'p_17_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_7', 'p_16_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_7', 'p_17_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_8', 'p_16_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_8', 'p_17_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_9', 'p_16_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_9', 'p_17_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_10', 'p_16_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_10', 'p_17_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_11', 'p_16_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_11', 'p_17_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_12', 'p_16_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_12', 'p_17_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_13', 'p_16_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_13', 'p_17_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_14', 'p_16_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_14', 'p_17_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_15', 'p_16_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_15', 'p_17_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_16', 'p_16_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_16', 'p_17_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_17', 'p_16_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_17', 'p_17_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_18', 'p_16_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_18', 'p_17_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_19', 'p_16_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_19', 'p_17_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_20', 'p_16_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_20', 'p_17_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_21', 'p_16_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_21', 'p_17_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_22', 'p_16_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_22', 'p_17_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_23', 'p_16_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_23', 'p_17_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_24', 'p_16_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_24', 'p_17_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_25', 'p_16_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_25', 'p_17_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_26', 'p_16_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_26', 'p_17_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_16_27', 'p_17_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_0', 'p_17_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_0', 'p_18_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_1', 'p_17_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_1', 'p_18_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_2', 'p_17_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_2', 'p_18_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_3', 'p_17_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_3', 'p_18_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_4', 'p_17_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_4', 'p_18_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_5', 'p_17_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_5', 'p_18_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_6', 'p_17_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_6', 'p_18_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_7', 'p_17_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_7', 'p_18_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_8', 'p_17_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_8', 'p_18_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_9', 'p_17_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_9', 'p_18_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_10', 'p_17_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_10', 'p_18_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_11', 'p_17_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_11', 'p_18_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_12', 'p_17_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_12', 'p_18_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_13', 'p_17_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_13', 'p_18_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_14', 'p_17_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_14', 'p_18_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_15', 'p_17_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_15', 'p_18_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_16', 'p_17_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_16', 'p_18_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_17', 'p_17_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_17', 'p_18_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_18', 'p_17_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_18', 'p_18_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_19', 'p_17_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_19', 'p_18_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_20', 'p_17_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_20', 'p_18_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_21', 'p_17_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_21', 'p_18_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_22', 'p_17_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_22', 'p_18_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_23', 'p_17_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_23', 'p_18_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_24', 'p_17_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_24', 'p_18_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_25', 'p_17_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_25', 'p_18_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_26', 'p_17_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_26', 'p_18_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_17_27', 'p_18_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_0', 'p_18_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_0', 'p_19_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_1', 'p_18_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_1', 'p_19_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_2', 'p_18_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_2', 'p_19_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_3', 'p_18_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_3', 'p_19_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_4', 'p_18_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_4', 'p_19_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_5', 'p_18_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_5', 'p_19_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_6', 'p_18_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_6', 'p_19_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_7', 'p_18_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_7', 'p_19_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_8', 'p_18_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_8', 'p_19_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_9', 'p_18_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_9', 'p_19_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_10', 'p_18_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_10', 'p_19_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_11', 'p_18_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_11', 'p_19_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_12', 'p_18_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_12', 'p_19_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_13', 'p_18_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_13', 'p_19_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_14', 'p_18_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_14', 'p_19_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_15', 'p_18_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_15', 'p_19_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_16', 'p_18_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_16', 'p_19_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_17', 'p_18_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_17', 'p_19_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_18', 'p_18_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_18', 'p_19_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_19', 'p_18_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_19', 'p_19_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_20', 'p_18_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_20', 'p_19_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_21', 'p_18_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_21', 'p_19_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_22', 'p_18_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_22', 'p_19_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_23', 'p_18_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_23', 'p_19_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_24', 'p_18_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_24', 'p_19_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_25', 'p_18_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_25', 'p_19_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_26', 'p_18_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_26', 'p_19_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_18_27', 'p_19_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_0', 'p_19_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_0', 'p_20_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_1', 'p_19_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_1', 'p_20_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_2', 'p_19_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_2', 'p_20_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_3', 'p_19_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_3', 'p_20_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_4', 'p_19_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_4', 'p_20_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_5', 'p_19_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_5', 'p_20_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_6', 'p_19_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_6', 'p_20_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_7', 'p_19_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_7', 'p_20_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_8', 'p_19_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_8', 'p_20_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_9', 'p_19_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_9', 'p_20_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_10', 'p_19_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_10', 'p_20_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_11', 'p_19_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_11', 'p_20_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_12', 'p_19_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_12', 'p_20_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_13', 'p_19_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_13', 'p_20_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_14', 'p_19_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_14', 'p_20_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_15', 'p_19_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_15', 'p_20_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_16', 'p_19_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_16', 'p_20_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_17', 'p_19_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_17', 'p_20_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_18', 'p_19_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_18', 'p_20_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_19', 'p_19_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_19', 'p_20_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_20', 'p_19_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_20', 'p_20_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_21', 'p_19_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_21', 'p_20_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_22', 'p_19_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_22', 'p_20_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_23', 'p_19_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_23', 'p_20_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_24', 'p_19_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_24', 'p_20_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_25', 'p_19_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_25', 'p_20_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_26', 'p_19_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_26', 'p_20_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_19_27', 'p_20_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_0', 'p_20_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_0', 'p_21_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_1', 'p_20_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_1', 'p_21_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_2', 'p_20_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_2', 'p_21_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_3', 'p_20_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_3', 'p_21_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_4', 'p_20_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_4', 'p_21_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_5', 'p_20_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_5', 'p_21_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_6', 'p_20_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_6', 'p_21_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_7', 'p_20_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_7', 'p_21_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_8', 'p_20_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_8', 'p_21_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_9', 'p_20_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_9', 'p_21_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_10', 'p_20_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_10', 'p_21_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_11', 'p_20_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_11', 'p_21_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_12', 'p_20_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_12', 'p_21_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_13', 'p_20_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_13', 'p_21_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_14', 'p_20_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_14', 'p_21_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_15', 'p_20_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_15', 'p_21_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_16', 'p_20_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_16', 'p_21_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_17', 'p_20_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_17', 'p_21_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_18', 'p_20_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_18', 'p_21_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_19', 'p_20_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_19', 'p_21_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_20', 'p_20_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_20', 'p_21_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_21', 'p_20_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_21', 'p_21_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_22', 'p_20_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_22', 'p_21_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_23', 'p_20_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_23', 'p_21_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_24', 'p_20_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_24', 'p_21_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_25', 'p_20_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_25', 'p_21_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_26', 'p_20_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_26', 'p_21_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_20_27', 'p_21_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_0', 'p_21_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_0', 'p_22_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_1', 'p_21_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_1', 'p_22_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_2', 'p_21_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_2', 'p_22_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_3', 'p_21_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_3', 'p_22_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_4', 'p_21_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_4', 'p_22_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_5', 'p_21_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_5', 'p_22_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_6', 'p_21_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_6', 'p_22_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_7', 'p_21_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_7', 'p_22_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_8', 'p_21_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_8', 'p_22_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_9', 'p_21_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_9', 'p_22_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_10', 'p_21_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_10', 'p_22_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_11', 'p_21_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_11', 'p_22_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_12', 'p_21_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_12', 'p_22_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_13', 'p_21_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_13', 'p_22_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_14', 'p_21_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_14', 'p_22_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_15', 'p_21_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_15', 'p_22_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_16', 'p_21_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_16', 'p_22_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_17', 'p_21_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_17', 'p_22_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_18', 'p_21_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_18', 'p_22_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_19', 'p_21_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_19', 'p_22_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_20', 'p_21_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_20', 'p_22_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_21', 'p_21_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_21', 'p_22_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_22', 'p_21_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_22', 'p_22_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_23', 'p_21_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_23', 'p_22_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_24', 'p_21_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_24', 'p_22_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_25', 'p_21_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_25', 'p_22_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_26', 'p_21_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_26', 'p_22_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_21_27', 'p_22_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_0', 'p_22_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_0', 'p_23_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_1', 'p_22_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_1', 'p_23_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_2', 'p_22_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_2', 'p_23_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_3', 'p_22_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_3', 'p_23_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_4', 'p_22_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_4', 'p_23_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_5', 'p_22_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_5', 'p_23_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_6', 'p_22_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_6', 'p_23_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_7', 'p_22_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_7', 'p_23_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_8', 'p_22_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_8', 'p_23_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_9', 'p_22_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_9', 'p_23_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_10', 'p_22_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_10', 'p_23_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_11', 'p_22_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_11', 'p_23_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_12', 'p_22_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_12', 'p_23_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_13', 'p_22_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_13', 'p_23_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_14', 'p_22_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_14', 'p_23_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_15', 'p_22_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_15', 'p_23_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_16', 'p_22_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_16', 'p_23_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_17', 'p_22_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_17', 'p_23_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_18', 'p_22_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_18', 'p_23_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_19', 'p_22_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_19', 'p_23_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_20', 'p_22_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_20', 'p_23_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_21', 'p_22_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_21', 'p_23_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_22', 'p_22_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_22', 'p_23_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_23', 'p_22_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_23', 'p_23_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_24', 'p_22_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_24', 'p_23_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_25', 'p_22_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_25', 'p_23_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_26', 'p_22_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_26', 'p_23_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_22_27', 'p_23_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_0', 'p_23_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_0', 'p_24_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_1', 'p_23_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_1', 'p_24_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_2', 'p_23_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_2', 'p_24_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_3', 'p_23_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_3', 'p_24_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_4', 'p_23_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_4', 'p_24_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_5', 'p_23_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_5', 'p_24_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_6', 'p_23_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_6', 'p_24_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_7', 'p_23_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_7', 'p_24_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_8', 'p_23_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_8', 'p_24_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_9', 'p_23_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_9', 'p_24_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_10', 'p_23_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_10', 'p_24_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_11', 'p_23_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_11', 'p_24_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_12', 'p_23_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_12', 'p_24_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_13', 'p_23_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_13', 'p_24_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_14', 'p_23_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_14', 'p_24_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_15', 'p_23_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_15', 'p_24_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_16', 'p_23_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_16', 'p_24_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_17', 'p_23_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_17', 'p_24_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_18', 'p_23_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_18', 'p_24_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_19', 'p_23_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_19', 'p_24_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_20', 'p_23_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_20', 'p_24_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_21', 'p_23_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_21', 'p_24_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_22', 'p_23_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_22', 'p_24_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_23', 'p_23_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_23', 'p_24_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_24', 'p_23_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_24', 'p_24_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_25', 'p_23_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_25', 'p_24_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_26', 'p_23_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_26', 'p_24_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_23_27', 'p_24_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_0', 'p_24_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_0', 'p_25_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_1', 'p_24_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_1', 'p_25_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_2', 'p_24_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_2', 'p_25_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_3', 'p_24_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_3', 'p_25_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_4', 'p_24_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_4', 'p_25_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_5', 'p_24_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_5', 'p_25_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_6', 'p_24_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_6', 'p_25_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_7', 'p_24_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_7', 'p_25_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_8', 'p_24_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_8', 'p_25_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_9', 'p_24_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_9', 'p_25_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_10', 'p_24_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_10', 'p_25_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_11', 'p_24_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_11', 'p_25_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_12', 'p_24_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_12', 'p_25_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_13', 'p_24_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_13', 'p_25_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_14', 'p_24_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_14', 'p_25_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_15', 'p_24_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_15', 'p_25_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_16', 'p_24_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_16', 'p_25_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_17', 'p_24_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_17', 'p_25_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_18', 'p_24_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_18', 'p_25_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_19', 'p_24_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_19', 'p_25_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_20', 'p_24_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_20', 'p_25_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_21', 'p_24_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_21', 'p_25_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_22', 'p_24_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_22', 'p_25_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_23', 'p_24_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_23', 'p_25_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_24', 'p_24_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_24', 'p_25_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_25', 'p_24_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_25', 'p_25_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_26', 'p_24_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_26', 'p_25_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_24_27', 'p_25_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_0', 'p_25_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_0', 'p_26_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_1', 'p_25_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_1', 'p_26_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_2', 'p_25_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_2', 'p_26_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_3', 'p_25_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_3', 'p_26_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_4', 'p_25_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_4', 'p_26_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_5', 'p_25_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_5', 'p_26_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_6', 'p_25_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_6', 'p_26_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_7', 'p_25_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_7', 'p_26_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_8', 'p_25_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_8', 'p_26_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_9', 'p_25_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_9', 'p_26_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_10', 'p_25_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_10', 'p_26_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_11', 'p_25_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_11', 'p_26_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_12', 'p_25_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_12', 'p_26_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_13', 'p_25_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_13', 'p_26_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_14', 'p_25_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_14', 'p_26_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_15', 'p_25_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_15', 'p_26_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_16', 'p_25_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_16', 'p_26_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_17', 'p_25_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_17', 'p_26_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_18', 'p_25_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_18', 'p_26_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_19', 'p_25_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_19', 'p_26_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_20', 'p_25_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_20', 'p_26_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_21', 'p_25_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_21', 'p_26_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_22', 'p_25_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_22', 'p_26_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_23', 'p_25_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_23', 'p_26_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_24', 'p_25_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_24', 'p_26_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_25', 'p_25_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_25', 'p_26_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_26', 'p_25_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_26', 'p_26_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_25_27', 'p_26_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_0', 'p_26_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_0', 'p_27_0', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_1', 'p_26_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_1', 'p_27_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_2', 'p_26_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_2', 'p_27_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_3', 'p_26_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_3', 'p_27_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_4', 'p_26_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_4', 'p_27_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_5', 'p_26_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_5', 'p_27_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_6', 'p_26_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_6', 'p_27_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_7', 'p_26_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_7', 'p_27_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_8', 'p_26_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_8', 'p_27_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_9', 'p_26_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_9', 'p_27_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_10', 'p_26_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_10', 'p_27_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_11', 'p_26_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_11', 'p_27_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_12', 'p_26_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_12', 'p_27_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_13', 'p_26_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_13', 'p_27_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_14', 'p_26_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_14', 'p_27_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_15', 'p_26_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_15', 'p_27_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_16', 'p_26_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_16', 'p_27_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_17', 'p_26_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_17', 'p_27_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_18', 'p_26_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_18', 'p_27_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_19', 'p_26_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_19', 'p_27_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_20', 'p_26_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_20', 'p_27_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_21', 'p_26_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_21', 'p_27_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_22', 'p_26_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_22', 'p_27_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_23', 'p_26_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_23', 'p_27_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_24', 'p_26_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_24', 'p_27_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_25', 'p_26_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_25', 'p_27_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_26', 'p_26_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_26', 'p_27_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_26_27', 'p_27_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_0', 'p_27_1', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_1', 'p_27_2', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_2', 'p_27_3', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_3', 'p_27_4', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_4', 'p_27_5', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_5', 'p_27_6', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_6', 'p_27_7', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_7', 'p_27_8', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_8', 'p_27_9', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_9', 'p_27_10', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_10', 'p_27_11', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_11', 'p_27_12', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_12', 'p_27_13', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_13', 'p_27_14', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_14', 'p_27_15', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_15', 'p_27_16', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_16', 'p_27_17', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_17', 'p_27_18', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_18', 'p_27_19', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_19', 'p_27_20', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_20', 'p_27_21', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_21', 'p_27_22', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_22', 'p_27_23', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_23', 'p_27_24', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_24', 'p_27_25', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_25', 'p_27_26', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "Marginal= ('p_27_26', 'p_27_27', 'Label') . Sigma=0.0236. Top.Level=1. Max.Size=None\n",
+      "\tTotal size=266112\n",
+      "Statistics size = 266112\n",
+      "Statistics size = 266112\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-09-27 10:44:21.749040: E external/org_tensorflow/tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:429] Could not create cudnn handle: CUDNN_STATUS_NOT_INITIALIZED\n",
+      "2023-09-27 10:44:21.749085: E external/org_tensorflow/tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:438] Possibly insufficient driver version: 530.30.2\n",
+      "2023-09-27 10:44:21.749652: E external/org_tensorflow/tensorflow/compiler/xla/status_macros.cc:54] INTERNAL: RET_CHECK failure (external/org_tensorflow/tensorflow/compiler/xla/service/gpu/gpu_compiler.cc:641) dnn != nullptr \n",
+      "*** Begin stack trace ***\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t_PyObject_MakeTpCall\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\tPyObject_Call\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t\n",
+      "\tPyObject_Call\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\tPyObject_Call\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\tPyEval_EvalCode\n",
+      "\t\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\tPyObject_Call\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t_PyFunction_Vectorcall\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\t_PyEval_EvalFrameDefault\n",
+      "\t\n",
+      "\tPyEval_EvalCode\n",
+      "\t\n",
+      "*** End stack trace ***\n",
+      "\n"
+     ]
+    },
+    {
+     "ename": "XlaRuntimeError",
+     "evalue": "INTERNAL: RET_CHECK failure (external/org_tensorflow/tensorflow/compiler/xla/service/gpu/gpu_compiler.cc:641) dnn != nullptr ",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mXlaRuntimeError\u001B[0m                           Traceback (most recent call last)",
+      "Cell \u001B[0;32mIn[19], line 9\u001B[0m\n\u001B[1;32m      6\u001B[0m \u001B[38;5;66;03m# N_prime = len(adult_df_train)\u001B[39;00m\n\u001B[1;32m      8\u001B[0m synth \u001B[38;5;241m=\u001B[39m GSDSynthesizer(epsilon\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1.0\u001B[39m \u001B[38;5;241m/\u001B[39m subsample_frac, delta\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1e-5\u001B[39m, tree_height\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m6\u001B[39m, verbose\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n\u001B[0;32m----> 9\u001B[0m \u001B[43msynth\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfit\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata_subsample_df\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m     10\u001B[0m \u001B[43m          \u001B[49m\u001B[43mtransformer\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mtransformer\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m     11\u001B[0m \u001B[43m          \u001B[49m\u001B[43mmarginals\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mmarginals\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m     12\u001B[0m \u001B[43m          \u001B[49m\u001B[43mearly_stop_threshold\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m0.0001\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[1;32m     13\u001B[0m \u001B[43m          \u001B[49m\u001B[43mN_prime\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43msubsample_size\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/Code/smartnoise-sdk-gsd/synth/snsynth/gsd/gsd.py:70\u001B[0m, in \u001B[0;36mGSDSynthesizer.fit\u001B[0;34m(self, data, meta_data, transformer, categorical_columns, ordinal_columns, continuous_columns, preprocessor_eps, nullable, N_prime, early_stop_threshold, conditional_columns, genetic_operators, marginals, seed, *ignore)\u001B[0m\n\u001B[1;32m     67\u001B[0m     \u001B[38;5;28mprint\u001B[39m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mStatistics size = \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mlen\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtrue_stats)\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m'\u001B[39m)\n\u001B[1;32m     69\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m seed \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m: seed \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39mrandom\u001B[38;5;241m.\u001B[39mrandint(\u001B[38;5;241m0\u001B[39m, \u001B[38;5;241m1e9\u001B[39m)\n\u001B[0;32m---> 70\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mkey \u001B[38;5;241m=\u001B[39m \u001B[43mjax\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mrandom\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mPRNGKey\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseed\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m     72\u001B[0m \u001B[38;5;66;03m# Define genetic strategy and parameters\u001B[39;00m\n\u001B[1;32m     73\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(genetic_operators) \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m0\u001B[39m:\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/random.py:136\u001B[0m, in \u001B[0;36mPRNGKey\u001B[0;34m(seed)\u001B[0m\n\u001B[1;32m    133\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m np\u001B[38;5;241m.\u001B[39mndim(seed):\n\u001B[1;32m    134\u001B[0m   \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mTypeError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mPRNGKey accepts a scalar seed, but was given an array of\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m    135\u001B[0m                   \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mshape \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mnp\u001B[38;5;241m.\u001B[39mshape(seed)\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m != (). Use jax.vmap for batching\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m--> 136\u001B[0m key \u001B[38;5;241m=\u001B[39m \u001B[43mprng\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mseed_with_impl\u001B[49m\u001B[43m(\u001B[49m\u001B[43mimpl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mseed\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m _return_prng_keys(\u001B[38;5;28;01mTrue\u001B[39;00m, key)\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/prng.py:269\u001B[0m, in \u001B[0;36mseed_with_impl\u001B[0;34m(impl, seed)\u001B[0m\n\u001B[1;32m    268\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mseed_with_impl\u001B[39m(impl: PRNGImpl, seed: \u001B[38;5;28mint\u001B[39m) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m PRNGKeyArray:\n\u001B[0;32m--> 269\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrandom_seed\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseed\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mimpl\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mimpl\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/prng.py:581\u001B[0m, in \u001B[0;36mrandom_seed\u001B[0;34m(seeds, impl)\u001B[0m\n\u001B[1;32m    579\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m    580\u001B[0m   seeds_arr \u001B[38;5;241m=\u001B[39m jnp\u001B[38;5;241m.\u001B[39masarray(seeds)\n\u001B[0;32m--> 581\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrandom_seed_p\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mbind\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseeds_arr\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mimpl\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mimpl\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/core.py:360\u001B[0m, in \u001B[0;36mPrimitive.bind\u001B[0;34m(self, *args, **params)\u001B[0m\n\u001B[1;32m    357\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mbind\u001B[39m(\u001B[38;5;28mself\u001B[39m, \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mparams):\n\u001B[1;32m    358\u001B[0m   \u001B[38;5;28;01massert\u001B[39;00m (\u001B[38;5;129;01mnot\u001B[39;00m config\u001B[38;5;241m.\u001B[39mjax_enable_checks \u001B[38;5;129;01mor\u001B[39;00m\n\u001B[1;32m    359\u001B[0m           \u001B[38;5;28mall\u001B[39m(\u001B[38;5;28misinstance\u001B[39m(arg, Tracer) \u001B[38;5;129;01mor\u001B[39;00m valid_jaxtype(arg) \u001B[38;5;28;01mfor\u001B[39;00m arg \u001B[38;5;129;01min\u001B[39;00m args)), args\n\u001B[0;32m--> 360\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mbind_with_trace\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfind_top_trace\u001B[49m\u001B[43m(\u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/core.py:363\u001B[0m, in \u001B[0;36mPrimitive.bind_with_trace\u001B[0;34m(self, trace, args, params)\u001B[0m\n\u001B[1;32m    362\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mbind_with_trace\u001B[39m(\u001B[38;5;28mself\u001B[39m, trace, args, params):\n\u001B[0;32m--> 363\u001B[0m   out \u001B[38;5;241m=\u001B[39m \u001B[43mtrace\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mprocess_primitive\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mmap\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mtrace\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfull_raise\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    364\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mmap\u001B[39m(full_lower, out) \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmultiple_results \u001B[38;5;28;01melse\u001B[39;00m full_lower(out)\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/core.py:807\u001B[0m, in \u001B[0;36mEvalTrace.process_primitive\u001B[0;34m(self, primitive, tracers, params)\u001B[0m\n\u001B[1;32m    806\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mprocess_primitive\u001B[39m(\u001B[38;5;28mself\u001B[39m, primitive, tracers, params):\n\u001B[0;32m--> 807\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mprimitive\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mimpl\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mtracers\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/prng.py:593\u001B[0m, in \u001B[0;36mrandom_seed_impl\u001B[0;34m(seeds, impl)\u001B[0m\n\u001B[1;32m    591\u001B[0m \u001B[38;5;129m@random_seed_p\u001B[39m\u001B[38;5;241m.\u001B[39mdef_impl\n\u001B[1;32m    592\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mrandom_seed_impl\u001B[39m(seeds, \u001B[38;5;241m*\u001B[39m, impl):\n\u001B[0;32m--> 593\u001B[0m   base_arr \u001B[38;5;241m=\u001B[39m \u001B[43mrandom_seed_impl_base\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseeds\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mimpl\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mimpl\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    594\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m PRNGKeyArray(impl, base_arr)\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/prng.py:598\u001B[0m, in \u001B[0;36mrandom_seed_impl_base\u001B[0;34m(seeds, impl)\u001B[0m\n\u001B[1;32m    596\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mrandom_seed_impl_base\u001B[39m(seeds, \u001B[38;5;241m*\u001B[39m, impl):\n\u001B[1;32m    597\u001B[0m   seed \u001B[38;5;241m=\u001B[39m iterated_vmap_unary(seeds\u001B[38;5;241m.\u001B[39mndim, impl\u001B[38;5;241m.\u001B[39mseed)\n\u001B[0;32m--> 598\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mseed\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseeds\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/prng.py:833\u001B[0m, in \u001B[0;36mthreefry_seed\u001B[0;34m(seed)\u001B[0m\n\u001B[1;32m    830\u001B[0m   \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mTypeError\u001B[39;00m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mPRNG key seed must be an integer; got \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mseed\u001B[38;5;132;01m!r}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m    831\u001B[0m convert \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mlambda\u001B[39;00m k: lax\u001B[38;5;241m.\u001B[39mreshape(lax\u001B[38;5;241m.\u001B[39mconvert_element_type(k, np\u001B[38;5;241m.\u001B[39muint32), [\u001B[38;5;241m1\u001B[39m])\n\u001B[1;32m    832\u001B[0m k1 \u001B[38;5;241m=\u001B[39m convert(\n\u001B[0;32m--> 833\u001B[0m     \u001B[43mlax\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mshift_right_logical\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseed\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mlax_internal\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_const\u001B[49m\u001B[43m(\u001B[49m\u001B[43mseed\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m32\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m)\n\u001B[1;32m    834\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m jax\u001B[38;5;241m.\u001B[39mnumpy_dtype_promotion(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mstandard\u001B[39m\u001B[38;5;124m'\u001B[39m):\n\u001B[1;32m    835\u001B[0m   \u001B[38;5;66;03m# TODO(jakevdp): in X64 mode, this can generate 64-bit computations for 32-bit\u001B[39;00m\n\u001B[1;32m    836\u001B[0m   \u001B[38;5;66;03m# inputs. We should avoid this.\u001B[39;00m\n\u001B[1;32m    837\u001B[0m   k2 \u001B[38;5;241m=\u001B[39m convert(jnp\u001B[38;5;241m.\u001B[39mbitwise_and(seed, np\u001B[38;5;241m.\u001B[39muint32(\u001B[38;5;241m0xFFFFFFFF\u001B[39m)))\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/lax/lax.py:513\u001B[0m, in \u001B[0;36mshift_right_logical\u001B[0;34m(x, y)\u001B[0m\n\u001B[1;32m    511\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mshift_right_logical\u001B[39m(x: ArrayLike, y: ArrayLike) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m Array:\n\u001B[1;32m    512\u001B[0m \u001B[38;5;250m  \u001B[39m\u001B[38;5;124mr\u001B[39m\u001B[38;5;124;03m\"\"\"Elementwise logical right shift: :math:`x \\gg y`.\"\"\"\u001B[39;00m\n\u001B[0;32m--> 513\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mshift_right_logical_p\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mbind\u001B[49m\u001B[43m(\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/core.py:360\u001B[0m, in \u001B[0;36mPrimitive.bind\u001B[0;34m(self, *args, **params)\u001B[0m\n\u001B[1;32m    357\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mbind\u001B[39m(\u001B[38;5;28mself\u001B[39m, \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mparams):\n\u001B[1;32m    358\u001B[0m   \u001B[38;5;28;01massert\u001B[39;00m (\u001B[38;5;129;01mnot\u001B[39;00m config\u001B[38;5;241m.\u001B[39mjax_enable_checks \u001B[38;5;129;01mor\u001B[39;00m\n\u001B[1;32m    359\u001B[0m           \u001B[38;5;28mall\u001B[39m(\u001B[38;5;28misinstance\u001B[39m(arg, Tracer) \u001B[38;5;129;01mor\u001B[39;00m valid_jaxtype(arg) \u001B[38;5;28;01mfor\u001B[39;00m arg \u001B[38;5;129;01min\u001B[39;00m args)), args\n\u001B[0;32m--> 360\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mbind_with_trace\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfind_top_trace\u001B[49m\u001B[43m(\u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/core.py:363\u001B[0m, in \u001B[0;36mPrimitive.bind_with_trace\u001B[0;34m(self, trace, args, params)\u001B[0m\n\u001B[1;32m    362\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mbind_with_trace\u001B[39m(\u001B[38;5;28mself\u001B[39m, trace, args, params):\n\u001B[0;32m--> 363\u001B[0m   out \u001B[38;5;241m=\u001B[39m \u001B[43mtrace\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mprocess_primitive\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mmap\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mtrace\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfull_raise\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    364\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mmap\u001B[39m(full_lower, out) \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmultiple_results \u001B[38;5;28;01melse\u001B[39;00m full_lower(out)\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/core.py:807\u001B[0m, in \u001B[0;36mEvalTrace.process_primitive\u001B[0;34m(self, primitive, tracers, params)\u001B[0m\n\u001B[1;32m    806\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mprocess_primitive\u001B[39m(\u001B[38;5;28mself\u001B[39m, primitive, tracers, params):\n\u001B[0;32m--> 807\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mprimitive\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mimpl\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mtracers\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/dispatch.py:122\u001B[0m, in \u001B[0;36mapply_primitive\u001B[0;34m(prim, *args, **params)\u001B[0m\n\u001B[1;32m    120\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mapply_primitive\u001B[39m(prim, \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mparams):\n\u001B[1;32m    121\u001B[0m \u001B[38;5;250m  \u001B[39m\u001B[38;5;124;03m\"\"\"Impl rule that compiles and runs a single primitive 'prim' using XLA.\"\"\"\u001B[39;00m\n\u001B[0;32m--> 122\u001B[0m   compiled_fun \u001B[38;5;241m=\u001B[39m \u001B[43mxla_primitive_callable\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprim\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43munsafe_map\u001B[49m\u001B[43m(\u001B[49m\u001B[43marg_spec\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43margs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m    123\u001B[0m \u001B[43m                                        \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mparams\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    124\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m compiled_fun(\u001B[38;5;241m*\u001B[39margs)\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/util.py:254\u001B[0m, in \u001B[0;36mcache.<locals>.wrap.<locals>.wrapper\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m    252\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m f(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[1;32m    253\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m--> 254\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mcached\u001B[49m\u001B[43m(\u001B[49m\u001B[43mconfig\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_trace_context\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/util.py:247\u001B[0m, in \u001B[0;36mcache.<locals>.wrap.<locals>.cached\u001B[0;34m(_, *args, **kwargs)\u001B[0m\n\u001B[1;32m    245\u001B[0m \u001B[38;5;129m@functools\u001B[39m\u001B[38;5;241m.\u001B[39mlru_cache(max_size)\n\u001B[1;32m    246\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mcached\u001B[39m(_, \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[0;32m--> 247\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mf\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/dispatch.py:201\u001B[0m, in \u001B[0;36mxla_primitive_callable\u001B[0;34m(prim, *arg_specs, **params)\u001B[0m\n\u001B[1;32m    199\u001B[0m   \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m    200\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m out,\n\u001B[0;32m--> 201\u001B[0m compiled \u001B[38;5;241m=\u001B[39m \u001B[43m_xla_callable_uncached\u001B[49m\u001B[43m(\u001B[49m\u001B[43mlu\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mwrap_init\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprim_fun\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdevice\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mNone\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[1;32m    202\u001B[0m \u001B[43m                                  \u001B[49m\u001B[43mprim\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdonated_invars\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43marg_specs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    203\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m prim\u001B[38;5;241m.\u001B[39mmultiple_results:\n\u001B[1;32m    204\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;01mlambda\u001B[39;00m \u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkw: compiled(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkw)[\u001B[38;5;241m0\u001B[39m]\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/dispatch.py:357\u001B[0m, in \u001B[0;36m_xla_callable_uncached\u001B[0;34m(fun, device, backend, name, donated_invars, keep_unused, *arg_specs)\u001B[0m\n\u001B[1;32m    353\u001B[0m   computation \u001B[38;5;241m=\u001B[39m sharded_lowering(fun, device, backend, name, donated_invars,\n\u001B[1;32m    354\u001B[0m                                  \u001B[38;5;28;01mFalse\u001B[39;00m, keep_unused, \u001B[38;5;241m*\u001B[39marg_specs,\n\u001B[1;32m    355\u001B[0m                                  lowering_platform\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m)\n\u001B[1;32m    356\u001B[0m   allow_prop \u001B[38;5;241m=\u001B[39m [\u001B[38;5;28;01mTrue\u001B[39;00m] \u001B[38;5;241m*\u001B[39m \u001B[38;5;28mlen\u001B[39m(computation\u001B[38;5;241m.\u001B[39mcompile_args[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mglobal_out_avals\u001B[39m\u001B[38;5;124m'\u001B[39m])\n\u001B[0;32m--> 357\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mcomputation\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcompile\u001B[49m\u001B[43m(\u001B[49m\u001B[43m_allow_propagation_to_outputs\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mallow_prop\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241m.\u001B[39munsafe_call\n\u001B[1;32m    358\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m    359\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m lower_xla_callable(fun, device, backend, name, donated_invars, \u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[1;32m    360\u001B[0m                             keep_unused, \u001B[38;5;241m*\u001B[39marg_specs,\n\u001B[1;32m    361\u001B[0m                             lowering_platform\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m)\u001B[38;5;241m.\u001B[39mcompile()\u001B[38;5;241m.\u001B[39munsafe_call\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/interpreters/pxla.py:3373\u001B[0m, in \u001B[0;36mMeshComputation.compile\u001B[0;34m(self, _allow_propagation_to_outputs, _allow_compile_replicated)\u001B[0m\n\u001B[1;32m   3369\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mcompile\u001B[39m(\u001B[38;5;28mself\u001B[39m,\n\u001B[1;32m   3370\u001B[0m             _allow_propagation_to_outputs: Optional[Sequence[\u001B[38;5;28mbool\u001B[39m]] \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m,\n\u001B[1;32m   3371\u001B[0m             _allow_compile_replicated: \u001B[38;5;28mbool\u001B[39m \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m MeshExecutable:\n\u001B[1;32m   3372\u001B[0m   \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_executable \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m-> 3373\u001B[0m     executable \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_compile_unloaded\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m   3374\u001B[0m \u001B[43m        \u001B[49m\u001B[43m_allow_propagation_to_outputs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m_allow_compile_replicated\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m   3375\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(executable, UnloadedMeshExecutable):\n\u001B[1;32m   3376\u001B[0m       executable \u001B[38;5;241m=\u001B[39m executable\u001B[38;5;241m.\u001B[39mload()\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/interpreters/pxla.py:3344\u001B[0m, in \u001B[0;36mMeshComputation._compile_unloaded\u001B[0;34m(self, _allow_propagation_to_outputs, _allow_compile_replicated)\u001B[0m\n\u001B[1;32m   3342\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m MeshExecutable\u001B[38;5;241m.\u001B[39mfrom_trivial_jaxpr(\u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mcompile_args)\n\u001B[1;32m   3343\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m-> 3344\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mUnloadedMeshExecutable\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfrom_hlo\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m   3345\u001B[0m \u001B[43m      \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_name\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m   3346\u001B[0m \u001B[43m      \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_hlo\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m   3347\u001B[0m \u001B[43m      \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcompile_args\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m   3348\u001B[0m \u001B[43m      \u001B[49m\u001B[43m_allow_propagation_to_outputs\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43m_allow_propagation_to_outputs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m   3349\u001B[0m \u001B[43m      \u001B[49m\u001B[43m_allow_compile_replicated\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43m_allow_compile_replicated\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/interpreters/pxla.py:3626\u001B[0m, in \u001B[0;36mUnloadedMeshExecutable.from_hlo\u001B[0;34m(name, computation, mesh, global_in_avals, global_out_avals, in_shardings, out_shardings, spmd_lowering, tuple_args, in_is_global, auto_spmd_lowering, _allow_propagation_to_outputs, _allow_compile_replicated, unordered_effects, ordered_effects, host_callbacks, keepalive, kept_var_idx, backend, device_assignment, committed, pmap_nreps)\u001B[0m\n\u001B[1;32m   3622\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m   3623\u001B[0m   \u001B[38;5;28;01mwith\u001B[39;00m dispatch\u001B[38;5;241m.\u001B[39mlog_elapsed_time(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mFinished XLA compilation of \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mname\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m   3624\u001B[0m                                  \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124min \u001B[39m\u001B[38;5;132;01m{elapsed_time}\u001B[39;00m\u001B[38;5;124m sec\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[1;32m   3625\u001B[0m                                  event\u001B[38;5;241m=\u001B[39mdispatch\u001B[38;5;241m.\u001B[39mBACKEND_COMPILE_EVENT):\n\u001B[0;32m-> 3626\u001B[0m     xla_executable \u001B[38;5;241m=\u001B[39m \u001B[43mdispatch\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcompile_or_get_cached\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m   3627\u001B[0m \u001B[43m        \u001B[49m\u001B[43mbackend\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcomputation\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcompile_options\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mhost_callbacks\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m   3629\u001B[0m   \u001B[38;5;28;01mif\u001B[39;00m auto_spmd_lowering:\n\u001B[1;32m   3630\u001B[0m     \u001B[38;5;28;01massert\u001B[39;00m mesh \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/dispatch.py:1091\u001B[0m, in \u001B[0;36mcompile_or_get_cached\u001B[0;34m(backend, computation, compile_options, host_callbacks)\u001B[0m\n\u001B[1;32m   1087\u001B[0m     _cache_write(serialized_computation, compile_time, module_name,\n\u001B[1;32m   1088\u001B[0m                  compile_options, backend, compiled, host_callbacks)\n\u001B[1;32m   1089\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m compiled\n\u001B[0;32m-> 1091\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mbackend_compile\u001B[49m\u001B[43m(\u001B[49m\u001B[43mbackend\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mserialized_computation\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcompile_options\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m   1092\u001B[0m \u001B[43m                       \u001B[49m\u001B[43mhost_callbacks\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/profiler.py:314\u001B[0m, in \u001B[0;36mannotate_function.<locals>.wrapper\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m    311\u001B[0m \u001B[38;5;129m@wraps\u001B[39m(func)\n\u001B[1;32m    312\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mwrapper\u001B[39m(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[1;32m    313\u001B[0m   \u001B[38;5;28;01mwith\u001B[39;00m TraceAnnotation(name, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mdecorator_kwargs):\n\u001B[0;32m--> 314\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mfunc\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    315\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m wrapper\n",
+      "File \u001B[0;32m~/anaconda3/envs/smartnoise-sdk-gsd/lib/python3.10/site-packages/jax/_src/dispatch.py:1036\u001B[0m, in \u001B[0;36mbackend_compile\u001B[0;34m(backend, built_c, options, host_callbacks)\u001B[0m\n\u001B[1;32m   1031\u001B[0m   \u001B[38;5;28;01mreturn\u001B[39;00m backend\u001B[38;5;241m.\u001B[39mcompile(built_c, compile_options\u001B[38;5;241m=\u001B[39moptions,\n\u001B[1;32m   1032\u001B[0m                          host_callbacks\u001B[38;5;241m=\u001B[39mhost_callbacks)\n\u001B[1;32m   1033\u001B[0m \u001B[38;5;66;03m# Some backends don't have `host_callbacks` option yet\u001B[39;00m\n\u001B[1;32m   1034\u001B[0m \u001B[38;5;66;03m# TODO(sharadmv): remove this fallback when all backends allow `compile`\u001B[39;00m\n\u001B[1;32m   1035\u001B[0m \u001B[38;5;66;03m# to take in `host_callbacks`\u001B[39;00m\n\u001B[0;32m-> 1036\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mbackend\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcompile\u001B[49m\u001B[43m(\u001B[49m\u001B[43mbuilt_c\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcompile_options\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43moptions\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[0;31mXlaRuntimeError\u001B[0m: INTERNAL: RET_CHECK failure (external/org_tensorflow/tensorflow/compiler/xla/service/gpu/gpu_compiler.cc:641) dnn != nullptr "
+     ]
+    }
+   ],
+   "source": [
+    "epsilon = 1\n",
+    "subsample_size = 100\n",
+    "subsample_frac =  subsample_size / len(data_df)\n",
+    "data_subsample_df = data_df.sample(n=subsample_size)\n",
+    "\n",
+    "# N_prime = len(adult_df_train)\n",
+    "\n",
+    "synth = GSDSynthesizer(epsilon=1.0 / subsample_frac, delta=1e-5, tree_height=6, verbose=True)\n",
+    "synth.fit(data_subsample_df,\n",
+    "          transformer=transformer,\n",
+    "          marginals=marginals,\n",
+    "          early_stop_threshold=0.0001,\n",
+    "          N_prime=subsample_size)\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = RidgeClassifier\n",
+    "synth_df = pd.DataFrame(synthetic, \n",
+    "    columns=real.columns)\n",
+    "\n",
+    "X = real.iloc[:, :-1]\n",
+    "y = real.iloc[:, -1]\n",
+    "X_synth = synth_df.iloc[:, :-1]\n",
+    "y_synth = synth_df.iloc[:, -1]\n",
+    "\n",
+    "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "x_train_synth, x_test_synth, y_train_synth, y_test_synth = train_test_split(X_synth, y_synth, test_size=0.2, random_state=42)\n",
+    "\n",
+    "print(y_train)\n",
+    "print(y_train_synth)\n",
+    "\n",
+    "model_real = model()\n",
+    "model_real.fit(x_train, y_train)\n",
+    "\n",
+    "print(y_train_synth.max())\n",
+    "print(y_train_synth.min())\n",
+    "\n",
+    "# model_fake = model()\n",
+    "# model_fake.fit(x_train_synth, y_train_synth)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "\n",
+    "import utils\n",
+    "\n",
+    "real = pd.DataFrame(data_np[:sample_size])\n",
+    "\n",
+    "model_real, model_fake = utils.test_real_vs_synthetic_data(real, synthetic, RidgeClassifier, tsne=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Classification \n",
+    "coef = model_real.coef_.copy()\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "scale = np.abs(coef).max()\n",
+    "for i in range(10):\n",
+    "    l1_plot = plt.subplot(2, 5, i + 1)\n",
+    "    l1_plot.imshow(coef[i].reshape(28, 28), interpolation='nearest',\n",
+    "                   cmap=plt.cm.RdBu, vmin=-scale, vmax=scale)\n",
+    "    l1_plot.set_xticks(())\n",
+    "    l1_plot.set_yticks(())\n",
+    "    l1_plot.set_xlabel('Class %i' % i)\n",
+    "plt.suptitle('Classification vector for...')\n",
+    "\n",
+    "run_time = time.time() - t0\n",
+    "print('Example run in %.3f s' % run_time)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "coef = model_fake.coef_.copy()\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "scale = np.abs(coef).max()\n",
+    "for i in range(10):\n",
+    "    l1_plot = plt.subplot(2, 5, i + 1)\n",
+    "    l1_plot.imshow(coef[i].reshape(28, 28), interpolation='nearest',\n",
+    "                   cmap=plt.cm.RdBu, vmin=-scale, vmax=scale)\n",
+    "    l1_plot.set_xticks(())\n",
+    "    l1_plot.set_yticks(())\n",
+    "    l1_plot.set_xlabel('Class %i' % i)\n",
+    "plt.suptitle('Classification vector for...')\n",
+    "\n",
+    "run_time = time.time() - t0\n",
+    "print('Example run in %.3f s' % run_time)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/synth/samples/gsd_sample/MNIST GSD 2 (Image Data).ipynb b/synth/samples/gsd_sample/MNIST GSD 2 (Image Data).ipynb
new file mode 100644
index 00000000..969428c2
--- /dev/null
+++ b/synth/samples/gsd_sample/MNIST GSD 2 (Image Data).ipynb	
@@ -0,0 +1,1280 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Faces classification (drawn from sklearn example)\n",
+    "=====================================================\n",
+    "MWEM is not particularly well suited for image data (where there are tons of features with relatively large ranges) but it is still able to capture some important information about the underlying distributions if tuned correctly.\n",
+    "\n",
+    "We use a feature included with MWEM that allows a column to be specified for a custom bin count, if we are capping every other bin count at a small value. In this case, we specify that the numerical column (784) has 10 possible values. We do this with the dict {'784': 10}.\n",
+    "\n",
+    "Here we borrow from a scikit-learn example, and insert MWEM synthetic data into their training example/visualization, to understand the tradeoffs.\n",
+    "\n",
+    "https://scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html#sphx-glr-download-auto-examples-linear-model-plot-sparse-logistic-regression-mnist-py\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "import time\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from sklearn.datasets import fetch_openml\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.utils import check_random_state\n",
+    "from snsynth.gsd import GSDSynthesizer\n",
+    "\n",
+    "# pip install scikit-image\n",
+    "# from skimage import data, color\n",
+    "# from skimage.transform import rescale\n",
+    "\n",
+    "# Author: Arthur Mensch <arthur.mensch@m4x.org>\n",
+    "# License: BSD 3 clause\n",
+    "\n",
+    "from time import time\n",
+    "\n",
+    "from scipy.stats import loguniform\n",
+    "from sklearn.datasets import fetch_lfw_people\n",
+    "from sklearn.decomposition import PCA\n",
+    "from sklearn.metrics import ConfusionMatrixDisplay, classification_report\n",
+    "from sklearn.model_selection import RandomizedSearchCV, train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.svm import SVC"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total dataset size:\n",
+      "n_samples: 1288\n",
+      "n_features: 1850\n",
+      "n_classes: 7\n"
+     ]
+    }
+   ],
+   "source": [
+    "lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4)\n",
+    "\n",
+    "# introspect the images arrays to find the shapes (for plotting)\n",
+    "n_samples, h, w = lfw_people.images.shape\n",
+    "\n",
+    "# for machine learning we use the 2 data directly (as relative pixel\n",
+    "# positions info is ignored by this model)\n",
+    "X = lfw_people.data\n",
+    "n_features = X.shape[1]\n",
+    "\n",
+    "# the label to predict is the id of the person\n",
+    "y = lfw_people.target\n",
+    "target_names = lfw_people.target_names\n",
+    "n_classes = target_names.shape[0]\n",
+    "\n",
+    "print(\"Total dataset size:\")\n",
+    "print(\"n_samples: %d\" % n_samples)\n",
+    "print(\"n_features: %d\" % n_features)\n",
+    "print(\"n_classes: %d\" % n_classes)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "X_train, X_test, y_train, y_test = train_test_split(\n",
+    "    X, y, test_size=0.25, random_state=42\n",
+    ")\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "X_train = scaler.fit_transform(X_train)\n",
+    "X_test = scaler.transform(X_test)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting the top 250 eigenfaces from 966 faces\n",
+      "done in 0.495s\n",
+      "Projecting the input data on the eigenfaces orthonormal basis\n",
+      "done in 0.023s\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_components = 250\n",
+    "\n",
+    "print(\n",
+    "    \"Extracting the top %d eigenfaces from %d faces\" % (n_components, X_train.shape[0])\n",
+    ")\n",
+    "t0 = time()\n",
+    "pca = PCA(n_components=n_components, svd_solver=\"randomized\", whiten=True).fit(X_train)\n",
+    "print(\"done in %0.3fs\" % (time() - t0))\n",
+    "\n",
+    "eigenfaces = pca.components_.reshape((n_components, h, w))\n",
+    "\n",
+    "print(\"Projecting the input data on the eigenfaces orthonormal basis\")\n",
+    "t0 = time()\n",
+    "X_train_pca = pca.transform(X_train)\n",
+    "X_test_pca = pca.transform(X_test)\n",
+    "\n",
+    "X_rec = pca.inverse_transform(X_test_pca)\n",
+    "print(\"done in %0.3fs\" % (time() - t0))"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 360x720 with 10 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_gallery(images, rec_images, h, w, n_row=3, n_col=4, start=0):\n",
+    "    \"\"\"Helper function to plot a gallery of portraits\"\"\"\n",
+    "    plt.figure(figsize=(1.8 * 2, 2.4 * n_row))\n",
+    "    plt.subplots_adjust(bottom=0, left=0.01, right=0.99, top=0.90, hspace=0.35)\n",
+    "    rows = 5\n",
+    "\n",
+    "\n",
+    "\n",
+    "    for i in range(rows):\n",
+    "        plt.subplot(rows, 2, 2*i + 1)\n",
+    "        plt.imshow(images[start+i].reshape((h, w)), cmap=plt.cm.gray)\n",
+    "        plt.title('Original', size=12)\n",
+    "        plt.xticks(())\n",
+    "        plt.yticks(())\n",
+    "\n",
+    "        plt.subplot(rows, 2, 2*i + 2)\n",
+    "        plt.imshow(rec_images[start+i].reshape((h, w)), cmap=plt.cm.gray)\n",
+    "        plt.title('Reconstructed', size=12)\n",
+    "        plt.xticks(())\n",
+    "        plt.yticks(())\n",
+    "\n",
+    "\n",
+    "def title(y_pred, y_test, target_names, i):\n",
+    "    pred_name = target_names[y_pred[i]].rsplit(\" \", 1)[-1]\n",
+    "    true_name = target_names[y_test[i]].rsplit(\" \", 1)[-1]\n",
+    "    return \"predicted: %s\\ntrue:      %s\" % (pred_name, true_name)\n",
+    "\n",
+    "\n",
+    "plot_gallery(X_test, X_rec, h, w, start=10)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "outputs": [],
+   "source": [
+    "columns = []\n",
+    "for i in range(n_components):\n",
+    "    columns.append(f'c_{i:03d}')\n",
+    "columns.append('Label')\n",
+    "data_df = pd.DataFrame(np.column_stack((X_train_pca, y_train)), columns=columns)\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "outputs": [],
+   "source": [
+    "marginals = []\n",
+    "for i in range(n_components):\n",
+    "    marginals.append((f'c_{i:03d}', 'Label'))\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snsynth.transform import TableTransformer, BinTransformer, LabelTransformer, MinMaxTransformer\n",
+    "\n",
+    "transformers = []\n",
+    "for i in range(n_components):\n",
+    "    c = f'c_{i:03d}'\n",
+    "    mx = data_df[c].max()\n",
+    "    mn = data_df[c].min()\n",
+    "    transformers.append(MinMaxTransformer(lower=mn, upper=mx, negative=False))\n",
+    "transformers.append(LabelTransformer())\n",
+    "transformer = TableTransformer(transformers)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Marginal= ('c_000', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_001', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_002', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_003', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_004', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_005', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_006', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
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+      "Marginal= ('c_224', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_225', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_226', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_227', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_228', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_229', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_230', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_231', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_232', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_233', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_234', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_235', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_236', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_237', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_238', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_239', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_240', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_241', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_242', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_243', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_244', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_245', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_246', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_247', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_248', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "Marginal= ('c_249', 'Label') . Sigma=0.0023. Top.Level=8. Max.Size=None\n",
+      "\tTotal size=1020000\n",
+      "Statistics size = 1020000\n",
+      "Statistics size = 1020000\n",
+      "Gen=         0: fitness=65.8284722. fitness change=0.99999993  Strategy weights:  [0.25 0.25 0.25 0.25] time=47.27(s)\n",
+      "Gen=       966: fitness=41.4508009. fitness change=0.99999996  Strategy weights:  [0.25 0.25 0.25 0.25] time=104.43(s)\n",
+      "Gen=      1932: fitness=  38.73715. fitness change=0.06546679  Strategy weights:  [0.179 0.264 0.258 0.299] time=129.61(s)\n",
+      "Gen=      2898: fitness=37.8955009. fitness change=0.02172718  Strategy weights:  [0.156 0.248 0.233 0.364] time=151.82(s)\n",
+      "Gen=      3864: fitness=37.2417845. fitness change=0.01725050  Strategy weights:  [0.07  0.386 0.195 0.35 ] time=174.93(s)\n",
+      "Gen=      4830: fitness=36.4896658. fitness change=0.02019556  Strategy weights:  [0.066 0.417 0.42  0.096] time=204.88(s)\n",
+      "Gen=      5796: fitness=35.7808533. fitness change=0.01942502  Strategy weights:  [0.022 0.554 0.25  0.174] time=228.70(s)\n",
+      "Gen=      6762: fitness=34.9671855. fitness change=0.02274031  Strategy weights:  [0.101 0.595 0.304 0.   ] time=254.51(s)\n",
+      "Gen=      7728: fitness=34.1720321. fitness change=0.02273999  Strategy weights:  [0.071 0.619 0.31  0.   ] time=280.73(s)\n",
+      "Gen=      8694: fitness=33.4301355. fitness change=0.02171064  Strategy weights:  [0.091 0.561 0.348 0.   ] time=308.79(s)\n",
+      "Gen=      9660: fitness=32.6888698. fitness change=0.02217358  Strategy weights:  [0.3   0.412 0.288 0.   ] time=333.31(s)\n",
+      "Gen=     10626: fitness= 31.977893. fitness change=0.02174981  Strategy weights:  [0.282 0.429 0.289 0.   ] time=358.53(s)\n",
+      "Gen=     11592: fitness=31.2956355. fitness change=0.02133529  Strategy weights:  [0.177 0.535 0.287 0.   ] time=383.83(s)\n",
+      "Gen=     12558: fitness=30.6455243. fitness change=0.02077322  Strategy weights:  [0.071 0.591 0.338 0.   ] time=410.39(s)\n",
+      "Gen=     13524: fitness=29.9744682. fitness change=0.02189736  Strategy weights:  [0.215 0.62  0.165 0.   ] time=430.35(s)\n",
+      "Gen=     14490: fitness=29.3230124. fitness change=0.02173369  Strategy weights:  [0.05  0.832 0.117 0.   ] time=450.04(s)\n",
+      "Gen=     15456: fitness=28.7436884. fitness change=0.01975663  Strategy weights:  [0.034 0.617 0.35  0.   ] time=476.91(s)\n",
+      "Gen=     16422: fitness=28.1119911. fitness change=0.02197690  Strategy weights:  [0.327 0.62  0.053 0.   ] time=494.12(s)\n",
+      "Gen=     17388: fitness=27.4863304. fitness change=0.02225601  Strategy weights:  [0.442 0.558 0.    0.   ] time=509.42(s)\n",
+      "Gen=     18354: fitness=26.8811892. fitness change=0.02201608  Strategy weights:  [0.406 0.594 0.    0.   ] time=524.81(s)\n",
+      "Gen=     19320: fitness=26.3013687. fitness change=0.02156975  Strategy weights:  [0.463 0.537 0.    0.   ] time=539.98(s)\n",
+      "Gen=     20286: fitness=25.7438116. fitness change=0.02119879  Strategy weights:  [0.367 0.633 0.    0.   ] time=555.46(s)\n",
+      "Gen=     21252: fitness=25.2005785. fitness change=0.02110150  Strategy weights:  [0.39 0.61 0.   0.  ] time=570.75(s)\n",
+      "Gen=     22218: fitness=24.6739076. fitness change=0.02089916  Strategy weights:  [0.205 0.795 0.    0.   ] time=586.36(s)\n",
+      "Gen=     23184: fitness=24.1635038. fitness change=0.02068597  Strategy weights:  [0.326 0.674 0.    0.   ] time=602.06(s)\n",
+      "Gen=     24150: fitness=23.6692673. fitness change=0.02045384  Strategy weights:  [0.255 0.745 0.    0.   ] time=617.61(s)\n",
+      "Gen=     25116: fitness=23.1919118. fitness change=0.02016774  Strategy weights:  [0.176 0.824 0.    0.   ] time=633.23(s)\n",
+      "Gen=     26082: fitness= 22.725302. fitness change=0.02011951  Strategy weights:  [0.141 0.859 0.    0.   ] time=648.85(s)\n",
+      "Gen=     27048: fitness=22.2693622. fitness change=0.02006309  Strategy weights:  [0.174 0.826 0.    0.   ] time=664.51(s)\n",
+      "Gen=     28014: fitness=21.8334359. fitness change=0.01957516  Strategy weights:  [0.299 0.701 0.    0.   ] time=679.99(s)\n",
+      "Gen=     28980: fitness=21.4121141. fitness change=0.01929709  Strategy weights:  [0.582 0.418 0.    0.   ] time=695.48(s)\n",
+      "Gen=     29946: fitness=21.0041449. fitness change=0.01905320  Strategy weights:  [0.608 0.392 0.    0.   ] time=711.03(s)\n",
+      "Gen=     30912: fitness=20.6118567. fitness change=0.01867671  Strategy weights:  [0.814 0.186 0.    0.   ] time=726.36(s)\n",
+      "Gen=     31878: fitness=20.2229466. fitness change=0.01886827  Strategy weights:  [0.789 0.211 0.    0.   ] time=741.69(s)\n",
+      "Gen=     32844: fitness=19.8533517. fitness change=0.01827602  Strategy weights:  [0.813 0.187 0.    0.   ] time=757.03(s)\n",
+      "Gen=     33810: fitness=19.4906592. fitness change=0.01826858  Strategy weights:  [0.761 0.239 0.    0.   ] time=772.48(s)\n",
+      "Gen=     34776: fitness=19.1281816. fitness change=0.01859750  Strategy weights:  [0.669 0.331 0.    0.   ] time=787.79(s)\n",
+      "Gen=     35742: fitness=  18.78324. fitness change=0.01803316  Strategy weights:  [0.683 0.317 0.    0.   ] time=803.03(s)\n",
+      "Gen=     36708: fitness=18.4421858. fitness change=0.01815737  Strategy weights:  [0.526 0.474 0.    0.   ] time=818.65(s)\n",
+      "Gen=     37674: fitness=18.1128141. fitness change=0.01785969  Strategy weights:  [0.597 0.403 0.    0.   ] time=834.11(s)\n",
+      "Gen=     38640: fitness=17.7968403. fitness change=0.01744476  Strategy weights:  [0.782 0.218 0.    0.   ] time=849.32(s)\n",
+      "Gen=     39606: fitness=17.4836431. fitness change=0.01759847  Strategy weights:  [0.742 0.258 0.    0.   ] time=864.43(s)\n",
+      "Gen=     40572: fitness=17.1726264. fitness change=0.01778901  Strategy weights:  [0.341 0.659 0.    0.   ] time=879.97(s)\n",
+      "Gen=     41538: fitness= 16.872348. fitness change=0.01748588  Strategy weights:  [0.425 0.575 0.    0.   ] time=895.55(s)\n",
+      "Gen=     42504: fitness=16.5791115. fitness change=0.01737971  Strategy weights:  [0.423 0.577 0.    0.   ] time=911.20(s)\n",
+      "Gen=     43470: fitness=16.2920097. fitness change=0.01731708  Strategy weights:  [0.438 0.562 0.    0.   ] time=926.91(s)\n",
+      "Gen=     44436: fitness=16.0101698. fitness change=0.01729927  Strategy weights:  [0.433 0.567 0.    0.   ] time=942.41(s)\n",
+      "Gen=     45402: fitness= 15.732085. fitness change=0.01736926  Strategy weights:  [0.25 0.75 0.   0.  ] time=958.03(s)\n",
+      "Gen=     46368: fitness=15.4613885. fitness change=0.01720665  Strategy weights:  [0.391 0.609 0.    0.   ] time=973.60(s)\n",
+      "Gen=     47334: fitness=15.1938221. fitness change=0.01730546  Strategy weights:  [0.434 0.566 0.    0.   ] time=988.94(s)\n",
+      "Gen=     48300: fitness=14.9363723. fitness change=0.01694437  Strategy weights:  [0.4 0.6 0.  0. ] time=1004.84(s)\n",
+      "Gen=     49266: fitness=14.6860121. fitness change=0.01676178  Strategy weights:  [0.588 0.412 0.    0.   ] time=1020.37(s)\n",
+      "Gen=     50232: fitness= 14.439737. fitness change=0.01676937  Strategy weights:  [0.469 0.531 0.    0.   ] time=1035.78(s)\n",
+      "Gen=     51198: fitness=14.1974677. fitness change=0.01677795  Strategy weights:  [0.504 0.496 0.    0.   ] time=1051.18(s)\n",
+      "Gen=     52164: fitness=13.9596218. fitness change=0.01675270  Strategy weights:  [0.378 0.622 0.    0.   ] time=1066.70(s)\n",
+      "Gen=     53130: fitness=13.7299308. fitness change=0.01645395  Strategy weights:  [0.527 0.473 0.    0.   ] time=1082.16(s)\n",
+      "Gen=     54096: fitness=13.5051072. fitness change=0.01637471  Strategy weights:  [0.491 0.509 0.    0.   ] time=1097.54(s)\n",
+      "Gen=     55062: fitness=13.2757414. fitness change=0.01698364  Strategy weights:  [0.335 0.665 0.    0.   ] time=1113.15(s)\n",
+      "Gen=     56028: fitness=13.0578125. fitness change=0.01641557  Strategy weights:  [0.373 0.627 0.    0.   ] time=1128.60(s)\n",
+      "Gen=     56994: fitness=12.8450463. fitness change=0.01629417  Strategy weights:  [0.461 0.539 0.    0.   ] time=1144.15(s)\n",
+      "Gen=     57960: fitness=12.6334717. fitness change=0.01647130  Strategy weights:  [0.37 0.63 0.   0.  ] time=1159.51(s)\n",
+      "Gen=     58926: fitness=12.4262763. fitness change=0.01640051  Strategy weights:  [0.227 0.773 0.    0.   ] time=1175.01(s)\n",
+      "Gen=     59892: fitness=12.2227634. fitness change=0.01637763  Strategy weights:  [0.037 0.963 0.    0.   ] time=1190.87(s)\n",
+      "Gen=     60858: fitness=12.0231171. fitness change=0.01633397  Strategy weights:  [0.031 0.969 0.    0.   ] time=1206.29(s)\n",
+      "Gen=     61824: fitness=11.8278301. fitness change=0.01624262  Strategy weights:  [0.013 0.987 0.    0.   ] time=1222.00(s)\n",
+      "Gen=     62790: fitness=11.6357982. fitness change=0.01623560  Strategy weights:  [0. 1. 0. 0.] time=1237.82(s)\n",
+      "Gen=     63756: fitness=11.4471252. fitness change=0.01621487  Strategy weights:  [0. 1. 0. 0.] time=1253.53(s)\n",
+      "Gen=     64722: fitness=11.2629911. fitness change=0.01608561  Strategy weights:  [0. 1. 0. 0.] time=1269.37(s)\n",
+      "Gen=     65688: fitness=11.0869059. fitness change=0.01563397  Strategy weights:  [0. 1. 0. 0.] time=1285.35(s)\n",
+      "Gen=     66654: fitness=10.9115192. fitness change=0.01581926  Strategy weights:  [0. 1. 0. 0.] time=1300.92(s)\n",
+      "Gen=     67620: fitness=10.7388879. fitness change=0.01582102  Strategy weights:  [0. 1. 0. 0.] time=1316.60(s)\n",
+      "Gen=     68586: fitness=10.5710097. fitness change=0.01563273  Strategy weights:  [0. 1. 0. 0.] time=1332.30(s)\n",
+      "Gen=     69552: fitness=10.4085634. fitness change=0.01536715  Strategy weights:  [0. 1. 0. 0.] time=1348.03(s)\n",
+      "Gen=     70518: fitness=10.2472517. fitness change=0.01549798  Strategy weights:  [0. 1. 0. 0.] time=1364.01(s)\n",
+      "Gen=     71484: fitness=10.0906183. fitness change=0.01528540  Strategy weights:  [0. 1. 0. 0.] time=1379.89(s)\n",
+      "Gen=     72450: fitness= 9.9387861. fitness change=0.01504687  Strategy weights:  [0. 1. 0. 0.] time=1395.70(s)\n",
+      "Gen=     73416: fitness=9.78989881. fitness change=0.01498043  Strategy weights:  [0. 1. 0. 0.] time=1411.88(s)\n",
+      "Gen=     74382: fitness=9.64289868. fitness change=0.01501549  Strategy weights:  [0. 1. 0. 0.] time=1427.66(s)\n",
+      "Gen=     75348: fitness=9.49962166. fitness change=0.01485829  Strategy weights:  [0. 1. 0. 0.] time=1443.20(s)\n",
+      "Gen=     76314: fitness=9.36252635. fitness change=0.01443166  Strategy weights:  [0. 1. 0. 0.] time=1458.85(s)\n",
+      "Gen=     77280: fitness=9.22550983. fitness change=0.01463457  Strategy weights:  [0. 1. 0. 0.] time=1474.72(s)\n",
+      "Gen=     78246: fitness= 9.0935217. fitness change=0.01430687  Strategy weights:  [0. 1. 0. 0.] time=1490.37(s)\n",
+      "Gen=     79212: fitness=8.96708638. fitness change=0.01390389  Strategy weights:  [0. 1. 0. 0.] time=1506.28(s)\n",
+      "Gen=     80178: fitness=8.84398057. fitness change=0.01372863  Strategy weights:  [0.    0.947 0.053 0.   ] time=1524.08(s)\n",
+      "Gen=     81144: fitness=8.74307269. fitness change=0.01140978  Strategy weights:  [0.    0.669 0.331 0.   ] time=1551.24(s)\n",
+      "Gen=     82110: fitness=8.63865165. fitness change=0.01194329  Strategy weights:  [0.    0.686 0.314 0.   ] time=1577.37(s)\n",
+      "Gen=     83076: fitness=8.53818882. fitness change=0.01162946  Strategy weights:  [0.    0.711 0.289 0.   ] time=1603.10(s)\n",
+      "Gen=     84042: fitness=8.44157878. fitness change=0.01131505  Strategy weights:  [0.    0.696 0.304 0.   ] time=1629.50(s)\n",
+      "Gen=     85008: fitness=8.34546285. fitness change=0.01138601  Strategy weights:  [0.    0.691 0.309 0.   ] time=1655.26(s)\n",
+      "Gen=     85974: fitness=8.25616727. fitness change=0.01069989  Strategy weights:  [0.   0.61 0.39 0.  ] time=1683.42(s)\n",
+      "Gen=     86940: fitness= 8.1663372. fitness change=0.01088036  Strategy weights:  [0.   0.65 0.35 0.  ] time=1710.20(s)\n",
+      "Gen=     87906: fitness=8.07525501. fitness change=0.01115337  Strategy weights:  [0.    0.732 0.268 0.   ] time=1734.80(s)\n",
+      "Gen=     88872: fitness=7.99006154. fitness change=0.01054994  Strategy weights:  [0.   0.64 0.36 0.  ] time=1762.31(s)\n",
+      "Gen=     89838: fitness=7.90625909. fitness change=0.01048834  Strategy weights:  [0.    0.676 0.324 0.   ] time=1788.73(s)\n",
+      "Gen=     90804: fitness= 7.8196944. fitness change=0.01094888  Strategy weights:  [0.    0.759 0.241 0.   ] time=1812.35(s)\n",
+      "Gen=     91770: fitness=7.73304268. fitness change=0.01108122  Strategy weights:  [0.    0.827 0.173 0.   ] time=1834.40(s)\n",
+      "Gen=     92736: fitness=7.64694666. fitness change=0.01113352  Strategy weights:  [0.    0.848 0.152 0.   ] time=1855.33(s)\n",
+      "Gen=     93702: fitness=7.56563123. fitness change=0.01063371  Strategy weights:  [0.    0.789 0.211 0.   ] time=1877.92(s)\n",
+      "Gen=     94668: fitness=7.49427138. fitness change=0.00943211  Strategy weights:  [0.    0.622 0.378 0.   ] time=1906.41(s)\n",
+      "Gen=     95634: fitness=7.41618274. fitness change=0.01041978  Strategy weights:  [0.  0.8 0.2 0. ] time=1928.66(s)\n",
+      "Gen=     96600: fitness=7.33977169. fitness change=0.01030328  Strategy weights:  [0.    0.808 0.192 0.   ] time=1950.36(s)\n",
+      "Gen=     97566: fitness=7.26786918. fitness change=0.00979629  Strategy weights:  [0.   0.78 0.22 0.  ] time=1973.38(s)\n",
+      "Gen=     98532: fitness=7.19844647. fitness change=0.00955200  Strategy weights:  [0.    0.755 0.245 0.   ] time=1997.32(s)\n",
+      "Gen=     99498: fitness=7.13324767. fitness change=0.00905734  Strategy weights:  [0.    0.647 0.353 0.   ] time=2023.86(s)\n",
+      "Gen=    100464: fitness=7.06957145. fitness change=0.00892668  Strategy weights:  [0.    0.684 0.316 0.   ] time=2048.93(s)\n",
+      "Gen=    101430: fitness=7.00886101. fitness change=0.00858757  Strategy weights:  [0.    0.648 0.352 0.   ] time=2075.83(s)\n",
+      "Gen=    102396: fitness= 6.9506155. fitness change=0.00831027  Strategy weights:  [0.    0.635 0.365 0.   ] time=2103.51(s)\n",
+      "Gen=    103362: fitness=6.89335528. fitness change=0.00823815  Strategy weights:  [0.    0.634 0.366 0.   ] time=2130.97(s)\n",
+      "Gen=    104328: fitness=6.83377701. fitness change=0.00864285  Strategy weights:  [0.    0.765 0.235 0.   ] time=2154.42(s)\n",
+      "Gen=    105294: fitness=6.77596487. fitness change=0.00845976  Strategy weights:  [0.    0.728 0.272 0.   ] time=2178.99(s)\n",
+      "Gen=    106260: fitness=6.71787491. fitness change=0.00857294  Strategy weights:  [0.    0.811 0.189 0.   ] time=2201.40(s)\n",
+      "Gen=    107226: fitness=6.66133566. fitness change=0.00841624  Strategy weights:  [0.   0.84 0.16 0.  ] time=2222.21(s)\n",
+      "Gen=    108192: fitness= 6.6082579. fitness change=0.00796804  Strategy weights:  [0.    0.718 0.282 0.   ] time=2246.73(s)\n",
+      "Gen=    109158: fitness=6.55969556. fitness change=0.00734874  Strategy weights:  [0.    0.687 0.313 0.   ] time=2273.39(s)\n",
+      "Gen=    110124: fitness=6.50813429. fitness change=0.00786031  Strategy weights:  [0.    0.826 0.174 0.   ] time=2295.17(s)\n",
+      "Gen=    111090: fitness=6.45954291. fitness change=0.00746625  Strategy weights:  [0.    0.778 0.222 0.   ] time=2318.76(s)\n",
+      "Gen=    112056: fitness= 6.4127523. fitness change=0.00724364  Strategy weights:  [0.    0.788 0.212 0.   ] time=2341.76(s)\n",
+      "Gen=    113022: fitness=6.37017727. fitness change=0.00663912  Strategy weights:  [0.    0.592 0.408 0.   ] time=2371.12(s)\n",
+      "Gen=    113988: fitness=6.32695703. fitness change=0.00678478  Strategy weights:  [0.    0.713 0.287 0.   ] time=2396.34(s)\n",
+      "Gen=    114954: fitness=6.28600402. fitness change=0.00647278  Strategy weights:  [0.    0.663 0.337 0.   ] time=2423.95(s)\n",
+      "Gen=    115920: fitness=6.24668521. fitness change=0.00625498  Strategy weights:  [0.    0.635 0.365 0.   ] time=2450.81(s)\n",
+      "Gen=    116886: fitness=  6.207417. fitness change=0.00628625  Strategy weights:  [0.    0.671 0.329 0.   ] time=2476.95(s)\n",
+      "Gen=    117852: fitness=6.17081416. fitness change=0.00589663  Strategy weights:  [0.    0.642 0.358 0.   ] time=2504.44(s)\n",
+      "Gen=    118818: fitness=6.13268851. fitness change=0.00617838  Strategy weights:  [0.   0.74 0.26 0.  ] time=2528.40(s)\n",
+      "Gen=    119784: fitness=6.09460597. fitness change=0.00620976  Strategy weights:  [0.    0.811 0.189 0.   ] time=2550.24(s)\n",
+      "Gen=    120750: fitness=6.06007734. fitness change=0.00566544  Strategy weights:  [0.    0.741 0.259 0.   ] time=2575.39(s)\n",
+      "Gen=    121716: fitness=6.02896183. fitness change=0.00513451  Strategy weights:  [0.    0.604 0.396 0.   ] time=2604.03(s)\n",
+      "Gen=    122682: fitness=5.99791532. fitness change=0.00514956  Strategy weights:  [0.    0.629 0.371 0.   ] time=2632.93(s)\n",
+      "Gen=    123648: fitness=5.96999856. fitness change=0.00465441  Strategy weights:  [0.    0.482 0.518 0.   ] time=2665.77(s)\n",
+      "Gen=    124614: fitness=5.94095686. fitness change=0.00486461  Strategy weights:  [0.    0.552 0.448 0.   ] time=2696.15(s)\n",
+      "Gen=    125580: fitness=5.91136888. fitness change=0.00498034  Strategy weights:  [0.    0.645 0.355 0.   ] time=2723.19(s)\n",
+      "Gen=    126546: fitness=5.88297527. fitness change=0.00480322  Strategy weights:  [0.    0.596 0.404 0.   ] time=2752.45(s)\n",
+      "Gen=    127512: fitness=5.85621575. fitness change=0.00454864  Strategy weights:  [0.    0.607 0.393 0.   ] time=2782.34(s)\n",
+      "Gen=    128478: fitness=5.83037302. fitness change=0.00441287  Strategy weights:  [0.    0.577 0.423 0.   ] time=2811.63(s)\n",
+      "Gen=    129444: fitness=5.80634529. fitness change=0.00412113  Strategy weights:  [0.    0.481 0.519 0.   ] time=2843.89(s)\n",
+      "Gen=    130410: fitness=5.78508981. fitness change=0.00366073  Strategy weights:  [0.    0.373 0.627 0.   ] time=2879.95(s)\n",
+      "Gen=    131376: fitness=5.76155599. fitness change=0.00406801  Strategy weights:  [0.    0.504 0.496 0.   ] time=2910.92(s)\n",
+      "Gen=    132342: fitness=5.73569287. fitness change=0.00448891  Strategy weights:  [0.    0.659 0.341 0.   ] time=2937.83(s)\n",
+      "Gen=    133308: fitness=5.71244279. fitness change=0.00405358  Strategy weights:  [0.    0.604 0.396 0.   ] time=2966.09(s)\n",
+      "Gen=    134274: fitness=5.69022367. fitness change=0.00388960  Strategy weights:  [0.    0.542 0.458 0.   ] time=2995.73(s)\n",
+      "Gen=    135240: fitness=5.66574253. fitness change=0.00430232  Strategy weights:  [0.    0.786 0.214 0.   ] time=3018.25(s)\n",
+      "Gen=    136206: fitness=5.64164572. fitness change=0.00425307  Strategy weights:  [0.    0.803 0.197 0.   ] time=3041.96(s)\n",
+      "Gen=    137172: fitness=5.61950364. fitness change=0.00392476  Strategy weights:  [0.    0.728 0.272 0.   ] time=3066.38(s)\n",
+      "Gen=    138138: fitness= 5.5978825. fitness change=0.00384752  Strategy weights:  [0.    0.773 0.227 0.   ] time=3089.37(s)\n",
+      "Gen=    139104: fitness=5.57719465. fitness change=0.00369566  Strategy weights:  [0.    0.735 0.265 0.   ] time=3113.87(s)\n",
+      "Gen=    140070: fitness=5.55848912. fitness change=0.00335393  Strategy weights:  [0.    0.667 0.333 0.   ] time=3140.59(s)\n",
+      "Gen=    141036: fitness=5.54169029. fitness change=0.00302219  Strategy weights:  [0.   0.47 0.53 0.  ] time=3174.11(s)\n",
+      "Gen=    142002: fitness=5.52641308. fitness change=0.00275678  Strategy weights:  [0.    0.418 0.582 0.   ] time=3209.72(s)\n",
+      "Gen=    142968: fitness=5.51052998. fitness change=0.00287403  Strategy weights:  [0.   0.45 0.55 0.  ] time=3246.04(s)\n",
+      "Gen=    143934: fitness=5.49524756. fitness change=0.00277331  Strategy weights:  [0.    0.404 0.596 0.   ] time=3282.29(s)\n",
+      "Gen=    144900: fitness= 5.4798277. fitness change=0.00280603  Strategy weights:  [0.    0.493 0.507 0.   ] time=3314.65(s)\n",
+      "Gen=    145866: fitness= 5.4625362. fitness change=0.00315548  Strategy weights:  [0.    0.592 0.408 0.   ] time=3342.07(s)\n",
+      "Gen=    146832: fitness=5.44658452. fitness change=0.00292020  Strategy weights:  [0.    0.655 0.345 0.   ] time=3369.03(s)\n",
+      "Gen=    147798: fitness=5.43128184. fitness change=0.00280959  Strategy weights:  [0.    0.601 0.399 0.   ] time=3397.25(s)\n",
+      "Gen=    148764: fitness=5.41697819. fitness change=0.00263357  Strategy weights:  [0.    0.559 0.441 0.   ] time=3426.87(s)\n",
+      "Gen=    149730: fitness= 5.4014926. fitness change=0.00285871  Strategy weights:  [0.    0.706 0.294 0.   ] time=3453.02(s)\n",
+      "Gen=    150696: fitness=5.38807698. fitness change=0.00248369  Strategy weights:  [0.    0.511 0.489 0.   ] time=3484.62(s)\n",
+      "Gen=    151662: fitness=5.37447863. fitness change=0.00252379  Strategy weights:  [0.   0.55 0.45 0.  ] time=3514.62(s)\n",
+      "Gen=    152628: fitness=5.36242276. fitness change=0.00224317  Strategy weights:  [0.    0.437 0.563 0.   ] time=3548.13(s)\n",
+      "Gen=    153594: fitness=5.35116724. fitness change=0.00209896  Strategy weights:  [0.    0.335 0.665 0.   ] time=3584.67(s)\n",
+      "Gen=    154560: fitness=  5.340532. fitness change=0.00198746  Strategy weights:  [0.    0.293 0.707 0.   ] time=3621.46(s)\n",
+      "Gen=    155526: fitness=5.33099975. fitness change=0.00178489  Strategy weights:  [0.    0.264 0.736 0.   ] time=3660.89(s)\n",
+      "Gen=    156492: fitness=5.32248343. fitness change=0.00159751  Strategy weights:  [0.    0.163 0.837 0.   ] time=3702.69(s)\n",
+      "Gen=    157458: fitness=5.31359049. fitness change=0.00167083  Strategy weights:  [0.    0.174 0.826 0.   ] time=3744.17(s)\n",
+      "Gen=    158424: fitness=5.30291089. fitness change=0.00200986  Strategy weights:  [0.    0.419 0.581 0.   ] time=3776.86(s)\n",
+      "Gen=    159390: fitness=5.29308165. fitness change=0.00185356  Strategy weights:  [0.    0.313 0.687 0.   ] time=3813.83(s)\n",
+      "Gen=    160356: fitness=5.28172569. fitness change=0.00214543  Strategy weights:  [0.    0.598 0.402 0.   ] time=3842.01(s)\n",
+      "Gen=    161322: fitness=5.26961957. fitness change=0.00229208  Strategy weights:  [0.    0.677 0.323 0.   ] time=3867.23(s)\n",
+      "Gen=    162288: fitness=5.25820415. fitness change=0.00216627  Strategy weights:  [0.    0.709 0.291 0.   ] time=3891.74(s)\n",
+      "Gen=    163254: fitness=5.24646552. fitness change=0.00223244  Strategy weights:  [0.    0.725 0.275 0.   ] time=3915.53(s)\n",
+      "Gen=    164220: fitness=5.23514818. fitness change=0.00215714  Strategy weights:  [0.   0.72 0.28 0.  ] time=3939.02(s)\n",
+      "Gen=    165186: fitness=5.22378929. fitness change=0.00216973  Strategy weights:  [0.    0.821 0.179 0.   ] time=3960.36(s)\n",
+      "Gen=    166152: fitness=5.21179818. fitness change=0.00229548  Strategy weights:  [0.    0.982 0.018 0.   ] time=3975.88(s)\n",
+      "Gen=    167118: fitness=5.20032688. fitness change=0.00220103  Strategy weights:  [0.    0.995 0.005 0.   ] time=3991.54(s)\n",
+      "Gen=    168084: fitness=5.18933578. fitness change=0.00211354  Strategy weights:  [0.    0.969 0.031 0.   ] time=4007.44(s)\n",
+      "Gen=    169050: fitness=5.17811719. fitness change=0.00216186  Strategy weights:  [0.    0.997 0.003 0.   ] time=4022.71(s)\n",
+      "Gen=    170016: fitness=5.16750752. fitness change=0.00204894  Strategy weights:  [0. 1. 0. 0.] time=4038.20(s)\n",
+      "Gen=    170982: fitness= 5.1569145. fitness change=0.00204993  Strategy weights:  [0. 1. 0. 0.] time=4053.53(s)\n",
+      "Gen=    171948: fitness=5.14633473. fitness change=0.00205157  Strategy weights:  [0. 1. 0. 0.] time=4068.68(s)\n",
+      "Gen=    172914: fitness=5.13664333. fitness change=0.00188316  Strategy weights:  [0. 1. 0. 0.] time=4083.99(s)\n",
+      "Gen=    173880: fitness=5.12745122. fitness change=0.00178952  Strategy weights:  [0. 1. 0. 0.] time=4099.09(s)\n",
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+      "Gen=    181608: fitness=5.06022776. fitness change=0.00150038  Strategy weights:  [0. 1. 0. 0.] time=4222.49(s)\n",
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+      "Gen=    408618: fitness=4.65005326. fitness change=0.00005939  Strategy weights:  [0. 1. 0. 0.] time=7827.53(s)\n",
+      "Gen=    409584: fitness=4.64975682. fitness change=0.00006375  Strategy weights:  [0. 1. 0. 0.] time=7842.98(s)\n",
+      "Gen=    410550: fitness=4.64943224. fitness change=0.00006980  Strategy weights:  [0. 1. 0. 0.] time=7858.44(s)\n",
+      "Gen=    411516: fitness=4.64915577. fitness change=0.00005946  Strategy weights:  [0. 1. 0. 0.] time=7873.86(s)\n",
+      "Gen=    412482: fitness=4.64889846. fitness change=0.00005535  Strategy weights:  [0. 1. 0. 0.] time=7889.07(s)\n",
+      "Gen=    413448: fitness=4.64857316. fitness change=0.00006998  Strategy weights:  [0. 1. 0. 0.] time=7904.74(s)\n",
+      "Gen=    414414: fitness=4.64827912. fitness change=0.00006325  Strategy weights:  [0. 1. 0. 0.] time=7919.97(s)\n",
+      "Gen=    415380: fitness=4.64801134. fitness change=0.00005761  Strategy weights:  [0. 1. 0. 0.] time=7935.21(s)\n",
+      "Gen=    416346: fitness=4.64771296. fitness change=0.00006420  Strategy weights:  [0. 1. 0. 0.] time=7950.46(s)\n",
+      "Gen=    417312: fitness=4.64743871. fitness change=0.00005901  Strategy weights:  [0. 1. 0. 0.] time=7965.96(s)\n",
+      "Gen=    418278: fitness= 4.6471468. fitness change=0.00006281  Strategy weights:  [0. 1. 0. 0.] time=7981.24(s)\n",
+      "Gen=    419244: fitness=4.64676079. fitness change=0.00008306  Strategy weights:  [0. 1. 0. 0.] time=7996.54(s)\n",
+      "Gen=    420210: fitness=4.64651754. fitness change=0.00005235  Strategy weights:  [0. 1. 0. 0.] time=8011.84(s)\n",
+      "Gen=    421176: fitness=  4.646181. fitness change=0.00007243  Strategy weights:  [0. 1. 0. 0.] time=8027.02(s)\n",
+      "Gen=    422142: fitness=4.64587928. fitness change=0.00006494  Strategy weights:  [0. 1. 0. 0.] time=8042.51(s)\n",
+      "Gen=    423108: fitness=4.64558688. fitness change=0.00006294  Strategy weights:  [0. 1. 0. 0.] time=8057.95(s)\n",
+      "Gen=    424074: fitness=4.64532626. fitness change=0.00005610  Strategy weights:  [0. 1. 0. 0.] time=8073.21(s)\n",
+      "Gen=    425040: fitness= 4.6451041. fitness change=0.00004782  Strategy weights:  [0. 1. 0. 0.] time=8088.52(s)\n",
+      "Gen=    426006: fitness=4.64485079. fitness change=0.00005453  Strategy weights:  [0. 1. 0. 0.] time=8103.86(s)\n",
+      "Gen=    426972: fitness= 4.6445461. fitness change=0.00006560  Strategy weights:  [0. 1. 0. 0.] time=8119.47(s)\n",
+      "Gen=    427938: fitness=4.64426829. fitness change=0.00005981  Strategy weights:  [0. 1. 0. 0.] time=8134.70(s)\n",
+      "Gen=    428904: fitness= 4.6439715. fitness change=0.00006390  Strategy weights:  [0. 1. 0. 0.] time=8150.09(s)\n",
+      "Gen=    429870: fitness=4.64369071. fitness change=0.00006046  Strategy weights:  [0. 1. 0. 0.] time=8165.15(s)\n",
+      "Gen=    430836: fitness=4.64344482. fitness change=0.00005295  Strategy weights:  [0. 1. 0. 0.] time=8180.58(s)\n",
+      "Gen=    431802: fitness=4.64319847. fitness change=0.00005305  Strategy weights:  [0. 1. 0. 0.] time=8195.96(s)\n",
+      "Gen=    432768: fitness=4.64289764. fitness change=0.00006479  Strategy weights:  [0. 1. 0. 0.] time=8211.26(s)\n",
+      "Gen=    433734: fitness=4.64262865. fitness change=0.00005794  Strategy weights:  [0. 1. 0. 0.] time=8226.41(s)\n",
+      "Gen=    434700: fitness=4.64239395. fitness change=0.00005055  Strategy weights:  [0. 1. 0. 0.] time=8241.83(s)\n",
+      "Gen=    435666: fitness= 4.6421771. fitness change=0.00004671  Strategy weights:  [0. 1. 0. 0.] time=8257.24(s)\n",
+      "Gen=    436632: fitness=4.64192546. fitness change=0.00005421  Strategy weights:  [0. 1. 0. 0.] time=8272.42(s)\n",
+      "Gen=    437598: fitness=4.64173684. fitness change=0.00004064  Strategy weights:  [0. 1. 0. 0.] time=8287.79(s)\n",
+      "Gen=    438564: fitness=4.64149459. fitness change=0.00005219  Strategy weights:  [0. 1. 0. 0.] time=8303.17(s)\n",
+      "Gen=    439530: fitness=4.64125061. fitness change=0.00005256  Strategy weights:  [0. 1. 0. 0.] time=8318.55(s)\n",
+      "Gen=    440496: fitness=4.64102153. fitness change=0.00004936  Strategy weights:  [0. 1. 0. 0.] time=8333.75(s)\n",
+      "Gen=    441462: fitness=4.64077713. fitness change=0.00005266  Strategy weights:  [0. 1. 0. 0.] time=8348.72(s)\n",
+      "Gen=    442428: fitness=4.64052586. fitness change=0.00005414  Strategy weights:  [0. 1. 0. 0.] time=8363.99(s)\n",
+      "Gen=    443394: fitness= 4.6402664. fitness change=0.00005591  Strategy weights:  [0. 1. 0. 0.] time=8379.35(s)\n",
+      "Gen=    444360: fitness=4.64005035. fitness change=0.00004656  Strategy weights:  [0. 1. 0. 0.] time=8394.54(s)\n",
+      "Gen=    445326: fitness= 4.6398525. fitness change=0.00004264  Strategy weights:  [0. 1. 0. 0.] time=8409.75(s)\n",
+      "Gen=    446292: fitness= 4.6395778. fitness change=0.00005921  Strategy weights:  [0. 1. 0. 0.] time=8425.20(s)\n",
+      "Gen=    447258: fitness=4.63934015. fitness change=0.00005122  Strategy weights:  [0. 1. 0. 0.] time=8440.66(s)\n",
+      "Gen=    448224: fitness=4.63912312. fitness change=0.00004678  Strategy weights:  [0. 1. 0. 0.] time=8456.18(s)\n",
+      "Gen=    449190: fitness=4.63886243. fitness change=0.00005619  Strategy weights:  [0. 1. 0. 0.] time=8471.28(s)\n",
+      "Gen=    450156: fitness=4.63863167. fitness change=0.00004975  Strategy weights:  [0. 1. 0. 0.] time=8486.49(s)\n",
+      "Gen=    451122: fitness=4.63844248. fitness change=0.00004078  Strategy weights:  [0. 1. 0. 0.] time=8502.12(s)\n",
+      "Gen=    452088: fitness=4.63823341. fitness change=0.00004507  Strategy weights:  [0. 1. 0. 0.] time=8517.48(s)\n",
+      "Gen=    453054: fitness=4.63801108. fitness change=0.00004794  Strategy weights:  [0. 1. 0. 0.] time=8532.70(s)\n",
+      "Gen=    454020: fitness=4.63776157. fitness change=0.00005380  Strategy weights:  [0. 1. 0. 0.] time=8547.89(s)\n",
+      "Gen=    454986: fitness=4.63755664. fitness change=0.00004419  Strategy weights:  [0. 1. 0. 0.] time=8562.97(s)\n",
+      "Gen=    455952: fitness=4.63731074. fitness change=0.00005302  Strategy weights:  [0. 1. 0. 0.] time=8578.27(s)\n",
+      "Gen=    456918: fitness= 4.6371208. fitness change=0.00004096  Strategy weights:  [0. 1. 0. 0.] time=8593.56(s)\n",
+      "Gen=    457884: fitness=4.63681033. fitness change=0.00006695  Strategy weights:  [0. 1. 0. 0.] time=8609.02(s)\n",
+      "Gen=    458850: fitness=4.63653902. fitness change=0.00005851  Strategy weights:  [0. 1. 0. 0.] time=8624.32(s)\n",
+      "Gen=    459816: fitness=4.63633059. fitness change=0.00004495  Strategy weights:  [0. 1. 0. 0.] time=8639.63(s)\n",
+      "Gen=    460782: fitness=4.63610371. fitness change=0.00004893  Strategy weights:  [0. 1. 0. 0.] time=8654.96(s)\n",
+      "Gen=    461748: fitness=4.63587962. fitness change=0.00004834  Strategy weights:  [0. 1. 0. 0.] time=8670.52(s)\n",
+      "Gen=    462714: fitness=4.63568057. fitness change=0.00004294  Strategy weights:  [0. 1. 0. 0.] time=8685.86(s)\n",
+      "Gen=    463680: fitness=4.63544501. fitness change=0.00005081  Strategy weights:  [0. 1. 0. 0.] time=8701.14(s)\n",
+      "Gen=    464646: fitness=4.63518887. fitness change=0.00005526  Strategy weights:  [0. 1. 0. 0.] time=8716.52(s)\n",
+      "Gen=    465612: fitness=4.63499394. fitness change=0.00004205  Strategy weights:  [0. 1. 0. 0.] time=8731.67(s)\n",
+      "Gen=    466578: fitness=4.63476217. fitness change=0.00005000  Strategy weights:  [0. 1. 0. 0.] time=8747.10(s)\n",
+      "Gen=    467544: fitness= 4.6345817. fitness change=0.00003894  Strategy weights:  [0. 1. 0. 0.] time=8762.40(s)\n",
+      "Gen=    468510: fitness=4.63437363. fitness change=0.00004490  Strategy weights:  [0. 1. 0. 0.] time=8777.58(s)\n",
+      "Gen=    469476: fitness=4.63413631. fitness change=0.00005121  Strategy weights:  [0. 1. 0. 0.] time=8793.07(s)\n",
+      "Gen=    470442: fitness=4.63393907. fitness change=0.00004256  Strategy weights:  [0. 1. 0. 0.] time=8808.57(s)\n",
+      "Gen=    471408: fitness=4.63372677. fitness change=0.00004581  Strategy weights:  [0. 1. 0. 0.] time=8823.92(s)\n",
+      "Gen=    472374: fitness=4.63351263. fitness change=0.00004621  Strategy weights:  [0. 1. 0. 0.] time=8839.50(s)\n",
+      "Gen=    473340: fitness=4.63334643. fitness change=0.00003587  Strategy weights:  [0. 1. 0. 0.] time=8854.81(s)\n",
+      "Gen=    474306: fitness= 4.6331363. fitness change=0.00004535  Strategy weights:  [0. 1. 0. 0.] time=8870.14(s)\n",
+      "Gen=    475272: fitness=4.63290784. fitness change=0.00004931  Strategy weights:  [0. 1. 0. 0.] time=8885.43(s)\n",
+      "Gen=    476238: fitness=4.63268464. fitness change=0.00004818  Strategy weights:  [0. 1. 0. 0.] time=8900.73(s)\n",
+      "Gen=    477204: fitness=4.63248701. fitness change=0.00004266  Strategy weights:  [0. 1. 0. 0.] time=8915.95(s)\n",
+      "Gen=    478170: fitness=4.63227551. fitness change=0.00004566  Strategy weights:  [0. 1. 0. 0.] time=8931.20(s)\n",
+      "Gen=    479136: fitness= 4.6320314. fitness change=0.00005270  Strategy weights:  [0. 1. 0. 0.] time=8946.83(s)\n",
+      "Gen=    480102: fitness= 4.6318414. fitness change=0.00004102  Strategy weights:  [0. 1. 0. 0.] time=8961.86(s)\n",
+      "Gen=    481068: fitness=4.63163398. fitness change=0.00004478  Strategy weights:  [0. 1. 0. 0.] time=8977.36(s)\n",
+      "Gen=    482034: fitness=4.63144044. fitness change=0.00004179  Strategy weights:  [0. 1. 0. 0.] time=8992.69(s)\n",
+      "Gen=    483000: fitness=4.63124646. fitness change=0.00004188  Strategy weights:  [0. 1. 0. 0.] time=9008.26(s)\n",
+      "Gen=    483966: fitness=4.63104321. fitness change=0.00004388  Strategy weights:  [0. 1. 0. 0.] time=9023.60(s)\n",
+      "Gen=    484932: fitness=4.63087878. fitness change=0.00003551  Strategy weights:  [0. 1. 0. 0.] time=9039.09(s)\n",
+      "Gen=    485898: fitness=4.63065418. fitness change=0.00004850  Strategy weights:  [0. 1. 0. 0.] time=9054.45(s)\n",
+      "Gen=    486864: fitness=4.63048221. fitness change=0.00003714  Strategy weights:  [0. 1. 0. 0.] time=9069.87(s)\n",
+      "Gen=    487830: fitness=4.63029165. fitness change=0.00004115  Strategy weights:  [0. 1. 0. 0.] time=9085.24(s)\n",
+      "Gen=    488796: fitness=4.63010168. fitness change=0.00004103  Strategy weights:  [0. 1. 0. 0.] time=9100.63(s)\n",
+      "Gen=    489762: fitness=4.62991917. fitness change=0.00003942  Strategy weights:  [0. 1. 0. 0.] time=9115.85(s)\n",
+      "Gen=    490728: fitness=4.62975114. fitness change=0.00003629  Strategy weights:  [0. 1. 0. 0.] time=9131.21(s)\n",
+      "Gen=    491694: fitness=4.62956159. fitness change=0.00004094  Strategy weights:  [0. 1. 0. 0.] time=9146.57(s)\n",
+      "Gen=    492660: fitness= 4.6293649. fitness change=0.00004249  Strategy weights:  [0. 1. 0. 0.] time=9162.01(s)\n",
+      "Gen=    493626: fitness= 4.6291935. fitness change=0.00003702  Strategy weights:  [0. 1. 0. 0.] time=9177.40(s)\n",
+      "Gen=    494592: fitness=4.62907457. fitness change=0.00002569  Strategy weights:  [0. 1. 0. 0.] time=9192.75(s)\n",
+      "\t\t ### Stop early at 494592 ###\n"
+     ]
+    }
+   ],
+   "source": [
+    "synth = GSDSynthesizer(epsilon=1000.0 , delta=1e-5, tree_height=8, verbose=True)\n",
+    "synth.fit(data_df,\n",
+    "          transformer=transformer,\n",
+    "          marginals=marginals,\n",
+    "          early_stop_threshold=0.00003)\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n",
+      "Bush\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 180x240 with 0 Axes>"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 540x720 with 9 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 180x240 with 0 Axes>"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 540x720 with 9 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "def plot_class(images, y, target, h, w, n_col=3, n_row=3):\n",
+    "    \"\"\"Helper function to plot a gallery of portraits\"\"\"\n",
+    "    plt.figure(figsize=(1.8, 2.4 ))\n",
+    "    plt.subplots_adjust(bottom=0, left=0.01, right=0.99, top=0.90, hspace=0.35)\n",
+    "    plt.figure(figsize=(1.8 * n_col, 2.4 * n_row))\n",
+    "    plt.subplots_adjust(bottom=0, left=0.01, right=0.99, top=0.90, hspace=0.35)\n",
+    "    cnt = 0\n",
+    "    # for i in range(n_row * n_col):\n",
+    "    for i in range(images.shape[0]):\n",
+    "        class_name = target_names[int(y[i])].rsplit(\" \", 1)[-1]\n",
+    "        if class_name == target:\n",
+    "            print(class_name)\n",
+    "            cnt = cnt + 1\n",
+    "            if cnt > n_row * n_col: break\n",
+    "            plt.subplot(n_row, n_col, cnt)\n",
+    "            plt.imshow(images[i].reshape((h, w)), cmap=plt.cm.gray)\n",
+    "            # plt.title(titles[i], size=12)\n",
+    "            plt.xticks(())\n",
+    "            plt.yticks(())\n",
+    "\n",
+    "sync_pca = synth.sample().values\n",
+    "X_sync_pca = sync_pca[:, :-1]\n",
+    "y_sync =  sync_pca[:, -1]\n",
+    "X_sync = pca.inverse_transform(X_sync_pca)\n",
+    "plot_class(X_sync, y_sync, 'Bush', h, w)\n",
+    "plot_class(X_test, y_test, 'Bush', h, w)\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = RidgeClassifier\n",
+    "synth_df = pd.DataFrame(synthetic, \n",
+    "    columns=real.columns)\n",
+    "\n",
+    "X = real.iloc[:, :-1]\n",
+    "y = real.iloc[:, -1]\n",
+    "X_synth = synth_df.iloc[:, :-1]\n",
+    "y_synth = synth_df.iloc[:, -1]\n",
+    "\n",
+    "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "x_train_synth, x_test_synth, y_train_synth, y_test_synth = train_test_split(X_synth, y_synth, test_size=0.2, random_state=42)\n",
+    "\n",
+    "print(y_train)\n",
+    "print(y_train_synth)\n",
+    "\n",
+    "model_real = model()\n",
+    "model_real.fit(x_train, y_train)\n",
+    "\n",
+    "print(y_train_synth.max())\n",
+    "print(y_train_synth.min())\n",
+    "\n",
+    "# model_fake = model()\n",
+    "# model_fake.fit(x_train_synth, y_train_synth)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import RidgeClassifier\n",
+    "\n",
+    "import utils\n",
+    "\n",
+    "real = pd.DataFrame(data_np[:sample_size])\n",
+    "\n",
+    "model_real, model_fake = utils.test_real_vs_synthetic_data(real, synthetic, RidgeClassifier, tsne=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Classification \n",
+    "coef = model_real.coef_.copy()\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "scale = np.abs(coef).max()\n",
+    "for i in range(10):\n",
+    "    l1_plot = plt.subplot(2, 5, i + 1)\n",
+    "    l1_plot.imshow(coef[i].reshape(28, 28), interpolation='nearest',\n",
+    "                   cmap=plt.cm.RdBu, vmin=-scale, vmax=scale)\n",
+    "    l1_plot.set_xticks(())\n",
+    "    l1_plot.set_yticks(())\n",
+    "    l1_plot.set_xlabel('Class %i' % i)\n",
+    "plt.suptitle('Classification vector for...')\n",
+    "\n",
+    "run_time = time.time() - t0\n",
+    "print('Example run in %.3f s' % run_time)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "coef = model_fake.coef_.copy()\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "scale = np.abs(coef).max()\n",
+    "for i in range(10):\n",
+    "    l1_plot = plt.subplot(2, 5, i + 1)\n",
+    "    l1_plot.imshow(coef[i].reshape(28, 28), interpolation='nearest',\n",
+    "                   cmap=plt.cm.RdBu, vmin=-scale, vmax=scale)\n",
+    "    l1_plot.set_xticks(())\n",
+    "    l1_plot.set_yticks(())\n",
+    "    l1_plot.set_xlabel('Class %i' % i)\n",
+    "plt.suptitle('Classification vector for...')\n",
+    "\n",
+    "run_time = time.time() - t0\n",
+    "print('Example run in %.3f s' % run_time)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/synth/samples/gsd_sample/datasets.json b/synth/samples/gsd_sample/datasets.json
new file mode 100644
index 00000000..b9add55a
--- /dev/null
+++ b/synth/samples/gsd_sample/datasets.json
@@ -0,0 +1,52 @@
+{
+    "nursery": {
+        "name": "nursery",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/nursery/nursery.data",
+        "categorical_columns": "parents,has_nurs,form,children,housing,finance,social,health",
+        "columns":"parents,has_nurs,form,children,housing,finance,social,health",
+        "target": "health",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "f"
+    },
+    "wine": {
+        "name": "wine",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv",
+        "categorical_columns": "quality",
+        "columns":"fixed,volatile,citric,residual,chlorides,free,total,density,ph,sulphates,alc,quality",
+        "target": "quality",
+        "header": "t",
+        "sep": ";",
+        "imbalanced": "f"
+    },
+    "mushroom": {
+        "name": "mushroom",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/mushroom/agaricus-lepiota.data",
+        "categorical_columns": "edible,cap-shape,cap-surface,cap-color,bruises,odor,gill-attach,gill-spacing,gill-size,gill-color,stalk-shape,stalk-root,stalk-sar,stalk-sbr,stalk-car,stalk-cbr,veil-type,veil-color,ring-number,ring-type,spore-print,population,habitat",
+"columns":"edible,cap-shape,cap-surface,cap-color,bruises,odor,gill-attach,gill-spacing,gill-size,gill-color,stalk-shape,stalk-root,stalk-sar,stalk-sbr,stalk-car,stalk-cbr,veil-type,veil-color,ring-number,ring-type,spore-print,population,habitat",
+        "target": "edible",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "f"
+    },
+    "car": {
+        "name": "car",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data",
+        "categorical_columns": "buying,maint,doors,persons,lug_boot,safety,class",
+"columns":"buying,maint,doors,persons,lug_boot,safety,class",
+        "target": "class",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "f"
+    },
+    "adult": {
+        "name": "adult",
+        "url": "http://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data",
+        "categorical_columns": "workclass,education,marital-status,occupation,relationship,race,sex,native-country,earning-class",
+        "columns":"age,workclass,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,earning-class",
+        "target": "earning-class",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "t"
+    }
+}
\ No newline at end of file
diff --git a/synth/samples/gsd_sample/load_data.py b/synth/samples/gsd_sample/load_data.py
new file mode 100644
index 00000000..b87436c9
--- /dev/null
+++ b/synth/samples/gsd_sample/load_data.py
@@ -0,0 +1,79 @@
+import os.path
+
+import numpy as np
+import pandas as pd
+
+# NOTE: Temporary
+# We add a memory cap here for now, which
+# forces a subsampling of particularly large
+# datasets in order to not overwhelm
+# joblib 
+# MEM_CAP = 1500000 # 500KB
+
+def load_data(req_datasets):
+    """
+    Takes in optional dataset list. Otherwise grabs them
+    from the conf.py file.
+
+    Returns a dictionary of datasets.
+    {
+        'dset': pd.DataFrame,
+        'dset': pd.DataFrame
+    }
+    """
+    import requests
+    import io
+    import json
+
+    os.makedirs('downloaded_datasets', exist_ok=True)
+    with open('datasets.json') as j:
+        dsets = j.read()
+    archive = json.loads(dsets)
+
+    loaded_datasets = {}
+
+    def retrieve_dataset(dataset):
+        r = requests.get(dataset['url'])
+        if r.ok:
+            data = r.content.decode('utf8')
+            sep = dataset['sep']
+            df = pd.read_csv(io.StringIO(data), names=dataset['columns'].split(','), sep=sep, index_col=False)
+            if dataset['header'] == "t":
+                df = df.iloc[1:]
+            return df
+
+        raise "Unable to retrieve dataset: " + dataset
+
+    def select_column(scol):
+        # Zero indexed, inclusive
+        return scol.split(',')
+
+    def encode_categorical(df,dataset):
+        from sklearn.preprocessing import LabelEncoder
+
+        encoders = {}
+        if dataset['categorical_columns'] != "":
+            for column in select_column(dataset['categorical_columns']):
+                encoders[column] = LabelEncoder()
+                df[column] = encoders[column].fit_transform(df[column])
+
+        df = df.apply(pd.to_numeric, errors='ignore')
+        data_mem = df.memory_usage(index=True).sum()
+        print("Memory consumed by " + dataset['name'] + ":" + str(data_mem))
+        return {"data": df, "target": dataset['target'], "name": dataset['name'], "categorical_columns": dataset['categorical_columns']}
+
+    for d in req_datasets:
+        data_name = archive[d]['name']
+        data_path = f"downloaded_datasets/{data_name}.csv"
+        if os.path.exists(data_path):
+            print(f'loading {data_path}')
+            df = pd.read_csv(data_path, index_col=0)
+        else:
+            df = retrieve_dataset(archive[d])
+            print(f'saving {data_path}')
+            df.to_csv(data_path)
+        encoded_df_dict = encode_categorical(df, archive[d]) 
+        loaded_datasets[d] = encoded_df_dict
+
+    # Return dictionary of pd dataframes
+    return loaded_datasets
\ No newline at end of file
diff --git a/synth/samples/gsd_sample/requirements.txt b/synth/samples/gsd_sample/requirements.txt
new file mode 100644
index 00000000..3d920d29
--- /dev/null
+++ b/synth/samples/gsd_sample/requirements.txt
@@ -0,0 +1,6 @@
+pandas
+numpy
+matplotlib
+scikit-learn
+skimage
+opendp-smartnoise
diff --git a/synth/samples/gsd_sample/utils.py b/synth/samples/gsd_sample/utils.py
new file mode 100644
index 00000000..755d5e91
--- /dev/null
+++ b/synth/samples/gsd_sample/utils.py
@@ -0,0 +1,55 @@
+import pandas as pd
+
+
+def test_real_vs_synthetic_data(real, synthetic: pd.DataFrame, test_data, model,
+                               categorical_features,
+                                tsne=False):
+    import numpy as np
+    from sklearn.metrics import classification_report
+    from sklearn.metrics import accuracy_score
+    import matplotlib.pyplot as plt
+
+    X_real = real.iloc[:, :-1]
+    y_real = real.iloc[:, -1]
+    X_synth = synthetic.iloc[:, :-1]
+    y_synth = synthetic.iloc[:, -1]
+
+    X_test = test_data.iloc[:, :-1]
+    y_test = test_data.iloc[:, -1]
+
+    model_real = model()
+    model_real.fit(X_real, y_real)
+
+    model_fake = model()
+    model_fake.fit(X_synth, y_synth)
+    
+    #Test the model
+    predictions = model_real.predict(X_test)
+    print()
+    print('Trained on Real Data')
+    print(classification_report(y_test, predictions))
+    print('Accuracy real: ' + str(accuracy_score(y_test, predictions)))
+    
+    predictions = model_fake.predict(X_test)
+    print()
+    print('Trained on Synthetic Data')
+    print(classification_report(y_test, predictions))
+    print('Accuracy synthetic: ' + str(accuracy_score(y_test, predictions)))
+
+    # TSNE Plot
+    if tsne:
+        from sklearn.manifold import TSNE
+        comb = np.vstack((X_real[:500], X_synth[:500]))
+        embedding_1 = TSNE(n_components=2, perplexity=5.0, early_exaggeration=1.0).fit_transform(comb)
+        x,y = embedding_1.T
+        l = int(len(x) / 2)
+        inds = []
+
+        plt.rcParams["figure.figsize"] = (15,15)
+        plt.scatter(x,y,c=['purple' if i in inds else 'red' for i in range(l)]+['purple' if j in inds else 'blue' for j in range(l)])
+        plt.gca().legend(('Real Data','Real'))
+        plt.title('TSNE Plot, Real Data vs. Synthetic')
+        plt.show()
+
+    return model_real, model_fake
+
diff --git a/synth/snsynth/gsd/__init__.py b/synth/snsynth/gsd/__init__.py
new file mode 100644
index 00000000..4812a393
--- /dev/null
+++ b/synth/snsynth/gsd/__init__.py
@@ -0,0 +1,4 @@
+from .gsd import GSDSynthesizer
+
+
+__all__ = ["GSDSynthesizer"]
diff --git a/synth/snsynth/gsd/gsd.py b/synth/snsynth/gsd/gsd.py
new file mode 100644
index 00000000..860eb703
--- /dev/null
+++ b/synth/snsynth/gsd/gsd.py
@@ -0,0 +1,321 @@
+import pandas as pd
+import numpy as np
+
+try:
+    import jax
+    import itertools
+    import jax.numpy as jnp
+except ImportError:
+    print("Please install jax and flax:\nFor example you can run the install_cpu.sh or install_gpu.sh scripts.")
+
+from jax.lib import xla_bridge
+if xla_bridge.get_backend().platform == 'cpu':
+    print("For GSD support, please install jax: pip install --upgrade  \"jax[cuda11_cudnn82]==0.4.6\" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html")
+
+from snsynth.base import Synthesizer
+from snsynth.utils import cdp_rho, exponential_mechanism, gaussian_noise, powerset
+from snsynth.transform import *
+from snsynth.transform.type_map import TypeMap, ColumnTransformer
+from snsynth.gsd.utils import Domain, Dataset
+from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, get_k_way_marginals
+from snsynth.gsd.utils.generate_sync_data import generate, AVAILABLE_GENETIC_OPERATORS
+from typing import Callable
+from snsynth.transform.definitions import ColumnType
+
+class GSDSynthesizer(Synthesizer):
+    """
+    Based on the paper: https://arxiv.org/abs/2306.03257
+    """
+
+    def __init__(self, epsilon=1., delta=1e-9, tree_height=20, verbose=False, *args, **kwargs):
+        # GSDSynthesizer.__init__()
+        super().__init__(*args, **kwargs)
+        self.epsilon = epsilon
+        self.delta = delta
+        self.verbose = verbose
+
+        self.rho = cdp_rho(epsilon=epsilon, delta=delta)
+        self.tree_height = tree_height
+
+    def fit(
+            self,
+            data, *ignore,
+            meta_data: dict = None,
+            transformer=None,
+            categorical_columns: list = None,
+            ordinal_columns: list = None,
+            continuous_columns: list = None,
+            preprocessor_eps: float = 0.0,
+            nullable=False,
+            N_prime: int = None,
+            early_stop_threshold: float = 0.0001,  # Increase this if you need to make GSD end sooner
+            conditional_columns: list = (),   # Add extra dimension to the marginals. (Must be categorical)
+            genetic_operators=(),
+            marginals: list[tuple] = None,
+            seed=None):
+
+        self.data = self._get_data(data, transformer, categorical_columns, ordinal_columns,
+                                   continuous_columns, preprocessor_eps,  nullable)
+        self.dim = len(self.data.domain.attrs)
+        self.N_prime = len(self.data.df) if N_prime is None else N_prime
+        self.conditional_columns = conditional_columns
+
+        # Get statistics
+        self.true_stats, self.stat_fn, bin_edges = self.get_statistics(marginals)
+
+        if self.verbose:
+            print(f'Statistics size = {len(self.true_stats)}')
+
+        if seed is None: seed = np.random.randint(0, 1e9)
+        self.key = jax.random.PRNGKey(seed)
+
+        # Define genetic strategy and parameters
+        if len(genetic_operators) == 0:
+            genetic_operators = AVAILABLE_GENETIC_OPERATORS
+
+        domain = self.data.domain
+        if bin_edges is not None:
+            if self.verbose: print(f'Setting bin_edges for GSD.')
+            domain.set_bin_edges(bin_edges)
+        # Call genetic data generator
+        self.sync_data = generate(self.key,
+                                domain=domain,
+                                N_prime=self.N_prime,
+                                num_generations=50000000,
+                                private_statistics=self.true_stats,
+                                statistics_fn=self.stat_fn,
+                                genetic_operators=genetic_operators,
+                                early_stop_threshold=early_stop_threshold,
+                                print_progress=self.verbose)
+
+        data_list = self.get_values_as_list(self.data.domain, self.sync_data.df)
+        self.sync_data_df = self._transformer.inverse_transform(data_list)
+
+    def get_statistics(self, marginals: list[tuple] = None) -> (list, Callable, dict):
+        data = self.data
+        bin_edges = _get_bin_edges(domain=data.domain, tree_height=self.tree_height)
+
+        priv_stats_2k, stat_fn_2k = _get_mixed_marginal_fn(data,
+                                                           marginals_list=marginals,
+                                                           bin_edges=bin_edges,
+                                                           rho=self.rho,
+                                                           verbose=self.verbose)
+        if self.verbose:
+            print(f'Statistics size = {len(priv_stats_2k)}')
+        return priv_stats_2k, stat_fn_2k, None
+
+
+    def get_values_as_list(self, domain: Domain, df: pd.DataFrame):
+        data_as_list = []
+        for i, row in df.iterrows():
+            row_list = []
+            for j, col in enumerate(domain.attrs):
+                value= row[col]
+                if col in domain.get_categorical_cols():
+                    row_list.append(int(value))
+                if col in domain.get_ordinal_cols():
+                    row_list.append(int(value))
+                if col in domain.get_continuous_cols():
+                    row_list.append(float(value))
+            data_as_list.append(row_list)
+        return data_as_list
+
+    def sample(self, samples=None):
+        if samples is None:
+            return self.sync_data_df
+
+        data = self.sync_data_df.sample(n=samples, replace=(samples > self.N_prime))
+        return data
+
+    @staticmethod
+    def get_column_names(data):
+        if isinstance(data, pd.DataFrame):
+            return data.columns
+        elif isinstance(data, np.ndarray):
+            return list(range(len(data[0])))
+        elif isinstance(data, list):
+            return list(range(len(data[0])))
+
+    def _get_data_old(self, data,
+                  meta_data: dict=None,
+                  transformer = None,
+                  categorical_columns=None,
+                  ordinal_columns=None,
+                  continuous_columns=None,
+                  preprocessor_eps: float = None,
+                  nullable=False
+                  ):
+
+        columns = self.get_column_names(data)
+
+        if meta_data is None:
+            meta_data = {}
+        if categorical_columns is None:
+            categorical_columns = []
+        if ordinal_columns is None:
+            ordinal_columns = []
+        if continuous_columns is None:
+            continuous_columns = []
+        def add_unique(s , str_list: list):
+            if s not in str_list:
+                str_list.append(s)
+        if meta_data is not None:
+            for meta_col in columns:
+                if  meta_col in  meta_data.keys() and 'type' in meta_data[meta_col].keys():
+                    type = meta_data[meta_col]['type']
+                    if type == 'string':
+                        add_unique(meta_col, categorical_columns)
+                    if type == 'int':
+                        add_unique(meta_col, ordinal_columns)
+                    if type == 'float':
+                        add_unique(meta_col, continuous_columns)
+
+        if len(continuous_columns) + len(ordinal_columns) + len(categorical_columns) == 0:
+            inferred = TypeMap.infer_column_types(data)
+            categorical_columns = inferred['categorical_columns']
+            ordinal_columns = inferred['ordinal_columns']
+            continuous_columns = inferred['continuous_columns']
+            if not nullable:
+                nullable = len(inferred['nullable_columns']) > 0
+
+        mapped_columns = categorical_columns + ordinal_columns + continuous_columns
+
+        assert len(mapped_columns) == len(columns), 'Column mismatch. Make sure that the meta_data configuration defines all columns.'
+
+        if transformer is None:
+            col_tranformers = []
+            for col in columns:
+                if col in categorical_columns:
+                    t = LabelTransformer(nullable=nullable)
+                    col_tranformers.append(t)
+                elif col in ordinal_columns:
+                    lower = meta_data[col]['lower'] if col in meta_data  and 'lower'in meta_data[col] else None
+                    upper = meta_data[col]['upper'] if col in meta_data and 'upper'in meta_data[col]else None
+                    t = OrdinalTransformer(lower=lower, upper=upper, nullable=nullable)
+                    col_tranformers.append(t)
+                elif col in continuous_columns:
+                    lower = meta_data[col]['lower'] if col in meta_data and 'lower'in meta_data[col] else None
+                    upper = meta_data[col]['upper'] if col in meta_data and 'upper'in meta_data[col]else None
+                    t = MinMaxTransformer(lower=lower, upper=upper, nullable=nullable, negative=False)
+                    col_tranformers.append(t)
+            self._transformer = TableTransformer(col_tranformers)
+        else:
+            self._transformer = transformer
+
+        train_data = self._get_train_data(
+            data,
+            style='NA',
+            transformer=self._transformer,
+            nullable=nullable,
+            preprocessor_eps=preprocessor_eps,
+            categorical_columns=categorical_columns,
+            ordinal_columns=ordinal_columns,
+            continuous_columns=continuous_columns
+            )
+
+        config = {}
+        for col_tt, col in zip(self._transformer.transformers, columns):
+            col_tt: ColumnTransformer
+            if col in categorical_columns:
+                cat_size = col_tt.cardinality[0]
+                config[col] = {'type': 'string', 'size': cat_size}
+            if col in ordinal_columns:
+                ord_size = col_tt.cardinality[0]
+                config[col] = {'type': 'int', 'size': ord_size}
+            if col in continuous_columns:
+                config[col] = {'type': 'float', 'size': 1}
+
+        domain = Domain(config)
+        data = Dataset(pd.DataFrame(np.array(train_data), columns=columns), domain)
+        self.categorical_columns = categorical_columns
+        self.ordinal_columns = ordinal_columns
+        self.continuous_columns = continuous_columns
+
+        return data
+
+    def _get_data(self, data,
+                  transformer=None,
+                  categorical_columns=None,
+                  ordinal_columns=None,
+                  continuous_columns=None,
+                  preprocessor_eps: float = None,
+                  nullable=False
+                  ):
+
+        columns = self.get_column_names(data)
+
+        if categorical_columns is None:
+            categorical_columns = []
+        if ordinal_columns is None:
+            ordinal_columns = []
+        if continuous_columns is None:
+            continuous_columns = []
+
+        mapped_columns = categorical_columns + ordinal_columns + continuous_columns
+
+        if (len(mapped_columns) == 0) and transformer is None:
+            # If column types and transformer are not specified then infer them
+            inferred = TypeMap.infer_column_types(data)
+            categorical_columns = inferred['categorical_columns']
+            ordinal_columns = inferred['ordinal_columns']
+            continuous_columns = inferred['continuous_columns']
+            if not nullable:
+                nullable = len(inferred['nullable_columns']) > 0
+            mapped_columns = categorical_columns + ordinal_columns + continuous_columns
+
+        if transformer is None:
+            # If transformer is not passed then use the column types to create one
+            assert len(mapped_columns) == len(columns), 'Column mismatch. Make sure all columns.'
+
+            col_tranformers = []
+            for col in columns:
+                if col in categorical_columns:
+                    t = LabelTransformer(nullable=nullable)
+                    col_tranformers.append(t)
+                elif col in ordinal_columns:
+                    lower = None
+                    upper = None
+                    t = OrdinalTransformer(lower=lower, upper=upper, nullable=nullable)
+                    col_tranformers.append(t)
+                elif col in continuous_columns:
+                    lower = None
+                    upper = None
+                    t = MinMaxTransformer(lower=lower, upper=upper, nullable=nullable, negative=False)
+                    col_tranformers.append(t)
+            self._transformer = TableTransformer(col_tranformers)
+
+        config = {}
+        assert len(transformer.transformers) == len(columns)
+        self._transformer = transformer
+        for col_tt, col in zip(self._transformer.transformers, columns):
+            if col_tt.output_type == ColumnType.CATEGORICAL:
+                cat_size = col_tt.cardinality[0]
+                config[col] = {'type': 'string', 'size': cat_size}
+                categorical_columns.append(col)
+            if col_tt.output_type == ColumnType.ORDINAL:
+                ord_size = col_tt.cardinality[0]
+                config[col] = {'type': 'int', 'size': ord_size}
+                ordinal_columns.append(col)
+            if col_tt.output_type == ColumnType.CONTINUOUS:
+                config[col] = {'type': 'float', 'size': 1}
+                continuous_columns.append(col)
+
+
+        train_data = self._get_train_data(
+            data,
+            style='NA',
+            transformer=self._transformer,
+            nullable=nullable,
+            preprocessor_eps=preprocessor_eps,
+            categorical_columns=categorical_columns,
+            ordinal_columns=ordinal_columns,
+            continuous_columns=continuous_columns
+        )
+
+        domain = Domain(config)
+        data = Dataset(pd.DataFrame(np.array(train_data), columns=columns), domain)
+        self.categorical_columns = categorical_columns
+        self.ordinal_columns = ordinal_columns
+        self.continuous_columns = continuous_columns
+
+        return data
\ No newline at end of file
diff --git a/synth/snsynth/gsd/gsd_old.py b/synth/snsynth/gsd/gsd_old.py
new file mode 100644
index 00000000..939e972d
--- /dev/null
+++ b/synth/snsynth/gsd/gsd_old.py
@@ -0,0 +1,322 @@
+import pandas as pd
+import numpy as np
+
+try:
+    import jax
+    import itertools
+    import jax.numpy as jnp
+except ImportError:
+    print("Please install jax and flax:\nFor example you can run the install_cpu.sh or install_gpu.sh scripts.")
+
+from jax.lib import xla_bridge
+if xla_bridge.get_backend().platform == 'cpu':
+    print("For GSD support, please install jax: pip install --upgrade  \"jax[cuda11_cudnn82]==0.4.6\" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html")
+
+from snsynth.base import Synthesizer
+from snsynth.utils import cdp_rho, exponential_mechanism, gaussian_noise, powerset
+from snsynth.transform import *
+from snsynth.transform.type_map import TypeMap, ColumnTransformer
+from snsynth.gsd.utils import Domain, Dataset
+from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles
+from snsynth.gsd.utils.generate_sync_data import generate, AVAILABLE_GENETIC_OPERATORS
+from typing import Callable
+
+
+class GSDSynthesizer(Synthesizer):
+    """
+    Based on the paper: https://arxiv.org/abs/2306.03257
+    """
+
+    def __init__(self, epsilon=1., delta=1e-9, tree_height=20, verbose=False, *args, **kwargs):
+        # GSDSynthesizer.__init__()
+        super().__init__(*args, **kwargs)
+        self.epsilon = epsilon
+        self.delta = delta
+        self.verbose = verbose
+
+        self.rho = cdp_rho(epsilon=epsilon, delta=delta)
+        self.tree_height = tree_height
+
+    def fit(
+            self,
+            data, *ignore,
+            meta_data: dict = None,
+            transformer=None,
+            categorical_columns: list = None,
+            ordinal_columns: list = None,
+            continuous_columns: list = None,
+            preprocessor_eps: float = 0.0,
+            nullable=False,
+            N_prime: int = None,
+            early_stop_threshold: float = 0.0001,  # Increase this if you need to make GSD end sooner
+            conditional_columns: list = (),   # Add extra dimension to the marginals. (Must be categorical)
+            genetic_operators=(),
+            seed=None):
+
+
+        self.data = self._get_data(data, meta_data, categorical_columns, ordinal_columns,
+                                   continuous_columns, preprocessor_eps,  nullable)
+        self.dim = len(self.data.domain.attrs)
+        self.N_prime = len(self.data.df) if N_prime is None else N_prime
+        self.conditional_columns = conditional_columns
+        self.true_stats, self.stat_fn, bin_edges = self.get_statistics()
+
+        if self.verbose:
+            print(f'Statistics size = {len(self.true_stats)}')
+
+        if seed is None: seed = np.random.randint(0, 1e9)
+        self.key = jax.random.PRNGKey(seed)
+
+        # Define genetic strategy and parameters
+        if len(genetic_operators) == 0:
+            genetic_operators = AVAILABLE_GENETIC_OPERATORS
+
+        domain = self.data.domain
+        if bin_edges is not None:
+            if self.verbose: print(f'Setting bin_edges for GSD.')
+            domain.set_bin_edges(bin_edges)
+        # Call genetic data generator
+        self.sync_data = generate(self.key,
+                                domain=domain,
+                                N_prime=self.N_prime,
+                                num_generations=50000000,
+                                private_statistics=self.true_stats,
+                                statistics_fn=self.stat_fn,
+                                genetic_operators=genetic_operators,
+                                early_stop_threshold=early_stop_threshold,
+                                print_progress=self.verbose)
+
+        data_list = self.get_values_as_list(self.data.domain, self.sync_data.df)
+        self.sync_data_df = self._transformer.inverse_transform(data_list)
+
+
+    def get_statistics(self) -> (list, Callable, dict):
+        data = self.data
+        dim = len(data.domain.attrs)
+        # Split privacy budget
+        numeric_features = data.domain.get_continuous_cols() + data.domain.get_ordinal_cols()
+        num_numeric_features = len(numeric_features)
+        rho_1 = None
+        rho_2 = None
+
+        numeric_features_bin_edges = {}
+        if dim == 1:
+            rho_1 = self.rho
+        elif dim > 1 and num_numeric_features == 0:
+            rho_2 = self.rho
+            if self.verbose:
+                print(f'privacy budgets: Second moments = {rho_2:.6f}')
+        elif dim > 1 and num_numeric_features > 0:
+            num_2way_marginals = len(list(itertools.combinations(range(dim), 2)))
+            rho_1 = self.rho * num_numeric_features / (num_numeric_features + num_2way_marginals)
+            rho_2 = self.rho * num_2way_marginals / (num_numeric_features + num_2way_marginals)
+
+            if self.verbose:
+                print(f'privacy budgets: First moments = {rho_1:.6f}. Second moments = {rho_2:.6f}')
+
+        tree_height = self.tree_height
+        bin_edges = _get_bin_edges(domain=data.domain, tree_height=tree_height)
+
+        # Special case: 1-dimensional categorical data.
+        if dim==1 and num_numeric_features == 0:
+            priv_stats_1k, stat_fn_1k = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=rho_1,
+                                                                           features=data.domain.get_categorical_cols(),
+                                                                           verbose=self.verbose)
+            return priv_stats_1k, stat_fn_1k, numeric_features_bin_edges
+
+        if num_numeric_features > 0:
+            # Compute thresholds for all numeric features using privacy budget rho_1
+            _, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=rho_1,
+                                                           store_marginal_stats=True,
+                                                                           features=numeric_features,
+                                                               verbose=self.verbose)
+
+            # Compute density function
+            density_fn_params = []
+            priv_density = []
+            for col in numeric_features:
+                thres_q, den_q, thres_all, density_all = get_quantiles(marginals_info[(col,)], 200)
+                # Save threshold for computing the density function
+                col_id = data.domain.get_attribute_index(col)
+                for q, d in zip(thres_q, den_q):
+                    density_fn_params.append([col_id, q])
+                    priv_density.append(d)
+
+                # Store column histogram bin edges
+                numeric_features_bin_edges[col] = jnp.array(thres_q)
+
+
+            # Obtain first moment statistics and function.
+            priv_density_np = jnp.array(priv_density)
+            density_fn = _get_density_fn(jnp.array(density_fn_params))
+
+            # Special case: 1-dimensional numeric dataset
+            if dim == 1:
+                return priv_density_np, density_fn, numeric_features_bin_edges
+
+            # Compute bins for 2-way marginals
+            # We use a smaller tree height for 2-way marginals due to computational limits
+            for col in numeric_features:
+                num_quantiles = 50
+                approx_quantiles, densities, _, _ = get_quantiles(marginals_info[(col,)], num_quantiles)
+                # Split approximate quantile thresholds into levels
+                approx_quantiles = np.array(approx_quantiles)
+                col_tree_height = int(np.log2(approx_quantiles.shape[0]))
+                if self.verbose:
+                    print(f'{col:>10}.tree_height = {col_tree_height}. Thresholds={approx_quantiles.shape[0]}')
+                temp_bins = {'tree_height': col_tree_height}
+                col_size = data.domain.size(col)
+                for h in range(col_tree_height):
+                    if h < col_tree_height-1:
+                        step = approx_quantiles.shape[0] // (2 ** (h+1))
+                        p = np.arange(0, approx_quantiles.shape[0]+1, step=step)[:-1]
+                        thresholds = np.concatenate((approx_quantiles[p], np.array([col_size + 1e-5])))
+                    else:
+                        thresholds = np.concatenate((approx_quantiles, np.array([col_size + 1e-5])))
+                    temp_bins[h] = thresholds
+                # Update bin edges of all numeric features
+                bin_edges[col] = temp_bins
+
+            # Get second moment statistics using privacy budget rho_2
+            priv_stats_2k, stat_fn_2k = _get_mixed_marginal_fn(data, k=2, bin_edges=bin_edges, rho=rho_2,
+                                                               conditional_column=self.conditional_columns,
+                                                               verbose=self.verbose)
+
+            # Combine first and second moment statistics
+            def stat_fn_all(X):
+                stat_1k = density_fn(X)
+                stat_2k = stat_fn_2k(X)
+                return jnp.concatenate((stat_1k, stat_2k))
+
+            # General case: d-dimensional mixed-type dataset:
+            priv_stats_all = jnp.concatenate((jnp.array(priv_density_np), jnp.array(priv_stats_2k)))
+            return priv_stats_all, stat_fn_all, numeric_features_bin_edges
+        else:
+            # Special case: d-dimensional categorical data only:
+            priv_stats_2k, stat_fn_2k = _get_mixed_marginal_fn(data, k=2, bin_edges=bin_edges, rho=rho_2,
+                                                            conditional_column=self.conditional_columns,
+                                                               verbose=self.verbose)
+            return priv_stats_2k, stat_fn_2k, numeric_features_bin_edges
+
+    def get_values_as_list(self, domain: Domain, df: pd.DataFrame):
+        data_as_list = []
+        for i, row in df.iterrows():
+            row_list = []
+            for j, col in enumerate(domain.attrs):
+                value= row[col]
+                if col in domain.get_categorical_cols():
+                    row_list.append(int(value))
+                if col in domain.get_ordinal_cols():
+                    row_list.append(int(value))
+                if col in domain.get_continuous_cols():
+                    row_list.append(float(value))
+            data_as_list.append(row_list)
+        return data_as_list
+
+    def sample(self, samples=None):
+        if samples is None:
+            return self.sync_data_df
+
+        data = self.sync_data_df.sample(n=samples, replace=(samples > self.N_prime))
+        return data
+
+    @staticmethod
+    def get_column_names(data):
+        if isinstance(data, pd.DataFrame):
+            return data.columns
+        elif isinstance(data, np.ndarray):
+            return list(range(len(data[0])))
+        elif isinstance(data, list):
+            return list(range(len(data[0])))
+
+    def _get_data(self, data,
+                  meta_data: dict=None,
+                  categorical_columns=None,
+                  ordinal_columns=None,
+                  continuous_columns=None,
+                  preprocessor_eps: float = None,
+                  nullable=False
+                  ):
+
+        columns = self.get_column_names(data)
+
+        if meta_data is None:
+            meta_data = {}
+        if categorical_columns is None:
+            categorical_columns = []
+        if ordinal_columns is None:
+            ordinal_columns = []
+        if continuous_columns is None:
+            continuous_columns = []
+        def add_unique(s , str_list: list):
+            if s not in str_list:
+                str_list.append(s)
+        if meta_data is not None:
+            for meta_col in columns:
+                if  meta_col in  meta_data.keys() and 'type' in meta_data[meta_col].keys():
+                    type = meta_data[meta_col]['type']
+                    if type == 'string':
+                        add_unique(meta_col, categorical_columns)
+                    if type == 'int':
+                        add_unique(meta_col, ordinal_columns)
+                    if type == 'float':
+                        add_unique(meta_col, continuous_columns)
+
+        if len(continuous_columns) + len(ordinal_columns) + len(categorical_columns) == 0:
+            inferred = TypeMap.infer_column_types(data)
+            categorical_columns = inferred['categorical_columns']
+            ordinal_columns = inferred['ordinal_columns']
+            continuous_columns = inferred['continuous_columns']
+            if not nullable:
+                nullable = len(inferred['nullable_columns']) > 0
+
+        mapped_columns = categorical_columns + ordinal_columns + continuous_columns
+
+        assert len(mapped_columns) == len(columns), 'Column mismatch. Make sure that the meta_data configuration defines all columns.'
+
+        col_tranformers = []
+        for col in columns:
+            if col in categorical_columns:
+                t = LabelTransformer(nullable=nullable)
+                col_tranformers.append(t)
+            elif col in ordinal_columns:
+                lower = meta_data[col]['lower'] if col in meta_data  and 'lower'in meta_data[col] else None
+                upper = meta_data[col]['upper'] if col in meta_data and 'upper'in meta_data[col]else None
+                t = OrdinalTransformer(lower=lower, upper=upper, nullable=nullable)
+                col_tranformers.append(t)
+            elif col in continuous_columns:
+                lower = meta_data[col]['lower'] if col in meta_data and 'lower'in meta_data[col] else None
+                upper = meta_data[col]['upper'] if col in meta_data and 'upper'in meta_data[col]else None
+                t = MinMaxTransformer(lower=lower, upper=upper, nullable=nullable, negative=False)
+                col_tranformers.append(t)
+        self._transformer = TableTransformer(col_tranformers)
+        train_data = self._get_train_data(
+            data,
+            style='NA',
+            transformer=self._transformer,
+            nullable=nullable,
+            preprocessor_eps=preprocessor_eps,
+            categorical_columns=categorical_columns,
+            ordinal_columns=ordinal_columns,
+            continuous_columns=continuous_columns
+            )
+
+        config = {}
+        for col_tt, col in zip(col_tranformers, columns):
+            col_tt: ColumnTransformer
+            if col in categorical_columns:
+                cat_size = col_tt.cardinality[0]
+                config[col] = {'type': 'string', 'size': cat_size}
+            if col in ordinal_columns:
+                ord_size = col_tt.cardinality[0]
+                config[col] = {'type': 'int', 'size': ord_size}
+            if col in continuous_columns:
+                config[col] = {'type': 'float', 'size': 1}
+
+        domain = Domain(config)
+        data = Dataset(pd.DataFrame(np.array(train_data), columns=columns), domain)
+        self.categorical_columns = categorical_columns
+        self.ordinal_columns = ordinal_columns
+        self.continuous_columns = continuous_columns
+
+        return data
\ No newline at end of file
diff --git a/synth/snsynth/gsd/install_cpu.sh b/synth/snsynth/gsd/install_cpu.sh
new file mode 100644
index 00000000..e3f7d6e6
--- /dev/null
+++ b/synth/snsynth/gsd/install_cpu.sh
@@ -0,0 +1,2 @@
+pip install --upgrade "jax[cpu]=0.4.6"
+pip install flax
\ No newline at end of file
diff --git a/synth/snsynth/gsd/install_gpu.sh b/synth/snsynth/gsd/install_gpu.sh
new file mode 100644
index 00000000..7dd71ef6
--- /dev/null
+++ b/synth/snsynth/gsd/install_gpu.sh
@@ -0,0 +1,2 @@
+pip install --upgrade  "jax[cuda11_cudnn82]==0.4.6" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
+pip install jax
\ No newline at end of file
diff --git a/synth/snsynth/gsd/utils/__init__.py b/synth/snsynth/gsd/utils/__init__.py
new file mode 100644
index 00000000..88ba1a57
--- /dev/null
+++ b/synth/snsynth/gsd/utils/__init__.py
@@ -0,0 +1,2 @@
+from snsynth.gsd.utils.domain import Domain
+from snsynth.gsd.utils.dataset_jax import Dataset
\ No newline at end of file
diff --git a/synth/snsynth/gsd/utils/dataset_jax.py b/synth/snsynth/gsd/utils/dataset_jax.py
new file mode 100644
index 00000000..cc7f66ef
--- /dev/null
+++ b/synth/snsynth/gsd/utils/dataset_jax.py
@@ -0,0 +1,328 @@
+import json
+import jax.nn
+import numpy as np
+import jax.numpy as jnp
+from jax import random
+import pandas as pd
+from snsynth.gsd.utils import Domain
+
+
+class Dataset:
+    def __init__(self, df, domain: Domain):
+        """ create a Dataset object """
+        assert set(domain.attrs) <= set(df.columns), 'data must contain domain attributes'
+        self.domain = domain
+        self.df = df.loc[:, domain.attrs]
+
+    def __len__(self):
+        return len(self.df)
+
+    @staticmethod
+    def synthetic_jax_rng(domain: Domain, N, rng, null_values: float=0.0):
+        """
+        Generate synthetic data conforming to the given domain
+        :param domain: The domain object
+        :param N: the number of individuals
+        """
+        d = len(domain.attrs)
+        rng0, rng1 = jax.random.split(rng, 2)
+        rng_split = jax.random.split(rng0, d)
+        num_nulls = int(N * null_values)
+        arr = []
+        for (rng_temp, att) in zip(rng_split, domain.attrs):
+            rng_temp0, rng_temp1 = jax.random.split(rng_temp, 2)
+            c = None
+            if domain.is_categorical(att):
+                c = jax.random.randint(rng_temp0, shape=(N,), minval=0, maxval=domain.size(att))
+            elif domain.is_ordinal(att):
+                has_bin_edges, bin_edges = domain.get_bin_edges(att)
+                if has_bin_edges:
+                    # 1) Sample a bin
+                    rng_bin_0, rng_bin_1 = jax.random.split(rng_temp0, 2)
+                    num_bins = bin_edges.shape[0]
+                    bin_pos = jax.random.randint(rng_bin_0, shape=(N,), minval=1, maxval=num_bins)
+                    right_edge = jnp.ceil(bin_edges[bin_pos]).astype(int)
+                    left_edge = jnp.ceil(bin_edges[bin_pos - 1]).astype(int)
+                    c = jax.random.randint(rng_bin_1, minval=left_edge, maxval=right_edge, shape=(N,))
+                    # u = jax.random.uniform(rng_bin_1, shape=(N,))
+                    # c = (right_edge - left_edge) * u + left_edge
+                else:
+                    c = jax.random.randint(rng_temp0, shape=(N,), minval=0, maxval=domain.size(att))
+            elif domain.is_continuous(att):
+                has_bin_edges, bin_edges = domain.get_bin_edges(att)
+                if has_bin_edges:
+                    rng_bin_0, rng_bin_1 = jax.random.split(rng_temp0, 2)
+                    num_bins = bin_edges.shape[0]
+                    bin_pos = jax.random.randint(rng_bin_0, shape=(N,), minval=1, maxval=num_bins)
+                    right_edge = bin_edges[bin_pos]
+                    left_edge = bin_edges[bin_pos-1]
+                    u = jax.random.uniform(rng_bin_1, shape=(N, ))
+                    c = (right_edge - left_edge) * u + left_edge
+
+                else:
+                    c = jax.random.uniform(rng_temp0, shape=(N, ))
+
+            if domain.has_nulls(att):
+                null_idx = jax.random.randint(rng_temp1, minval=0, maxval=N, shape=(num_nulls,))
+                c = c.astype(float).at[null_idx].set(jnp.nan)
+            arr.append(c)
+
+
+        values = jnp.array(arr).T
+        return values
+
+    @staticmethod
+    def synthetic_rng(domain: Domain, N, rng, null_values: float=0.0):
+        """ Generate synthetic data conforming to the given domain """
+        arr = [rng.uniform(size=N) if domain.is_continuous(att)
+                else rng.integers(low=0, high=domain.size(att), size=N).astype(float) for att in domain.attrs]
+
+        values = np.array(arr).T
+        temp = rng.uniform(low=0, high=1, size=values.shape) < null_values
+        values[temp] = np.nan
+
+        df = pd.DataFrame(values, columns=domain.attrs)
+        return Dataset(df, domain)
+
+    @staticmethod
+    def synthetic(domain, N, seed: int, null_values: float=0.0):
+        rng = np.random.default_rng(seed)
+        return Dataset.synthetic_rng(domain, N, rng, null_values)
+
+    @staticmethod
+    def load(path, domain):
+        """ Load data into a dataset object
+
+        :param path: path to csv file
+        :param domain: path to json file encoding the domain information
+        """
+        df = pd.read_csv(path)
+        config = json.load(open(domain))
+        domain = Domain(config)
+        return Dataset(df, domain)
+    
+    def project(self, cols):
+        """ project dataset onto a subset of columns """
+        if type(cols) in [str, int]:
+            cols = [cols]
+        data = self.df.loc[:,cols]
+        domain = self.domain.project(cols)
+        return Dataset(data, domain)
+
+    def drop(self, cols):
+        proj = [c for c in self.domain if c not in cols]
+        return self.project(proj)
+
+    def sample(self, p=None, n=None, replace=False, seed=None):
+        subsample = None
+        if p is not None:
+            subsample = self.df.sample(frac=p, replace=replace, random_state=seed)
+        elif n is not None:
+            subsample = self.df.sample(n=n, replace=replace, random_state=seed)
+        return Dataset(subsample, domain=self.domain)
+
+    def even_split(self, k=5, seed=0):
+        key = random.PRNGKey(seed)
+        datasets = []
+        index = jnp.array(list(self.df.index))
+        random.shuffle(key, index)
+        df_split = jnp.array_split(index, k)
+        for kth in df_split:
+            df = self.df.loc[jnp.array(kth), :].copy()
+            datasets.append(Dataset(df, domain=self.domain))
+        return datasets
+
+
+    def get_row(self, row_index):
+        row_df = self.df.iloc[[row_index]]
+        return Dataset(row_df, domain=self.domain)
+
+    def get_row_dataset_list(self):
+        N = len(self.df)
+        res = []
+        for k in range(N):
+            res.append(self.get_row(k))
+        return res
+
+
+    @staticmethod
+    def from_numpy_to_dataset(domain, X):
+        df = pd.DataFrame(np.array(X), columns=domain.attrs)
+        return Dataset(df, domain=domain)
+
+    def to_numpy(self):
+        array = jnp.array(self.df.values.astype(float))
+        return array
+
+    def to_numpy_np(self):
+        array = np.array(self.df.values.astype(float))
+        return array
+
+    @staticmethod
+    def apply_softmax(domain: Domain, X_relaxed: jnp.ndarray) -> jnp.ndarray:
+        # Takes as input relaxed dataset
+        # Then outputs a dataset consistent with data schema self.domain
+        X_softmax = []
+        i = 0
+        for attr, num_classes in zip(domain.attrs, domain.shape):
+            logits = X_relaxed[:, i:i+num_classes]
+            i += num_classes
+
+            if num_classes > 1:
+                X_col = jax.nn.softmax(x=logits, axis=1)
+                X_softmax.append(X_col)
+            else:
+                # logits_clipped = jnp.clip(logits, a_min=0, a_max=1)
+                # X_softmax.append(logits_clipped)
+                X_softmax.append(logits)
+
+
+        X_softmax = jnp.concatenate(X_softmax, axis=1)
+        return X_softmax
+
+    @staticmethod
+    def normalize_categorical(domain: Domain, X_relaxed: jnp.ndarray) -> jnp.ndarray:
+        # Takes as input relaxed dataset
+        # Then outputs a dataset consistent with data schema self.domain
+        X_softmax = []
+        i = 0
+        for attr, num_classes in zip(domain.attrs, domain.shape):
+            logits = X_relaxed[:, i:i+num_classes]
+            i += num_classes
+
+            if num_classes > 1:
+                sum_r = jnp.sum(logits, axis=1)
+                temp = jnp.array([sum_r, 0.00001 * jnp.ones_like(sum_r)])
+                sum_r = jnp.max(temp, axis=0)
+                X_col = logits / sum_r.reshape(-1, 1)
+                X_softmax.append(X_col)
+            else:
+                X_softmax.append(logits)
+
+
+        X_softmax = jnp.concatenate(X_softmax, axis=1)
+        return X_softmax
+
+    @staticmethod
+    def get_sample_onehot(key, domain, X_relaxed: jnp.ndarray, num_samples=1) -> jnp.ndarray:
+
+        keys = jax.random.split(key, len(domain.attrs))
+        X_onehot = []
+        i = 0
+        for attr, num_classes, subkey in zip(domain.attrs, domain.shape, keys):
+            logits = X_relaxed[:, i:i+num_classes]
+            i += num_classes
+            if num_classes > 1:
+                row_one_hot = []
+                for _ in range(num_samples):
+
+                    sum_r = jnp.sum(logits, axis=1)
+                    temp = jnp.array([sum_r, 0.00001 * jnp.ones_like(sum_r)])
+                    sum_r = jnp.max(temp, axis=0)
+                    logits = logits / sum_r.reshape(-1, 1)
+
+                    subkey, subsubkey = jax.random.split(subkey, 2)
+                    categories = jax.random.categorical(subsubkey, jnp.log(logits), axis=1)
+                    onehot_col = jax.nn.one_hot(categories.astype(int), num_classes)
+                    row_one_hot.append(onehot_col)
+                X_onehot.append(jnp.concatenate(row_one_hot, axis=0))
+            else:
+                row_one_hot = []
+                # Add numerical column
+                for _ in range(num_samples):
+                    row_one_hot.append(logits)
+
+                X_onehot.append(jnp.concatenate(row_one_hot, axis=0))
+
+
+        X_onehot = jnp.concatenate(X_onehot, axis=1)
+        return X_onehot
+
+
+    def discretize(self, num_bins=10):
+        """
+        Discretize real-valued columns using an equal sized binning strategy
+        """
+        numerical_cols = self.domain.get_numeric_cols()
+        bin_edges = np.linspace(0, 1, num_bins+1)[1:]
+        cols = []
+        domain_shape = []
+        for col, shape in zip(self.domain.attrs, self.domain.shape) :
+            col_values = self.df[col].values
+            if col in numerical_cols:
+                discrete_col_values = np.digitize(col_values, bin_edges)
+                cols.append(discrete_col_values)
+                domain_shape.append(num_bins)
+            else:
+                cols.append(col_values)
+                domain_shape.append(shape)
+
+        discrete_domain = Domain(self.domain.attrs, domain_shape)
+        df = pd.DataFrame(np.column_stack(cols), columns=self.domain.attrs)
+        return Dataset(df, discrete_domain)
+
+    def normalize_real_values(self):
+        """
+        Map real-valued to [0, 1]
+        """
+        numerical_cols = self.domain.get_numeric_cols()
+        cols = []
+        col_range = {}
+        for col, shape in zip(self.domain.attrs, self.domain.shape):
+            col_values = self.df[col].values
+            if col in numerical_cols:
+                min_val = col_values.min()
+                max_val = col_values.max()
+                normed_col_values = (col_values-min_val) / (max_val - min_val)
+                cols.append(normed_col_values)
+                col_range[col] = (min_val, max_val)
+            else:
+                cols.append(col_values)
+        df = pd.DataFrame(np.column_stack(cols), columns=self.domain.attrs)
+        return Dataset(df, self.domain), col_range
+
+    def inverse_map_real_values(self, col_range: dict):
+        """
+        Map real-values to original range
+        :param col_range: A dictionary where each entry is the range of each real-valued column
+        """
+        numerical_cols = self.domain.get_numeric_cols()
+        cols = []
+        for col, shape in zip(self.domain.attrs, self.domain.shape):
+            col_values = np.array(self.df[col].values)
+            if col in numerical_cols:
+                min_val, max_val = col_range[col]
+                orginal_range_col_values = col_values * (max_val - min_val) + min_val
+                cols.append(orginal_range_col_values)
+            else:
+                cols.append(col_values)
+        df = pd.DataFrame(np.column_stack(cols), columns=self.domain.attrs)
+        return Dataset(df, self.domain)
+
+    @staticmethod
+    def to_numeric(data, numeric_features: list):
+        cols = []
+        domain_shape = []
+        """ when called on a discretized dataset it turns discretized features into numeric features """
+        for col, shape in zip(data.domain.attrs, data.domain.shape):
+            col_values = data.df_real[col].values
+
+            if col in numeric_features:
+                rand_values = np.random.rand(col_values.shape[0]) / shape
+                numeric_values = col_values / shape
+                numeric_values = numeric_values + rand_values
+                cols.append(numeric_values)
+                domain_shape.append(1)
+            else:
+                cols.append(col_values)
+                domain_shape.append(shape)
+        numeric_domain = Domain(data.domain.attrs, domain_shape)
+        df = pd.DataFrame(np.column_stack(cols), columns=data.domain.attrs)
+        return Dataset(df, numeric_domain)
+
+    def split(self, p, seed=0):
+        np.random.seed(seed)
+        msk = np.random.rand(len(self.df)) < p
+        train = self.df[msk]
+        test = self.df[~msk]
+        return Dataset(train, self.domain), Dataset(test, self.domain)
diff --git a/synth/snsynth/gsd/utils/domain.py b/synth/snsynth/gsd/utils/domain.py
new file mode 100644
index 00000000..f2ab4cd1
--- /dev/null
+++ b/synth/snsynth/gsd/utils/domain.py
@@ -0,0 +1,241 @@
+import chex
+import jax.numpy as jnp
+import jax
+import numpy as np
+import random
+from enum import Enum
+
+
+class DataType(Enum):
+    CATEGORICAL = 'string'
+    CONTINUOUS = 'float'
+    ORDINAL = 'int'
+
+
+class Domain:
+    def __init__(self, config: dict, null_cols: list = (), bin_edges: dict = None):
+        """ Construct a Domain object
+
+        :param attrs: a list or tuple of attribute names
+        :param shape: a list or tuple of domain sizes for each attribute
+        """
+        self.attrs = list(config.keys())
+        self.config = config
+
+
+        self.null_cols = null_cols
+        self._is_col_null = self._set_null_cols(null_cols)
+
+        # Edges of real-value features used for discretization.
+        self._bin_edges = bin_edges
+
+    def has_nulls(self, col):
+        return self._is_col_null[col]
+
+    def set_bin_edges(self, bin_edges):
+        self._bin_edges = bin_edges
+
+    def _set_null_cols(self, null_cols):
+        is_col_null = {}
+        for col in self.attrs:
+            is_col_null[col] = col in null_cols
+        return is_col_null
+
+    def get_bin_edges(self, col):
+        """ Returns: First argument is a boolean indicating if col has bin edges defined. """
+        if self._bin_edges is None:
+            return False, None
+        if col not in self._bin_edges:
+            return False, None
+        return True, jnp.array(self._bin_edges[col])
+
+    def project(self, attrs):
+        """ project the domain onto a subset of attributes
+
+        :param attrs: the attributes to project onto
+        :return: the projected Domain object
+        """
+        # return the projected domain
+        if type(attrs) is str:
+            attrs = [attrs]
+        # shape = tuple(self.config[a] for a in attrs)
+        new_config = {}
+        for a in attrs:
+            new_config[a] = self.config[a]
+        return Domain(new_config, null_cols=self.null_cols, bin_edges=self._bin_edges)
+
+    def axes(self, attrs):
+        """ return the axes tuple for the given attributes
+
+        :param attrs: the attributes
+        :return: a tuple with the corresponding axes
+        """
+        return tuple(self.attrs.index(a) for a in attrs)
+
+    def transpose(self, attrs):
+        """ reorder the attributes in the domain object """
+        return self.project(attrs)
+
+    def invert(self, attrs):
+        """ returns the attributes in the domain not in the list """
+        return [a for a in self.attrs if a not in attrs]
+
+    def contains(self, other):
+        """ determine if this domain contains another
+
+        """
+        return set(other.attrs) <= set(self.attrs)
+
+    def __contains__(self, attr):
+        return attr in self.attrs
+
+    def __getitem__(self, a):
+        """ return the size of an individual attribute
+        :param a: the attribute
+        """
+        return self.config[a]
+
+    def __iter__(self):
+        """ iterator for the attributes in the domain """
+        return self.attrs.__iter__()
+
+    def __len__(self):
+        return len(self.attrs)
+
+    def __eq__(self, other):
+        return self.config == other.config
+
+    def get_continuous_cols(self):
+        n_cols = []
+        for c in self.attrs:
+            if self.config[c]['type'] in ('float', 'continuous'):
+                n_cols.append(c)
+        return n_cols
+
+    def get_ordinal_cols(self):
+        n_cols = []
+        for c in self.attrs:
+            if self.config[c]['type'] in ('int', 'ordinal'):
+                n_cols.append(c)
+        return n_cols
+
+    def get_categorical_cols(self):
+        c_cols = []
+        for c in self.attrs:
+            if self.config[c]['type'] in ('string', 'categorical'):
+                c_cols.append(c)
+        return c_cols
+
+    def is_continuous(self, c):
+        return self.config[c]['type'] in ('float', 'continuous')
+
+    def is_categorical(self, c):
+        return self.config[c]['type'] in ('string', 'categorical')
+
+    def is_ordinal(self, c):
+        return self.config[c]['type'] in ('int', 'ordinal')
+
+    def size(self, att):
+        if self.is_continuous(att): return 1
+        return self.config[att]['size']
+
+    def get_attribute_indices(self, atts: list) -> chex.Array:
+        indices = []
+        for i, temp in enumerate(self.attrs):
+            if temp not in atts:
+                continue
+            indices.append(i)
+        return jnp.array(indices)
+
+    def get_attribute_index(self, att: str) -> int:
+        for i, temp in enumerate(self.attrs):
+            if temp == att: return i
+        return -1
+
+
+    def get_sampler(self, col, samples):
+
+        if self. config[col]['type'] in ('string', 'categorical'):
+            return self.get_categorical_sampler_jax(col, samples)
+        if self. config[col]['type'] in ('float', 'continuous'):
+            return self.get_numerical_sampler_jax(col, samples)
+        if self. config[col]['type'] in ('int', 'ordinal'):
+            return self.get_ordinal_sampler_jax(col, samples)
+
+    def nulls_fn(self):
+        def nulls(rng: chex.PRNGKey, col_values: chex.Array, num_nulls: int):
+            n = col_values.shape[0]
+            null_idx = jax.random.randint(rng, minval=0, maxval=n, shape=(num_nulls,))
+            col_values = col_values.astype(float).at[null_idx].set(jnp.nan)
+            return col_values
+        return nulls
+
+    def get_categorical_sampler_jax(self, col_name, samples):
+        size = self.size(col_name)
+        def sampling_fn(rng: chex.PRNGKey):
+            c = jax.random.randint(rng, shape=(samples,), minval=0, maxval=size)
+            return c
+        return sampling_fn
+
+    def get_numerical_sampler_jax(self, col_name, samples):
+        has_bin_edges, bin_edges = self.get_bin_edges(col_name)
+
+        if has_bin_edges:
+            def sampling_fn(rng: chex.PRNGKey):
+                rng_bin_0, rng_bin_1 = jax.random.split(rng, 2)
+                num_bins = bin_edges.shape[0]
+                bin_pos = jax.random.randint(rng_bin_0, shape=(samples,), minval=1, maxval=num_bins)
+                right_edge = bin_edges[bin_pos]
+                left_edge = bin_edges[bin_pos - 1]
+                u = jax.random.uniform(rng_bin_1, shape=(samples,))
+                c = (right_edge - left_edge) * u + left_edge
+                return c
+        else:
+            def sampling_fn(rng: chex.PRNGKey):
+                c = jax.random.uniform(rng, shape=(samples,))
+                return c
+        return sampling_fn
+
+    def get_ordinal_sampler_jax(self, col_name, samples):
+        size = self.size(col_name)
+        has_bin_edges, bin_edges = self.get_bin_edges(col_name)
+
+        if has_bin_edges:
+            def sampling_fn(rng: chex.PRNGKey):
+                # 1) Sample a bin
+                rng_bin_0, rng_bin_1 = jax.random.split(rng, 2)
+                num_bins = bin_edges.shape[0]
+                bin_pos = jax.random.randint(rng_bin_0, shape=(samples,), minval=1, maxval=num_bins)
+                # 2) Sample a value inside the interval edges
+                right_edge = jnp.ceil(bin_edges[bin_pos]).astype(int)
+                left_edge = jnp.ceil(bin_edges[bin_pos - 1]).astype(int)
+                c = jax.random.randint(rng_bin_1, minval=left_edge, maxval=right_edge, shape=(samples,))
+                return c
+        else:
+            def sampling_fn(rng: chex.PRNGKey):
+                return jax.random.randint(rng, shape=(samples,), minval=0, maxval=size)
+        return sampling_fn
+
+
+    def get_log_sizes(self):
+        # Get the cardinality or number of bins of each column
+        log_sizes = []
+        for att in self.attrs:
+            has_bin_edges, bin_edges = self.get_bin_edges(att)
+            if has_bin_edges:
+                num_bins = bin_edges.shape[0]
+                log_num_bins = int(np.log(num_bins) + 1)
+                log_sizes.append(log_num_bins)
+            else:
+                sz = int(np.log(self.size(att)) + 1)
+                log_sizes.append(sz)
+        return log_sizes
+
+    def sample_columns_based_on_logsize(self):
+        log_sizes = self.get_log_sizes()
+        col_ids = []
+        for i, (col, sz) in enumerate(zip(self.attrs, log_sizes)):
+            for _ in range(sz):
+                col_ids.append(i)
+        random.shuffle(col_ids)
+        return col_ids
diff --git a/synth/snsynth/gsd/utils/generate_sync_data.py b/synth/snsynth/gsd/utils/generate_sync_data.py
new file mode 100644
index 00000000..8413d279
--- /dev/null
+++ b/synth/snsynth/gsd/utils/generate_sync_data.py
@@ -0,0 +1,176 @@
+import jax
+import jax.numpy as jnp
+import numpy as np
+from typing import Callable
+import time
+from snsynth.gsd.utils import Dataset, Domain
+from snsynth.gsd.utils.genetic_strategy import (PopulationState, MutateStrategy, SwapStrategy,
+                                                CategoricalCrossoverStrategy, ContinuousDataStrategy)
+from snsynth.gsd.utils.mw_jit import get_sample_arms_fn, get_update_weights_fn
+
+AVAILABLE_GENETIC_OPERATORS = ['mutate', 'continuous', 'cross', 'swap']
+
+def generate(key,
+             domain: Domain,
+             N_prime: int,
+             num_generations: int,
+             private_statistics: jnp.ndarray,
+             statistics_fn: Callable,
+             genetic_operators=('mutate', ),
+             public_dataset: Dataset = None,
+             early_stop_threshold: float = 0.0001,
+             print_progress=False) -> Dataset:
+
+    strategies = [
+    ]
+    if 'mutate' in genetic_operators:
+        strategies.append(MutateStrategy(domain=domain, data_size=N_prime))
+    if 'continuous' in genetic_operators:
+        if len(domain.get_continuous_cols() + domain.get_ordinal_cols()) > 0:
+            strategies.append(ContinuousDataStrategy(domain=domain, data_size=N_prime))
+    if 'swap' in genetic_operators:
+        strategies.append(SwapStrategy(domain=domain, data_size=N_prime))
+    if 'cross' in genetic_operators:
+        if len(domain.get_categorical_cols()) > 0:
+            strategies.append(CategoricalCrossoverStrategy(domain=domain, data_size=N_prime, column_updates=1))
+        if len(domain.get_categorical_cols()) > 1:
+            strategies.append(CategoricalCrossoverStrategy(domain=domain, data_size=N_prime, column_updates=2))
+
+    if public_dataset is not None: assert N_prime == len(public_dataset.df), "Public data must have size=N_prime"
+
+    private_statistics = jnp.array(private_statistics)
+
+    early_stop = max(100, N_prime)
+    def fitness_fn(X):
+        fitness = jnp.linalg.norm(private_statistics - statistics_fn(X), ord=2) ** 2
+        return fitness
+    fitness_fn_vmap = jax.vmap(fitness_fn, in_axes=(0, ))
+
+    def update_fitness_fn(stats: jnp.ndarray, pop_state: PopulationState):
+        # 1) Update the statistics of this synthetic dataset
+        rem_row = pop_state.remove_row
+        add_row = pop_state.add_row
+        num_rows = rem_row.shape[0]
+        add_stats = (num_rows * statistics_fn(add_row))
+        rem_stats = (num_rows * statistics_fn(rem_row))
+        upt_sync_stat = stats.reshape(-1) + add_stats - rem_stats
+        fitness = jnp.linalg.norm(private_statistics - upt_sync_stat / N_prime, ord=2) ** 2
+        return fitness
+    update_fitness_fn_vmap = jax.vmap(update_fitness_fn, in_axes=(None, 0))
+    update_fitness_fn_jit = jax.jit(update_fitness_fn_vmap)
+
+    # INITIALIZE STATE
+    key, subkey = jax.random.split(key, 2)
+
+    state = strategies[0].initialize(subkey)
+
+    if public_dataset is not None:
+        init_sync = public_dataset.to_numpy()
+        temp = init_sync.reshape((1, init_sync.shape[0], init_sync.shape[1]))
+        new_archive = jnp.concatenate([temp, state.archive[1:, :, :]])
+        state = state.replace(archive=new_archive)
+
+    # Compute fitness of initial candidates
+    elite_fitness = fitness_fn_vmap(state.archive)
+
+    best_member_id = elite_fitness.argmin()
+    state = state.replace(
+        fitness=elite_fitness,
+        best_member=state.archive[best_member_id],
+        best_fitness=elite_fitness[best_member_id]
+    )
+
+    elite_stat = N_prime * statistics_fn(state.best_member)  # Statistics of best SD
+
+    def update_elite_stat(elite_stat_arg,
+                          replace_best,
+                          remove_row,
+                          add_row,
+                          ):
+        num_rows = remove_row.shape[0]
+
+        new_elite_stat = jax.lax.select(
+            replace_best,
+            elite_stat_arg
+            - (num_rows * statistics_fn(remove_row))
+            + (num_rows * statistics_fn(add_row)),
+            elite_stat_arg
+        )
+        return new_elite_stat
+    update_elite_stat_jit = jax.jit(update_elite_stat)
+
+    LAST_LAG_FITNESS = 1e9
+
+
+    # Set up strategy samplers
+    num_strategies = len(strategies)
+    update_weight = jax.jit(get_update_weights_fn(num_strategies))
+    sample = jax.jit(get_sample_arms_fn(num_strategies, early_stop+1))
+    strategy_rewards = []
+    key, key_sample = jax.random.split(key, 2)
+    weights = jnp.ones(num_strategies) / num_strategies
+    strategy_ids = list(np.array(sample(key_sample, weights)))
+
+    t0 = time.time()
+    keys = jax.random.split(key, num_generations)
+    for t, ask_subkey in enumerate(keys):
+        strategy_id = strategy_ids.pop()
+        g_strategy = strategies[strategy_id]
+
+        # ASK: Produce a set of new synthetic data candidates
+        population_state = g_strategy.ask(ask_subkey, state)
+
+        # FIT: Compute score of each synthetic dataset candidate
+        fitness = update_fitness_fn_jit(elite_stat, population_state)
+
+        # Update the best new candidates
+        best_new_candidates, best_candidate_fitness, remove_row, add_row = g_strategy.update_elite_candidates(state, population_state, fitness)
+
+        # TELL: Replace the best candidate
+        state, rep_best, best_id = g_strategy.tell(best_new_candidates, best_candidate_fitness, state)
+
+        # UPDATE: Update the statistics of the best synthetic datasets so far
+        elite_stat = update_elite_stat_jit(elite_stat, rep_best, remove_row, add_row).block_until_ready()
+
+        strategy_rewards.append([strategy_id, rep_best])
+
+        if t % early_stop == 0:
+            print_progress_fn(t, state.best_fitness, LAST_LAG_FITNESS, weights, time.time() - t0, print_progress)
+
+        # Early Stop:
+        if t % early_stop == 0 and t > 0:
+
+            key, key_sample = jax.random.split(key, 2)
+            rewards_jnp = jnp.array(strategy_rewards)
+            weights = update_weight(weights, rewards_jnp)
+            strategy_ids = list(np.array(sample(key_sample, weights)))
+            strategy_rewards = []           # reset strategy count
+
+            if check_early_stop(t, state.best_fitness, LAST_LAG_FITNESS, N_prime, early_stop_threshold, print_progress): break
+            LAST_LAG_FITNESS = state.best_fitness
+
+    sync_dataset = Dataset.from_numpy_to_dataset(domain, state.best_member)
+    return sync_dataset
+
+def check_early_stop(t, best_fitness, LAST_LAG_FITNESS, stop_early_min_generation, early_stop_threshold, print_progress: False):
+    if (t % stop_early_min_generation) > 0: return False
+    if (t <= stop_early_min_generation): return False
+    if t == 0: return False
+    loss_change = jnp.abs(LAST_LAG_FITNESS - best_fitness) / LAST_LAG_FITNESS
+    if loss_change < early_stop_threshold:
+        if print_progress:
+            print(f'\t\t ### Stop early at {t} ###')
+        return True
+    return False
+
+def print_progress_fn(t, best_fitness, LAST_LAG_FITNESS,  strategy_profile: jnp.ndarray, time, print_progress: False):
+    if print_progress:
+        loss_change = jnp.abs(LAST_LAG_FITNESS - best_fitness) / LAST_LAG_FITNESS
+        print(f'Gen={t:>10}: '
+              f'fitness={best_fitness:>10.9}. '
+              f'fitness change={loss_change:.8f}',
+              f' Strategy weights: ',
+              strategy_profile.round(3),
+              f'time={time:<5.2f}(s)')
+
+
diff --git a/synth/snsynth/gsd/utils/genetic_strategy.py b/synth/snsynth/gsd/utils/genetic_strategy.py
new file mode 100644
index 00000000..d5132927
--- /dev/null
+++ b/synth/snsynth/gsd/utils/genetic_strategy.py
@@ -0,0 +1,332 @@
+import jax.numpy as jnp
+import jax
+import chex
+from flax import struct
+from snsynth.gsd.utils import Dataset, Domain
+from functools import partial
+from typing import Tuple
+
+
+@struct.dataclass
+class EvoState:
+    archive: chex.Array
+    fitness: chex.Array
+    best_member: chex.Array
+    best_fitness: float = jnp.finfo(jnp.float64).max
+
+
+@struct.dataclass
+class PopulationState:
+    # X: chex.Array
+    row_id: chex.Array
+    remove_row: chex.Array
+    add_row: chex.Array
+
+
+def get_best_fitness_member(
+    x: chex.Array, fitness: chex.Array, state
+) -> Tuple[chex.Array, chex.Array, chex.Array, chex.Array]:
+    best_in_gen = jnp.argmin(fitness)
+    best_in_gen_fitness, best_in_gen_member = (
+        fitness[best_in_gen],
+        x[best_in_gen],
+    )
+    replace_best = best_in_gen_fitness < state.best_fitness
+    best_fitness = jax.lax.select(
+        replace_best, best_in_gen_fitness, state.best_fitness
+    )
+    best_member = jax.lax.select(
+        replace_best, best_in_gen_member, state.best_member
+    )
+    return best_member, best_fitness, replace_best, best_in_gen
+
+
+class SDStrategy:
+    def __init__(self, domain: Domain,
+                 data_size: int,
+                 population_size: int = 50,
+                 elite_size: int = 5,
+                 debugging=False):
+
+        self.population_size = population_size
+        self.elite_size = elite_size
+        self.data_size = data_size
+
+        self.domain = domain
+        self.num_devices = jax.device_count()
+        self.domain = domain
+        self.debugging = debugging
+        self.update_candidate_vmap = jax.vmap(update_candidate, in_axes=(None, 0, 0))
+
+    def initialize(
+            self, rng: chex.PRNGKey
+    ) -> EvoState:
+        """`initialize` the evolution strategy."""
+        init_x = self.initialize_elite_population(rng)
+        state = EvoState(
+            archive=init_x.astype(jnp.float64),
+            fitness=jnp.zeros(self.elite_size) + jnp.finfo(jnp.float64).max,
+            best_member=init_x[0].astype(jnp.float64),
+            best_fitness=jnp.finfo(jnp.float64).max
+        )
+
+        return state
+
+    @partial(jax.jit, static_argnums=(0,))
+    def initialize_elite_population(self, rng: chex.PRNGKey):
+        d = len(self.domain.attrs)
+        pop = Dataset.synthetic_jax_rng(self.domain, self.elite_size * self.data_size, rng)
+        initialization = pop.reshape((self.elite_size, self.data_size, d))
+        return initialization
+
+    @partial(jax.jit, static_argnums=(0,))
+    def initialize_random_population(self, rng: chex.PRNGKey):
+        pop = Dataset.synthetic_jax_rng(self.domain, self.population_size, rng)
+        return pop
+
+    def ask(self, rng: chex.PRNGKey, state: EvoState):
+        pass
+
+    @partial(jax.jit, static_argnums=(0,))
+    def update_elite_candidates(self,
+            state: EvoState, # best candidate before updates
+            population_delta: PopulationState,  # candidate deltas
+            fitness: chex.Array):
+        X = state.best_member
+        idx = jnp.argsort(fitness)[0]
+        fitness_elite = fitness[idx].reshape((1,))
+
+        row_idx = population_delta.row_id[idx]
+        remove_row = population_delta.remove_row[idx]
+        add_row = population_delta.add_row[idx]
+        X_elite_upt = update_candidate(X, row_idx, add_row).reshape((1, self.data_size, -1))
+        return X_elite_upt, fitness_elite, remove_row, add_row
+
+    @partial(jax.jit, static_argnums=(0,))
+    def tell(
+            self,
+            x: chex.Array, # Candidates before updates
+            fitness: chex.Array,
+            state: EvoState,
+    ) -> Tuple[EvoState, chex.Array, chex.Array]:
+        """`tell` performance data for strategy state update."""
+        state = self.tell_strategy(x, fitness, state)
+        best_member, best_fitness, replace_best, best_in_gen = get_best_fitness_member(x, fitness, state)
+        return state.replace(
+            best_member=best_member,
+            best_fitness=best_fitness,
+        ), replace_best, best_in_gen
+
+    def tell_strategy(
+            self,
+            x: chex.Array,
+            fitness: chex.Array,
+            state: EvoState,
+    ) -> EvoState:
+        fitness_concat = jnp.concatenate([state.fitness, fitness])
+        idx = jnp.argsort(fitness_concat)[0: self.elite_size]
+
+        solution_concat = jnp.concatenate([state.archive, x])
+
+        new_fitness = fitness_concat[idx]
+        new_archive = solution_concat[idx]
+
+        new_state = state.replace(
+            fitness=new_fitness, archive=new_archive,
+        )
+
+        return new_state
+
+
+####################################################################################################
+####################################################################################################
+####################################################################################################
+
+class MutateStrategy(SDStrategy):
+    def __init__(self, domain: Domain, data_size: int, population_size: int = 50, elite_size: int = 5, debugging=False):
+        super().__init__(domain, data_size, population_size, elite_size, debugging)
+
+        self.samplers = [jax.jit(self.domain.get_sampler(col, self.population_size)) for col in self.domain.attrs]
+        self.column_ids = self.domain.sample_columns_based_on_logsize() # Mutate columns based on their cardinality
+        self.sample_id = 0
+
+        def muta_fn(
+                X0,
+                rng: chex.PRNGKey,
+                mut_col: chex.Array,
+                new_col_value: chex.Array
+        ) -> PopulationState:
+            n, d = X0.shape
+            rem_row_idx = jax.random.randint(rng, minval=0, maxval=n, shape=(1,))
+            removed_rows_muta = X0[rem_row_idx, :]
+            added_rows_muta = removed_rows_muta.at[0, mut_col].set(new_col_value)
+            pop_state = PopulationState(row_id=rem_row_idx, remove_row=removed_rows_muta, add_row=added_rows_muta)
+            return pop_state
+        self.muta_vmap = jax.jit(jax.vmap(muta_fn, in_axes=(None, 0, 0, 0)))
+
+    def ask(self, rng: chex.PRNGKey, state: EvoState):
+        self.sample_id = (self.sample_id + 1) % len(self.column_ids)
+        column = self.column_ids[self.sample_id]
+        column_values = self.samplers[column](rng)
+        pop = self.ask_strategy(rng, state, column, column_values)
+        return pop
+
+
+    @partial(jax.jit, static_argnums=(0,))
+    def ask_strategy(self, rng_muta: chex.PRNGKey, state: EvoState, i: int, column_values: chex.Array):
+        rng_muta, rng_mate, rng_swap = jax.random.split(rng_muta, 3)
+        # Mutation
+        column_id = (jnp.ones(shape=(self.population_size)) * i).astype(int)
+        rng_muta_split = jax.random.split(rng_muta, self.population_size)
+        pop_muta = self.muta_vmap(state.best_member, rng_muta_split, column_id, column_values)
+
+        return pop_muta
+
+
+class ContinuousDataStrategy(SDStrategy):
+    def __init__(self, domain: Domain, data_size: int, population_size: int = 50, elite_size: int = 5, debugging=False):
+        super().__init__(domain, data_size, population_size, elite_size, debugging)
+
+        self.continuous_columns = domain.get_continuous_cols() + domain.get_ordinal_cols()
+        self.num_cont_cols = len(self.continuous_columns)
+        self.cont_col_indices = domain.get_attribute_indices(self.continuous_columns)
+        self.column_sizes = [domain.size(col) for col in self.continuous_columns]
+        self.cont_col_id = -1
+
+        self.quantiles = jnp.linspace(0, 1, 32)
+
+        def muta_fn(
+                X0,
+                rng: chex.PRNGKey,
+                mut_col: chex.Array,
+                column_quantiles: chex.Array
+        ) -> PopulationState:
+            rng1, rng2, rng3 = jax.random.split(rng, 3)
+            n, d = X0.shape
+            rem_row_idx = jax.random.randint(rng1, minval=0, maxval=n, shape=(1,))
+            removed_rows_muta = X0[rem_row_idx, :]
+
+            quantile_pos = jax.random.randint(rng2, minval=0, maxval=column_quantiles.shape[0]-1, shape=(1, ))[0]
+            new_value_lower = column_quantiles[quantile_pos]
+            new_value_upper = column_quantiles[quantile_pos+1]
+            new_col_value = jax.random.uniform(rng3, minval=new_value_lower, maxval=new_value_upper)
+
+            added_rows_muta = removed_rows_muta.at[0, mut_col].set(new_col_value)
+            pop_state = PopulationState(row_id=rem_row_idx, remove_row=removed_rows_muta, add_row=added_rows_muta)
+            return pop_state
+        self.muta_vmap = jax.jit(jax.vmap(muta_fn, in_axes=(None, 0, None, None)))
+
+    @partial(jax.jit, static_argnums=(0,))
+    def compute_quantiles(self, values, column_size):
+        thresholds = jnp.concatenate([jnp.zeros((1,)),
+                                      jnp.quantile(values, q=self.quantiles),
+                                      column_size * jnp.ones((1,))])
+        return thresholds
+
+    def ask(self, rng: chex.PRNGKey, state: EvoState):
+        self.cont_col_id = (self.cont_col_id + 1) % self.num_cont_cols
+        column = self.cont_col_indices[self.cont_col_id]
+        column_size = self.column_sizes[self.cont_col_id]
+        pop = self.ask_strategy(rng, state, column, column_size)
+        return pop
+
+
+    @partial(jax.jit, static_argnums=(0,))
+    def ask_strategy(self, rng_muta: chex.PRNGKey, state: EvoState, column_id: int, column_size: int):
+
+        # Mutation
+        thresholds = self.compute_quantiles(state.best_member[:, column_id], column_size)
+        rng_muta_split = jax.random.split(rng_muta, self.population_size)
+        pop_muta = self.muta_vmap(state.best_member, rng_muta_split, column_id, thresholds)
+
+        return pop_muta
+
+
+
+class SwapStrategy(SDStrategy):
+    def __init__(self, domain: Domain, data_size: int, population_size: int = 50, elite_size: int = 5, debugging=False):
+        super().__init__(domain, data_size, population_size, elite_size, debugging)
+
+        self.num_colums = len(domain.attrs)
+        self.column_count = -1
+        def swap_fn(
+                X0,
+                rng: chex.PRNGKey,
+                mut_col: chex.Array,
+        ) -> PopulationState:
+
+            n, d = X0.shape
+            rem_row_idx = jax.random.randint(rng, minval=0, maxval=n, shape=(2,))
+            removed_rows_muta = X0[rem_row_idx, :]
+            value_1, value_2 = X0[rem_row_idx, mut_col]
+
+            # Swap values
+            added_rows_muta = removed_rows_muta.at[0, mut_col].set(value_2)
+            added_rows_muta = added_rows_muta.at[1, mut_col].set(value_1)
+
+            pop_state = PopulationState(row_id=rem_row_idx, remove_row=removed_rows_muta, add_row=added_rows_muta)
+            return pop_state
+
+        self.operator_vmap = jax.jit(jax.vmap(swap_fn, in_axes=(None, 0, 0)))
+
+    def ask(self, rng: chex.PRNGKey, state: EvoState):
+        self.column_count = (self.column_count + 1) % self.num_colums
+        pop = self.ask_strategy(rng, state, self.column_count)
+        return pop
+
+    @partial(jax.jit, static_argnums=(0,))
+    def ask_strategy(self, rng: chex.PRNGKey, state: EvoState, i: int):
+        column_id = (jnp.ones(shape=(self.population_size)) * i).astype(int)
+        rng_muta_split = jax.random.split(rng, self.population_size)
+        pop_muta = self.operator_vmap(state.best_member, rng_muta_split, column_id)
+
+        return pop_muta
+
+
+
+class CategoricalCrossoverStrategy(SDStrategy):
+    def __init__(self, domain: Domain, data_size: int, population_size: int = 50, elite_size: int = 5, debugging=False,
+                 column_updates=1):
+        super().__init__(domain, data_size, population_size, elite_size, debugging)
+
+        self.column_updates = column_updates
+        self.num_colums = len(domain.attrs)
+        self.column_count = 0
+        cat_idx = jnp.array(domain.get_attribute_indices(domain.get_categorical_cols()).astype(int))
+
+        def mate(
+                X0, rng: chex.PRNGKey,
+        ) -> PopulationState:
+            n, d = X0.shape
+            rng, rng1, rng2, rng3, rng_normal = jax.random.split(rng, 5)
+            rem_row_idx = jax.random.randint(rng1, minval=0, maxval=n, shape=(1,))
+            removed_rows_mate = X0[rem_row_idx, :]
+            # Copy this row onto the dataset
+            add_rows_idx = jax.random.randint(rng2, minval=0, maxval=n, shape=(1,))
+            new_rows = X0[add_rows_idx, :]
+            cat_col_pos = jax.random.randint(rng3, minval=0, maxval=cat_idx.shape[0], shape=(self.column_updates,))
+            upt_col_idx = cat_idx[cat_col_pos]
+            added_rows_mate = removed_rows_mate.at[0, upt_col_idx].set(new_rows[0, upt_col_idx])
+            pop_state = PopulationState(row_id=rem_row_idx, remove_row=removed_rows_mate, add_row=added_rows_mate)
+            return pop_state
+
+        self.operator_vmap = jax.jit(jax.vmap(mate, in_axes=(None, 0)))
+
+    def ask(self, rng: chex.PRNGKey, state: EvoState):
+        pop = self.ask_strategy(rng, state)
+        return pop
+
+    @partial(jax.jit, static_argnums=(0,))
+    def ask_strategy(self, rng: chex.PRNGKey, state: EvoState):
+        rng_split = jax.random.split(rng, self.population_size)
+        pop = self.operator_vmap(state.best_member, rng_split)
+        return pop
+
+
+
+
+def update_candidate(X, row_id, add_row):
+    X_new = X.at[row_id, :].set(add_row)
+    return X_new
+
+
diff --git a/synth/snsynth/gsd/utils/mw_jit.py b/synth/snsynth/gsd/utils/mw_jit.py
new file mode 100644
index 00000000..67be7e7b
--- /dev/null
+++ b/synth/snsynth/gsd/utils/mw_jit.py
@@ -0,0 +1,28 @@
+import chex
+import jax.numpy as jnp
+import jax
+
+
+def get_update_weights_fn(num_arms, learning_rate=0.1):
+    def update_weights(weights: chex.Array, reward: chex.Array):
+        i = reward[0]
+        p = weights[i] * 0.95 + 0.05 * ( 1/ num_arms)
+        r = reward[1] / p
+        current_weight = weights[i]
+        weights = weights.at[i].set(current_weight * jnp.exp(learning_rate * r))
+        weights_normed = weights / weights.sum()
+        return weights_normed, None
+
+    def update_weights_fn(weights, rewards):
+        updated_weights = jax.lax.scan(update_weights, weights, rewards)[0]
+        return updated_weights
+
+    return update_weights_fn
+
+def get_sample_arms_fn(num_arms, num_samples):
+    def sample_arms(rng: chex.PRNGKey, weights: chex.Array):
+
+        weights_normed_mix = weights * 0.95 + (1/num_arms) * 0.05
+        a = jax.random.choice(rng, num_arms, replace=True, shape=(num_samples, ), p=weights_normed_mix)
+        return a
+    return sample_arms
\ No newline at end of file
diff --git a/synth/snsynth/gsd/utils/private_quantiles.py b/synth/snsynth/gsd/utils/private_quantiles.py
new file mode 100644
index 00000000..b6356cbf
--- /dev/null
+++ b/synth/snsynth/gsd/utils/private_quantiles.py
@@ -0,0 +1,81 @@
+
+
+from snsynth.utils import gaussian_noise, cdp_rho
+from jax.config import config; config.update("jax_enable_x64", True)
+import numpy as np
+import pandas as pd
+from snsynth.gsd.utils import Dataset, Domain
+import itertools
+
+from snsynth.gsd.utils.utils import get_sigma, _divide_privacy_budget
+
+
+def get_private_quantiles(data_df: pd.Series, quantiles, tree_height: int = 20, rho: float = None,
+                              range_size=1, verbose=False) -> (dict, list):
+    """
+    Assumes that minimum value is 0
+    """
+    min_bin_size = 1 / 32
+
+
+    N = len(data_df)
+    sigma = get_sigma(rho, sensitivity=np.sqrt(2 * tree_height) / N)
+    values: np.array
+    values = data_df.values
+    hierarchical_thresholds = {}
+    thresholds = [0, range_size/2, range_size]
+    total_levels = tree_height
+    for i in range(0, tree_height):
+        level_split = False
+        thresholds.sort()
+
+        # Compute stats for this level based on 'thresholds'
+        thresholds_temp = thresholds.copy()
+        thresholds_temp[-1] += 1e-6
+        stats = np.histogramdd(values, [thresholds_temp])[0].flatten() / N
+        stats_priv = list(np.array(stats) + gaussian_noise(sigma, size=len(stats)))
+
+        # Record stats and thresholds
+        hierarchical_thresholds[i] = {'stats': stats_priv, 'bins': np.array(thresholds_temp)}
+
+        for thres_id in range(1, len(thresholds)):
+            left = thresholds[thres_id-1]
+            right = thresholds[thres_id]
+            interval_stat = stats_priv[thres_id-1]
+
+            if (i <= 1) or (interval_stat > min_bin_size + 2*sigma):
+                # Split bin if it contains enough information.
+                mid = (right + left) / 2
+                thresholds.append(mid)
+                level_split = True
+
+        if not level_split:
+            # Stop splitting intervals
+            total_levels = i
+            break
+
+    hierarchical_thresholds['levels'] = total_levels
+    return hierarchical_thresholds, thresholds
+
+
+
+if __name__ == "__main__":
+
+
+    N = 1000
+    df = pd.Series( (0.05 * np.random.randn(N)+0.5))
+
+    real_q = np.quantile(df.values, q=np.linspace(0, 1, 32))
+    _, q = get_private_quantiles(df, quantiles=32, rho=1)
+
+
+    print(len(q))
+    print(real_q)
+    print(q)
+
+    real_stats = np.histogramdd(df.values, [real_q])[0].flatten() / N
+    priv_stats = np.histogramdd(df.values, [q])[0].flatten() / N
+
+    print(real_stats.max())
+    print(priv_stats.max())
+    print()
diff --git a/synth/snsynth/gsd/utils/statistics.py b/synth/snsynth/gsd/utils/statistics.py
new file mode 100644
index 00000000..98a2179f
--- /dev/null
+++ b/synth/snsynth/gsd/utils/statistics.py
@@ -0,0 +1,273 @@
+from snsynth.utils import gaussian_noise
+from jax.config import config; config.update("jax_enable_x64", True)
+import numpy as np
+import jax
+import jax.numpy as jnp
+import chex
+import pandas as pd
+from snsynth.gsd.utils import Dataset, Domain
+import itertools
+from snsynth.gsd.utils.utils import get_sigma, _divide_privacy_budget
+
+
+def get_thresholds_categorical(data_df: pd.Series,
+                               size,
+                               rho: float = None):
+    """
+    TODO: Add a maximum size parameter for extremely large cardinality features
+    """
+    N = len(data_df)
+    sigma = get_sigma(rho, sensitivity=np.sqrt(2) / N)
+    values = data_df.values
+
+    bin_edges = np.linspace(0, size, size + 1) - 0.001
+    hist, b_edges = np.histogramdd(values, bins=[bin_edges])
+    stats = hist.flatten() / N
+    stats_noised = stats + gaussian_noise(sigma=sigma, size=hist.shape[0])
+
+    thresholds = {0: {'stats': stats_noised, 'bins': bin_edges}, 'tree_height' : 1}
+    return thresholds
+
+
+
+def _get_stats_fn(k, query_params):
+    these_queries = jnp.array(query_params, dtype=jnp.float64)
+
+    def answer_fn(x_row: chex.Array, query_single: chex.Array):
+        I = query_single[:k].astype(int)
+        U = query_single[k:2 * k]
+        L = query_single[2 * k:3 * k]
+        t1 = (x_row[I] < U).astype(int)
+        t2 = (x_row[I] >= L).astype(int)
+        t3 = jnp.prod(jnp.array([t1, t2]), axis=0)
+        answers = jnp.prod(t3)
+        return answers
+
+    temp_stat_fn = jax.vmap(answer_fn, in_axes=(None, 0))
+
+    def scan_fun(carry, x):
+        return carry + temp_stat_fn(x, these_queries), None
+
+    def stat_fn(X):
+        out = jax.eval_shape(temp_stat_fn, X[0], these_queries)
+        stats = jax.lax.scan(scan_fun, jnp.zeros(out.shape, out.dtype), X)[0]
+        stats = jnp.round(stats)
+        return stats / X.shape[0]
+
+    return stat_fn
+
+
+def _get_density_fn(query_params):
+    these_queries = jnp.array(query_params, dtype=jnp.float64)
+
+    def answer_fn(x_row: chex.Array, query_single: chex.Array):
+        I = query_single[0].astype(int)
+        threshold = query_single[1].astype(float)
+        answer = (x_row[I] < threshold).astype(int)
+        return answer
+
+    temp_stat_fn = jax.vmap(answer_fn, in_axes=(None, 0))
+
+    def scan_fun(carry, x):
+        return carry + temp_stat_fn(x, these_queries), None
+
+    def stat_fn(X):
+        out = jax.eval_shape(temp_stat_fn, X[0], these_queries)
+        stats = jax.lax.scan(scan_fun, jnp.zeros(out.shape, out.dtype), X)[0]
+        stats = jnp.round(stats)
+        return stats / X.shape[0]
+
+    return stat_fn
+
+
+def _get_query_params(data, indices: list, marginal_bin_edges: list) -> (list, list):
+    # indices = [data.domain.get_attribute_index(feature) for feature in features]
+    answer_vectors = []
+    query_params = []
+    values = data.to_numpy_np()
+    N = values.shape[0]
+    bin_indices = [np.arange(bins.shape[0])[1:] for bins in marginal_bin_edges]
+    bin_positions = list(itertools.product(*bin_indices))
+    hist, b_edges = np.histogramdd(values[:, indices], bins=marginal_bin_edges)
+    stats = hist.flatten() / N
+    k = len(marginal_bin_edges)
+    for stat_id in np.arange(stats.shape[0]):
+        bins_idx: tuple
+        bins_idx = bin_positions[stat_id]
+        lower = []
+        upper = []
+        for i in range(k):
+            bin_id: int
+            bin_id = bins_idx[i]
+            lower_threshold = marginal_bin_edges[i][bin_id - 1]
+            upper_threshold = marginal_bin_edges[i][bin_id]
+            lower.append(lower_threshold)
+            upper.append(upper_threshold)
+        query_params.append(np.concatenate((np.array(indices).astype(int), np.array(upper), np.array(lower))))
+        answer_vectors.append(stats[stat_id])
+    return answer_vectors, query_params
+
+####################################################################################################
+
+def _get_bin_edges(domain, tree_height):
+    bins = {}
+
+    for col in domain.attrs:
+        bins[col] = {}
+        if domain.is_categorical(col):
+            size = domain.size(col)
+            bins[col] = {'tree_height': 1, 0: np.linspace(0, size, size + 1) - 0.001}
+
+        if domain.is_ordinal(col):
+            size = domain.size(col)
+            ord_col_tree_height = min(int(np.log2(size)+1), tree_height)
+            bins[col] = {'tree_height': ord_col_tree_height}
+            for h in range(ord_col_tree_height):
+                h_bins = 2**(h+1)
+                bins[col][h] = np.linspace(0, size, h_bins + 1)
+                bins[col][h][-1] += 1e-6
+
+        if domain.is_continuous(col):
+            bins[col] = {'tree_height': tree_height}
+            for h in range(tree_height):
+                h_bins = 2 ** (h + 1)
+                bins[col][h] = np.linspace(0, 1, h_bins + 1)
+                bins[col][h][-1] += 1e-6
+    return bins
+
+
+def get_quantiles(bins: dict, num_quantiles: int):
+    tree_height = bins['tree_height']
+    all_thresholds = bins['bins'][tree_height-1][0]
+
+    num_thresholds = all_thresholds.shape[0]
+    num_bins = int(np.log2(num_thresholds-1))
+    threshold_density = []
+    threshold = []
+    for i, thres in enumerate(all_thresholds[:-1]):
+        if i == 0: continue
+        binarystring = bin(i)
+        prefix_len = num_bins - (len(binarystring)-2)
+        binarystring = prefix_len * "0" + binarystring[2:]
+        sum = 0
+        pos = 0
+        for tree_level, b in enumerate(binarystring):
+            if b == '1':
+                sum += bins['stats'][tree_level][pos]
+                pos = 2 * pos + 2
+            else:
+                pos = 2 * pos
+        # sum = np.clip(sum, 0, 1)
+        threshold.append(thres)
+        threshold_density.append(sum)
+
+    # Find quantiles
+    quantile = 1 / num_quantiles
+    last_density = 0
+    approx_quantiles = [0]
+    densities = [0]
+    for j in range(len(threshold_density)-1):
+        edge = threshold[j]
+        stat_lo = threshold_density[j]
+        stat_hi = threshold_density[j+1]
+        if (stat_hi - last_density) > quantile:
+            approx_quantiles.append(edge)
+            densities.append(stat_lo)
+            last_density = stat_lo
+
+    return approx_quantiles, densities, threshold, threshold_density
+
+
+def _get_height_edges(column_bin_edges: dict, h):
+    max_level = column_bin_edges['tree_height'] - 1
+    return column_bin_edges[min(max_level, h)]
+
+def get_k_way_marginals(domain: Domain, k: int, conditional_column: list=()):
+
+    features = domain.get_continuous_cols() + domain.get_ordinal_cols() + domain.get_categorical_cols()
+    for c in conditional_column:
+        features.remove(c)
+    marginals_list = []
+    for marginal in [list(idx) for idx in itertools.combinations(features, k)]:
+        marginals_list.append(marginal)
+    return marginals_list
+
+def check_marginals_lits_size(marginals_list):
+    # Marginals must have the same size
+    for m in marginals_list:
+        assert len(m) == len(marginals_list[0])
+
+
+def _get_mixed_marginal_fn(data: Dataset,
+                           marginals_list: list[tuple],
+                           bin_edges: dict,
+                           maximum_size: int = None,
+                           rho: float = None,
+                           output_query_params: bool = False,
+                           store_marginal_stats: bool = False,
+                           verbose=False):
+    domain = data.domain
+    if marginals_list is None:
+        # Default statistics is the 2-way marginals
+        marginals_list = get_k_way_marginals(domain, k=2)
+    check_marginals_lits_size(marginals_list)
+
+    total_marginals = len(marginals_list)
+    k_total = len(marginals_list[0])
+
+    # Divide privacy budget and query capacity
+    N = len(data.df)
+    rho_split = _divide_privacy_budget(rho, total_marginals)
+    query_params_total = []
+    private_stats_total = []
+
+    marginal_info = {}
+    for marginal in marginals_list:
+        # cond_marginal = list(marginal) + list(conditional_column)
+
+        num_col_tree_height = [bin_edges[col]['tree_height'] for col in marginal]
+        max_height = max(num_col_tree_height)
+        marginal_max_size = maximum_size // (total_marginals) if maximum_size else None
+        # marginal_max_size = min(marginal_max_size, N) if marginal_max_size else None
+        marginal_info[tuple(marginal)] = {'tree_height': max_height, 'bins': {}, 'stats': {}}
+
+        rho_split_level = _divide_privacy_budget(rho_split, max_height)  # Divide budget between tree_height
+
+        sigma = get_sigma(rho_split_level, sensitivity=np.sqrt(2) / N)
+        if verbose:
+            print('Marginal=', marginal, f'. Sigma={sigma:.4f}. Top.Level={max_height}. Max.Size={marginal_max_size}')
+
+        # Get the answers and select the bins with most information
+        # indices = domain.get_attribute_indices(marginal)
+        indices = [domain.get_attribute_index(col_name) for col_name in marginal]
+
+        marginal_stats = []
+        marginal_params = []
+        for L in range(max_height):
+            kway_edges = [_get_height_edges(bin_edges[col_name], L) for col_name in marginal]
+            stats, query_params = _get_query_params(data, indices, kway_edges)
+            priv_stats = np.array(stats)
+            # if sigma > 0: priv_stats = np.clip(priv_stats + gaussian_noise(sigma=sigma, size=len(stats)), 0, 1) # Add DP
+            if sigma > 0: priv_stats = priv_stats + gaussian_noise(sigma=sigma, size=len(stats)) # Add DP
+
+            if store_marginal_stats:
+                marginal_info[tuple(marginal)]['bins'][L] = kway_edges
+                marginal_info[tuple(marginal)]['stats'][L] = list(priv_stats)
+
+            marginal_stats += list(priv_stats)
+            marginal_params += query_params
+
+        private_stats_total += marginal_stats
+        query_params_total += marginal_params
+
+    if verbose:
+        print(f'\tTotal size={len(private_stats_total)}')
+
+    if store_marginal_stats:
+        return private_stats_total, _get_stats_fn(k_total, query_params_total), marginal_info
+    if output_query_params:
+        return private_stats_total, _get_stats_fn(k_total, query_params_total), k_total, query_params_total
+    return private_stats_total, _get_stats_fn(k_total, query_params_total)
+
+
+
diff --git a/synth/snsynth/gsd/utils/test/__init__.py b/synth/snsynth/gsd/utils/test/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/synth/snsynth/gsd/utils/test/datasets.json b/synth/snsynth/gsd/utils/test/datasets.json
new file mode 100644
index 00000000..b9add55a
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/datasets.json
@@ -0,0 +1,52 @@
+{
+    "nursery": {
+        "name": "nursery",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/nursery/nursery.data",
+        "categorical_columns": "parents,has_nurs,form,children,housing,finance,social,health",
+        "columns":"parents,has_nurs,form,children,housing,finance,social,health",
+        "target": "health",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "f"
+    },
+    "wine": {
+        "name": "wine",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv",
+        "categorical_columns": "quality",
+        "columns":"fixed,volatile,citric,residual,chlorides,free,total,density,ph,sulphates,alc,quality",
+        "target": "quality",
+        "header": "t",
+        "sep": ";",
+        "imbalanced": "f"
+    },
+    "mushroom": {
+        "name": "mushroom",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/mushroom/agaricus-lepiota.data",
+        "categorical_columns": "edible,cap-shape,cap-surface,cap-color,bruises,odor,gill-attach,gill-spacing,gill-size,gill-color,stalk-shape,stalk-root,stalk-sar,stalk-sbr,stalk-car,stalk-cbr,veil-type,veil-color,ring-number,ring-type,spore-print,population,habitat",
+"columns":"edible,cap-shape,cap-surface,cap-color,bruises,odor,gill-attach,gill-spacing,gill-size,gill-color,stalk-shape,stalk-root,stalk-sar,stalk-sbr,stalk-car,stalk-cbr,veil-type,veil-color,ring-number,ring-type,spore-print,population,habitat",
+        "target": "edible",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "f"
+    },
+    "car": {
+        "name": "car",
+        "url": "https://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data",
+        "categorical_columns": "buying,maint,doors,persons,lug_boot,safety,class",
+"columns":"buying,maint,doors,persons,lug_boot,safety,class",
+        "target": "class",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "f"
+    },
+    "adult": {
+        "name": "adult",
+        "url": "http://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data",
+        "categorical_columns": "workclass,education,marital-status,occupation,relationship,race,sex,native-country,earning-class",
+        "columns":"age,workclass,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,earning-class",
+        "target": "earning-class",
+        "header": "f",
+        "sep": ",",
+        "imbalanced": "t"
+    }
+}
\ No newline at end of file
diff --git a/synth/snsynth/gsd/utils/test/debug.py b/synth/snsynth/gsd/utils/test/debug.py
new file mode 100644
index 00000000..797e87e2
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/debug.py
@@ -0,0 +1,45 @@
+import os
+import numpy as np
+from snsynth.gsd import GSDSynthesizer
+from load_data import load_data
+from sklearn.model_selection import train_test_split
+
+
+if __name__ == "__main__":
+    adult_path = 'adult.csv'
+    datasets = load_data(['adult'])
+
+    adult_df = datasets['adult']['data']
+
+    target = datasets['adult']['target']
+    categorical_columns = datasets['adult']['categorical_columns'].split(',')
+    print(adult_df.columns)
+    print(categorical_columns)
+
+    # Create config file. Note that we know the lower bound of each ordinal feature is 0.
+    ordinal_columns = ['age', 'education-num', 'capital-gain', 'capital-loss', 'hours-per-week', 'fnlwgt']
+    continuous_columns = []
+    config = {}
+    for c in adult_df.columns:
+        if c in categorical_columns:
+            config[c] = {'type': 'string'}
+        else:
+            config[c] = {'type': 'int', 'lower': 0, 'upper': adult_df[c].max()}
+
+    # Split into train/test sets for machine learning evaluation.
+    adult_df_train, adult_df_test = train_test_split(adult_df, test_size=0.2)
+    # Still need to implement
+    epsilon = 10.0
+
+    synth = GSDSynthesizer(epsilon, 1e-5, tree_height=10, verbose=True)
+    synth.fit(adult_df_train, meta_data=config,
+              early_stop_threshold=0.001,
+              N_prime=1000)
+
+    max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+    print(f'Statistical error:', max_error)
+
+    adult_sync_df = synth.sample()
+    os.makedirs('downloaded_datasets', exist_ok=True)
+    adult_sync_df.to_csv(f'downloaded_datasets/adult_sync_{epsilon:.2f}.csv')
+
diff --git a/synth/snsynth/gsd/utils/test/debug/Covar.ipynb b/synth/snsynth/gsd/utils/test/debug/Covar.ipynb
new file mode 100644
index 00000000..921e9008
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/debug/Covar.ipynb
@@ -0,0 +1,2938 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "660a8717-f866-44ad-bb19-4f521e795951",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import subprocess\n",
+    "import os\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import jax.numpy as jnp\n",
+    "import jax\n",
+    "# from snsynth.gsd import GSDSynthesizer\n",
+    "from snsynth.gsd.utils.dataset_jax import Dataset, Domain\n",
+    "from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, get_quantiles\n",
+    "from snsynth.utils import cdp_rho\n",
+    "import matplotlib.pyplot as plt\n",
+    "from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles\n",
+    "\n",
+    "from snsynth.gsd.utils.utils import get_sigma, _divide_privacy_budget\n",
+    "from snsynth.utils import gaussian_noise\n",
+    "from scipy.optimize import minimize, rosen, rosen_der\n",
+    "\n",
+    "from sklearn.datasets import make_blobs\n",
+    "from snsynth.gsd.utils.generate_sync_data import generate, AVAILABLE_GENETIC_OPERATORS\n",
+    "from sklearn.datasets import make_regression\n",
+    "from sklearn.datasets import make_classification, make_circles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "f1ca41e3-e208-4f9b-9b22-db0d5d7b51dd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_2d(data_df):\n",
+    "    x1 = data_df['x1'].values\n",
+    "    x2 = data_df['x2'].values\n",
+    "    y = data_df['y'].values\n",
+    "    plt.scatter(x1, x2, c=y, s=1)\n",
+    "    plt.xlim([0,1])\n",
+    "    plt.ylim([0,1])\n",
+    "    \n",
+    "    plt.show()\n",
+    "N = 10000\n",
+    "# X, y = make_classification(n_samples=N, n_features=2, n_redundant=0, n_clusters_per_class=1, random_state=42)\n",
+    "X, y = make_circles(n_samples=N,random_state=42)\n",
+    "\n",
+    "\n",
+    "# X, y = make_blobs(n_samples=N, centers=1, n_features=2, cluster_std=[1],\n",
+    "                   # random_state=0)\n",
+    "X[:, :2] = np.clip(X[:, :2], -10, 10)\n",
+    "X[:, 0] = (X[:, 0] + 10) / (20)\n",
+    "X[:, 1] = (X[:, 1] + 10) / (20)\n",
+    "\n",
+    "meta_data = {'x1': {'type': 'continuous', 'size': 1}, 'x2': {'type': 'continuous', 'size': 1}, 'y': {'type': 'categorical', 'size': 2}, }\n",
+    "df = pd.DataFrame(np.column_stack((X, y)), columns=['x1', 'x2', 'y'])\n",
+    "domain = Domain(config=meta_data)\n",
+    "data = Dataset(df, domain)\n",
+    "N= len(df)\n",
+    "plot_2d(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "1b7da7ff-d4be-4c37-aa73-ef51f090d844",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 0, 0, ..., 1, 0, 1])"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "79629053-1f74-4803-8434-548f4b8e87f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array(0.25, dtype=float64)"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "827a531e-fdc8-44b4-8f3d-9ba6dfb67ae3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array([0.25    , 0.25    , 0.25    , 0.25    , 0.1254  , 0.125625,\n",
+       "       0.1254  , 0.125625, 0.125   , 0.125   , 0.      , 0.      ,\n",
+       "       0.      , 0.      , 0.4998  , 0.5002  , 0.      , 0.      ,\n",
+       "       0.      , 0.      , 0.      , 0.      , 0.      , 0.      ,\n",
+       "       0.4998  , 0.5002  , 0.      , 0.      , 0.      , 0.      ],      dtype=float64)"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b = jnp.linspace(0,1, 11)\n",
+    "def get_covar(D):\n",
+    "    hist1 = jnp.histogram(D[:, 0], b)[0]\n",
+    "    hist2 = jnp.histogram(D[:, 1], b)[0]\n",
+    "    \n",
+    "    y = D[:, 2].reshape(-1)\n",
+    "    # print(y)\n",
+    "    means1_0 = (D[:, 0] * y).sum(axis=0).reshape(1)\n",
+    "    means1_1 = (D[:, 0] * (1-y)).sum(axis=0).reshape(1)\n",
+    "\n",
+    "    means2_0 = (D[:, 1] * (y)).sum(axis=0).reshape(1)\n",
+    "    means2_1 = (D[:, 1] * (1-y)).sum(axis=0).reshape(1)\n",
+    "\n",
+    "    # print(means1)\n",
+    "    second_moment1_0 = (D[:, 0]**2 * y).sum(axis=0).reshape(1)\n",
+    "    second_moment1_1 = (D[:, 0]**2 * (1-y)).sum(axis=0).reshape(1)\n",
+    "    \n",
+    "    second_moment2_0 = (D[:, 1]**2 * (y)).sum(axis=0).reshape(1)\n",
+    "    second_moment2_1 = (D[:, 1]**2 * (1-y)).sum(axis=0).reshape(1)\n",
+    "\n",
+    "    # print(second_moment1)\n",
+    "    corvar1 = (D[:, 0] * D[:, 1] * y).sum(axis=0).reshape(1)\n",
+    "    corvar2 = (D[:, 0] * D[:, 1] * (1-y)).sum(axis=0).reshape(1)\n",
+    "\n",
+    "    # corvar2_0 = (D[:, 0] * D[:, 1] * (y)).mean(axis=0).reshape(1)\n",
+    "    # corvar2_1 = (D[:, 0] * D[:, 1] * (1-y)).mean(axis=0).reshape(1)\n",
+    "\n",
+    "    # print(corvar1\n",
+    "    # return means\n",
+    "    # data_X = D[:, :2] -0.5\n",
+    "    # covar = (jnp.dot(data_X.T, data_X) ).flatten() / N\n",
+    "    return  jnp.concatenate((means1_0, means1_1, means2_0, means2_1, \n",
+    "                             second_moment1_0, second_moment1_1, second_moment2_0, second_moment2_1,\n",
+    "                             corvar1, corvar2,\n",
+    "                             # covar,\n",
+    "                             hist1, hist2\n",
+    "                            )) / D.shape[0]\n",
+    "\n",
+    "get_covar(data.to_numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "0b5548ee-722d-4c66-b5b2-e484e15ddd8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen=         0: fitness=0.787805295. fitness change=1.00000000  Strategy weights:  [0.333 0.333 0.333] time=1.02 (s)\n",
+      "Gen=      1000: fitness=0.33070005. fitness change=1.00000000  Strategy weights:  [0.333 0.333 0.333] time=3.29 (s)\n",
+      "Gen=      2000: fitness=0.104538693. fitness change=0.68388667  Strategy weights:  [0.309 0.267 0.424] time=4.74 (s)\n",
+      "Gen=      3000: fitness=0.0106464393. fitness change=0.89815791  Strategy weights:  [0.241 0.27  0.489] time=6.21 (s)\n",
+      "Gen=      4000: fitness=1.06437445e-05. fitness change=0.99900025  Strategy weights:  [0.279 0.261 0.46 ] time=7.59 (s)\n",
+      "Gen=      5000: fitness=1.3646968e-06. fitness change=0.87178415  Strategy weights:  [0.483 0.143 0.374] time=8.96 (s)\n",
+      "Gen=      6000: fitness=6.97138498e-07. fitness change=0.48916236  Strategy weights:  [0.362 0.252 0.386] time=10.42(s)\n",
+      "Gen=      7000: fitness=4.33287772e-07. fitness change=0.37847677  Strategy weights:  [0.216 0.341 0.443] time=12.14(s)\n",
+      "Gen=      8000: fitness=3.09161638e-07. fitness change=0.28647504  Strategy weights:  [0.158 0.454 0.388] time=13.56(s)\n",
+      "Gen=      9000: fitness=2.39164339e-07. fitness change=0.22641004  Strategy weights:  [0.013 0.697 0.29 ] time=15.06(s)\n",
+      "Gen=     10000: fitness=2.05424733e-07. fitness change=0.14107290  Strategy weights:  [0.    0.718 0.282] time=16.56(s)\n",
+      "Gen=     11000: fitness=1.90369701e-07. fitness change=0.07328734  Strategy weights:  [0.    0.687 0.313] time=18.06(s)\n",
+      "Gen=     12000: fitness=1.81351125e-07. fitness change=0.04737401  Strategy weights:  [0.    0.663 0.337] time=19.56(s)\n",
+      "Gen=     13000: fitness=1.75915908e-07. fitness change=0.02997069  Strategy weights:  [0.    0.729 0.271] time=21.06(s)\n",
+      "Gen=     14000: fitness=1.72798307e-07. fitness change=0.01772211  Strategy weights:  [0.    0.646 0.354] time=22.54(s)\n",
+      "Gen=     15000: fitness=1.70612394e-07. fitness change=0.01265009  Strategy weights:  [0.    0.623 0.377] time=24.04(s)\n",
+      "Gen=     16000: fitness=1.68371065e-07. fitness change=0.01313696  Strategy weights:  [0.    0.828 0.172] time=25.56(s)\n",
+      "Gen=     17000: fitness=1.66550818e-07. fitness change=0.01081093  Strategy weights:  [0.    0.753 0.247] time=27.05(s)\n",
+      "Gen=     18000: fitness=1.65522683e-07. fitness change=0.00617310  Strategy weights:  [0.    0.627 0.373] time=28.52(s)\n",
+      "Gen=     19000: fitness=1.64893298e-07. fitness change=0.00380241  Strategy weights:  [0.    0.593 0.407] time=29.99(s)\n",
+      "Gen=     20000: fitness=1.64573388e-07. fitness change=0.00194010  Strategy weights:  [0.    0.412 0.588] time=31.43(s)\n",
+      "Gen=     21000: fitness=1.64450172e-07. fitness change=0.00074870  Strategy weights:  [0.    0.143 0.857] time=32.79(s)\n",
+      "Gen=     22000: fitness=1.64373649e-07. fitness change=0.00046532  Strategy weights:  [0.    0.089 0.911] time=34.13(s)\n",
+      "Gen=     23000: fitness=1.64234361e-07. fitness change=0.00084739  Strategy weights:  [0.    0.182 0.818] time=35.49(s)\n",
+      "Gen=     24000: fitness=1.6421369e-07. fitness change=0.00012586  Strategy weights:  [0.    0.026 0.974] time=36.84(s)\n",
+      "Gen=     25000: fitness=1.6406147e-07. fitness change=0.00092697  Strategy weights:  [0.    0.184 0.816] time=38.38(s)\n",
+      "Gen=     26000: fitness=1.63974366e-07. fitness change=0.00053092  Strategy weights:  [0.    0.114 0.886] time=39.76(s)\n",
+      "Gen=     27000: fitness=1.63825501e-07. fitness change=0.00090786  Strategy weights:  [0.    0.111 0.889] time=41.12(s)\n",
+      "Gen=     28000: fitness=1.63715427e-07. fitness change=0.00067190  Strategy weights:  [0.   0.17 0.83] time=42.48(s)\n",
+      "Gen=     29000: fitness=1.63564911e-07. fitness change=0.00091938  Strategy weights:  [0.    0.192 0.808] time=43.85(s)\n",
+      "Gen=     30000: fitness=1.63516039e-07. fitness change=0.00029879  Strategy weights:  [0.    0.036 0.964] time=45.16(s)\n",
+      "Gen=     31000: fitness=1.63495145e-07. fitness change=0.00012778  Strategy weights:  [0.    0.008 0.992] time=46.47(s)\n",
+      "Gen=     32000: fitness=1.63449777e-07. fitness change=0.00027749  Strategy weights:  [0.    0.022 0.978] time=47.78(s)\n",
+      "Gen=     33000: fitness=1.63435098e-07. fitness change=0.00008980  Strategy weights:  [0.    0.002 0.998] time=49.09(s)\n",
+      "\t\t ### Stop early at 33000 ###\n"
+     ]
+    }
+   ],
+   "source": [
+    "sync_data_1 = generate(jax.random.PRNGKey(0),\n",
+    "                                domain=domain,\n",
+    "                                N_prime=1000,\n",
+    "                                num_generations=50000,\n",
+    "                                private_statistics= get_covar(data.to_numpy()),\n",
+    "                                statistics_fn=get_covar,\n",
+    "                                genetic_operators=['mutate', 'continuous', 'swap'],\n",
+    "                                early_stop_threshold=0.0001,\n",
+    "                                print_progress=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "dae9fee0-c69f-4a1b-bcde-03c39700c56b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.24997952 0.24998139 0.24997632 0.24998172 0.12542117 0.12564416\n",
+      " 0.12542456 0.12564387 0.125      0.12500001 0.         0.\n",
+      " 0.         0.         0.5        0.5        0.         0.\n",
+      " 0.         0.         0.         0.         0.         0.\n",
+      " 0.5        0.5        0.         0.         0.         0.        ]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sync_covar = get_covar(sync_data_1.to_numpy())\n",
+    "print(sync_covar)\n",
+    "\n",
+    "plot_2d(sync_data_1.df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "6ae2abba-a4e1-44d6-bfe0-746398bdc082",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x1</th>\n",
+       "      <th>x2</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>x1</th>\n",
+       "      <td>0.002517</td>\n",
+       "      <td>-0.002245</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>x2</th>\n",
+       "      <td>-0.002245</td>\n",
+       "      <td>0.002036</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>y</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          x1        x2    y\n",
+       "x1  0.002517 -0.002245  0.0\n",
+       "x2 -0.002245  0.002036  0.0\n",
+       "y   0.000000  0.000000  0.0"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sync_data_1.df[sync_data_1.df['y'] == 0].cov()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "9013e5f9-58d9-4717-a21f-0ce074e7437c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x1</th>\n",
+       "      <th>x2</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>x1</th>\n",
+       "      <td>0.002635</td>\n",
+       "      <td>-0.002335</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>x2</th>\n",
+       "      <td>-0.002335</td>\n",
+       "      <td>0.002339</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>y</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          x1        x2    y\n",
+       "x1  0.002635 -0.002335  0.0\n",
+       "x2 -0.002335  0.002339  0.0\n",
+       "y   0.000000  0.000000  0.0"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.df[data.df['y'] == 0].cov()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "746f55f8-cfce-4dfb-9c39-ed2a6cacc393",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def get_stat(data_arg, tree_height_arg, rho_1):\n",
+    "    dim = len(data_arg.domain.attrs)\n",
+    "    numeric_features = data_arg.domain.get_numeric_features()\n",
+    "    bin_edges = _get_bin_edges(domain=data_arg.domain, tree_height=tree_height_arg)\n",
+    "\n",
+    "    _, _, marginals_info = _get_mixed_marginal_fn(data_arg, k=1, bin_edges=bin_edges, rho=rho_1,\n",
+    "                                                           store_marginal_stats=True,\n",
+    "                                                                           features=numeric_features,\n",
+    "                                                               verbose=True)\n",
+    "\n",
+    "    # Compute density function\n",
+    "    density_fn_params = []\n",
+    "    priv_density = []\n",
+    "    for col in numeric_features:\n",
+    "        thres_q, den_q, thres_all, density_all = get_quantiles(marginals_info[(col,)], 200)\n",
+    "        # Save threshold for computing the density function\n",
+    "        col_id = data.domain.get_attribute_index(col)\n",
+    "        for q, d in zip(thres_q, den_q):\n",
+    "            density_fn_params.append([col_id, q])\n",
+    "            priv_density.append(d)\n",
+    "    \n",
+    "        # Store column histogram bin edges\n",
+    "        numeric_features_bin_edges[col] = jnp.array(thres_q)\n",
+    "    \n",
+    "    \n",
+    "    # Obtain first moment statistics and function.\n",
+    "    priv_density_np = jnp.array(priv_density)\n",
+    "    density_fn = _get_density_fn(jnp.array(density_fn_params))\n",
+    "    \n",
+    "    # Special case: 1-dimensional numeric dataset\n",
+    "    if dim == 1:\n",
+    "        return priv_density_np, density_fn, numeric_features_bin_edges\n",
+    "\n",
+    "\n",
+    "    priv_stats_2k, stat_fn_2k = _get_mixed_marginal_fn(data_arg, k=2, \n",
+    "                                                       bin_edges=bin_edges, \n",
+    "                                                       rho=rho_2,\n",
+    "                                                       verbose=True)\n",
+    "\n",
+    "    # Combine first and second moment statistics\n",
+    "    def stat_fn_all(X):\n",
+    "        stat_1k = density_fn(X)\n",
+    "        stat_2k = stat_fn_2k(X)\n",
+    "        return jnp.concatenate((stat_1k, stat_2k))\n",
+    "\n",
+    "    # General case: d-dimensional mixed-type dataset:\n",
+    "    priv_stats_all = jnp.concatenate((jnp.array(priv_density_np), jnp.array(priv_stats_2k)))\n",
+    "    return priv_stats_all, stat_fn_all, numeric_features_bin_edges"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "2fb52058-0b53-4b64-8d51-e36784518a3b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sigma = 0.03360\n",
+      "Cond.Marginal= ['O1'] . Sigma=0.0336. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n",
+      "h=1. hist.sum=1.00\treg_hist = 0.97\n",
+      "h=2. hist.sum=1.00\treg_hist = 0.89\n",
+      "h=3. hist.sum=1.00\treg_hist = 0.98\n",
+      "h=4. hist.sum=1.00\treg_hist = 0.90\n",
+      "h=5. hist.sum=1.00\treg_hist = 1.50\n",
+      "h=6. hist.sum=1.00\treg_hist = 1.11\n",
+      "h=7. hist.sum=1.00\treg_hist = 0.28\n",
+      "h=8. hist.sum=1.00\treg_hist = 0.77\n",
+      "h=9. hist.sum=1.00\treg_hist = 1.68\n",
+      "error1 = 19.50618\n",
+      "error3 = 0.59618\n",
+      "error = 0.5961797090353367\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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n4uzZszAajfj111/xzjvvuH2ckSNHYvHixZg1axY6depUaouC1WqFJEn49ttvXb7n4n/Ey1KROvOk5s2b47rrrsOKFSvcTkbsLRevvvoqOnfu7LJMeXVVfPE7Ly8vbN++HVu3bsWGDRuwadMmrF69Grfccgu+//57uT7T0tIqFGNAQIB84QsPD8fWrVshhHA6b2pqKgAgIiKiQsesSuX9vtjr+IknnnBq5XHk+Ps8YMAAPPXUUy7LtWrVyu34CgoKkJWVVaGyYWFhAICgoCDo9Xq5Xh15sq7rGyYjdE1uuukmhIeHY/Xq1ejduzd+/PFHzJgx45qPm5ubi3Xr1iEqKkoewNe8eXP88MMP6NWrV5X+p2KfFTR27Fjk5ubipptuwqxZs8pMRspakfXee+9FYmIiPv30UxQUFECr1Vaqpah3795o0qQJtm3bhpdffrnUcs2bN4cQAk2bNi33D/i1riQbHR0NwLaGhX0mlt3hw4fl1+1fXTXnX+taNQUFBS7/iy1P8+bNAQD+/v4Vbqk4evQomjZtKj9PSUmB1Wp1moWkUqnQr18/9OvXD/PmzcOLL76IGTNmYOvWrfJ5Kvrf+rJly3D//fcDsK3Bs3TpUhw8eNApEbUPJi4toapuZf2+NGvWDICtNa68Om7evDlyc3PLLRcdHY0tW7YgNzfXKVl09TlavXq1yxl+rtgTbJVKhQ4dOmDPnj0lyuzatQvNmjXj4FUFcMwIXROVSoVhw4bh66+/xscffwyz2XzNXTQFBQUYPXo0Ll26hBkzZsgX0OHDh8NisWDOnDkl9jGbzZWa6ld8QSNfX1+0aNGi3Iudj49PqecLDg7Gbbfdhk8++QQrVqzAwIED5ZH77pAkCW+99RaSkpIwevToUsvdfffdUKvVmD17dokWDCGE03v08fGp8H+OrnTt2hUhISFYvHixUx19++23OHjwIAYNGgTAdvHt3LkzPvzwQ6fzbd68GQcOHCj3PGazucR0bQDYvXs3/vrrrxKte4cOHcLp06fLPGaXLl3QvHlzvPbaa3IXoKPMzMwS2xYsWOD0/O233wZg6zICbGMkirMnCY71U5kxI0OGDIFWq8XChQvlbUIILF68GJGRkejZs6e8PTU1FYcOHYLJZCqzDq5Veb8vISEhuPnmm/Huu++6bGlwrOPhw4dj586d+O6770qUu3LlCsxmMwDg9ttvh9lsxqJFi+TXLRaL/LNwVJkxIwAwbNgw/Pbbb04JyeHDh/Hjjz/iP//5T0Wqhq4RW0bomo0YMQJvv/02kpKS0KFDhxJTEcty7tw5eenz3NxcHDhwAGvWrEFaWhoef/xxPPjgg3LZPn364MEHH0RycjL279+PW2+9FVqtFkePHsWaNWvw5ptvYtiwYW7F3rZtW9x8883o0qULgoKCsGfPHnz++efldgF06dIFP/zwA+bNm4eIiAg0bdoU3bt3l18fM2aMHIur5KmihgwZgiFDhpRZpnnz5njhhRcwffp0nDx5EkOHDoWfnx9OnDiBdevWYeLEifKaL126dMHq1auRmJiIbt26wdfXF4MHD65wPFqtFi+//DLGjh2LPn364L777pOn9sbExOCxxx6TyyYnJ2PQoEHo3bs3HnjgAVy6dAlvv/022rVr5zIZcJSbm4uoqCiMGDEC7dq1g4+PD/766y8sW7YMAQEBJcYjtGnTBn369ClzuXOVSoWlS5fitttuQ7t27TB27FhERkbi3Llz2Lp1K/z9/fH111877XPixAnceeedGDhwIHbu3IlPPvkEI0eOlLshn3/+eWzfvh2DBg1CdHQ0MjIysHDhQjRu3Nhp2m1lxow0btwYjz76KF599VWYTCZ069YN69evx08//YQVK1Y4dalNnz4dH374IU6cOOHUavPCCy8AsE23BWzT0u3jep599lm53KxZszB79mxs3boVN998c6kxVeT3ZcGCBejduzc6dOiACRMmoFmzZkhPT8fOnTtx9uxZ/PHHHwCAJ598El999RXuuOMOecp9Xl4e/vrrL3z++ec4efIkgoODMXjwYPTq1QvTpk3DyZMn0bZtW6xdu9ZlUl2ZMSMAMGnSJCxZsgSDBg3CE088Aa1Wi3nz5iE0NBSPP/6428ejSvDQLB5SWGkrsBaXkJAgfHx8Sn3N1ZRMq9UqoqKiBADxwgsvVDgm+/RbAEKSJOHv7y/atWsnJkyYIHbt2lXqfu+9957o0qWL8PLyEn5+fqJDhw7iqaeeEufPn3c6tqspiH369BF9+vSRn7/wwgsiLi5OBAYGCi8vLxEbGyvmzp0rCgsL5TKupvYeOnRI3HTTTcLLy0sAKDHN12g0igYNGoiAgACnKbBlqegqqMWn9tp98cUXonfv3sLHx0f4+PiI2NhYMXnyZHH48GG5TG5urhg5cqQIDAx0mmJb2rlLW+Vy9erV4rrrrhN6vV4EBQWJUaNGydPDi8fUpk0bodfrRdu2bcXatWsrtAKr0WgUU6dOFR07dhT+/v5Cq9WK6OhoMW7cOHHixIkS5QE4/VzLsm/fPnH33XeLhg0bCr1eL6Kjo8Xw4cPFli1b5DL2n/mBAwfEsGHDhJ+fn2jQoIGYMmWK089zy5YtYsiQISIiIkLodDoREREh7rvvvhLTVSvLYrGIF198UURHRwudTifatWsnPvnkkxLl7FPyi9cNKjC1VQghHn/8cSFJkjh48GCZ8VTk90UIIY4dOybGjBkjwsLChFarFZGRkeKOO+4Qn3/+uVO5nJwcMX36dNGiRQuh0+lEcHCw6Nmzp3jttdecjnnx4kUxevRo4e/vLwICAsTo0aPFvn37qmwFViGEOHPmjBg2bJjw9/cXvr6+4o477hBHjx6tkmNT+SQhasjINKI6xGw2IyIiAoMHD8b777/v6XDITfaWgszMzEp1sdU2cXFxiI6OLrHqL5FS2E1DVA3Wr1+PzMxMjBkzxtOhEJUpOzsbf/zxBz788ENPh0L1GJMRoiq0a9cu/Pnnn5gzZw6uu+469OnTx9MhEZXJ39+/UrOTiKoSZ9MQVaFFixbh4YcfRkhISImb8hERkWscM0JEREQexZYRIiIi8igmI0RERORRtWIAq9Vqxfnz5+Hn53fNy1kTERGRMoQQyMnJQURERJn3PKsVycj58+cRFRXl6TCIiIioEs6cOVPm3eBrRTJiv0nRmTNn4O/v7+FoiIiIqCKys7MRFRVV7s0Ga0UyYu+a8ff3ZzJCRERUy5Q3xIIDWImIiMijmIwQERGRRzEZISIiIo+qFWNGKsJiscBkMnk6DKqHtFot1Gq1p8MgIqq16kQykpubi7Nnz4Ir25MnSJKExo0bw9fX19OhEBHVSrU+GbFYLDh79iy8vb3RqFEjLopGihJCIDMzE2fPnkXLli3ZQkJEVAm1PhkxmUwQQqBRo0bw8vLydDhUDzVq1AgnT56EyWRiMkJEVAl1ZgArW0TIU/jZIyK6NnUmGSEiIqLaickIEREReZTbycj27dsxePBgREREQJIkrF+/vtx9tm3bhuuvvx56vR4tWrTA8uXLKxEqAUBMTAzmz5/v6TCqxLZt2yBJEq5cueLpUIiIyIPcTkby8vLQqVMnLFiwoELlT5w4gUGDBqFv377Yv38/Hn30UYwfPx7fffed28HWJffffz8kSYIkSdDpdGjRogWef/55mM3mMvf77bffMHHixEqf154ASJIElUqFgIAAXHfddXjqqaeQmppa6eNWRs+ePZGamoqAgAAAwPLlyxEYGHjNx7148SIGDhyIiIgI6PV6REVFYcqUKcjOzr7mYxMRUdVzezbNbbfdhttuu63C5RcvXoymTZvi9ddfBwC0adMGP//8M9544w3Ex8e73MdoNMJoNMrP6+pFZODAgVi2bBmMRiM2btyIyZMnQ6vVYvr06SXKFhYWQqfToVGjRlVy7sOHD8Pf3x/Z2dn4/fff8corr+D999/Htm3b0KFDhyo5R3l0Oh3CwsKq/LgqlQpDhgzBCy+8gEaNGiElJQWTJ0/GpUuXsHLlyio/H1GtYcwBfnnL9pWqjYCAxWp7WAUgYFsGQIh/X7Nai7bDVkAuA0AIwGyxKh63/y1T4R/WXPHzAgpM7d25cyf69+/vtC0+Ph6PPvpoqfskJydj9uzZlTqfEAImS/mLnwkh5BVbtVotACC/IB/Gq1eh0WhgMHhBq9U6zZSw72Mym6DVaEu8rlFBbtko/porer1evhg//PDDWLduHb766itMmzYNCQkJuHLlCuLi4rBw4ULo9XqcOHECMTExePTRR/Hoo49i5MiRsFgsWL16tXxMk8mE8PBwzJs3D2PGjCn13CEhIQgMDERYWBhatWqFIUOG4LrrrsPDDz+Mn3/+WS63dOlSvP766/K5H3nkEUyaNAkAcPLkSTRt2hRffPEF3n77bezatQstW7bE4sWL0aNHDwDAqVOnMGXKFPz8888oLCxETEwMXn31Vdx+++3Ytm0b+vbti8uXL2P//v0YO3YsgH9npyQlJUGlUuGzzz7D33//7RR/586dMXjwYMyZM6fEz7JBgwZ4+OGH5bLR0dGYNGkSXn31VadjCCGQn58Ps9kMjUYDs9kMs9ksT8+1WCwAAIPBAK1WC5PJBK225M/dHUIIuQUqPDzcYzNxiscBoEbEVV841n9YWBhSU1ORnp6O0NBQuQu8KlitVuzbtw8ZGRmwWq1odmQp2mT9WCXHptJJsF1ca9vaGReuHw7U1WQkLS0NoaGhTttCQ0ORnZ2NgoICl2uDTJ8+HYmJifLz7OxsREVFVeh8JovAgq0pFSgpYCnKPNVqW2+VyWSC2WyGSqWCRqMt2i6V2MdqtUClUpd4fdLNzXEtf0K8vLxw8eJF+fnWrVsRGBiIzZs3uyw/atQo/Oc//0Fubq68+ud3332H/Px83HXXXW6f+6GHHsJjjz2GjIwMhISEYMWKFZg5cybeeecdXHfdddi3bx8mTJgAHx8fJCQkyPvOmDEDr732Glq2bIkZM2bgvvvuQ0pKCjQaDSZPnozCwkJs374dPj4+OHDggMuVSnv27In58+dj5syZOHz4MADA19cXV65cwezZs/Hbb7+hW7duAIB9+/bhzz//xNq1ayv03s6fP4+1a9eiT58+btUJUV0TmfcHAOC8T1tcDO1ZbnlRyhOBUv7hEy6/Lf34pZzAcbPVKlCB/y9rJLVKggRAJdn+yZIASCoJGkmCSpIgSYAt7yz6vmg/SZKgVUtQ+n+CwAaRyp7QQY1M3PR6PfR6vafDUIwQAlu2bMF3332H//3vf/J2Hx8fLFmypNS6iI+Ph4+PD9atW4fRo0cDAFauXIk777wTfn5+bscRGxsLwNbiERISgqSkJLz++uu4++67AQBNmzbFgQMH8O677zolI0888QQGDRoEAJg9ezbatWuHlJQUxMbG4vTp07jnnnvkrp9mzZq5PLdOp0NAQAAkSXLquvH19UV8fDyWLVsmJyPLli1Dnz59Sj2W3X333Ycvv/wSBQUFGDx4MJYuXep2nRDVJVpLPgDg8+ApMId1rVUtYD56NQxate2CLUm2C7zDRVxyfF504VepUHTRt5VXFX0FpH8TBRWKXncsI0GvVUGjkiBV4l9Mg1aFJg29oddwEcSKqvZkJCwsDOnp6U7b0tPT4e/vXy0rpmrVEib3bVFuuerrpql4rN988w18fX1hMplgtVoxcuRIzJo1S369Xbt20Ol0pe6v0WgwfPhwrFixAqNHj0ZeXh6+/PJLrFq1quJBOLDf20eSJOTl5eHYsWMYN24cJkyYIJcxm83ygFO7jh07yt/bm/wzMjIQGxuLRx55BA8//DC+//579O/fH/fcc49T+YqYMGECHnjgAcybNw8qlQorV67EG2+8Ue5+b7zxBpKSknDkyBG5tW3hwoVunZuozhACemEbi9ewYRB6XR8p//1yvOCWlZ84vub4t08qrUyxC7nza3D5pHgsakmCn0EDjZorUdRl1Z6M9OjRAxs3bnTatnnzZnlMQVWTJAk6TfmZrBACkrB9uLUa21ezWgWrWgWNWgWdRgWtRlUiGZGECpKwvebqdXf07dsXixYtgk6nQ0REBDQajdNxfHx8yj3GqFGj0KdPH2RkZGDz5s3w8vLCwIED3YrD7uDBgwBs04dzc3MBAEuWLEH37t2dyhVf8tyezAH//oGyWm1dYOPHj0d8fDw2bNiA77//HsnJyXj99dedWoDKM3jwYOj1eqxbtw46nQ4mkwnDhg0rd7+wsDCEhYUhNjYWQUFBuPHGG/Hcc8/JCRNRfaKyFkIF2++lwScA0Q19alXLCNVtbicjubm5SEn5d0zGiRMnsH//fgQFBaFJkyaYPn06zp07h48++ggA8NBDD+Gdd97BU089hQceeAA//vgjPvvsM2zYsKHq3kUt5ePjgxYtym/FKUvPnj0RFRWF1atX49tvv8V//vMfp+SgogoKCvDee+/hpptukmfsRERE4Pjx4xg1atQ1xRgVFYWHHnoIDz30EKZPn44lS5a4TEZ0Op08aNSRRqNBQkICli1bBp1Oh3vvvdftVjV7cuQ4S4uoPrF30VghQdKU/48OkZLcTkb27NmDvn37ys/tA00TEhKwfPlypKam4vTp0/LrTZs2xYYNG/DYY4/hzTffROPGjbF06dJSp/WS+0aOHInFixfjyJEj2Lp1a4X2ycjIwNWrV5GTk4O9e/filVdewYULF5wGhc6ePRuPPPIIAgICMHDgQBiNRuzZsweXL192GmBclkcffRS33XYbWrVqhcuXL2Pr1q1o06aNy7L2FpktW7agU6dO8Pb2hre3NwBbC4t9v19++aXMc27cuBHp6eno1q0bfH198c8//+DJJ59Er169EBMTU6G4ieoajaUAAHAVemg07PKgmsXtZOTmm28uszvC1eqqN998M/bt2+fuqaiCRo0ahblz5yI6Ohq9evWq0D6tW7eGJEnw9fVFs2bNcOuttyIxMdFp8Oj48ePh7e2NV199FU8++SR8fHzQoUOHMqdlF2exWDB58mScPXsW/v7+GDhwYKnjPXr27ImHHnoII0aMwMWLF5GUlCSPoWnZsiV69uyJS5culeg2Ks7LywtLlizBY489BqPRiKioKNx9992YNm1aheMmqmvsyUgBvKBRs3uGapYaOZumPihvSfzSZn6cPHmyxLY2bdpUeLxKeclkcSNHjsTIkSNdvhYTE1PiWIGBgU7b3n77bbdiWbRoERYtWlSirBAC58+fl9c4KUvfvn2xY8eOcssR1Seaom6aAuih5WBQqmGYjFCNl5mZiVWrViEtLU1eGI2I3KOx2sZLFUo6aFRsGaGahckI1XghISEIDg7Ge++9hwYNGng6HKJaSRK2dQfM4DRZqnmYjFCN5+6UaSIqSSVsM9XMUEPLMSNUwzA9JiKqB6SiZMQCNceMUI3DTyQRUT1gNhUCAKxQoYF36Ss7E3kCkxEionrAWGhLRiS1BjquM0I1DD+RRET1gLDYBrAKlfsrNBNVNyYjRET1gGS1JyO8kyzVPExGiIjqAWFPRjiJkmogJiO11MmTJyFJEvbv31/hfZYvX47AwECPx+FJN998s1vL2RPVGWwZoRqMyYgHnTlzBg888AAiIiKg0+kQHR2NqVOn4uLFi+XuGxUVhdTUVLRv377C5xsxYgSOHDlyLSFXys033wxJkiBJEvR6PSIjIzF48GCnm/IpZe3atZgzZ478vG3btli4cKHicRApzb7oGSQmI1TzMBnxkOPHj6Nr1644evQoPv30U6SkpGDx4sXYsmWLfEO40hQWFkKtViMsLAwaTcWbXL28vBASElIV4bttwoQJSE1NxbFjx/DFF1+gbdu2uPfeezFx4kRF4wgKCoKfn5+i5ySqCSSLbZ0RDmClmqjuJSNCAIV5lXzkA6aiR3nlXG13Y6XQyZMnQ6fT4fvvv0efPn3QpEkT3Hbbbfjhhx9w7tw5zJw5Uy4bExODOXPmYMyYMfD398fEiRNddo989dVXaNmyJQwGA/r27YsPP/wQkiThypUrAEp208yaNQudO3fGxx9/jJiYGAQEBODee+9FTk6OXGbTpk3o3bs3AgMD0bBhQ9xxxx04duyY2z8Wb29vhIWFoXHjxrjhhhvw8ssv491338WSJUvwww8/yOXOnDmD4cOHIzAwEEFBQRgyZIjTzQHvv/9+DB06FK+99hrCw8PRsGFDTJ48GSaTSS6zcOFCuR5CQ0MxbNgw+TXHbpq+ffvi9OnTeOaZZ+Dr64vAwEDk5eWhSZMm+PLLL53i//LLLxESEuJUN0S1ir1lhN00VAPVvZFMpnzgxYhyi0kAii/741P0KG+fUpcLmn4OkMpfTOjSpUv47rvvMHfuXHh5eTm9FhYWhpEjR+Lzzz93uuPta6+9hpkzZyIpKcnlMU+cOIFhw4Zh6tSpGD9+PPbt24cnnnii3FiOHTuG9evX45tvvsHly5cxfPhwvPTSS5g7dy4AIC8vD4mJiejYsSNyc3Mxc+ZM3HXXXdi/fz9UqmvLZRMSEvD4449j7dq16N+/P0wmE+Lj49GjRw/89NNP0Gg0eOGFFzBw4ED8+eef0Olsdbt161aEh4dj69atSElJwYgRI9ChQweMGzcOe/bswSOPPIKPP/5YbmH66aefXJ7/iy++QKdOnZCQkIBx48bBbDbDx8cHd999N1asWIE77rhDLvvRRx9h6NChbFWhWsu+AqtQ1b0/+1T78VPpAUePHoUQAm3atHH5eps2bXD58mVkZmYiMjISAHDLLbfg8ccfl8s4thYAwLvvvovWrVvj1VdfBQC0bt0af//9t5xUlMZqtWL58uXyRXb06NHYsmWLvN8999zjVP6DDz5Ao0aNcODAAbfGq7iiUqnQqlUr+b2sXr0aVqsVS5cuhSTZ7p2xbNkyBAYGYtu2bbj11lsBAA0aNMA777wDtVqN2NhYDBo0CFu3bsW4ceNw+vRp+Pj44I477oCfnx+io6Nx3XXXuTx/UFAQ1Go1fH19ERoaCrPZDLPZjNGjRyM+Ph5paWkICwtDRkYGNm3ahK+//vqa3i+RJ9mn9kpMRqgGqnufSq038Mz5cosJIeSmfa3W1oean1+Aq8ar0Gg08DIYoNVq5Yui4z4mkxlarabE69B4AWZzhUN15wZwXbt2LfP1w4cPo1u3bk7b4uLiyj1uTEyM03/74eHhyMjIkJ8fPXoUM2fOxK5du3DhwgVYrVYAwOnTp685GQFsdWCvwz/++AMpKSklWh+uXr3q1DXUrl07qNX/NjWHhYXhr7/+AgAMGDAA0dHRaNasGQYOHIiBAwfirrvugre3d4Vj6tKlC2JjY7F69WpMnToVq1evRpMmTdC7d+9reatEHiUPYGUyQjVQ3RszIkmAzqeSD29bMqP1Lr+cq+1Sxe6E2aJFC0iShIMHD7p8/eDBg2jQoAEaNWokb/PxKasDqfLsiZidJElywgEAgwcPxqVLl7BkyRLs2rULu3btAmAbRHutLBYLjh49iqZNmwIAcnNz0aVLF+zfv9/pceTIEYwcObJCMfv5+eH333/Hp59+ivDwcMycOROdOnWSx81U1JgxY/Dpp58CAD7++GMkJCQ4J55EtYz9rr3gAFaqgepeMlILNGzYEAMGDMDChQtRUFDg9FpaWhpWrlyJYcOGuXXxa926Nfbs2eO07bfffrumOC9evIjDhw/j2WefRb9+/eTuo6ry4Ycf4vLly3JX0PXXX4+jR48iJCQELVq0cHoEBARU+LgajQb9+/fHK6+8gj///BMnT57Ejz/+6LKsTqeDpWiWgaPhw4fj7NmzeO+993Do0CH897//rdybJKoh7GNGoOYAVqp5mIx4yDvvvAOj0Yj4+Hhs374dZ86cwaZNmzBgwABERkbi+eefd+t4Dz74IA4dOoSnn34aR44cwWeffYbly5cDQKX/o2/QoAEaNmyI9957DykpKfjxxx+RmJhYqWPl5+cjLS0NZ8+exa+//oqnn34aDz30EB5++GH07dsXADBq1CgEBwdjyJAh+Omnn3DixAls27YNjzzyCM6ePVuh83zzzTd46623sH//fpw6dQofffQRrFYrWrdu7bJ8kyZNsGPHDpw/f95pfZfAwEAMGjQIs2bNQr9+/dC4ceNKvW+imkIlOGaEai4mIx7SsmVL7NmzB82aNcPw4cPRvHlzTJw4EX379sWOHTsQFBTk1vGaNm2Kzz//HGvXrkXHjh2xaNEizJgxAwCg1+srFaNKpcKqVauwd+9etG/fHo899pg8QNZdS5YsQXh4OJo3b467774bBw4cwOrVq50WHPP29sb27dvRpEkT3H333WjTpg3GjRuHq1evwt/fv0LnCQwMxNq1a3HLLbegTZs2WLx4MT799FO0a9fOZflnn30Wp0+fRocOHdC8eXOn10aNGoXCwkKMHj26Uu+ZqKawWAVUwtaVKanZTUM1jyTcGUXpIdnZ2QgICEBWVlaJi9LVq1dx4sQJNG3aFAaDocLHdD2ANR9XrxYNYPXyKmMAqwlarbbU1+3HrGyLRFUdZ+7cuVi8eDHOnDlTqf1ri8rWlxAC+fn5MJvN0Gg08mwa++DYTz/9FM8++yxSUlLg4+NT6s/dnc+gEAKpqakAbIOFPTUOpXgcAGpEXPWFY/2HhYUhNTUV6enpCA0NRURERJXVv9Vqxb59+3DmfCqa752NDjiC/c0eRvAtUxAZGcmfM1W7sq7fjtheV4csXLgQ3bp1Q8OGDfHLL7/g1VdfxZQpUzwdVq2Tn5+P9PR0vPnmm0hISJDXNyGqrcxmAQ2KBqZL/LNPNQ+7aeqQo0ePYsiQIWjbti3mzJmDxx9/HLNmzfJ0WLXOW2+9hbi4OISEhGDq1KmeDofompmFFWoULXrGe9NQDcQUuQ5544038MYbb3g6jFpv2rRpmDZtmstZNkS1kcUq5GTEypYRqoHYMkJEVMc5JiOC96ahGqjOJCO1YBwu1VH87FFNZ7WCLSNUo9X6ZMQ+86EqVgQlqgz7Z0/NxaSohrIIAXXRAFaOGaGaqNanyBqNBt7e3sjMzIRWq63wnWQdp4PaxwYYjUYUFhbCarVCkiRYLBaXU3fNZjMsFkupr9uPWRVTe6/lOPVFZetLCAGj0Sj/LC0Wi9PUXvvnwv5ZcPVzt1qtyMzMhLe3NzSaWv/rRHWUVTiOGWEyQjVPrf/rKUkSwsPDceLECZw6dcqtfe0XG7VaDSEECgsLYTaboVKpoNVqXV5czGYzrFYrVCqVy9cdj3ktquo49UVl6suexFgsFqhUKlitVlgslhLJiFarhVqtLvXnrlKp0KRJEyaNVGNZrAIaeTZNrf+zT3VQnfhU6nQ6tGzZ0q2uGiEEMjMzAQCNGjWCEAIHDhzAiRMnEBAQgFatWiE0NLREy0dGRgYuXLiA4OBghISElHjd8ZjX0jJSFcepLypbX1arFQcPHsSlS5cQEBCAy5cvOy3Mk5WVBUmS0LRpUwQEBODSpUsuf+46na7CLXJEnmDhmBGq4erMp1KlUrm9Aqv9P1yDwSAPQiwsLITFYoFGo4HBYCiRbGg0GkiSVObr9mNeSzJSFcepLypbX/Y7/dpbQCwWi/zzB2yfBfuxyvq5E9V0guuMUA3Hf+eIiOo429ReW/Jt5dReqoGYjBAR1XFmx3VG2DJCNRCTESKiOk6AY0aoZmMyQkRUx1ksVvlGeZxNQzURkxEiojrOaPx3piHXGaGaiMkIEVEdZrJYkX4lV37OMSNUEzEZISKqww6cz5Zn0gAcM0I1E5MRIqI67FBaDjQwy8/ZMkI1EZMRIqI6ymIVMFus/64xAhXABfuoBmIyQkRUR101Fd2ziTfJoxqOyQgRUR1VUJSMGDS2210wGaGaiskIEVEdZW8ZMajt3TRMRqhmYjJCRFRHXTXZkhC9yt4ywpk0VDMxGSEiqqNyjbZZND5q21eLpPVkOESlYppMRORhV00W/HbyErwvAQ0vSpCqaMZL6pV8AECAztYyYlExGaGaickIEZGHpWTk4khaDnyNOmRac6osGbFabd00jbyKkhG2jFANxWSEiMjD8o22gabhAV7o2qpRlSYjZ6VgNMiwPTczGaEaiskIEZGHFZhsYzoaN/BCl+gGVZqMqC75QJVmu1GeRdJVyXGJqhoHsBIReZh9Cq6Xtnqm3qqtRckIx4xQDcWWESIiD7mUZ8ShwxnIzDUCAAy6ak5G2E1DNRSTESIiD7iUZ8TXf6RC5xeE/EJby4ifvnr+JKuKkhGOGaGaiskIEcmEEDhxIU++OFLVMJqtuJhrRKHFiqsmK/ILzTh+6iwAIMrfgJZ+DWBuKKGhr75azq8W9m4ajhmhmonJCBHJzlwuwI7zuVU2gJJcE8I21VarkjCoQzjys7RITzdV2/lU7KahGo7JCBEBAHKvmrDp71T4B4Wgoa8OAV68cFWlhj56+Bo00GtU8NKqkJmugZ9BgwBvLfKzqvfcaguTEarZKpWMLFiwAK+++irS0tLQqVMnvP3224iLiyu1/Pz587Fo0SKcPn0awcHBGDZsGJKTk2EwGCodOBFVjZSMHBzLzMPRE+nyttvah6ORX/V0GZCtZURX6KXY+dRW2wBZjhmhmsrtZGT16tVITEzE4sWL0b17d8yfPx/x8fE4fPgwQkJCSpRfuXIlpk2bhg8++AA9e/bEkSNHcP/990OSJMybN69K3gQRuS/3qgm/n76C84U5AIDsPCNUkHBfXBMmInWMtzENAJCvaeDhSIhcczsZmTdvHiZMmICxY8cCABYvXowNGzbggw8+wLRp00qU37FjB3r16oWRI0cCAGJiYnDfffdh165d1xg6UQ0jBFBwGbh8Esg+B1hcjwEwXL5s++aSuxcGcU3hOUq9UoA/D5yEBkBr3wBEN/SGWZ8DPy8dws6kAWeq7FTXRlTde3Y4aBUfrjLHE/C6csX2bUYAvK5cQVBWNryy/YELVZgwCCsanjmBoJzDAIDL+saonsnDRNfGrWSksLAQe/fuxfTp0+VtKpUK/fv3x86dO13u07NnT3zyySfYvXs34uLicPz4cWzcuBGjR48u9TxGoxFGo1F+np2d7U6YRMrJSQP+WgMc/z/g7G7gatmd/xKAIGUiK1MEgGGeDqIekwA4phxBqJ7PhQpATNH3hRpfZOtCwbYRqoncSkYuXLgAi8WC0NBQp+2hoaE4dOiQy31GjhyJCxcuoHfv3hBCwGw246GHHsIzzzxT6nmSk5Mxe/Zsd0IjUt7pX4FP7wMKLjlv9w0FAqIATckxUQIChYW2wYQ6nQ4SKjBr5RpmtlisAnmFZuQXWmAyWyHsxxICsJrR0FcH76KxW85xVV9MxQ5URYepYfEAZcYkAPkfLr1OD6PRiMJCI3Q6PfQGfbEoKh+TgO2fuQIzcDx0EKxmzlmgmqnaP5nbtm3Diy++iIULF6J79+5ISUnB1KlTMWfOHDz33HMu95k+fToSExPl59nZ2YiKiqruUIkqLv0fYNVIWyIS2h7odB8Q0xsIbgXovEvdrdBkwf/tP4I/z16BV2BwtU+hNZkFrEXdCBqVhAHtQhHgpYUEwJRzCVkqCd7h4QCAi6mpAIDw8PAqvLiTS0LgUlF9h4WF4WJqKtLT0xEaGoqIiIgqq39htSJl3z5kZGTY7uBr7yIkqmHcSkaCg4OhVquRnp7utD09PR1hYWEu93nuuecwevRojB8/HgDQoUMH5OXlYeLEiZgxYwZUqpK3x9Hr9dDrOYCOaiirBVgzFsi/CIR3BsZ+W2YCAgAFhRYcTMvGjpQLuJBxAQCgMlkVWc8j1N+A9pH+aBrsAz+DbTaFEAKpeUw4iKhmcCsZ0el06NKlC7Zs2YKhQ4cCsN0VcsuWLZgyZYrLffLz80skHGq1bQiVqJbBaUTV7Mgm4MJhwBAAjF5XZiJy8kIeDqfn4MB527gnIQS0ahU6Ng5Azw4xUFVzMqJSSfA3aLiIGRHVaG530yQmJiIhIQFdu3ZFXFwc5s+fj7y8PHl2zZgxYxAZGYnk5GQAwODBgzFv3jxcd911cjfNc889h8GDB8tJCVFNZzRZ8Pe5LJzK1WDAvrnwBXCm2X04dc4K4ILLfc5nFeDc5QL5uZdOjW4xDRCq9oVKJSHIR8ckgYgIlUhGRowYgczMTMycORNpaWno3LkzNm3aJA9qPX36tFNLyLPPPgtJkvDss8/i3LlzaNSoEQYPHoy5c+dW3bsgqmaH03Pwx5kraJ15DL6XD8As6fCN7z24evJSufvqNCr0adUIbcP9IUlAaupVBSImIqo9KjWAdcqUKaV2y2zbts35BBoNkpKSkJSUVJlTEdUI9hvH9crfAgC4GD0QbVs0LXc/g0aF66MbQKu2JejsmiQiKonzvIgqwGyxQme9itaXtwIAQm9+EKExjTwcFRFR3VByKgsRlVBotqJd4T5oLAUQQc2A6F6eDomIqM5gMkJUASarFZ2v7rY9aXc31+EgIqpCTEaIKsBqLEBs4V+2J+3v9mwwRER1DJMRogoIzDsGDcwo1DcEQtp6OhwiojqFyQhRBQTlpQAA8hvEejgSIqK6h8kIURmEEDiYmo3AnCMAAGMQkxEioqrGqb1EZTiQloOCrCvobzwGALCGtPNwREREdQ9bRojKkF1gglqYEVp4GgAghXXwcERERHUPkxGiMpgtFoRZzkEtzDBr/WDxjfB0SEREdQ67aYjKUGgRaGy2tYrkB7Tg+iJERNWALSNEpRBCwGT+NxkpCGjl4YiIiOomJiNEpTBZBKwCaGw+BaCoZYSIiKockxGiUhjNZkiwItJ8BgCQz5YRIqJqwWSEqBSX8kwIly5Ch0JYNV4w+kZ6OiQiojqJyQhRKS7kFqKpKg0AYApqDUhqD0dERFQ3MRkhckEIgYt5RsRItmSkMJj3oyEiqi5MRohcuGqywGwRaKpKBQCYGrbxcERERHUXkxEiF/IKrQAEYoq6aQqZjBARVRsmI0Qu5BnNCJGuwFsywqrSwhTY3NMhERHVWUxGiFzIN5nlVpECv6aAWuvhiIiI6i4mI0Qu5F+1yMlIvj9bRYiIqhOTESIX8grN8rTevICWHo6GiKhuYzJC5EK+0YymqnTb9/5MRoiIqhOTEaJirEJAZ7qMACkPVkgo8G/q6ZCIiOo0JiNExRQUWtBEnAMAZGvDYFUbPBwREVHdxmSEqJg8owWNhW2xs8v6xh6Ohoio7mMyQlRMXqEZIbgIAMjWhXg4GiKiuo/JCFExBYVmNBK2ZCRHG+zhaIiI6j4mI0TF5BktCMUFAECutpGHoyEiqvuYjBA5KDRbYcy9iAbIhoCEK7pwT4dERFTnMRkhcnAsMwchhacBAFmaRjCrOJOGiKi6MRkhcpB91Yzoomm9lw1RHo6GiKh+YDJC5KCg0IxocRYAcFHfxMPREBHVD0xGiIoIIWAsFIiE7Z40l3WRHo6IiKh+YDJCVKTQLACY0QiXAADZulDPBkREVE8wGSEqUmAyIVS6DDWsMKv0yFcHejokIqJ6gckIUZGCQiuii+7Um+PVGJAkD0dERFQ/MBkhKnIxz4hm0nkAQJZPMw9HQ0RUfzAZIQJw/koBjqTnIkZlG7zKZISISDlMRogAZBWYACHQRJUBAMj24rReIiKlMBkhAmCxAgHIhp9UAAEJuV6c1ktEpBQmI0SwrTHSWKQCAHINEbCqdB6OiIio/mAyQgTAYhWIgi0ZyfHmMvBEREpiMkIEwAKB5uIUACDLu6mHoyEiql+YjBABsFgsaClOAAAu+cV6OBoiovqFyQgRgKCCs/BFPgqhY8sIEZHCmIwQAQjP+wcAcEYTDaHSeDgaIqL6hckIEYCIggMAgDMaLnZGRKQ0JiNEQqBxwSEAwCltcw8HQ0RU/zAZoXrP5+o5+FiyUQgNMrRceZWISGlMRqjea3T5dwBAihQDqDlehIhIaUxGqN4Lv/ALAGCP1BESJA9HQ0RU/zAZoXpNn3saAfknYYEav0sdoZKYjBARKY3JCNVrQWe3AAAOa9siV/KBmskIEZHimIxQ/XXlNEJPrAUA7Nb3AACo+BtBRKS4Sv3pXbBgAWJiYmAwGNC9e3fs3r27zPJXrlzB5MmTER4eDr1ej1atWmHjxo2VCpioSlitkDY+AbU5D2c0TbFf1w1qSAjw0no6MiKiesftqQOrV69GYmIiFi9ejO7du2P+/PmIj4/H4cOHERISUqJ8YWEhBgwYgJCQEHz++eeIjIzEqVOnEBgYWBXxE7nv7F7gu+mQzuyCVVLjffwHQlKhT2wjWK/mejo6IqJ6x+1kZN68eZgwYQLGjh0LAFi8eDE2bNiADz74ANOmTStR/oMPPsClS5ewY8cOaLW2/zpjYmKuLerqJgQ0WacAbTZgH0MgBAABzaVMGLIvQqPNBtSX/30dAIQVmosXbN+rLgKQAIgSx3ZxwmJPrdBeKDoO0kuNscxjuNzkqkxFjlNOmQq9p+oqIwAB6C5dtD0taFhyHwjgahaQnQqc3gkc/Mq2VeeLnyMfxPmzoYjy0SHQW4NLV12EQERE1cqtZKSwsBB79+7F9OnT5W0qlQr9+/fHzp07Xe7z1VdfoUePHpg8eTK+/PJLNGrUCCNHjsTTTz8NtVrtch+j0Qij0Sg/z87OdifMaxZ7+iOE7f62xHYJQGjRwxUJQMm2IfdJABpVwXHqCwlAsLs7dbwX1pufweZ1fwDIQItQXwDMRIiIPMGtZOTChQuwWCwIDXW+HIeGhuLQoUMu9zl+/Dh+/PFHjBo1Chs3bkRKSgomTZoEk8mEpKQkl/skJydj9uzZ7oRWZdTWQkSnfQcAEBovSDof+TUBwCoErBYrVGoVVCqV07oUAoDVagUAqNRqh1dczNBwOWtDcjiOBYBU7DgVPZarMuVuKDOmKi/jslzlYhKSBLPJBADQaLVFrxbbT+8H+IUBwS2B2EFAxHXIyr2KvKtmqCUJTYJ8kHWZyQgRkSdU+3KTVqsVISEheO+996BWq9GlSxecO3cOr776aqnJyPTp05GYmCg/z87ORlRUVHWHCgDQWfOhghVCUgHPnHeeXiEE0s6fR3p6OkJDQxEREVGsm0YgPTUVABAeHl7KhbQCquo49YUQyCyqL41vEExWV909xVwpwPnLeQAAX4MGWjXrmIjIU9xKRoKDg6FWq5Ge7jyOIT09HWFhYS73CQ8Ph1ardeqSadOmDdLS0lBYWAidTldiH71eD71e705oVUZrLQBgG08gMQmoVf4+l4W/L+dU+Odmb8XiDBoiIs9ya2qvTqdDly5dsGXLFnmb1WrFli1b0KNHD5f79OrVCykpKfIffgA4cuQIwsPDXSYinqa12JrqrVo/D0dC7sguMGH3cdsg1gAvLRp4V/ShQ0wjbw9HT0RUv7ndTZOYmIiEhAR07doVcXFxmD9/PvLy8uTZNWPGjEFkZCSSk5MBAA8//DDeeecdTJ06Ff/73/9w9OhRvPjii3jkkUeq9p1UEXvLiFXnA9fDa6mmyci+ilW/nQYARDbwwvCuURVqHbFardjnfQWZmZnVHSIREZXB7WRkxIgRyMzMxMyZM5GWlobOnTtj06ZN8qDW06dPQ+UwziIqKgrfffcdHnvsMXTs2BGRkZGYOnUqnn766ap7F1VIa7W1jAhd7WoZEUIg12iGfbiE0WTBP+ezkWs0ezYwBRxNz5G/7xwVyO41IqJaplIDWKdMmYIpU6a4fG3btm0ltvXo0QO//vprZU6lOHsyYtX6eiyGrAIT/jmXhawCExpmq8u9uJosAqcu5iHnat1PPMpyY4tGaBniuZ8bERFVTrXPpqltdPIAVp9ySrrv3JUCpGWVPn30cl4hUrOvIjP7KrIv2RY987+qr/B/+ipJgsqhaGiAAS1DfKFW1e2WAiEEkK9FIz8DW0WIiGohJiPFaEQhAMCqqfygxqsmC/ILzU4XxqwCE77YexaWCkw7lSQg2FePEH89IsKDyr3ASgDCAgyICvKGVl3/7vQmhEBqaoGnwyAiokpiMlKMJCy2b1TuD18tNFux+/gl7D97Gf5B+S6TiGA/PRr5up5FpFapEBFoQExDb2RdtA2qDA8P5n/7RERUpzEZKUYliqYgSxVPRixWgWOZudjw53lkXbxcajl/Ly2Gdo6An6HsdS2EEMiq8NmJiIhqNyYjxUiwJSNCKr+7QwiBs5cL8N0/aci5apbv4RYeYMD4fi2hroddJkRERO5iMlKMPRkpq2XEYrHiaHoONh67ilyjrVtHkgBfvQaD4prAz6CFqo4PGiUiIqoqTEaKkezNG6W0jJgtVnz153movAMR0DAUkiShcQMvDO4UAb1GhdSie6QQERFRxTAZKUbupillAGv2VRPyjRb4egPXRzfA9dEN4F80BkSICtygjYiIiJwwGSlGkgewum4ZKSi0vR7orUOfVo0404WIiOgacYRlMeWNGblqto0RMWh55xoiIqKqwGSkGPuYkdJm0xQUFiUjGlYdERFRVWA3TTFyy4jKuWpyjWb8eeYKdhyzLdPupWPLCBERUVVgMlKMyWy72dyeU1dw4Mej8pgQk0U4DVAN9tF7JD4iIqK6hslIMcZCEwDALFQwWQQcx6f66NVoEhmIwEgtYsP9PBQhERFR3cJkpBgJttaPhn5eeKB3U6fZMn56NVJTU5GebuYsGiIioirCZKQYVdGYEZVGjQAvrVPSwXVEiIiIqh6nhBQjr8AKDlAlIiJSApORYlTybBomI0REREpgMlKMvBw8q4aIiEgRvOIWY09GJLaMEBERKYLJSDH22TSlrcBKREREVYtX3GJUoux70xAREVHVYjJSjDxmhC0jREREiuAVtxh7Nw1n0xARESmDyUgx/3bTsGqIiIiUwCtuMfaWEc6mISIiUoYkasEa59nZ2QgICEBWVhb8/f2r9VxX3rwRgZf/REq/pWhx43+q9VxERER1WUWv32wZKUYSFttXtowQEREpgslIcYLLwRMRESmJyUgxbBkhIiJSFpOR4oqSES56RkREpAwmI8VI7KYhIiJSFJORYuzdNFCxaoiIiJTAK24x9pYRSaXxcCRERET1A5OR4uQBrKwaIiIiJfCKWwxbRoiIiJTFZKQYibNpiIiIFMVkpJh/W0aYjBARESmByUgx/86mYTJCRESkBCYjxdhbRlQcwEpERKQIXnFLI7FqiIiIlMArbnH2lhEmI0RERIrgFbcYCcL2DbtpiIiIFMErbnH22TSS5OFAiIiI6gcmI8XYUxCuwEpERKQMXnFLYMsIERGRkpiMFCMvesYVWImIiBTBZKQYe3uIii0jREREimAyUlxRywhn0xARESmDV9xi7FN7JRVbRoiIiJTAZKQYORlh1RARESmCV1xHQsjfcmovERGRMnjFdWQfLwJA4nLwREREiuAV15Fjywhn0xARESmCyYgjh5YR3rWXiIhIGbziOvm3ZYTJCBERkTIqdcVdsGABYmJiYDAY0L17d+zevbtC+61atQqSJGHo0KGVOW31c2oZYTcNERGREtxORlavXo3ExEQkJSXh999/R6dOnRAfH4+MjIwy9zt58iSeeOIJ3HjjjZUOtto5zaZhMkJERKQEt5ORefPmYcKECRg7dizatm2LxYsXw9vbGx988EGp+1gsFowaNQqzZ89Gs2bNringasUxI0RERIpz64pbWFiIvXv3on///v8eQKVC//79sXPnzlL3e/755xESEoJx48ZV6DxGoxHZ2dlOD2U4zqZhMkJERKQEt664Fy5cgMViQWhoqNP20NBQpKWludzn559/xvvvv48lS5ZU+DzJyckICAiQH1FRUe6EWXlcZ4SIiEhx1XrFzcnJwejRo7FkyRIEBwdXeL/p06cjKytLfpw5c6Yao3QgOJuGiIhIaRp3CgcHB0OtViM9Pd1pe3p6OsLCwkqUP3bsGE6ePInBgwfL26xWW+uDRqPB4cOH0bx58xL76fV66PV6d0KrGk4tIxzASkREpAS3/v3X6XTo0qULtmzZIm+zWq3YsmULevToUaJ8bGws/vrrL+zfv19+3Hnnnejbty/279+vXPdLJfDeNERERMpwq2UEABITE5GQkICuXbsiLi4O8+fPR15eHsaOHQsAGDNmDCIjI5GcnAyDwYD27ds77R8YGAgAJbbXBMJqgb09hHftJSIiUobbyciIESOQmZmJmTNnIi0tDZ07d8amTZvkQa2nT5+Gqpa2Kggh5GSEi54REREpQxLCcdRmzZSdnY2AgABkZWXB39+/2s5jzU6Dal5rCEgwzrgIg1ZdbeciIiKq6yp6/a6dTRjVxJ6XCVYLERGRYnjVdSCsFttX9tAQEREphsmIo6KpvQIqDhkhIiJSCJMRB0JeDl6CBGYjRERESmAy4kBYi8aMsFmEiIhIMUxGHAh5BVaJ3TREREQKYTLiyHHMiIdDISIiqi+YjDgS/3bT8N40REREymAy4khuGWEiQkREpBQmI04cZ9MQERGREpiMOBDWopYRieuMEBERKYXJiIN/Z9MQERGRUpiMOJDvTSOpOICViIhIIUxGHMk3ymMiQkREpBQmI44cFj0jIiIiZTAZcWAfM8Ll4ImIiJTDZMSR3DLCaiEiIlIKr7oO7Hft5ZgRIiIi5TAZcWRlNw0REZHSmIw4si/AypYRIiIixTAZcST+XYGViIiIlMGrrgOuwEpERKQ8JiMOHO9NQ0RERMrgVdfJv3ftJSIiImUwGXFkHzPCaiEiIlIMr7oO7N00bBghIiJSDpMRJ/ZFz1gtRERESuFV15F9Ng0XPSMiIlIMkxEHQnA5eCIiIqUxGXHElhEiIiLFMRlxwjEjRERESuNV15F9Ng27aYiIiBTDZMSBPGaE3TRERESKYTLihC0jRERESmMy4shqbxlhtRARESmFV10Hgi0jREREimMy4sjKMSNERERKYzLihC0jRERESmMy4uDf2TSsFiIiIqXwqutIsGWEiIhIaUxGHBW1jIAtI0RERIrhVdeBKGoZER6Og4iIqD5hMuJAYssIERGR4njVdSA4ZoSIiEhxTEYccTYNERGR4njVdcSWESIiIsUxGXFkT0aYixARESmGyYgjuZtG7eFAiIiI6g8mIw7sN8oTbBohIiJSDJMRR1Z7Nw2rhYiISCm86jqyL3rGZISIiEgxvOo6sc+mYbUQEREphVddR1b7AFaOGSEiIlIKkxFHwmL7ym4aIiIixfCq60hwACsREZHSeNV1ZF9nhNVCRESkmEpddRcsWICYmBgYDAZ0794du3fvLrXskiVLcOONN6JBgwZo0KAB+vfvX2Z5j5Jn03DMCBERkVLcTkZWr16NxMREJCUl4ffff0enTp0QHx+PjIwMl+W3bduG++67D1u3bsXOnTsRFRWFW2+9FefOnbvm4KuaYDcNERGR4ty+6s6bNw8TJkzA2LFj0bZtWyxevBje3t744IMPXJZfsWIFJk2ahM6dOyM2NhZLly6F1WrFli1brjn4qibZW0bYTUNERKQYt666hYWF2Lt3L/r37//vAVQq9O/fHzt37qzQMfLz82EymRAUFFRqGaPRiOzsbKeHEtgyQkREpDy3rroXLlyAxWJBaGio0/bQ0FCkpaVV6BhPP/00IiIinBKa4pKTkxEQECA/oqKi3Amz8uRkhGNGiIiIlKJoE8BLL72EVatWYd26dTAYDKWWmz59OrKysuTHmTNnFIlPYjJCRESkOI07hYODg6FWq5Genu60PT09HWFhYWXu+9prr+Gll17CDz/8gI4dO5ZZVq/XQ6/XuxNalRCc2ktERKQ4t666Op0OXbp0cRp8ah+M2qNHj1L3e+WVVzBnzhxs2rQJXbt2rXy01Y0tI0RERIpzq2UEABITE5GQkICuXbsiLi4O8+fPR15eHsaOHQsAGDNmDCIjI5GcnAwAePnllzFz5kysXLkSMTEx8tgSX19f+Pr6VuFbqQJFLSOQ1J6Ng4iIqB5xOxkZMWIEMjMzMXPmTKSlpaFz587YtGmTPKj19OnTUKn+bXBZtGgRCgsLMWzYMKfjJCUlYdasWdcWfVVjywgREZHi3E5GAGDKlCmYMmWKy9e2bdvm9PzkyZOVOYVnyCuwcswIERGRUnjVdWRvGWG1EBERKYZXXQf2Rc8kFauFiIhIKbzqOmI3DRERkeJ41XXEbhoiIiLF8arriLNpiIiIFMdkxJE9GeGYESIiIsXwquvIym4aIiIipfGq60jupmG1EBERKYVXXSec2ktERKQ0XnUdCCtbRoiIiJTGq64DyX6jPHA2DRERkVKYjDjhomdERERK41XXgShqGeGYESIiIuXwqutA4gqsREREiuNV15G86BnHjBARESmFyYgj+117JbWHAyEiIqo/mIw44r1piIiIFMdkxJHgbBoiIiKl8arryL7OCJMRIiIixfCq60geM8JqISIiUgqvuo7kMSMcwEpERKQUJiMOJHBqLxERkdKYjDiyr8DKbhoiIiLF8KrrSPCuvURERErjVdcRkxEiIiLF8arrQGIyQkREpDhedR3JU3s5gJWIiEgpTEaccAArERGR0njVdSSvwMp1RoiIiJTCZMSBxBvlERERKY7JiJOiMSMqVgsREZFSeNV1xOXgiYiIFMdkxIEkjxlhNw0REZFSmIw4sk/tVbFlhIiISClMRhzJ64ywWoiIiJTCq64D+a697KYhIiJSDJMRB/YxI+ymISIiUg6TEUfCYvvKbhoiIiLF8KrrQGU1275Raz0bCBERUT3CZMSBSphs3zAZISIiUgyTEQcqqy0ZkdQ6D0dCRERUfzAZcSAVddMwGSEiIlIOkxEH9m4alYbdNEREREphMuLAPoBVpdF7OBIiIqL6g8mIA3kAK1tGiIiIFMNkxIG6aACrimNGiIiIFMNkxM5qgQTbCqxqLZMRIiIipTAZsbMUyt9KGiYjRERESmEyUkQ4JCNqJiNERESKYTJSRJhN8vccM0JERKQcJiNFLGYjAMAKFVQa3rWXiIhIKUxGiliKWkasKi3UkuThaIiIiOoPJiN2ZtuYEYukgYrJCBERkWKYjBSxFA1gtUoaqFRMRoiIiJTCZKSI1VTUMqLi6qtERERKYjJSRJjtLSNMRoiIiJTEZKSIfZ0RodJ4OBIiIqL6pVLJyIIFCxATEwODwYDu3btj9+7dZZZfs2YNYmNjYTAY0KFDB2zcuLFSwVYnYcwBAJjVBg9HQkREVL+4nYysXr0aiYmJSEpKwu+//45OnTohPj4eGRkZLsvv2LED9913H8aNG4d9+/Zh6NChGDp0KP7+++9rDr4qqS4eAwBke0V5OBIiIqL6RRJCCHd26N69O7p164Z33nkHAGC1WhEVFYX//e9/mDZtWonyI0aMQF5eHr755ht52w033IDOnTtj8eLFLs9hNBphNBrl59nZ2YiKikJWVhb8/f3dCbdMl1J+Q/7ujyEJC8KOfQa1tRB/NB2HTgnzquwcRERE9VV2djYCAgLKvX671TJSWFiIvXv3on///v8eQKVC//79sXPnTpf77Ny506k8AMTHx5daHgCSk5MREBAgP6Kiqqe14mr6UTQ+8iEij34CtdU2ZiSrQYdqORcRERG55tZozQsXLsBisSA0NNRpe2hoKA4dOuRyn7S0NJfl09LSSj3P9OnTkZiYKD+3t4xUNUNEW5xp/zCEpAEkNfKC2iL2+jur/DxERERUuho5dUSv10Ov11f7eYKadkZQ087Vfh4iIiIqnVvdNMHBwVCr1UhPT3fanp6ejrCwMJf7hIWFuVWeiIiI6he3khGdTocuXbpgy5Yt8jar1YotW7agR48eLvfp0aOHU3kA2Lx5c6nliYiIqH5xu5smMTERCQkJ6Nq1K+Li4jB//nzk5eVh7NixAIAxY8YgMjISycnJAICpU6eiT58+eP311zFo0CCsWrUKe/bswXvvvVe174SIiIhqJbeTkREjRiAzMxMzZ85EWloaOnfujE2bNsmDVE+fPg2V6t8Gl549e2LlypV49tln8cwzz6Bly5ZYv3492rdvX3XvgoiIiGott9cZ8YSKzlMmIiKimqNa1hkhIiIiqmpMRoiIiMijmIwQERGRRzEZISIiIo9iMkJEREQexWSEiIiIPIrJCBEREXkUkxEiIiLyqBp5197i7OuyZWdnezgSIiIiqij7dbu89VVrRTKSk5MDAIiKivJwJEREROSunJwcBAQElPp6rVgO3mq14vz58/Dz84MkSVV23OzsbERFReHMmTNcZr6asa6VwXpWButZGaxn5VRXXQshkJOTg4iICKf71hVXK1pGVCoVGjduXG3H9/f35wddIaxrZbCelcF6VgbrWTnVUddltYjYcQArEREReRSTESIiIvKoep2M6PV6JCUlQa/XezqUOo91rQzWszJYz8pgPSvH03VdKwawEhERUd1Vr1tGiIiIyPOYjBAREZFHMRkhIiIij2IyQkRERB7FZISIiIg8qs4nIwsWLEBMTAwMBgO6d++O3bt3l1l+zZo1iI2NhcFgQIcOHbBx40aFIq3d3KnnJUuW4MYbb0SDBg3QoEED9O/fv9yfC/3L3c+03apVqyBJEoYOHVq9AdYR7tbzlStXMHnyZISHh0Ov16NVq1b8+1EB7tbz/Pnz0bp1a3h5eSEqKgqPPfYYrl69qlC0tdP27dsxePBgREREQJIkrF+/vtx9tm3bhuuvvx56vR4tWrTA8uXLqzdIUYetWrVK6HQ68cEHH4h//vlHTJgwQQQGBor09HSX5X/55RehVqvFK6+8Ig4cOCCeffZZodVqxV9//aVw5LWLu/U8cuRIsWDBArFv3z5x8OBBcf/994uAgABx9uxZhSOvfdyta7sTJ06IyMhIceONN4ohQ4YoE2wt5m49G41G0bVrV3H77beLn3/+WZw4cUJs27ZN7N+/X+HIaxd363nFihVCr9eLFStWiBMnTojvvvtOhIeHi8cee0zhyGuXjRs3ihkzZoi1a9cKAGLdunVllj9+/Ljw9vYWiYmJ4sCBA+Ltt98WarVabNq0qdpirNPJSFxcnJg8ebL83GKxiIiICJGcnOyy/PDhw8WgQYOctnXv3l08+OCD1RpnbeduPRdnNpuFn5+f+PDDD6srxDqjMnVtNptFz549xdKlS0VCQgKTkQpwt54XLVokmjVrJgoLC5UKsU5wt54nT54sbrnlFqdtiYmJolevXtUaZ11SkWTkqaeeEu3atXPaNmLECBEfH19tcdXZbprCwkLs3bsX/fv3l7epVCr0798fO3fudLnPzp07ncoDQHx8fKnlqXL1XFx+fj5MJhOCgoKqK8w6obJ1/fzzzyMkJATjxo1TIsxarzL1/NVXX6FHjx6YPHkyQkND0b59e7z44ouwWCxKhV3rVKaee/bsib1798pdOcePH8fGjRtx++23KxJzfeGJa2GtuGtvZVy4cAEWiwWhoaFO20NDQ3Ho0CGX+6Slpbksn5aWVm1x1naVqefinn76aURERJT48JOzytT1zz//jPfffx/79+9XIMK6oTL1fPz4cfz4448YNWoUNm7ciJSUFEyaNAkmkwlJSUlKhF3rVKaeR44ciQsXLqB3794QQsBsNuOhhx7CM888o0TI9UZp18Ls7GwUFBTAy8urys9ZZ1tGqHZ46aWXsGrVKqxbtw4Gg8HT4dQpOTk5GD16NJYsWYLg4GBPh1OnWa1WhISE4L333kOXLl0wYsQIzJgxA4sXL/Z0aHXKtm3b8OKLL2LhwoX4/fffsXbtWmzYsAFz5szxdGh0jepsy0hwcDDUajXS09OdtqenpyMsLMzlPmFhYW6Vp8rVs91rr72Gl156CT/88AM6duxYnWHWCe7W9bFjx3Dy5EkMHjxY3ma1WgEAGo0Ghw8fRvPmzas36FqoMp/p8PBwaLVaqNVqeVubNm2QlpaGwsJC6HS6ao25NqpMPT/33HMYPXo0xo8fDwDo0KED8vLyMHHiRMyYMQMqFf+/rgqlXQv9/f2rpVUEqMMtIzqdDl26dMGWLVvkbVarFVu2bEGPHj1c7tOjRw+n8gCwefPmUstT5eoZAF555RXMmTMHmzZtQteuXZUItdZzt65jY2Px119/Yf/+/fLjzjvvRN++fbF//35ERUUpGX6tUZnPdK9evZCSkiInewBw5MgRhIeHMxEpRWXqOT8/v0TCYU8ABe/5WmU8ci2stqGxNcCqVauEXq8Xy5cvFwcOHBATJ04UgYGBIi0tTQghxOjRo8W0adPk8r/88ovQaDTitddeEwcPHhRJSUmc2lsB7tbzSy+9JHQ6nfj8889Famqq/MjJyfHUW6g13K3r4jibpmLcrefTp08LPz8/MWXKFHH48GHxzTffiJCQEPHCCy946i3UCu7Wc1JSkvDz8xOffvqpOH78uPj+++9F8+bNxfDhwz31FmqFnJwcsW/fPrFv3z4BQMybN0/s27dPnDp1SgghxLRp08To0aPl8vapvU8++aQ4ePCgWLBgAaf2Xqu3335bNGnSROh0OhEXFyd+/fVX+bU+ffqIhIQEp/KfffaZaNWqldDpdKJdu3Ziw4YNCkdcO7lTz9HR0QJAiUdSUpLygddC7n6mHTEZqTh363nHjh2ie/fuQq/Xi2bNmom5c+cKs9mscNS1jzv1bDKZxKxZs0Tz5s2FwWAQUVFRYtKkSeLy5cvKB16LbN261eXfXHvdJiQkiD59+pTYp3PnzkKn04lmzZqJZcuWVWuMkhBs2yIiIiLPqbNjRoiIiKh2YDJCREREHsVkhIiIiDyKyQgRERF5FJMRIiIi8igmI0RERORRTEaIiIjIo5iMEBERkUcxGSEiIiKPYjJCREREHsVkhIiIiDzq/wF7MAks1UXoWAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sigma = 0.03360\n",
+      "Cond.Marginal= ['O1'] . Sigma=0.0336. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n",
+      "h=1. hist.sum=1.00\treg_hist = 1.11\n",
+      "h=2. hist.sum=1.00\treg_hist = 1.02\n",
+      "h=3. hist.sum=1.00\treg_hist = 0.87\n",
+      "h=4. hist.sum=1.00\treg_hist = 0.80\n",
+      "h=5. hist.sum=1.00\treg_hist = 1.47\n",
+      "h=6. hist.sum=1.00\treg_hist = 1.44\n",
+      "h=7. hist.sum=1.00\treg_hist = 0.56\n",
+      "h=8. hist.sum=1.00\treg_hist = 2.29\n",
+      "h=9. hist.sum=1.00\treg_hist = 1.51\n",
+      "error1 = 19.50618\n",
+      "error3 = 1.59757\n",
+      "error = 1.5975727512869051\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sigma = 0.03360\n",
+      "Cond.Marginal= ['O1'] . Sigma=0.0336. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n",
+      "h=1. hist.sum=1.00\treg_hist = 1.14\n",
+      "h=2. hist.sum=1.00\treg_hist = 0.90\n",
+      "h=3. hist.sum=1.00\treg_hist = 1.00\n",
+      "h=4. hist.sum=1.00\treg_hist = 1.06\n",
+      "h=5. hist.sum=1.00\treg_hist = 0.74\n",
+      "h=6. hist.sum=1.00\treg_hist = 0.46\n",
+      "h=7. hist.sum=1.00\treg_hist = 1.10\n",
+      "h=8. hist.sum=1.00\treg_hist = 1.26\n",
+      "h=9. hist.sum=1.00\treg_hist = -0.85\n",
+      "error1 = 19.50618\n",
+      "error3 = 1.32198\n",
+      "error = 1.3219764772008862\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Densities = {}\n",
+    "for eps in [0.1]:\n",
+    "    Densities[eps] = {}\n",
+    "    for seed in [0, 1, 2]:\n",
+    "        Densities[eps][seed] = []\n",
+    "        rho = cdp_rho(eps, 1e-9)\n",
+    "        np.random.seed(seed)\n",
+    "        sigma = get_sigma(rho/tree_height, sensitivity=np.sqrt(2) / N)\n",
+    "        print(f'sigma = {sigma:.5f}')\n",
+    "    \n",
+    "        bin_edges = _get_bin_edges(domain=data.domain, tree_height=tree_height)\n",
+    "        _, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=rho,\n",
+    "                                                      store_marginal_stats=True,\n",
+    "                                                      verbose=True)\n",
+    "        hist_tree = marginals_info[('O1',)]\n",
+    "        \n",
+    "        # q1, _, t1, priv_density1 = get_quantiles(hist_tree, num_quantiles=100)\n",
+    "    \n",
+    "        hist_tree_normed_clipped = post_histogram_tree(hist_tree, clip=True)\n",
+    "        q3, _, t3, priv_density3 = get_quantiles(hist_tree_normed_clipped, num_quantiles=100)\n",
+    "        print(f'error1 = {np.linalg.norm(np.array(density) - np.array(priv_density1)):.5f}')\n",
+    "        print(f'error3 = {np.linalg.norm(np.array(density) - np.array(priv_density3)):.5f}')\n",
+    "        Densities[eps][seed].append((t3, priv_density3))\n",
+    "\n",
+    "\n",
+    "    \n",
+    "        # plt.title(f'Priv Density Method 1. eps={eps}, seed={seed}')\n",
+    "        # plt.plot(t1, priv_density1, label='Priv Density', alpha=0.5)\n",
+    "        # plt.vlines(x=q1, ymin=0.5, ymax=1, colors='k', alpha=0.1)\n",
+    "        # plt.plot(threshold, density, label='Original Density')\n",
+    "        # plt.legend()\n",
+    "        # plt.show()\n",
+    "        \n",
+    "        plt.title(f'Priv Density Method 3. eps={eps}, seed={seed}')\n",
+    "        plt.plot(t3, priv_density3, label='Priv Density 3', alpha=0.5)\n",
+    "        plt.vlines(x=q3, ymin=0.5, ymax=1, colors='k', alpha=0.1)\n",
+    "        plt.plot(threshold, density, label='Original Density')\n",
+    "        plt.legend()\n",
+    "        plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "3abe9131-ac3d-4aa1-8a7f-1a6ab6086249",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  ...]}"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hist_tree_normed_clipped['stats']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0fff510c-5e1c-4902-8ec5-305c903d9dd8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b486e30-f0bd-4153-9ea6-ef2f1ebae2ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Fit GSD here on all binary tree queries."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "id": "54395c57-7c91-4502-9123-67e1fc325e20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "    \n",
+    "def plot_density(values, sync_values, data_range):\n",
+    "    N = values.shape[0]\n",
+    "    N_sync = sync_values.shape[0]\n",
+    "\n",
+    "    num_bins = 10000\n",
+    "    bin_edges = np.linspace(0, data_range, num_bins)\n",
+    "    T = bin_edges[:-1]\n",
+    "\n",
+    "    hist = np.histogram(values, bins=bin_edges)[0] / N\n",
+    "    density = hist.cumsum()\n",
+    "\n",
+    "    hist_sync = np.histogram(sync_values, bins=bin_edges)[0] / N_sync\n",
+    "    density_sync = hist_sync.cumsum()\n",
+    "    \n",
+    "    error = np.linalg.norm(np.array(density) - np.array(density_sync))\n",
+    "    error_max = np.abs(np.array(density) - np.array(density_sync)).max()\n",
+    "\n",
+    "    print(f'error = {error:.5f}, error_max={error_max:.5f}')\n",
+    "    \n",
+    "    ## Plot histogram\n",
+    "    fig, axs = plt.subplots(1, 3)\n",
+    "    fig.set_figwidth(10)\n",
+    "    axs[0].bar(T, hist, width=data_range/100)\n",
+    "\n",
+    "    axs[1].bar(T, hist_sync, width=data_range/100)\n",
+    "\n",
+    "    axs[2].plot(T, density, label='Real')\n",
+    "    axs[2].plot(T, density_sync, label='Sync')\n",
+    "    plt.legend()\n",
+    "    # plt.yticks([])\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "8b5a13a0-2e4d-4184-92b9-450e94121173",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen=      1000: fitness=377.021888. fitness change=0.99999962  Strategy weights:  [1.] time=1.57 (s)\n",
+      "Gen=      2000: fitness=371.692993. fitness change=0.01413418  Strategy weights:  [1.] time=2.69 (s)\n",
+      "Gen=      3000: fitness=370.910215. fitness change=0.00210598  Strategy weights:  [1.] time=3.74 (s)\n",
+      "Gen=      4000: fitness=370.738707. fitness change=0.00046240  Strategy weights:  [1.] time=4.81 (s)\n",
+      "Gen=      5000: fitness=370.676965. fitness change=0.00016654  Strategy weights:  [1.] time=5.88 (s)\n",
+      "Gen=      6000: fitness=370.658191. fitness change=0.00005065  Strategy weights:  [1.] time=6.93 (s)\n",
+      "\t\t ### Stop early at 6000 ###\n"
+     ]
+    }
+   ],
+   "source": [
+    "density_fn_params = []\n",
+    "priv_density = []\n",
+    "# Save threshold for computing the density function\n",
+    "col_id = data.domain.get_attribute_index('O1')\n",
+    "for q, d in zip(t1, priv_density1):\n",
+    "    density_fn_params.append([col_id, q])\n",
+    "    priv_density.append(d)103..2\n",
+    "priv_density_np = jnp.array(priv_density)\n",
+    "density_fn = _get_density_fn(jnp.array(density_fn_params))\n",
+    "\n",
+    "\n",
+    "sync_data_1 = generate(jax.random.PRNGKey(0),\n",
+    "                                domain=domain,\n",
+    "                                N_prime=1000,\n",
+    "                                num_generations=50000000,\n",
+    "                                private_statistics=priv_density_np,\n",
+    "                                statistics_fn=density_fn,\n",
+    "                                # genetic_operators=genetic_operators,\n",
+    "                                # early_stop_threshold=early_stop_threshold,\n",
+    "                                print_progress=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "id": "f4585304-3e41-49d6-970e-508e444fc1bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "error = 7.52954, error_max=0.24060\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_density(values, sync_data_1.df.values.squeeze(), 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "12ddd323-6fb0-4fa6-ba80-dfd1da882b1c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "density_fn_params = []\n",
+    "priv_density = []\n",
+    "\n",
+    "# thres_q, den_q, thres_all, density_all = get_quantiles(marginals_info[(col,)], 200)\n",
+    "\n",
+    "# Save threshold for computing the density function\n",
+    "col_id = data.domain.get_attribute_index('O1')\n",
+    "for q, d in zip(t1, priv_density3):\n",
+    "    density_fn_params.append([col_id, q])\n",
+    "    priv_density.append(d)\n",
+    "priv_density_np = jnp.array(priv_density)\n",
+    "density_fn = _get_density_fn(jnp.array(density_fn_params))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "8d8e187c-13c1-473d-afbd-751e9b147b57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen=      1000: fitness=1.03503322. fitness change=1.00000000  Strategy weights:  [1.] time=1.53 (s)\n",
+      "Gen=      2000: fitness=0.197918708. fitness change=0.80878033  Strategy weights:  [1.] time=2.61 (s)\n",
+      "Gen=      3000: fitness=0.0802113759. fitness change=0.59472565  Strategy weights:  [1.] time=3.56 (s)\n",
+      "Gen=      4000: fitness=0.0320338839. fitness change=0.60063166  Strategy weights:  [1.] time=4.51 (s)\n",
+      "Gen=      5000: fitness=0.0162146195. fitness change=0.49382911  Strategy weights:  [1.] time=5.47 (s)\n",
+      "Gen=      6000: fitness=0.0092605368. fitness change=0.42887733  Strategy weights:  [1.] time=6.42 (s)\n",
+      "Gen=      7000: fitness=0.00521457572. fitness change=0.43690351  Strategy weights:  [1.] time=7.37 (s)\n",
+      "Gen=      8000: fitness=0.00266967661. fitness change=0.48803570  Strategy weights:  [1.] time=8.32 (s)\n",
+      "Gen=      9000: fitness=0.00144242073. fitness change=0.45970208  Strategy weights:  [1.] time=9.29 (s)\n",
+      "Gen=     10000: fitness=0.000912529142. fitness change=0.36736271  Strategy weights:  [1.] time=10.25(s)\n",
+      "Gen=     11000: fitness=0.000558917555. fitness change=0.38750717  Strategy weights:  [1.] time=11.23(s)\n",
+      "Gen=     12000: fitness=0.000374753566. fitness change=0.32950117  Strategy weights:  [1.] time=12.24(s)\n",
+      "Gen=     13000: fitness=0.000280336556. fitness change=0.25194426  Strategy weights:  [1.] time=13.20(s)\n",
+      "Gen=     14000: fitness=0.000245129264. fitness change=0.12558937  Strategy weights:  [1.] time=14.16(s)\n",
+      "Gen=     15000: fitness=0.00019868121. fitness change=0.18948392  Strategy weights:  [1.] time=15.11(s)\n",
+      "Gen=     16000: fitness=0.000188291797. fitness change=0.05229187  Strategy weights:  [1.] time=16.06(s)\n",
+      "Gen=     17000: fitness=0.000177330033. fitness change=0.05821690  Strategy weights:  [1.] time=17.02(s)\n",
+      "Gen=     18000: fitness=0.000157707646. fitness change=0.11065462  Strategy weights:  [1.] time=17.97(s)\n",
+      "Gen=     19000: fitness=0.000149055169. fitness change=0.05486403  Strategy weights:  [1.] time=18.92(s)\n",
+      "Gen=     20000: fitness=0.00014532452. fitness change=0.02502865  Strategy weights:  [1.] time=19.94(s)\n",
+      "Gen=     21000: fitness=0.000144793173. fitness change=0.00365628  Strategy weights:  [1.] time=21.07(s)\n",
+      "Gen=     22000: fitness=0.000143697628. fitness change=0.00756628  Strategy weights:  [1.] time=22.06(s)\n",
+      "Gen=     23000: fitness=0.000129774885. fitness change=0.09688916  Strategy weights:  [1.] time=23.01(s)\n",
+      "Gen=     24000: fitness=0.000127354417. fitness change=0.01865128  Strategy weights:  [1.] time=23.97(s)\n",
+      "Gen=     25000: fitness=0.000125668781. fitness change=0.01323579  Strategy weights:  [1.] time=24.97(s)\n",
+      "Gen=     26000: fitness=0.000124516834. fitness change=0.00916653  Strategy weights:  [1.] time=26.05(s)\n",
+      "Gen=     27000: fitness=0.000124352993. fitness change=0.00131582  Strategy weights:  [1.] time=27.12(s)\n",
+      "Gen=     28000: fitness=0.000124268533. fitness change=0.00067919  Strategy weights:  [1.] time=28.10(s)\n",
+      "Gen=     29000: fitness=0.000123317746. fitness change=0.00765107  Strategy weights:  [1.] time=29.14(s)\n",
+      "Gen=     30000: fitness=0.000123317746. fitness change=0.00000000  Strategy weights:  [1.] time=30.20(s)\n",
+      "\t\t ### Stop early at 30000 ###\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "sync_data_2 = generate(jax.random.PRNGKey(0),\n",
+    "                                domain=domain,\n",
+    "                                N_prime=1000,\n",
+    "                                num_generations=50000000,\n",
+    "                                private_statistics=priv_density_np,\n",
+    "                                statistics_fn=density_fn,\n",
+    "                                # genetic_operators=genetic_operators,\n",
+    "                                # early_stop_threshold=early_stop_threshold,\n",
+    "                                print_progress=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "id": "63868486-7c88-443e-9d7e-fef7f23a03c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "error = 4.14863, error_max=0.12860\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "    # plt.plot(T, density, label='True Density')\n",
+    "    # # plt.plot(T, noisy_density_post, label='Post-Noisy')\n",
+    "\n",
+    "    # plt.legend()\n",
+    "    # plt.show()\n",
+    "\n",
+    "plot_density(values, sync_data_2.df.values.squeeze(), 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5d8a761-76fe-47b5-862a-474eebb1cd21",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/synth/snsynth/gsd/utils/test/debug/Untitled.ipynb b/synth/snsynth/gsd/utils/test/debug/Untitled.ipynb
new file mode 100644
index 00000000..8a7516d1
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/debug/Untitled.ipynb
@@ -0,0 +1,2924 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "660a8717-f866-44ad-bb19-4f521e795951",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import subprocess\n",
+    "import os\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import jax.numpy as jnp\n",
+    "import jax\n",
+    "# from snsynth.gsd import GSDSynthesizer\n",
+    "from snsynth.gsd.utils.dataset_jax import Dataset, Domain\n",
+    "from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, get_quantiles\n",
+    "from snsynth.utils import cdp_rho\n",
+    "import matplotlib.pyplot as plt\n",
+    "from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles\n",
+    "\n",
+    "from snsynth.gsd.utils.utils import get_sigma, _divide_privacy_budget\n",
+    "from snsynth.utils import gaussian_noise\n",
+    "from scipy.optimize import minimize, rosen, rosen_der"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "id": "05427592-9bbf-421c-a6ba-66ccbc45ac18",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.39333\n"
+     ]
+    }
+   ],
+   "source": [
+    "def psi(x):\n",
+    "    # print(x)\n",
+    "    temp = np.where(x>= 0, np.log(1+x+x**2/2), -np.log(1-x+x**2/2))\n",
+    "    # print(temp)\n",
+    "    return temp\n",
+    "\n",
+    "    \n",
+    "\n",
+    "def robust_mean_est(values, variances, data_range, mean_candidates=None):\n",
+    "    if mean_candidates is None:\n",
+    "        mean_candidates = np.linspace(0, data_range, 100001)\n",
+    "    n = len(values)\n",
+    "    def r(theta):\n",
+    "        r_val=0\n",
+    "        for x, var in zip(values, variances):\n",
+    "            alpha = np.sqrt(2  / (n * var))\n",
+    "            r_val += psi(alpha * (x - theta))\n",
+    "        return r_val\n",
+    "    R = r(mean_candidates)\n",
+    "    # print('R=', R)\n",
+    "    best_mean = np.argmin(np.abs(R))\n",
+    "    return mean_candidates[best_mean]\n",
+    "\n",
+    "\n",
+    "def weighted_est(values, variaces):\n",
+    "    values = np.array(values)\n",
+    "    vars = np.array(variances)\n",
+    "    weights = vars / vars.sum()\n",
+    "\n",
+    "    mean = np.dot(values, weights)\n",
+    "    return mean\n",
+    "\n",
+    "\n",
+    "\n",
+    "print(robust_mean_est([0.4, 0.36, 0.4, 0.37, 0.41, 0.42], [1, 1, 1, 1, 1, 1], 1))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a3f9ebcd-9e2b-4945-89b2-e31dddce5321",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# errors_trivial = []\n",
+    "# errors_weighted = []\n",
+    "# errors_catoni = []\n",
+    "# errors_first_mean = []\n",
+    "\n",
+    "\n",
+    "\n",
+    "data_range = 0.1\n",
+    "M = 0.02\n",
+    "\n",
+    "np.random.seed(0)\n",
+    "sigmas = [0.00001, 0.0001, 0.001, 0.01, 0.1, 1, 10]\n",
+    "\n",
+    "for init_sigma in sigmas:\n",
+    "    tries = 1000\n",
+    "    mean_trivial = np.zeros(tries)\n",
+    "    mean_trivial_clip = np.zeros(tries)\n",
+    "    mean_first_mean = np.zeros(tries)\n",
+    "    mean_first_mean_clip =np.zeros(tries)\n",
+    "    mean_catoni = np.zeros(tries)\n",
+    "    mean_catoni_clip = np.zeros(tries)\n",
+    "    errors = {}\n",
+    "    \n",
+    "    for i in range(1000):\n",
+    "        T = 14\n",
+    "        values = np.array([M + np.sqrt(init_sigma * (2** t)) * np.random.randn() for t in range(1, T)])\n",
+    "        values_clip = np.clip(values, 0, data_range)\n",
+    "        variances = np.array([np.sqrt(init_sigma * (2** t))  for t in range(1, T)])\n",
+    "        \n",
+    "        # print(f'secret_mean={secret_mean}, empirical mean={np.mean(values)}')\n",
+    "\n",
+    "        mean_trivial[i] =  np.mean(values)\n",
+    "        mean_trivial_clip[i] = np.mean(values_clip)\n",
+    "        mean_first_mean[i] = values[0]\n",
+    "        mean_first_mean_clip[i] = values_clip[0]\n",
+    "        mean_catoni[i] = robust_mean_est(values, variances, data_range)\n",
+    "        mean_catoni_clip[i] = robust_mean_est(values_clip, variances, data_range)\n",
+    "\n",
+    "\n",
+    "    def print_bias_var(means):\n",
+    "        print(f'\\tbias={np.clip(np.mean(means), 0, data_range) - M:<2.6f}, variance={np.abs(np.clip(means,0, data_range)-M).mean():.6f}')\n",
+    "\n",
+    "\n",
+    "    print(f'\\ninit_sigma={init_sigma:.5f}')\n",
+    "\n",
+    "    print(f'Trivial')\n",
+    "    print_bias_var(mean_trivial)\n",
+    "    print(f'Trivial(clip)')\n",
+    "    print_bias_var(mean_trivial_clip)\n",
+    "\n",
+    "    print(f'first mean')\n",
+    "    print_bias_var(mean_first_mean)\n",
+    "    \n",
+    "    print(f'first mean(clip)')\n",
+    "    print_bias_var(mean_first_mean_clip)\n",
+    "\n",
+    "    print(f'Catoni')\n",
+    "    print_bias_var(mean_catoni)\n",
+    "    \n",
+    "    print(f'Catoni(clip)')\n",
+    "    print_bias_var(mean_catoni_clip)\n",
+    "    \n",
+    "\n",
+    "    # print(f'first            : bias={np.mean(mean_first_mean) - M:<2.4f}, variance={np.abs(mean_first_mean-M).mean():.4f}')\n",
+    "    # print(f'first(clip)      : bias={np.mean(mean_first_mean_clip) - M:<2.4f}, variance={np.abs(mean_first_mean_clip-M).mean():.4f}')\n",
+    "\n",
+    "    # print(f'catoni           : bias={np.mean(mean_catoni) - M:<2.4f}, variance={np.abs(mean_catoni-M).mean()}:.4f')\n",
+    "    # print(f'catoni(clip)     : bias={np.mean(mean_catoni_clip) - M:<2.4f}, variance={np.abs(mean_catoni_clip-M).mean():.4f}')\n",
+    "\n",
+    "    \n",
+    "    # print(f'error(trival_mean_est)  = {np.mean(errors_trivial):.4f} ({np.std(errors_trivial):.4f})')\n",
+    "    # print(f'error(first mean)       = {np.mean(errors_first_mean):.4f} ({np.std(errors_first_mean):.4f})')\n",
+    "    # print(f'error(catoni)           = {np.mean(errors_catoni):.4f} ({np.std(errors_catoni):.4f})')\n",
+    "    # print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "1ae5f15a-abdc-4c80-a41e-1850109c6894",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.6972090589610946"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "89838cdc-dc4e-411e-b01c-d96ec657f20a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.0098119  0.00884579 0.01085647 ... 0.69855316 0.70008102 0.6999226 ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "    \n",
+    "def naive_density(values, data_range, eps):\n",
+    "    N = values.shape[0]\n",
+    "    rho = cdp_rho(eps, 1e-9)\n",
+    "    sigma = get_sigma(rho, sensitivity=np.sqrt(2) / N)\n",
+    "\n",
+    "    num_bins = 10000\n",
+    "    bin_edges = np.linspace(0, data_range, num_bins)\n",
+    "\n",
+    "    T = bin_edges[:-1]\n",
+    "    \n",
+    "    hist = np.histogram(values, bins=bin_edges)[0] / N\n",
+    "    density = hist.cumsum()\n",
+    "\n",
+    "    noisy_hist = hist + gaussian_noise(sigma=sigma, size=hist.shape[0])  # Add DP\n",
+    "    noisy_density = noisy_hist.cumsum()\n",
+    "\n",
+    "    ## Plot histogram\n",
+    "    fig, axs = plt.subplots(1, 2)\n",
+    "    fig.set_figwidth(10)\n",
+    "    axs[0].bar(T, hist, width=data_range/100)\n",
+    "    axs[1].bar(T, noisy_hist, width=data_range/100)\n",
+    "    # axs[2].bar(T, noisy_density_post, width=data_range/100)\n",
+    "    # plt.yticks([])\n",
+    "    plt.show()\n",
+    "\n",
+    "    plt.plot(T, density, label='True Density')\n",
+    "    plt.plot(T, noisy_density, label='Noisy')\n",
+    "    # plt.plot(T, noisy_density_post, label='Post-Noisy')\n",
+    "\n",
+    "    plt.legend()\n",
+    "    plt.show()\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "np.random.seed(0)\n",
+    "data_range = 1\n",
+    "meta_data = {'O1': {'type': 'float', 'size': data_range}}\n",
+    "values = np.concatenate((\n",
+    "    # 10 * np.ones(5000).astype(int),\n",
+    "                         np.random.randint(1, 2, size=(6000,)),\n",
+    "                         # np.random.randint(1000, 2000, size=(200,)),\n",
+    "                         np.random.randint(500, 510, size=(2000,)),\n",
+    "                         np.random.randint(8500, 9500, size=(2000,))\n",
+    "                         ))\n",
+    "\n",
+    "\n",
+    "values = np.clip(np.concatenate((\n",
+    "    # 10 * np.ones(5000).astype(int),\n",
+    "                         0.001 * np.random.randn(6000) + 0.01,\n",
+    "                         # np.random.randint(1000, 2000, size=(200,)),\n",
+    "                         0.01 * np.random.randn(2000) + 0.3,\n",
+    "                         0.001 * np.random.randn(2000) + 0.7\n",
+    "                         )), 0, 1)\n",
+    "\n",
+    "\n",
+    "print(values)\n",
+    "df = pd.DataFrame({'O1': values})\n",
+    "domain = Domain(config=meta_data)\n",
+    "data = Dataset(df, domain)\n",
+    "N= len(df)\n",
+    "\n",
+    "\n",
+    "# for eps in [0.1, 1.0, 100.0]:\n",
+    "#     naive_density(data.df.values, data_range, eps)\n",
+    "    # continue\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "e15953a2-2168-4b84-97b9-d5e0d2a40a5a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cond.Marginal= ['O1'] . Sigma=0.0000. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "def post_histogram_tree(hist_tree: dict, clip=False):\n",
+    "    # normalize_hist_tree = {}\n",
+    "\n",
+    "    H = hist_tree['tree_height']\n",
+    "\n",
+    "    # First level must add up to 1\n",
+    "    hist0 = np.array(hist_tree['stats'][0])\n",
+    "    if clip:\n",
+    "        hist0 = np.clip(hist0, 0, 1)\n",
+    "    hist0 = hist0 / hist0.sum()\n",
+    "    hist_tree['stats'][0] = hist0\n",
+    "\n",
+    "    for h in range(1, H):\n",
+    "        reg_hist = np.array(hist_tree['stats'][h])\n",
+    "        # normalized_hist = np.clip(np.array(hist_tree['stats'][h]), 0, 1)\n",
+    "        normalized_hist = np.array(hist_tree['stats'][h])\n",
+    "        hist_len = normalized_hist.shape[0]\n",
+    "\n",
+    "        for i in range(0, hist_len, 2):\n",
+    "            parent_i = i // 2\n",
+    "            parent_stat = hist_tree['stats'][h-1][parent_i]\n",
+    "\n",
+    "            \n",
+    "            \n",
+    "            if clip:\n",
+    "                assert parent_stat>=0\n",
+    "            child_hist = normalized_hist[i:i+2]\n",
+    "            if clip:\n",
+    "                child_hist = np.clip(child_hist, 0, parent_stat)\n",
+    "            if child_hist.sum() < 1e-9:\n",
+    "                normalized_hist[i:i+2] = parent_stat * np.ones(2) / 2\n",
+    "            else:\n",
+    "                child_hist = parent_stat * child_hist / child_hist.sum()\n",
+    "                normalized_hist[i:i+2] = child_hist\n",
+    "\n",
+    "        print(f'h={h}. hist.sum={normalized_hist.sum():.2f}\\treg_hist = {reg_hist.sum():.2f}')\n",
+    "        hist_tree['stats'][h] = list(normalized_hist)\n",
+    "\n",
+    "    return hist_tree\n",
+    "\n",
+    "\n",
+    "\n",
+    "def post_histogram_tree2(hist_tree_arg: dict, sigma: float, clip=False):\n",
+    "    # normalize_hist_tree = {}\n",
+    "    H = hist_tree_arg['tree_height']\n",
+    "\n",
+    "    hist_tree = [np.array([1])]\n",
+    "    for h in range(0, H):\n",
+    "        hist_tree.append(np.array(hist_tree_arg['stats'][h]))\n",
+    "\n",
+    "        \n",
+    "    for h in range(1, H):\n",
+    "        reg_hist = np.array(hist_tree[h])\n",
+    "        # normalized_hist = np.clip(np.array(hist_tree['stats'][h]), 0, 1)\n",
+    "        normalized_hist = np.array(hist_tree[h])\n",
+    "        hist_len = normalized_hist.shape[0]\n",
+    "        # print(f'hist_tree[{h}]=',hist_tree[h])\n",
+    "        # print(f'h={h}')\n",
+    "        # Update stimate of each root at level h\n",
+    "        for i in range(0, hist_len):\n",
+    "            parent_stat = hist_tree[h-1][i//2] \n",
+    "            # sum = hist_tree[h][i]\n",
+    "            if h <= 3:\n",
+    "                print(f'\\troot_org[h={h}, i={i}] = {hist_tree[h][i]:.4f}, parent_stat={parent_stat:.4f}')\n",
+    "\n",
+    "            estimates = [np.clip(hist_tree[h][i], 0, parent_stat)]\n",
+    "            variances = [sigma]\n",
+    "            for j, h2 in enumerate(range(h+1, H)):\n",
+    "                lo = 2**(j+1) * i\n",
+    "                hi = 2**(j+1) * i + 2**(j+1)\n",
+    "                estimate = hist_tree[h2][lo:hi].sum()\n",
+    "                estimate_clip = np.clip(estimate, 0, parent_stat)\n",
+    "                # print(f'\\t\\testimate[h={h2}, {lo}:{hi}] = {estimate:.4f}')\n",
+    "                # sum += estimate_clip\n",
+    "                estimates.append(estimate_clip)\n",
+    "                variances.append((sigma**2) * (2**(j+1)))\n",
+    "            root_avg = np.mean(estimates)\n",
+    "            cat_avg = robust_mean_est(estimates, variances, parent_stat)\n",
+    "            if h <= 3:\n",
+    "                print(f'\\t\\troot_avg[h={h}, i={i}] = {root_avg:.4f}, cat_avg={cat_avg:.4f}, parent_stat={parent_stat:.4f}')\n",
+    "            hist_tree[h][i] = estimates[0]\n",
+    "\n",
+    "        \n",
+    "        # print(f'\\n')\n",
+    "        for i in range(0, hist_len, 2):\n",
+    "            parent_i = i // 2\n",
+    "            parent_stat = hist_tree[h-1][parent_i]\n",
+    "            \n",
+    "            if clip:\n",
+    "                assert parent_stat>=0\n",
+    "            child_hist = normalized_hist[i:i+2]\n",
+    "            if clip: child_hist = np.clip(child_hist, 0, parent_stat)\n",
+    "            if child_hist.sum() < 1e-9: normalized_hist[i:i+2] = parent_stat * np.ones(2) / 2\n",
+    "            else:\n",
+    "                child_hist = parent_stat * child_hist / child_hist.sum()\n",
+    "                normalized_hist[i:i+2] = child_hist\n",
+    "\n",
+    "        print(f'h={h}. hist.sum={normalized_hist.sum():.2f}\\treg_hist = {reg_hist.sum():.2f}, min={normalized_hist.min()}')\n",
+    "        hist_tree[h] = list(normalized_hist)\n",
+    "\n",
+    "        hist_tree_arg['stats'][h-1] = list(hist_tree[h])\n",
+    "\n",
+    "    return hist_tree_arg\n",
+    "\n",
+    "tree_height = 10\n",
+    "bin_edges = _get_bin_edges(domain=data.domain, tree_height=tree_height)\n",
+    "_, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=None,\n",
+    "                                              store_marginal_stats=True,\n",
+    "                                              verbose=True)\n",
+    "\n",
+    "# sigma = get_sigma(rho/tree_height, sensitivity=np.sqrt(2) / N)\n",
+    "# print(f'Debug: sigma={sigma}.')\n",
+    "# post_histogram_tree2(marginals_info[('O1',)], sigma)\n",
+    "\n",
+    "\n",
+    "_, _, threshold, density = get_quantiles(marginals_info[('O1',)], num_quantiles=100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "746f55f8-cfce-4dfb-9c39-ed2a6cacc393",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def get_stat(data_arg, tree_height_arg, rho_1):\n",
+    "    dim = len(data_arg.domain.attrs)\n",
+    "    numeric_features = data_arg.domain.get_numeric_features()\n",
+    "    bin_edges = _get_bin_edges(domain=data_arg.domain, tree_height=tree_height_arg)\n",
+    "\n",
+    "    _, _, marginals_info = _get_mixed_marginal_fn(data_arg, k=1, bin_edges=bin_edges, rho=rho_1,\n",
+    "                                                           store_marginal_stats=True,\n",
+    "                                                                           features=numeric_features,\n",
+    "                                                               verbose=True)\n",
+    "\n",
+    "    # Compute density function\n",
+    "    density_fn_params = []\n",
+    "    priv_density = []\n",
+    "    for col in numeric_features:\n",
+    "        thres_q, den_q, thres_all, density_all = get_quantiles(marginals_info[(col,)], 200)\n",
+    "        # Save threshold for computing the density function\n",
+    "        col_id = data.domain.get_attribute_index(col)\n",
+    "        for q, d in zip(thres_q, den_q):\n",
+    "            density_fn_params.append([col_id, q])\n",
+    "            priv_density.append(d)\n",
+    "    \n",
+    "        # Store column histogram bin edges\n",
+    "        numeric_features_bin_edges[col] = jnp.array(thres_q)\n",
+    "    \n",
+    "    \n",
+    "    # Obtain first moment statistics and function.\n",
+    "    priv_density_np = jnp.array(priv_density)\n",
+    "    density_fn = _get_density_fn(jnp.array(density_fn_params))\n",
+    "    \n",
+    "    # Special case: 1-dimensional numeric dataset\n",
+    "    if dim == 1:\n",
+    "        return priv_density_np, density_fn, numeric_features_bin_edges\n",
+    "\n",
+    "\n",
+    "    priv_stats_2k, stat_fn_2k = _get_mixed_marginal_fn(data_arg, k=2, \n",
+    "                                                       bin_edges=bin_edges, \n",
+    "                                                       rho=rho_2,\n",
+    "                                                       verbose=True)\n",
+    "\n",
+    "    # Combine first and second moment statistics\n",
+    "    def stat_fn_all(X):\n",
+    "        stat_1k = density_fn(X)\n",
+    "        stat_2k = stat_fn_2k(X)\n",
+    "        return jnp.concatenate((stat_1k, stat_2k))\n",
+    "\n",
+    "    # General case: d-dimensional mixed-type dataset:\n",
+    "    priv_stats_all = jnp.concatenate((jnp.array(priv_density_np), jnp.array(priv_stats_2k)))\n",
+    "    return priv_stats_all, stat_fn_all, numeric_features_bin_edges"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "2fb52058-0b53-4b64-8d51-e36784518a3b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sigma = 0.03360\n",
+      "Cond.Marginal= ['O1'] . Sigma=0.0336. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n",
+      "h=1. hist.sum=1.00\treg_hist = 0.97\n",
+      "h=2. hist.sum=1.00\treg_hist = 0.89\n",
+      "h=3. hist.sum=1.00\treg_hist = 0.98\n",
+      "h=4. hist.sum=1.00\treg_hist = 0.90\n",
+      "h=5. hist.sum=1.00\treg_hist = 1.50\n",
+      "h=6. hist.sum=1.00\treg_hist = 1.11\n",
+      "h=7. hist.sum=1.00\treg_hist = 0.28\n",
+      "h=8. hist.sum=1.00\treg_hist = 0.77\n",
+      "h=9. hist.sum=1.00\treg_hist = 1.68\n",
+      "error1 = 19.50618\n",
+      "error3 = 0.59618\n",
+      "error = 0.5961797090353367\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sigma = 0.03360\n",
+      "Cond.Marginal= ['O1'] . Sigma=0.0336. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n",
+      "h=1. hist.sum=1.00\treg_hist = 1.11\n",
+      "h=2. hist.sum=1.00\treg_hist = 1.02\n",
+      "h=3. hist.sum=1.00\treg_hist = 0.87\n",
+      "h=4. hist.sum=1.00\treg_hist = 0.80\n",
+      "h=5. hist.sum=1.00\treg_hist = 1.47\n",
+      "h=6. hist.sum=1.00\treg_hist = 1.44\n",
+      "h=7. hist.sum=1.00\treg_hist = 0.56\n",
+      "h=8. hist.sum=1.00\treg_hist = 2.29\n",
+      "h=9. hist.sum=1.00\treg_hist = 1.51\n",
+      "error1 = 19.50618\n",
+      "error3 = 1.59757\n",
+      "error = 1.5975727512869051\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sigma = 0.03360\n",
+      "Cond.Marginal= ['O1'] . Sigma=0.0336. Top.Level=10. Max.Size=None\n",
+      "\tTotal size=2046\n",
+      "h=1. hist.sum=1.00\treg_hist = 1.14\n",
+      "h=2. hist.sum=1.00\treg_hist = 0.90\n",
+      "h=3. hist.sum=1.00\treg_hist = 1.00\n",
+      "h=4. hist.sum=1.00\treg_hist = 1.06\n",
+      "h=5. hist.sum=1.00\treg_hist = 0.74\n",
+      "h=6. hist.sum=1.00\treg_hist = 0.46\n",
+      "h=7. hist.sum=1.00\treg_hist = 1.10\n",
+      "h=8. hist.sum=1.00\treg_hist = 1.26\n",
+      "h=9. hist.sum=1.00\treg_hist = -0.85\n",
+      "error1 = 19.50618\n",
+      "error3 = 1.32198\n",
+      "error = 1.3219764772008862\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Densities = {}\n",
+    "for eps in [0.1]:\n",
+    "    Densities[eps] = {}\n",
+    "    for seed in [0, 1, 2]:\n",
+    "        Densities[eps][seed] = []\n",
+    "        rho = cdp_rho(eps, 1e-9)\n",
+    "        np.random.seed(seed)\n",
+    "        sigma = get_sigma(rho/tree_height, sensitivity=np.sqrt(2) / N)\n",
+    "        print(f'sigma = {sigma:.5f}')\n",
+    "    \n",
+    "        bin_edges = _get_bin_edges(domain=data.domain, tree_height=tree_height)\n",
+    "        _, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=rho,\n",
+    "                                                      store_marginal_stats=True,\n",
+    "                                                      verbose=True)\n",
+    "        hist_tree = marginals_info[('O1',)]\n",
+    "        \n",
+    "        # q1, _, t1, priv_density1 = get_quantiles(hist_tree, num_quantiles=100)\n",
+    "    \n",
+    "        hist_tree_normed_clipped = post_histogram_tree(hist_tree, clip=True)\n",
+    "        q3, _, t3, priv_density3 = get_quantiles(hist_tree_normed_clipped, num_quantiles=100)\n",
+    "        print(f'error1 = {np.linalg.norm(np.array(density) - np.array(priv_density1)):.5f}')\n",
+    "        print(f'error3 = {np.linalg.norm(np.array(density) - np.array(priv_density3)):.5f}')\n",
+    "        Densities[eps][seed].append((t3, priv_density3))\n",
+    "\n",
+    "\n",
+    "    \n",
+    "        # plt.title(f'Priv Density Method 1. eps={eps}, seed={seed}')\n",
+    "        # plt.plot(t1, priv_density1, label='Priv Density', alpha=0.5)\n",
+    "        # plt.vlines(x=q1, ymin=0.5, ymax=1, colors='k', alpha=0.1)\n",
+    "        # plt.plot(threshold, density, label='Original Density')\n",
+    "        # plt.legend()\n",
+    "        # plt.show()\n",
+    "        \n",
+    "        plt.title(f'Priv Density Method 3. eps={eps}, seed={seed}')\n",
+    "        plt.plot(t3, priv_density3, label='Priv Density 3', alpha=0.5)\n",
+    "        plt.vlines(x=q3, ymin=0.5, ymax=1, colors='k', alpha=0.1)\n",
+    "        plt.plot(threshold, density, label='Original Density')\n",
+    "        plt.legend()\n",
+    "        plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "3abe9131-ac3d-4aa1-8a7f-1a6ab6086249",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  -0.000786761481248962,\n",
+       "  ...]}"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hist_tree_normed_clipped['stats']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0fff510c-5e1c-4902-8ec5-305c903d9dd8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b486e30-f0bd-4153-9ea6-ef2f1ebae2ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Fit GSD here on all binary tree queries."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "id": "54395c57-7c91-4502-9123-67e1fc325e20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snsynth.gsd.utils.generate_sync_data import generate, AVAILABLE_GENETIC_OPERATORS\n",
+    "    \n",
+    "def plot_density(values, sync_values, data_range):\n",
+    "    N = values.shape[0]\n",
+    "    N_sync = sync_values.shape[0]\n",
+    "\n",
+    "    num_bins = 10000\n",
+    "    bin_edges = np.linspace(0, data_range, num_bins)\n",
+    "    T = bin_edges[:-1]\n",
+    "\n",
+    "    hist = np.histogram(values, bins=bin_edges)[0] / N\n",
+    "    density = hist.cumsum()\n",
+    "\n",
+    "    hist_sync = np.histogram(sync_values, bins=bin_edges)[0] / N_sync\n",
+    "    density_sync = hist_sync.cumsum()\n",
+    "    \n",
+    "    error = np.linalg.norm(np.array(density) - np.array(density_sync))\n",
+    "    error_max = np.abs(np.array(density) - np.array(density_sync)).max()\n",
+    "\n",
+    "    print(f'error = {error:.5f}, error_max={error_max:.5f}')\n",
+    "    \n",
+    "    ## Plot histogram\n",
+    "    fig, axs = plt.subplots(1, 3)\n",
+    "    fig.set_figwidth(10)\n",
+    "    axs[0].bar(T, hist, width=data_range/100)\n",
+    "\n",
+    "    axs[1].bar(T, hist_sync, width=data_range/100)\n",
+    "\n",
+    "    axs[2].plot(T, density, label='Real')\n",
+    "    axs[2].plot(T, density_sync, label='Sync')\n",
+    "    plt.legend()\n",
+    "    # plt.yticks([])\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "8b5a13a0-2e4d-4184-92b9-450e94121173",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen=      1000: fitness=377.021888. fitness change=0.99999962  Strategy weights:  [1.] time=1.57 (s)\n",
+      "Gen=      2000: fitness=371.692993. fitness change=0.01413418  Strategy weights:  [1.] time=2.69 (s)\n",
+      "Gen=      3000: fitness=370.910215. fitness change=0.00210598  Strategy weights:  [1.] time=3.74 (s)\n",
+      "Gen=      4000: fitness=370.738707. fitness change=0.00046240  Strategy weights:  [1.] time=4.81 (s)\n",
+      "Gen=      5000: fitness=370.676965. fitness change=0.00016654  Strategy weights:  [1.] time=5.88 (s)\n",
+      "Gen=      6000: fitness=370.658191. fitness change=0.00005065  Strategy weights:  [1.] time=6.93 (s)\n",
+      "\t\t ### Stop early at 6000 ###\n"
+     ]
+    }
+   ],
+   "source": [
+    "density_fn_params = []\n",
+    "priv_density = []\n",
+    "# Save threshold for computing the density function\n",
+    "col_id = data.domain.get_attribute_index('O1')\n",
+    "for q, d in zip(t1, priv_density1):\n",
+    "    density_fn_params.append([col_id, q])\n",
+    "    priv_density.append(d)103..2\n",
+    "priv_density_np = jnp.array(priv_density)\n",
+    "density_fn = _get_density_fn(jnp.array(density_fn_params))\n",
+    "\n",
+    "\n",
+    "sync_data_1 = generate(jax.random.PRNGKey(0),\n",
+    "                                domain=domain,\n",
+    "                                N_prime=1000,\n",
+    "                                num_generations=50000000,\n",
+    "                                private_statistics=priv_density_np,\n",
+    "                                statistics_fn=density_fn,\n",
+    "                                # genetic_operators=genetic_operators,\n",
+    "                                # early_stop_threshold=early_stop_threshold,\n",
+    "                                print_progress=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "id": "f4585304-3e41-49d6-970e-508e444fc1bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "error = 7.52954, error_max=0.24060\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_density(values, sync_data_1.df.values.squeeze(), 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "12ddd323-6fb0-4fa6-ba80-dfd1da882b1c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "density_fn_params = []\n",
+    "priv_density = []\n",
+    "\n",
+    "# thres_q, den_q, thres_all, density_all = get_quantiles(marginals_info[(col,)], 200)\n",
+    "\n",
+    "# Save threshold for computing the density function\n",
+    "col_id = data.domain.get_attribute_index('O1')\n",
+    "for q, d in zip(t1, priv_density3):\n",
+    "    density_fn_params.append([col_id, q])\n",
+    "    priv_density.append(d)\n",
+    "priv_density_np = jnp.array(priv_density)\n",
+    "density_fn = _get_density_fn(jnp.array(density_fn_params))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "8d8e187c-13c1-473d-afbd-751e9b147b57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen=      1000: fitness=1.03503322. fitness change=1.00000000  Strategy weights:  [1.] time=1.53 (s)\n",
+      "Gen=      2000: fitness=0.197918708. fitness change=0.80878033  Strategy weights:  [1.] time=2.61 (s)\n",
+      "Gen=      3000: fitness=0.0802113759. fitness change=0.59472565  Strategy weights:  [1.] time=3.56 (s)\n",
+      "Gen=      4000: fitness=0.0320338839. fitness change=0.60063166  Strategy weights:  [1.] time=4.51 (s)\n",
+      "Gen=      5000: fitness=0.0162146195. fitness change=0.49382911  Strategy weights:  [1.] time=5.47 (s)\n",
+      "Gen=      6000: fitness=0.0092605368. fitness change=0.42887733  Strategy weights:  [1.] time=6.42 (s)\n",
+      "Gen=      7000: fitness=0.00521457572. fitness change=0.43690351  Strategy weights:  [1.] time=7.37 (s)\n",
+      "Gen=      8000: fitness=0.00266967661. fitness change=0.48803570  Strategy weights:  [1.] time=8.32 (s)\n",
+      "Gen=      9000: fitness=0.00144242073. fitness change=0.45970208  Strategy weights:  [1.] time=9.29 (s)\n",
+      "Gen=     10000: fitness=0.000912529142. fitness change=0.36736271  Strategy weights:  [1.] time=10.25(s)\n",
+      "Gen=     11000: fitness=0.000558917555. fitness change=0.38750717  Strategy weights:  [1.] time=11.23(s)\n",
+      "Gen=     12000: fitness=0.000374753566. fitness change=0.32950117  Strategy weights:  [1.] time=12.24(s)\n",
+      "Gen=     13000: fitness=0.000280336556. fitness change=0.25194426  Strategy weights:  [1.] time=13.20(s)\n",
+      "Gen=     14000: fitness=0.000245129264. fitness change=0.12558937  Strategy weights:  [1.] time=14.16(s)\n",
+      "Gen=     15000: fitness=0.00019868121. fitness change=0.18948392  Strategy weights:  [1.] time=15.11(s)\n",
+      "Gen=     16000: fitness=0.000188291797. fitness change=0.05229187  Strategy weights:  [1.] time=16.06(s)\n",
+      "Gen=     17000: fitness=0.000177330033. fitness change=0.05821690  Strategy weights:  [1.] time=17.02(s)\n",
+      "Gen=     18000: fitness=0.000157707646. fitness change=0.11065462  Strategy weights:  [1.] time=17.97(s)\n",
+      "Gen=     19000: fitness=0.000149055169. fitness change=0.05486403  Strategy weights:  [1.] time=18.92(s)\n",
+      "Gen=     20000: fitness=0.00014532452. fitness change=0.02502865  Strategy weights:  [1.] time=19.94(s)\n",
+      "Gen=     21000: fitness=0.000144793173. fitness change=0.00365628  Strategy weights:  [1.] time=21.07(s)\n",
+      "Gen=     22000: fitness=0.000143697628. fitness change=0.00756628  Strategy weights:  [1.] time=22.06(s)\n",
+      "Gen=     23000: fitness=0.000129774885. fitness change=0.09688916  Strategy weights:  [1.] time=23.01(s)\n",
+      "Gen=     24000: fitness=0.000127354417. fitness change=0.01865128  Strategy weights:  [1.] time=23.97(s)\n",
+      "Gen=     25000: fitness=0.000125668781. fitness change=0.01323579  Strategy weights:  [1.] time=24.97(s)\n",
+      "Gen=     26000: fitness=0.000124516834. fitness change=0.00916653  Strategy weights:  [1.] time=26.05(s)\n",
+      "Gen=     27000: fitness=0.000124352993. fitness change=0.00131582  Strategy weights:  [1.] time=27.12(s)\n",
+      "Gen=     28000: fitness=0.000124268533. fitness change=0.00067919  Strategy weights:  [1.] time=28.10(s)\n",
+      "Gen=     29000: fitness=0.000123317746. fitness change=0.00765107  Strategy weights:  [1.] time=29.14(s)\n",
+      "Gen=     30000: fitness=0.000123317746. fitness change=0.00000000  Strategy weights:  [1.] time=30.20(s)\n",
+      "\t\t ### Stop early at 30000 ###\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "sync_data_2 = generate(jax.random.PRNGKey(0),\n",
+    "                                domain=domain,\n",
+    "                                N_prime=1000,\n",
+    "                                num_generations=50000000,\n",
+    "                                private_statistics=priv_density_np,\n",
+    "                                statistics_fn=density_fn,\n",
+    "                                # genetic_operators=genetic_operators,\n",
+    "                                # early_stop_threshold=early_stop_threshold,\n",
+    "                                print_progress=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "id": "63868486-7c88-443e-9d7e-fef7f23a03c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "error = 4.14863, error_max=0.12860\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "    # plt.plot(T, density, label='True Density')\n",
+    "    # # plt.plot(T, noisy_density_post, label='Post-Noisy')\n",
+    "\n",
+    "    # plt.legend()\n",
+    "    # plt.show()\n",
+    "\n",
+    "plot_density(values, sync_data_2.df.values.squeeze(), 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5d8a761-76fe-47b5-862a-474eebb1cd21",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/synth/snsynth/gsd/utils/test/debug/debug_private_density.py b/synth/snsynth/gsd/utils/test/debug/debug_private_density.py
new file mode 100644
index 00000000..0de3d5bd
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/debug/debug_private_density.py
@@ -0,0 +1,142 @@
+import subprocess
+import os
+import numpy as np
+import pandas as pd
+import jax.numpy as jnp
+# from snsynth.gsd import GSDSynthesizer
+from snsynth.gsd.utils.dataset_jax import Dataset, Domain
+from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles
+from snsynth.utils import cdp_rho
+import matplotlib.pyplot as plt
+
+from snsynth.gsd.utils.utils import get_sigma, _divide_privacy_budget
+from snsynth.utils import gaussian_noise
+
+def post_histogram_tree(hist_tree: dict):
+    # normalize_hist_tree = {}
+
+    H = hist_tree['tree_height']
+
+    # First level must add up to 1
+    hist0 = np.clip(np.array(hist_tree['stats'][0]), 0, 1)
+    hist0 = hist0 / hist0.sum()
+    hist_tree['stats'][0] = hist0
+
+    for h in range(1, H):
+        reg_hist = np.array(hist_tree['stats'][h])
+        # normalized_hist = np.clip(np.array(hist_tree['stats'][h]), 0, 1)
+        normalized_hist = np.array(hist_tree['stats'][h])
+        hist_len = normalized_hist.shape[0]
+
+        for i in range(0, hist_len, 2):
+            parent_i = i // 2
+            parent_stat = hist_tree['stats'][h-1][parent_i]
+            assert parent_stat>=0
+            child_hist = normalized_hist[i:i+2]
+
+            if child_hist.sum() < 1e-9:
+                normalized_hist[i:i+2] = parent_stat * np.ones(2) / 2
+            else:
+                child_hist = parent_stat * child_hist / child_hist.sum()
+                child_hist_clipped = np.clip(child_hist, 0, 1)
+                normalized_hist[i:i+2] = child_hist_clipped
+
+        print(f'h={h}. hist.sum={normalized_hist.sum():.2f}\treg_hist = {reg_hist.sum():.2f}')
+        hist_tree['stats'][h] = list(normalized_hist)
+
+    return hist_tree
+
+def naive_density(values, data_range, eps):
+    N = values.shape[0]
+    rho = cdp_rho(eps, 1e-9)
+    sigma = get_sigma(rho, sensitivity=np.sqrt(2) / N)
+
+    num_bins = 1000
+    bin_edges = np.linspace(0, data_range, num_bins)
+    hist = np.histogram(values, bins=bin_edges)[0] / values.shape[0]
+    density = hist.cumsum()
+
+    noisy_hist = hist + gaussian_noise(sigma=sigma, size=hist.shape[0])  # Add DP
+    noisy_density = noisy_hist.cumsum()
+
+    noisy_hist_clipped = np.clip(noisy_hist, 0, 1)
+    noisy_density_clipped = noisy_hist_clipped.cumsum()
+
+    ## Plot histogram
+    fig, axs = plt.subplots(1, 3)
+    fig.figsize=(30,10)
+    axs[0].bar(bin_edges[1:], hist)
+    axs[1].bar(bin_edges[1:], noisy_hist)
+    axs[2].bar(bin_edges[1:], noisy_hist_clipped)
+    # plt.yticks([])
+    plt.show()
+
+    plt.plot(bin_edges[1:], density, label='True Density')
+    plt.plot(bin_edges[1:], noisy_density, label='Noisy Density')
+    plt.plot(bin_edges[1:], noisy_density_clipped, label='Noisy-Clipped Density')
+
+    plt.legend()
+    plt.show()
+
+np.random.seed(0)
+data_range = 10000
+meta_data = {'O1': {'type': 'int', 'size': data_range}}
+values = np.concatenate((np.zeros(5000).astype(int),
+                         np.random.randint(0, data_range, size=(1000,)),
+                         # np.random.randint(1000, 2000, size=(200,)),
+                         np.random.randint(5100, 5200, size=(3000,)),
+                         np.random.randint(9100, 9200, size=(1000,))
+                         ))
+df = pd.DataFrame({'O1': values})
+domain = Domain(config=meta_data)
+data = Dataset(df, domain)
+tree_height=10
+
+bin_edges = _get_bin_edges(domain=data.domain, tree_height=tree_height)
+_, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=None,
+                                              store_marginal_stats=True,
+                                              verbose=True)
+_, _, threshold, density = get_quantiles(marginals_info[('O1',)], num_quantiles=100)
+
+for eps in [0.1]:
+
+    naive_density(data.df.values, data_range, eps)
+    continue
+
+
+    rho = cdp_rho(eps, 1e-9)
+    _, _, priv_marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=rho,
+                                                  store_marginal_stats=True, verbose=True)
+
+    q1, _, t1, priv_density1 = get_quantiles(priv_marginals_info[('O1',)], num_quantiles=100)
+
+    normalized_marginal_tree = post_histogram_tree(priv_marginals_info[('O1',)])
+    q2, _, t2, priv_density2 = get_quantiles(normalized_marginal_tree, num_quantiles=100)
+
+    # assert densities == [0, 0.91, 0.96]
+    density_error1 = np.abs(np.array(priv_density1) - np.array(density)).sum()
+    density_error2 = np.abs(np.array(priv_density2) - np.array(density)).sum()
+
+    print(f'eps={eps:.2f}: error1 = {density_error1:.5f}, error2 = {density_error2:.5f}')
+
+    plt.subplot(2, 2, 1)
+    plt.title('Priv Density Method 1')
+    plt.plot(t1, priv_density1, label='Priv Density')
+    plt.vlines(x=q1, ymin=0.5, ymax=1, colors='k', alpha=0.1)
+    plt.plot(threshold, density, label='Original Density')
+    plt.legend()
+
+    plt.subplot(2, 2, 2)
+    plt.title('Priv Density Method 2')
+    plt.vlines(x=q2, ymin=0.5, ymax=1, colors='k', alpha=0.1)
+    plt.plot(t2, priv_density2, label='Priv Density')
+    plt.plot(threshold, density, label='Original Density')
+    plt.legend()
+
+    plt.show()
+
+    print(priv_density1[:4])
+    print(f'quantiles1 = {len(q1)}')
+    print(priv_density2[:4])
+    print(f'quantiles2 = {len(q2)}')
+    print()
diff --git a/synth/snsynth/gsd/utils/test/downloaded_datasets/adult.csv b/synth/snsynth/gsd/utils/test/downloaded_datasets/adult.csv
new file mode 100644
index 00000000..2bd5ecf0
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/downloaded_datasets/adult.csv
@@ -0,0 +1,32562 @@
+,age,workclass,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,earning-class
+0,39, State-gov,77516, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+1,50, Self-emp-not-inc,83311, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,13, United-States, <=50K
+2,38, Private,215646, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3,53, Private,234721, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+4,28, Private,338409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, Cuba, <=50K
+5,37, Private,284582, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+6,49, Private,160187, 9th,5, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,16, Jamaica, <=50K
+7,52, Self-emp-not-inc,209642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+8,31, Private,45781, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K
+9,42, Private,159449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+10,37, Private,280464, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,80, United-States, >50K
+11,30, State-gov,141297, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+12,23, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+13,32, Private,205019, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+14,40, Private,121772, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+15,34, Private,245487, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,45, Mexico, <=50K
+16,25, Self-emp-not-inc,176756, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K
+17,32, Private,186824, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+18,38, Private,28887, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+19,43, Self-emp-not-inc,292175, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, >50K
+20,40, Private,193524, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+21,54, Private,302146, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+22,35, Federal-gov,76845, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+23,43, Private,117037, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2042,40, United-States, <=50K
+24,59, Private,109015, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+25,56, Local-gov,216851, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+26,19, Private,168294, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+27,54, ?,180211, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,60, South, >50K
+28,39, Private,367260, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,80, United-States, <=50K
+29,49, Private,193366, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30,23, Local-gov,190709, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,52, United-States, <=50K
+31,20, Private,266015, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,44, United-States, <=50K
+32,45, Private,386940, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Male,0,1408,40, United-States, <=50K
+33,30, Federal-gov,59951, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+34,22, State-gov,311512, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,15, United-States, <=50K
+35,48, Private,242406, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K
+36,21, Private,197200, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+37,19, Private,544091, HS-grad,9, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, <=50K
+38,31, Private,84154, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, ?, >50K
+39,48, Self-emp-not-inc,265477, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+40,31, Private,507875, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K
+41,53, Self-emp-not-inc,88506, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+42,24, Private,172987, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+43,49, Private,94638, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+44,25, Private,289980, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K
+45,57, Federal-gov,337895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+46,53, Private,144361, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K
+47,44, Private,128354, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+48,41, State-gov,101603, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+49,29, Private,271466, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K
+50,25, Private,32275, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,0,40, United-States, <=50K
+51,18, Private,226956, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, ?, <=50K
+52,47, Private,51835, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,60, Honduras, >50K
+53,50, Federal-gov,251585, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+54,47, Self-emp-inc,109832, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+55,43, Private,237993, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+56,46, Private,216666, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+57,35, Private,56352, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+58,41, Private,147372, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K
+59,30, Private,188146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K
+60,30, Private,59496, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2407,0,40, United-States, <=50K
+61,32, ?,293936, 7th-8th,4, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, ?, <=50K
+62,48, Private,149640, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+63,42, Private,116632, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+64,29, Private,105598, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,58, United-States, <=50K
+65,36, Private,155537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+66,28, Private,183175, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+67,53, Private,169846, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+68,49, Self-emp-inc,191681, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+69,25, ?,200681, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+70,19, Private,101509, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,32, United-States, <=50K
+71,31, Private,309974, Bachelors,13, Separated, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+72,29, Self-emp-not-inc,162298, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+73,23, Private,211678, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+74,79, Private,124744, Some-college,10, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,20, United-States, <=50K
+75,27, Private,213921, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K
+76,40, Private,32214, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+77,67, ?,212759, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K
+78,18, Private,309634, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,22, United-States, <=50K
+79,31, Local-gov,125927, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+80,18, Private,446839, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+81,52, Private,276515, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, <=50K
+82,46, Private,51618, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+83,59, Private,159937, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+84,44, Private,343591, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,14344,0,40, United-States, >50K
+85,53, Private,346253, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+86,49, Local-gov,268234, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+87,33, Private,202051, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+88,30, Private,54334, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+89,43, Federal-gov,410867, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+90,57, Private,249977, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+91,37, Private,286730, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+92,28, Private,212563, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,25, United-States, <=50K
+93,30, Private,117747, HS-grad,9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,1573,35, ?, <=50K
+94,34, Local-gov,226296, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+95,29, Local-gov,115585, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+96,48, Self-emp-not-inc,191277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K
+97,37, Private,202683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+98,48, Private,171095, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, England, <=50K
+99,32, Federal-gov,249409, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+100,76, Private,124191, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+101,44, Private,198282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+102,47, Self-emp-not-inc,149116, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+103,20, Private,188300, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+104,29, Private,103432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+105,32, Self-emp-inc,317660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+106,17, ?,304873, 10th,6, Never-married, ?, Own-child, White, Female,34095,0,32, United-States, <=50K
+107,30, Private,194901, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+108,31, Local-gov,189265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+109,42, Private,124692, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+110,24, Private,432376, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+111,38, Private,65324, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+112,56, Self-emp-not-inc,335605, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1887,50, Canada, >50K
+113,28, Private,377869, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4064,0,25, United-States, <=50K
+114,36, Private,102864, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+115,53, Private,95647, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+116,56, Self-emp-inc,303090, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+117,49, Local-gov,197371, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+118,55, Private,247552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,56, United-States, <=50K
+119,22, Private,102632, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K
+120,21, Private,199915, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+121,40, Private,118853, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+122,30, Private,77143, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, Germany, <=50K
+123,29, State-gov,267989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+124,19, Private,301606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K
+125,47, Private,287828, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+126,20, Private,111697, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,28, United-States, <=50K
+127,31, Private,114937, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+128,35, ?,129305, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+129,39, Private,365739, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+130,28, Private,69621, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+131,24, Private,43323, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K
+132,38, Self-emp-not-inc,120985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,35, United-States, <=50K
+133,37, Private,254202, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+134,46, Private,146195, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Female,0,0,36, United-States, <=50K
+135,38, Federal-gov,125933, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K
+136,43, Self-emp-not-inc,56920, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+137,27, Private,163127, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+138,20, Private,34310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+139,49, Private,81973, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+140,61, Self-emp-inc,66614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+141,27, Private,232782, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+142,19, Private,316868, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Mexico, <=50K
+143,45, Private,196584, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,40, United-States, >50K
+144,70, Private,105376, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K
+145,31, Private,185814, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K
+146,22, Private,175374, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K
+147,36, Private,108293, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K
+148,64, Private,181232, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K
+149,43, ?,174662, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+150,47, Local-gov,186009, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Mexico, <=50K
+151,34, Private,198183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+152,33, Private,163003, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+153,21, Private,296158, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+154,52, ?,252903, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, >50K
+155,48, Private,187715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K
+156,23, Private,214542, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+157,71, Self-emp-not-inc,494223, Some-college,10, Separated, Sales, Unmarried, Black, Male,0,1816,2, United-States, <=50K
+158,29, Private,191535, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+159,42, Private,228456, Bachelors,13, Separated, Other-service, Other-relative, Black, Male,0,0,50, United-States, <=50K
+160,68, ?,38317, 1st-4th,2, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+161,25, Private,252752, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+162,44, Self-emp-inc,78374, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+163,28, Private,88419, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, England, <=50K
+164,45, Self-emp-not-inc,201080, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+165,36, Private,207157, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+166,39, Federal-gov,235485, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K
+167,46, State-gov,102628, Masters,14, Widowed, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K
+168,18, Private,25828, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+169,66, Local-gov,54826, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+170,27, Private,124953, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K
+171,28, State-gov,175325, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+172,51, Private,96062, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K
+173,27, Private,428030, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+174,28, State-gov,149624, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+175,27, Private,253814, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+176,21, Private,312956, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+177,34, Private,483777, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+178,18, Private,183930, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+179,33, Private,37274, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K
+180,44, Local-gov,181344, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,38, United-States, >50K
+181,43, Private,114580, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+182,30, Private,633742, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+183,40, Private,286370, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K
+184,37, Federal-gov,29054, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K
+185,34, Private,304030, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+186,41, Self-emp-not-inc,143129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+187,53, ?,135105, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K
+188,31, Private,99928, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K
+189,58, State-gov,109567, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,1, United-States, >50K
+190,38, Private,155222, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,28, United-States, <=50K
+191,24, Private,159567, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+192,41, Local-gov,523910, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+193,47, Private,120939, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+194,41, Federal-gov,130760, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, <=50K
+195,23, Private,197387, 5th-6th,3, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K
+196,36, Private,99374, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+197,40, Federal-gov,56795, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,55, United-States, >50K
+198,35, Private,138992, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,7298,0,40, United-States, >50K
+199,24, Self-emp-not-inc,32921, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+200,26, Private,397317, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K
+201,19, ?,170653, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Italy, <=50K
+202,51, Private,259323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+203,42, Local-gov,254817, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,40, United-States, <=50K
+204,37, State-gov,48211, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+205,18, Private,140164, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+206,36, Private,128757, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,36, United-States, >50K
+207,35, Private,36270, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+208,58, Self-emp-inc,210563, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K
+209,17, Private,65368, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+210,44, Local-gov,160943, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+211,37, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+212,35, Private,153790, Some-college,10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+213,60, Private,85815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+214,54, Self-emp-inc,125417, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+215,37, Private,635913, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, >50K
+216,50, Private,313321, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+217,38, Private,182609, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Poland, <=50K
+218,45, Private,109434, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+219,25, Private,255004, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+220,31, Private,197860, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+221,64, ?,187656, 1st-4th,2, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+222,90, Private,51744, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,2206,40, United-States, <=50K
+223,54, Private,176681, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K
+224,53, Local-gov,140359, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K
+225,18, Private,243313, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+226,60, ?,24215, 10th,6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,10, United-States, <=50K
+227,66, Self-emp-not-inc,167687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,50, United-States, <=50K
+228,75, Private,314209, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Columbia, <=50K
+229,65, Private,176796, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+230,35, Private,538583, 11th,7, Separated, Transport-moving, Not-in-family, Black, Male,3674,0,40, United-States, <=50K
+231,41, Private,130408, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K
+232,25, Private,159732, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K
+233,33, Private,110978, Some-college,10, Divorced, Craft-repair, Other-relative, Other, Female,0,0,40, United-States, <=50K
+234,28, Private,76714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+235,59, State-gov,268700, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+236,40, State-gov,170525, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+237,41, Private,180138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, >50K
+238,38, Local-gov,115076, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+239,23, Private,115458, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+240,40, Private,347890, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+241,41, Self-emp-not-inc,196001, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K
+242,24, State-gov,273905, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+243,20, ?,119156, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+244,38, Private,179488, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+245,56, Private,203580, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, ?, <=50K
+246,58, Private,236596, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+247,32, Private,183916, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K
+248,40, Private,207578, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,60, United-States, >50K
+249,45, Private,153141, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K
+250,41, Private,112763, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+251,42, Private,390781, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+252,59, Local-gov,171328, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+253,19, Local-gov,27382, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+254,58, Private,259014, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K
+255,42, Self-emp-not-inc,303044, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K
+256,20, Private,117789, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+257,32, Private,172579, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+258,45, Private,187666, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+259,50, Private,204518, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+260,36, Private,150042, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+261,45, Private,98092, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+262,17, Private,245918, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+263,59, Private,146013, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+264,26, Private,378322, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+265,37, Self-emp-inc,257295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,75, Thailand, >50K
+266,19, ?,218956, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, Canada, <=50K
+267,64, Private,21174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+268,33, Private,185480, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+269,33, Private,222205, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K
+270,61, Private,69867, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+271,17, Private,191260, 9th,5, Never-married, Other-service, Own-child, White, Male,1055,0,24, United-States, <=50K
+272,50, Self-emp-not-inc,30653, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,2407,0,98, United-States, <=50K
+273,27, Local-gov,209109, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K
+274,30, Private,70377, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+275,43, Private,477983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+276,44, Private,170924, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+277,35, Private,190174, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+278,25, Private,193787, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+279,24, Private,279472, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,48, United-States, >50K
+280,22, Private,34918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K
+281,42, Local-gov,97688, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+282,34, Private,175413, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K
+283,60, Private,173960, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,42, United-States, <=50K
+284,21, Private,205759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+285,57, Federal-gov,425161, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+286,41, Private,220531, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+287,50, Private,176609, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+288,25, Private,371987, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+289,50, Private,193884, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K
+290,36, Private,200352, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+291,31, Private,127595, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+292,29, Local-gov,220419, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K
+293,21, Private,231931, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+294,27, Private,248402, Bachelors,13, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+295,65, Private,111095, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K
+296,37, Self-emp-inc,57424, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+297,39, ?,157443, Masters,14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,3464,0,40, ?, <=50K
+298,24, Private,278130, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+299,38, Private,169469, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K
+300,48, Private,146268, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K
+301,21, Private,153718, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K
+302,31, Private,217460, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+303,55, Private,238638, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K
+304,24, Private,303296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K
+305,43, Private,173321, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+306,26, Private,193945, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+307,46, Private,83082, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,33, United-States, <=50K
+308,35, Private,193815, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+309,41, Self-emp-inc,34987, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, >50K
+310,26, Private,59306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+311,34, Private,142897, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,35, Taiwan, >50K
+312,19, ?,860348, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K
+313,36, Self-emp-not-inc,205607, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K
+314,22, Private,199698, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+315,24, Private,191954, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+316,77, Self-emp-not-inc,138714, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+317,22, Private,399087, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K
+318,29, Private,423158, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+319,62, Private,159841, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+320,39, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+321,43, Private,50356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, <=50K
+322,35, Private,186110, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+323,29, Private,200381, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+324,76, Self-emp-not-inc,174309, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K
+325,63, Self-emp-not-inc,78383, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+326,23, ?,211601, Assoc-voc,11, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K
+327,43, Private,187728, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,50, United-States, >50K
+328,58, Self-emp-not-inc,321171, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+329,66, Private,127921, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,2050,0,55, United-States, <=50K
+330,41, Private,206565, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+331,26, Private,224563, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+332,47, Private,178686, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+333,55, Local-gov,98545, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+334,53, Private,242606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+335,17, Private,270942, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K
+336,30, Private,94235, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+337,49, Private,71195, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+338,19, Private,104112, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,30, Haiti, <=50K
+339,45, Private,261192, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+340,26, Private,94936, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+341,38, Private,296478, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+342,36, State-gov,119272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K
+343,33, Private,85043, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K
+344,22, State-gov,293364, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K
+345,43, Self-emp-not-inc,241895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K
+346,67, ?,36135, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+347,30, ?,151989, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+348,56, Private,101128, Assoc-acdm,12, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,25, Iran, <=50K
+349,31, Private,156464, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K
+350,33, Private,117963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+351,26, Private,192262, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+352,33, Private,111363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+353,46, Local-gov,329752, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+354,59, ?,372020, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+355,38, Federal-gov,95432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+356,65, Private,161400, 11th,7, Widowed, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K
+357,40, Private,96129, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+358,42, Private,111949, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+359,26, Self-emp-not-inc,117125, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K
+360,36, Private,348022, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K
+361,62, Private,270092, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+362,43, Private,180609, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+363,43, Private,174575, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1564,45, United-States, >50K
+364,22, Private,410439, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+365,28, Private,92262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+366,56, Self-emp-not-inc,183081, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+367,22, Private,362589, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+368,57, Private,212448, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+369,39, Private,481060, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+370,26, Federal-gov,185885, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K
+371,17, Private,89821, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+372,40, State-gov,184018, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K
+373,45, Private,256649, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+374,44, Private,160323, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+375,20, Local-gov,350845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+376,33, Private,267404, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K
+377,23, Private,35633, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+378,46, Self-emp-not-inc,80914, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K
+379,38, Private,172927, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+380,54, Private,174319, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+381,46, Private,214955, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Female,0,2339,45, United-States, <=50K
+382,25, Private,344991, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+383,46, Private,108699, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+384,36, Local-gov,117312, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K
+385,23, Private,396099, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+386,29, Private,134152, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+387,44, Private,162028, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2415,6, United-States, >50K
+388,19, Private,25429, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+389,19, Private,232392, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+390,35, Private,220098, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+391,27, Private,301302, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+392,46, Self-emp-not-inc,277946, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+393,34, State-gov,98101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, ?, >50K
+394,34, Private,196164, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+395,44, Private,115562, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+396,45, Private,96975, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+397,20, ?,137300, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,35, United-States, <=50K
+398,25, Private,86872, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+399,52, Self-emp-inc,132178, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+400,20, Private,416103, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+401,28, Private,108574, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+402,50, State-gov,288353, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+403,34, Private,227689, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K
+404,28, Private,166481, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,2179,40, Puerto-Rico, <=50K
+405,41, Private,445382, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,65, United-States, >50K
+406,28, Private,110145, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+407,46, Self-emp-not-inc,317253, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+408,28, ?,123147, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,1887,40, United-States, >50K
+409,32, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+410,41, Local-gov,42346, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K
+411,24, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+412,33, Private,118500, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+413,46, Private,188386, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+414,31, State-gov,1033222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+415,35, Private,92440, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+416,52, Private,190762, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+417,30, Private,426017, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K
+418,34, Local-gov,243867, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+419,34, State-gov,240283, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K
+420,20, Private,61777, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+421,17, Private,175024, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,18, United-States, <=50K
+422,32, State-gov,92003, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+423,29, Private,188401, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+424,33, Private,228528, 10th,6, Never-married, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K
+425,25, Private,133373, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+426,36, Federal-gov,255191, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+427,23, Private,204653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,72, Dominican-Republic, <=50K
+428,63, Self-emp-inc,222289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+429,47, Local-gov,287480, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+430,80, ?,107762, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,24, United-States, <=50K
+431,17, ?,202521, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+432,40, Self-emp-not-inc,204116, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K
+433,30, Private,29662, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, >50K
+434,27, Private,116358, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,1980,40, Philippines, <=50K
+435,33, Private,208405, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+436,34, Local-gov,284843, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,594,0,60, United-States, <=50K
+437,34, Local-gov,117018, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+438,23, Private,81281, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+439,42, Local-gov,340148, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+440,29, Private,363425, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+441,45, Private,45857, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K
+442,24, Federal-gov,191073, HS-grad,9, Never-married, Armed-Forces, Own-child, White, Male,0,0,40, United-States, <=50K
+443,44, Private,116632, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+444,27, Private,405855, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+445,20, Private,298227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+446,44, Private,290521, HS-grad,9, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+447,51, Private,56915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+448,20, Private,146538, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+449,17, ?,258872, 11th,7, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K
+450,19, Private,206399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+451,45, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+452,60, Private,245062, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+453,42, Private,197583, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, >50K
+454,44, Self-emp-not-inc,234885, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+455,40, Private,72887, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+456,30, Private,180374, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+457,38, Private,351299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K
+458,23, Private,54012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+459,32, ?,115745, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+460,44, Private,116632, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+461,54, Local-gov,288825, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+462,32, Private,132601, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+463,50, Private,193374, 1st-4th,2, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+464,24, Private,170070, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K
+465,37, Private,126708, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K
+466,52, Private,35598, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+467,38, Private,33983, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+468,49, Private,192776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+469,30, Private,118551, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,16, United-States, >50K
+470,60, Private,201965, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K
+471,22, ?,139883, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+472,35, Private,285020, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+473,30, Private,303990, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+474,67, Private,49401, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+475,46, Private,279196, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+476,17, Private,211870, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,6, United-States, <=50K
+477,22, Private,281432, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+478,27, Private,161155, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+479,23, Private,197904, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+480,33, Private,111746, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Portugal, <=50K
+481,43, Self-emp-not-inc,170721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+482,28, State-gov,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+483,41, Private,193626, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+484,52, ?,271749, 12th,8, Never-married, ?, Other-relative, Black, Male,594,0,40, United-States, <=50K
+485,25, Private,189775, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+486,63, ?,401531, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+487,59, Local-gov,286967, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+488,45, Local-gov,164427, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+489,38, Private,91039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+490,40, Private,347934, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+491,46, Federal-gov,371373, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+492,35, Private,32220, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+493,34, Private,187251, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K
+494,33, Private,178107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+495,41, Private,343121, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K
+496,20, Private,262749, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+497,23, Private,403107, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+498,26, Private,64293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+499,72, ?,303588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+500,23, Local-gov,324960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Poland, <=50K
+501,62, Local-gov,114060, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+502,52, Private,48925, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+503,58, Private,180980, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,42, France, <=50K
+504,25, Private,181054, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+505,24, Private,388093, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+506,19, Private,249609, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,8, United-States, <=50K
+507,43, Private,112131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+508,47, Local-gov,543162, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+509,39, Private,91996, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+510,49, Private,141944, Assoc-voc,11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,1380,42, United-States, <=50K
+511,53, ?,251804, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K
+512,32, Private,37070, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+513,34, Private,337587, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+514,28, Private,189346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+515,57, ?,222216, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K
+516,25, Private,267044, Some-college,10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+517,20, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K
+518,21, ?,204226, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K
+519,34, Private,108116, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+520,38, Self-emp-inc,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K
+521,50, Private,196232, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+522,24, Local-gov,248344, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+523,37, Local-gov,186035, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+524,44, Private,177905, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,58, United-States, >50K
+525,28, Private,85812, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+526,42, Private,221172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+527,74, Private,99183, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,9, United-States, <=50K
+528,38, Self-emp-not-inc,190387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+529,44, Self-emp-not-inc,202692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+530,44, Private,109339, 11th,7, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,46, Puerto-Rico, <=50K
+531,26, Private,108658, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+532,36, Private,197202, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+533,41, Private,101739, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+534,67, Private,231559, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,48, United-States, >50K
+535,39, Local-gov,207853, 12th,8, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+536,57, Private,190942, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+537,29, Private,102345, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+538,31, Self-emp-inc,41493, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K
+539,34, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+540,44, Private,210525, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+541,29, Private,133937, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+542,30, Private,237903, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+543,27, Private,163862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+544,27, Private,201872, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+545,32, Private,84179, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,45, United-States, <=50K
+546,58, Private,51662, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,8, United-States, <=50K
+547,35, Local-gov,233327, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+548,21, Private,259510, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K
+549,28, Private,184831, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+550,46, Self-emp-not-inc,245724, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+551,36, Self-emp-not-inc,27053, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+552,72, Private,205343, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+553,35, Private,229328, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K
+554,33, Federal-gov,319560, Assoc-voc,11, Divorced, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, >50K
+555,69, Private,136218, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+556,35, Private,54576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+557,31, Private,323069, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, ?, <=50K
+558,34, Private,148291, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, <=50K
+559,30, Private,152453, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+560,28, Private,114053, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+561,54, Private,212960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+562,47, Private,264052, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+563,24, Private,82804, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+564,52, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+565,20, Private,27337, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K
+566,43, Self-emp-inc,188436, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K
+567,45, Private,433665, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+568,29, Self-emp-not-inc,110663, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+569,47, Private,87490, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, United-States, <=50K
+570,24, Private,354351, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+571,51, Private,95469, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+572,17, Private,242718, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K
+573,37, Private,22463, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K
+574,27, Private,158156, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K
+575,29, Private,350162, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Male,0,0,40, United-States, >50K
+576,18, ?,165532, 12th,8, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+577,36, Self-emp-not-inc,28738, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+578,58, Local-gov,283635, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+579,26, Self-emp-not-inc,86646, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+580,65, ?,195733, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+581,57, Private,69884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+582,59, Private,199713, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+583,27, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+584,31, Self-emp-not-inc,340939, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+585,21, Private,197747, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+586,29, Private,34292, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K
+587,18, Private,156764, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+588,52, Private,25826, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,47, United-States, >50K
+589,57, Self-emp-inc,103948, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K
+590,42, ?,137390, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+591,55, ?,105138, HS-grad,9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+592,60, Private,39352, 7th-8th,4, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K
+593,31, Private,168387, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, Canada, >50K
+594,23, Private,117789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+595,27, Private,267147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+596,23, ?,99399, Some-college,10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K
+597,42, Self-emp-not-inc,214242, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+598,25, Private,200408, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+599,49, Private,136455, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+600,32, Private,239824, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+601,19, Private,217039, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K
+602,60, Private,51290, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+603,42, Local-gov,175674, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+604,35, Self-emp-not-inc,194404, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+605,48, Private,45612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K
+606,51, Private,410114, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+607,29, Private,182521, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+608,36, Local-gov,339772, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+609,17, Private,169658, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K
+610,52, Private,200853, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,60, United-States, <=50K
+611,24, Private,247564, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+612,24, Private,249909, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+613,26, Local-gov,208122, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,1055,0,40, United-States, <=50K
+614,27, Private,109881, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+615,39, Private,207824, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K
+616,30, Private,369027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K
+617,50, Self-emp-not-inc,114117, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K
+618,52, Self-emp-inc,51048, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+619,46, Private,102388, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+620,23, Private,190483, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+621,45, Private,462440, 11th,7, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+622,65, Private,109351, 9th,5, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K
+623,29, Private,34383, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+624,47, Private,241832, 9th,5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, El-Salvador, <=50K
+625,30, Private,124187, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K
+626,34, Private,153614, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+627,38, Self-emp-not-inc,267556, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,64, United-States, <=50K
+628,33, Private,205469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+629,49, Private,268090, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, >50K
+630,47, Self-emp-not-inc,165039, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+631,49, Local-gov,120451, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+632,43, Private,154374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K
+633,30, Private,103649, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K
+634,58, Self-emp-not-inc,35723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+635,19, Private,262601, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K
+636,21, Private,226181, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+637,33, Private,175697, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+638,47, Self-emp-inc,248145, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Cuba, <=50K
+639,52, Self-emp-not-inc,289436, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+640,26, Private,75654, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+641,60, Private,199378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+642,21, Private,160968, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+643,36, Private,188563, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K
+644,31, Private,55849, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+645,50, Self-emp-inc,195322, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+646,31, Local-gov,402089, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+647,71, Private,78277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K
+648,58, ?,158611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+649,30, State-gov,169496, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+650,20, Private,130959, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+651,24, Private,556660, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,4101,0,50, United-States, <=50K
+652,35, Private,292472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K
+653,38, State-gov,143774, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+654,27, Private,288341, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,32, United-States, <=50K
+655,29, State-gov,71592, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+656,70, ?,167358, 9th,5, Widowed, ?, Unmarried, White, Female,1111,0,15, United-States, <=50K
+657,34, Private,106742, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+658,44, Private,219288, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+659,43, Private,174524, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+660,44, Self-emp-not-inc,335183, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K
+661,35, Private,261293, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+662,27, Private,111900, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+663,43, Local-gov,194360, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+664,20, Private,81145, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+665,42, Private,341204, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,40, United-States, >50K
+666,27, State-gov,249362, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, United-States, <=50K
+667,42, Private,247019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+668,20, ?,114746, 11th,7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female,0,1762,40, South, <=50K
+669,24, Private,172146, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1721,40, United-States, <=50K
+670,48, Federal-gov,110457, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+671,17, ?,80077, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+672,17, Self-emp-not-inc,368700, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K
+673,33, Private,182556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+674,50, Self-emp-inc,219420, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+675,22, Private,240817, HS-grad,9, Never-married, Sales, Own-child, White, Female,2597,0,40, United-States, <=50K
+676,17, Private,102726, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+677,32, Private,226267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K
+678,31, Private,125457, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+679,58, Self-emp-not-inc,204021, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+680,29, Local-gov,92262, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K
+681,37, Private,161141, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, >50K
+682,34, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+683,23, Local-gov,430828, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K
+684,18, State-gov,59342, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K
+685,34, Private,136721, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+686,66, ?,149422, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K
+687,45, Local-gov,86644, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K
+688,41, Private,195124, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, Dominican-Republic, <=50K
+689,26, Private,167350, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K
+690,54, Local-gov,113000, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+691,24, Private,140027, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,45, United-States, <=50K
+692,42, Private,262425, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+693,20, Private,316702, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+694,23, State-gov,335453, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K
+695,25, ?,202480, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,45, United-States, <=50K
+696,35, Private,203628, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+697,31, Private,118710, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K
+698,30, Private,189620, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Poland, <=50K
+699,19, Private,475028, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+700,36, Local-gov,110866, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+701,31, Private,243605, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,1380,40, Cuba, <=50K
+702,21, Private,163870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+703,31, Self-emp-not-inc,80145, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+704,46, Private,295566, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,25236,0,65, United-States, >50K
+705,44, Private,63042, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,50, United-States, >50K
+706,40, Private,229148, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K
+707,45, Private,242552, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+708,60, Private,177665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+709,18, Private,208103, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K
+710,28, Private,296450, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+711,36, Private,70282, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+712,36, Private,271767, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K
+713,40, Private,144995, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,40, United-States, <=50K
+714,36, Local-gov,382635, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Honduras, <=50K
+715,31, Private,295697, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+716,33, Private,194141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+717,19, State-gov,378418, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+718,22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+719,34, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+720,33, Private,182556, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+721,41, Private,125831, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,60, United-States, <=50K
+722,29, Private,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+723,50, Local-gov,50459, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+724,42, Private,162140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K
+725,43, Private,177937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K
+726,44, Private,111502, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+727,20, Private,299047, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+728,31, Private,223212, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+729,65, Self-emp-not-inc,118474, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,59, ?, >50K
+730,23, Private,352139, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+731,55, Private,173093, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+732,26, Private,181655, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2377,45, United-States, <=50K
+733,25, Private,332702, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+734,45, ?,51164, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K
+735,35, Private,234901, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K
+736,36, Private,131414, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,36, United-States, <=50K
+737,43, State-gov,260960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+738,56, Private,156052, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,594,0,20, United-States, <=50K
+739,42, Private,279914, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+740,19, Private,192453, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K
+741,55, Self-emp-not-inc,200939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K
+742,42, Private,151408, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,50, United-States, >50K
+743,26, Private,112847, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+744,17, Private,316929, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+745,42, Local-gov,126319, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+746,55, Private,197422, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K
+747,32, Private,267736, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+748,29, Private,267034, 11th,7, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, Haiti, <=50K
+749,46, State-gov,193047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K
+750,29, State-gov,356089, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+751,22, Private,223515, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K
+752,58, Self-emp-not-inc,87510, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+753,23, Private,145111, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K
+754,39, Private,48093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+755,27, Private,31757, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K
+756,54, Private,285854, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+757,33, Local-gov,120064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+758,46, Federal-gov,167381, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+759,37, Private,103408, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+760,36, Private,101460, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K
+761,59, Local-gov,420537, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K
+762,34, Local-gov,119411, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, Portugal, <=50K
+763,53, Self-emp-inc,128272, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+764,51, Private,386773, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K
+765,32, Private,283268, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,42, United-States, <=50K
+766,31, State-gov,301526, Some-college,10, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+767,22, Private,151790, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, Germany, <=50K
+768,47, Self-emp-not-inc,106252, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+769,32, Private,188557, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+770,26, Private,171114, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,38, United-States, <=50K
+771,37, Private,327323, 5th-6th,3, Separated, Farming-fishing, Not-in-family, White, Male,0,0,32, Guatemala, <=50K
+772,31, Private,244147, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K
+773,37, Private,280282, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K
+774,55, Private,116442, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K
+775,23, Local-gov,282579, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K
+776,36, Private,51838, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+777,34, Private,73585, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+778,43, Private,226902, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+779,54, Private,279129, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+780,43, State-gov,146908, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+781,28, Private,196690, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1669,42, United-States, <=50K
+782,40, Private,130760, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+783,41, Self-emp-not-inc,49572, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+784,40, Private,237601, Bachelors,13, Never-married, Sales, Not-in-family, Other, Female,0,0,55, United-States, >50K
+785,42, Private,169628, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+786,61, Self-emp-not-inc,36671, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,50, United-States, <=50K
+787,18, Private,231193, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K
+788,59, ?,192130, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K
+789,21, ?,149704, HS-grad,9, Never-married, ?, Not-in-family, White, Female,1055,0,40, United-States, <=50K
+790,48, Private,102102, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+791,41, Self-emp-inc,32185, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+792,18, ?,196061, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,33, United-States, <=50K
+793,23, Private,211046, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2463,0,40, United-States, <=50K
+794,60, Private,31577, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+795,22, Private,162343, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K
+796,61, Private,128831, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+797,25, Private,316688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+798,46, Private,90758, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, >50K
+799,43, Private,274363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, England, >50K
+800,43, Private,154538, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+801,24, Private,106085, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,1721,30, United-States, <=50K
+802,68, Self-emp-not-inc,315859, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K
+803,31, Private,51471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+804,17, Private,193830, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+805,32, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,48, United-States, >50K
+806,50, ?,23780, Masters,14, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+807,33, Private,169879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,47, United-States, >50K
+808,64, Private,270333, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+809,20, Private,138768, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+810,30, Private,191571, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K
+811,22, ?,219941, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+812,43, Private,94113, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+813,22, Private,137510, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+814,17, Private,32607, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+815,47, Self-emp-not-inc,93208, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,75, Italy, <=50K
+816,41, Private,254440, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+817,56, Private,186556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+818,64, Private,169871, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+819,47, Private,191277, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+820,48, Private,167159, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+821,31, Private,171871, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K
+822,29, Private,154411, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+823,30, Private,129227, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+824,32, Private,110331, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,60, United-States, <=50K
+825,57, Private,34269, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,653,42, United-States, >50K
+826,62, Private,174355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+827,39, Private,680390, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,24, United-States, <=50K
+828,43, Private,233130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K
+829,24, Self-emp-inc,165474, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+830,42, ?,257780, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+831,53, Private,194259, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,40, United-States, >50K
+832,26, Private,280093, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+833,73, Self-emp-not-inc,177387, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+834,72, ?,28929, 11th,7, Widowed, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K
+835,55, Private,105304, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+836,25, Private,499233, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+837,41, Private,180572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+838,24, Private,321435, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+839,63, Private,86108, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,6, United-States, <=50K
+840,17, Private,198124, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+841,35, Private,135162, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+842,51, Private,146813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+843,62, Local-gov,291175, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K
+844,55, Private,387569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K
+845,43, Private,102895, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+846,40, Local-gov,33274, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+847,37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+848,39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+849,31, Private,118966, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K
+850,61, Private,99784, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+851,26, Private,90980, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K
+852,46, Self-emp-not-inc,177407, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+853,26, Private,96467, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+854,48, State-gov,327886, Doctorate,16, Divorced, Prof-specialty, Own-child, White, Male,0,0,50, United-States, >50K
+855,34, Private,111567, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+856,34, Local-gov,166545, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+857,59, Private,142182, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+858,34, Private,188798, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+859,49, Private,38563, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,56, United-States, >50K
+860,18, Private,216284, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+861,43, Private,191547, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+862,48, Private,285335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+863,28, Self-emp-inc,142712, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+864,33, Private,80945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+865,24, Private,309055, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+866,21, Private,62339, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+867,17, Private,368700, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K
+868,39, Private,176186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+869,29, Self-emp-not-inc,266855, Bachelors,13, Separated, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+870,44, Private,48087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+871,24, Private,121313, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K
+872,71, Self-emp-not-inc,143437, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K
+873,51, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,2415,40, China, >50K
+874,55, Private,282753, 5th-6th,3, Divorced, Other-service, Unmarried, Black, Male,0,0,25, United-States, <=50K
+875,41, Private,194636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+876,23, Private,153044, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,7, United-States, <=50K
+877,38, Private,411797, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+878,39, Private,117683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+879,19, Private,376540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+880,49, Private,72393, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+881,32, Private,270335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, Philippines, >50K
+882,27, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+883,38, Private,95336, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+884,33, Private,258498, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,60, United-States, <=50K
+885,63, ?,149698, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+886,23, Private,205865, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,28, United-States, <=50K
+887,33, Self-emp-inc,155781, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K
+888,54, Self-emp-not-inc,406468, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K
+889,29, Private,177119, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,2174,0,45, United-States, <=50K
+890,48, ?,144397, Some-college,10, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K
+891,35, Self-emp-not-inc,372525, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+892,28, Private,164170, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, India, <=50K
+893,37, Private,183800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+894,42, Self-emp-not-inc,177307, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K
+895,40, Private,170108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+896,47, Private,341995, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K
+897,22, Private,226508, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K
+898,30, Private,87418, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+899,28, Private,109165, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+900,63, Local-gov,28856, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K
+901,51, Self-emp-not-inc,175897, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+902,22, Private,99697, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+903,27, ?,90270, Assoc-acdm,12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+904,35, Private,152375, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+905,46, Private,171550, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K
+906,37, Private,211154, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K
+907,24, Private,202570, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K
+908,37, Self-emp-not-inc,168496, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+909,53, Private,68898, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+910,27, Private,93235, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+911,38, Private,278924, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+912,53, Self-emp-not-inc,311020, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+913,34, Private,175878, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+914,23, Private,543028, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+915,39, Private,202027, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+916,43, Private,158926, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K
+917,67, Self-emp-inc,76860, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+918,81, Self-emp-not-inc,136063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+919,21, Private,186648, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+920,23, Private,257509, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+921,25, Private,98155, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+922,42, Private,274198, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,38, Mexico, <=50K
+923,38, Private,97083, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+924,64, ?,29825, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K
+925,32, Private,262153, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+926,37, Private,214738, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+927,51, Private,138022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+928,22, Private,91842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K
+929,33, Private,373662, 1st-4th,2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K
+930,42, Private,162003, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K
+931,19, ?,52114, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+932,51, Local-gov,241843, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+933,23, Private,375871, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K
+934,37, Private,186934, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,44, United-States, >50K
+935,37, Private,176900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, >50K
+936,47, Private,21906, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K
+937,41, Private,132222, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,40, United-States, >50K
+938,33, Private,143653, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+939,31, Private,111567, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K
+940,31, Private,78602, Assoc-acdm,12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+941,35, Private,465507, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+942,38, Self-emp-inc,196373, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+943,18, Private,293227, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+944,20, Private,241752, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+945,54, Local-gov,166398, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K
+946,40, Private,184682, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+947,36, Self-emp-inc,108293, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,45, United-States, >50K
+948,43, Private,250802, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+949,44, Self-emp-not-inc,325159, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K
+950,44, State-gov,174675, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+951,43, Private,227065, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K
+952,51, Private,269080, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+953,18, Private,177722, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+954,51, Private,133461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+955,41, Private,239683, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, ?, <=50K
+956,44, Self-emp-inc,398473, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+957,33, Local-gov,298785, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+958,33, Self-emp-not-inc,123424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+959,42, Private,176286, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+960,25, Private,150062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+961,32, Private,169240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K
+962,32, Private,288273, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K
+963,36, Private,526968, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+964,28, Private,57066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+965,20, Private,323573, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+966,35, Self-emp-inc,368825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+967,55, Self-emp-not-inc,189721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+968,48, Private,164966, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+969,36, ?,94954, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+970,34, Private,202046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K
+971,28, Private,161538, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K
+972,67, Private,105252, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,0,2392,40, United-States, >50K
+973,37, Private,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+974,44, Private,32185, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,70, United-States, <=50K
+975,25, Private,178326, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+976,21, Private,255957, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,4101,0,40, United-States, <=50K
+977,40, State-gov,188693, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+978,78, Private,182977, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Female,2964,0,40, United-States, <=50K
+979,34, Private,159929, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+980,49, Private,123207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K
+981,22, Private,284317, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+982,23, ?,184699, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+983,60, Self-emp-not-inc,154474, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,42, United-States, <=50K
+984,45, Local-gov,318280, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+985,63, Private,254907, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+986,41, Private,349221, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,35, United-States, <=50K
+987,47, Private,335973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+988,44, Private,126701, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+989,51, Private,122159, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K
+990,46, Private,187370, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,40, United-States, <=50K
+991,41, Private,194636, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+992,50, Self-emp-not-inc,124793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+993,47, Private,192835, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+994,35, Private,290226, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+995,56, Private,112840, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+996,45, Private,89325, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+997,48, Federal-gov,33109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,58, United-States, >50K
+998,40, Private,82465, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K
+999,39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+1000,20, Private,148294, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+1001,50, Private,168212, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K
+1002,38, State-gov,343642, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+1003,23, Local-gov,115244, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K
+1004,31, Private,162572, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+1005,58, Private,356067, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1006,66, Private,271567, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1007,39, Self-emp-inc,180804, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+1008,54, Self-emp-not-inc,123011, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,52, United-States, >50K
+1009,26, Private,109186, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, <=50K
+1010,51, Private,220537, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1011,34, Private,124827, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+1012,50, Private,767403, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K
+1013,42, Private,118494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+1014,38, Private,173208, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K
+1015,48, Private,107373, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+1016,33, Private,26973, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+1017,51, Private,191965, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+1018,22, Private,122346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1019,19, ?,117201, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+1020,41, Private,198316, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, Japan, <=50K
+1021,48, Local-gov,123075, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+1022,42, Private,209370, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+1023,34, Private,33117, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+1024,23, Private,129042, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1025,56, Private,169133, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Yugoslavia, <=50K
+1026,30, Private,201624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, ?, <=50K
+1027,45, Private,368561, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+1028,48, Private,207848, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+1029,48, Self-emp-inc,138370, Masters,14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K
+1030,31, Private,93106, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1031,20, State-gov,223515, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,1719,20, United-States, <=50K
+1032,27, Private,389713, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1033,32, Private,206365, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1034,76, ?,431192, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K
+1035,19, ?,241616, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,2001,40, United-States, <=50K
+1036,66, Self-emp-inc,150726, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409,0,1, ?, <=50K
+1037,37, Private,123785, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,75, United-States, <=50K
+1038,34, Private,289984, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K
+1039,34, ?,164309, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K
+1040,90, Private,137018, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1041,23, Private,137994, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+1042,43, Private,341204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1043,44, Private,167005, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K
+1044,24, Private,34446, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K
+1045,28, Private,187160, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,55, United-States, <=50K
+1046,64, ?,196288, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+1047,23, Private,217961, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+1048,20, Private,74631, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1049,36, Private,156667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+1050,61, Private,125155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1051,53, Self-emp-not-inc,263925, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K
+1052,30, Private,296453, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+1053,52, Self-emp-not-inc,44728, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+1054,38, Private,193026, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Iran, <=50K
+1055,32, Private,87643, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1056,30, Self-emp-not-inc,106742, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K
+1057,41, Private,302122, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1058,49, Local-gov,193960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+1059,45, Private,185385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, >50K
+1060,43, Self-emp-not-inc,277647, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+1061,61, Private,128848, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, United-States, <=50K
+1062,54, Private,377701, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K
+1063,34, Private,157886, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+1064,49, Private,175958, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K
+1065,38, Private,223004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+1066,35, Private,199352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,80, United-States, >50K
+1067,36, Private,29984, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1068,30, Private,181651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+1069,36, Private,117312, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K
+1070,22, Local-gov,34029, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+1071,38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+1072,37, Private,215310, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+1073,48, State-gov,55863, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,46, United-States, >50K
+1074,17, Private,220384, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K
+1075,19, Self-emp-not-inc,36012, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+1076,27, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,1590,40, United-States, <=50K
+1077,22, Private,191342, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K
+1078,49, Private,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1079,43, State-gov,227910, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+1080,43, Private,173728, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+1081,19, Local-gov,167816, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+1082,58, Self-emp-not-inc,81642, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+1083,41, Local-gov,195258, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+1084,31, Private,232475, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1085,30, Private,241259, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1086,32, Private,118161, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1087,29, Private,201954, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+1088,42, Private,150533, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,52, United-States, >50K
+1089,38, Private,412296, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K
+1090,41, Federal-gov,133060, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1091,44, Self-emp-not-inc,120539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+1092,31, Private,196025, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,60, China, <=50K
+1093,34, Private,107793, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1094,21, Private,163870, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+1095,22, Self-emp-not-inc,361280, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,20, India, <=50K
+1096,62, Private,92178, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1097,19, ?,80710, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+1098,29, Self-emp-inc,260729, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,1977,25, United-States, >50K
+1099,43, Private,182254, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+1100,68, ?,140282, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+1101,45, Self-emp-inc,149865, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K
+1102,39, Self-emp-inc,218184, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, Mexico, <=50K
+1103,41, Private,118619, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K
+1104,34, Self-emp-not-inc,196791, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K
+1105,34, Local-gov,167999, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,33, United-States, <=50K
+1106,31, Private,51259, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,47, United-States, <=50K
+1107,29, Private,131088, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+1108,41, Private,118212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+1109,41, Private,293791, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+1110,35, Self-emp-inc,289430, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, >50K
+1111,33, Private,35378, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K
+1112,37, State-gov,60227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K
+1113,69, Private,168139, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+1114,34, Private,290763, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+1115,60, Self-emp-inc,226355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2415,70, ?, >50K
+1116,36, Private,51100, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1117,41, Private,227644, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+1118,58, Local-gov,205267, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+1119,53, Private,288020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K
+1120,29, Private,140863, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+1121,45, Federal-gov,170915, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K
+1122,34, State-gov,50178, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K
+1123,36, Private,112497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+1124,48, Private,95244, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+1125,20, Private,117606, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1126,35, Private,89508, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+1127,63, Federal-gov,124244, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1128,41, Self-emp-not-inc,154374, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K
+1129,28, Private,294936, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+1130,30, Private,347132, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1131,34, ?,181934, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1132,31, Private,316672, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+1133,37, Private,189382, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+1134,42, ?,184018, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+1135,31, Private,184307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Jamaica, >50K
+1136,46, Self-emp-not-inc,246212, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+1137,35, Federal-gov,250504, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,60, United-States, >50K
+1138,27, Private,138705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K
+1139,41, Private,328447, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K
+1140,19, Private,194608, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+1141,20, Private,230891, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1142,59, Federal-gov,212448, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, Germany, <=50K
+1143,40, Private,214010, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K
+1144,56, Self-emp-not-inc,200235, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+1145,33, Private,354573, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,44, United-States, >50K
+1146,30, Self-emp-inc,205733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+1147,46, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+1148,61, Self-emp-inc,84409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+1149,50, Self-emp-inc,293196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+1150,25, Private,241626, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+1151,40, Private,520586, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K
+1152,24, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, ?, <=50K
+1153,51, Private,302847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K
+1154,43, State-gov,165309, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1155,34, Private,117529, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K
+1156,46, Private,106092, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+1157,28, State-gov,445824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+1158,26, Private,227332, Bachelors,13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+1159,20, Private,275691, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K
+1160,44, Private,193459, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K
+1161,51, Private,284329, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+1162,33, Private,114691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+1163,54, Private,96062, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+1164,50, Private,133963, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K
+1165,33, Private,178506, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1166,65, Private,350498, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,10605,0,20, United-States, >50K
+1167,22, ?,131573, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K
+1168,88, Self-emp-not-inc,206291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+1169,40, Private,182302, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1170,51, Private,241346, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+1171,50, Private,157043, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1172,25, Private,404616, Masters,14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male,0,0,99, United-States, >50K
+1173,20, Private,411862, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+1174,47, Private,183013, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+1175,58, ?,169982, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+1176,22, Private,188544, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+1177,50, State-gov,356619, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+1178,47, Private,45857, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1179,24, Local-gov,289886, 11th,7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K
+1180,50, ?,146015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+1181,40, Private,216237, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+1182,36, Private,416745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+1183,32, Private,202952, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1184,44, Private,167725, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1185,51, ?,165637, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+1186,59, Federal-gov,43280, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+1187,65, Private,118779, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+1188,24, State-gov,191269, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K
+1189,27, Local-gov,247507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K
+1190,51, Private,239155, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1191,48, Private,182862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+1192,39, Private,33886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+1193,28, Private,444304, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+1194,19, Private,187161, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+1195,49, Local-gov,116892, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1196,51, Local-gov,176813, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+1197,59, Private,151616, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+1198,18, Private,240747, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K
+1199,50, Private,75472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, ?, <=50K
+1200,45, Federal-gov,320818, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K
+1201,30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+1202,37, Private,166497, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+1203,44, Private,344060, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, >50K
+1204,33, Private,221196, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+1205,61, Self-emp-inc,113544, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+1206,61, Local-gov,321117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1207,38, Private,79619, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K
+1208,22, ?,42004, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+1209,36, Private,135289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+1210,44, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K
+1211,37, Private,203070, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,62, United-States, <=50K
+1212,31, Private,32406, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,20, United-States, <=50K
+1213,54, Private,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+1214,20, Private,205839, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+1215,63, ?,150389, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, >50K
+1216,48, Self-emp-not-inc,243631, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7688,0,40, United-States, >50K
+1217,33, ?,163003, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,41, China, <=50K
+1218,31, Private,231263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,45, United-States, <=50K
+1219,38, Private,200818, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1220,45, Self-emp-not-inc,247379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+1221,48, Private,349151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1222,53, Private,22154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1223,55, Private,176317, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1224,38, Private,22245, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, ?, >50K
+1225,29, Private,236436, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1226,36, Private,354078, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+1227,42, Self-emp-not-inc,166813, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+1228,50, Private,358740, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, England, <=50K
+1229,75, Self-emp-not-inc,208426, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+1230,46, Private,265266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+1231,52, Federal-gov,31838, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1232,27, Private,175034, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1233,43, Private,413297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+1234,31, Private,106347, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,42, United-States, <=50K
+1235,23, Private,174754, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+1236,34, Private,441454, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K
+1237,41, Self-emp-not-inc,209344, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,40, Cuba, <=50K
+1238,31, Private,185732, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+1239,42, Private,65372, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1240,35, Private,33975, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+1241,55, Private,326297, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+1242,36, State-gov,194630, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1243,65, Self-emp-not-inc,167414, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,59, United-States, >50K
+1244,38, Local-gov,165799, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K
+1245,62, Private,192866, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+1246,54, Self-emp-inc,166459, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+1247,49, Private,148995, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1248,34, Private,190040, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+1249,32, Private,209432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+1250,51, Self-emp-inc,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+1251,48, Self-emp-not-inc,397466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+1252,30, Private,283767, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K
+1253,52, Federal-gov,202452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+1254,28, Self-emp-not-inc,218555, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,1762,40, United-States, <=50K
+1255,29, Private,128604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+1256,38, Private,65466, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1257,57, Private,141326, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+1258,43, Federal-gov,369468, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1259,37, State-gov,136137, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1260,30, Private,236770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1261,53, Private,89534, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K
+1262,69, ?,195779, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K
+1263,73, Private,29778, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K
+1264,22, Self-emp-inc,153516, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+1265,31, Private,163594, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+1266,38, Private,189623, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+1267,50, Self-emp-not-inc,343748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+1268,37, Private,387430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,37, United-States, <=50K
+1269,44, Local-gov,409505, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1270,47, Private,200734, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K
+1271,27, Private,115831, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+1272,28, Private,150296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, <=50K
+1273,25, Private,323545, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1274,20, Private,232577, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+1275,51, Local-gov,152754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1276,46, Private,129007, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K
+1277,67, Private,171584, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,6514,0,7, United-States, >50K
+1278,47, Private,386136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+1279,42, Private,342865, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1280,52, Private,186785, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K
+1281,42, Federal-gov,158926, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K
+1282,65, ?,36039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+1283,21, Private,164019, Some-college,10, Never-married, Farming-fishing, Own-child, Black, Male,0,0,10, United-States, <=50K
+1284,50, Private,88926, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K
+1285,46, Private,188861, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1286,47, Self-emp-not-inc,370119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+1287,57, Private,182062, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+1288,37, Private,37238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1289,50, Private,421132, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1290,58, ?,178660, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+1291,63, Self-emp-not-inc,795830, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,30, El-Salvador, <=50K
+1292,39, Private,278403, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+1293,46, Private,279661, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K
+1294,36, Private,113397, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+1295,26, Private,280093, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,50, United-States, <=50K
+1296,21, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,57, United-States, <=50K
+1297,41, Private,265266, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+1298,44, Local-gov,34935, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+1299,22, Private,58222, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1300,29, Federal-gov,301010, Some-college,10, Never-married, Armed-Forces, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+1301,29, Private,419721, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Japan, <=50K
+1302,58, Self-emp-inc,186791, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K
+1303,36, Self-emp-not-inc,180686, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+1304,30, Private,209103, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+1305,37, Private,32668, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K
+1306,29, Private,256956, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1307,26, Private,202203, 5th-6th,3, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K
+1308,43, Private,85995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+1309,49, Private,125421, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K
+1310,45, Federal-gov,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1311,28, Private,192932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1312,20, ?,244689, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+1313,51, Private,179646, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1314,32, Private,509350, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, Canada, >50K
+1315,24, Private,96279, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+1316,35, Private,119098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+1317,35, ?,327120, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K
+1318,41, State-gov,144928, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1319,48, Private,55237, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+1320,61, Local-gov,101265, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1471,0,35, United-States, <=50K
+1321,20, Private,114874, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+1322,27, Private,190525, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+1323,55, Private,121912, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, >50K
+1324,39, Private,83893, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1325,17, ?,138507, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+1326,47, Private,256522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K
+1327,52, Private,168381, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, >50K
+1328,24, Private,293579, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+1329,29, Private,285290, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1330,25, Private,188488, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+1331,20, Private,324469, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1332,23, Private,275244, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+1333,57, Private,265099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+1334,51, Private,146767, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1335,33, Private,40681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,3674,0,16, United-States, <=50K
+1336,39, Private,174938, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1337,40, Private,240124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+1338,71, Private,269708, Bachelors,13, Divorced, Tech-support, Own-child, White, Female,2329,0,16, United-States, <=50K
+1339,38, State-gov,34180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1340,28, State-gov,225904, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+1341,57, Private,89392, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1342,47, Private,46857, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1343,59, State-gov,105363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+1344,26, Private,195105, HS-grad,9, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+1345,35, Private,184117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1346,61, Self-emp-inc,134768, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K
+1347,17, ?,145886, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+1348,36, Private,153078, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, >50K
+1349,62, ?,225652, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,3411,0,50, United-States, <=50K
+1350,34, Private,467108, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+1351,32, Self-emp-inc,199765, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K
+1352,42, Private,173938, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+1353,39, Private,191161, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1354,58, Private,132606, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1355,61, Self-emp-not-inc,30073, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1848,60, United-States, >50K
+1356,40, Private,155190, 10th,6, Never-married, Craft-repair, Other-relative, Black, Male,0,0,55, United-States, <=50K
+1357,31, Private,42900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K
+1358,36, Private,191161, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1359,23, Private,181820, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+1360,33, Private,105974, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K
+1361,52, Private,146378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+1362,22, Private,103440, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+1363,51, Private,203435, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Italy, <=50K
+1364,31, Federal-gov,168312, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1365,49, Self-emp-inc,257764, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+1366,49, Private,171301, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K
+1367,53, Federal-gov,225339, Some-college,10, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1368,52, Private,152234, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,40, Japan, >50K
+1369,20, Private,444554, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+1370,26, Private,403788, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+1371,61, ?,190997, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+1372,43, Private,221550, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,30, Poland, <=50K
+1373,46, Self-emp-inc,98929, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K
+1374,43, Local-gov,169203, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+1375,41, Private,102332, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1376,44, Self-emp-not-inc,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+1377,54, Private,449257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+1378,65, Private,198766, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K
+1379,32, Private,97429, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K
+1380,25, Private,208999, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+1381,23, Private,37072, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1382,25, Local-gov,163101, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1383,19, Private,119075, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+1384,37, Self-emp-not-inc,137314, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+1385,45, Private,127303, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K
+1386,37, Private,349116, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K
+1387,40, Self-emp-not-inc,266324, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,1564,70, Iran, >50K
+1388,19, ?,194095, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+1389,17, Private,46496, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,5, United-States, <=50K
+1390,27, Private,29904, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1391,40, Local-gov,289403, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1887,40, ?, >50K
+1392,59, Private,226922, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,1762,30, United-States, <=50K
+1393,19, Federal-gov,234151, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1394,43, Private,238287, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1395,42, Private,230624, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K
+1396,54, Private,398212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013,0,40, United-States, <=50K
+1397,54, Self-emp-not-inc,114758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+1398,51, Private,246519, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2105,0,45, United-States, <=50K
+1399,50, Private,137815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+1400,40, Private,260696, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1401,55, Private,325007, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K
+1402,50, Private,113176, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1403,31, Private,66815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+1404,42, ?,51795, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K
+1405,24, Private,241523, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K
+1406,30, Private,30226, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+1407,39, Local-gov,352628, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, >50K
+1408,37, Private,143912, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1409,33, Private,130021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1410,48, Private,329778, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+1411,43, Self-emp-inc,196945, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,78, Thailand, <=50K
+1412,39, Private,24342, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1413,53, Private,34368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+1414,52, Self-emp-not-inc,173839, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+1415,28, State-gov,73211, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+1416,32, Private,86723, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,52, United-States, <=50K
+1417,31, Private,179186, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,90, United-States, >50K
+1418,31, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+1419,47, Private,115070, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1420,19, ?,172582, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+1421,40, Private,256202, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+1422,40, Private,202872, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K
+1423,41, Private,184102, 11th,7, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1424,53, Federal-gov,130703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+1425,46, Private,134727, 11th,7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,43, Germany, <=50K
+1426,45, Self-emp-inc,36228, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,35, United-States, >50K
+1427,39, Private,297847, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,3411,0,34, United-States, <=50K
+1428,19, Private,213644, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1429,57, Private,173796, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K
+1430,49, Private,147322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Peru, <=50K
+1431,59, Private,296253, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1432,32, Private,180871, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+1433,18, ?,169882, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,15, United-States, <=50K
+1434,35, State-gov,211115, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1435,58, Self-emp-inc,183870, 10th,6, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K
+1436,28, Private,441620, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,43, Mexico, <=50K
+1437,36, Federal-gov,218542, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+1438,41, Self-emp-not-inc,141327, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+1439,47, Private,67716, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+1440,50, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,60, United-States, <=50K
+1441,61, ?,347089, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K
+1442,36, Private,336595, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+1443,38, Private,27997, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1444,56, Self-emp-not-inc,145574, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,60, United-States, >50K
+1445,50, Private,30447, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+1446,45, Self-emp-not-inc,256866, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K
+1447,44, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,66, United-States, <=50K
+1448,51, Private,185283, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+1449,44, Self-emp-inc,229466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+1450,25, Private,298225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1451,60, Private,185749, 11th,7, Widowed, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K
+1452,17, ?,333100, 10th,6, Never-married, ?, Own-child, White, Male,1055,0,30, United-States, <=50K
+1453,49, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+1454,46, Private,563883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K
+1455,56, Private,311249, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+1456,25, Private,221757, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,45, United-States, <=50K
+1457,22, Private,310152, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1458,76, ?,211453, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,2, United-States, <=50K
+1459,41, Self-emp-inc,94113, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+1460,48, Self-emp-inc,192945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+1461,46, Private,161508, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1462,30, Private,177675, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+1463,39, Private,51100, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+1464,40, Private,100584, 10th,6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+1465,70, Federal-gov,163003, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+1466,35, Private,67728, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,45, United-States, <=50K
+1467,49, Private,101320, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,75, United-States, <=50K
+1468,24, Private,42706, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K
+1469,40, Private,228535, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,36, United-States, >50K
+1470,61, Private,120939, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,5, United-States, >50K
+1471,25, Private,98283, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+1472,28, Local-gov,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1473,69, State-gov,208869, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,11, United-States, <=50K
+1474,22, Private,207940, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,36, United-States, <=50K
+1475,47, Private,34248, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+1476,38, Private,83727, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K
+1477,26, Private,183077, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1478,17, Private,197850, 11th,7, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,24, United-States, <=50K
+1479,33, Self-emp-not-inc,235271, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+1480,43, Self-emp-not-inc,35236, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1481,58, Private,255822, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+1482,53, Self-emp-inc,263925, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K
+1483,26, Private,256263, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K
+1484,43, Local-gov,293535, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+1485,31, Private,209448, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,40, Mexico, <=50K
+1486,30, Private,57651, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,2001,42, United-States, <=50K
+1487,25, Private,174592, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+1488,57, Federal-gov,278763, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1489,37, Private,175232, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K
+1490,32, Private,402812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+1491,26, Private,101150, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,41, United-States, <=50K
+1492,45, Private,103538, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1493,53, State-gov,156877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,35, United-States, >50K
+1494,27, Private,23940, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+1495,28, Self-emp-inc,210295, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+1496,32, Private,80058, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,43, United-States, >50K
+1497,35, Private,187119, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1980,65, United-States, <=50K
+1498,36, Self-emp-not-inc,105021, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+1499,19, Private,225775, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1500,37, Self-emp-inc,395831, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K
+1501,49, Private,50282, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,45, United-States, <=50K
+1502,20, Private,32732, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1503,64, Self-emp-inc,179436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+1504,60, ?,290593, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+1505,32, Private,123253, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+1506,58, State-gov,48433, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1507,42, Private,245317, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+1508,20, Private,431745, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,14, United-States, <=50K
+1509,42, State-gov,436006, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+1510,25, Private,224943, Some-college,10, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K
+1511,30, Self-emp-not-inc,167990, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K
+1512,37, Self-emp-inc,217054, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+1513,66, Self-emp-not-inc,298834, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+1514,59, Self-emp-inc,125000, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K
+1515,44, Private,123983, Bachelors,13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+1516,46, Private,155489, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,58, United-States, >50K
+1517,59, Private,284834, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,2885,0,30, United-States, <=50K
+1518,25, Private,212495, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,1340,40, United-States, <=50K
+1519,17, Local-gov,32124, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,9, United-States, <=50K
+1520,47, Local-gov,246891, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1521,47, State-gov,141483, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1522,30, Private,31985, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+1523,20, Private,170800, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K
+1524,26, Local-gov,166295, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,2339,55, United-States, <=50K
+1525,20, Private,231286, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,15, United-States, <=50K
+1526,33, Private,159322, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+1527,48, Private,176026, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1528,52, Private,118025, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+1529,37, Private,26898, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,12, United-States, <=50K
+1530,47, Private,232628, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+1531,40, Private,85995, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+1532,48, Private,125421, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+1533,49, Private,245305, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,42, United-States, >50K
+1534,50, Private,73493, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1535,30, Private,197058, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1536,34, Private,122116, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1537,43, Private,75742, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1538,22, Private,214731, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+1539,35, Private,265954, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1540,26, State-gov,197156, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+1541,62, Private,162245, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1628,70, United-States, <=50K
+1542,39, Local-gov,203070, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1543,59, Local-gov,165695, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1544,69, ?,473040, 5th-6th,3, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1545,27, Private,168107, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1546,17, Private,163494, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+1547,38, Private,180342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1548,41, Private,122381, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K
+1549,27, Private,148069, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+1550,23, Private,200973, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1551,17, Private,130806, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K
+1552,56, Private,117148, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1553,24, Private,213977, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1554,62, Private,134768, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, ?, >50K
+1555,44, Private,139338, 12th,8, Divorced, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K
+1556,23, Private,315877, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+1557,41, Self-emp-not-inc,195124, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, ?, <=50K
+1558,25, Private,352057, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+1559,21, Private,236684, Some-college,10, Never-married, Other-service, Other-relative, Black, Female,0,0,8, United-States, <=50K
+1560,18, Private,208447, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,6, United-States, <=50K
+1561,45, Private,149640, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1562,75, ?,111177, Bachelors,13, Widowed, ?, Not-in-family, White, Female,25124,0,16, United-States, >50K
+1563,51, Private,154342, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1564,42, Federal-gov,141459, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K
+1565,47, Private,111797, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, Outlying-US(Guam-USVI-etc), <=50K
+1566,29, Private,111900, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+1567,33, Private,78707, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1568,43, Local-gov,160574, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1569,20, ?,174714, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K
+1570,19, ?,62534, Bachelors,13, Never-married, ?, Own-child, Black, Female,0,0,40, Jamaica, <=50K
+1571,44, Private,216907, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K
+1572,24, Private,198148, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+1573,19, Private,124265, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+1574,49, ?,261059, 10th,6, Separated, ?, Own-child, White, Male,2176,0,40, United-States, <=50K
+1575,52, Private,208137, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1576,38, Self-emp-not-inc,257250, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,52, United-States, <=50K
+1577,24, State-gov,147253, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1578,32, Local-gov,244268, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1579,72, ?,213255, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K
+1580,26, Private,266912, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+1581,31, Private,169104, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+1582,29, Private,200511, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+1583,39, Private,128715, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,10520,0,40, United-States, >50K
+1584,48, Self-emp-not-inc,65535, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+1585,40, Private,103395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+1586,51, Private,71046, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, Scotland, <=50K
+1587,28, Self-emp-not-inc,125442, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+1588,22, Private,169188, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K
+1589,23, Private,121471, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1590,65, Private,207281, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K
+1591,26, Local-gov,46097, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+1592,20, ?,206671, Some-college,10, Never-married, ?, Own-child, White, Male,1055,0,50, United-States, <=50K
+1593,55, Private,98361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, ?, >50K
+1594,38, Self-emp-not-inc,322143, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K
+1595,33, Private,149184, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+1596,33, Local-gov,119829, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K
+1597,37, Private,910398, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1598,19, Private,176570, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K
+1599,24, Private,216129, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1600,30, Private,27207, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+1601,57, State-gov,68830, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1602,22, State-gov,178818, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+1603,57, Private,236944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+1604,46, State-gov,273771, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+1605,67, Private,318533, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+1606,35, ?,451940, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1607,47, Private,102318, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+1608,39, Private,379350, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1609,50, Private,21095, Some-college,10, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+1610,58, Self-emp-not-inc,211547, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K
+1611,36, Private,85272, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K
+1612,45, Private,46406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, England, >50K
+1613,54, Private,53833, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+1614,26, Private,161007, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+1615,60, Private,53707, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1616,46, Private,370119, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+1617,26, Private,310907, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K
+1618,32, Private,375833, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+1619,38, Local-gov,107513, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1620,48, Self-emp-not-inc,58683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+1621,44, Self-emp-not-inc,179557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+1622,37, Private,70240, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+1623,44, Private,147206, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1624,31, Private,175548, HS-grad,9, Never-married, Other-service, Not-in-family, Other, Female,0,0,35, United-States, <=50K
+1625,61, Self-emp-not-inc,163174, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+1626,51, Private,126010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1627,52, Private,147876, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,15024,0,60, United-States, >50K
+1628,45, Private,428350, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,1740,40, United-States, <=50K
+1629,36, ?,200904, Assoc-acdm,12, Married-civ-spouse, ?, Wife, Black, Female,0,0,21, Haiti, <=50K
+1630,39, Private,328466, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,2407,0,70, Mexico, <=50K
+1631,67, Local-gov,258973, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+1632,40, State-gov,345969, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1633,27, Private,127796, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+1634,37, Private,405723, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+1635,57, Private,175942, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+1636,27, Private,284196, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1637,28, Private,89718, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2202,0,48, United-States, <=50K
+1638,34, Self-emp-inc,175761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+1639,54, Private,206369, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,50, United-States, >50K
+1640,52, Private,158993, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,38, United-States, <=50K
+1641,42, Private,285066, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+1642,48, Private,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+1643,65, State-gov,209280, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,6514,0,35, United-States, >50K
+1644,55, Self-emp-not-inc,52888, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,10, United-States, <=50K
+1645,71, Self-emp-inc,133821, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+1646,33, Private,240763, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+1647,30, Private,39054, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1648,35, Private,119272, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+1649,59, Private,143372, 10th,6, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1650,19, Private,323421, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+1651,36, Self-emp-not-inc,136028, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+1652,26, Self-emp-not-inc,163189, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+1653,34, Local-gov,202729, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1654,41, Private,421871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+1655,44, Private,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, Italy, >50K
+1656,26, ?,211798, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+1657,47, Private,198901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+1658,18, Private,214617, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K
+1659,55, Self-emp-not-inc,179715, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,18, United-States, <=50K
+1660,49, Local-gov,107231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K
+1661,44, Private,110355, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+1662,43, Private,184378, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1663,62, Private,273454, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Cuba, <=50K
+1664,44, Private,443040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+1665,39, ?,71701, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+1666,50, Self-emp-inc,160151, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+1667,35, Private,107991, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1668,52, Private,94391, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1669,46, Private,99835, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+1670,44, Private,43711, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+1671,43, Private,83756, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K
+1672,51, Private,120914, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2961,0,40, United-States, <=50K
+1673,20, Private,180052, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+1674,47, Private,170846, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Italy, >50K
+1675,43, Private,37937, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K
+1676,64, ?,168340, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, >50K
+1677,24, Private,38455, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1678,27, Federal-gov,128059, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+1679,32, Private,420895, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1680,37, Private,166744, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,12, United-States, <=50K
+1681,26, Private,238768, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+1682,43, Private,176270, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K
+1683,50, Private,140592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+1684,20, Self-emp-not-inc,211466, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,80, United-States, <=50K
+1685,37, Private,188540, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K
+1686,43, Private,39581, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+1687,37, Private,171150, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+1688,53, Private,117496, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,36, Canada, <=50K
+1689,44, Private,145160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1690,25, Private,28520, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1691,17, Private,103851, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,1055,0,20, United-States, <=50K
+1692,19, Private,375077, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+1693,53, State-gov,281590, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K
+1694,44, Private,151504, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+1695,51, Private,415287, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1902,40, United-States, >50K
+1696,49, Private,32212, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, <=50K
+1697,35, Private,123606, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+1698,44, Private,202565, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1699,54, Private,177927, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+1700,37, Private,256723, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+1701,18, Private,46247, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+1702,24, Private,266926, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+1703,29, Private,112031, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1704,22, ?,376277, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+1705,35, Private,168817, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1706,56, Private,187487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+1707,32, ?,158784, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1708,24, Private,67222, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, China, <=50K
+1709,43, Private,201723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+1710,73, Private,267408, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K
+1711,47, Federal-gov,168191, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+1712,49, Private,105444, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K
+1713,38, Private,156728, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+1714,31, Private,148600, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+1715,39, Private,19914, Some-college,10, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+1716,42, Private,190767, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1717,41, Private,233955, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K
+1718,35, Private,30381, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+1719,38, Private,187069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+1720,31, Private,367314, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1721,51, Local-gov,101119, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K
+1722,38, Private,86551, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,48, United-States, >50K
+1723,40, Local-gov,218995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+1724,21, Private,57711, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+1725,44, Private,303521, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1726,55, Private,199067, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+1727,29, Private,247445, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+1728,49, Private,186078, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+1729,31, Private,77634, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K
+1730,24, Private,180060, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,6849,0,90, United-States, <=50K
+1731,46, Private,56482, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1732,26, Private,314177, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1733,35, Private,239755, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K
+1734,27, Private,377680, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1735,64, Self-emp-not-inc,134960, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,35, United-States, >50K
+1736,26, Private,294493, Bachelors,13, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+1737,21, Private,32616, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1719,16, United-States, <=50K
+1738,45, Private,182655, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,45, ?, >50K
+1739,57, Local-gov,52267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K
+1740,30, Private,117963, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1741,45, Private,98881, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,32, United-States, <=50K
+1742,50, Private,196963, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K
+1743,38, Private,166988, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+1744,43, Self-emp-not-inc,193459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+1745,42, Private,182342, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+1746,32, Private,496743, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+1747,20, Private,154781, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1748,27, Private,219371, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+1749,45, Private,99179, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1750,40, Private,224910, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1751,38, Private,304651, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+1752,37, Private,349689, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1753,60, Private,106850, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1754,53, Self-emp-not-inc,196328, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K
+1755,25, Private,169323, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+1756,47, Self-emp-not-inc,162924, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K
+1757,40, Self-emp-not-inc,34037, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K
+1758,51, ?,167651, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+1759,19, Private,197384, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+1760,42, Private,251795, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+1761,65, ?,266081, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+1762,41, Private,165309, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1763,28, Private,215873, 10th,6, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,45, United-States, <=50K
+1764,46, Private,133938, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,27828,0,50, United-States, >50K
+1765,49, Private,159816, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,20, United-States, >50K
+1766,24, Private,228424, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+1767,32, Private,195576, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1768,71, Private,105200, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,6767,0,20, United-States, <=50K
+1769,26, Private,167350, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K
+1770,29, Private,52199, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1771,50, Private,171338, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+1772,51, Private,120173, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,50, United-States, >50K
+1773,17, ?,158762, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+1774,49, Private,169818, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K
+1775,31, Private,288419, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1776,23, Private,207546, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1777,59, Local-gov,147707, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,2339,40, United-States, <=50K
+1778,17, ?,228373, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+1779,43, Private,193882, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+1780,38, Private,31033, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+1781,37, Private,272950, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1782,29, Private,183523, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+1783,39, Private,238415, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+1784,31, Private,19302, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,2202,0,38, United-States, <=50K
+1785,42, Local-gov,339671, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K
+1786,35, Local-gov,103260, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K
+1787,39, Private,79331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, United-States, >50K
+1788,40, Private,135056, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1789,66, Private,142723, 5th-6th,3, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K
+1790,30, Federal-gov,188569, 9th,5, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+1791,43, Private,57322, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1792,47, Private,178309, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+1793,45, Private,166107, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+1794,31, Private,53042, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Trinadad&Tobago, <=50K
+1795,33, Private,155343, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K
+1796,32, Private,35595, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1797,28, Private,429507, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+1798,50, Federal-gov,159670, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1799,63, Private,151210, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1800,28, Private,186792, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+1801,38, Private,204640, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1802,52, Private,87205, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+1803,38, Self-emp-inc,112847, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+1804,41, Private,107306, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+1805,50, State-gov,211319, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+1806,59, Private,183606, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1807,32, Private,205390, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,49, United-States, <=50K
+1808,73, Local-gov,232871, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,2228,0,10, United-States, <=50K
+1809,52, Self-emp-inc,101017, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K
+1810,57, Private,114495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+1811,35, Private,183898, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+1812,51, Private,163921, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, >50K
+1813,22, Private,311764, 11th,7, Widowed, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K
+1814,49, Private,188330, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+1815,22, Private,267174, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+1816,46, Local-gov,36228, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, <=50K
+1817,48, Private,199739, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+1818,52, Private,185407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+1819,43, State-gov,206139, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+1820,25, Private,282063, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+1821,31, Private,332379, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1822,19, Private,418324, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,36, United-States, <=50K
+1823,19, ?,263338, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K
+1824,51, Private,158948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K
+1825,51, Private,221532, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K
+1826,22, Self-emp-not-inc,202920, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,99999,0,40, Dominican-Republic, >50K
+1827,37, Local-gov,118909, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+1828,19, Private,286469, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+1829,45, Private,191914, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,55, United-States, <=50K
+1830,21, State-gov,142766, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+1831,52, Private,198744, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1832,46, Local-gov,272780, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K
+1833,42, State-gov,219553, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K
+1834,56, Private,261232, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1835,23, Private,64292, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1836,58, Private,312131, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1837,70, Private,30713, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+1838,30, Private,246439, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+1839,45, Private,338105, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+1840,23, Private,228243, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+1841,34, Local-gov,62463, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,40, United-States, <=50K
+1842,38, Private,31603, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K
+1843,24, Private,165054, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1844,53, Private,121618, 7th-8th,4, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+1845,45, Federal-gov,273194, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,3325,0,40, United-States, <=50K
+1846,21, ?,163665, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+1847,21, Private,538319, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K
+1848,34, Private,238246, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1849,32, Self-emp-inc,244665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,45, United-States, >50K
+1850,21, Private,131811, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+1851,63, ?,231777, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+1852,23, Private,156807, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,36, United-States, <=50K
+1853,28, Private,236861, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+1854,29, Self-emp-not-inc,229842, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, <=50K
+1855,25, Local-gov,190057, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+1856,44, State-gov,55076, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+1857,18, Private,152545, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K
+1858,26, Private,153434, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+1859,47, Local-gov,171095, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+1860,23, Private,239322, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1861,46, Private,138999, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1862,61, Local-gov,95450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K
+1863,25, Private,176520, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+1864,38, Local-gov,72338, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,54, United-States, >50K
+1865,60, ?,386261, Bachelors,13, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,15, United-States, <=50K
+1866,23, Private,235722, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+1867,36, Federal-gov,128884, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K
+1868,46, Private,187226, 9th,5, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+1869,32, Self-emp-not-inc,298332, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+1870,40, Private,173607, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+1871,31, Private,226756, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+1872,31, Private,157887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+1873,32, State-gov,171111, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,37, United-States, <=50K
+1874,21, Private,126314, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+1875,63, Private,174018, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+1876,44, Private,144778, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+1877,42, Self-emp-not-inc,201522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+1878,23, ?,22966, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+1879,30, Private,399088, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+1880,24, Private,282202, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, El-Salvador, <=50K
+1881,42, Private,102606, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+1882,44, Self-emp-not-inc,246862, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Italy, >50K
+1883,27, Federal-gov,508336, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K
+1884,27, Local-gov,263431, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+1885,22, Private,235733, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+1886,68, Private,107910, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1887,55, Self-emp-not-inc,184425, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K
+1888,22, Self-emp-not-inc,143062, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Greece, <=50K
+1889,25, Private,199545, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, <=50K
+1890,68, Self-emp-not-inc,197015, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+1891,62, Private,149617, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,16, United-States, <=50K
+1892,26, Private,33610, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+1893,34, Private,192002, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+1894,68, Private,67791, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1895,42, Local-gov,445382, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+1896,45, Private,112283, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+1897,26, Private,157249, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1898,25, Private,109872, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+1899,23, Private,119838, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K
+1900,29, Private,149943, Some-college,10, Never-married, Other-service, Not-in-family, Other, Male,0,1590,40, ?, <=50K
+1901,65, Without-pay,27012, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Female,0,0,50, United-States, <=50K
+1902,31, Private,91666, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1903,26, Private,270276, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1904,39, Private,179271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+1905,44, Private,161819, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+1906,45, Local-gov,339681, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,45, United-States, <=50K
+1907,26, Self-emp-not-inc,219897, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1908,26, Private,91683, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+1909,36, Private,188834, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+1910,38, Private,187046, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+1911,39, Private,191807, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K
+1912,52, Self-emp-inc,179951, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1913,39, Private,324420, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K
+1914,41, Self-emp-not-inc,66632, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1915,42, Local-gov,121718, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K
+1916,47, Private,162034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+1917,28, Local-gov,218990, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,46, United-States, <=50K
+1918,25, Local-gov,125863, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K
+1919,35, Private,225330, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1920,32, Private,120426, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+1921,38, Private,119741, Masters,14, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+1922,44, Private,32000, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K
+1923,21, ?,124242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+1924,27, Private,278581, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+1925,30, Private,230224, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+1926,30, Private,204374, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1741,48, United-States, <=50K
+1927,45, Private,188386, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1628,45, United-States, <=50K
+1928,20, Private,164922, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+1929,57, Private,195176, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K
+1930,43, Private,166740, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K
+1931,50, ?,156008, 11th,7, Married-civ-spouse, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+1932,28, Private,162551, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,48, China, <=50K
+1933,25, Private,211231, HS-grad,9, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,48, United-States, >50K
+1934,25, Private,169990, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1935,90, Private,221832, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+1936,38, Local-gov,255454, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K
+1937,35, Private,28160, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+1938,50, State-gov,159219, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Canada, >50K
+1939,26, Local-gov,103148, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1940,39, Private,165186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+1941,56, Private,31782, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1942,24, Local-gov,249101, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1943,46, Private,243190, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K
+1944,18, Local-gov,153405, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,25, United-States, <=50K
+1945,37, Private,329980, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K
+1946,57, Private,176079, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1947,43, State-gov,218542, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1948,29, State-gov,303446, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, Nicaragua, <=50K
+1949,40, Private,102606, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+1950,44, Self-emp-not-inc,483201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+1951,77, Local-gov,144608, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,6, United-States, <=50K
+1952,30, Private,226013, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1953,21, Private,165475, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+1954,66, Private,263637, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+1955,40, Private,201495, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K
+1956,68, Private,213720, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+1957,64, Private,170483, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+1958,26, Private,214303, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1959,32, Private,190511, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+1960,32, Private,242150, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K
+1961,51, Local-gov,159755, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+1962,50, Private,147629, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+1963,49, Private,268022, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+1964,28, Private,188711, Bachelors,13, Never-married, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K
+1965,29, Private,452205, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+1966,21, Private,260847, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+1967,28, Private,291374, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+1968,55, Private,189933, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+1969,45, Self-emp-not-inc,133969, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, South, >50K
+1970,35, Private,330664, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1971,31, ?,672412, 11th,7, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+1972,26, Private,122999, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K
+1973,30, Private,111415, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Germany, <=50K
+1974,33, Private,217235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+1975,40, Private,121956, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550,0,40, Cambodia, >50K
+1976,23, Private,120172, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1977,35, Private,343403, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+1978,48, Self-emp-not-inc,104790, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+1979,39, Local-gov,473547, 10th,6, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+1980,53, Local-gov,260106, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1981,49, Federal-gov,168232, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+1982,31, Private,348491, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+1983,36, Private,24106, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+1984,60, Self-emp-inc,197553, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+1985,29, Private,421065, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K
+1986,54, Self-emp-inc,138852, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+1987,28, ?,169631, Assoc-acdm,12, Married-AF-spouse, ?, Wife, White, Female,0,0,3, United-States, <=50K
+1988,34, Private,379412, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+1989,30, Private,181992, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+1990,19, Private,365640, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, ?, <=50K
+1991,26, Private,236564, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+1992,47, Private,363418, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, >50K
+1993,50, Private,112351, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K
+1994,30, Private,204704, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, >50K
+1995,44, Private,54611, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+1996,49, Private,128132, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+1997,75, Self-emp-not-inc,30599, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+1998,37, Private,379522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+1999,51, State-gov,196504, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K
+2000,35, Private,82552, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+2001,28, Private,104024, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+2002,66, Self-emp-not-inc,293114, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,40, United-States, <=50K
+2003,72, Private,74141, 9th,5, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,48, United-States, >50K
+2004,39, Private,192337, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2005,27, Private,262478, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K
+2006,57, Private,185072, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K
+2007,24, Private,296045, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,38, United-States, <=50K
+2008,28, Private,246595, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,70, United-States, <=50K
+2009,23, Private,54472, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+2010,31, Private,331065, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1408,40, United-States, <=50K
+2011,23, Private,161708, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+2012,31, Private,264936, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2013,27, Local-gov,113545, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2014,30, Private,212237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,45, United-States, <=50K
+2015,31, Private,170430, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, ?, <=50K
+2016,34, Private,173806, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,4865,0,60, United-States, <=50K
+2017,57, Federal-gov,370890, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,2258,40, United-States, <=50K
+2018,39, Private,505119, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K
+2019,23, Private,193089, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+2020,24, Local-gov,33432, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+2021,36, Private,103110, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, England, <=50K
+2022,32, Private,160362, Some-college,10, Divorced, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K
+2023,35, Private,204621, Assoc-acdm,12, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+2024,36, Private,35309, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+2025,23, ?,154373, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K
+2026,47, Private,194772, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+2027,35, Private,154410, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2028,44, Federal-gov,220563, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+2029,32, State-gov,253354, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+2030,32, Private,211699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K
+2031,63, Self-emp-not-inc,167501, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051,0,10, United-States, >50K
+2032,34, Private,229732, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2033,47, Private,185465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+2034,27, Private,335764, 11th,7, Married-civ-spouse, Sales, Own-child, Black, Male,0,0,35, United-States, <=50K
+2035,23, Private,460046, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K
+2036,19, ?,33487, Some-college,10, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+2037,50, Private,176924, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+2038,49, State-gov,213307, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+2039,36, Private,83893, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2040,23, Private,194102, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+2041,61, Private,238611, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K
+2042,41, Private,113597, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,16, United-States, <=50K
+2043,27, Self-emp-not-inc,208406, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+2044,53, Private,274528, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K
+2045,17, Self-emp-not-inc,60116, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K
+2046,23, ?,196816, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+2047,53, Private,166368, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2048,28, Private,303954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,42, United-States, >50K
+2049,24, Private,99386, Bachelors,13, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+2050,22, Private,188569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+2051,53, Private,302868, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+2052,18, Private,283342, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K
+2053,24, Private,233777, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, Mexico, <=50K
+2054,20, Private,170038, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2055,30, Local-gov,261319, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+2056,37, State-gov,367237, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K
+2057,34, Private,126838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+2058,19, Private,354104, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+2059,20, Private,176321, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K
+2060,47, Private,85129, HS-grad,9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+2061,20, ?,376474, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K
+2062,22, Private,62507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+2063,42, Local-gov,111252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+2064,60, Private,156889, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2065,32, Private,549430, HS-grad,9, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K
+2066,46, Private,29696, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2067,66, Private,98837, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2068,37, Private,86150, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,30, United-States, >50K
+2069,34, Private,204991, Some-college,10, Divorced, Exec-managerial, Own-child, White, Male,0,0,44, United-States, <=50K
+2070,45, Private,371886, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,46, United-States, <=50K
+2071,35, Private,103605, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+2072,63, ?,54851, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+2073,51, Local-gov,133050, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+2074,36, Local-gov,126569, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+2075,25, Federal-gov,144259, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+2076,51, Private,161482, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+2077,25, Self-emp-not-inc,305449, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+2078,19, Private,125010, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K
+2079,47, Private,304133, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+2080,59, Local-gov,120617, HS-grad,9, Separated, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2081,34, Private,157747, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2082,40, Private,297396, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K
+2083,42, Private,121287, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+2084,28, ?,308493, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,17, Honduras, <=50K
+2085,37, Private,49115, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+2086,51, Self-emp-inc,208302, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K
+2087,25, Private,304032, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K
+2088,31, Federal-gov,207301, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+2089,37, Private,123211, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, >50K
+2090,42, Private,33521, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+2091,29, ?,410351, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2092,35, Private,410034, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2093,51, Private,175339, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, >50K
+2094,22, ?,27937, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K
+2095,49, Private,168211, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K
+2096,26, Private,125680, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,16, Japan, <=50K
+2097,56, Local-gov,160829, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K
+2098,52, Private,266529, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+2099,61, Self-emp-not-inc,115023, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, ?, <=50K
+2100,47, State-gov,224149, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+2101,52, Private,150930, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2102,30, Private,343699, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+2103,43, Self-emp-inc,172826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,55, United-States, >50K
+2104,35, Private,163392, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+2105,17, ?,103810, 12th,8, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+2106,42, Private,213821, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+2107,26, Private,211265, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, Black, Female,0,0,35, Dominican-Republic, <=50K
+2108,58, Local-gov,160586, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+2109,66, Private,146454, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5556,0,40, United-States, >50K
+2110,30, Private,203277, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+2111,46, Private,309895, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2112,45, Private,26522, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,35, United-States, >50K
+2113,57, Private,103809, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+2114,25, Private,90291, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+2115,21, State-gov,181761, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K
+2116,37, Private,35330, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1669,55, United-States, <=50K
+2117,45, Local-gov,135776, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+2118,61, ?,188172, Doctorate,16, Widowed, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K
+2119,39, Private,179579, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+2120,42, Private,193626, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,53, United-States, <=50K
+2121,20, Private,108887, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+2122,23, Private,199070, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,16, United-States, <=50K
+2123,25, Private,441591, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+2124,47, Private,185254, 5th-6th,3, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, El-Salvador, <=50K
+2125,24, Private,109307, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+2126,20, ?,81853, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K
+2127,35, Private,23621, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K
+2128,44, Local-gov,145178, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,38, Jamaica, >50K
+2129,47, State-gov,30575, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+2130,28, State-gov,130620, 11th,7, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K
+2131,41, Local-gov,22155, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K
+2132,31, Private,106437, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2133,27, Private,79787, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K
+2134,47, Private,326857, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+2135,44, Private,81853, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+2136,61, Private,120933, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2137,42, Federal-gov,153143, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K
+2138,46, Private,27669, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+2139,46, Private,105444, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+2140,54, Local-gov,169785, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+2141,49, Private,122493, HS-grad,9, Widowed, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K
+2142,56, Local-gov,242670, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2143,52, Private,54933, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+2144,34, Private,209317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+2145,25, Self-emp-not-inc,282631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2146,18, Private,98044, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+2147,58, Private,187487, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2148,31, State-gov,60186, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2149,29, Private,75648, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+2150,28, Private,201175, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2151,30, Private,19302, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K
+2152,21, ?,300812, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+2153,44, Private,146659, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,35, United-States, >50K
+2154,75, Private,101887, 10th,6, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,70, United-States, <=50K
+2155,66, ?,117778, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+2156,26, Private,60726, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+2157,33, Self-emp-inc,201763, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+2158,57, Self-emp-inc,119253, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K
+2159,47, Self-emp-not-inc,121124, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, Italy, >50K
+2160,41, Private,220132, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+2161,21, Private,60639, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K
+2162,17, Private,195262, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,17, United-States, <=50K
+2163,61, ?,113544, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K
+2164,47, ?,331650, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, >50K
+2165,22, Private,100587, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,15, United-States, <=50K
+2166,47, Private,298130, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2167,45, Private,242391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2168,32, Self-emp-not-inc,197867, Assoc-voc,11, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+2169,59, Private,151977, 10th,6, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+2170,38, Private,277347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+2171,33, Private,125249, HS-grad,9, Separated, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+2172,41, Private,222142, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2173,51, Private,270194, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+2174,42, Private,169995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+2175,27, Private,359155, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+2176,60, Private,123992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+2177,64, Local-gov,266080, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+2178,37, Private,201531, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+2179,54, Self-emp-not-inc,179704, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+2180,36, Private,393673, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+2181,34, Private,244147, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+2182,41, Self-emp-not-inc,438696, Masters,14, Divorced, Sales, Unmarried, White, Male,0,0,5, United-States, >50K
+2183,35, Self-emp-not-inc,207568, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K
+2184,63, Self-emp-inc,54052, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K
+2185,46, Private,187581, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+2186,47, Self-emp-not-inc,77102, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2187,24, Private,353010, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K
+2188,29, Private,54131, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+2189,74, Federal-gov,39890, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Female,0,0,18, United-States, <=50K
+2190,50, Private,156877, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K
+2191,22, Private,355686, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2192,48, Private,300168, 12th,8, Separated, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+2193,30, Private,488720, 9th,5, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+2194,32, Private,157287, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2195,39, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2196,49, Private,214169, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+2197,25, Private,192149, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+2198,50, Private,137253, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+2199,44, Private,373050, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+2200,65, Private,90377, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,6767,0,60, United-States, <=50K
+2201,28, Federal-gov,183151, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K
+2202,55, Private,227158, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2203,49, Local-gov,34021, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K
+2204,31, Private,165148, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,12, United-States, <=50K
+2205,47, Private,211668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, >50K
+2206,45, Private,358886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+2207,35, Private,47707, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+2208,34, Self-emp-not-inc,306982, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K
+2209,49, Local-gov,52590, HS-grad,9, Widowed, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2210,39, ?,179352, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+2211,27, Private,158156, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,42, United-States, <=50K
+2212,42, Private,70055, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+2213,60, ?,131852, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+2214,64, Self-emp-not-inc,177825, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,1055,0,40, United-States, <=50K
+2215,33, Private,127215, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+2216,23, Private,175183, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2217,45, Private,142287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+2218,34, Private,221324, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2219,53, Private,227602, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, Mexico, <=50K
+2220,22, Private,228452, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+2221,57, State-gov,39380, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+2222,20, ?,96862, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K
+2223,23, Private,336360, 7th-8th,4, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+2224,31, Private,257644, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+2225,23, State-gov,235853, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,22, United-States, <=50K
+2226,30, Private,270577, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2227,32, Local-gov,222900, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+2228,42, Private,99254, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K
+2229,51, Private,224763, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K
+2230,59, Self-emp-not-inc,174056, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+2231,36, Private,127306, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+2232,45, Private,339506, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2233,35, Private,178322, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K
+2234,33, Private,189843, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2235,43, Private,160815, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+2236,60, Private,207665, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+2237,37, State-gov,160402, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+2238,35, Private,170263, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+2239,36, Private,184659, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,52, United-States, <=50K
+2240,38, Federal-gov,338320, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+2241,54, Private,101017, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2242,51, Private,204322, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+2243,45, Private,241350, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+2244,63, Federal-gov,217994, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+2245,51, Private,128143, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+2246,58, Self-emp-not-inc,164065, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,18, United-States, <=50K
+2247,64, Local-gov,78866, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2248,20, Private,236769, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+2249,44, Federal-gov,239539, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+2250,39, Private,34028, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,48, United-States, <=50K
+2251,45, State-gov,207847, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2252,44, Private,175935, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K
+2253,22, Federal-gov,218445, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2254,63, Self-emp-inc,215833, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2255,26, Private,156976, Assoc-voc,11, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2256,42, Self-emp-not-inc,220647, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+2257,20, Private,218343, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+2258,29, Private,241431, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+2259,38, Local-gov,123983, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,1741,40, Vietnam, <=50K
+2260,25, Private,73289, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+2261,27, Private,408623, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K
+2262,46, Private,169180, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2263,31, Private,54929, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+2264,24, Private,306779, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,35, United-States, <=50K
+2265,43, Private,159549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+2266,23, Private,482082, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,21, Mexico, <=50K
+2267,32, Local-gov,286101, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,37, United-States, <=50K
+2268,44, Private,167955, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K
+2269,40, Self-emp-not-inc,209040, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2270,38, Private,105017, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+2271,23, Private,27776, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2272,19, Private,242941, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1602,10, United-States, <=50K
+2273,41, Private,118853, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2274,48, Private,119565, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2275,23, Private,196827, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, <=50K
+2276,47, Private,275361, Assoc-acdm,12, Widowed, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+2277,42, Private,225193, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2278,17, Private,329783, 10th,6, Never-married, Sales, Other-relative, White, Female,0,0,10, United-States, <=50K
+2279,29, Local-gov,107411, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K
+2280,21, State-gov,258490, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+2281,18, ?,120243, 11th,7, Never-married, ?, Own-child, White, Male,0,0,27, United-States, <=50K
+2282,31, Private,219509, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, >50K
+2283,27, Local-gov,29174, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+2284,29, Private,40083, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K
+2285,23, Private,87528, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+2286,41, Private,116379, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,55, Taiwan, >50K
+2287,46, Local-gov,216214, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+2288,34, Private,268051, Some-college,10, Married-civ-spouse, Protective-serv, Other-relative, Black, Female,0,0,25, Haiti, <=50K
+2289,42, Self-emp-not-inc,121718, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K
+2290,18, Private,201901, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,1719,15, United-States, <=50K
+2291,46, Private,109089, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K
+2292,18, ?,346382, 11th,7, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K
+2293,52, Private,284129, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+2294,56, Private,143030, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+2295,21, Private,212619, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+2296,22, Self-emp-not-inc,199011, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,20, United-States, <=50K
+2297,31, Private,118901, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+2298,41, Self-emp-not-inc,129865, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+2299,25, Private,157900, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2300,43, Self-emp-not-inc,349341, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+2301,45, Private,158685, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2302,26, Private,386585, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K
+2303,90, Private,52386, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K
+2304,45, Private,246891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+2305,30, Private,190385, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+2306,42, Private,37869, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2307,20, Private,217807, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+2308,53, Private,149784, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+2309,64, State-gov,201293, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+2310,56, Private,128764, 7th-8th,4, Widowed, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K
+2311,42, Private,27444, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+2312,26, Private,62438, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+2313,31, Local-gov,151726, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+2314,40, Private,29841, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+2315,58, Private,131608, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2316,41, Private,110562, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+2317,58, Self-emp-inc,190541, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K
+2318,62, State-gov,33142, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+2319,65, Self-emp-inc,139272, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K
+2320,40, Private,234633, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2321,45, Local-gov,238386, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+2322,22, Private,460835, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K
+2323,23, ?,243190, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, China, <=50K
+2324,63, Federal-gov,97855, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+2325,39, Private,77146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+2326,37, Private,200863, Some-college,10, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+2327,25, ?,41107, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, Canada, <=50K
+2328,56, Private,77415, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+2329,32, Private,236770, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2330,53, Federal-gov,173093, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,1887,40, Philippines, >50K
+2331,32, Private,235124, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2332,23, Self-emp-not-inc,282604, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K
+2333,35, Private,199288, 11th,7, Separated, Transport-moving, Not-in-family, White, Male,0,0,90, United-States, <=50K
+2334,51, Private,191659, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,65, United-States, >50K
+2335,19, Private,43285, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+2336,41, Private,160837, 11th,7, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+2337,22, Private,230574, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K
+2338,23, Private,176178, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+2339,36, Private,116358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K
+2340,27, ?,253873, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+2341,45, Private,107787, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K
+2342,23, Self-emp-not-inc,519627, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, Mexico, <=50K
+2343,21, Private,191460, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2344,44, Private,198282, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+2345,29, Private,214858, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+2346,36, Self-emp-not-inc,64875, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K
+2347,18, Private,675421, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,40, United-States, <=50K
+2348,62, Self-emp-not-inc,134768, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+2349,25, Federal-gov,207342, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2350,34, Private,64830, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+2351,31, Private,220066, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,14344,0,50, United-States, >50K
+2352,37, Private,82521, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+2353,33, Private,176711, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, England, <=50K
+2354,22, ?,217421, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+2355,28, Private,111900, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+2356,22, ?,196943, Some-college,10, Separated, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+2357,47, Private,481987, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+2358,67, ?,184506, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,419,3, United-States, <=50K
+2359,20, ?,121313, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+2360,34, Private,158420, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+2361,26, Private,256000, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+2362,36, Private,183892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,44, United-States, >50K
+2363,28, Private,42734, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+2364,22, Private,181773, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+2365,47, Private,184945, Some-college,10, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+2366,33, Private,107248, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+2367,34, Self-emp-inc,215382, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K
+2368,25, Private,122999, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+2369,37, Private,758700, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,50, Mexico, <=50K
+2370,36, State-gov,166606, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+2371,61, Local-gov,192060, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,30, ?, <=50K
+2372,74, ?,340939, 9th,5, Married-civ-spouse, ?, Husband, White, Male,3471,0,40, United-States, <=50K
+2373,57, Private,205708, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K
+2374,55, Private,67450, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, England, <=50K
+2375,20, Private,242077, HS-grad,9, Divorced, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+2376,43, Private,129573, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,44, United-States, <=50K
+2377,54, Private,181132, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, England, >50K
+2378,25, Private,212302, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2379,42, Private,83411, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+2380,23, ?,148751, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+2381,17, Private,317681, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K
+2382,39, ?,103986, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+2383,63, Private,30602, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+2384,19, Private,172893, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K
+2385,56, Self-emp-inc,211804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+2386,33, Self-emp-not-inc,312055, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+2387,37, Private,65390, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+2388,27, Private,200500, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+2389,36, Local-gov,241962, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+2390,30, Self-emp-inc,78530, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, Canada, >50K
+2391,22, Private,189950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K
+2392,35, Private,111387, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1579,40, United-States, <=50K
+2393,20, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+2394,18, Private,343059, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+2395,25, Private,302465, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+2396,53, Private,156843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,54, United-States, >50K
+2397,21, ?,79728, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+2398,19, Private,55284, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+2399,34, Private,509364, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K
+2400,32, State-gov,117927, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+2401,20, Private,137651, Some-college,10, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+2402,70, Private,131060, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K
+2403,57, Private,346963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2404,54, Private,183611, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3137,0,50, United-States, <=50K
+2405,34, Private,134737, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2406,48, Private,36503, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2407,42, Private,250121, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+2408,45, Private,330535, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+2409,27, Private,387776, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+2410,51, Private,41474, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+2411,36, Local-gov,318972, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,65, United-States, <=50K
+2412,33, Private,86143, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+2413,50, Private,181139, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2414,44, Private,326232, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,2547,50, United-States, >50K
+2415,39, Local-gov,153976, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+2416,55, Self-emp-not-inc,59469, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+2417,24, Private,127139, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+2418,35, Private,136343, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2419,32, Self-emp-not-inc,350624, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2420,66, ?,177351, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2174,40, United-States, >50K
+2421,68, Private,166149, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,2206,30, United-States, <=50K
+2422,29, Private,121523, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+2423,24, Self-emp-not-inc,267396, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2424,61, Private,83045, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2425,34, Private,160449, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K
+2426,55, Self-emp-inc,124137, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,35, Greece, >50K
+2427,20, ?,287681, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K
+2428,41, Private,154194, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+2429,36, Self-emp-not-inc,295127, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K
+2430,60, Private,240521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+2431,61, Self-emp-not-inc,244087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+2432,35, Private,356250, Prof-school,15, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,35, China, <=50K
+2433,42, State-gov,293791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+2434,26, Private,44308, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2435,44, Local-gov,210527, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2436,31, State-gov,151763, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K
+2437,39, State-gov,267581, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2438,20, Private,100188, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K
+2439,32, Self-emp-inc,111746, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2440,32, Self-emp-not-inc,171091, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2441,61, Private,355645, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,20, Trinadad&Tobago, <=50K
+2442,54, Local-gov,137678, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2443,23, Private,70894, Assoc-acdm,12, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+2444,19, Private,171306, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,3, United-States, <=50K
+2445,31, Private,100997, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+2446,35, Private,63921, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+2447,29, Private,32897, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+2448,29, Local-gov,251854, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+2449,25, Private,345121, 10th,6, Separated, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+2450,46, Private,86220, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2451,35, Private,172845, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+2452,20, Private,171398, 10th,6, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+2453,24, Self-emp-not-inc,174391, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+2454,48, Private,207058, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+2455,37, Private,291251, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2456,60, Self-emp-not-inc,224377, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2457,39, Private,105813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2458,29, Local-gov,180916, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+2459,31, Self-emp-not-inc,122749, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+2460,38, Private,31069, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K
+2461,26, Self-emp-not-inc,284343, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2462,64, Private,319371, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+2463,46, Private,174224, Assoc-voc,11, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2464,69, ?,183958, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+2465,39, Private,127772, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3103,0,44, United-States, >50K
+2466,48, Private,80651, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,55, United-States, <=50K
+2467,46, Private,62793, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+2468,42, Private,191712, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+2469,39, Self-emp-not-inc,237532, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,54, Dominican-Republic, >50K
+2470,50, Federal-gov,20179, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+2471,24, Private,311376, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2472,30, Private,432565, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,40, Canada, >50K
+2473,39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,60, United-States, >50K
+2474,29, Self-emp-not-inc,125190, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2475,23, Private,342946, 11th,7, Never-married, Transport-moving, Own-child, White, Female,0,0,38, United-States, <=50K
+2476,21, ?,219835, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2477,32, Private,123429, 10th,6, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2478,69, Self-emp-inc,69209, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3818,0,30, United-States, <=50K
+2479,55, Private,66356, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+2480,41, Private,195897, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+2481,44, Self-emp-inc,153132, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,52, United-States, >50K
+2482,18, Private,230875, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2483,74, Self-emp-not-inc,92298, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K
+2484,40, Private,185145, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+2485,27, Private,297296, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2486,75, ?,164849, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,1409,0,5, United-States, <=50K
+2487,55, Private,145214, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2488,52, Self-emp-not-inc,242341, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+2489,54, Private,240542, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+2490,36, Private,104772, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,48, United-States, <=50K
+2491,76, ?,152802, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+2492,26, Private,181666, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+2493,18, Private,415520, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+2494,38, Private,258761, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2495,50, Private,88842, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K
+2496,19, ?,356717, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+2497,32, Private,158438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+2498,57, Private,206206, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+2499,20, Private,51816, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K
+2500,27, Private,253814, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2501,31, Self-emp-not-inc,161745, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,1980,60, United-States, <=50K
+2502,60, Private,162947, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K
+2503,52, Private,163027, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K
+2504,61, Private,146788, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+2505,57, Self-emp-not-inc,73309, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, >50K
+2506,19, ?,143867, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+2507,59, Self-emp-not-inc,104216, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+2508,34, Self-emp-not-inc,345705, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K
+2509,31, Private,133770, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+2510,42, Private,209392, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+2511,70, Private,262345, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,6, United-States, <=50K
+2512,47, Private,277545, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+2513,47, ?,174525, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3942,0,40, ?, <=50K
+2514,29, Private,490332, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+2515,27, Private,211570, 11th,7, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+2516,25, Private,374918, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+2517,51, Private,106728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,60, United-States, >50K
+2518,28, Private,173649, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, ?, <=50K
+2519,35, Private,174597, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2520,36, Self-emp-not-inc,233533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+2521,54, ?,169785, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2522,46, Private,133169, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2523,52, Private,198824, Assoc-voc,11, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+2524,65, Private,174056, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2525,43, Private,188696, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2526,41, Local-gov,90692, HS-grad,9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+2527,34, Private,271933, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,1741,45, United-States, <=50K
+2528,47, Self-emp-not-inc,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+2529,49, Federal-gov,213668, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,56, United-States, >50K
+2530,21, Private,294789, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+2531,20, Private,157599, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+2532,18, Local-gov,134935, 12th,8, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+2533,27, Private,466224, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2534,34, Self-emp-not-inc,111985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+2535,38, Private,264627, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2536,24, Private,213427, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2537,34, Private,279015, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K
+2538,47, Private,165937, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+2539,27, Federal-gov,188343, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2540,63, Private,158609, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,8, United-States, <=50K
+2541,34, Private,193036, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+2542,25, Private,198632, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2543,54, Private,175912, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Male,914,0,40, United-States, <=50K
+2544,19, ?,192773, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+2545,35, Private,101387, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+2546,24, Private,60783, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K
+2547,26, Private,183224, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K
+2548,59, Local-gov,100776, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2549,43, Private,57600, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, <=50K
+2550,20, Private,174063, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+2551,41, Private,306495, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+2552,51, Private,249741, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2553,27, Private,93021, HS-grad,9, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K
+2554,36, Private,49626, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+2555,25, Private,63062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K
+2556,55, Private,320835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+2557,22, Local-gov,123727, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,21, United-States, <=50K
+2558,58, State-gov,110517, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4064,0,40, India, <=50K
+2559,43, Private,149670, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,15, United-States, <=50K
+2560,39, Private,172425, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+2561,40, Private,216116, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, Haiti, <=50K
+2562,46, Private,174209, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+2563,54, Federal-gov,175083, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+2564,19, Private,129059, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,30, United-States, <=50K
+2565,24, Private,121313, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+2566,53, ?,181317, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+2567,24, State-gov,166851, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,13, United-States, <=50K
+2568,29, Self-emp-not-inc,29616, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K
+2569,56, Self-emp-inc,105582, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+2570,54, ?,124993, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+2571,21, ?,148509, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+2572,34, Private,230246, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+2573,56, Private,117881, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2574,34, Private,203408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+2575,19, Private,446219, 10th,6, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2576,32, Self-emp-inc,110331, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+2577,48, Private,207946, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K
+2578,67, ?,45537, Masters,14, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, >50K
+2579,47, Private,188330, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K
+2580,52, Private,147629, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+2581,40, Private,153799, 1st-4th,2, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K
+2582,28, Private,203776, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+2583,41, Private,168071, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+2584,57, Private,348430, 1st-4th,2, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, Portugal, <=50K
+2585,51, Private,103407, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2586,26, ?,152046, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,35, Germany, <=50K
+2587,36, Private,153205, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, ?, <=50K
+2588,33, Private,326104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+2589,46, Private,238162, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+2590,50, Private,221336, HS-grad,9, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+2591,33, Private,180656, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+2592,77, Self-emp-not-inc,145329, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,401,0,20, United-States, <=50K
+2593,39, Private,315776, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,8614,0,52, United-States, >50K
+2594,67, ?,150516, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,3, United-States, <=50K
+2595,35, Private,325802, Assoc-acdm,12, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,24, United-States, <=50K
+2596,23, Private,133985, 10th,6, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K
+2597,37, Private,269329, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K
+2598,41, Private,183203, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+2599,60, Private,76127, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K
+2600,32, Private,195891, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K
+2601,56, Federal-gov,162137, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+2602,45, State-gov,37672, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+2603,24, Private,161708, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+2604,18, Private,80616, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K
+2605,31, Private,209276, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, United-States, <=50K
+2606,21, ?,34443, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+2607,45, Private,192835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K
+2608,23, Private,203240, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2609,45, State-gov,102308, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+2610,18, Private,40829, 11th,7, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K
+2611,25, Private,60726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K
+2612,31, State-gov,116677, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2613,19, Private,57067, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,45, United-States, <=50K
+2614,41, Private,304906, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2615,74, Private,101590, Prof-school,15, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+2616,27, Private,258102, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+2617,23, Private,241185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2618,31, Private,124827, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+2619,40, Self-emp-inc,76625, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+2620,41, Federal-gov,263339, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+2621,25, Private,135645, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+2622,42, Private,245626, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+2623,24, Private,210781, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2624,42, Private,235786, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+2625,45, Self-emp-not-inc,160167, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+2626,52, Federal-gov,30731, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+2627,34, Private,314375, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2628,32, Private,81528, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K
+2629,54, Private,182854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+2630,42, Federal-gov,296798, 11th,7, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K
+2631,32, Private,194426, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K
+2632,40, ?,70645, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+2633,55, Self-emp-inc,141807, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+2634,66, ?,112871, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+2635,52, State-gov,71344, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+2636,21, State-gov,341410, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K
+2637,33, Private,118941, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+2638,52, ?,159755, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+2639,28, Private,128509, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K
+2640,27, Self-emp-not-inc,229125, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2641,42, Local-gov,142756, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+2642,27, Self-emp-inc,243871, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K
+2643,47, Private,213140, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+2644,19, Private,196857, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2645,46, Private,138626, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2646,55, Self-emp-not-inc,161334, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Nicaragua, <=50K
+2647,50, Private,273536, 7th-8th,4, Married-civ-spouse, Sales, Husband, Other, Male,0,0,49, Dominican-Republic, <=50K
+2648,32, Private,115631, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,4101,0,50, United-States, <=50K
+2649,28, Private,185957, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+2650,23, Private,334357, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+2651,43, Private,96102, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2652,34, Private,213226, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K
+2653,19, Private,115248, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+2654,37, Private,185061, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K
+2655,27, Private,147638, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K
+2656,18, Private,280298, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+2657,31, Private,163516, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2658,49, Private,277434, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+2659,26, Federal-gov,206983, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Columbia, <=50K
+2660,48, Private,108993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+2661,39, Private,288551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+2662,41, Private,176069, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+2663,48, State-gov,183486, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,56, United-States, >50K
+2664,40, Private,163215, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,10520,0,40, United-States, >50K
+2665,70, Private,94692, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+2666,20, Private,118462, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,43, United-States, <=50K
+2667,38, Private,407068, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,75, Mexico, <=50K
+2668,37, Self-emp-not-inc,243587, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,40, Cuba, <=50K
+2669,49, Private,23074, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+2670,51, Private,237735, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K
+2671,43, Private,188291, 1st-4th,2, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+2672,38, Private,284166, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2673,18, ?,423460, 11th,7, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K
+2674,23, Private,287681, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K
+2675,34, Private,509364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2676,62, ?,139391, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+2677,33, Private,91964, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+2678,31, Private,117526, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K
+2679,64, Private,91343, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+2680,26, Local-gov,336969, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,28, El-Salvador, <=50K
+2681,55, Private,255364, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+2682,61, Local-gov,167670, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2683,37, Private,211494, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+2684,78, Local-gov,136198, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, United-States, <=50K
+2685,27, Federal-gov,409815, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2686,49, Private,188823, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K
+2687,55, State-gov,146326, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+2688,42, Private,154374, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,58, United-States, <=50K
+2689,22, ?,216563, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K
+2690,61, Private,197286, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2691,64, Self-emp-not-inc,100722, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,5, United-States, <=50K
+2692,46, Local-gov,377622, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+2693,24, Private,145964, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2694,27, Private,358636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,70, United-States, <=50K
+2695,47, Private,155489, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,55, United-States, >50K
+2696,18, Private,57413, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+2697,48, Private,320421, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+2698,50, Self-emp-not-inc,174752, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2699,40, State-gov,229364, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+2700,56, Self-emp-not-inc,157486, 10th,6, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+2701,34, Private,92682, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K
+2702,56, Federal-gov,101338, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2703,18, Private,132652, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+2704,21, Private,34616, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+2705,40, Private,218903, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+2706,27, Local-gov,204098, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K
+2707,52, Self-emp-not-inc,64045, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,45, United-States, >50K
+2708,46, Private,189763, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+2709,23, Private,26248, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+2710,50, Private,92079, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+2711,19, Private,280071, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,50, United-States, <=50K
+2712,20, Private,224059, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2713,39, Private,185520, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K
+2714,24, Private,265567, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+2715,72, Private,106890, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2716,42, State-gov,39586, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+2717,42, Private,153132, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, ?, <=50K
+2718,51, Private,209912, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K
+2719,39, Private,144169, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+2720,40, Local-gov,50442, Some-college,10, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,2977,0,35, United-States, <=50K
+2721,34, Private,89644, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+2722,19, Private,275889, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Mexico, <=50K
+2723,26, Private,231638, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+2724,45, Local-gov,224474, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,4934,0,50, United-States, >50K
+2725,28, Private,355259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+2726,30, Federal-gov,68330, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+2727,32, Private,185410, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2728,19, Private,87653, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+2729,21, Private,286853, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+2730,54, Private,96710, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female,0,0,20, United-States, <=50K
+2731,62, Private,160143, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K
+2732,25, Private,186925, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2597,0,48, United-States, <=50K
+2733,49, Self-emp-inc,109705, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,32, United-States, <=50K
+2734,32, Private,94235, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+2735,26, Private,225279, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1602,40, ?, <=50K
+2736,37, Local-gov,297449, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+2737,58, Private,205896, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+2738,37, Private,93717, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,45, United-States, >50K
+2739,41, Private,194710, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2740,38, Private,236391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+2741,47, State-gov,189123, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+2742,42, Private,358677, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,35, United-States, <=50K
+2743,30, State-gov,199539, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, <=50K
+2744,43, Private,128170, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+2745,34, Private,231238, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+2746,57, Private,296152, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Female,594,0,10, United-States, <=50K
+2747,46, Private,166003, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+2748,32, Private,281437, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+2749,20, Private,190231, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,11, Nicaragua, <=50K
+2750,47, Private,122026, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2751,55, ?,205527, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K
+2752,53, Self-emp-not-inc,174102, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, Greece, >50K
+2753,43, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+2754,80, Self-emp-not-inc,184335, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+2755,24, Private,211345, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K
+2756,43, Local-gov,147328, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K
+2757,22, Private,222993, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+2758,40, Private,225978, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2759,48, Private,121124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+2760,56, ?,656036, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+2761,34, ?,346762, 11th,7, Divorced, ?, Own-child, White, Male,0,0,84, United-States, <=50K
+2762,51, Private,234057, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+2763,24, Federal-gov,306515, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2764,19, Private,116562, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+2765,34, Private,171159, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+2766,24, Private,199011, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+2767,41, Private,443508, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Canada, >50K
+2768,24, Private,29810, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+2769,22, Local-gov,238831, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+2770,32, Federal-gov,566117, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2771,41, Private,255044, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+2772,20, Private,436253, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+2773,31, Private,300687, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+2774,55, Private,144071, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K
+2775,49, State-gov,133917, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1902,60, ?, >50K
+2776,26, Private,188767, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+2777,27, Self-emp-not-inc,300777, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+2778,35, Private,26987, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2779,40, Private,174395, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,60, Greece, <=50K
+2780,59, Private,90290, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,34, United-States, <=50K
+2781,61, Private,183735, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+2782,31, Private,123273, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+2783,43, Federal-gov,186916, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, >50K
+2784,61, Private,43554, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2339,40, United-States, <=50K
+2785,54, Private,178251, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+2786,30, Private,255885, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+2787,20, Private,64292, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+2788,27, State-gov,194773, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Germany, <=50K
+2789,44, Self-emp-inc,133060, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K
+2790,64, Private,258006, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K
+2791,55, Private,92215, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2792,34, Private,33945, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,6849,0,55, United-States, <=50K
+2793,61, Private,153048, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+2794,28, Private,192200, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+2795,34, Private,355571, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2796,47, Self-emp-inc,139268, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K
+2797,26, Private,34402, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+2798,35, Private,25955, 11th,7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+2799,36, Private,209609, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K
+2800,47, Private,168283, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+2801,17, Private,295488, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,25, United-States, <=50K
+2802,35, Private,190895, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+2803,33, Private,164190, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+2804,25, Private,216010, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+2805,18, Private,387568, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K
+2806,47, State-gov,188386, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+2807,44, Private,174491, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+2808,41, Private,31221, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+2809,30, Private,272451, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2810,53, Self-emp-not-inc,152652, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+2811,53, Private,104413, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+2812,40, Private,105936, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,5013,0,20, United-States, <=50K
+2813,24, Private,379066, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,2205,24, United-States, <=50K
+2814,27, Private,214858, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+2815,50, Private,237735, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,37, Mexico, <=50K
+2816,36, Private,158592, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+2817,41, Private,237321, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K
+2818,41, Private,23646, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2819,31, Private,169240, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2820,32, Federal-gov,454508, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+2821,22, Private,130356, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K
+2822,22, Private,427686, 10th,6, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+2823,18, Local-gov,36411, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K
+2824,39, Private,548510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,30, United-States, <=50K
+2825,38, Private,187264, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, <=50K
+2826,35, State-gov,140752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2827,23, Private,325596, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2828,54, Self-emp-not-inc,175804, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+2829,36, Private,107302, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+2830,63, Local-gov,41161, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+2831,39, Private,401832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+2832,57, Self-emp-not-inc,353808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+2833,58, Self-emp-inc,349910, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+2834,29, Private,161478, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K
+2835,17, Private,400225, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+2836,40, Private,367533, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2837,69, Self-emp-not-inc,69306, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K
+2838,28, Private,270366, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2839,38, Private,103751, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2840,44, Private,75227, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K
+2841,45, Local-gov,132563, Prof-school,15, Divorced, Prof-specialty, Unmarried, Black, Female,0,1726,40, United-States, <=50K
+2842,33, State-gov,79580, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+2843,41, Local-gov,344624, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,40, United-States, >50K
+2844,37, Self-emp-inc,186359, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K
+2845,50, Private,121685, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+2846,48, Private,75104, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+2847,26, ?,188343, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2848,36, Private,246449, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+2849,21, Private,85088, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K
+2850,37, Private,545483, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+2851,20, State-gov,243986, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+2852,54, Self-emp-not-inc,32778, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K
+2853,28, Private,369114, HS-grad,9, Separated, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+2854,27, Private,217200, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2855,33, Private,149220, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2856,46, ?,162034, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+2857,28, ?,157813, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,58, Canada, <=50K
+2858,17, ?,179715, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+2859,40, Self-emp-not-inc,335549, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,45, United-States, >50K
+2860,47, Private,102308, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+2861,44, Private,367749, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K
+2862,25, Private,98281, 12th,8, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,43, United-States, <=50K
+2863,35, Private,115792, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+2864,29, Private,277788, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K
+2865,30, Private,103435, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+2866,30, Private,37646, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+2867,56, Self-emp-not-inc,385632, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+2868,25, Self-emp-not-inc,210278, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K
+2869,28, Private,335357, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+2870,43, Self-emp-not-inc,272165, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2871,47, Local-gov,148995, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+2872,46, Self-emp-not-inc,113434, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2873,41, State-gov,132551, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+2874,38, Federal-gov,115433, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,33, United-States, >50K
+2875,29, Private,227890, HS-grad,9, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, United-States, <=50K
+2876,25, Private,503012, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+2877,56, Private,250873, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+2878,31, Private,407930, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+2879,22, Private,148187, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+2880,31, Private,159322, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+2881,28, Private,334368, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2882,53, Private,196328, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+2883,45, Private,270842, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+2884,71, Private,235079, Preschool,1, Widowed, Craft-repair, Unmarried, Black, Male,0,0,10, United-States, <=50K
+2885,65, ?,327154, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+2886,39, Private,188391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K
+2887,19, Federal-gov,30559, HS-grad,9, Married-AF-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+2888,34, Local-gov,255098, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+2889,36, Private,248010, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+2890,40, Private,174515, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+2891,90, Private,171956, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K
+2892,56, Private,193130, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K
+2893,21, Private,108670, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2894,48, Private,186172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+2895,45, Private,348854, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,27, United-States, <=50K
+2896,46, Private,271828, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+2897,64, Private,148606, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+2898,29, Local-gov,123983, Masters,14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+2899,22, Private,24896, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,30, Germany, <=50K
+2900,47, Private,573583, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Italy, >50K
+2901,67, Self-emp-inc,106175, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,75, United-States, >50K
+2902,43, Private,307767, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+2903,42, Private,200574, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+2904,31, Private,59083, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,50, United-States, <=50K
+2905,53, Private,358056, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+2906,81, Private,114670, 9th,5, Widowed, Priv-house-serv, Not-in-family, Black, Female,2062,0,5, United-States, <=50K
+2907,33, Local-gov,262042, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,1138,40, United-States, <=50K
+2908,17, Private,206010, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K
+2909,55, Self-emp-inc,183869, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K
+2910,28, Private,159001, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+2911,24, Private,155818, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+2912,40, Private,96055, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+2913,30, Local-gov,131776, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2914,24, Private,228613, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+2915,26, Private,198163, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+2916,38, Private,37028, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K
+2917,30, Private,177304, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+2918,33, Private,144064, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+2919,40, Private,146659, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+2920,63, Self-emp-not-inc,26904, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, <=50K
+2921,23, Private,238917, 7th-8th,4, Never-married, Craft-repair, Other-relative, White, Male,0,0,36, United-States, <=50K
+2922,56, Private,170148, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+2923,42, Self-emp-not-inc,27821, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+2924,40, Private,220460, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Canada, <=50K
+2925,49, Private,101320, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,1902,40, United-States, >50K
+2926,35, Private,173858, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+2927,52, Private,91048, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,35, United-States, <=50K
+2928,28, Private,298696, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+2929,35, Private,207202, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K
+2930,21, ?,230397, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K
+2931,43, Self-emp-not-inc,180599, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+2932,32, ?,199046, Assoc-voc,11, Never-married, ?, Unmarried, White, Female,0,0,2, United-States, <=50K
+2933,29, Self-emp-not-inc,132686, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, Italy, >50K
+2934,23, Private,240063, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K
+2935,50, Local-gov,177705, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,48, United-States, <=50K
+2936,34, Private,511361, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+2937,19, Private,89397, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+2938,47, Private,239439, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K
+2939,37, Self-emp-not-inc,36989, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+2940,25, Private,76978, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K
+2941,75, Private,200068, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+2942,24, Private,454941, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+2943,28, State-gov,107218, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+2944,17, Local-gov,182070, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+2945,31, Private,176360, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+2946,31, Private,452405, Preschool,1, Never-married, Other-service, Other-relative, White, Female,0,0,35, Mexico, <=50K
+2947,18, ?,297396, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K
+2948,45, Private,84790, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+2949,31, Private,186787, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,42, United-States, <=50K
+2950,27, Private,169662, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+2951,48, Private,125933, Some-college,10, Widowed, Exec-managerial, Unmarried, Black, Female,0,1669,38, United-States, <=50K
+2952,22, ?,35448, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,22, United-States, <=50K
+2953,34, Private,225548, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, United-States, <=50K
+2954,26, Private,240842, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2955,53, Private,103931, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+2956,60, Private,232618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+2957,49, Local-gov,288548, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+2958,40, Private,220609, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2959,48, Self-emp-inc,26145, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+2960,23, Private,268525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+2961,68, ?,133758, 7th-8th,4, Widowed, ?, Not-in-family, Black, Male,0,0,10, United-States, <=50K
+2962,42, Private,121264, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+2963,37, Self-emp-not-inc,29814, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K
+2964,27, Private,193701, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,45, United-States, <=50K
+2965,38, Private,183279, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+2966,27, Private,163942, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Ireland, <=50K
+2967,75, Private,188612, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+2968,49, Self-emp-inc,102771, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+2969,27, Private,85625, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+2970,36, Self-emp-not-inc,245090, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K
+2971,36, Private,131239, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,45, United-States, >50K
+2972,35, Private,182074, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+2973,36, Private,187046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+2974,53, Private,90624, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+2975,27, Private,37933, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+2976,34, Private,182177, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,35, United-States, <=50K
+2977,61, Private,716416, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K
+2978,29, Private,190562, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,56, United-States, <=50K
+2979,40, State-gov,141583, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+2980,37, Private,98941, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+2981,22, Private,201729, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K
+2982,43, Self-emp-inc,175485, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+2983,55, Self-emp-not-inc,149168, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+2984,28, Private,115971, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+2985,23, Private,161708, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+2986,64, Local-gov,244903, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+2987,46, Private,155664, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2988,29, Private,112754, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+2989,44, Private,178385, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,48, India, <=50K
+2990,20, Private,44064, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K
+2991,62, Self-emp-not-inc,120939, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+2992,49, Private,165134, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,35, Columbia, <=50K
+2993,29, Private,100405, 10th,6, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+2994,35, Self-emp-not-inc,361888, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Japan, <=50K
+2995,39, Local-gov,167864, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+2996,39, Private,202950, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+2997,37, Private,218188, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,32, United-States, <=50K
+2998,38, Private,234962, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829,0,30, Mexico, <=50K
+2999,72, ?,177226, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+3000,31, Private,259931, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3001,55, Private,189528, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+3002,38, Private,34996, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+3003,33, Private,112584, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+3004,25, Private,117589, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3005,19, ?,145234, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+3006,37, Private,267086, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,52, United-States, <=50K
+3007,49, Private,44434, Some-college,10, Divorced, Tech-support, Other-relative, White, Male,0,0,35, United-States, <=50K
+3008,26, Private,96130, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+3009,35, Private,181382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+3010,44, Self-emp-inc,168845, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K
+3011,37, Private,271767, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+3012,42, Private,194636, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+3013,64, State-gov,194894, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K
+3014,28, Private,132686, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+3015,35, Self-emp-not-inc,185848, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,4650,0,50, United-States, <=50K
+3016,40, State-gov,184378, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3017,55, Federal-gov,270859, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+3018,21, Private,231866, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K
+3019,49, Private,36032, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+3020,51, State-gov,172962, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+3021,57, Private,98350, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1902,40, Philippines, >50K
+3022,51, Private,24185, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3023,38, Private,53930, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K
+3024,24, Private,85088, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1762,32, United-States, <=50K
+3025,45, Self-emp-not-inc,94962, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K
+3026,28, Private,480861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+3027,42, Self-emp-inc,187702, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K
+3028,22, Private,52262, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3029,28, State-gov,52636, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3030,60, Private,175273, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+3031,31, Private,327825, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,2238,40, United-States, <=50K
+3032,47, Private,125892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, >50K
+3033,40, ?,78255, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K
+3034,30, Private,398827, HS-grad,9, Married-AF-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K
+3035,61, Private,208919, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+3036,71, Local-gov,365996, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,6, United-States, <=50K
+3037,42, Private,307638, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3038,44, Local-gov,33068, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+3039,46, Self-emp-not-inc,254291, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+3040,50, Local-gov,125417, Prof-school,15, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,52, United-States, >50K
+3041,27, State-gov,28848, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,9, United-States, <=50K
+3042,40, ?,273425, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+3043,21, Private,194723, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, Mexico, <=50K
+3044,25, Private,195118, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,35, United-States, <=50K
+3045,61, Private,123273, 5th-6th,3, Divorced, Transport-moving, Not-in-family, White, Male,0,1876,56, United-States, <=50K
+3046,54, Private,220115, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+3047,31, Private,265706, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3048,53, Self-emp-not-inc,279129, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+3049,39, Self-emp-inc,122742, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+3050,57, Self-emp-inc,172654, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,50, United-States, >50K
+3051,48, Private,119199, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K
+3052,30, Private,107793, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, >50K
+3053,35, Private,237943, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+3054,42, Self-emp-not-inc,64632, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+3055,34, Self-emp-not-inc,96245, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3056,59, Private,361494, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+3057,69, Local-gov,122850, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+3058,29, Private,173652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3059,40, Private,164663, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3060,21, Private,98678, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+3061,40, Private,245529, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3062,43, Private,55294, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3063,36, Private,140583, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3064,41, Private,79797, HS-grad,9, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, >50K
+3065,72, ?,113044, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+3066,20, Private,283499, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+3067,41, Local-gov,51111, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3068,34, Private,232475, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3069,48, Private,176140, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3070,27, Private,301654, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+3071,35, Private,376455, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+3072,28, ?,192569, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+3073,27, Private,229803, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+3074,20, Private,337639, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+3075,18, Private,130849, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+3076,32, Private,296282, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3077,38, Private,266645, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+3078,23, State-gov,110128, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+3079,28, Private,90196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+3080,40, State-gov,40024, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+3081,35, Private,144322, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+3082,74, Self-emp-inc,162340, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+3083,28, Private,169069, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+3084,23, Private,113601, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+3085,20, Self-emp-not-inc,157145, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,2258,10, United-States, <=50K
+3086,44, Private,111275, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,56, United-States, <=50K
+3087,46, Local-gov,102076, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K
+3088,20, ?,182117, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+3089,51, Self-emp-not-inc,145409, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+3090,40, Private,190122, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3091,48, Private,331482, Prof-school,15, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K
+3092,60, Self-emp-not-inc,170114, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,84, United-States, <=50K
+3093,48, Self-emp-inc,193188, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3094,46, Local-gov,267588, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, <=50K
+3095,48, Self-emp-inc,200471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3096,22, ?,175586, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K
+3097,24, Local-gov,322658, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3098,45, State-gov,263982, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+3099,18, Private,266287, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+3100,39, Private,278187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3101,65, Self-emp-inc,81413, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,65, United-States, <=50K
+3102,22, Private,221745, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+3103,20, Private,140764, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+3104,28, Private,206351, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3105,46, Private,176814, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+3106,42, Local-gov,245307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K
+3107,61, State-gov,124971, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+3108,28, Private,119545, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,7688,0,50, United-States, >50K
+3109,18, Private,179203, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+3110,24, Federal-gov,44075, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+3111,45, Private,178319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K
+3112,24, Private,219754, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+3113,44, Private,198316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+3114,20, Private,168165, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+3115,35, Private,356838, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,2829,0,55, Poland, <=50K
+3116,52, Self-emp-inc,210736, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+3117,25, Private,173212, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,2354,0,45, United-States, <=50K
+3118,19, Private,130431, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K
+3119,35, ?,169809, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+3120,54, Private,197481, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3121,21, Private,155066, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+3122,26, Private,31290, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+3123,42, Private,54102, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3124,19, Private,181546, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3125,55, Private,153484, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+3126,44, State-gov,351228, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3127,25, Private,131976, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K
+3128,26, Private,200639, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3129,64, Federal-gov,267546, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+3130,41, Private,179875, 11th,7, Divorced, Other-service, Unmarried, Other, Female,0,0,40, United-States, <=50K
+3131,25, ?,237865, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, ?, <=50K
+3132,43, Private,300528, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3133,45, Private,67716, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,10520,0,48, United-States, >50K
+3134,48, Federal-gov,326048, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+3135,60, Private,191188, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3136,45, Self-emp-not-inc,32172, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3137,51, Private,252903, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K
+3138,37, Federal-gov,334314, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3139,22, Private,83704, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+3140,44, Private,160574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K
+3141,27, Private,203776, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+3142,47, Local-gov,328610, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3143,32, Private,295589, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K
+3144,40, Private,174373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3145,41, Private,247752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3146,32, ?,199244, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3147,26, Private,139992, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3148,47, Private,95680, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+3149,55, Self-emp-inc,189933, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+3150,38, Private,498785, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+3151,24, State-gov,177526, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K
+3152,64, Self-emp-not-inc,150121, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, >50K
+3153,56, Federal-gov,130454, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+3154,41, Private,119079, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,49, United-States, >50K
+3155,33, Private,220939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K
+3156,33, Private,94235, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,42, United-States, >50K
+3157,21, Private,305874, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+3158,59, Local-gov,62020, HS-grad,9, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+3159,58, Private,235624, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Germany, >50K
+3160,43, Local-gov,247514, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+3161,21, Private,275726, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+3162,45, Private,72896, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3163,53, Local-gov,110510, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+3164,41, Private,173938, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, ?, >50K
+3165,27, Private,200641, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Mexico, <=50K
+3166,53, Private,211654, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, >50K
+3167,38, Private,242720, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+3168,31, Private,111567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+3169,41, Private,179533, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+3170,22, State-gov,334693, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3171,43, Self-emp-not-inc,198096, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+3172,41, State-gov,355756, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3173,27, Private,19395, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,35, United-States, <=50K
+3174,41, Local-gov,242586, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3175,36, Private,208358, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K
+3176,49, Private,160647, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+3177,20, Private,227943, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+3178,58, Self-emp-not-inc,197665, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+3179,35, Self-emp-not-inc,216129, 12th,8, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Trinadad&Tobago, <=50K
+3180,30, Local-gov,326104, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+3181,21, Private,57211, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+3182,29, Private,100219, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K
+3183,40, Private,291192, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3184,54, State-gov,93415, Bachelors,13, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, >50K
+3185,35, Private,191502, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+3186,35, Private,261382, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+3187,40, Private,170230, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K
+3188,59, Private,374924, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3189,43, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+3190,39, Private,338320, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+3191,51, Private,135190, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+3192,71, Private,157909, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,2964,0,60, United-States, <=50K
+3193,33, Private,637222, 12th,8, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3194,28, Private,430084, HS-grad,9, Divorced, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K
+3195,30, Private,125279, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+3196,20, Private,221955, 5th-6th,3, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K
+3197,51, Self-emp-inc,180195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+3198,39, Private,208778, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K
+3199,62, Private,81534, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+3200,37, Private,325538, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, ?, <=50K
+3201,28, Private,142264, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, Dominican-Republic, <=50K
+3202,23, Private,128604, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,48, South, <=50K
+3203,39, Private,277886, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K
+3204,50, Self-emp-inc,100029, Bachelors,13, Widowed, Sales, Unmarried, White, Male,0,0,65, United-States, >50K
+3205,31, Private,169269, 7th-8th,4, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+3206,45, Local-gov,160472, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+3207,23, ?,123983, Bachelors,13, Never-married, ?, Own-child, Other, Male,0,0,40, United-States, <=50K
+3208,47, Private,297884, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3209,59, Private,99131, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,18, United-States, <=50K
+3210,32, Private,44392, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+3211,82, ?,29441, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K
+3212,49, Private,199029, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,55, United-States, >50K
+3213,74, Federal-gov,181508, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,17, United-States, <=50K
+3214,22, Private,190625, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+3215,32, Private,194740, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, Greece, <=50K
+3216,34, Private,27380, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+3217,59, Private,160631, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+3218,36, Private,224531, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+3219,59, Private,283005, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3220,47, Self-emp-inc,101926, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K
+3221,53, Local-gov,135102, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,2002,45, United-States, <=50K
+3222,25, Self-emp-not-inc,113436, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+3223,44, Private,248973, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,65, United-States, <=50K
+3224,57, Self-emp-not-inc,225334, Prof-school,15, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K
+3225,42, Self-emp-not-inc,157562, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,80, United-States, >50K
+3226,58, Local-gov,310085, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3227,39, Private,129597, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, United-States, <=50K
+3228,32, ?,53042, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+3229,45, Private,204205, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K
+3230,47, Private,169324, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,35, United-States, >50K
+3231,52, ?,134447, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+3232,56, Self-emp-not-inc,236731, 1st-4th,2, Separated, Exec-managerial, Not-in-family, White, Male,0,0,25, ?, <=50K
+3233,52, Private,141301, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3234,34, Private,235124, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+3235,36, Self-emp-not-inc,367020, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+3236,41, Private,149102, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K
+3237,30, Private,423770, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, Mexico, <=50K
+3238,44, Private,211759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K
+3239,17, ?,110998, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+3240,34, Private,56883, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+3241,41, Private,223062, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+3242,29, Private,406662, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3243,25, Private,206600, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,48, Mexico, <=50K
+3244,42, Local-gov,147510, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+3245,48, Private,235646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K
+3246,26, Private,187577, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+3247,64, Self-emp-inc,132832, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051,0,40, ?, >50K
+3248,46, Self-emp-inc,278322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+3249,38, Private,278924, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+3250,49, State-gov,203039, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3251,23, Private,145651, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+3252,46, Local-gov,144531, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+3253,30, Private,91145, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,55, United-States, <=50K
+3254,49, Self-emp-not-inc,211762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3255,47, ?,111563, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3256,44, Private,180985, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K
+3257,31, Private,207537, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,1669,50, United-States, <=50K
+3258,19, Private,417657, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+3259,45, Private,189890, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,38, United-States, <=50K
+3260,34, Private,223212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, Peru, >50K
+3261,26, Private,108658, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3262,38, Self-emp-not-inc,190023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+3263,31, Private,222130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+3264,36, Self-emp-inc,164866, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3265,31, Private,170983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+3266,30, Private,186269, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+3267,37, Private,286026, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+3268,30, Private,403433, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K
+3269,21, ?,224209, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,30, United-States, <=50K
+3270,73, Private,123160, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K
+3271,38, Federal-gov,99527, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3272,30, Private,123178, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3273,33, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+3274,52, Local-gov,317733, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+3275,58, Private,241056, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K
+3276,34, Local-gov,220066, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+3277,35, Private,180342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3278,59, Federal-gov,31840, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3279,45, Private,183168, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+3280,27, Private,386036, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K
+3281,31, Local-gov,446358, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, Mexico, >50K
+3282,45, Private,28035, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K
+3283,40, Private,282155, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K
+3284,27, Private,192384, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3285,19, Private,383637, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+3286,29, Private,457402, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K
+3287,34, Self-emp-inc,80249, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+3288,32, State-gov,159537, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3289,49, Private,240859, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K
+3290,33, Private,83446, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+3291,74, ?,29866, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K
+3292,62, Private,185503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+3293,39, Self-emp-not-inc,68781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3294,43, Private,220589, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+3295,22, Private,51136, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K
+3296,24, Private,54560, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+3297,76, ?,28221, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Canada, >50K
+3298,25, Private,201413, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3299,19, Private,40425, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,28, United-States, <=50K
+3300,31, Private,189461, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,41, United-States, <=50K
+3301,53, Private,200576, 11th,7, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K
+3302,61, Private,92691, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,3, United-States, <=50K
+3303,47, Private,664821, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K
+3304,37, Private,175130, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+3305,50, Self-emp-not-inc,391016, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K
+3306,27, Private,249315, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K
+3307,58, Private,111169, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3308,43, Private,334946, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+3309,39, Private,352248, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3310,36, Private,173804, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3311,56, Private,155449, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+3312,26, Private,73689, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+3313,23, Private,227594, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K
+3314,47, Private,161676, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+3315,68, Private,75913, 12th,8, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+3316,47, Local-gov,242552, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+3317,45, Federal-gov,352094, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, Guatemala, >50K
+3318,26, Private,159732, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+3319,20, Private,131230, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,1590,40, United-States, <=50K
+3320,46, Private,180695, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3321,37, Private,189922, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+3322,37, Private,409189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+3323,43, Private,111252, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K
+3324,59, Private,294395, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3325,39, Private,172718, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3326,32, Private,43403, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Female,0,1590,54, United-States, <=50K
+3327,63, Private,111963, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K
+3328,45, Private,247869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+3329,59, Private,114032, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3330,36, ?,356838, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K
+3331,26, Private,179633, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K
+3332,34, Private,19847, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3333,41, Private,231689, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3334,26, Private,209942, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+3335,53, Private,197492, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3336,33, Private,262439, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+3337,46, Private,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3338,79, ?,144533, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+3339,31, Private,83446, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+3340,24, Private,215443, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3341,57, Local-gov,268252, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,62, United-States, <=50K
+3342,40, Private,181015, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,47, United-States, <=50K
+3343,41, Self-emp-inc,139916, Assoc-voc,11, Married-civ-spouse, Sales, Husband, Other, Male,0,2179,84, Mexico, <=50K
+3344,20, Private,195770, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,26, United-States, <=50K
+3345,45, Private,125194, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+3346,27, Private,58654, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3347,36, Private,252327, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+3348,30, Private,116508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K
+3349,36, Private,166988, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+3350,25, Private,374163, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male,0,0,40, Mexico, <=50K
+3351,30, ?,96851, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1719,25, United-States, <=50K
+3352,31, Private,196788, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+3353,49, Private,186172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K
+3354,26, Private,245628, 11th,7, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,20, United-States, <=50K
+3355,25, Private,159732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3356,29, Private,129856, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3357,24, Private,182812, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,3325,0,52, Dominican-Republic, <=50K
+3358,41, Private,314322, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+3359,35, Private,102976, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+3360,57, Self-emp-inc,42959, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+3361,21, Private,256356, 11th,7, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, Mexico, <=50K
+3362,29, Private,136277, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K
+3363,36, Private,284616, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3364,20, Private,185554, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+3365,51, Private,138847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3366,39, Private,33487, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3367,36, Private,84306, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,50, United-States, <=50K
+3368,40, Self-emp-not-inc,223881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K
+3369,61, Private,149653, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+3370,38, Private,348739, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+3371,20, ?,235442, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+3372,21, Private,34506, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+3373,40, Private,346964, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+3374,46, Private,192208, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+3375,21, Private,305874, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K
+3376,35, Self-emp-not-inc,462890, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K
+3377,39, Private,89508, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3378,38, Self-emp-not-inc,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+3379,30, Private,179446, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3380,28, Private,208965, 9th,5, Never-married, Machine-op-inspct, Unmarried, Other, Male,0,0,40, Mexico, <=50K
+3381,32, Private,40142, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3382,46, Self-emp-not-inc,57452, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3383,40, Private,327573, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3384,47, Private,151267, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,15024,0,40, United-States, >50K
+3385,44, Private,265266, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3386,38, Private,203836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, Columbia, <=50K
+3387,51, ?,163998, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,20, United-States, >50K
+3388,46, Self-emp-not-inc,28281, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+3389,51, Private,293196, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, Iran, >50K
+3390,45, Private,214627, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Male,15020,0,40, Iran, >50K
+3391,20, Private,368852, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+3392,44, Private,353396, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+3393,33, Private,161745, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+3394,18, Private,97963, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+3395,61, Self-emp-inc,156542, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+3396,50, State-gov,198103, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3397,47, Federal-gov,55377, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+3398,34, Private,173730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3399,53, Private,374588, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K
+3400,39, Self-emp-not-inc,174330, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3401,58, Private,78141, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3402,66, ?,190324, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,18, United-States, <=50K
+3403,26, Private,31350, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3404,41, Private,243607, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K
+3405,47, Local-gov,134671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3406,31, Private,197023, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+3407,52, Private,117674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3408,29, Private,169815, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+3409,43, Private,598606, 9th,5, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,50, United-States, <=50K
+3410,42, Federal-gov,122861, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3411,35, Private,166235, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+3412,41, Private,187821, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K
+3413,34, Private,340940, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K
+3414,52, Self-emp-not-inc,194791, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3415,61, Private,231323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3416,39, Local-gov,305597, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+3417,19, Private,25429, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+3418,46, State-gov,192779, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+3419,39, Private,346478, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+3420,22, Private,341368, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3421,30, State-gov,295612, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3422,40, Private,168936, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+3423,43, Private,218558, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+3424,37, Private,336598, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, Mexico, <=50K
+3425,23, Private,308205, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+3426,39, Local-gov,357173, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,59, United-States, <=50K
+3427,54, Private,457237, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3428,46, Self-emp-inc,284799, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+3429,20, Private,179423, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K
+3430,50, Self-emp-not-inc,363405, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,50, United-States, >50K
+3431,17, Private,139183, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+3432,36, Private,203482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3433,37, Private,112554, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+3434,53, Private,99476, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+3435,50, Private,93690, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+3436,38, Private,220585, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3437,63, Self-emp-not-inc,194638, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K
+3438,53, Private,154785, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+3439,40, ?,162108, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K
+3440,23, Self-emp-inc,214542, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3441,20, Private,161922, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K
+3442,46, Private,207940, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+3443,28, Private,259351, 10th,6, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K
+3444,59, Private,208395, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3445,41, Private,116391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3446,33, Private,239781, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+3447,56, Private,174351, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K
+3448,50, Self-emp-not-inc,44368, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, El-Salvador, >50K
+3449,31, Local-gov,188798, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+3450,41, Private,50122, Assoc-voc,11, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+3451,38, Private,111398, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K
+3452,25, State-gov,152035, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3453,18, ?,139003, HS-grad,9, Never-married, ?, Other-relative, Other, Female,0,0,12, United-States, <=50K
+3454,49, Local-gov,249289, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3455,39, Private,257726, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+3456,22, ?,113175, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+3457,21, Private,151158, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K
+3458,35, Private,465326, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3459,21, ?,356772, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+3460,38, Private,364782, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3461,55, Private,198385, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,20, ?, <=50K
+3462,31, Private,329301, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+3463,17, Self-emp-inc,254859, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+3464,31, Private,203488, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K
+3465,25, Local-gov,222800, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3466,39, Private,96452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+3467,50, Private,170050, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3468,38, Local-gov,116580, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+3469,50, Private,400004, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+3470,63, Private,183608, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3471,31, Private,194055, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+3472,23, Private,210443, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+3473,18, Private,43272, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+3474,43, Local-gov,108945, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, <=50K
+3475,34, Private,114691, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3476,18, Private,304169, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+3477,46, Private,503923, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386,0,40, United-States, >50K
+3478,35, Private,340428, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, >50K
+3479,46, State-gov,106705, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+3480,59, Private,146391, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K
+3481,31, Private,235389, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, Portugal, <=50K
+3482,27, Private,39665, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K
+3483,41, Private,113823, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, <=50K
+3484,42, Private,217826, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, ?, <=50K
+3485,55, Private,349304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3486,34, ?,197688, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+3487,44, Private,54507, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3488,26, Private,117833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1669,50, United-States, <=50K
+3489,36, Private,163396, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+3490,69, Private,88566, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,1424,0,35, United-States, <=50K
+3491,33, Private,323619, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3492,30, Private,75755, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+3493,35, Private,148903, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,16, United-States, >50K
+3494,25, Private,40915, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+3495,21, Private,182606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, ?, <=50K
+3496,18, Private,131033, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,15, United-States, <=50K
+3497,35, Self-emp-not-inc,168475, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+3498,20, Private,121568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+3499,26, Private,139098, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K
+3500,46, Private,357338, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+3501,31, Private,283268, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K
+3502,40, Private,572751, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, Mexico, >50K
+3503,40, Private,315321, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,625,52, United-States, <=50K
+3504,31, Private,120461, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3505,32, Self-emp-not-inc,65278, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3506,23, Self-emp-not-inc,208503, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+3507,25, Local-gov,112835, Masters,14, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3508,37, Private,265038, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+3509,18, Private,89478, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+3510,55, Private,276229, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+3511,52, Private,366232, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Cuba, <=50K
+3512,26, Private,152035, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3513,37, Private,205339, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K
+3514,39, Private,75995, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+3515,62, Self-emp-not-inc,192236, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+3516,19, ?,188618, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+3517,47, Private,229737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+3518,51, Local-gov,199688, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+3519,55, Private,52953, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+3520,30, Private,221043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+3521,59, Federal-gov,115389, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+3522,45, Self-emp-not-inc,204205, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+3523,52, Private,338816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+3524,21, Private,197387, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+3525,31, Private,42485, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K
+3526,29, Private,367706, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+3527,24, Private,102493, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+3528,17, Private,263746, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+3529,47, Private,115358, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+3530,46, Private,189680, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+3531,32, ?,282622, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,28, United-States, <=50K
+3532,34, Private,127651, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,44, ?, <=50K
+3533,63, Private,230823, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K
+3534,21, Private,300812, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+3535,18, Private,174732, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,36, United-States, <=50K
+3536,49, State-gov,183710, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3537,81, Self-emp-not-inc,137018, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+3538,36, Self-emp-inc,213008, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3539,47, Private,357848, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3540,36, Private,165799, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+3541,39, Self-emp-not-inc,188571, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+3542,46, Private,97883, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3543,43, Local-gov,105862, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K
+3544,39, Local-gov,57424, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+3545,29, Private,151476, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3546,23, Private,129583, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,16, United-States, <=50K
+3547,57, Private,180920, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+3548,38, Self-emp-not-inc,182416, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,42, United-States, <=50K
+3549,25, Private,251915, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+3550,39, Local-gov,187127, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3551,24, Private,69045, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K
+3552,56, Private,192869, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,44, United-States, >50K
+3553,39, Private,74163, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3554,23, Private,60847, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K
+3555,17, ?,213055, 11th,7, Never-married, ?, Not-in-family, Other, Female,0,0,20, United-States, <=50K
+3556,67, Self-emp-not-inc,116057, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,3273,0,16, United-States, <=50K
+3557,41, Private,82393, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K
+3558,24, Local-gov,134181, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K
+3559,51, Private,159910, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,10520,0,40, United-States, >50K
+3560,30, Self-emp-inc,117570, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K
+3561,47, Self-emp-inc,214169, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,40, United-States, >50K
+3562,56, Private,56331, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,32, United-States, <=50K
+3563,51, Private,35576, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+3564,57, Self-emp-not-inc,149168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+3565,34, Private,157165, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+3566,24, Private,278130, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3567,57, Private,257200, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3568,38, Private,283122, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+3569,23, Private,580248, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3570,35, Private,230054, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+3571,58, Private,519006, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K
+3572,19, ?,37332, HS-grad,9, Never-married, ?, Own-child, White, Female,1055,0,12, United-States, <=50K
+3573,19, ?,365871, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+3574,68, State-gov,235882, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,60, United-States, >50K
+3575,43, Private,336513, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+3576,17, Private,115551, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+3577,53, State-gov,50048, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+3578,37, Self-emp-inc,382802, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,99, United-States, >50K
+3579,21, ?,180303, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,25, ?, <=50K
+3580,63, Private,106023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3581,31, Private,332379, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K
+3582,29, Private,95465, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+3583,43, Local-gov,96102, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K
+3584,27, Private,36440, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K
+3585,25, Self-emp-not-inc,209384, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,32, United-States, <=50K
+3586,28, Private,50814, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3587,54, Private,143865, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+3588,74, ?,104661, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K
+3589,31, Local-gov,50442, Some-college,10, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K
+3590,23, Private,236601, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,48, United-States, <=50K
+3591,19, Private,100999, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K
+3592,39, ?,362685, Preschool,1, Widowed, ?, Not-in-family, White, Female,0,0,20, El-Salvador, <=50K
+3593,61, Self-emp-not-inc,32423, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,22040,0,40, United-States, <=50K
+3594,59, ?,154236, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,7688,0,40, United-States, >50K
+3595,27, Self-emp-inc,153546, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, United-States, >50K
+3596,19, Private,182355, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+3597,23, ?,191444, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+3598,25, Local-gov,44216, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K
+3599,40, Private,97688, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K
+3600,53, Private,209022, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K
+3601,32, Private,96016, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+3602,72, Self-emp-not-inc,52138, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2392,25, United-States, >50K
+3603,61, Private,159046, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3604,42, Private,138634, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3605,17, Private,130125, 10th,6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,1055,0,20, United-States, <=50K
+3606,73, Private,247355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, Canada, <=50K
+3607,41, Self-emp-not-inc,227065, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3608,23, Private,244771, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,20, Jamaica, <=50K
+3609,23, Private,215616, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K
+3610,65, Private,386672, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K
+3611,45, Self-emp-inc,177543, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+3612,52, Federal-gov,617021, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,7688,0,40, United-States, >50K
+3613,24, Local-gov,117109, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,27, United-States, <=50K
+3614,23, Private,373550, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3615,30, Private,19847, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+3616,26, Private,189590, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3617,37, Self-emp-not-inc,58343, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,56, United-States, <=50K
+3618,17, Private,354201, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+3619,31, Private,119422, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+3620,52, Private,363405, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+3621,63, Private,181863, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,27, United-States, <=50K
+3622,27, Private,194472, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K
+3623,31, Private,247328, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, Mexico, <=50K
+3624,71, Self-emp-not-inc,130731, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3625,35, Private,236910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+3626,44, Private,378251, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K
+3627,36, Private,120760, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+3628,22, Private,203182, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,20, United-States, <=50K
+3629,32, Private,130304, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,48, United-States, <=50K
+3630,30, Local-gov,352542, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+3631,60, ?,191024, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+3632,25, Private,197728, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3633,76, Private,316185, 7th-8th,4, Widowed, Protective-serv, Not-in-family, White, Female,0,0,12, United-States, <=50K
+3634,41, Private,89226, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3635,26, Private,292353, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, United-States, <=50K
+3636,45, Private,304570, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+3637,32, Private,180296, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3638,22, Private,361487, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3639,39, Private,218490, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K
+3640,63, Self-emp-not-inc,231777, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3641,23, Private,189832, Assoc-acdm,12, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K
+3642,61, Private,232308, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3643,31, State-gov,33308, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3644,25, Private,333677, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+3645,33, Private,170651, HS-grad,9, Never-married, Other-service, Own-child, White, Female,1055,0,40, United-States, <=50K
+3646,39, Private,343403, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K
+3647,53, Private,166386, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K
+3648,26, Federal-gov,48099, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3649,21, Private,143062, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K
+3650,18, Private,104704, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+3651,34, Private,30497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+3652,44, State-gov,174325, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,40, United-States, >50K
+3653,31, Private,286675, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+3654,44, Private,59474, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+3655,42, Private,378384, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K
+3656,43, Private,245842, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, Mexico, <=50K
+3657,33, Private,274222, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7688,0,38, United-States, >50K
+3658,21, Private,342575, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K
+3659,30, Private,206051, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+3660,55, Private,234213, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+3661,57, Private,145189, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3662,37, Private,233490, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3663,32, Private,344129, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+3664,62, Self-emp-not-inc,171315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+3665,31, Self-emp-not-inc,181485, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, >50K
+3666,51, Private,255412, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, >50K
+3667,37, Private,262409, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,213,45, United-States, <=50K
+3668,45, Private,199590, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, Mexico, <=50K
+3669,47, Private,84726, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3670,31, ?,226883, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,75, United-States, <=50K
+3671,75, Self-emp-not-inc,184335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+3672,43, Private,102025, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, United-States, <=50K
+3673,39, Private,183898, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,60, Germany, >50K
+3674,30, Private,55291, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+3675,27, Private,150025, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, <=50K
+3676,44, Private,100584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+3677,53, Local-gov,181755, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, >50K
+3678,40, Private,150528, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3679,18, Private,107277, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+3680,33, Private,247205, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, England, <=50K
+3681,20, Private,291979, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+3682,38, Private,270985, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K
+3683,48, Private,62605, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3684,46, Self-emp-not-inc,176863, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3685,51, Private,53197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3686,35, Self-emp-not-inc,267776, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K
+3687,24, Private,308205, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+3688,30, Private,306383, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+3689,70, Private,35494, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+3690,26, Private,291968, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K
+3691,34, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K
+3692,46, Private,271828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3693,70, Private,121993, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,5, United-States, <=50K
+3694,37, Local-gov,31023, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+3695,36, Self-emp-not-inc,36425, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+3696,23, Private,407684, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K
+3697,28, Private,241895, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1628,40, United-States, <=50K
+3698,44, Self-emp-not-inc,158555, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3699,58, Private,140363, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,30, United-States, <=50K
+3700,53, Private,123429, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+3701,23, Private,40060, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+3702,26, Private,290286, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+3703,21, ?,249271, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+3704,34, Local-gov,106169, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+3705,43, Private,76487, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3706,22, Private,437994, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K
+3707,41, Private,113555, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7298,0,50, United-States, >50K
+3708,36, Private,160120, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+3709,41, Local-gov,343079, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1740,20, United-States, <=50K
+3710,27, Private,406662, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,4416,0,40, United-States, <=50K
+3711,42, Self-emp-not-inc,37618, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+3712,27, Private,114158, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+3713,41, Private,115562, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+3714,32, Private,353994, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, >50K
+3715,21, Private,344891, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+3716,44, Private,286750, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K
+3717,29, Private,194197, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+3718,19, Self-emp-not-inc,206599, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,22, United-States, <=50K
+3719,21, Local-gov,596776, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Guatemala, <=50K
+3720,46, Private,56841, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+3721,38, Private,112561, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+3722,43, Private,147110, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,48, United-States, >50K
+3723,54, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+3724,38, Private,234901, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K
+3725,18, ?,298133, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+3726,50, Private,217083, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+3727,30, Private,97757, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K
+3728,30, Private,151868, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3729,28, Local-gov,25864, HS-grad,9, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K
+3730,26, Private,109419, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+3731,37, Federal-gov,203070, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+3732,32, Private,107843, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,50, United-States, >50K
+3733,64, State-gov,264544, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, >50K
+3734,18, Private,148644, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K
+3735,30, Private,125762, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K
+3736,36, ?,53606, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,3908,0,8, United-States, <=50K
+3737,18, Private,193741, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,30, United-States, <=50K
+3738,27, Private,588905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3739,49, Private,115613, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+3740,46, State-gov,222374, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, United-States, >50K
+3741,37, Private,185359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3742,30, Private,173647, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3743,29, Private,31166, HS-grad,9, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,30, Germany, <=50K
+3744,22, ?,517995, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Mexico, <=50K
+3745,25, Self-emp-not-inc,189027, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+3746,38, Private,296125, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K
+3747,32, ?,640383, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+3748,35, Private,334291, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+3749,56, Private,318450, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, >50K
+3750,29, Private,174163, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3751,41, Private,119721, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+3752,47, Private,142719, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3753,23, Private,162593, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+3754,46, Self-emp-not-inc,236852, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+3755,28, Local-gov,154863, HS-grad,9, Never-married, Protective-serv, Other-relative, Black, Male,0,1876,40, United-States, <=50K
+3756,39, Private,168894, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+3757,42, Self-emp-not-inc,344920, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K
+3758,39, Private,33355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,48, United-States, >50K
+3759,68, ?,196782, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+3760,37, Self-emp-inc,291518, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,55, United-States, >50K
+3761,57, Private,170244, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3762,22, Private,369549, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+3763,24, Private,23438, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, >50K
+3764,19, Private,202673, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+3765,55, Private,171780, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K
+3766,37, Local-gov,264503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+3767,37, Local-gov,244341, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3768,28, Private,209109, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+3769,27, Private,187392, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3770,40, State-gov,119578, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K
+3771,51, Private,195105, HS-grad,9, Divorced, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+3772,52, Private,101752, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K
+3773,74, ?,95825, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K
+3774,49, Self-emp-inc,362654, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+3775,20, ?,29810, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+3776,40, Federal-gov,77332, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+3777,80, Private,87518, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1816,60, United-States, <=50K
+3778,63, Private,113324, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+3779,63, Private,96299, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,45, United-States, >50K
+3780,51, Private,237729, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+3781,23, Private,200973, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3782,66, Self-emp-not-inc,212456, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K
+3783,33, Self-emp-not-inc,131568, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,66, United-States, <=50K
+3784,49, Private,185859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+3785,20, Private,231981, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K
+3786,33, Self-emp-inc,117963, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K
+3787,26, Private,78172, Some-college,10, Married-AF-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+3788,52, Private,164135, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3789,33, Private,171216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3790,47, Private,140664, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+3791,23, Private,249277, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,75, United-States, <=50K
+3792,53, Federal-gov,117847, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3793,19, Private,52372, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+3794,26, Federal-gov,95806, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+3795,53, Private,137428, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+3796,65, Private,169047, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K
+3797,68, Private,339168, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+3798,30, Private,504725, 10th,6, Never-married, Sales, Other-relative, White, Male,0,0,18, Guatemala, <=50K
+3799,28, Private,132870, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+3800,54, Local-gov,135840, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K
+3801,30, Private,35644, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+3802,22, Private,198148, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K
+3803,25, Private,220098, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+3804,19, Private,262515, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K
+3805,19, ?,423863, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+3806,32, Federal-gov,111567, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+3807,23, Private,194096, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+3808,51, Local-gov,420917, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+3809,25, Private,197871, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K
+3810,46, Local-gov,253116, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+3811,38, Private,206535, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K
+3812,26, State-gov,70447, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+3813,46, Private,201217, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3814,25, Private,209970, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3815,20, Private,196745, Some-college,10, Never-married, Other-service, Own-child, White, Female,594,0,16, United-States, <=50K
+3816,29, Local-gov,175262, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, <=50K
+3817,51, Self-emp-inc,304955, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+3818,40, Private,181265, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K
+3819,24, Private,200973, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3820,24, Self-emp-not-inc,37440, Bachelors,13, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K
+3821,31, Private,395170, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,24, Mexico, <=50K
+3822,54, ?,32385, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+3823,34, Private,353213, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+3824,19, Private,38619, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,66, United-States, <=50K
+3825,21, Private,177711, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+3826,21, Private,190761, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+3827,23, Private,27776, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K
+3828,37, Federal-gov,470663, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3829,40, Private,71738, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K
+3830,57, Private,74156, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+3831,48, Private,202467, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,40, United-States, >50K
+3832,24, Private,123983, 11th,7, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+3833,43, Private,193494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+3834,32, ?,169886, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,20, ?, <=50K
+3835,40, Private,130571, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3836,52, Self-emp-inc,90363, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K
+3837,49, Private,83444, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3838,45, Self-emp-not-inc,239093, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3137,0,40, United-States, <=50K
+3839,62, Local-gov,151369, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3840,29, Private,56630, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+3841,49, Private,117095, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+3842,55, Federal-gov,189985, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+3843,20, ?,34862, Some-college,10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,72, United-States, <=50K
+3844,37, Self-emp-inc,126675, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+3845,43, State-gov,199806, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+3846,29, Private,57596, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3847,44, Private,103459, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+3848,28, Private,282398, Some-college,10, Separated, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K
+3849,38, Private,298841, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+3850,45, Private,33300, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K
+3851,22, ?,306031, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+3852,19, Private,306467, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+3853,20, Private,189888, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3854,60, Private,83861, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+3855,30, Private,117393, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3856,22, Private,129934, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+3857,51, Private,179010, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+3858,31, Private,375680, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, ?, <=50K
+3859,48, Private,316101, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+3860,43, Private,293305, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+3861,51, Local-gov,175750, HS-grad,9, Divorced, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K
+3862,41, Private,121718, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,48, United-States, >50K
+3863,62, ?,94931, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,3411,0,40, United-States, <=50K
+3864,50, State-gov,229272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+3865,46, Private,142828, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+3866,54, Private,22743, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, United-States, >50K
+3867,68, Private,76371, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K
+3868,23, Self-emp-not-inc,216129, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+3869,49, Private,107425, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3870,24, Private,611029, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+3871,30, Local-gov,363032, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+3872,38, Private,170020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,45, United-States, <=50K
+3873,34, Private,137900, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3874,22, Private,322674, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+3875,30, Private,23778, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3876,61, Private,147845, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,31, United-States, <=50K
+3877,36, Private,175759, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+3878,51, Self-emp-inc,166459, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3879,43, Private,128212, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Vietnam, >50K
+3880,54, Federal-gov,127455, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K
+3881,63, Private,134699, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K
+3882,51, Private,254230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3883,63, Self-emp-not-inc,159715, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+3884,51, Local-gov,116286, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+3885,27, Private,146719, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+3886,35, Private,361888, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+3887,31, ?,26553, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, >50K
+3888,46, Self-emp-not-inc,32825, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+3889,53, Private,225768, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+3890,26, Federal-gov,393728, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K
+3891,43, Private,160369, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+3892,39, Private,191807, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+3893,50, Federal-gov,176969, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+3894,54, Federal-gov,33863, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+3895,62, ?,182687, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,45, United-States, >50K
+3896,57, State-gov,141459, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+3897,19, ?,174233, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,24, United-States, <=50K
+3898,29, Local-gov,95393, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+3899,20, Private,221095, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K
+3900,53, Private,104501, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K
+3901,18, ?,437851, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+3902,22, ?,131230, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+3903,23, Private,495888, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K
+3904,69, Private,185691, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K
+3905,56, Private,201822, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,40, United-States, <=50K
+3906,53, Local-gov,549341, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K
+3907,28, Private,247445, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3908,28, Private,199566, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+3909,33, Self-emp-inc,139057, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,84, Taiwan, >50K
+3910,48, Private,185039, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+3911,61, Private,166124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3912,49, Private,82649, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K
+3913,48, Private,109275, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3914,32, Private,408328, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3915,51, Private,186338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3916,27, ?,130856, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3917,19, Private,251579, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K
+3918,47, Private,76612, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+3919,25, Private,22546, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+3920,72, Private,53684, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+3921,29, Private,183627, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3922,22, Private,73203, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+3923,57, Private,108426, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,48, England, <=50K
+3924,50, Private,116287, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, Columbia, <=50K
+3925,45, Self-emp-inc,145697, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+3926,52, Private,326156, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+3927,53, Private,201127, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+3928,36, Private,250791, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K
+3929,46, Private,328216, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3930,20, Private,400443, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+3931,75, Private,95985, 5th-6th,3, Widowed, Other-service, Unmarried, Black, Male,0,0,10, United-States, <=50K
+3932,32, Local-gov,127651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+3933,28, Private,250679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3934,53, Private,103950, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3935,17, Private,200199, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+3936,46, State-gov,295791, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+3937,39, Private,191841, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+3938,38, Private,82622, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+3939,36, Private,160728, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+3940,63, Local-gov,109849, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,21, United-States, <=50K
+3941,28, Private,339897, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, Mexico, <=50K
+3942,28, ?,37215, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K
+3943,49, Private,371299, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+3944,43, Private,421837, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+3945,38, Private,29702, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+3946,39, Private,117381, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,62, England, <=50K
+3947,42, ?,240027, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+3948,40, Private,338740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+3949,45, ?,28359, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,10, United-States, <=50K
+3950,29, ?,315026, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+3951,24, Federal-gov,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1741,45, United-States, <=50K
+3952,30, Private,173005, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+3953,44, Private,286750, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+3954,40, Private,163985, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K
+3955,30, Private,219318, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,35, Puerto-Rico, <=50K
+3956,42, Private,44121, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K
+3957,52, Self-emp-not-inc,103794, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+3958,42, Private,310632, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+3959,39, Private,153976, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+3960,43, Private,174575, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K
+3961,62, Self-emp-not-inc,82388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,10566,0,40, United-States, <=50K
+3962,30, Private,207253, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K
+3963,83, ?,251951, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+3964,39, Private,746786, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+3965,41, Private,308296, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,20, United-States, <=50K
+3966,49, Private,101825, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K
+3967,25, Private,109009, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+3968,48, Private,413363, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K
+3969,59, ?,117751, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Male,0,0,8, United-States, <=50K
+3970,44, State-gov,296326, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+3971,36, Private,208358, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,4650,0,56, United-States, <=50K
+3972,40, Private,120277, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Ireland, <=50K
+3973,21, Private,193219, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, Jamaica, <=50K
+3974,41, Private,86399, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+3975,24, Private,215251, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+3976,67, Self-emp-not-inc,124470, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+3977,24, Private,228649, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K
+3978,50, Self-emp-not-inc,386397, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+3979,48, Private,96798, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+3980,55, ?,106707, Assoc-acdm,12, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, >50K
+3981,29, Private,159768, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,3325,0,40, Ecuador, <=50K
+3982,50, Private,139464, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, Ireland, <=50K
+3983,64, State-gov,550848, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+3984,49, Private,68505, 9th,5, Divorced, Other-service, Not-in-family, Black, Male,0,0,37, United-States, <=50K
+3985,20, Private,122215, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,52, United-States, <=50K
+3986,30, Private,159442, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+3987,37, Private,80638, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K
+3988,52, Private,192390, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+3989,22, Private,191324, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,25, United-States, <=50K
+3990,77, ?,147284, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,14, United-States, <=50K
+3991,19, State-gov,73009, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K
+3992,52, Private,177858, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,55, United-States, >50K
+3993,42, Private,163003, Bachelors,13, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+3994,35, Private,95551, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K
+3995,27, Private,125298, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+3996,54, State-gov,198186, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+3997,37, Private,295949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K
+3998,37, Private,182668, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+3999,28, Private,124905, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+4000,63, Private,171635, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+4001,19, Private,376240, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,42, United-States, <=50K
+4002,28, Private,157391, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+4003,23, ?,114357, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4004,44, Private,178134, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+4005,31, Private,207201, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4006,35, Private,124483, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, ?, >50K
+4007,64, Private,102103, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4008,40, Private,92036, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+4009,59, Local-gov,236426, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4010,22, Private,400966, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+4011,40, Private,404573, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K
+4012,35, Private,227571, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+4013,20, Private,145917, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+4014,35, Local-gov,190226, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+4015,28, Private,356555, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+4016,28, Private,66473, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+4017,37, ?,172256, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+4018,72, ?,118902, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,2392,6, United-States, >50K
+4019,25, Self-emp-inc,163039, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+4020,37, Private,89559, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+4021,19, ?,35507, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K
+4022,31, Private,163303, Assoc-voc,11, Divorced, Sales, Own-child, White, Female,0,0,38, United-States, <=50K
+4023,41, Private,192712, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+4024,31, Private,381153, 10th,6, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+4025,44, Private,222434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4026,20, Private,34706, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,47, United-States, <=50K
+4027,57, Self-emp-not-inc,47857, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+4028,26, Private,195216, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K
+4029,44, Self-emp-inc,103643, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,60, Greece, <=50K
+4030,29, Local-gov,329426, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4031,36, Private,183612, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+4032,40, Private,184105, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4033,21, Private,211385, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Male,0,0,35, Jamaica, <=50K
+4034,21, Private,61777, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K
+4035,34, Self-emp-not-inc,320194, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, >50K
+4036,24, Private,199444, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K
+4037,28, Private,312588, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4038,35, Private,168675, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K
+4039,35, Private,87556, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4040,38, State-gov,220421, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4041,44, Federal-gov,404599, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4042,39, Private,99065, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Poland, >50K
+4043,57, Local-gov,109973, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4044,19, Private,246652, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+4045,29, Private,57423, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+4046,23, Private,291248, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K
+4047,50, Private,163708, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+4048,51, Self-emp-not-inc,240358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+4049,28, Private,25955, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+4050,44, Private,101593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+4051,29, Self-emp-not-inc,227890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4052,31, Private,225053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4053,27, Private,228472, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+4054,34, Private,245378, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+4055,50, Self-emp-inc,156623, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,50, Philippines, >50K
+4056,27, Private,35032, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+4057,31, Private,258849, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4058,46, Private,190115, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4059,39, Private,63910, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+4060,40, Private,510072, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+4061,28, Private,210867, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+4062,18, Private,263024, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+4063,51, Private,306785, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4064,58, Self-emp-inc,104333, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4065,66, Private,340734, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+4066,36, Self-emp-not-inc,288585, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,20, South, <=50K
+4067,38, Private,241765, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,60, United-States, <=50K
+4068,25, Private,111058, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+4069,25, Private,104662, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,22, United-States, <=50K
+4070,90, Private,313986, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+4071,41, Local-gov,52037, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+4072,34, ?,146589, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4073,33, Private,131776, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,914,0,40, Germany, <=50K
+4074,33, Private,254221, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4075,35, Private,152909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K
+4076,39, Self-emp-not-inc,211785, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,20, United-States, <=50K
+4077,59, Private,160362, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+4078,19, Private,387215, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,1719,16, United-States, <=50K
+4079,39, Private,187046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,38, United-States, <=50K
+4080,19, ?,208874, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+4081,27, Private,169631, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+4082,52, Private,202956, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4083,59, Self-emp-not-inc,80467, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+4084,28, Private,407672, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+4085,37, Private,243425, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,50, Peru, <=50K
+4086,50, ?,174964, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K
+4087,36, Private,347491, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4088,34, Private,146161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+4089,23, Private,449432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+4090,19, ?,175499, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+4091,33, Private,288825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2258,84, United-States, <=50K
+4092,27, Local-gov,134813, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,52, United-States, <=50K
+4093,31, Local-gov,190401, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+4094,21, Private,260617, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,36, United-States, <=50K
+4095,31, Private,45604, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, <=50K
+4096,59, Private,67841, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+4097,40, Local-gov,244522, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,48, United-States, >50K
+4098,19, Private,430471, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+4099,47, Private,194698, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+4100,34, Private,94235, Bachelors,13, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+4101,57, Private,188330, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,78, United-States, <=50K
+4102,51, Local-gov,146181, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+4103,21, Private,177125, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K
+4104,30, Self-emp-inc,68330, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+4105,46, Private,95636, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4106,40, Private,238329, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+4107,52, Private,416129, Preschool,1, Married-civ-spouse, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K
+4108,23, Private,285004, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K
+4109,90, ?,256514, Bachelors,13, Widowed, ?, Other-relative, White, Female,991,0,10, United-States, <=50K
+4110,25, Private,186294, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4111,43, Private,188786, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4112,38, State-gov,31352, Some-college,10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K
+4113,22, Private,197613, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+4114,33, Local-gov,161942, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,1055,0,40, United-States, <=50K
+4115,34, Private,275438, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K
+4116,65, Private,361721, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+4117,50, Private,144968, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,15, United-States, <=50K
+4118,29, Private,190539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,6849,0,48, United-States, <=50K
+4119,25, Private,178037, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4120,54, Private,306985, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4121,49, Private,87928, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+4122,44, Private,242619, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4123,24, Private,154165, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+4124,25, Private,511331, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K
+4125,65, Local-gov,221026, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+4126,56, Self-emp-not-inc,222182, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, <=50K
+4127,39, Self-emp-not-inc,126569, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+4128,23, Private,202344, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+4129,20, Private,190423, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+4130,24, Private,238917, 5th-6th,3, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, El-Salvador, <=50K
+4131,41, Private,221947, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+4132,40, Self-emp-inc,37997, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+4133,55, Private,147098, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+4134,38, Private,278253, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+4135,23, Private,195411, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4136,44, Private,76196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+4137,45, Private,120131, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+4138,20, Self-emp-not-inc,186014, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, Germany, <=50K
+4139,29, Private,205903, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+4140,43, State-gov,125405, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+4141,30, Private,219838, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4142,28, State-gov,19395, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+4143,31, Private,223327, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4144,52, Private,114062, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+4145,36, Private,95654, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, Iran, >50K
+4146,38, Private,177305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+4147,66, ?,299616, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+4148,63, Self-emp-not-inc,117681, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+4149,21, Private,237651, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+4150,33, State-gov,150570, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4151,46, State-gov,106705, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,50, United-States, <=50K
+4152,20, ?,174714, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+4153,47, Self-emp-inc,175958, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,60, United-States, <=50K
+4154,33, Private,144064, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+4155,66, ?,107112, 7th-8th,4, Never-married, ?, Other-relative, Black, Male,0,0,30, United-States, <=50K
+4156,20, Private,54152, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, ?, <=50K
+4157,28, Private,152951, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4158,46, Private,190487, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,28, Ecuador, <=50K
+4159,25, Private,306666, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,45, United-States, <=50K
+4160,37, Private,195148, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,3137,0,40, United-States, <=50K
+4161,31, Self-emp-not-inc,226624, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+4162,49, Private,157569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4163,22, State-gov,22966, Some-college,10, Married-spouse-absent, Tech-support, Unmarried, White, Male,0,0,20, United-States, <=50K
+4164,52, Private,379682, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, >50K
+4165,29, Private,446559, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K
+4166,18, Private,41794, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+4167,31, Local-gov,90409, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+4168,23, Private,125491, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Vietnam, <=50K
+4169,27, ?,129661, Assoc-voc,11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K
+4170,54, Self-emp-not-inc,104748, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+4171,50, Local-gov,169182, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,49, Dominican-Republic, <=50K
+4172,46, Private,324655, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, ?, >50K
+4173,24, Private,122272, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K
+4174,17, ?,114798, 11th,7, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K
+4175,49, Self-emp-inc,289707, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4176,54, Local-gov,137691, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4177,41, Private,84610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K
+4178,49, Private,166789, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+4179,36, Local-gov,348728, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4180,23, Private,348092, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, Haiti, <=50K
+4181,63, Private,154526, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4182,67, Private,288371, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K
+4183,23, Private,182342, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4184,22, Private,244366, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+4185,66, Private,102423, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K
+4186,25, Private,259688, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+4187,30, Private,98733, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K
+4188,35, Private,174856, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,40, United-States, <=50K
+4189,67, Self-emp-not-inc,141797, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+4190,30, Private,327202, 12th,8, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4191,26, Private,76996, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+4192,34, Private,260560, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4193,21, Private,370990, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+4194,18, Private,129010, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K
+4195,21, Private,452640, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4196,76, Self-emp-inc,120796, 9th,5, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+4197,51, Federal-gov,45334, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,70, ?, <=50K
+4198,26, Private,229523, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,56, United-States, <=50K
+4199,18, Private,127388, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+4200,18, ?,395567, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+4201,34, Private,119422, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1672,50, United-States, <=50K
+4202,59, Private,193895, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4203,55, Private,163083, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K
+4204,33, Self-emp-not-inc,155343, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,72, United-States, <=50K
+4205,25, Private,73895, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+4206,48, Private,107682, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K
+4207,64, Private,321166, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,5, United-States, <=50K
+4208,47, Local-gov,154940, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K
+4209,26, Private,103700, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+4210,36, Private,63509, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+4211,21, Private,243842, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+4212,54, ?,187221, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+4213,30, Private,58597, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,44, United-States, <=50K
+4214,41, Self-emp-not-inc,190290, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4215,53, ?,158352, Masters,14, Never-married, ?, Not-in-family, White, Female,8614,0,35, United-States, >50K
+4216,34, Private,62165, Some-college,10, Never-married, Sales, Other-relative, Black, Male,0,0,30, United-States, <=50K
+4217,20, ?,307149, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+4218,24, Private,280134, 10th,6, Never-married, Sales, Not-in-family, White, Male,0,0,49, El-Salvador, <=50K
+4219,26, Private,118736, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+4220,25, Private,171114, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K
+4221,35, Private,169638, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K
+4222,41, Private,125461, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+4223,33, Private,145434, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+4224,18, Private,152182, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+4225,27, Self-emp-inc,233724, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K
+4226,32, Private,153963, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+4227,51, Local-gov,88120, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4228,38, Private,96330, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4229,41, Local-gov,66118, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,25, United-States, <=50K
+4230,26, Private,182178, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K
+4231,38, Self-emp-not-inc,53628, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,35, United-States, <=50K
+4232,54, Private,174865, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+4233,30, Private,66194, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Outlying-US(Guam-USVI-etc), <=50K
+4234,31, Private,73796, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K
+4235,26, State-gov,28366, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4236,75, Self-emp-not-inc,231741, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931,0,3, United-States, <=50K
+4237,29, Private,237865, Masters,14, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+4238,61, Private,195453, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4239,24, Private,116934, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+4240,22, ?,87867, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+4241,34, Private,456399, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4242,42, Private,263608, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+4243,24, Private,263498, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4244,42, Self-emp-not-inc,183765, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K
+4245,27, Federal-gov,469705, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,1980,40, United-States, <=50K
+4246,39, Local-gov,113253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+4247,20, Private,138768, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+4248,51, Private,302146, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+4249,68, Private,253866, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+4250,28, Federal-gov,214858, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K
+4251,43, Private,243476, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4252,35, Private,169104, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4253,44, Private,103218, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4254,41, Private,57233, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4255,44, Private,228320, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+4256,20, Private,217421, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+4257,46, Private,185041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, >50K
+4258,27, Self-emp-not-inc,37302, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,70, United-States, >50K
+4259,32, Private,261059, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4260,46, Private,59767, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4261,26, Private,333541, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K
+4262,20, Private,133352, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+4263,36, Private,99270, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K
+4264,49, Private,204629, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4265,32, Private,34104, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K
+4266,32, Private,312667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+4267,49, Private,329603, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+4268,36, Private,281021, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4269,22, Private,275385, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K
+4270,52, Federal-gov,129177, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4271,42, Private,385591, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4272,22, ?,201179, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+4273,72, Private,38360, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,16, United-States, <=50K
+4274,30, Local-gov,73796, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4275,44, Private,67671, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+4276,23, Private,257621, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+4277,22, Private,180052, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+4278,59, Private,656036, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K
+4279,46, Private,215943, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+4280,30, Private,488720, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+4281,64, Federal-gov,199298, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,30, Puerto-Rico, <=50K
+4282,31, Private,305692, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K
+4283,64, Private,114994, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+4284,45, Private,88265, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+4285,59, Private,168569, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K
+4286,32, Private,175413, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K
+4287,43, Private,161226, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+4288,66, ?,160995, 10th,6, Divorced, ?, Not-in-family, White, Female,1086,0,20, United-States, <=50K
+4289,23, Private,208598, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4290,49, Self-emp-not-inc,200471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4291,32, Private,256609, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+4292,49, Private,176684, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+4293,33, Private,206512, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4294,28, Private,212640, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,85, United-States, <=50K
+4295,47, Private,148724, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K
+4296,41, Private,266510, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+4297,34, Local-gov,240252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4298,25, Private,358975, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4299,20, ?,124242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+4300,21, Private,434710, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+4301,25, Private,204338, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,30, ?, <=50K
+4302,46, Private,241844, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+4303,37, Private,191342, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K
+4304,41, Private,221947, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K
+4305,44, Private,111483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,1504,50, United-States, <=50K
+4306,30, Private,65278, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+4307,54, Private,133403, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4308,35, Self-emp-not-inc,166416, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K
+4309,58, ?,142158, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K
+4310,21, Private,221480, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,25, Ecuador, <=50K
+4311,35, Self-emp-not-inc,189878, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4312,35, Private,278403, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K
+4313,19, Private,184710, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+4314,48, Private,177775, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4315,56, ?,275943, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Nicaragua, <=50K
+4316,65, Self-emp-not-inc,225473, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4317,40, Private,289403, Bachelors,13, Separated, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K
+4318,26, Private,269060, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4319,45, Private,449354, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+4320,26, Private,214413, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+4321,32, Private,80058, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+4322,35, Private,202027, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K
+4323,22, Self-emp-not-inc,123440, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K
+4324,37, Private,191524, Assoc-voc,11, Separated, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K
+4325,25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+4326,64, Private,164204, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,53, ?, <=50K
+4327,46, Private,205100, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+4328,30, Private,195750, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K
+4329,63, Private,149756, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+4330,51, Local-gov,240358, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+4331,68, Self-emp-not-inc,241174, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K
+4332,36, Private,356838, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, <=50K
+4333,28, Self-emp-inc,115705, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4334,41, Local-gov,137142, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+4335,47, Private,296066, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+4336,22, Private,401335, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+4337,33, ?,182771, Bachelors,13, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,80, Philippines, <=50K
+4338,34, Self-emp-inc,186824, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+4339,46, Federal-gov,162187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+4340,28, Private,98010, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+4341,36, Private,172538, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+4342,18, Private,80163, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+4343,33, Local-gov,43959, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+4344,51, Private,162632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K
+4345,56, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+4346,54, Private,100933, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+4347,29, Private,270379, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4348,40, Private,20109, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,84, United-States, <=50K
+4349,53, Private,114758, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K
+4350,22, Private,100345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+4351,33, Private,184901, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+4352,28, Private,87239, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4353,63, Private,127363, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,12, United-States, <=50K
+4354,53, Federal-gov,199720, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, Germany, >50K
+4355,37, Private,143058, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+4356,50, Federal-gov,36489, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+4357,22, Private,141698, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+4358,40, Federal-gov,26358, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4359,22, Private,195532, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K
+4360,21, Private,30039, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+4361,25, Private,125159, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Jamaica, <=50K
+4362,20, Private,246250, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4363,43, Federal-gov,77370, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4364,29, Private,355569, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+4365,32, Private,180603, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4366,42, Private,201785, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+4367,33, Private,256211, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+4368,27, Private,146764, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+4369,22, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Iran, <=50K
+4370,29, Private,200515, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K
+4371,29, Private,52636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4372,20, Private,27049, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K
+4373,35, Private,111128, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+4374,31, Self-emp-not-inc,348038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, Puerto-Rico, >50K
+4375,33, Private,93930, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4376,67, Private,397831, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1539,40, United-States, <=50K
+4377,46, Private,33794, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K
+4378,45, Private,178215, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K
+4379,17, Local-gov,191910, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+4380,35, Private,340110, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,70, United-States, >50K
+4381,48, Self-emp-not-inc,133694, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, Jamaica, >50K
+4382,49, Private,148398, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+4383,20, Private,133515, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+4384,27, Private,181667, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,46, Canada, <=50K
+4385,64, Private,159715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+4386,53, Federal-gov,174040, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4387,52, Private,117700, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4388,29, Private,37215, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+4389,32, Self-emp-inc,46807, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K
+4390,48, Self-emp-not-inc,317360, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+4391,30, Private,425627, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+4392,34, Private,82623, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+4393,19, ?,63574, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+4394,39, Private,140854, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4395,28, Private,185061, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+4396,17, Private,160118, 12th,8, Never-married, Sales, Not-in-family, White, Female,0,0,10, ?, <=50K
+4397,54, Private,282680, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4398,24, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1762,40, United-States, <=50K
+4399,25, Private,198163, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+4400,25, Private,132749, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,12, United-States, <=50K
+4401,48, Local-gov,31264, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178,0,40, United-States, >50K
+4402,24, Private,399449, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+4403,31, Private,27494, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K
+4404,47, Private,368561, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4405,45, Private,102096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+4406,19, Private,406078, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+4407,52, Self-emp-inc,100506, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+4408,52, Private,29658, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+4409,19, ?,20469, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,12, South, <=50K
+4410,60, Private,181953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,28, United-States, <=50K
+4411,43, Private,304175, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4412,24, Private,170070, Assoc-acdm,12, Divorced, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+4413,20, ?,193416, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+4414,51, Private,194908, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4415,38, Self-emp-not-inc,357962, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4416,21, Private,214716, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+4417,40, Self-emp-inc,207578, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+4418,54, Private,146409, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+4419,35, Private,341643, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,50, United-States, <=50K
+4420,52, Private,131631, 11th,7, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K
+4421,53, Private,88842, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+4422,56, ?,128900, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+4423,35, Private,417136, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+4424,43, Self-emp-not-inc,336763, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,880,42, United-States, <=50K
+4425,29, Private,209301, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K
+4426,29, Private,120986, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K
+4427,27, Private,51025, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4428,58, Private,218281, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K
+4429,64, Private,114994, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,18, United-States, <=50K
+4430,53, Private,335481, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,32, United-States, <=50K
+4431,21, Private,174503, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+4432,40, Self-emp-not-inc,230478, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K
+4433,52, State-gov,149650, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K
+4434,38, Private,149419, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4435,40, ?,341539, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+4436,39, Private,185099, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+4437,56, ?,132930, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,50, United-States, >50K
+4438,68, Private,128472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+4439,24, Private,124971, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K
+4440,40, Self-emp-inc,344060, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4441,43, Self-emp-inc,286750, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,99, United-States, >50K
+4442,38, Private,296999, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K
+4443,45, Private,123681, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4444,18, Private,232024, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K
+4445,57, Local-gov,52267, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4446,49, Private,119182, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+4447,25, Private,191230, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Yugoslavia, <=50K
+4448,52, Federal-gov,23780, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4449,56, Private,184553, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K
+4450,26, Self-emp-inc,242651, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+4451,19, Private,246226, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4452,25, Self-emp-inc,86745, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+4453,25, Private,106889, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K
+4454,21, Private,460835, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K
+4455,48, Self-emp-not-inc,213140, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K
+4456,33, State-gov,37070, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Canada, <=50K
+4457,31, State-gov,93589, HS-grad,9, Divorced, Protective-serv, Own-child, Other, Male,0,0,40, United-States, <=50K
+4458,26, Self-emp-not-inc,213258, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,65, United-States, <=50K
+4459,37, State-gov,46814, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+4460,29, ?,168873, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,30, United-States, <=50K
+4461,20, Private,284737, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+4462,28, Private,309620, Some-college,10, Married-civ-spouse, Sales, Husband, Other, Male,0,0,60, ?, <=50K
+4463,49, Private,197418, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+4464,73, ?,132737, 10th,6, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K
+4465,49, Private,185041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+4466,51, Private,159604, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+4467,40, Private,123557, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+4468,24, Private,275421, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+4469,18, Private,167147, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K
+4470,41, Private,197583, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+4471,46, Private,175109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, >50K
+4472,46, Private,117502, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+4473,64, Private,180401, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+4474,50, Self-emp-not-inc,146603, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+4475,53, State-gov,143822, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K
+4476,21, Private,51985, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4477,22, State-gov,48121, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K
+4478,37, Private,234807, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,7430,0,45, United-States, >50K
+4479,39, Federal-gov,65324, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+4480,30, Private,302149, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+4481,25, Private,168403, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+4482,26, Private,159897, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4483,43, Private,416338, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4484,59, Private,370615, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K
+4485,27, Private,219371, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Jamaica, <=50K
+4486,55, Private,120970, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+4487,20, Private,22966, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, Canada, <=50K
+4488,25, Private,34541, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, Canada, <=50K
+4489,28, Private,191027, Assoc-acdm,12, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4490,29, Private,107458, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4491,60, Private,121832, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4492,37, Local-gov,233825, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K
+4493,25, Private,73839, 11th,7, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+4494,27, Private,109165, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+4495,50, State-gov,103063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4496,41, Self-emp-not-inc,29762, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013,0,70, United-States, <=50K
+4497,46, Private,111979, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K
+4498,35, Private,150125, Assoc-voc,11, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4499,21, ?,301853, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+4500,35, ?,296738, 11th,7, Separated, ?, Not-in-family, White, Female,6849,0,60, United-States, <=50K
+4501,40, Private,118001, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4502,49, Private,149337, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4503,29, Private,36601, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4504,43, Local-gov,118600, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,625,40, United-States, <=50K
+4505,39, Private,279272, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+4506,35, Private,181020, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K
+4507,52, Private,165998, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4508,25, Private,218136, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K
+4509,20, Self-emp-inc,182200, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+4510,46, Private,39363, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,10, ?, <=50K
+4511,24, Private,140001, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4512,29, Private,193260, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,30, India, <=50K
+4513,21, Private,191243, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+4514,37, Federal-gov,207887, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K
+4515,43, Federal-gov,211450, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+4516,19, Private,184759, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,26, United-States, <=50K
+4517,47, Private,197836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+4518,61, Private,232308, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+4519,21, ?,189888, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K
+4520,35, Private,301614, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+4521,60, Private,146674, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+4522,27, Private,225291, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4523,57, Local-gov,148509, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, India, <=50K
+4524,56, Private,136413, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4525,27, Private,126060, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4526,47, Private,73064, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,35, United-States, <=50K
+4527,19, Private,39026, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+4528,28, Self-emp-not-inc,33035, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+4529,43, Private,193494, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+4530,63, Local-gov,147440, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4531,22, ?,153131, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+4532,25, Private,64671, HS-grad,9, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+4533,35, Self-emp-not-inc,225399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,8614,0,40, United-States, >50K
+4534,20, Private,174391, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+4535,48, Private,377757, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+4536,30, Local-gov,364310, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, Germany, <=50K
+4537,31, Private,110643, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+4538,20, Private,70240, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,24, Philippines, <=50K
+4539,57, State-gov,32694, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4540,41, Private,95047, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,44, United-States, >50K
+4541,33, Private,264936, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+4542,27, Private,367329, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+4543,34, Private,56026, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+4544,22, Private,186452, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+4545,50, Private,125417, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K
+4546,40, Self-emp-not-inc,242082, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+4547,37, Private,31023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K
+4548,40, ?,397346, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4549,53, Private,424079, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+4550,38, Self-emp-not-inc,108947, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K
+4551,25, State-gov,261979, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4552,51, Private,55507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+4553,22, ?,291407, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+4554,18, Private,353358, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+4555,41, Private,67339, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K
+4556,33, Private,235109, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+4557,33, Private,208180, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4558,67, State-gov,423561, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4559,47, Self-emp-not-inc,145290, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K
+4560,24, Private,403671, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4561,32, Local-gov,49325, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+4562,29, Private,370494, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+4563,25, Private,267012, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4564,33, Private,191856, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4565,55, Private,80445, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4566,31, Private,379798, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4567,32, Local-gov,168387, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+4568,18, Private,301948, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,34095,0,3, United-States, <=50K
+4569,36, Private,274809, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+4570,58, Private,233193, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K
+4571,34, Private,299635, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+4572,19, Private,236396, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4573,21, Private,688355, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4574,36, Self-emp-inc,37019, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4575,37, Private,148015, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024,0,40, United-States, >50K
+4576,43, Private,122975, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,21, Trinadad&Tobago, <=50K
+4577,52, State-gov,349795, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+4578,48, Private,229846, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K
+4579,43, Private,108945, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+4580,22, Private,237498, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+4581,57, Private,188872, 5th-6th,3, Divorced, Transport-moving, Unmarried, White, Male,6497,0,40, United-States, <=50K
+4582,37, Private,324019, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4583,39, Private,82488, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,38, United-States, <=50K
+4584,54, Private,206964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4585,27, Private,37088, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4586,21, Private,152540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4587,65, Private,143554, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+4588,30, Private,126242, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+4589,22, Private,127185, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4590,26, Private,164018, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,50, United-States, <=50K
+4591,25, Private,210184, 11th,7, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+4592,35, ?,117528, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K
+4593,47, Private,124973, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+4594,23, Private,182117, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K
+4595,42, Private,220049, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+4596,39, Self-emp-not-inc,247975, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K
+4597,55, Private,50164, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+4598,24, State-gov,123160, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,10, China, <=50K
+4599,46, Self-emp-inc,219962, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, ?, >50K
+4600,53, Private,79324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4601,44, Private,129100, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,60, United-States, <=50K
+4602,40, Private,210275, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4603,48, Private,189462, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+4604,26, Private,171114, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+4605,22, Private,201799, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+4606,35, ?,200426, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,12, United-States, <=50K
+4607,20, ?,24395, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+4608,43, Private,191149, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4609,37, Local-gov,34173, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K
+4610,30, Private,350979, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K
+4611,41, Private,147314, HS-grad,9, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K
+4612,38, Private,136081, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+4613,77, ?,232894, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+4614,42, Self-emp-not-inc,373403, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+4615,20, Private,120601, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+4616,36, Private,130926, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K
+4617,32, Federal-gov,72338, Assoc-voc,11, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+4618,27, Private,129624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4619,25, State-gov,328697, Some-college,10, Divorced, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K
+4620,40, Private,191196, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4621,18, ?,191117, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+4622,49, Private,110243, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+4623,17, Private,181580, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+4624,29, Private,89030, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+4625,47, Private,345493, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,55, Taiwan, >50K
+4626,24, Self-emp-not-inc,277700, Some-college,10, Separated, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+4627,58, ?,198478, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+4628,29, Private,250679, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4629,45, Private,168837, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, Canada, >50K
+4630,30, Private,142675, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+4631,19, Private,299050, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+4632,59, Private,107833, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1485,40, United-States, >50K
+4633,47, Private,121958, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+4634,41, Private,282948, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,3137,0,40, United-States, <=50K
+4635,28, Private,176683, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, France, <=50K
+4636,46, Private,34377, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4637,40, Self-emp-not-inc,209833, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+4638,66, State-gov,41506, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+4639,30, Local-gov,125159, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,14084,0,45, ?, >50K
+4640,44, Self-emp-not-inc,147206, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,12, United-States, <=50K
+4641,58, Self-emp-not-inc,93664, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+4642,21, Private,315065, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K
+4643,59, Private,381851, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4644,35, Local-gov,185769, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+4645,45, Private,186272, 9th,5, Married-civ-spouse, Adm-clerical, Husband, Black, Male,5178,0,40, United-States, >50K
+4646,30, Private,312667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4647,33, Private,343925, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K
+4648,26, Private,195994, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+4649,48, Private,398843, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K
+4650,31, Private,73514, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+4651,36, Private,288049, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+4652,48, Private,54759, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+4653,30, Private,155343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+4654,33, Private,401104, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K
+4655,19, ?,124884, 9th,5, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+4656,37, Local-gov,287306, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,99999,0,40, ?, >50K
+4657,53, Private,113995, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+4658,18, Private,146378, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, ?, <=50K
+4659,38, Private,111499, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K
+4660,34, Private,34374, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4661,45, Private,162187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+4662,33, Local-gov,147654, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+4663,35, Private,182467, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,44, United-States, <=50K
+4664,22, Private,183970, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+4665,35, Private,332588, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+4666,45, Private,26781, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K
+4667,17, Private,48610, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K
+4668,50, Private,162632, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+4669,38, Local-gov,91711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4670,33, Private,198003, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K
+4671,46, Private,179048, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, ?, <=50K
+4672,25, Private,262778, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,6849,0,50, United-States, <=50K
+4673,64, Private,102470, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4674,62, Self-emp-not-inc,123170, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K
+4675,32, Private,164243, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K
+4676,17, Private,262511, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+4677,61, Private,51170, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+4678,40, State-gov,91949, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+4679,21, Private,123727, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K
+4680,39, Private,173175, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+4681,35, Self-emp-not-inc,120301, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+4682,29, Private,250967, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+4683,27, Federal-gov,285432, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4684,20, Private,36235, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4685,34, ?,317219, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K
+4686,51, Local-gov,110965, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+4687,45, Private,123283, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,15, United-States, <=50K
+4688,20, ?,249087, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+4689,31, Private,152940, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4690,29, Private,376680, HS-grad,9, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K
+4691,56, Private,231232, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Canada, <=50K
+4692,55, Self-emp-not-inc,168625, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,12, United-States, >50K
+4693,26, Private,33939, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K
+4694,46, Private,155659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K
+4695,32, Local-gov,190228, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+4696,28, Private,216178, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+4697,27, Private,587310, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,35, Guatemala, <=50K
+4698,23, Private,155919, 9th,5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+4699,59, Private,227386, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4700,26, Private,138152, 12th,8, Never-married, Craft-repair, Other-relative, Other, Male,0,0,48, Guatemala, <=50K
+4701,36, Private,167482, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4702,18, Private,57957, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+4703,33, Private,157747, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,70, United-States, <=50K
+4704,60, Self-emp-not-inc,88570, Assoc-voc,11, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,15, Germany, >50K
+4705,40, Private,273308, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, Mexico, <=50K
+4706,48, Private,216292, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,43, United-States, <=50K
+4707,27, Self-emp-not-inc,131298, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+4708,19, Private,386378, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+4709,38, Private,179668, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4710,26, Private,210812, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K
+4711,45, Federal-gov,311671, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K
+4712,20, Private,215247, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+4713,32, Federal-gov,125856, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+4714,22, Private,74631, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,13, United-States, <=50K
+4715,22, Private,24008, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4716,38, State-gov,354591, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,114,0,38, United-States, <=50K
+4717,34, Private,155343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K
+4718,46, Private,308334, 1st-4th,2, Widowed, Other-service, Unmarried, Other, Female,0,0,30, Mexico, <=50K
+4719,39, Private,245361, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K
+4720,79, Self-emp-not-inc,158319, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+4721,60, ?,204486, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K
+4722,24, Private,314823, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, Dominican-Republic, <=50K
+4723,31, Private,211334, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,65, United-States, <=50K
+4724,37, Self-emp-not-inc,73199, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3137,0,77, Vietnam, <=50K
+4725,23, Private,126550, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+4726,31, Private,260782, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,45, El-Salvador, <=50K
+4727,29, Private,114224, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+4728,22, State-gov,64292, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,43, United-States, <=50K
+4729,69, ?,628797, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+4730,55, Local-gov,219775, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+4731,43, Private,212894, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+4732,23, Private,260019, 7th-8th,4, Never-married, Farming-fishing, Unmarried, Other, Male,0,0,36, Mexico, <=50K
+4733,29, Private,228075, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,35, Mexico, <=50K
+4734,22, Private,239806, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Female,0,0,40, Mexico, <=50K
+4735,22, Private,324637, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K
+4736,25, Private,163620, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,84, United-States, >50K
+4737,29, Private,194200, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K
+4738,25, State-gov,129200, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4739,33, Federal-gov,207172, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4740,33, Private,135312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+4741,31, Private,100734, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,28, United-States, <=50K
+4742,30, Local-gov,226443, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K
+4743,55, Private,110871, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+4744,36, Private,192704, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,4650,0,50, United-States, <=50K
+4745,47, ?,224108, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+4746,28, Private,78870, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K
+4747,42, Private,107762, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+4748,51, Private,183611, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, Germany, <=50K
+4749,62, Local-gov,249078, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+4750,65, Self-emp-inc,208452, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+4751,23, Private,302195, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+4752,60, ?,199947, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K
+4753,47, Private,379118, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K
+4754,50, Self-emp-inc,174855, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+4755,70, ?,173736, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+4756,32, Self-emp-not-inc,39369, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4757,37, Federal-gov,196348, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4758,31, Private,340917, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,14344,0,40, United-States, >50K
+4759,76, Private,97077, 10th,6, Widowed, Sales, Unmarried, Black, Female,0,0,12, United-States, <=50K
+4760,54, Private,200098, Bachelors,13, Divorced, Sales, Not-in-family, Black, Female,0,0,60, United-States, <=50K
+4761,32, Federal-gov,127651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+4762,31, Private,315128, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K
+4763,31, Federal-gov,206823, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, >50K
+4764,65, Self-emp-not-inc,316093, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,1668,40, United-States, <=50K
+4765,30, Private,112115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, Ireland, >50K
+4766,63, ?,203821, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+4767,21, Private,250051, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K
+4768,40, Federal-gov,298635, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1902,40, Philippines, >50K
+4769,26, State-gov,109193, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4770,18, Private,130849, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K
+4771,34, Local-gov,43959, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+4772,66, Local-gov,222810, Some-college,10, Divorced, Other-service, Other-relative, White, Female,7896,0,40, ?, >50K
+4773,44, Self-emp-not-inc,27242, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K
+4774,30, Private,53158, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4775,36, Self-emp-not-inc,206520, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+4776,31, Private,164190, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4777,22, Private,287988, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+4778,28, ?,200819, 7th-8th,4, Divorced, ?, Own-child, White, Male,0,0,84, United-States, <=50K
+4779,23, Private,83891, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+4780,49, Private,65087, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+4781,39, Self-emp-not-inc,363418, Bachelors,13, Separated, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+4782,67, ?,182378, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,9386,0,60, United-States, >50K
+4783,19, Private,278870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+4784,30, Private,174789, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K
+4785,25, Private,228608, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K
+4786,24, Private,184400, HS-grad,9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, ?, <=50K
+4787,46, Private,263568, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4788,37, Private,117381, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+4789,41, Federal-gov,83411, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+4790,40, Self-emp-not-inc,49156, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+4791,44, Private,421449, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+4792,32, Private,238944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4793,58, Private,188982, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,20, United-States, >50K
+4794,48, Private,175925, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+4795,34, Private,164190, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+4796,29, Private,232914, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+4797,46, Self-emp-inc,120121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+4798,36, Local-gov,180805, HS-grad,9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+4799,59, Local-gov,161944, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K
+4800,29, Private,319149, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K
+4801,50, ?,22428, Masters,14, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4802,25, Private,290528, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4803,27, Private,123984, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K
+4804,48, Private,34186, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+4805,51, Federal-gov,282680, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,70, United-States, >50K
+4806,36, Private,183892, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,8614,0,45, United-States, >50K
+4807,42, Local-gov,195124, 11th,7, Divorced, Sales, Unmarried, White, Male,7430,0,50, Puerto-Rico, >50K
+4808,49, State-gov,55938, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+4809,33, Private,209900, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K
+4810,40, Private,179717, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1564,60, United-States, >50K
+4811,26, Private,150361, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4812,69, ?,164102, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K
+4813,59, Private,252714, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, Italy, <=50K
+4814,30, Private,205204, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+4815,31, Local-gov,168906, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+4816,30, Private,112115, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4817,27, Private,116531, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4818,20, ?,202994, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K
+4819,56, Private,191917, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,4101,0,40, United-States, <=50K
+4820,24, Private,341294, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4821,47, Private,216734, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K
+4822,51, Private,182187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+4823,34, Private,424988, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+4824,47, Private,379118, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,9, United-States, <=50K
+4825,47, Private,168232, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K
+4826,20, Private,147171, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+4827,34, Self-emp-inc,207668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, ?, >50K
+4828,31, Private,193650, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4829,42, Private,200187, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+4830,52, Private,188644, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+4831,56, Private,398067, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4832,53, Private,29658, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4833,26, Private,154966, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+4834,81, Private,364099, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+4835,28, ?,291374, 10th,6, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4836,57, Federal-gov,97837, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K
+4837,34, Private,117983, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4838,31, ?,345497, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+4839,24, Private,64167, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4840,20, Private,315877, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,2001,40, United-States, <=50K
+4841,68, Federal-gov,232151, Some-college,10, Divorced, Adm-clerical, Other-relative, Black, Female,2346,0,40, United-States, <=50K
+4842,60, Private,225526, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K
+4843,37, Federal-gov,289653, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4844,25, Private,179462, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+4845,36, Federal-gov,67317, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+4846,45, Private,77764, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4847,34, Private,253438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+4848,31, Private,150309, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K
+4849,47, Self-emp-not-inc,83064, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+4850,60, Self-emp-not-inc,376973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K
+4851,75, Private,311184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K
+4852,43, Local-gov,159449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+4853,18, Private,168288, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+4854,25, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,1092,40, Philippines, <=50K
+4855,20, Private,275190, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+4856,32, Private,189838, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4857,57, Self-emp-inc,101338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+4858,43, Private,331894, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+4859,18, Self-emp-not-inc,40293, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K
+4860,41, Local-gov,88904, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4861,48, Private,145041, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Dominican-Republic, <=50K
+4862,35, Private,46385, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,90, United-States, >50K
+4863,41, State-gov,363591, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+4864,23, Private,183327, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,1594,20, United-States, <=50K
+4865,32, State-gov,182556, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,45, United-States, >50K
+4866,33, Private,267859, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+4867,58, Private,190747, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+4868,22, Private,162869, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,65, United-States, <=50K
+4869,33, Private,141229, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+4870,42, Self-emp-not-inc,174216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+4871,25, Private,366416, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+4872,39, Private,172538, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4873,35, Private,193026, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+4874,50, Private,184424, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,38, United-States, >50K
+4875,49, Local-gov,337768, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4876,25, Local-gov,179059, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+4877,47, Federal-gov,99549, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4878,46, Private,72619, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+4879,42, State-gov,55764, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+4880,37, Private,30267, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, >50K
+4881,25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+4882,29, Private,206351, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+4883,26, Private,282304, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+4884,26, ?,176077, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+4885,45, Self-emp-inc,142719, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4886,34, Private,114973, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K
+4887,33, Federal-gov,159548, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4888,43, Private,91209, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4889,28, Private,196564, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+4890,51, Self-emp-not-inc,149220, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K
+4891,21, Private,169699, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4892,23, Private,218215, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+4893,30, Private,156718, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4894,46, Private,55720, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+4895,38, Self-emp-inc,257250, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+4896,20, Private,194630, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4897,36, Private,398931, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,50, United-States, >50K
+4898,37, Self-emp-not-inc,362062, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+4899,44, Local-gov,101593, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,42, United-States, <=50K
+4900,33, Private,196266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4901,45, Local-gov,197332, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4902,47, Private,97842, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4903,54, Private,86837, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1902,40, United-States, >50K
+4904,17, Private,57324, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+4905,43, Private,116852, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, Portugal, >50K
+4906,45, Private,154430, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,50, United-States, >50K
+4907,37, Private,38468, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4908,44, Local-gov,188808, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4909,55, Local-gov,177163, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,914,0,50, United-States, <=50K
+4910,41, Private,187322, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+4911,23, Private,107578, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K
+4912,38, Private,168680, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+4913,23, Private,256755, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,40, Cuba, <=50K
+4914,35, Private,360799, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+4915,18, Private,188476, 11th,7, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K
+4916,47, Private,30457, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+4917,25, Private,252752, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K
+4918,41, Self-emp-not-inc,443508, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+4919,23, Private,244408, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,24, Vietnam, <=50K
+4920,41, Private,178983, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+4921,26, Private,143068, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,50, United-States, <=50K
+4922,30, Local-gov,247328, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4923,42, Private,201732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+4924,35, Private,246829, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+4925,28, ?,290267, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,18, United-States, <=50K
+4926,29, Private,119170, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+4927,21, Private,207923, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+4928,48, State-gov,170142, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+4929,44, Self-emp-not-inc,187164, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,60, United-States, <=50K
+4930,34, Local-gov,303867, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+4931,19, Private,291429, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+4932,32, Private,213179, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K
+4933,31, State-gov,111843, Assoc-acdm,12, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+4934,25, Private,297154, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2407,0,40, United-States, <=50K
+4935,47, Federal-gov,68493, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+4936,46, Federal-gov,340718, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4937,18, Private,194059, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+4938,31, Private,47296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,20, United-States, <=50K
+4939,28, State-gov,286310, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+4940,38, Private,207202, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+4941,33, Self-emp-inc,132601, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4942,17, ?,139183, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+4943,41, Private,160785, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4944,46, Private,117849, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+4945,38, Local-gov,225605, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, <=50K
+4946,24, Private,190290, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+4947,49, Private,164799, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+4948,60, Federal-gov,21876, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+4949,44, Private,160785, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+4950,63, Self-emp-inc,272425, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+4951,40, Private,168538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+4952,45, Self-emp-inc,204205, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4953,49, Private,142287, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, United-States, >50K
+4954,36, Private,169926, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+4955,65, Local-gov,205024, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, United-States, <=50K
+4956,41, Private,374764, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,0,20, United-States, <=50K
+4957,25, Private,108779, Masters,14, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+4958,20, ?,293136, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+4959,60, Private,227332, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4960,17, Local-gov,246308, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, Puerto-Rico, <=50K
+4961,28, Private,51331, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,16, United-States, >50K
+4962,31, Private,153078, Assoc-acdm,12, Never-married, Craft-repair, Own-child, Other, Male,0,0,50, United-States, <=50K
+4963,47, Private,169180, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+4964,45, Self-emp-not-inc,193451, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+4965,51, Private,305147, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4966,23, Private,138892, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+4967,44, Self-emp-not-inc,402397, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,60, United-States, >50K
+4968,34, Private,223267, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K
+4969,19, Private,29250, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+4970,51, ?,203953, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+4971,46, State-gov,29696, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4972,30, Private,315640, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,40, China, >50K
+4973,37, Private,632613, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K
+4974,56, Private,282023, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+4975,29, Private,77760, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+4976,46, Self-emp-not-inc,148599, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+4977,55, Private,414994, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+4978,45, Private,339863, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,8614,0,48, United-States, >50K
+4979,34, Private,499249, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+4980,45, ?,144354, 9th,5, Separated, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+4981,41, Private,252058, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4982,22, ?,99543, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+4983,34, Private,117963, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+4984,27, Private,194652, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+4985,29, Private,299705, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,37, United-States, <=50K
+4986,19, Federal-gov,27433, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+4987,47, Local-gov,39986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+4988,43, Self-emp-inc,135342, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+4989,52, Private,270142, Assoc-voc,11, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K
+4990,33, Self-emp-not-inc,118267, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+4991,29, Private,266043, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+4992,23, Private,35633, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+4993,23, Private,74568, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+4994,39, Private,214816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+4995,43, Private,222971, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K
+4996,31, Private,259425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4997,47, Self-emp-inc,212120, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+4998,26, Private,245880, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K
+4999,58, Local-gov,54947, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+5000,47, Self-emp-inc,79627, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,50, United-States, >50K
+5001,55, Private,151474, Bachelors,13, Never-married, Tech-support, Other-relative, White, Female,0,1590,38, United-States, <=50K
+5002,26, Private,132661, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,5013,0,40, United-States, <=50K
+5003,28, Private,161674, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+5004,36, Private,62346, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+5005,40, Private,227236, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+5006,19, Private,283033, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5007,63, Self-emp-not-inc,298249, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K
+5008,42, Private,251229, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+5009,76, Private,199949, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,13, United-States, <=50K
+5010,23, State-gov,305498, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5011,38, Self-emp-not-inc,203836, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5012,33, State-gov,79440, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,30, Japan, <=50K
+5013,48, Local-gov,142719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5014,56, Private,119859, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, >50K
+5015,32, Private,141410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+5016,44, Local-gov,202872, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K
+5017,27, Private,198813, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+5018,33, Federal-gov,129707, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5019,22, Private,445758, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+5020,18, ?,30246, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+5021,44, Private,173981, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5022,42, Private,108506, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+5023,34, Private,134886, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5024,45, Federal-gov,181970, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1672,40, United-States, <=50K
+5025,57, Self-emp-inc,282913, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, <=50K
+5026,59, Local-gov,196013, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5027,33, Federal-gov,348491, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K
+5028,52, Private,416164, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,49, Mexico, <=50K
+5029,17, Private,121037, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+5030,29, Private,103111, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, Canada, <=50K
+5031,63, Self-emp-not-inc,147589, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+5032,20, Private,24008, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K
+5033,42, Self-emp-inc,123838, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+5034,50, Self-emp-not-inc,175456, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+5035,55, Private,84774, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,30, United-States, <=50K
+5036,27, Private,194590, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,25, United-States, <=50K
+5037,28, Private,134566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+5038,55, Private,211678, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+5039,44, Federal-gov,44822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5040,53, State-gov,144586, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5041,23, Private,119156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5042,25, Private,371987, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5043,44, State-gov,144125, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5044,55, Private,31905, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+5045,48, Self-emp-not-inc,121124, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+5046,46, Private,58126, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5047,26, Private,318518, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5048,30, Private,296509, 7th-8th,4, Separated, Farming-fishing, Not-in-family, White, Male,0,0,45, Mexico, <=50K
+5049,32, Private,473133, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5050,52, Private,155434, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+5051,52, Private,99185, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K
+5052,39, Private,56648, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,47, United-States, <=50K
+5053,57, Local-gov,118481, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+5054,21, Private,321666, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K
+5055,22, State-gov,119838, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+5056,26, Private,330695, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5057,26, State-gov,58039, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+5058,44, Private,313022, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+5059,42, Private,178134, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+5060,40, Private,165309, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K
+5061,22, Private,216181, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K
+5062,62, Private,178745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+5063,44, Private,111067, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5064,18, ?,163788, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+5065,33, Self-emp-not-inc,295591, 1st-4th,2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+5066,45, Private,123075, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+5067,18, Private,78045, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+5068,32, Local-gov,255004, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5069,33, Private,254221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K
+5070,20, Private,174714, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K
+5071,68, Self-emp-not-inc,450580, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+5072,61, Private,128230, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+5073,48, Private,192894, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5074,45, Private,325390, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5075,36, Self-emp-not-inc,20333, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,7688,0,40, United-States, >50K
+5076,32, Federal-gov,128714, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K
+5077,35, Private,170797, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5078,39, Private,269186, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5079,53, Private,127671, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5080,30, Private,211840, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,16, United-States, <=50K
+5081,37, Private,163392, HS-grad,9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+5082,40, Private,201495, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5083,25, Private,251854, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+5084,41, Private,279297, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,60, United-States, <=50K
+5085,52, Self-emp-not-inc,195462, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, >50K
+5086,33, Private,170769, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5087,28, Private,142443, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5088,25, Self-emp-not-inc,182809, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+5089,53, Private,121441, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+5090,44, Private,275094, 1st-4th,2, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+5091,35, Private,170263, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+5092,38, Private,172571, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,58, Poland, <=50K
+5093,34, Private,178615, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5094,33, Private,279524, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5095,24, State-gov,165201, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K
+5096,65, Local-gov,323006, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+5097,29, Private,235168, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+5098,39, Self-emp-inc,114844, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K
+5099,46, Local-gov,216414, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+5100,37, Private,34378, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,2580,0,60, United-States, <=50K
+5101,47, State-gov,80914, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,47, United-States, >50K
+5102,62, Private,73292, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+5103,54, Self-emp-not-inc,212165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+5104,90, Private,52386, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K
+5105,33, Private,205649, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K
+5106,57, Private,109638, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,45, United-States, <=50K
+5107,25, Private,200408, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5108,44, Self-emp-inc,187720, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+5109,52, Private,236180, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5110,21, Private,118693, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+5111,31, Private,363130, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,18, United-States, <=50K
+5112,39, Private,225544, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Poland, <=50K
+5113,59, Federal-gov,243612, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+5114,29, Self-emp-not-inc,160786, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+5115,49, Private,234320, 7th-8th,4, Never-married, Prof-specialty, Other-relative, Black, Male,0,0,45, United-States, <=50K
+5116,34, Private,314646, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5117,22, Private,124971, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5118,32, Private,209184, Bachelors,13, Married-civ-spouse, Sales, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K
+5119,39, State-gov,121838, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5120,46, Private,265275, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+5121,50, Private,71417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+5122,34, Private,45522, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5123,28, Local-gov,250135, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,55, United-States, <=50K
+5124,18, Private,120283, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+5125,20, Private,216972, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+5126,20, Private,116791, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+5127,55, State-gov,26290, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K
+5128,22, Private,216134, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+5129,60, Self-emp-not-inc,143932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+5130,40, Private,217120, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5131,47, State-gov,223944, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K
+5132,23, Private,185452, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, Canada, <=50K
+5133,57, Local-gov,44273, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5134,52, Private,178983, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+5135,42, Private,219288, 7th-8th,4, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+5136,25, Private,349190, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+5137,49, Self-emp-inc,158685, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2377,40, United-States, >50K
+5138,41, Federal-gov,57924, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+5139,40, State-gov,270324, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K
+5140,38, Private,33001, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+5141,58, Private,204021, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, Canada, <=50K
+5142,26, Private,192506, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+5143,57, Private,372967, 10th,6, Divorced, Adm-clerical, Other-relative, White, Female,0,0,70, Germany, <=50K
+5144,28, Private,273929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1628,60, United-States, <=50K
+5145,42, Private,195821, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+5146,28, Private,56179, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,55, United-States, <=50K
+5147,17, ?,127003, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+5148,39, Self-emp-not-inc,124090, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5149,28, Private,199600, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+5150,42, Private,255847, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, >50K
+5151,51, Self-emp-not-inc,218311, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K
+5152,27, Private,167336, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K
+5153,41, Private,59938, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K
+5154,28, Private,263728, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5155,54, Self-emp-not-inc,278230, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,10520,0,30, United-States, >50K
+5156,73, ?,180603, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K
+5157,49, Private,43910, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K
+5158,47, Private,190139, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5159,27, Private,109001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K
+5160,42, Local-gov,159931, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+5161,32, Private,194987, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+5162,32, Local-gov,87310, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,41, United-States, <=50K
+5163,27, Private,133937, Masters,14, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+5164,29, Private,207064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5165,22, Private,36011, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+5166,41, Federal-gov,168294, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K
+5167,49, Local-gov,194895, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K
+5168,58, Self-emp-not-inc,49884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+5169,41, Self-emp-not-inc,27305, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,40, United-States, >50K
+5170,26, Private,229977, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+5171,21, Private,64520, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+5172,32, ?,134886, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, >50K
+5173,37, Private,305379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+5174,23, Private,202284, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+5175,42, Self-emp-not-inc,99185, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5176,25, Private,159662, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Male,0,0,26, United-States, >50K
+5177,67, Private,197865, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5178,41, Local-gov,175149, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+5179,49, Local-gov,349633, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+5180,36, Private,135293, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,45, ?, <=50K
+5181,18, Private,242893, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+5182,25, Private,218667, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+5183,43, State-gov,144811, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5184,38, Private,146091, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999,0,36, United-States, >50K
+5185,21, Private,206861, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, ?, <=50K
+5186,65, Self-emp-not-inc,226215, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K
+5187,66, Private,114447, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+5188,33, Private,124187, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+5189,51, Private,147954, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3411,0,38, United-States, <=50K
+5190,27, Self-emp-inc,64379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+5191,17, Private,156501, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+5192,32, Private,207668, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+5193,61, ?,161279, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K
+5194,38, Private,225707, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, >50K
+5195,43, Local-gov,115603, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5196,40, State-gov,506329, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K
+5197,63, Private,275034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1740,35, United-States, <=50K
+5198,76, ?,172637, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K
+5199,42, Private,56483, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5200,43, Federal-gov,144778, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+5201,76, Self-emp-not-inc,33213, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, ?, >50K
+5202,41, Local-gov,297248, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K
+5203,17, Private,137042, 10th,6, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+5204,30, Self-emp-not-inc,33308, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5205,30, Private,158420, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, Iran, <=50K
+5206,22, Private,41763, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+5207,53, ?,220640, Bachelors,13, Divorced, ?, Other-relative, Other, Female,0,0,20, United-States, <=50K
+5208,28, Private,149734, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,52, United-States, <=50K
+5209,25, ?,262245, Assoc-voc,11, Never-married, ?, Own-child, White, Female,3418,0,40, United-States, <=50K
+5210,24, Private,349691, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K
+5211,47, Private,185385, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+5212,34, Self-emp-not-inc,174463, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5213,26, Private,236068, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K
+5214,63, ?,445168, Bachelors,13, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,56, United-States, <=50K
+5215,25, Private,91334, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K
+5216,28, Private,33895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5217,36, Private,214816, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5218,24, Private,229773, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5219,51, Self-emp-inc,166386, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,35, Taiwan, <=50K
+5220,44, Private,266135, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+5221,18, Private,300379, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K
+5222,54, Federal-gov,392502, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5223,61, Private,73809, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5224,51, Private,193720, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+5225,43, Private,316183, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5226,51, Private,162944, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5227,50, Local-gov,186888, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K
+5228,27, ?,330132, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+5229,24, Private,192017, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K
+5230,20, State-gov,161978, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+5231,52, Private,202930, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+5232,57, Local-gov,323309, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5233,49, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+5234,42, Self-emp-inc,204033, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, ?, <=50K
+5235,22, Private,271274, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5236,38, Private,174242, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+5237,21, Private,209483, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+5238,39, Federal-gov,99146, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,60, United-States, >50K
+5239,52, Self-emp-not-inc,102346, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K
+5240,25, Private,181666, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+5241,50, Private,207367, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, Cuba, <=50K
+5242,35, State-gov,82622, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K
+5243,50, Private,202296, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+5244,58, Private,142182, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+5245,48, Federal-gov,94342, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5246,30, Private,41493, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, Canada, <=50K
+5247,18, Private,181712, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+5248,29, Self-emp-not-inc,164607, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5249,52, Self-emp-not-inc,41496, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+5250,63, Private,143098, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+5251,36, Local-gov,196529, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+5252,24, Private,157332, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,42, United-States, <=50K
+5253,30, Local-gov,154935, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+5254,23, Private,223231, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K
+5255,35, ?,253860, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+5256,21, Private,362589, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+5257,28, Private,94880, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, Mexico, <=50K
+5258,20, Private,309580, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+5259,18, Private,130389, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, Scotland, <=50K
+5260,21, Private,349365, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+5261,27, Private,376936, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5262,42, Private,179557, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5263,21, Private,105577, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+5264,51, Private,224207, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+5265,27, Federal-gov,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5266,23, Self-emp-not-inc,191283, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+5267,57, Private,20953, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+5268,22, State-gov,186569, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,12, United-States, <=50K
+5269,59, Private,43221, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+5270,38, Private,161141, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5271,20, Private,203003, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+5272,90, Private,141758, 9th,5, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5273,35, Private,113322, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5274,50, Private,343847, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K
+5275,45, Private,214068, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+5276,44, Private,116632, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+5277,23, Private,240160, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+5278,34, Private,516337, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+5279,23, Self-emp-inc,284651, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,43, United-States, <=50K
+5280,39, State-gov,141420, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+5281,19, Private,42750, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, United-States, <=50K
+5282,54, Private,165278, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5283,40, Private,167265, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K
+5284,44, Private,139907, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+5285,31, Self-emp-inc,236415, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+5286,25, Private,312966, 9th,5, Separated, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+5287,33, Private,118941, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, >50K
+5288,32, Private,198068, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+5289,36, Private,373952, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5290,47, Self-emp-not-inc,236111, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,55, United-States, >50K
+5291,80, Private,157778, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K
+5292,21, Private,143604, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+5293,35, Self-emp-not-inc,319831, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+5294,77, ?,132728, Masters,14, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5295,30, Private,137606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K
+5296,35, ?,61343, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+5297,49, Private,268234, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+5298,33, Private,100135, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,25, United-States, <=50K
+5299,53, Self-emp-not-inc,34973, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+5300,41, Private,323790, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,55, United-States, <=50K
+5301,57, Private,319733, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K
+5302,21, ?,180339, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+5303,19, Private,125591, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+5304,28, Private,60772, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K
+5305,42, Federal-gov,74680, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Male,0,2001,60, United-States, <=50K
+5306,29, Self-emp-not-inc,141185, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+5307,38, ?,204668, Assoc-voc,11, Separated, ?, Unmarried, White, Female,0,0,25, United-States, <=50K
+5308,26, Private,273792, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+5309,41, Private,70037, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,3004,60, ?, >50K
+5310,40, Private,343068, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5311,36, Self-emp-not-inc,177907, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+5312,28, Private,144063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+5313,25, Self-emp-not-inc,257574, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+5314,42, Self-emp-not-inc,67065, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+5315,32, Private,183356, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5316,32, Private,152940, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+5317,37, Private,227128, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5318,39, Local-gov,45607, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K
+5319,49, Private,155489, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5320,28, ?,230704, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+5321,24, ?,267955, 9th,5, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+5322,19, Private,165115, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5323,31, Private,49923, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+5324,40, Private,272240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5325,29, Private,255476, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, Mexico, <=50K
+5326,59, Private,194290, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K
+5327,52, Private,145548, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+5328,27, Private,175262, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+5329,45, Local-gov,37306, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+5330,58, Private,137547, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+5331,53, Private,276515, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, Cuba, <=50K
+5332,23, Private,174626, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+5333,35, Private,215310, 11th,7, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+5334,49, Private,332355, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+5335,49, Private,204057, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5336,25, Private,391591, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5337,47, Private,169092, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K
+5338,28, Private,230743, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5339,20, Private,190963, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+5340,74, ?,204840, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,56, Mexico, <=50K
+5341,19, Private,169853, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,24, United-States, <=50K
+5342,28, Private,212091, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K
+5343,31, Private,202822, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5344,61, ?,226989, Some-college,10, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5345,30, Private,140011, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,53, United-States, <=50K
+5346,20, ?,432376, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Germany, <=50K
+5347,35, Private,90273, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, >50K
+5348,23, Private,224424, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+5349,25, Private,168943, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K
+5350,19, Private,571853, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+5351,30, Private,156464, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+5352,26, Private,108542, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+5353,34, Local-gov,194325, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+5354,49, Private,114797, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5355,35, Private,40135, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2042,40, United-States, <=50K
+5356,38, Private,204756, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+5357,36, Private,228190, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,20, United-States, <=50K
+5358,33, Private,163392, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, >50K
+5359,54, Private,138845, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5360,19, Local-gov,169853, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5361,18, Never-worked,206359, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+5362,60, Private,224097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5363,28, Self-emp-not-inc,160786, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5364,43, Self-emp-not-inc,190044, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5365,49, Local-gov,145290, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+5366,25, Private,120268, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,70, United-States, <=50K
+5367,17, Private,327434, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+5368,41, Self-emp-inc,218302, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+5369,30, Private,1184622, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, <=50K
+5370,90, Local-gov,227796, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,60, United-States, >50K
+5371,25, Private,206343, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K
+5372,27, Private,36851, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+5373,29, Private,148550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5374,55, Private,157079, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, >50K
+5375,31, Federal-gov,142470, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+5376,43, Private,86750, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K
+5377,63, Private,361631, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+5378,46, Private,163229, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+5379,59, Private,179594, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5380,42, Private,254773, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,50, United-States, >50K
+5381,26, Private,58065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+5382,26, Private,205428, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+5383,20, ?,41183, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+5384,19, ?,308064, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+5385,61, Private,173924, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Puerto-Rico, >50K
+5386,23, State-gov,142547, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+5387,24, Private,119704, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+5388,35, Private,275364, Bachelors,13, Divorced, Tech-support, Unmarried, White, Male,7430,0,40, Germany, >50K
+5389,42, Self-emp-not-inc,207392, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K
+5390,31, Private,147215, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K
+5391,31, Private,101562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,55, United-States, <=50K
+5392,63, Private,216413, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+5393,29, State-gov,188986, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1590,64, United-States, <=50K
+5394,43, State-gov,52849, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+5395,22, Private,304710, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,10, Vietnam, <=50K
+5396,17, Private,265657, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+5397,23, Self-emp-not-inc,258298, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,2231,40, United-States, >50K
+5398,35, Private,360814, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5399,32, Private,53260, HS-grad,9, Divorced, Other-service, Unmarried, Other, Female,0,0,28, United-States, <=50K
+5400,50, Self-emp-inc,127315, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+5401,25, Private,233777, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, ?, <=50K
+5402,26, Local-gov,197530, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5403,32, Private,340940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+5404,29, Private,88432, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+5405,57, Private,183810, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5406,90, Private,51744, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, >50K
+5407,35, Private,175614, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+5408,31, Self-emp-not-inc,235237, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K
+5409,60, Private,227266, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K
+5410,21, Private,146499, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,1579,40, United-States, <=50K
+5411,71, Local-gov,337064, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5412,22, Private,141003, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+5413,50, Local-gov,117791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5414,37, Private,172846, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+5415,23, Private,73514, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+5416,74, Private,211075, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+5417,67, Private,197816, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1844,70, United-States, <=50K
+5418,59, Private,43221, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K
+5419,28, Private,183780, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,40, United-States, <=50K
+5420,45, Private,26781, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+5421,63, Self-emp-not-inc,271550, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+5422,39, Private,250157, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,63, United-States, <=50K
+5423,33, State-gov,913447, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5424,32, Private,153078, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+5425,34, Private,181091, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+5426,39, Private,231491, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+5427,29, State-gov,95423, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K
+5428,22, Private,234663, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5429,53, Private,283602, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,13550,0,43, United-States, >50K
+5430,46, Private,328669, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+5431,51, Private,143741, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+5432,44, Private,83508, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,99, United-States, <=50K
+5433,56, State-gov,81954, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5434,27, Private,261375, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+5435,52, Private,310045, 9th,5, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,30, China, <=50K
+5436,39, Private,316211, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+5437,45, Federal-gov,88564, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+5438,37, Private,61299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+5439,33, Private,113364, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+5440,35, ?,476573, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K
+5441,46, Private,267107, 5th-6th,3, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, Italy, <=50K
+5442,35, Private,48123, 12th,8, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, <=50K
+5443,33, Private,214635, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K
+5444,48, Private,115585, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5445,32, Private,194141, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K
+5446,18, ?,23233, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+5447,20, Private,89991, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+5448,35, Private,101709, HS-grad,9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K
+5449,19, Private,237455, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K
+5450,21, Private,206492, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K
+5451,56, Private,28729, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5452,28, Private,153475, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, El-Salvador, <=50K
+5453,45, Private,275517, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+5454,32, Private,128002, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K
+5455,44, Private,175485, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,12, United-States, <=50K
+5456,55, Private,189664, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5457,34, Private,209808, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+5458,33, Private,176992, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5459,36, Private,154669, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K
+5460,25, Private,191271, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+5461,28, Private,375482, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5462,39, Private,102953, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,55, United-States, >50K
+5463,53, Private,169182, 10th,6, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K
+5464,47, Private,184005, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,3325,0,45, United-States, <=50K
+5465,49, Self-emp-inc,30751, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+5466,22, Private,145477, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+5467,31, Private,91964, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+5468,44, Self-emp-inc,49249, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,80, United-States, <=50K
+5469,19, Private,218956, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+5470,37, Self-emp-not-inc,241306, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5471,60, ?,251572, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,35, Poland, <=50K
+5472,23, Private,319842, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+5473,44, Private,332401, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K
+5474,54, Local-gov,182388, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+5475,23, Private,205939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+5476,21, Private,203914, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+5477,19, State-gov,156294, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K
+5478,51, Private,254211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, >50K
+5479,41, Private,151504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+5480,61, Private,85548, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,18, United-States, >50K
+5481,19, Self-emp-not-inc,30800, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+5482,22, Private,131230, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+5483,22, Private,61850, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5484,49, Private,227800, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, <=50K
+5485,35, Private,133454, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5486,38, Private,104094, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5487,29, Private,105422, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5488,56, Private,142182, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+5489,41, Private,336643, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,80, United-States, <=50K
+5490,62, Self-emp-inc,200577, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+5491,27, Private,208703, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Japan, <=50K
+5492,55, ?,193895, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, England, <=50K
+5493,25, Private,272428, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4416,0,42, United-States, <=50K
+5494,33, Private,56701, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,75, United-States, >50K
+5495,26, Private,288592, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5496,43, Private,266439, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5497,53, Federal-gov,276868, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+5498,43, Private,131435, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5499,56, Private,175127, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+5500,25, Private,277444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+5501,60, Private,63296, Masters,14, Divorced, Prof-specialty, Other-relative, Black, Male,0,0,40, United-States, <=50K
+5502,28, Private,96337, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5503,21, Private,221955, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K
+5504,40, Private,197923, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,2977,0,40, United-States, <=50K
+5505,29, Private,632593, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+5506,20, Private,205970, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K
+5507,25, Private,139730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K
+5508,18, Private,201901, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K
+5509,32, State-gov,230224, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+5510,27, Private,113464, 1st-4th,2, Never-married, Other-service, Own-child, Other, Male,0,0,35, Dominican-Republic, <=50K
+5511,48, Private,94461, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,16, United-States, <=50K
+5512,20, Private,271379, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+5513,55, Private,231738, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, England, <=50K
+5514,33, Local-gov,198183, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+5515,21, State-gov,140764, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+5516,43, Self-emp-not-inc,183479, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+5517,35, Private,165767, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5518,39, Local-gov,139364, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+5519,19, Private,227491, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+5520,25, Private,222254, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+5521,44, Private,193494, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, >50K
+5522,27, Private,29261, Assoc-acdm,12, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+5523,39, Private,174368, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+5524,69, Private,108196, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+5525,34, Private,110622, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+5526,20, ?,201680, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+5527,37, Private,130277, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+5528,43, Local-gov,98130, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,39, United-States, <=50K
+5529,62, ?,235521, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K
+5530,34, State-gov,595000, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K
+5531,31, Self-emp-not-inc,349148, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+5532,42, State-gov,117583, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,60, United-States, >50K
+5533,26, Private,164583, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+5534,39, Private,340091, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,75, United-States, <=50K
+5535,25, Private,49092, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+5536,54, Local-gov,186884, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K
+5537,44, State-gov,167265, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+5538,34, State-gov,34104, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,38, United-States, >50K
+5539,21, Self-emp-inc,265116, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5540,50, Private,128378, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, ?, <=50K
+5541,33, Private,158416, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5542,40, Self-emp-inc,169878, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+5543,44, Private,296728, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5544,33, Local-gov,342458, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K
+5545,21, Local-gov,38771, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+5546,35, Self-emp-not-inc,269300, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,60, United-States, <=50K
+5547,43, Private,111483, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+5548,57, ?,199114, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+5549,51, Local-gov,33863, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+5550,29, Private,132874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5551,51, Local-gov,277024, HS-grad,9, Separated, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+5552,35, Private,112160, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5553,18, Private,703067, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+5554,58, Private,127264, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+5555,57, Self-emp-inc,257200, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5556,19, Private,57206, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+5557,37, Private,201319, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+5558,38, Private,114079, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+5559,45, Private,230979, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5560,27, Private,292472, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K
+5561,64, ?,286732, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5562,38, Local-gov,134444, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, <=50K
+5563,30, Private,172403, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+5564,46, Private,191357, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+5565,18, ?,279288, 10th,6, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K
+5566,60, Private,389254, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+5567,30, Private,303867, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,44, United-States, <=50K
+5568,47, Private,164113, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, United-States, >50K
+5569,39, Private,111499, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5570,42, Private,266084, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K
+5571,27, Private,61580, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+5572,44, Private,231348, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5573,33, Private,164748, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+5574,54, Private,205337, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+5575,58, Self-emp-not-inc,54566, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+5576,45, Private,34419, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K
+5577,59, Private,116442, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+5578,29, Private,290740, Assoc-acdm,12, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K
+5579,27, Private,255582, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5580,44, Private,112517, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K
+5581,44, Private,169397, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5582,33, Private,172664, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+5583,27, Private,329005, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5584,33, Private,123253, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+5585,55, Private,81865, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5586,32, Self-emp-not-inc,173314, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,60, United-States, <=50K
+5587,31, Private,34572, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+5588,57, Self-emp-inc,159028, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+5589,30, Private,149184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+5590,78, ?,363134, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K
+5591,28, Private,308709, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+5592,30, Self-emp-not-inc,257295, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,2258,40, South, <=50K
+5593,29, Private,168479, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5594,66, Private,142501, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,3, United-States, <=50K
+5595,60, Private,338345, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+5596,31, Private,177675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+5597,26, Private,262617, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,2597,0,40, United-States, <=50K
+5598,24, Private,200997, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+5599,29, Private,176683, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+5600,44, Private,376072, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+5601,34, Local-gov,177675, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+5602,59, Private,348430, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K
+5603,23, Private,320451, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K
+5604,23, Private,38151, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, Philippines, <=50K
+5605,55, Local-gov,123382, Assoc-voc,11, Separated, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K
+5606,39, Self-emp-inc,151029, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5607,39, Private,484475, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+5608,57, Private,329792, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,75, United-States, <=50K
+5609,35, Private,148903, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+5610,39, Local-gov,301614, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K
+5611,47, Private,176319, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,38, United-States, >50K
+5612,53, State-gov,53197, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+5613,23, Private,291407, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K
+5614,35, Private,204527, Masters,14, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+5615,44, Private,476391, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5616,28, Private,224964, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+5617,26, Private,306225, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Poland, <=50K
+5618,23, Private,292023, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5619,32, Private,94041, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Ireland, <=50K
+5620,49, Self-emp-inc,187563, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+5621,36, Private,176101, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,2174,0,60, United-States, <=50K
+5622,36, Private,749105, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+5623,41, ?,230020, 5th-6th,3, Married-civ-spouse, ?, Husband, Other, Male,0,0,40, United-States, <=50K
+5624,21, Private,216070, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,46, United-States, >50K
+5625,54, Self-emp-not-inc,105010, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5626,43, Private,198203, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+5627,35, Local-gov,215419, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5628,31, Private,120460, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+5629,46, Private,199316, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+5630,46, Private,146919, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5631,56, Private,174744, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+5632,45, ?,189564, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,1, United-States, <=50K
+5633,21, Private,249957, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+5634,51, Private,146574, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+5635,47, State-gov,156417, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K
+5636,42, Private,236110, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+5637,19, Private,63363, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+5638,25, Private,190107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5639,37, Private,126569, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K
+5640,35, Private,176756, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+5641,40, Private,115161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+5642,57, Self-emp-not-inc,138892, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K
+5643,38, Private,256864, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+5644,48, Private,265083, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+5645,34, Private,249948, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K
+5646,46, Federal-gov,31141, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5647,30, Private,164190, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, ?, <=50K
+5648,45, State-gov,67544, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5649,32, Self-emp-not-inc,174789, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+5650,35, Private,199753, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K
+5651,62, Private,122246, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,8614,0,39, United-States, >50K
+5652,56, ?,188166, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+5653,50, Private,96586, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+5654,25, Private,189590, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5655,41, Private,140590, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,33, United-States, <=50K
+5656,35, Private,255702, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K
+5657,33, Private,260782, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, >50K
+5658,38, Private,169926, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K
+5659,37, State-gov,151322, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5660,56, Private,192869, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+5661,19, Private,93604, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,1602,32, United-States, <=50K
+5662,31, Private,86958, 9th,5, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+5663,53, Local-gov,228723, HS-grad,9, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,40, ?, >50K
+5664,33, Private,192644, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,35, Puerto-Rico, <=50K
+5665,72, Private,284080, 1st-4th,2, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+5666,54, Private,43269, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+5667,30, Private,190040, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5668,51, Private,306108, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+5669,30, Private,220148, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K
+5670,30, Private,381645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5671,32, Private,216361, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,16, United-States, <=50K
+5672,30, Private,213722, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+5673,35, Private,112271, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+5674,40, Private,208277, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,44, United-States, >50K
+5675,38, State-gov,352628, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5676,19, Private,129620, 10th,6, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K
+5677,32, Private,249550, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,44, United-States, <=50K
+5678,49, Private,178749, Masters,14, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5679,76, ?,173542, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+5680,60, Private,167670, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+5681,60, Private,81578, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5682,55, Private,160662, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K
+5683,41, Private,163322, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, ?, <=50K
+5684,24, Private,152189, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5685,53, Private,106176, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K
+5686,69, State-gov,159191, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,810,38, United-States, <=50K
+5687,71, ?,250263, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3432,0,30, United-States, <=50K
+5688,41, Private,78410, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+5689,32, Private,131379, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+5690,45, Private,166929, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5691,59, Private,380357, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5692,31, Private,79190, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+5693,40, Private,342164, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+5694,44, Private,182616, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+5695,63, Private,339473, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+5696,31, Local-gov,381153, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,56, United-States, >50K
+5697,51, Private,300816, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Male,0,0,20, United-States, <=50K
+5698,51, Private,240988, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+5699,23, Private,149224, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5700,49, Private,168216, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+5701,56, Private,286487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,45, United-States, <=50K
+5702,39, Private,305597, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5703,39, Self-emp-not-inc,109766, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+5704,30, Self-emp-not-inc,188798, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+5705,43, Self-emp-not-inc,240170, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K
+5706,31, Private,459465, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5707,44, Local-gov,162506, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+5708,43, Self-emp-not-inc,145441, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K
+5709,37, Federal-gov,129573, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, ?, >50K
+5710,41, Private,27444, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K
+5711,43, Private,195258, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+5712,47, State-gov,55272, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5713,38, Self-emp-not-inc,164526, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2824,45, United-States, >50K
+5714,46, Private,27802, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5715,19, State-gov,165289, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+5716,19, Private,274657, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Guatemala, <=50K
+5717,24, Private,317175, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+5718,39, Self-emp-inc,163237, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+5719,37, Private,170408, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K
+5720,28, ?,55950, Bachelors,13, Never-married, ?, Own-child, Black, Female,0,0,40, Germany, <=50K
+5721,40, Private,76625, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+5722,27, Private,366066, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+5723,22, Private,349368, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+5724,21, Private,286824, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+5725,32, Private,373263, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+5726,20, Private,161978, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+5727,45, Private,543922, Masters,14, Divorced, Transport-moving, Not-in-family, White, Male,14344,0,48, United-States, >50K
+5728,46, Local-gov,109089, Prof-school,15, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+5729,46, Private,110151, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+5730,26, Private,34110, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,44, United-States, <=50K
+5731,47, Self-emp-not-inc,118506, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K
+5732,22, Private,117789, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K
+5733,34, Self-emp-not-inc,353881, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+5734,49, Private,200471, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K
+5735,20, Private,258517, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+5736,28, Private,190367, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+5737,30, Private,174704, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+5738,23, Private,179413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5739,20, Private,329530, 9th,5, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, Mexico, <=50K
+5740,31, Private,273818, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Mexico, <=50K
+5741,46, Private,256522, 1st-4th,2, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K
+5742,42, Private,196001, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5743,60, Self-emp-not-inc,282660, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5744,30, Private,72630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5745,27, Private,50295, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+5746,20, Private,203240, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K
+5747,56, Self-emp-not-inc,172618, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+5748,41, Private,202168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+5749,61, Private,176839, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5750,47, Private,176140, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, >50K
+5751,60, Private,39952, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2228,0,37, United-States, <=50K
+5752,33, Private,292465, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+5753,40, ?,161285, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K
+5754,48, Private,355320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Canada, >50K
+5755,56, Private,182460, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+5756,50, Private,69345, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,55, United-States, >50K
+5757,57, Self-emp-not-inc,102058, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+5758,20, Private,165804, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,40, United-States, <=50K
+5759,46, Private,318259, Assoc-voc,11, Divorced, Tech-support, Other-relative, White, Female,0,0,36, United-States, <=50K
+5760,21, Private,117606, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5761,37, Private,170718, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+5762,42, Private,413297, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+5763,20, Private,190457, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+5764,54, Private,88278, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+5765,32, Local-gov,217296, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,4064,0,22, United-States, <=50K
+5766,62, ?,97231, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,1, United-States, <=50K
+5767,50, Private,123429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5768,49, Federal-gov,420282, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5769,48, Private,498325, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+5770,24, Private,248533, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K
+5771,46, Private,137354, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+5772,42, Private,272910, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5773,52, Self-emp-inc,206054, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5774,58, Local-gov,92141, Assoc-acdm,12, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+5775,37, Private,163199, Some-college,10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+5776,34, Private,195860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5777,26, Private,115717, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2051,40, United-States, <=50K
+5778,18, Private,120029, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K
+5779,33, Private,221762, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+5780,41, Private,342164, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+5781,21, Private,176356, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+5782,23, Private,133239, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5783,26, Federal-gov,169101, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+5784,33, Private,159442, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+5785,24, Private,174461, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K
+5786,43, Private,361280, 10th,6, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,42, China, <=50K
+5787,52, State-gov,447579, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, England, <=50K
+5788,27, ?,308995, Some-college,10, Divorced, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+5789,61, Private,248448, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+5790,35, Private,161141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5791,35, Private,212465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5792,45, Self-emp-inc,170871, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+5793,43, Local-gov,233865, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5794,51, Private,163052, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+5795,35, Private,348690, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+5796,47, Federal-gov,34845, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Germany, >50K
+5797,22, Private,206861, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+5798,49, Self-emp-inc,349230, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+5799,20, Private,130840, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+5800,19, Private,415354, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5801,27, Private,132191, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5802,42, Private,202466, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+5803,27, ?,224421, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+5804,23, Self-emp-not-inc,236804, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K
+5805,20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K
+5806,47, Private,102771, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+5807,17, Private,221403, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,18, United-States, <=50K
+5808,76, ?,211574, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,1, United-States, <=50K
+5809,39, Private,52645, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+5810,25, Private,276310, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+5811,31, Private,134613, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,43, United-States, <=50K
+5812,44, Private,215479, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,20, Haiti, <=50K
+5813,53, Private,266529, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+5814,34, Private,265807, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5815,45, Self-emp-not-inc,67716, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+5816,34, Private,178951, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+5817,35, Private,241126, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+5818,36, Private,176544, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+5819,45, Private,169180, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+5820,37, Self-emp-not-inc,282461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+5821,53, Private,157069, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+5822,35, Private,99357, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K
+5823,38, Self-emp-not-inc,414991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, ?, <=50K
+5824,65, Self-emp-inc,338316, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5825,49, Self-emp-not-inc,59612, 10th,6, Divorced, Farming-fishing, Unmarried, White, Male,0,0,70, United-States, <=50K
+5826,24, Private,220426, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5827,54, Private,115912, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5828,17, Private,27032, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+5829,19, Private,170720, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+5830,60, Private,183162, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5831,46, Private,192360, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+5832,78, ?,165694, Masters,14, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+5833,26, Private,128553, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+5834,58, Private,209423, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, Cuba, <=50K
+5835,37, Self-emp-not-inc,121510, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, <=50K
+5836,41, Private,93793, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+5837,30, Private,133602, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5838,19, Private,391329, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+5839,48, Private,96359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Greece, >50K
+5840,22, Private,203894, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Female,0,0,24, United-States, <=50K
+5841,50, Private,196193, Masters,14, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0,0,60, ?, <=50K
+5842,25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K
+5843,18, Private,50879, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,6, United-States, <=50K
+5844,21, Private,186849, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+5845,47, Private,201127, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+5846,33, Private,110998, HS-grad,9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K
+5847,39, Private,190466, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,2174,0,40, United-States, <=50K
+5848,67, Self-emp-not-inc,173935, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,8, United-States, >50K
+5849,19, Private,167140, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1602,24, United-States, <=50K
+5850,18, Private,110230, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,11, United-States, <=50K
+5851,36, Private,287658, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+5852,23, Private,224954, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K
+5853,25, ?,394820, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+5854,40, Private,37618, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+5855,73, Self-emp-not-inc,29306, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+5856,35, Private,37314, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+5857,31, Private,420749, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5858,20, Private,482732, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5859,20, Private,206215, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+5860,27, Private,101364, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+5861,66, Self-emp-inc,185369, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+5862,66, Private,216856, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+5863,64, Private,256019, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+5864,48, Private,348144, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,3325,0,53, United-States, <=50K
+5865,24, Private,190293, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5866,51, Self-emp-not-inc,25932, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+5867,25, Private,176729, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+5868,33, Private,166961, 11th,7, Separated, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+5869,50, Private,86373, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+5870,51, Private,320513, 7th-8th,4, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,50, Dominican-Republic, <=50K
+5871,34, State-gov,190290, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+5872,41, Local-gov,111891, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+5873,30, Self-emp-not-inc,45796, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5874,59, Private,108496, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,2907,0,40, United-States, <=50K
+5875,41, Self-emp-not-inc,120539, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K
+5876,36, Self-emp-not-inc,164526, Masters,14, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K
+5877,37, Private,323155, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, Mexico, <=50K
+5878,28, Private,65389, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+5879,19, Private,414871, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+5880,28, Private,161607, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+5881,62, Private,224953, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+5882,36, Private,261382, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K
+5883,58, Self-emp-not-inc,231818, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Greece, <=50K
+5884,42, Self-emp-inc,184018, HS-grad,9, Divorced, Sales, Unmarried, White, Male,1151,0,50, United-States, <=50K
+5885,43, Self-emp-inc,133060, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5886,29, Private,35032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5887,32, State-gov,304212, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5888,64, Local-gov,50442, 9th,5, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+5889,39, Private,146091, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+5890,26, Private,267431, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+5891,19, Private,121240, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+5892,21, Private,192572, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K
+5893,32, Private,211028, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5894,30, Local-gov,346122, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,5013,0,45, United-States, <=50K
+5895,26, Private,202203, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,50, United-States, <=50K
+5896,20, Private,159297, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K
+5897,19, Private,310158, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+5898,33, Federal-gov,193246, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K
+5899,23, Private,200089, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+5900,29, Private,38353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+5901,42, Private,76280, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+5902,30, Self-emp-not-inc,243665, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+5903,63, Private,68872, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+5904,34, Private,103596, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+5905,60, Self-emp-not-inc,88055, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K
+5906,48, Private,186203, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+5907,25, Private,257910, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5908,27, Private,200227, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+5909,55, Self-emp-not-inc,124975, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,27828,0,55, United-States, >50K
+5910,32, Private,227669, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+5911,22, Private,117210, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Greece, <=50K
+5912,25, Private,76144, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5913,18, Private,98667, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+5914,24, Local-gov,155818, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,44, United-States, <=50K
+5915,29, Private,283760, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5916,73, ?,281907, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K
+5917,39, Private,186183, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+5918,33, Self-emp-inc,202153, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5919,57, Private,365683, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, >50K
+5920,22, Private,187538, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+5921,33, ?,209432, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+5922,33, Private,126950, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+5923,42, Private,110028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5924,43, Private,104660, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K
+5925,57, Self-emp-not-inc,437281, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K
+5926,42, Private,259643, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+5927,22, Private,217961, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,1719,30, United-States, <=50K
+5928,21, ?,134746, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+5929,42, Self-emp-not-inc,120539, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+5930,39, Private,25803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+5931,41, Private,63596, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K
+5932,20, Local-gov,325493, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+5933,47, Private,211239, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5934,44, Private,206686, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5935,29, Private,427965, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+5936,52, Private,218550, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,14084,0,16, United-States, >50K
+5937,71, Private,163385, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,35, United-States, >50K
+5938,52, Private,124993, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K
+5939,36, Private,107410, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+5940,53, Private,152373, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, >50K
+5941,37, Private,161226, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K
+5942,26, Private,213799, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5943,34, Private,204461, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+5944,35, Private,377798, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+5945,20, Private,116375, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+5946,34, Local-gov,210164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+5947,56, Self-emp-not-inc,258752, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+5948,39, Private,327435, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K
+5949,24, Private,301199, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K
+5950,24, Private,186221, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+5951,23, Private,203924, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5952,27, Private,192236, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5953,25, Private,152035, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+5954,29, Private,201454, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5955,42, Private,156580, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, United-States, >50K
+5956,51, Private,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5957,31, Private,106753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+5958,59, Private,359292, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+5959,29, Private,83003, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+5960,18, Private,78817, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+5961,24, Private,200967, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,36, United-States, <=50K
+5962,38, State-gov,107164, Some-college,10, Separated, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+5963,36, Private,189674, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,28, ?, <=50K
+5964,34, Self-emp-not-inc,90614, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+5965,42, Self-emp-not-inc,323790, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,70, United-States, >50K
+5966,45, Self-emp-not-inc,242552, 12th,8, Divorced, Craft-repair, Other-relative, Black, Male,0,0,35, United-States, <=50K
+5967,21, Private,90935, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+5968,64, Self-emp-inc,165667, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, Canada, >50K
+5969,32, Private,162604, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K
+5970,45, Private,205424, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+5971,53, Private,97411, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K
+5972,42, Private,184857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K
+5973,32, Private,165226, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5974,49, Private,115784, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5975,62, Private,368476, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, Mexico, <=50K
+5976,28, Private,53063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+5977,29, ?,134566, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+5978,32, Private,153471, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K
+5979,37, Self-emp-inc,107164, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,2559,50, United-States, >50K
+5980,38, Private,180303, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K
+5981,44, Local-gov,236321, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K
+5982,19, Private,141868, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+5983,22, ?,367655, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+5984,24, Private,203518, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5985,58, Private,119558, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+5986,56, Private,108276, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+5987,37, Private,385452, 10th,6, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+5988,43, Private,162003, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+5989,32, Private,349028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+5990,34, Private,45114, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+5991,44, Private,112797, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K
+5992,28, Private,183639, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+5993,35, Private,177121, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+5994,38, Private,239755, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+5995,26, Private,150361, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+5996,20, Private,293091, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+5997,24, Private,200089, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Mexico, >50K
+5998,40, Private,91836, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+5999,23, Private,324960, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+6000,79, Local-gov,84616, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,7, United-States, <=50K
+6001,44, Private,252930, 10th,6, Divorced, Adm-clerical, Unmarried, Other, Female,0,0,42, United-States, <=50K
+6002,51, Private,44000, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,50, United-States, >50K
+6003,30, Private,154843, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6004,52, Private,99307, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,3103,0,48, United-States, >50K
+6005,41, Private,182567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+6006,33, Private,93206, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+6007,50, Private,100109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K
+6008,51, Private,114927, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K
+6009,41, Private,121287, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6010,35, Private,189916, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, >50K
+6011,34, Private,157747, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+6012,28, Private,39232, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6013,31, Self-emp-inc,133861, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6014,22, Private,505980, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+6015,67, ?,183374, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2329,0,15, United-States, <=50K
+6016,65, Private,193216, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,9386,0,40, United-States, >50K
+6017,39, Self-emp-not-inc,140752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6018,23, Private,549349, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+6019,29, Self-emp-not-inc,179008, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+6020,57, Self-emp-not-inc,190554, 10th,6, Divorced, Exec-managerial, Own-child, White, Male,0,0,60, United-States, >50K
+6021,47, Private,80924, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+6022,51, Local-gov,319054, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K
+6023,34, Private,297094, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+6024,52, Private,170562, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+6025,29, Private,240738, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6026,29, Private,297544, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6027,25, Local-gov,169905, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+6028,21, Private,149637, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6029,38, Private,182526, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6030,55, Self-emp-not-inc,158315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6031,61, Self-emp-inc,227232, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+6032,34, Private,96483, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,8614,0,60, United-States, >50K
+6033,41, Private,286970, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6034,27, Local-gov,223529, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,43, United-States, <=50K
+6035,78, Self-emp-not-inc,316261, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,99999,0,20, United-States, >50K
+6036,40, Private,170214, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+6037,26, Self-emp-not-inc,224361, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K
+6038,43, Private,124919, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K
+6039,55, ?,103654, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+6040,25, Private,306352, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, <=50K
+6041,26, Self-emp-not-inc,227858, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K
+6042,43, Self-emp-inc,150533, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K
+6043,25, Private,144478, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, Poland, <=50K
+6044,22, Private,254547, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,30, Jamaica, <=50K
+6045,52, Self-emp-not-inc,313243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+6046,61, Private,149981, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,2414,0,5, United-States, <=50K
+6047,42, Private,125461, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+6048,21, Private,306967, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6049,44, Private,192976, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+6050,65, Private,192133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,40, Greece, <=50K
+6051,56, ?,131608, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K
+6052,33, Federal-gov,339388, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+6053,22, Private,203240, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6054,43, Private,83827, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,24, United-States, <=50K
+6055,45, Self-emp-inc,160440, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K
+6056,42, Private,108502, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K
+6057,37, Private,410913, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male,0,0,40, Mexico, <=50K
+6058,56, Private,193818, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6059,35, ?,163582, 10th,6, Divorced, ?, Unmarried, White, Female,0,0,16, ?, <=50K
+6060,40, Private,103789, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,32, United-States, <=50K
+6061,31, Private,34572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+6062,26, Private,43408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+6063,26, State-gov,105787, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+6064,42, Self-emp-inc,90693, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+6065,45, Self-emp-not-inc,285575, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+6066,47, Local-gov,56482, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,50, United-States, >50K
+6067,22, Private,496025, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+6068,33, Private,382764, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+6069,37, Private,259284, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+6070,48, Self-emp-not-inc,185385, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, <=50K
+6071,57, Self-emp-not-inc,286836, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K
+6072,47, Private,139145, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+6073,58, Local-gov,44246, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6074,55, Private,169611, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6075,52, Private,133403, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+6076,29, Private,187327, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6077,42, Private,180032, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6078,23, Private,46561, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+6079,23, Private,86065, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+6080,46, Self-emp-not-inc,256014, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+6081,30, Private,188403, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6082,43, Self-emp-not-inc,396758, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,70, United-States, >50K
+6083,25, Private,60485, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+6084,32, Private,271276, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K
+6085,56, Private,229525, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+6086,33, Private,34574, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K
+6087,19, State-gov,112432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K
+6088,20, Private,105312, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K
+6089,34, Private,221396, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6090,34, Private,304872, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+6091,55, Self-emp-not-inc,319733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6092,55, Private,176012, 9th,5, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,23, United-States, <=50K
+6093,31, Private,213750, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6094,30, Private,248384, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+6095,31, Private,351187, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+6096,51, Private,138179, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+6097,59, Private,50223, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6098,58, Private,117477, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K
+6099,40, Private,194360, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+6100,54, Private,118108, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+6101,25, Local-gov,90730, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+6102,18, Self-emp-inc,38307, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K
+6103,41, Private,116391, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6104,57, Private,210496, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+6105,37, Private,168475, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6106,46, Private,174386, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K
+6107,39, Private,166744, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K
+6108,19, Private,375114, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6109,41, Private,373469, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6110,54, Private,339667, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,41, United-States, <=50K
+6111,39, Private,91711, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6112,41, Private,82049, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6113,26, Private,236242, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+6114,57, Self-emp-inc,140319, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+6115,33, Local-gov,34080, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+6116,56, Private,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6117,60, Private,187124, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6118,22, Private,72310, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+6119,58, Private,175127, 12th,8, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+6120,48, Federal-gov,205707, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K
+6121,45, Local-gov,236586, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K
+6122,18, Private,71792, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+6123,56, Private,87584, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+6124,48, Self-emp-inc,136878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+6125,40, Private,287983, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,2258,48, Philippines, <=50K
+6126,38, Private,110607, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+6127,58, Private,109015, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6128,23, Private,235071, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K
+6129,63, Private,88653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+6130,51, Private,332243, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6131,22, ?,291547, 5th-6th,3, Married-civ-spouse, ?, Wife, Other, Female,0,0,40, Mexico, <=50K
+6132,44, Private,45093, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+6133,46, Federal-gov,161337, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6134,64, State-gov,211222, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6135,32, Private,295117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, England, >50K
+6136,31, Private,206541, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6137,36, Private,238415, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6138,21, Private,29810, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+6139,30, Private,108023, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6140,31, Private,114324, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6141,54, Private,172281, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,50, United-States, <=50K
+6142,59, Local-gov,197290, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+6143,28, Local-gov,191177, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+6144,57, Private,562558, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6145,44, Private,79531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+6146,53, Self-emp-inc,157881, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+6147,58, Self-emp-not-inc,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+6148,19, Private,185695, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+6149,39, Self-emp-inc,167482, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6150,31, Self-emp-inc,83748, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,70, South, <=50K
+6151,27, Private,39232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6152,46, Local-gov,236827, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+6153,37, Self-emp-not-inc,154410, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6154,27, Private,135308, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6155,33, Private,204042, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+6156,20, Private,308239, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+6157,55, Private,183884, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6158,39, Private,98948, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6159,41, Private,141642, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6160,30, Private,162623, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6161,39, Self-emp-inc,186934, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6162,28, Private,179512, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+6163,25, Private,391192, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K
+6164,31, Private,87054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+6165,51, Private,30008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+6166,24, Private,113466, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+6167,70, Private,642830, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K
+6168,23, Private,182117, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+6169,61, Private,162432, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6170,45, Self-emp-not-inc,242184, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+6171,47, Private,170850, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4064,0,60, United-States, <=50K
+6172,56, Private,435022, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+6173,79, Private,120707, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, El-Salvador, >50K
+6174,20, Private,170800, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+6175,30, Private,268575, HS-grad,9, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+6176,27, Private,269354, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, ?, <=50K
+6177,40, Private,224232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6178,60, ?,153072, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K
+6179,58, Private,177368, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6180,71, Self-emp-not-inc,163293, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,2, United-States, <=50K
+6181,50, Private,178530, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+6182,29, Local-gov,183523, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Iran, <=50K
+6183,33, Private,207267, 10th,6, Separated, Other-service, Unmarried, White, Female,3418,0,35, United-States, <=50K
+6184,60, State-gov,27037, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+6185,33, Private,176711, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+6186,43, Private,163215, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, ?, >50K
+6187,33, Private,394727, 10th,6, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K
+6188,33, Private,195488, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,52, United-States, <=50K
+6189,32, State-gov,443546, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K
+6190,21, Private,121023, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K
+6191,38, Private,51838, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+6192,38, Private,258888, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+6193,39, State-gov,189385, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,30, United-States, <=50K
+6194,17, Private,198146, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+6195,21, Private,337766, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6196,42, Private,210525, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K
+6197,42, Private,185602, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+6198,36, Private,173804, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6199,32, Private,251243, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+6200,37, Self-emp-not-inc,415847, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6201,28, Private,119793, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6202,37, Private,181705, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6203,50, Private,182360, HS-grad,9, Separated, Prof-specialty, Unmarried, Other, Female,0,0,60, Puerto-Rico, <=50K
+6204,49, Private,61885, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6205,40, Private,146520, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6206,40, Private,323790, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+6207,49, Private,146268, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6208,35, Federal-gov,287031, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K
+6209,33, Local-gov,292217, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K
+6210,24, Private,88126, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6211,41, Private,143046, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6212,43, Private,401623, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, Jamaica, >50K
+6213,36, Self-emp-not-inc,283122, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,60, United-States, >50K
+6214,84, Self-emp-not-inc,155057, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+6215,23, Private,260254, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+6216,41, Private,152292, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+6217,55, Self-emp-inc,138594, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+6218,30, Self-emp-not-inc,523095, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6219,46, Private,175262, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+6220,55, Private,323706, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+6221,34, Private,316470, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6222,54, Self-emp-not-inc,163815, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+6223,27, Private,72208, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+6224,52, Local-gov,74784, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+6225,36, Private,383518, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,99999,0,40, United-States, >50K
+6226,25, Self-emp-not-inc,266668, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6227,52, Private,347519, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+6228,24, Private,336088, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, <=50K
+6229,36, Private,190350, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6230,31, Private,204052, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+6231,66, ?,31362, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+6232,90, Self-emp-not-inc,155981, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,10566,0,50, United-States, <=50K
+6233,67, Private,195161, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, United-States, >50K
+6234,22, Self-emp-inc,269583, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K
+6235,47, Private,26994, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+6236,32, Private,116539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,55, United-States, >50K
+6237,55, Self-emp-not-inc,189933, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+6238,32, Private,101283, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K
+6239,48, Private,113598, Some-college,10, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K
+6240,21, Private,188793, HS-grad,9, Married-civ-spouse, Sales, Husband, Other, Male,0,0,35, United-States, <=50K
+6241,33, Private,109996, Assoc-acdm,12, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+6242,27, Private,195681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, ?, <=50K
+6243,47, Private,436770, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6244,18, Private,84253, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+6245,44, Self-emp-inc,383493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+6246,23, Private,216867, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,37, Mexico, <=50K
+6247,18, Private,401051, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+6248,56, Private,83196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+6249,24, Private,325596, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+6250,43, Private,187322, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6251,23, Private,193949, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K
+6252,26, Private,133373, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K
+6253,42, Private,113324, HS-grad,9, Widowed, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+6254,23, Private,178818, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6255,53, Self-emp-not-inc,152810, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6256,51, Private,335997, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,55, United-States, >50K
+6257,40, Private,436493, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+6258,27, Private,704108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+6259,24, Local-gov,150084, Some-college,10, Separated, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K
+6260,42, Private,341204, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K
+6261,41, Private,187336, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6262,23, Private,204209, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+6263,42, Self-emp-not-inc,206066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K
+6264,38, Private,63509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6265,63, Self-emp-not-inc,391121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+6266,31, Private,56026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6267,18, Self-emp-not-inc,60981, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K
+6268,21, Private,228255, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+6269,24, Private,86745, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+6270,55, Private,234327, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6271,20, Private,59948, 9th,5, Never-married, Adm-clerical, Unmarried, Black, Female,114,0,20, United-States, <=50K
+6272,31, Private,137814, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+6273,23, Private,167692, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+6274,35, Private,245090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+6275,51, Self-emp-not-inc,256963, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+6276,19, Private,160033, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,30, United-States, <=50K
+6277,38, Local-gov,289430, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K
+6278,52, Local-gov,305053, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K
+6279,70, Self-emp-not-inc,172370, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K
+6280,53, Private,320510, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6281,59, Private,171355, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6282,39, Private,65027, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K
+6283,18, Private,215190, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+6284,41, ?,149385, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+6285,19, ?,169324, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K
+6286,24, Private,138938, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6287,25, Private,557082, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+6288,32, Private,273287, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K
+6289,34, Self-emp-not-inc,77209, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K
+6290,35, Private,317153, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6291,50, Private,95469, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,45, United-States, >50K
+6292,18, Private,302859, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+6293,37, Private,333651, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K
+6294,30, Private,177596, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+6295,40, Self-emp-inc,157240, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,30, Iran, >50K
+6296,22, Private,184779, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6297,50, Local-gov,138358, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K
+6298,70, Private,176285, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,23, United-States, <=50K
+6299,43, Private,102180, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6300,77, Self-emp-not-inc,209507, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6301,30, Self-emp-not-inc,229741, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6302,33, Private,324546, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K
+6303,51, Private,337195, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,50, United-States, >50K
+6304,58, State-gov,194068, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+6305,22, Private,250647, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K
+6306,33, Private,477106, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+6307,27, Private,104329, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+6308,35, Private,224566, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+6309,32, Private,169841, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K
+6310,41, Private,42563, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,25, United-States, >50K
+6311,37, Private,31368, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6312,17, Private,132755, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+6313,50, Private,279129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+6314,31, ?,86143, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+6315,54, State-gov,44172, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K
+6316,23, State-gov,93076, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+6317,40, Private,146653, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+6318,29, Private,221366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, Germany, <=50K
+6319,38, Private,189404, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, ?, <=50K
+6320,30, Private,172304, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+6321,20, Private,116666, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,8, India, <=50K
+6322,43, Self-emp-not-inc,64112, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+6323,25, Private,55718, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,25, United-States, <=50K
+6324,39, Private,126675, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6325,48, Private,102112, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+6326,41, Self-emp-not-inc,226505, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+6327,24, Private,211527, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+6328,20, Private,175069, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Yugoslavia, <=50K
+6329,25, Private,25249, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6330,57, Private,73411, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6331,39, Private,207185, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, Puerto-Rico, >50K
+6332,66, Private,127139, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6333,34, Private,41809, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6334,36, Private,297449, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K
+6335,46, Private,141483, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+6336,42, Local-gov,117227, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+6337,46, Private,377401, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,70, Canada, >50K
+6338,34, Local-gov,167063, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+6339,43, Private,253759, Some-college,10, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K
+6340,42, Private,183096, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+6341,31, Private,269654, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+6342,70, ?,293076, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+6343,32, Private,34104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+6344,46, Federal-gov,80057, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Germany, >50K
+6345,42, Self-emp-inc,369781, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,0,25, United-States, <=50K
+6346,21, Private,223811, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+6347,24, Private,163053, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6348,23, Private,189461, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K
+6349,50, Local-gov,145166, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+6350,37, Private,86310, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+6351,19, ?,263224, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,30, United-States, <=50K
+6352,44, Federal-gov,280362, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6353,29, Private,301031, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+6354,30, Private,74966, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, United-States, <=50K
+6355,36, Private,254493, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+6356,49, Self-emp-not-inc,204241, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6357,29, Private,225024, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6358,45, Local-gov,148222, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6359,75, State-gov,113868, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,20, United-States, >50K
+6360,42, Private,132633, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, ?, <=50K
+6361,37, Private,44780, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6362,51, Private,86373, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,25, United-States, <=50K
+6363,61, Local-gov,176753, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K
+6364,33, Private,164707, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Female,2174,0,55, ?, <=50K
+6365,50, Local-gov,370733, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+6366,59, Private,216851, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6367,25, Private,137951, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+6368,22, Private,185279, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+6369,56, Private,159724, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+6370,44, Private,103233, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+6371,35, Private,63509, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+6372,57, Private,174353, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6373,47, Self-emp-not-inc,168109, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,50, United-States, >50K
+6374,27, Private,159724, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6375,50, Self-emp-not-inc,105010, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2051,20, United-States, <=50K
+6376,30, Private,179112, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, ?, <=50K
+6377,46, Private,364913, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+6378,48, Self-emp-inc,155664, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+6379,61, Private,230568, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+6380,33, Private,86492, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,87, United-States, <=50K
+6381,40, Private,71305, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+6382,58, Self-emp-inc,189933, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+6383,46, Self-emp-inc,191978, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,50, United-States, >50K
+6384,35, Private,38948, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6385,51, Self-emp-inc,139127, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+6386,37, Private,301568, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+6387,64, Private,149044, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2057,60, China, <=50K
+6388,41, Private,197344, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K
+6389,18, Private,32244, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,30, United-States, <=50K
+6390,44, Self-emp-not-inc,315406, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,88, United-States, <=50K
+6391,41, State-gov,47170, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,48, United-States, >50K
+6392,33, State-gov,208785, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K
+6393,37, Private,196338, 9th,5, Separated, Priv-house-serv, Unmarried, White, Female,0,0,16, Mexico, <=50K
+6394,34, Private,269243, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+6395,24, Federal-gov,215115, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, ?, <=50K
+6396,20, Private,117767, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+6397,38, Private,176101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+6398,28, Private,138283, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6399,20, Self-emp-not-inc,132320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K
+6400,22, Federal-gov,471452, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,8, United-States, <=50K
+6401,55, Private,147653, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,73, United-States, <=50K
+6402,20, Private,49179, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+6403,26, Private,174921, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6404,20, Self-emp-inc,95997, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K
+6405,40, Private,247245, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6406,33, Private,67072, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6407,54, ?,95329, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+6408,24, Private,107882, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6409,25, Private,241825, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,46, United-States, <=50K
+6410,18, Private,79443, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K
+6411,49, Self-emp-not-inc,233059, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+6412,17, Private,226980, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K
+6413,34, Self-emp-not-inc,181087, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+6414,37, Private,305597, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+6415,49, Federal-gov,311671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6416,74, Private,129879, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,15831,0,40, United-States, >50K
+6417,37, Private,83375, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6418,20, Private,115824, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1573,40, United-States, <=50K
+6419,40, Private,141657, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K
+6420,34, Private,50276, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K
+6421,30, Private,177216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1740,40, Haiti, <=50K
+6422,44, Private,228057, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K
+6423,40, Private,222848, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K
+6424,58, Private,121111, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Greece, <=50K
+6425,44, Private,298885, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6426,42, Private,149909, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K
+6427,39, Private,387430, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,18, United-States, <=50K
+6428,19, Private,121972, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+6429,41, Private,280167, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,70, United-States, >50K
+6430,29, State-gov,191355, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6431,34, Federal-gov,112115, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+6432,38, ?,104094, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+6433,27, Private,211032, Preschool,1, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,41310,0,24, Mexico, <=50K
+6434,54, Private,199307, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K
+6435,40, Private,205175, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,37, United-States, <=50K
+6436,19, Private,257750, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K
+6437,17, Private,191260, 11th,7, Never-married, Other-service, Own-child, White, Male,594,0,10, United-States, <=50K
+6438,33, Private,342730, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K
+6439,80, Private,249983, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+6440,24, Self-emp-not-inc,161508, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+6441,28, Private,338376, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+6442,55, Private,334308, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K
+6443,21, Private,133471, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+6444,51, Private,129177, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+6445,19, Private,178811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+6446,42, Private,178537, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+6447,60, Self-emp-not-inc,235535, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+6448,20, ?,298155, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+6449,51, Private,145114, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6450,21, Private,194096, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+6451,37, State-gov,191779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6452,26, Private,159732, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K
+6453,42, Federal-gov,170230, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,60, United-States, >50K
+6454,40, Private,104719, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+6455,55, Private,163083, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6456,33, Private,403552, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,32, United-States, <=50K
+6457,62, Private,218009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,60, United-States, >50K
+6458,47, Private,179313, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+6459,26, Private,51961, 12th,8, Never-married, Sales, Other-relative, Black, Male,0,0,51, United-States, <=50K
+6460,59, Private,426001, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K
+6461,70, Local-gov,176493, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K
+6462,26, Private,124068, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+6463,47, Private,108510, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+6464,25, Private,181528, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K
+6465,52, Self-emp-inc,173754, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+6466,46, Private,169699, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6467,67, Private,126849, 10th,6, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K
+6468,34, Private,204470, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6469,53, State-gov,116367, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,4650,0,40, United-States, <=50K
+6470,22, Private,117363, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+6471,39, Local-gov,106297, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,42, United-States, <=50K
+6472,54, Self-emp-not-inc,108933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+6473,24, Private,190143, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+6474,37, Private,246677, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+6475,38, Private,175360, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,2559,90, United-States, >50K
+6476,41, Local-gov,210259, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6477,36, Private,166304, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,33, United-States, <=50K
+6478,43, Private,303051, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+6479,39, Private,49308, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6480,26, Private,192262, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+6481,49, Local-gov,192349, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K
+6482,37, Self-emp-not-inc,48063, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+6483,43, Private,170214, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6484,54, Federal-gov,51048, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6485,53, Self-emp-inc,246562, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, >50K
+6486,57, Local-gov,215175, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+6487,28, Private,114967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6488,29, Private,464536, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+6489,21, Private,451996, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+6490,51, Private,138852, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6491,46, State-gov,353012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6492,50, Self-emp-inc,321822, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K
+6493,50, Self-emp-not-inc,324506, HS-grad,9, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,48, South, <=50K
+6494,36, Private,162256, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+6495,31, Local-gov,356689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+6496,20, Private,260199, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+6497,36, Private,103605, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+6498,38, Private,316211, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+6499,37, Private,308691, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+6500,39, Private,194404, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+6501,18, Private,334427, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,36, United-States, <=50K
+6502,33, Private,213226, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+6503,35, Private,342824, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,1151,0,40, United-States, <=50K
+6504,23, Private,33105, Some-college,10, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+6505,37, Private,147638, Bachelors,13, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K
+6506,25, Private,315643, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+6507,51, Federal-gov,106257, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K
+6508,35, Private,342768, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6509,54, Private,108960, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6510,66, ?,168071, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+6511,32, Private,136935, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,13, United-States, <=50K
+6512,37, Self-emp-not-inc,188774, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, >50K
+6513,29, Private,280344, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6514,45, Private,202496, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,37, United-States, <=50K
+6515,61, Self-emp-inc,134768, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+6516,40, Private,175686, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6517,24, Private,194748, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,49, United-States, <=50K
+6518,49, Private,61307, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,38, United-States, <=50K
+6519,51, Self-emp-not-inc,165001, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,25236,0,50, United-States, >50K
+6520,34, Private,325658, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6521,28, ?,201844, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K
+6522,20, Private,505980, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+6523,30, Private,185336, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K
+6524,49, Self-emp-inc,362795, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,99999,0,80, Mexico, >50K
+6525,26, Private,126829, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6526,63, Private,264600, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+6527,36, Private,82743, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, Iran, <=50K
+6528,63, Self-emp-not-inc,125178, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6529,22, Private,128487, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K
+6530,40, Private,321758, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6531,31, Private,128220, 7th-8th,4, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+6532,49, Private,176814, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Canada, <=50K
+6533,35, Private,188069, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,55, ?, >50K
+6534,23, State-gov,156423, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+6535,25, Private,169905, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K
+6536,34, ?,157289, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+6537,28, Private,176972, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+6538,44, Self-emp-not-inc,171424, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,2205,35, United-States, <=50K
+6539,33, Private,91811, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6540,21, Private,203924, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2597,0,45, United-States, <=50K
+6541,55, Private,177484, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,1672,40, United-States, <=50K
+6542,17, ?,454614, 11th,7, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K
+6543,75, Self-emp-not-inc,242108, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2346,0,15, United-States, <=50K
+6544,61, Private,132972, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+6545,53, Private,157947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6546,26, Local-gov,177482, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K
+6547,48, Private,246891, Some-college,10, Widowed, Sales, Unmarried, White, Male,0,0,50, United-States, >50K
+6548,28, State-gov,158834, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6549,30, ?,203834, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Taiwan, <=50K
+6550,29, Private,110442, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+6551,25, Private,240676, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+6552,37, Private,192939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6553,43, Local-gov,260696, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K
+6554,40, Local-gov,55363, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6555,34, Private,144949, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+6556,55, Private,116878, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,30, United-States, >50K
+6557,31, Local-gov,357954, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,20, United-States, <=50K
+6558,21, ?,170038, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+6559,32, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Italy, <=50K
+6560,26, State-gov,203279, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2463,0,50, India, <=50K
+6561,26, Private,167761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+6562,44, Private,138845, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6563,49, Private,144844, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K
+6564,21, ?,161930, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,1504,30, United-States, <=50K
+6565,26, Private,55743, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K
+6566,40, Self-emp-not-inc,117721, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+6567,19, Self-emp-not-inc,116385, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6568,58, Private,301867, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+6569,61, Private,238913, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+6570,28, Self-emp-not-inc,123983, Some-college,10, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male,0,0,63, South, <=50K
+6571,26, Private,165510, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+6572,64, Private,183513, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+6573,42, Self-emp-inc,119281, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+6574,41, Private,152629, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+6575,45, Private,110171, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6576,39, Private,211440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6577,41, Local-gov,359259, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+6578,51, Private,125796, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+6579,34, Private,39609, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6580,33, Private,111567, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, Germany, >50K
+6581,23, Private,44064, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,2559,40, United-States, >50K
+6582,35, Self-emp-not-inc,120066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+6583,41, Private,132633, 11th,7, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,25, Guatemala, <=50K
+6584,39, Private,192702, Masters,14, Never-married, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K
+6585,41, Private,166813, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+6586,33, Self-emp-inc,40444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+6587,22, Private,290504, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+6588,25, Private,178505, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,1504,45, United-States, <=50K
+6589,25, Private,175370, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+6590,77, Self-emp-not-inc,72931, 7th-8th,4, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,20, Italy, >50K
+6591,33, ?,234542, Assoc-voc,11, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+6592,66, Private,284021, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6593,19, Private,277974, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+6594,44, Private,111275, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K
+6595,45, Self-emp-inc,191776, Masters,14, Divorced, Sales, Unmarried, White, Female,25236,0,42, United-States, >50K
+6596,28, Private,125527, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+6597,19, Private,38294, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,2597,0,40, United-States, <=50K
+6598,43, Private,313022, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386,0,40, United-States, >50K
+6599,39, Private,179668, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K
+6600,33, Private,198660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+6601,44, Private,216116, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+6602,62, Private,200922, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6603,40, Private,153372, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+6604,41, Private,406603, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,6, Iran, <=50K
+6605,23, Local-gov,248344, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+6606,48, Private,240629, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, >50K
+6607,38, Private,314310, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+6608,37, Private,259785, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6609,45, Private,127111, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+6610,29, Private,178272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+6611,66, Local-gov,75134, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K
+6612,19, Private,195985, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+6613,23, Private,221955, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,39, Mexico, <=50K
+6614,34, Private,177675, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+6615,39, Private,182828, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+6616,33, Self-emp-not-inc,270889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+6617,43, Private,183096, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,10, United-States, <=50K
+6618,27, Private,336951, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K
+6619,33, State-gov,295589, Some-college,10, Separated, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K
+6620,26, Private,289980, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Mexico, <=50K
+6621,56, Self-emp-inc,70720, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K
+6622,46, Private,163352, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K
+6623,38, Private,190776, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+6624,90, Private,313986, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6625,72, Self-emp-inc,473748, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, >50K
+6626,20, Private,163003, HS-grad,9, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K
+6627,29, Private,183061, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K
+6628,49, Private,123584, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K
+6629,23, Private,120910, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+6630,20, Private,227554, Some-college,10, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,18, United-States, <=50K
+6631,57, Private,182677, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,4508,0,40, South, <=50K
+6632,46, Private,214955, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+6633,33, Private,209768, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6634,24, Private,258120, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, Jamaica, <=50K
+6635,49, Private,110015, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Greece, <=50K
+6636,54, Private,152652, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+6637,46, Federal-gov,43206, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,50, United-States, >50K
+6638,31, Self-emp-not-inc,114639, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+6639,43, Self-emp-inc,221172, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+6640,18, ?,128538, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K
+6641,19, Private,131615, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+6642,46, Private,353824, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6643,43, Private,178417, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6644,58, Private,178644, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+6645,43, Self-emp-not-inc,271665, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+6646,37, ?,223732, Some-college,10, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+6647,21, Federal-gov,169003, 12th,8, Never-married, Adm-clerical, Own-child, Black, Male,0,0,25, United-States, <=50K
+6648,52, State-gov,338816, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,70, United-States, >50K
+6649,34, Private,506858, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, >50K
+6650,28, Private,265628, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+6651,34, Private,173495, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6652,29, Private,177413, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+6653,39, Private,31670, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+6654,49, Private,154451, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,35, United-States, <=50K
+6655,35, Private,265535, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, Jamaica, >50K
+6656,31, Private,118941, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+6657,18, Private,214617, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+6658,47, Local-gov,265097, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,4386,0,40, United-States, >50K
+6659,46, Private,276087, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,50, United-States, <=50K
+6660,43, Private,124692, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6661,51, Federal-gov,306784, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K
+6662,21, Private,434102, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6663,18, ?,387641, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+6664,31, State-gov,181824, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,35, United-States, >50K
+6665,39, Local-gov,177907, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K
+6666,58, Private,87329, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K
+6667,36, Private,263130, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6668,38, Private,262882, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+6669,31, Private,37546, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,35, United-States, >50K
+6670,19, Private,27433, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6671,38, Private,393945, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K
+6672,26, Private,173927, Assoc-voc,11, Never-married, Prof-specialty, Own-child, Other, Female,0,0,60, Jamaica, <=50K
+6673,38, Private,343403, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K
+6674,36, Private,111128, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+6675,40, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+6676,25, Private,310864, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, ?, <=50K
+6677,41, Private,128354, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,25, United-States, >50K
+6678,33, Private,113364, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+6679,63, ?,198559, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K
+6680,51, Private,136913, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6681,34, Private,115488, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+6682,33, Private,154227, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6683,25, Private,279667, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+6684,30, Self-emp-not-inc,281030, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,66, United-States, <=50K
+6685,19, Private,283945, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+6686,47, Private,454989, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+6687,26, Private,391349, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6688,21, State-gov,166704, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K
+6689,36, Private,151835, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K
+6690,60, Private,199085, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6691,28, Private,61487, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K
+6692,19, Private,120251, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,14, United-States, <=50K
+6693,42, Private,273230, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, <=50K
+6694,36, Private,358373, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,36, United-States, <=50K
+6695,35, Private,267891, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K
+6696,22, Private,234880, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+6697,54, Private,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6698,36, Private,96452, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+6699,55, Private,204751, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+6700,57, Private,375868, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6701,56, Private,413373, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,36, United-States, <=50K
+6702,24, Private,537222, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+6703,35, Local-gov,33975, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6704,51, Self-emp-inc,162327, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6705,34, Private,182691, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,44, United-States, <=50K
+6706,36, Private,300829, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K
+6707,51, Local-gov,114508, 9th,5, Separated, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+6708,46, Self-emp-inc,214627, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+6709,42, Private,129684, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,5455,0,50, United-States, <=50K
+6710,25, State-gov,120041, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6711,22, Private,361138, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K
+6712,37, Private,76893, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6713,48, Private,205424, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, >50K
+6714,61, Private,176839, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+6715,40, Private,229148, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Jamaica, <=50K
+6716,58, Self-emp-inc,154537, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K
+6717,52, Private,181901, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,20, Mexico, <=50K
+6718,18, Private,152004, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+6719,27, Private,205188, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6720,48, Self-emp-not-inc,30840, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K
+6721,63, Private,66634, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K
+6722,38, Self-emp-not-inc,180220, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+6723,31, Private,291052, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2051,40, United-States, <=50K
+6724,40, Self-emp-not-inc,99651, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+6725,41, Private,327723, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6726,28, Private,32291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K
+6727,31, Private,345122, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,50, United-States, >50K
+6728,32, Private,127384, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+6729,30, Private,363296, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,72, United-States, <=50K
+6730,39, Local-gov,86551, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+6731,28, Private,30070, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+6732,31, Private,595000, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,35, United-States, <=50K
+6733,21, ?,152328, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+6734,33, ?,177824, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+6735,44, State-gov,111483, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6736,22, Private,199555, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K
+6737,42, Private,50018, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+6738,36, Private,218490, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+6739,39, Private,49020, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1974,40, United-States, <=50K
+6740,61, Private,213321, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K
+6741,31, Private,159187, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+6742,21, Private,83033, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, Germany, <=50K
+6743,39, Self-emp-not-inc,31848, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,90, United-States, <=50K
+6744,34, Self-emp-not-inc,24961, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+6745,21, Private,182117, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+6746,75, Self-emp-not-inc,146576, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, >50K
+6747,21, Private,176690, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+6748,81, Private,122651, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K
+6749,54, Self-emp-inc,149650, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Canada, <=50K
+6750,34, Private,454508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, Iran, <=50K
+6751,54, Self-emp-not-inc,269068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,50, Philippines, >50K
+6752,41, Private,266530, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K
+6753,61, ?,198542, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6754,63, Private,133144, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,2580,0,20, United-States, <=50K
+6755,24, Private,217961, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6756,20, Private,221661, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K
+6757,44, Local-gov,60735, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K
+6758,47, Self-emp-not-inc,121124, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6759,31, Private,48588, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6760,41, Private,48087, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+6761,53, Self-emp-not-inc,240138, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+6762,63, Private,273010, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3471,0,40, United-States, <=50K
+6763,44, Private,104196, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+6764,37, Private,230035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K
+6765,28, Private,38918, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Germany, >50K
+6766,71, ?,205011, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+6767,57, Private,176079, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6768,22, Private,180052, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K
+6769,33, Local-gov,173005, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1848,45, United-States, >50K
+6770,30, Private,378723, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K
+6771,20, Private,233624, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+6772,28, Private,192591, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+6773,54, Private,249860, 11th,7, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,10, United-States, <=50K
+6774,20, Private,247564, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+6775,34, Private,238912, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+6776,21, Private,190227, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+6777,29, State-gov,293287, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+6778,51, Private,180807, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+6779,39, Private,250217, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,70, United-States, <=50K
+6780,19, Private,217418, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,38, United-States, <=50K
+6781,22, Local-gov,137510, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+6782,59, State-gov,163047, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+6783,18, Private,577521, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,13, United-States, <=50K
+6784,22, Private,221533, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+6785,42, Local-gov,255675, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6786,39, Private,114079, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6787,31, Private,155781, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6788,28, Private,243762, 11th,7, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+6789,22, Private,113062, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,7, United-States, <=50K
+6790,67, Private,217028, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6791,17, Private,110723, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+6792,47, Federal-gov,191858, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+6793,23, Private,179423, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,5, United-States, <=50K
+6794,20, Private,339588, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Peru, <=50K
+6795,22, Private,206815, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K
+6796,47, State-gov,103743, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+6797,49, Private,235683, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+6798,64, ?,207321, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+6799,35, State-gov,197495, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6800,52, Federal-gov,424012, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6801,29, Private,178469, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6802,73, Self-emp-inc,92886, 10th,6, Widowed, Sales, Unmarried, White, Female,0,0,40, Canada, <=50K
+6803,38, Self-emp-not-inc,214008, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+6804,59, Self-emp-not-inc,325732, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,52, United-States, >50K
+6805,35, Private,28572, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,35, United-States, <=50K
+6806,18, Private,118376, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+6807,24, Private,51799, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+6808,33, Local-gov,115488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+6809,40, Private,190621, Some-college,10, Divorced, Exec-managerial, Other-relative, Black, Female,0,0,55, United-States, <=50K
+6810,55, Private,193568, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6811,44, Private,192878, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6812,40, Private,264663, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K
+6813,22, Private,234731, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+6814,55, Private,308373, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+6815,45, Private,205644, HS-grad,9, Separated, Tech-support, Not-in-family, White, Female,0,0,26, United-States, <=50K
+6816,47, Local-gov,321851, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+6817,56, Private,206399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6818,44, Private,124563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+6819,32, State-gov,198211, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K
+6820,17, Private,130795, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+6821,44, Private,71269, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+6822,32, Self-emp-not-inc,319280, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K
+6823,35, Private,125933, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+6824,27, Private,107236, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+6825,32, Private,32732, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+6826,68, Private,284763, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+6827,20, Private,112668, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+6828,33, Private,376483, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6829,24, Private,402778, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+6830,48, Private,36177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+6831,45, Private,125489, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+6832,48, Private,304791, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6833,28, Private,209205, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+6834,60, ?,112821, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K
+6835,39, Local-gov,178100, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+6836,23, Private,70261, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+6837,23, State-gov,186634, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6838,36, Private,32958, Some-college,10, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+6839,25, Private,254746, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+6840,52, Private,158746, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+6841,35, Self-emp-not-inc,140854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6842,41, Private,51506, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+6843,45, Private,189564, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K
+6844,37, Federal-gov,325538, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+6845,58, Private,213975, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6846,67, Self-emp-not-inc,431426, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,2, United-States, <=50K
+6847,48, Private,199763, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K
+6848,63, Private,161563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+6849,24, Local-gov,252024, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K
+6850,43, Private,43945, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+6851,36, Private,178487, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+6852,32, Private,604506, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,72, Mexico, <=50K
+6853,36, Private,228157, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K
+6854,43, Private,199191, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+6855,27, Private,189775, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6856,17, Private,171080, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+6857,45, Private,117310, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,46, United-States, <=50K
+6858,41, Self-emp-inc,82049, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6859,41, Self-emp-not-inc,126094, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K
+6860,18, ?,202516, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+6861,48, Local-gov,246392, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+6862,51, ?,69328, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+6863,26, Private,292803, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+6864,54, Private,286989, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+6865,22, Private,190483, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,48, Iran, <=50K
+6866,19, Private,235849, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K
+6867,47, Private,359766, 7th-8th,4, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+6868,32, Private,128016, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+6869,46, Private,360096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+6870,30, Private,170154, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K
+6871,35, Private,337286, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+6872,52, Private,204322, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K
+6873,73, Self-emp-not-inc,143833, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,18, United-States, <=50K
+6874,17, Private,365613, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,10, Canada, <=50K
+6875,32, Private,100135, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+6876,43, Local-gov,180096, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+6877,19, ?,371827, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Portugal, <=50K
+6878,26, Private,61270, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Columbia, <=50K
+6879,41, Federal-gov,564135, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6880,49, Private,198759, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+6881,52, State-gov,303462, Some-college,10, Separated, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K
+6882,35, Private,193106, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K
+6883,57, Private,250201, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, United-States, <=50K
+6884,35, Private,200426, Assoc-voc,11, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K
+6885,33, Private,222654, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6886,56, Private,53366, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+6887,42, Private,132222, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K
+6888,17, Private,100828, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+6889,49, Private,31264, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+6890,39, Private,202027, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+6891,34, Self-emp-not-inc,168906, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+6892,37, Self-emp-not-inc,255454, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+6893,22, Private,245524, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+6894,27, Private,386040, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+6895,21, Private,35424, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+6896,59, ?,93655, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+6897,44, Private,152629, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,40, United-States, >50K
+6898,53, Self-emp-not-inc,151159, 10th,6, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,99, United-States, <=50K
+6899,26, Private,410240, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6900,48, Private,138970, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+6901,39, Private,269722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+6902,34, Private,223678, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K
+6903,54, State-gov,197184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K
+6904,36, Private,143486, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K
+6905,60, Private,160625, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K
+6906,50, Private,140516, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+6907,48, Local-gov,85341, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+6908,35, Private,108293, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2205,40, United-States, <=50K
+6909,40, Self-emp-not-inc,192507, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+6910,30, Private,186932, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+6911,65, Self-emp-not-inc,223580, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6514,0,40, United-States, >50K
+6912,31, Private,236861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+6913,46, Local-gov,327886, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6914,67, ?,407618, 9th,5, Divorced, ?, Not-in-family, White, Female,2050,0,40, United-States, <=50K
+6915,62, Self-emp-inc,197060, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+6916,38, Private,229180, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, Cuba, <=50K
+6917,24, Private,284317, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+6918,24, Private,73514, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K
+6919,27, Private,47907, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K
+6920,43, State-gov,134782, Assoc-acdm,12, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+6921,48, Private,118831, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+6922,41, Private,299505, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+6923,30, Private,267161, Some-college,10, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,45, United-States, <=50K
+6924,38, Private,119177, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6925,45, Private,327886, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+6926,45, Private,187730, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+6927,55, Private,109015, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+6928,46, Self-emp-not-inc,110015, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, Greece, <=50K
+6929,24, Private,104146, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+6930,31, Local-gov,50442, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K
+6931,35, Private,57640, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+6932,37, Local-gov,333664, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6933,29, Private,224858, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+6934,56, Private,290641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6935,60, ?,191118, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1848,40, United-States, >50K
+6936,25, Private,34402, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,60, United-States, <=50K
+6937,33, Private,245378, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+6938,44, Private,179136, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6939,21, Private,116788, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+6940,21, Private,129699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6941,46, Federal-gov,39606, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K
+6942,44, Self-emp-inc,95150, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+6943,63, Private,102479, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6944,44, Private,199191, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K
+6945,31, Private,229636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K
+6946,26, Private,53833, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K
+6947,37, Self-emp-inc,27997, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+6948,60, ?,124487, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K
+6949,33, Private,111363, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+6950,38, Private,107630, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+6951,26, Private,134287, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+6952,46, Self-emp-inc,283004, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,63, Thailand, <=50K
+6953,24, Private,33616, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+6954,47, Local-gov,121124, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+6955,27, Private,188189, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K
+6956,46, Private,106255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6957,47, Federal-gov,282830, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+6958,47, Private,243904, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Honduras, <=50K
+6959,69, Private,165017, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Male,2538,0,40, United-States, <=50K
+6960,32, Private,131584, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+6961,51, Private,427781, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+6962,36, Private,334291, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+6963,50, Local-gov,173224, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+6964,29, Private,87507, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K
+6965,32, Private,187560, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K
+6966,27, Private,204497, 10th,6, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,75, United-States, <=50K
+6967,60, Private,230545, 7th-8th,4, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, Cuba, <=50K
+6968,31, Private,118161, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+6969,46, Private,150499, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+6970,40, Local-gov,96554, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+6971,39, Private,288551, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, >50K
+6972,69, Self-emp-not-inc,104003, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+6973,54, Self-emp-inc,124963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+6974,56, Private,198388, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6975,47, Federal-gov,126204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6976,25, Private,91709, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K
+6977,34, Self-emp-not-inc,152109, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+6978,24, Self-emp-not-inc,191954, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+6979,63, Private,108097, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,10566,0,45, United-States, <=50K
+6980,29, Local-gov,289991, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+6981,64, Private,92115, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+6982,44, Private,320277, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+6983,26, Private,33610, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K
+6984,36, Private,168276, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+6985,55, State-gov,175127, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,38, United-States, >50K
+6986,37, Private,254973, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, >50K
+6987,37, Private,95336, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K
+6988,63, Private,346975, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,36, United-States, >50K
+6989,33, Private,227282, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+6990,19, Private,138153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+6991,57, Local-gov,174132, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1977,40, United-States, >50K
+6992,31, Private,182237, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K
+6993,20, ?,111252, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+6994,58, Local-gov,217775, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+6995,20, ?,168863, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+6996,25, Private,394503, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+6997,40, Private,141657, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+6998,18, Private,125441, 11th,7, Never-married, Other-service, Own-child, White, Male,1055,0,20, United-States, <=50K
+6999,26, Private,172230, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7000,29, Private,282944, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+7001,45, Local-gov,55377, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+7002,35, State-gov,49352, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+7003,32, Private,213887, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K
+7004,61, Self-emp-not-inc,24046, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+7005,26, State-gov,208122, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K
+7006,56, Private,176118, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+7007,22, Private,227994, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,39, United-States, <=50K
+7008,49, Private,215389, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K
+7009,40, Private,99434, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K
+7010,37, Private,190964, HS-grad,9, Separated, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+7011,23, ?,113700, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+7012,28, Private,259840, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+7013,27, Private,168827, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7014,34, Self-emp-inc,28984, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+7015,49, Private,182211, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+7016,41, Private,82393, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+7017,28, Private,183639, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,21, United-States, <=50K
+7018,38, Private,342448, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+7019,47, State-gov,469907, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1740,40, United-States, <=50K
+7020,28, Local-gov,211920, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+7021,44, State-gov,33658, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+7022,41, Federal-gov,34178, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7023,50, Private,400630, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K
+7024,73, Self-emp-not-inc,161251, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,24, United-States, <=50K
+7025,21, Private,255685, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K
+7026,38, Private,199256, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7027,64, ?,143716, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K
+7028,47, Private,221666, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+7029,52, Private,145409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, Canada, >50K
+7030,24, Private,39615, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7031,44, Private,104440, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7032,27, Private,151382, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Male,0,974,40, United-States, <=50K
+7033,61, Self-emp-not-inc,503675, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K
+7034,58, Private,306233, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+7035,51, Private,216475, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1564,43, United-States, >50K
+7036,49, Private,50748, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, England, <=50K
+7037,23, Private,107190, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K
+7038,19, Private,206874, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+7039,21, Private,83141, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,53, United-States, <=50K
+7040,56, Private,444089, 11th,7, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7041,35, Private,141896, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7042,37, Federal-gov,33487, Some-college,10, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+7043,41, Private,65372, Doctorate,16, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, >50K
+7044,30, Private,341346, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7045,35, Private,343403, Doctorate,16, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, ?, <=50K
+7046,47, Private,287480, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7047,59, Self-emp-inc,107287, 10th,6, Widowed, Exec-managerial, Unmarried, White, Female,0,2559,50, United-States, >50K
+7048,55, Private,199067, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,32, United-States, <=50K
+7049,22, ?,182771, Assoc-voc,11, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+7050,31, Private,159737, 10th,6, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7051,30, Private,110643, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,40, United-States, >50K
+7052,24, Private,117583, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,48, United-States, <=50K
+7053,49, Self-emp-not-inc,43479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7054,23, Private,203003, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, Germany, <=50K
+7055,50, Private,133963, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+7056,38, Private,227794, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7057,20, Self-emp-not-inc,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K
+7058,49, Self-emp-not-inc,110457, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+7059,45, Private,281565, HS-grad,9, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,50, South, <=50K
+7060,46, Federal-gov,297906, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+7061,19, Private,151506, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+7062,31, Federal-gov,139455, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Cuba, <=50K
+7063,38, Private,26987, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+7064,56, Self-emp-not-inc,233312, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+7065,24, Private,161092, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+7066,58, Local-gov,98361, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+7067,28, Private,188928, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7068,22, Private,164922, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7069,46, Private,185673, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7070,30, Private,193598, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+7071,56, Private,274111, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+7072,32, Private,245482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+7073,56, Private,160932, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K
+7074,50, Private,44368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+7075,28, ?,291374, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K
+7076,30, Private,280927, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7077,24, Private,222993, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+7078,42, Federal-gov,25240, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+7079,31, Self-emp-not-inc,204052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+7080,18, Private,74054, 11th,7, Never-married, Sales, Own-child, Other, Female,0,0,20, ?, <=50K
+7081,46, Private,169042, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,25, Ecuador, <=50K
+7082,31, Private,104509, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,65, United-States, >50K
+7083,38, Local-gov,185394, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K
+7084,44, Local-gov,254146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+7085,55, Self-emp-inc,227856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K
+7086,19, Private,183041, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+7087,45, Private,107682, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+7088,50, Self-emp-inc,287598, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+7089,53, Private,182186, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Dominican-Republic, <=50K
+7090,41, Self-emp-inc,194636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,65, United-States, >50K
+7091,45, Private,112305, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7092,21, Private,212661, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K
+7093,37, Private,32709, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+7094,42, Federal-gov,46366, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7095,37, Self-emp-not-inc,24106, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K
+7096,46, Private,170850, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1590,40, ?, <=50K
+7097,45, Self-emp-not-inc,40666, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+7098,32, Private,182975, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K
+7099,30, Private,345122, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+7100,57, ?,208311, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, >50K
+7101,37, Private,120045, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,56, United-States, <=50K
+7102,18, ?,201299, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+7103,32, Private,152940, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+7104,43, Private,243580, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+7105,46, Private,182128, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,6497,0,50, United-States, <=50K
+7106,36, ?,176458, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,28, United-States, <=50K
+7107,33, Private,101562, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7108,48, Private,108699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7109,34, Private,175878, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Female,0,0,40, United-States, <=50K
+7110,34, Local-gov,177675, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, >50K
+7111,33, Private,213887, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7112,36, Private,357619, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, Germany, <=50K
+7113,23, Private,435835, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1669,55, United-States, <=50K
+7114,39, Private,165799, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+7115,22, Private,71469, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+7116,19, Private,229745, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+7117,47, Private,284916, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K
+7118,46, Private,28419, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7119,47, Private,26950, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,6, United-States, <=50K
+7120,47, Self-emp-not-inc,107231, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+7121,52, Local-gov,512103, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7122,38, Self-emp-not-inc,245090, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+7123,58, Private,314153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+7124,32, Private,243988, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+7125,54, Self-emp-not-inc,82551, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,10, United-States, <=50K
+7126,20, Private,42706, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K
+7127,25, Private,235795, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+7128,25, Self-emp-not-inc,108001, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,15, United-States, <=50K
+7129,36, State-gov,112497, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,1876,44, United-States, <=50K
+7130,69, Self-emp-not-inc,128206, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K
+7131,28, Private,224634, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+7132,20, Private,362999, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+7133,21, Private,346693, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K
+7134,37, Private,175759, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+7135,21, Private,99199, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,32, United-States, <=50K
+7136,25, ?,219987, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K
+7137,39, Private,143445, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K
+7138,34, Private,118710, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+7139,33, Local-gov,224185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7140,47, Private,118972, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+7141,29, Private,165360, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7142,48, Private,38950, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,89, United-States, <=50K
+7143,42, Self-emp-inc,277256, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K
+7144,29, Private,247151, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+7145,34, Private,213722, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+7146,20, Private,209955, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+7147,41, Private,174395, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+7148,45, Private,138626, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1876,50, United-States, <=50K
+7149,22, ?,179973, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+7150,23, Private,200207, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K
+7151,19, Private,156587, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+7152,24, Private,33016, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+7153,20, Private,197496, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K
+7154,32, Private,153588, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7155,52, Private,99736, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,15020,0,50, United-States, >50K
+7156,36, Private,284166, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K
+7157,18, Private,716066, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K
+7158,27, Private,188519, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+7159,26, Private,109080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+7160,52, Private,174421, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+7161,24, Private,259351, Some-college,10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K
+7162,42, Federal-gov,284403, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7163,39, Private,85319, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,60, United-States, >50K
+7164,20, ?,201766, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+7165,20, State-gov,340475, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+7166,39, Private,487486, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Male,0,0,40, ?, <=50K
+7167,68, ?,484298, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+7168,35, Private,170617, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K
+7169,54, Private,94055, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7170,24, Private,117779, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+7171,24, Private,209770, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K
+7172,20, Private,317443, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,15, United-States, <=50K
+7173,64, ?,140237, Preschool,1, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+7174,28, Private,107411, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+7175,36, Self-emp-not-inc,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K
+7176,44, Self-emp-inc,195124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, ?, <=50K
+7177,38, Private,101978, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,2258,55, United-States, >50K
+7178,22, Private,335453, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+7179,56, Private,318329, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7180,24, Private,100321, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+7181,24, Self-emp-not-inc,81145, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K
+7182,22, Private,62865, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7183,21, Private,176262, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K
+7184,42, Private,168103, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7185,41, Local-gov,208174, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K
+7186,19, Private,188815, HS-grad,9, Never-married, Other-service, Own-child, White, Female,34095,0,20, United-States, <=50K
+7187,67, Self-emp-not-inc,226092, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, <=50K
+7188,20, Private,212668, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+7189,32, Private,381583, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K
+7190,46, Private,239439, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+7191,52, Private,172493, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K
+7192,44, Private,239876, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K
+7193,65, ?,221881, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K
+7194,37, Local-gov,218184, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+7195,27, Self-emp-not-inc,206889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+7196,35, Private,110668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,35, United-States, <=50K
+7197,30, Private,211028, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+7198,64, Local-gov,202984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K
+7199,48, Private,20296, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, >50K
+7200,35, Private,194690, 7th-8th,4, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+7201,28, Self-emp-not-inc,204984, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7202,63, Self-emp-not-inc,35021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,32, China, >50K
+7203,40, Self-emp-not-inc,238574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+7204,33, Private,345360, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7205,40, Private,192381, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+7206,25, Private,479765, 7th-8th,4, Never-married, Sales, Other-relative, White, Male,0,0,45, Guatemala, <=50K
+7207,45, Self-emp-inc,34091, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+7208,30, Private,151773, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+7209,53, Private,299080, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7210,63, Private,135339, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,2105,0,40, Vietnam, <=50K
+7211,27, Local-gov,52156, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K
+7212,31, Private,318647, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7213,33, Private,80145, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+7214,39, State-gov,343646, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, Mexico, >50K
+7215,42, Self-emp-not-inc,198692, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+7216,19, Private,266635, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K
+7217,31, Private,197672, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+7218,53, Private,185846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7219,47, Self-emp-not-inc,315110, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+7220,27, Private,220754, Doctorate,16, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+7221,22, Private,64292, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7222,29, Private,126060, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+7223,52, Private,78012, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,1762,40, United-States, <=50K
+7224,32, Private,210562, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,46, United-States, <=50K
+7225,23, Private,350181, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7226,27, Private,233421, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+7227,53, Private,167170, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+7228,18, Private,260801, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+7229,41, Private,173370, Bachelors,13, Separated, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+7230,27, Private,135520, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Dominican-Republic, <=50K
+7231,30, Private,121308, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+7232,41, Private,444743, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+7233,21, Private,65225, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+7234,58, State-gov,136982, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, Honduras, <=50K
+7235,45, State-gov,271962, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7236,40, Private,204046, 10th,6, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+7237,21, Private,225823, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7238,29, Private,183009, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,1590,40, United-States, <=50K
+7239,50, Private,121038, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K
+7240,26, Private,49092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7241,23, Private,148709, HS-grad,9, Separated, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K
+7242,27, Private,209205, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+7243,36, Local-gov,285865, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+7244,22, Federal-gov,216129, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+7245,37, Federal-gov,40955, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, Japan, <=50K
+7246,54, Private,197189, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+7247,36, Private,33001, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K
+7248,44, Private,227399, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+7249,38, Private,164050, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+7250,49, Private,259087, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7251,18, Private,236262, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+7252,26, Private,177929, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+7253,48, Private,166929, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, ?, >50K
+7254,32, Private,199963, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+7255,35, State-gov,98776, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+7256,40, Private,135056, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+7257,40, Self-emp-not-inc,55363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K
+7258,42, State-gov,102343, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,72, India, >50K
+7259,30, Private,231263, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7260,19, Private,226913, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+7261,36, Private,129573, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+7262,31, Private,191001, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7263,50, Federal-gov,69345, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+7264,38, Private,204556, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7265,35, Private,192626, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+7266,45, Private,202812, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+7267,29, Private,405177, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+7268,41, Private,227890, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, >50K
+7269,33, Private,101352, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+7270,49, Private,82572, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K
+7271,28, Private,132686, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7272,49, Local-gov,149210, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,40, United-States, >50K
+7273,27, Private,245661, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+7274,47, Self-emp-inc,483596, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2885,0,32, United-States, <=50K
+7275,42, State-gov,104663, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Italy, >50K
+7276,30, Private,347166, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+7277,37, Local-gov,108540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7278,37, Private,333305, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K
+7279,51, Private,155408, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+7280,27, Federal-gov,246372, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7281,53, Private,30290, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7282,45, Private,347321, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7283,37, Self-emp-inc,205852, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+7284,40, Federal-gov,163215, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, <=50K
+7285,54, State-gov,93449, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+7286,47, Self-emp-inc,116927, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+7287,35, Private,164526, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Yugoslavia, >50K
+7288,33, Private,31573, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7289,28, Local-gov,125159, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, Haiti, <=50K
+7290,39, State-gov,201105, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K
+7291,25, ?,122745, HS-grad,9, Never-married, ?, Own-child, White, Male,0,1602,40, United-States, <=50K
+7292,33, Private,150570, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7293,34, Private,118941, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Ireland, <=50K
+7294,53, Private,141388, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+7295,21, Private,174714, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+7296,31, State-gov,75755, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K
+7297,63, Private,133144, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+7298,21, Self-emp-not-inc,318865, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+7299,59, Private,109638, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+7300,50, Private,92969, 1st-4th,2, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7301,66, ?,376028, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+7302,19, Private,144161, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+7303,31, Private,183778, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7304,23, Private,398904, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+7305,45, Private,170846, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+7306,35, Local-gov,204277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+7307,32, Private,205152, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+7308,20, Private,225395, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,60, Mexico, <=50K
+7309,38, Private,33975, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, >50K
+7310,49, Private,147032, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,8, Philippines, <=50K
+7311,64, Private,174826, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7312,60, Local-gov,232769, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+7313,25, Private,36984, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7314,21, Private,292264, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+7315,26, Private,303973, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,1602,15, Mexico, <=50K
+7316,23, Private,287988, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K
+7317,67, Self-emp-inc,330144, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+7318,24, Private,191948, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+7319,46, Private,324601, 1st-4th,2, Separated, Machine-op-inspct, Own-child, White, Female,0,0,40, Guatemala, <=50K
+7320,38, State-gov,200289, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+7321,20, Private,113307, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+7322,28, ?,194087, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K
+7323,26, Private,155213, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K
+7324,58, Private,175127, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7325,31, State-gov,358461, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+7326,37, State-gov,354929, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,38, United-States, <=50K
+7327,53, State-gov,104501, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+7328,45, Private,112929, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+7329,33, Private,132832, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7330,33, State-gov,357691, Masters,14, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+7331,35, Private,114605, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K
+7332,60, Self-emp-not-inc,525878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+7333,21, Private,68358, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+7334,38, Private,174571, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, <=50K
+7335,40, Private,42703, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+7336,40, Private,220589, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+7337,44, Self-emp-not-inc,197558, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K
+7338,27, Private,423250, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+7339,34, Self-emp-not-inc,29254, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+7340,20, ?,308924, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+7341,49, Local-gov,276247, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+7342,37, Private,213841, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+7343,52, Private,181677, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, >50K
+7344,46, Private,160061, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+7345,20, Private,285295, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+7346,43, Private,265266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7347,46, Local-gov,222115, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,99999,0,40, United-States, >50K
+7348,25, State-gov,194954, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K
+7349,48, Private,156926, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7350,36, Local-gov,217414, Some-college,10, Divorced, Protective-serv, Unmarried, White, Male,0,0,55, United-States, <=50K
+7351,37, Private,538443, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,14344,0,40, United-States, >50K
+7352,18, ?,192399, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+7353,42, Private,383493, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+7354,60, Private,193235, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,24, United-States, <=50K
+7355,37, Self-emp-inc,99452, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K
+7356,44, Local-gov,254134, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7357,32, Private,90446, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7358,29, Private,116613, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Portugal, <=50K
+7359,42, Local-gov,238188, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+7360,17, Private,95909, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+7361,41, Private,82319, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K
+7362,34, Private,182274, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1887,40, United-States, >50K
+7363,56, Private,179625, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+7364,28, Private,119793, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+7365,28, Self-emp-not-inc,254989, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+7366,19, Private,104830, 7th-8th,4, Never-married, Transport-moving, Unmarried, White, Male,0,0,25, Guatemala, <=50K
+7367,49, Federal-gov,110373, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+7368,36, Self-emp-not-inc,135416, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K
+7369,25, Private,298225, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+7370,42, Private,166740, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7371,47, Self-emp-not-inc,213668, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+7372,26, Private,276624, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+7373,35, Private,226789, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,58, United-States, <=50K
+7374,37, Private,31023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+7375,39, Local-gov,116666, HS-grad,9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,4650,0,48, United-States, <=50K
+7376,42, Private,136986, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+7377,41, Private,179580, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,36, United-States, >50K
+7378,23, Private,103277, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+7379,31, Federal-gov,351141, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+7380,36, Local-gov,191161, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,57, United-States, >50K
+7381,20, Private,148709, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K
+7382,36, Private,128382, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K
+7383,50, Private,144361, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+7384,37, Private,172538, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+7385,25, Private,102476, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,27828,0,50, United-States, >50K
+7386,39, Private,46028, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,60, United-States, <=50K
+7387,32, Private,198452, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K
+7388,59, Private,193895, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+7389,29, Private,233421, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,45, United-States, <=50K
+7390,50, Private,378747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+7391,42, Private,31251, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, <=50K
+7392,32, Private,71540, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7393,48, Private,194772, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+7394,20, Private,34568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,35, United-States, <=50K
+7395,50, Self-emp-not-inc,36480, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7396,18, Private,116528, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+7397,60, Private,52152, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7398,60, Private,216690, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+7399,42, Local-gov,227065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,22, United-States, <=50K
+7400,49, Private,84013, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+7401,35, Self-emp-inc,82051, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+7402,30, Self-emp-not-inc,176185, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Iran, <=50K
+7403,59, Private,115414, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7404,24, Self-emp-inc,493034, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,13550,0,50, United-States, >50K
+7405,55, Private,354923, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7406,19, Private,393712, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+7407,39, Private,98941, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7408,48, Private,141483, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+7409,44, Private,172479, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+7410,21, Private,226145, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+7411,23, Private,394612, Bachelors,13, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K
+7412,22, Private,231085, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+7413,55, Self-emp-not-inc,183810, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+7414,19, Private,186159, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7415,23, Private,162282, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K
+7416,46, Private,219021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,44, United-States, >50K
+7417,23, Private,273206, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,23, United-States, <=50K
+7418,47, Self-emp-inc,332355, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+7419,23, Private,102729, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+7420,42, Private,198096, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+7421,22, State-gov,292933, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+7422,18, Private,135924, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+7423,37, Private,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+7424,34, Private,27409, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+7425,30, Private,299507, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+7426,62, Self-emp-not-inc,102631, Some-college,10, Widowed, Farming-fishing, Unmarried, White, Female,0,0,50, United-States, <=50K
+7427,51, Private,153486, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+7428,34, Private,434292, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K
+7429,28, Self-emp-not-inc,240172, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+7430,56, Private,219426, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7431,46, Private,295791, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K
+7432,46, Private,114032, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,45, United-States, >50K
+7433,23, Local-gov,496382, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, Guatemala, <=50K
+7434,33, Private,376483, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,30, United-States, <=50K
+7435,27, Private,107218, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+7436,21, Private,246207, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+7437,18, ?,80564, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+7438,36, Private,83089, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, Mexico, >50K
+7439,37, Local-gov,328301, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+7440,39, Local-gov,301614, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7441,36, Private,199739, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K
+7442,24, Private,180060, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,2354,0,40, United-States, <=50K
+7443,26, Private,121040, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+7444,37, Private,125550, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+7445,34, Private,170772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+7446,33, Private,180551, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+7447,33, Self-emp-not-inc,48189, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K
+7448,20, Private,432154, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,8, Mexico, <=50K
+7449,26, Private,263200, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+7450,47, Private,123207, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+7451,17, Private,110798, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+7452,53, Private,238481, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, <=50K
+7453,31, Private,185528, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+7454,34, Private,181311, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7455,23, Private,528616, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+7456,39, Private,272950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+7457,22, ?,195532, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+7458,21, Private,197583, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+7459,40, Private,48612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+7460,54, Local-gov,31533, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+7461,32, Federal-gov,148138, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2002,40, Iran, <=50K
+7462,29, Local-gov,30069, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,2635,0,40, United-States, <=50K
+7463,68, ?,170182, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7464,27, Local-gov,230885, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K
+7465,54, Private,174102, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+7466,23, Private,352606, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+7467,38, Private,241153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+7468,54, Private,155433, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+7469,21, Private,109414, Some-college,10, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,1974,40, United-States, <=50K
+7470,40, Private,125461, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K
+7471,19, Private,331556, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7472,21, ?,138575, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,60, United-States, <=50K
+7473,35, Private,223514, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+7474,39, Private,115418, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2174,0,45, United-States, <=50K
+7475,38, Private,193026, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,1408,40, ?, <=50K
+7476,41, Private,147206, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+7477,26, Private,174592, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7478,35, Private,268620, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+7479,70, Self-emp-not-inc,150886, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+7480,45, Private,112362, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7481,83, Private,195507, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, <=50K
+7482,59, Private,192983, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7483,18, Private,120544, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K
+7484,31, Private,59083, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+7485,43, Private,208277, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+7486,24, Local-gov,184678, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7487,33, Private,278736, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+7488,48, Local-gov,39464, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,52, United-States, <=50K
+7489,27, Private,162343, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Dominican-Republic, <=50K
+7490,41, Private,204046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7491,25, Private,255647, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, Mexico, <=50K
+7492,53, Private,123011, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, >50K
+7493,66, Self-emp-not-inc,291362, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+7494,31, Private,159187, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+7495,30, State-gov,126414, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7496,22, Private,227626, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7497,47, Self-emp-inc,173783, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+7498,74, Private,211075, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7499,37, Private,176756, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1485,70, United-States, >50K
+7500,35, Self-emp-not-inc,31095, Some-college,10, Separated, Farming-fishing, Not-in-family, White, Male,4101,0,60, United-States, <=50K
+7501,51, Self-emp-not-inc,32372, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,70, United-States, <=50K
+7502,40, Private,331651, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7503,51, Local-gov,146325, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+7504,26, Private,515025, 10th,6, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K
+7505,53, Private,394474, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7506,32, Private,400535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,40, United-States, <=50K
+7507,29, Self-emp-not-inc,337505, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+7508,42, Private,211860, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7509,22, Private,102684, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K
+7510,62, ?,225657, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+7511,33, Private,121966, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7512,21, Private,396790, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,20, United-States, <=50K
+7513,46, Local-gov,149949, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+7514,25, Private,252187, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7515,29, Private,209934, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+7516,29, Federal-gov,229300, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K
+7517,33, Private,170769, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,99999,0,60, United-States, >50K
+7518,50, Private,200618, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7519,22, Private,216984, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+7520,40, Private,212760, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7521,28, Private,150309, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K
+7522,54, Private,174655, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+7523,29, Private,109621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7524,49, Private,225124, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7525,46, Private,172695, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,27, El-Salvador, <=50K
+7526,71, Self-emp-not-inc,238479, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K
+7527,27, Private,37754, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+7528,56, Private,85018, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7529,64, Private,256466, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, >50K
+7530,23, Private,169188, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K
+7531,36, Private,210945, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+7532,39, Local-gov,287031, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+7533,26, Private,224361, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7534,31, Federal-gov,108464, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+7535,36, Private,75826, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7536,43, Private,120277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+7537,25, Private,104439, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7538,27, Private,56870, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7539,24, Private,200819, 12th,8, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7540,50, Self-emp-not-inc,170562, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K
+7541,30, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7542,24, Private,33088, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7543,41, Local-gov,112763, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,7430,0,36, United-States, >50K
+7544,29, Private,177651, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7545,31, Private,261943, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+7546,54, Private,169785, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Italy, <=50K
+7547,20, Private,141481, 11th,7, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,50, United-States, <=50K
+7548,37, Private,433491, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+7549,28, Local-gov,86615, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K
+7550,39, Private,125550, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+7551,46, State-gov,421223, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7552,35, Private,26999, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K
+7553,36, Self-emp-not-inc,241998, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,20, United-States, >50K
+7554,34, ?,133861, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+7555,44, Private,115323, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7556,34, Self-emp-inc,23778, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7557,28, Self-emp-not-inc,190836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+7558,38, Self-emp-inc,159179, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+7559,64, ?,205479, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+7560,19, ?,47713, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+7561,35, Private,163237, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+7562,61, Private,202202, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7563,45, Private,168837, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+7564,36, Private,112271, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+7565,34, Private,52537, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,30, United-States, <=50K
+7566,27, Private,38353, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+7567,22, Private,141698, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+7568,26, Private,28856, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7569,19, Private,175652, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,15, United-States, <=50K
+7570,36, Private,213008, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7571,51, Private,196501, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K
+7572,63, Private,118798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K
+7573,51, Private,92463, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+7574,20, State-gov,125165, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+7575,42, Self-emp-not-inc,103980, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+7576,40, ?,180362, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+7577,25, Private,53903, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7578,40, Private,179735, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+7579,41, ?,277390, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, >50K
+7580,49, Private,122177, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,80, United-States, <=50K
+7581,46, Private,188161, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+7582,32, Self-emp-not-inc,170108, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7583,28, Private,175262, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Mexico, <=50K
+7584,19, ?,204441, HS-grad,9, Never-married, ?, Other-relative, Black, Male,0,0,20, United-States, <=50K
+7585,19, Private,164395, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+7586,18, Private,115630, 11th,7, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K
+7587,39, Private,178815, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+7588,60, Self-emp-not-inc,168223, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+7589,46, Local-gov,202560, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K
+7590,38, Private,100295, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, Canada, >50K
+7591,36, Private,172256, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K
+7592,45, Private,51664, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7593,60, State-gov,358893, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,2339,40, United-States, <=50K
+7594,30, Private,115963, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7595,22, Private,333910, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K
+7596,23, Private,148948, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7597,48, State-gov,130561, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,24, United-States, <=50K
+7598,46, Private,428350, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+7599,43, Private,188808, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+7600,25, Private,112847, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, Other, Male,0,0,40, United-States, <=50K
+7601,50, Private,110748, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7602,61, Self-emp-inc,156653, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+7603,35, Private,196491, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7604,65, Local-gov,254413, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7605,56, Private,91262, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K
+7606,43, Self-emp-not-inc,154785, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,80, Thailand, <=50K
+7607,55, Private,84231, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+7608,22, Private,226327, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+7609,40, Private,248406, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,32, United-States, <=50K
+7610,35, Private,54317, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K
+7611,22, ?,32732, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+7612,20, Private,95918, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7613,46, Local-gov,375675, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K
+7614,43, Private,244172, HS-grad,9, Separated, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K
+7615,46, Federal-gov,233555, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K
+7616,39, Private,326342, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,2635,0,37, United-States, <=50K
+7617,34, Private,77271, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,20, England, <=50K
+7618,35, Private,33397, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+7619,30, Private,446358, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,41, United-States, <=50K
+7620,25, Private,151810, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,28, United-States, <=50K
+7621,44, Private,125461, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+7622,35, Private,133906, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7623,41, Private,155106, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+7624,43, Federal-gov,203637, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+7625,32, Private,232766, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7626,50, Private,305319, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7627,20, Private,121023, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+7628,29, Private,198997, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+7629,38, Private,167140, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K
+7630,20, Private,38772, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K
+7631,41, Private,253759, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7632,27, Private,130067, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K
+7633,37, Private,203828, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7634,62, State-gov,221558, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,24, ?, <=50K
+7635,31, Private,156464, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7636,49, Private,72333, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+7637,33, Local-gov,83671, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,50, United-States, <=50K
+7638,31, Private,339482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K
+7639,19, Private,91928, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K
+7640,44, Private,99203, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7641,31, Self-emp-inc,455995, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K
+7642,62, Private,192515, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K
+7643,65, Self-emp-not-inc,111483, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2174,10, United-States, >50K
+7644,17, Private,221129, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7645,60, Private,85413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K
+7646,31, Private,196125, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7647,29, Private,265638, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7648,53, Private,177727, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+7649,44, Private,205822, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+7650,43, Private,112607, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+7651,40, Federal-gov,177595, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K
+7652,18, Private,183315, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,10, United-States, <=50K
+7653,47, Private,116279, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,43, United-States, <=50K
+7654,38, Federal-gov,122493, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064,0,40, United-States, <=50K
+7655,37, Private,215419, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K
+7656,40, Private,310101, Some-college,10, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+7657,57, Self-emp-inc,61885, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K
+7658,43, Private,59107, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,4101,0,40, United-States, <=50K
+7659,32, Private,227214, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, Ecuador, <=50K
+7660,64, Private,239450, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7661,18, Private,118847, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+7662,40, Self-emp-not-inc,95226, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7663,17, ?,659273, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, Trinadad&Tobago, <=50K
+7664,23, Private,215395, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7665,45, Private,170600, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7666,45, Self-emp-not-inc,91044, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K
+7667,27, Private,318639, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,60, Mexico, <=50K
+7668,23, Private,160398, Some-college,10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+7669,58, Self-emp-not-inc,216824, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K
+7670,35, Private,308945, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,75, United-States, <=50K
+7671,47, Private,30840, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+7672,33, Private,99309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+7673,27, Private,188576, Bachelors,13, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+7674,46, Private,83064, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+7675,24, Private,403865, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K
+7676,40, Private,235786, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+7677,44, Private,191893, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+7678,31, Local-gov,149184, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,97, United-States, >50K
+7679,37, Private,152909, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K
+7680,23, Private,435604, Assoc-voc,11, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+7681,30, Self-emp-inc,109282, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+7682,31, Private,248178, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K
+7683,24, ?,112683, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K
+7684,32, Private,209103, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3464,0,40, United-States, <=50K
+7685,27, Private,183639, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+7686,35, Local-gov,107233, HS-grad,9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K
+7687,27, Private,175387, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+7688,30, Self-emp-not-inc,178255, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, ?, <=50K
+7689,33, Self-emp-not-inc,38223, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K
+7690,34, Private,228873, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+7691,29, Private,202182, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+7692,26, Local-gov,425092, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K
+7693,39, Self-emp-not-inc,152587, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+7694,37, Self-emp-inc,39089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K
+7695,51, Private,204304, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+7696,40, Private,116103, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,4934,0,47, United-States, >50K
+7697,53, Private,290640, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+7698,58, Federal-gov,81973, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1485,40, United-States, >50K
+7699,29, Private,134890, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+7700,33, Private,452924, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K
+7701,57, Private,245193, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+7702,69, State-gov,34339, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+7703,20, Private,184756, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+7704,56, Private,392160, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,25, Mexico, <=50K
+7705,49, Private,168337, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7706,34, Private,309513, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7707,70, Private,77219, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K
+7708,44, Private,212888, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+7709,37, Private,361888, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K
+7710,58, Local-gov,237879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, <=50K
+7711,42, Self-emp-not-inc,93099, Some-college,10, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K
+7712,41, Private,225193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7713,28, Private,50814, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7714,47, Local-gov,123681, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K
+7715,24, Private,249351, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+7716,58, Self-emp-not-inc,222311, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7688,0,55, United-States, >50K
+7717,18, Private,301762, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+7718,50, Private,195298, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+7719,69, Private,541737, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,2050,0,24, United-States, <=50K
+7720,84, Private,241065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, United-States, <=50K
+7721,47, Private,129513, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+7722,19, Private,374262, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+7723,24, Private,382146, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7724,48, ?,185291, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+7725,53, Private,30447, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7726,58, Private,49893, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+7727,22, Private,197387, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,24, Mexico, <=50K
+7728,36, Self-emp-not-inc,111957, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K
+7729,34, Private,340458, 12th,8, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7730,43, Private,185670, 1st-4th,2, Widowed, Prof-specialty, Unmarried, White, Female,0,0,21, Mexico, <=50K
+7731,37, Private,210945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,24, United-States, <=50K
+7732,43, Private,350661, Prof-school,15, Separated, Tech-support, Not-in-family, White, Male,0,0,50, Columbia, >50K
+7733,42, Private,190543, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+7734,21, Private,70261, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+7735,49, Self-emp-not-inc,179048, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Greece, <=50K
+7736,35, Private,242094, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K
+7737,49, Self-emp-not-inc,117634, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,30, United-States, <=50K
+7738,28, Private,82531, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7739,51, Private,193374, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+7740,30, ?,186420, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7741,19, Private,323605, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, >50K
+7742,56, Private,371064, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7743,20, Private,39927, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,8, United-States, <=50K
+7744,22, Private,64292, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K
+7745,33, Private,198660, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,99999,0,56, United-States, >50K
+7746,54, ?,196975, HS-grad,9, Divorced, ?, Other-relative, White, Male,0,0,45, United-States, <=50K
+7747,22, Private,210165, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7748,68, Private,144137, Some-college,10, Divorced, Priv-house-serv, Other-relative, White, Female,0,0,30, United-States, <=50K
+7749,56, Local-gov,155657, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+7750,23, ?,72953, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7751,69, Self-emp-not-inc,107548, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+7752,41, Private,163258, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7753,33, Private,221324, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7754,18, Private,444822, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, Mexico, <=50K
+7755,17, Private,154398, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,16, Haiti, <=50K
+7756,31, Private,120672, 11th,7, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,1721,40, United-States, <=50K
+7757,50, Private,159650, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K
+7758,62, Private,290754, 10th,6, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7759,41, Private,49654, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K
+7760,20, Federal-gov,147352, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7761,23, Private,227943, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+7762,18, Private,423024, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+7763,53, ?,64322, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7764,42, Private,445940, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+7765,23, Private,230824, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7766,43, Private,48882, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+7767,47, Private,168195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+7768,53, Local-gov,188644, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+7769,28, Private,136077, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7770,28, State-gov,119793, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+7771,44, Private,336513, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+7772,58, Private,186991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7773,25, ?,218948, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,32, Mexico, <=50K
+7774,26, Private,211435, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+7775,36, Self-emp-not-inc,280169, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456,0,8, United-States, <=50K
+7776,27, Private,109997, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7777,39, Private,286789, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+7778,25, Private,102460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+7779,17, Private,287160, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+7780,39, Private,198097, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+7781,52, Private,119111, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7782,24, Private,174461, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7783,26, Self-emp-not-inc,281678, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+7784,24, ?,377725, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7785,32, Private,151053, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+7786,49, Local-gov,186539, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+7787,20, ?,149478, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K
+7788,40, Private,198452, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+7789,52, Private,198863, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,60, United-States, >50K
+7790,33, Private,176711, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7791,19, Private,165310, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,20, United-States, <=50K
+7792,37, Private,213008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Japan, <=50K
+7793,21, State-gov,38251, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K
+7794,33, Private,125761, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,36, United-States, <=50K
+7795,28, Private,148645, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7796,48, Private,273435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K
+7797,43, Private,208613, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7798,32, Private,192565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7799,28, Private,183885, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+7800,47, Self-emp-not-inc,243631, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+7801,37, Private,191754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+7802,26, Private,261278, Some-college,10, Separated, Sales, Other-relative, Black, Male,0,0,30, United-States, <=50K
+7803,55, Private,127014, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+7804,40, Private,197919, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+7805,31, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7806,39, Private,86551, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+7807,54, Self-emp-inc,98051, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, >50K
+7808,38, Private,215917, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+7809,53, Self-emp-not-inc,192982, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, United-States, <=50K
+7810,27, Self-emp-not-inc,334132, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,78, United-States, <=50K
+7811,42, Private,136986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7812,62, Private,116812, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7813,47, Private,189123, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,58, United-States, <=50K
+7814,26, Private,89648, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7815,33, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K
+7816,59, Private,99248, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7817,42, Private,57600, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+7818,25, Private,199224, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+7819,58, Private,140363, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,36, United-States, <=50K
+7820,30, Private,308812, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+7821,21, Private,275421, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+7822,61, Private,213321, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+7823,33, Private,157747, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+7824,51, Private,182314, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+7825,70, Private,220589, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K
+7826,55, ?,208640, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+7827,29, Self-emp-not-inc,189346, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,2202,0,50, United-States, <=50K
+7828,46, Private,124071, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, <=50K
+7829,35, Federal-gov,20469, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+7830,31, Private,154227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K
+7831,37, Private,105044, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+7832,43, Private,35910, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K
+7833,23, Private,189203, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7834,41, Private,116493, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,13550,0,44, United-States, >50K
+7835,42, Local-gov,19700, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+7836,26, Private,48718, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,2907,0,40, United-States, <=50K
+7837,45, Private,106113, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7838,25, Private,256263, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+7839,33, ?,202498, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+7840,38, Private,120074, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+7841,28, Private,122922, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7842,68, Self-emp-not-inc,116903, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2149,40, United-States, <=50K
+7843,42, Local-gov,222596, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+7844,35, Private,107302, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, India, <=50K
+7845,36, Private,156400, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7846,33, Private,53373, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+7847,22, Private,58916, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+7848,45, Local-gov,167159, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K
+7849,24, Private,283806, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7850,57, Private,140426, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, ?, <=50K
+7851,36, Local-gov,61778, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+7852,41, Private,33310, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7853,26, Self-emp-not-inc,202560, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K
+7854,25, Self-emp-not-inc,60828, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,50, United-States, <=50K
+7855,53, State-gov,153486, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+7856,28, Local-gov,167536, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+7857,30, Local-gov,370990, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7858,38, Self-emp-not-inc,198867, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7859,37, Local-gov,174924, Some-college,10, Divorced, Protective-serv, Unmarried, White, Male,0,0,48, Germany, <=50K
+7860,30, Private,175856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K
+7861,41, Private,169628, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, ?, <=50K
+7862,29, ?,125159, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,36, ?, <=50K
+7863,31, Private,220690, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K
+7864,36, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,55, United-States, <=50K
+7865,59, Self-emp-not-inc,116878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Greece, <=50K
+7866,33, Self-emp-not-inc,134737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+7867,29, Private,81648, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K
+7868,49, State-gov,122177, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+7869,50, Federal-gov,69614, 10th,6, Separated, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K
+7870,33, Private,112115, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K
+7871,28, Private,299422, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+7872,81, ?,162882, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+7873,24, Private,112854, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K
+7874,32, Self-emp-not-inc,33417, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+7875,47, Federal-gov,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+7876,44, ?,468706, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+7877,24, Private,357028, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+7878,37, Local-gov,51158, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,7298,0,36, United-States, >50K
+7879,51, Private,186303, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+7880,52, Private,127749, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+7881,22, Private,291386, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7882,28, Private,138054, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+7883,47, Self-emp-not-inc,174533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7884,43, Private,200835, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7885,25, Private,108658, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7886,43, Private,180985, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+7887,25, Private,34803, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K
+7888,59, Private,75867, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+7889,29, Private,156819, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+7890,30, Private,61272, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Portugal, <=50K
+7891,24, Private,39827, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Puerto-Rico, <=50K
+7892,38, Private,130007, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7893,37, Self-emp-not-inc,80324, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+7894,26, Private,322614, Preschool,1, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,1719,40, Mexico, <=50K
+7895,30, Private,140869, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+7896,73, Local-gov,181902, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, Poland, >50K
+7897,30, Private,287908, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+7898,33, Private,309630, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+7899,46, Private,28225, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,58, United-States, <=50K
+7900,40, ?,428584, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,3464,0,20, United-States, <=50K
+7901,18, Private,39222, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+7902,35, Private,359131, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,8, ?, >50K
+7903,22, Private,122272, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+7904,50, Self-emp-inc,198400, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, <=50K
+7905,62, ?,73091, 7th-8th,4, Widowed, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+7906,39, Self-emp-inc,283338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+7907,22, Private,208946, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+7908,33, Private,348416, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+7909,31, Private,379046, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+7910,29, Private,183887, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+7911,38, Self-emp-not-inc,127961, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+7912,24, Private,211129, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+7913,29, Local-gov,187649, HS-grad,9, Separated, Protective-serv, Other-relative, White, Female,0,0,40, United-States, <=50K
+7914,49, Federal-gov,94754, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+7915,33, Private,231826, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+7916,28, Private,142764, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K
+7917,22, Private,126822, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,60, United-States, <=50K
+7918,37, Private,188069, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7919,30, Private,284395, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+7920,49, Private,31267, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7921,29, Private,161444, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Columbia, <=50K
+7922,25, Private,144483, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+7923,36, Private,133655, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+7924,36, State-gov,112074, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+7925,21, Private,249727, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K
+7926,18, Private,165754, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+7927,30, Local-gov,172822, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7928,44, Private,288433, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+7929,40, Private,33331, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+7930,43, Private,168071, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, <=50K
+7931,45, Private,207277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+7932,29, Private,130620, Some-college,10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,26, India, <=50K
+7933,40, Private,136244, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+7934,43, Private,972354, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K
+7935,20, Private,245297, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+7936,32, State-gov,71151, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K
+7937,19, Private,118352, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+7938,21, Private,117210, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+7939,23, Private,120068, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+7940,24, Private,48343, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+7941,52, Private,84451, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+7942,51, ?,76437, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+7943,19, Private,281704, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+7944,54, Private,123011, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+7945,50, Private,104729, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,48, United-States, <=50K
+7946,29, Private,110134, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7947,17, Private,186067, 10th,6, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K
+7948,47, Private,214702, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, Puerto-Rico, <=50K
+7949,46, Private,384795, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,32, United-States, <=50K
+7950,30, Private,175931, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K
+7951,58, Private,366324, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K
+7952,48, Private,118717, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+7953,23, Private,219835, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Mexico, <=50K
+7954,23, Private,176486, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K
+7955,45, Private,273435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7956,20, Private,182661, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K
+7957,26, Private,212304, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K
+7958,50, Local-gov,133963, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K
+7959,49, Private,165152, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+7960,26, Private,274724, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K
+7961,47, Private,196707, Prof-school,15, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7962,31, Private,213002, 12th,8, Never-married, Sales, Not-in-family, White, Male,4650,0,50, United-States, <=50K
+7963,19, ?,26620, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+7964,23, Private,361481, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+7965,35, Private,148581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+7966,46, Private,459189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, >50K
+7967,28, Self-emp-not-inc,214689, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7968,58, Private,289364, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K
+7969,21, Private,174907, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+7970,50, Self-emp-not-inc,348099, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+7971,30, ?,104965, 9th,5, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+7972,31, Private,31600, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+7973,31, Self-emp-not-inc,286282, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+7974,35, Self-emp-not-inc,181705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+7975,33, Private,238912, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+7976,34, Private,134737, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K
+7977,67, ?,157403, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,6418,0,10, United-States, >50K
+7978,37, Private,197429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K
+7979,48, Private,47343, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+7980,34, Federal-gov,67083, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,1471,0,40, Cambodia, <=50K
+7981,24, Private,249957, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+7982,55, Private,175942, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, France, <=50K
+7983,50, Private,192982, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,40, United-States, >50K
+7984,40, Private,209547, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K
+7985,33, Private,142675, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+7986,51, Federal-gov,190333, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7987,30, Private,196396, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+7988,41, Private,166740, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7989,47, Local-gov,174533, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+7990,27, Private,210867, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, ?, <=50K
+7991,37, Private,118486, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,4934,0,32, United-States, >50K
+7992,40, Private,144067, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+7993,36, Private,106964, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+7994,37, Private,178136, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+7995,38, Private,196554, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K
+7996,40, Self-emp-not-inc,403550, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+7997,35, Private,498216, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+7998,47, Self-emp-not-inc,192755, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,20, United-States, >50K
+7999,20, ?,53738, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+8000,33, Private,156192, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+8001,45, Private,189802, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8002,66, ?,213149, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1825,40, United-States, >50K
+8003,35, Self-emp-not-inc,179171, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,38, Germany, <=50K
+8004,32, Private,77634, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+8005,23, Private,189830, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K
+8006,19, Private,127190, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+8007,44, ?,174147, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+8008,20, Private,138107, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,35, United-States, <=50K
+8009,44, Self-emp-inc,269733, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+8010,41, State-gov,227734, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,40, United-States, <=50K
+8011,19, Private,318822, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+8012,48, Private,48885, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+8013,45, Private,205424, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+8014,40, Private,173858, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,42, Cambodia, <=50K
+8015,34, Private,202450, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+8016,20, Private,154779, Some-college,10, Never-married, Sales, Other-relative, Other, Female,0,0,40, United-States, <=50K
+8017,33, Private,180551, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+8018,30, Private,177522, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+8019,23, Private,277328, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, Cuba, <=50K
+8020,34, Private,112584, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+8021,48, State-gov,85384, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8022,32, ?,123971, 11th,7, Divorced, ?, Not-in-family, White, Female,0,0,49, United-States, <=50K
+8023,42, Private,69019, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+8024,22, Private,112847, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+8025,60, Self-emp-not-inc,52900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K
+8026,42, Private,37937, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+8027,45, Private,59380, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+8028,47, Private,114770, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+8029,29, Private,216481, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+8030,34, Private,176469, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K
+8031,34, Private,176831, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+8032,39, Federal-gov,410034, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+8033,29, Private,93662, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, United-States, <=50K
+8034,42, Self-emp-inc,144236, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8035,48, Private,240917, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+8036,53, Private,608184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K
+8037,51, Private,243361, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+8038,44, Self-emp-not-inc,35166, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,90, United-States, <=50K
+8039,46, Self-emp-inc,182655, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+8040,51, Private,142717, Doctorate,16, Divorced, Craft-repair, Not-in-family, White, Female,4787,0,60, United-States, >50K
+8041,32, Private,272944, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8042,22, ?,219233, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,1602,30, United-States, <=50K
+8043,24, Private,228686, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+8044,33, Private,236818, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,26, United-States, <=50K
+8045,47, Self-emp-not-inc,117865, HS-grad,9, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K
+8046,64, Self-emp-not-inc,106538, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8047,62, Private,153891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+8048,52, Private,190909, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8049,39, Private,191002, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, Poland, <=50K
+8050,42, Private,89073, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+8051,38, Federal-gov,238342, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,42, United-States, >50K
+8052,55, Private,259532, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+8053,29, ?,189282, HS-grad,9, Married-civ-spouse, ?, Not-in-family, White, Female,0,0,27, United-States, <=50K
+8054,42, Private,132481, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,24, United-States, <=50K
+8055,30, Private,205659, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, Thailand, >50K
+8056,32, Private,182323, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8057,36, ?,216256, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3464,0,30, United-States, <=50K
+8058,50, Federal-gov,166419, 11th,7, Never-married, Sales, Not-in-family, Black, Female,3674,0,40, United-States, <=50K
+8059,27, Private,152246, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+8060,47, Private,155659, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+8061,33, Private,155198, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K
+8062,48, Self-emp-not-inc,100931, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8063,23, Private,162945, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+8064,31, Federal-gov,334346, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8065,26, Private,181597, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+8066,61, Self-emp-not-inc,133969, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,63, South, <=50K
+8067,50, Private,210217, Bachelors,13, Divorced, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K
+8068,49, Private,169711, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K
+8069,57, ?,300104, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,7298,0,84, United-States, >50K
+8070,19, Private,271521, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K
+8071,18, Private,51255, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+8072,44, Self-emp-not-inc,26669, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K
+8073,54, Private,194580, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+8074,35, State-gov,177974, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+8075,27, State-gov,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, China, <=50K
+8076,50, Self-emp-inc,136913, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+8077,43, State-gov,230961, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8078,28, Private,167062, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+8079,47, Private,120131, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8080,21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K
+8081,30, Private,171876, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+8082,19, Private,136866, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K
+8083,40, Private,316820, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,40, United-States, <=50K
+8084,55, Private,185459, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+8085,67, ?,81761, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+8086,31, Private,43716, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,43, United-States, <=50K
+8087,30, Private,220939, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8088,54, ?,148657, Preschool,1, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K
+8089,51, Federal-gov,40808, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,43, United-States, <=50K
+8090,34, Private,183473, HS-grad,9, Divorced, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K
+8091,59, Private,108496, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+8092,50, Private,204838, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K
+8093,29, Private,132686, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+8094,17, State-gov,117906, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+8095,24, Private,304386, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+8096,52, ?,248113, Preschool,1, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, Mexico, <=50K
+8097,39, Private,165215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,18, United-States, >50K
+8098,18, ?,215463, 12th,8, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+8099,32, Private,259719, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Male,0,0,40, Nicaragua, <=50K
+8100,25, ?,35829, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, <=50K
+8101,34, Private,248795, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K
+8102,44, Self-emp-not-inc,124692, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+8103,37, Local-gov,128054, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+8104,39, Private,179731, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,65, United-States, >50K
+8105,32, Self-emp-inc,113543, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8106,23, Private,252153, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+8107,45, Federal-gov,45891, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,42, United-States, <=50K
+8108,30, Private,112263, 11th,7, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+8109,20, Private,47791, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K
+8110,41, Private,202980, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, Peru, <=50K
+8111,21, Private,34918, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+8112,48, Private,91251, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K
+8113,31, Private,132996, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,45, United-States, >50K
+8114,34, Private,306215, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8115,25, Private,203570, HS-grad,9, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+8116,41, Self-emp-not-inc,355918, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+8117,35, Self-emp-not-inc,198841, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+8118,42, Private,282964, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+8119,34, Self-emp-not-inc,312197, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, Mexico, >50K
+8120,44, Private,98779, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,60, United-States, <=50K
+8121,32, Private,200246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8122,25, Private,182771, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+8123,23, Private,199908, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+8124,36, Private,172104, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,40, India, >50K
+8125,53, Self-emp-not-inc,35295, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K
+8126,27, Private,216858, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K
+8127,27, Private,332187, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K
+8128,57, Private,255109, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+8129,17, Private,111332, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+8130,59, Local-gov,238431, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+8131,34, Private,131552, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+8132,30, Private,110239, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+8133,31, State-gov,255830, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,45, United-States, <=50K
+8134,18, ?,175648, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+8135,23, Private,82998, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+8136,19, Private,164320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8137,20, Self-emp-not-inc,263498, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+8138,52, Self-emp-not-inc,162381, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8139,39, Local-gov,229651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+8140,27, Private,357348, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+8141,19, Private,269657, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+8142,38, Local-gov,82880, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, <=50K
+8143,19, Private,389755, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+8144,34, Private,195136, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K
+8145,41, Private,207685, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, ?, <=50K
+8146,23, Private,222925, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,2105,0,40, United-States, <=50K
+8147,24, ?,196388, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K
+8148,24, Private,50341, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8149,22, Private,214134, 10th,6, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K
+8150,45, Private,114032, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+8151,45, Private,192053, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+8152,48, Private,240231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K
+8153,42, Private,44402, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+8154,35, Self-emp-not-inc,191503, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+8155,32, Private,163530, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+8156,51, Local-gov,136823, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, <=50K
+8157,59, Private,121912, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8158,31, Local-gov,58624, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8159,27, Local-gov,74056, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8160,29, Private,144259, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,4386,0,80, ?, >50K
+8161,57, Private,182028, Assoc-acdm,12, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+8162,40, Private,209040, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8163,31, Private,206046, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8164,23, Private,182494, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+8165,42, Private,185057, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, Scotland, <=50K
+8166,60, Private,147473, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8167,53, Local-gov,221722, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14344,0,50, United-States, >50K
+8168,20, ?,388811, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+8169,27, Private,221912, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+8170,31, Private,48189, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+8171,29, State-gov,382272, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8172,22, Private,48347, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+8173,42, Private,143046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,38, United-States, >50K
+8174,63, Self-emp-inc,137940, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+8175,28, Private,249571, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8176,79, Private,121318, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K
+8177,39, Private,224531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+8178,29, Private,185019, 12th,8, Never-married, Other-service, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+8179,60, Private,27886, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8180,58, Private,94741, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K
+8181,20, Private,107801, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,2205,18, United-States, <=50K
+8182,44, Private,191256, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K
+8183,47, Private,256866, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+8184,59, Private,197148, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, >50K
+8185,37, Private,312271, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K
+8186,21, Private,118657, HS-grad,9, Separated, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+8187,68, Private,224338, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8188,43, Private,242488, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K
+8189,23, ?,234970, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+8190,23, Private,227915, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,33, United-States, <=50K
+8191,40, Local-gov,105717, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,1876,35, United-States, <=50K
+8192,45, Self-emp-not-inc,160962, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+8193,34, ?,353881, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,3103,0,60, United-States, >50K
+8194,22, Private,188950, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+8195,38, Private,201328, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+8196,24, Private,218678, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,49, United-States, <=50K
+8197,23, Private,184255, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+8198,39, Federal-gov,200968, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,45, United-States, >50K
+8199,26, Private,102264, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8200,24, Private,300584, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+8201,22, Private,208946, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+8202,36, Private,105021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+8203,20, Private,124751, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,20, United-States, <=50K
+8204,18, Private,274057, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,8, United-States, <=50K
+8205,38, Private,132879, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8206,43, Self-emp-inc,260960, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K
+8207,56, Private,208415, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, ?, <=50K
+8208,42, Private,356934, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8209,35, Private,154410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+8210,31, Private,35378, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+8211,73, Private,301210, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1735,20, United-States, <=50K
+8212,32, Private,73621, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K
+8213,37, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+8214,66, Private,217198, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,10, United-States, <=50K
+8215,22, Private,157332, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+8216,51, Private,202956, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8217,31, Private,173495, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+8218,65, Private,149811, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2206,59, Canada, <=50K
+8219,39, Private,444219, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,45, United-States, <=50K
+8220,48, Private,125120, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K
+8221,20, Private,190429, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8222,28, ?,190303, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+8223,48, Private,248164, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, >50K
+8224,29, Federal-gov,208534, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K
+8225,36, Self-emp-not-inc,343721, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, ?, >50K
+8226,35, Self-emp-inc,196373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+8227,31, Private,433788, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+8228,48, State-gov,122086, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+8229,36, Private,137314, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+8230,40, Self-emp-not-inc,33068, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+8231,57, Private,210688, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K
+8232,26, Local-gov,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,35, United-States, <=50K
+8233,37, State-gov,103474, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+8234,65, Private,115880, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8235,26, Self-emp-not-inc,233933, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K
+8236,42, Private,52781, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+8237,47, Private,586657, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Japan, >50K
+8238,62, Private,113080, 7th-8th,4, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8239,27, Private,251905, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K
+8240,76, Self-emp-not-inc,225964, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,8, United-States, <=50K
+8241,20, ?,194096, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+8242,29, Private,263831, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+8243,29, Private,133136, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+8244,32, Private,121634, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K
+8245,22, Self-emp-inc,40767, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8246,30, Federal-gov,355789, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,50, United-States, <=50K
+8247,43, Local-gov,311914, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8248,23, Private,91189, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+8249,44, Federal-gov,344060, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8250,41, Private,113823, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8251,49, State-gov,185800, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,7430,0,40, United-States, >50K
+8252,30, Private,76107, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, >50K
+8253,23, Private,117618, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+8254,39, Private,238008, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+8255,32, Private,136480, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+8256,50, Private,285200, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,35, United-States, >50K
+8257,19, Private,351040, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K
+8258,35, Private,1226583, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+8259,23, Private,195767, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8260,25, Private,187540, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8261,40, Private,79372, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8262,30, Private,226665, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,42, United-States, >50K
+8263,52, Private,213209, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8264,49, Private,211005, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,60, United-States, <=50K
+8265,24, Private,96178, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+8266,46, Private,328216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+8267,39, Private,110713, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+8268,45, Self-emp-not-inc,225456, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+8269,62, Local-gov,159908, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1258,38, United-States, <=50K
+8270,43, Private,118308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+8271,45, Private,180309, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+8272,62, Self-emp-not-inc,39630, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8273,48, Private,273828, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+8274,56, Private,172071, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K
+8275,28, Private,218887, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Female,0,0,35, United-States, <=50K
+8276,23, Private,664670, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+8277,43, Private,209149, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+8278,26, Private,84619, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8279,36, Private,447346, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+8280,55, Local-gov,37869, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+8281,48, State-gov,99086, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+8282,43, Private,143582, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,2129,72, ?, <=50K
+8283,38, Private,326886, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+8284,18, Private,181755, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+8285,56, Self-emp-not-inc,249368, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K
+8286,39, Self-emp-not-inc,326400, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8287,46, Private,504725, 5th-6th,3, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,50, Mexico, <=50K
+8288,36, Private,88967, 11th,7, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K
+8289,42, Self-emp-not-inc,170721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K
+8290,50, Private,148953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+8291,17, Private,342752, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+8292,57, Private,220871, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+8293,73, Private,29675, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,12, United-States, <=50K
+8294,50, Federal-gov,183611, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8295,35, Private,115215, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K
+8296,27, Private,152231, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+8297,24, ?,41356, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8298,27, Private,225142, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8299,23, Self-emp-not-inc,121313, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8300,25, Private,134821, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+8301,51, Private,311350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8302,26, Private,102106, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+8303,47, Private,427055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Mexico, <=50K
+8304,40, Private,117860, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8305,58, Private,285885, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8306,25, Private,212800, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+8307,29, Private,194864, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,18, United-States, <=50K
+8308,36, Private,31438, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K
+8309,46, Private,148254, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+8310,69, Private,113035, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,4, United-States, <=50K
+8311,69, Private,106595, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,1848,0,40, United-States, <=50K
+8312,28, Private,144521, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+8313,20, Private,172232, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,48, United-States, <=50K
+8314,54, State-gov,123592, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,3887,0,35, United-States, <=50K
+8315,25, Private,191921, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8316,64, Local-gov,237379, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3471,0,40, United-States, <=50K
+8317,17, Private,208463, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+8318,53, Federal-gov,68985, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+8319,50, Private,22418, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8320,57, Private,163047, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, <=50K
+8321,51, Private,153870, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2603,40, United-States, <=50K
+8322,20, ?,124954, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+8323,47, Private,197702, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8324,25, Private,166415, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,52, United-States, <=50K
+8325,50, State-gov,116211, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K
+8326,20, Private,33644, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+8327,43, State-gov,33331, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K
+8328,46, Private,73019, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8329,54, Private,169182, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, Puerto-Rico, <=50K
+8330,53, Private,20438, Some-college,10, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K
+8331,21, Private,109869, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+8332,58, Private,316849, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8333,30, Private,208043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+8334,61, Private,153790, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+8335,56, State-gov,153451, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+8336,59, Private,96840, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8337,72, Private,192732, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K
+8338,33, Private,209101, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8339,46, Private,146919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+8340,46, Local-gov,192323, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K
+8341,48, Private,217019, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,28, United-States, <=50K
+8342,33, Private,198211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8343,21, Private,222490, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+8344,27, Private,106758, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+8345,31, Private,561334, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8346,28, Private,203710, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8347,45, Local-gov,203322, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+8348,51, Private,123703, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K
+8349,46, State-gov,312015, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+8350,25, Private,209428, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, El-Salvador, <=50K
+8351,61, Private,230292, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K
+8352,17, Private,114420, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+8353,26, Private,120238, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+8354,35, Private,100375, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8355,33, Self-emp-not-inc,42485, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+8356,37, Private,130620, 12th,8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,33, ?, <=50K
+8357,39, Local-gov,134367, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+8358,42, Private,147099, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+8359,35, Private,36214, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,47, United-States, >50K
+8360,45, Private,119904, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, >50K
+8361,47, Self-emp-inc,105779, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K
+8362,64, Private,165020, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+8363,39, Private,187098, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,47, United-States, >50K
+8364,43, ?,142030, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+8365,34, Private,241360, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+8366,62, Private,121319, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K
+8367,53, Private,151580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+8368,31, Private,162572, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8369,26, Private,35917, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8370,56, Self-emp-inc,35723, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+8371,43, Private,194773, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8372,33, Private,62155, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+8373,45, Self-emp-not-inc,192203, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K
+8374,46, Private,174370, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+8375,26, Private,161007, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, <=50K
+8376,24, Private,270517, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K
+8377,43, Private,163847, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+8378,40, Private,193882, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+8379,61, Private,160037, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+8380,34, Federal-gov,189944, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,72, United-States, <=50K
+8381,85, Private,115364, HS-grad,9, Widowed, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K
+8382,41, Private,163174, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8383,31, State-gov,188900, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,35, United-States, <=50K
+8384,22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+8385,60, Private,156616, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+8386,29, Private,204862, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+8387,34, ?,55921, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+8388,35, State-gov,172475, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,2977,0,45, United-States, <=50K
+8389,24, Private,153082, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+8390,45, Local-gov,195418, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8391,21, Local-gov,276840, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+8392,30, Private,97933, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Wife, White, Female,0,1485,37, United-States, >50K
+8393,50, Self-emp-inc,119099, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K
+8394,41, Self-emp-not-inc,83411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8395,21, Private,198992, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K
+8396,45, Private,337825, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+8397,34, Private,192002, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8398,28, Private,189346, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+8399,19, Private,231962, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+8400,26, Private,164488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,50, United-States, >50K
+8401,48, Private,200471, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+8402,69, Private,228921, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Male,0,2282,40, United-States, >50K
+8403,41, Private,184846, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+8404,43, Private,233851, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8405,28, Private,499001, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K
+8406,65, Local-gov,125768, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K
+8407,31, Private,255004, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1741,38, United-States, <=50K
+8408,28, Private,157624, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8409,51, Private,146767, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8410,45, Private,118291, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,80, United-States, <=50K
+8411,43, Private,313181, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Male,0,0,38, United-States, <=50K
+8412,31, Private,87891, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+8413,31, Private,226443, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+8414,45, Private,81132, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+8415,20, Private,216436, Bachelors,13, Never-married, Sales, Other-relative, Black, Female,0,0,30, United-States, <=50K
+8416,25, Private,213412, Bachelors,13, Never-married, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K
+8417,36, Private,179358, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,30, United-States, <=50K
+8418,31, Private,369825, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,4101,0,50, United-States, <=50K
+8419,56, Private,199763, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+8420,26, Private,239390, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K
+8421,47, Self-emp-not-inc,173613, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K
+8422,40, Self-emp-inc,37869, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+8423,32, Private,302845, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,48, United-States, <=50K
+8424,34, State-gov,85218, Masters,14, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,24, United-States, <=50K
+8425,37, Private,48268, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+8426,38, Private,173968, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+8427,19, Private,70982, Assoc-voc,11, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,16, United-States, <=50K
+8428,49, Private,166857, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8429,18, ?,256191, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K
+8430,26, Private,162872, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8431,82, Private,152148, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,2, United-States, <=50K
+8432,40, Private,139193, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8433,28, Private,791084, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+8434,23, Private,137214, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,37, United-States, <=50K
+8435,19, Private,183258, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+8436,67, Private,154035, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, Black, Male,0,0,32, United-States, <=50K
+8437,43, Private,115323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K
+8438,41, Private,213055, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,50, United-States, <=50K
+8439,37, Private,155064, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+8440,20, Private,33551, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8441,40, Private,169995, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+8442,47, Private,168262, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,99999,0,50, United-States, >50K
+8443,40, Private,104196, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+8444,39, State-gov,114055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8445,24, Private,274398, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+8446,78, ?,27979, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2228,0,32, United-States, <=50K
+8447,67, ?,244122, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K
+8448,49, Private,196571, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+8449,66, Private,101607, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K
+8450,52, Private,122109, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,323,40, United-States, <=50K
+8451,59, Self-emp-inc,255822, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8452,72, Private,195184, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,12, Cuba, <=50K
+8453,35, Federal-gov,245372, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8454,30, Private,169583, Bachelors,13, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+8455,36, Private,224531, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8456,26, Private,186151, HS-grad,9, Separated, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+8457,23, Private,118693, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+8458,39, Private,297449, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8459,40, Self-emp-not-inc,125206, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+8460,29, Private,393264, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8461,38, Private,108140, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+8462,63, Private,264968, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8463,58, Self-emp-not-inc,318106, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8464,30, Private,156025, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+8465,38, State-gov,149455, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+8466,25, Private,359985, 5th-6th,3, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,33, Mexico, <=50K
+8467,44, State-gov,165108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8468,43, Private,115178, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+8469,21, Private,149224, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+8470,41, Local-gov,352056, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8471,38, Private,174717, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+8472,75, ?,173064, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+8473,29, Private,147755, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K
+8474,52, Self-emp-not-inc,135716, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+8475,47, Private,44216, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+8476,28, Private,37359, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+8477,24, Private,178255, Some-college,10, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, ?, <=50K
+8478,30, State-gov,70617, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,10, China, <=50K
+8479,30, Private,154950, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+8480,40, Private,356934, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+8481,27, Private,271714, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+8482,26, Private,247025, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,44, United-States, <=50K
+8483,32, Private,107417, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K
+8484,36, State-gov,116554, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8485,26, Private,917220, 12th,8, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+8486,25, Private,430084, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8487,39, Private,202937, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, Poland, <=50K
+8488,27, Private,62737, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+8489,24, Private,508548, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+8490,38, Self-emp-inc,275223, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+8491,35, Self-emp-not-inc,381931, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+8492,29, Private,246974, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8493,49, Private,105431, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+8494,36, Private,146311, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8495,47, Self-emp-not-inc,159869, Doctorate,16, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+8496,21, Private,204641, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+8497,35, Private,66297, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K
+8498,38, Private,227615, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+8499,66, ?,107744, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+8500,45, Private,360393, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+8501,19, Private,263340, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+8502,18, Private,141918, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K
+8503,37, Private,294292, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8504,49, Private,128736, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+8505,33, Local-gov,511289, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K
+8506,27, Private,302406, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+8507,34, Local-gov,101517, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+8508,54, State-gov,161334, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K
+8509,24, Self-emp-inc,189148, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8510,44, Self-emp-not-inc,103111, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+8511,48, Self-emp-not-inc,51620, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8512,23, Private,31606, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+8513,29, Private,34292, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,38, United-States, <=50K
+8514,21, Private,107882, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K
+8515,18, Private,39529, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+8516,18, Private,135315, 9th,5, Never-married, Sales, Own-child, Other, Female,0,0,32, United-States, <=50K
+8517,29, Private,107812, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8518,29, Private,229729, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8519,41, Private,111891, HS-grad,9, Separated, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K
+8520,32, Private,340917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8521,61, Private,202952, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K
+8522,79, Private,333230, HS-grad,9, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,6, United-States, <=50K
+8523,34, Private,114955, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8524,46, Private,159869, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8525,50, Self-emp-not-inc,57758, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+8526,29, Private,207064, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8527,23, Private,193090, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K
+8528,64, Private,151364, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8529,70, Local-gov,88638, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,7896,0,50, United-States, >50K
+8530,28, Local-gov,304960, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K
+8531,51, Private,102828, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Greece, <=50K
+8532,20, ?,210029, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+8533,34, State-gov,154246, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,4865,0,55, United-States, <=50K
+8534,29, Private,142519, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+8535,49, Private,104455, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+8536,77, Self-emp-inc,192230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8537,32, Private,292592, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+8538,27, Private,330132, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+8539,22, Private,51111, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8540,35, Local-gov,258037, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, >50K
+8541,42, Local-gov,188291, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K
+8542,35, State-gov,349066, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+8543,62, ?,191188, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+8544,33, Private,133503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,2635,0,16, United-States, <=50K
+8545,45, Private,146497, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K
+8546,19, Private,240468, Some-college,10, Married-spouse-absent, Sales, Own-child, White, Female,0,1602,40, United-States, <=50K
+8547,38, Private,175120, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8548,26, Private,416577, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,45, United-States, <=50K
+8549,29, Private,253814, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+8550,33, Private,159247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8551,35, Self-emp-not-inc,102471, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,80, Puerto-Rico, <=50K
+8552,42, Private,213464, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8553,20, Private,211968, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+8554,43, Federal-gov,32016, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8555,69, Private,512992, 11th,7, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,45, United-States, <=50K
+8556,39, Private,135020, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8557,37, Private,109133, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K
+8558,28, Private,142712, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8559,26, Federal-gov,76900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8560,32, Private,112176, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+8561,43, Federal-gov,262233, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+8562,49, Private,122066, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, Hungary, <=50K
+8563,28, Private,194690, 7th-8th,4, Separated, Other-service, Own-child, White, Male,0,0,60, Mexico, <=50K
+8564,35, Private,306678, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K
+8565,19, ?,217769, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,10, United-States, <=50K
+8566,35, Local-gov,308945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8567,57, Private,46699, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+8568,45, Private,377757, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+8569,23, Private,220993, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1590,48, United-States, <=50K
+8570,45, Private,102147, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8571,42, Private,113770, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+8572,35, Private,139012, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+8573,45, Private,148900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+8574,28, Federal-gov,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8575,64, Self-emp-inc,181408, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K
+8576,44, Local-gov,101950, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+8577,59, Self-emp-not-inc,32537, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+8578,41, Private,209547, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8579,21, Private,202373, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K
+8580,29, Self-emp-not-inc,151476, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,2174,0,40, United-States, <=50K
+8581,51, Self-emp-not-inc,174824, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,8614,0,40, United-States, >50K
+8582,22, Private,138768, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+8583,49, Private,143482, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8584,53, Private,200190, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K
+8585,38, Private,168407, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,5721,0,44, United-States, <=50K
+8586,23, Private,148315, Some-college,10, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8587,20, Private,270517, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K
+8588,40, Private,53506, Bachelors,13, Divorced, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+8589,25, Private,105693, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8590,27, Private,189589, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8591,20, Private,164574, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+8592,37, Private,185744, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K
+8593,40, Local-gov,33155, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+8594,28, Private,215955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K
+8595,38, Self-emp-not-inc,233571, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8596,42, Private,211253, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+8597,32, Federal-gov,191385, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+8598,20, Private,137895, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+8599,62, State-gov,159699, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+8600,31, Private,295922, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8601,31, Self-emp-not-inc,175856, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+8602,24, Private,216129, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+8603,62, Local-gov,407669, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+8604,43, Local-gov,214242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8605,21, Private,285457, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K
+8606,30, Self-emp-inc,124420, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+8607,22, ?,246386, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+8608,18, Private,142751, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8609,59, Local-gov,283635, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8610,24, Self-emp-not-inc,322931, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, >50K
+8611,49, Private,76482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8612,19, State-gov,431745, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+8613,48, Private,141944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K
+8614,32, Private,193042, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+8615,33, Private,67006, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K
+8616,23, Private,240398, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,15, United-States, <=50K
+8617,33, Federal-gov,182714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K
+8618,50, Federal-gov,172046, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+8619,30, Private,185177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, <=50K
+8620,32, Private,102858, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,42, United-States, <=50K
+8621,39, Private,84954, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,2829,0,65, United-States, <=50K
+8622,21, Private,115895, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+8623,23, Private,184589, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,21, United-States, <=50K
+8624,32, Private,282611, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8625,57, Private,218649, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+8626,22, State-gov,157541, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, United-States, <=50K
+8627,70, Private,145419, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K
+8628,34, Private,122616, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, >50K
+8629,53, Private,204584, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8630,21, Private,117210, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+8631,37, Private,69481, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8632,60, Self-emp-not-inc,148492, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, >50K
+8633,23, Private,106957, 11th,7, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,14344,0,40, Vietnam, >50K
+8634,32, Private,29312, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K
+8635,57, Private,120302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8636,65, ?,111916, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+8637,25, Private,182227, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+8638,30, Private,219110, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K
+8639,31, Private,200192, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K
+8640,19, Private,427862, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+8641,23, State-gov,33551, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K
+8642,44, Private,164043, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8643,43, ?,116632, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K
+8644,42, Private,175133, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+8645,34, Self-emp-not-inc,289731, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8646,32, Private,256362, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8647,25, Private,282612, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+8648,21, Private,73679, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+8649,31, Private,237824, HS-grad,9, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female,0,0,60, Jamaica, <=50K
+8650,36, Local-gov,357720, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8651,49, Self-emp-not-inc,155489, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, Poland, <=50K
+8652,44, Private,138077, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K
+8653,42, Private,183479, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+8654,30, Private,103596, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,99, United-States, <=50K
+8655,33, Private,172304, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8656,36, Self-emp-not-inc,313853, Bachelors,13, Divorced, Other-service, Unmarried, Black, Male,0,0,45, United-States, >50K
+8657,17, Private,294485, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+8658,20, Private,637080, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+8659,32, Private,385959, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+8660,33, Self-emp-not-inc,116539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8661,37, Private,129263, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K
+8662,60, Private,141253, 10th,6, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,48, United-States, <=50K
+8663,35, State-gov,35626, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K
+8664,43, Federal-gov,94937, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+8665,46, Private,220269, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+8666,29, Self-emp-not-inc,169544, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K
+8667,36, Private,214604, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K
+8668,27, Private,81540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8669,50, Private,24013, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, >50K
+8670,22, Private,124940, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,44, United-States, <=50K
+8671,33, State-gov,313729, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8672,61, Private,192237, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+8673,28, ?,168524, Assoc-voc,11, Married-civ-spouse, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+8674,41, Self-emp-not-inc,113324, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K
+8675,22, Private,215477, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+8676,27, Private,199903, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8677,25, Private,431861, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+8678,32, Private,105938, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,1602,20, United-States, <=50K
+8679,28, Private,274679, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8680,25, Private,177499, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,1590,35, United-States, <=50K
+8681,28, Private,206125, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8682,37, Local-gov,221740, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K
+8683,58, Private,202652, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K
+8684,39, Private,348960, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+8685,33, Private,171876, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8686,59, Private,157932, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8687,58, Private,201344, Bachelors,13, Divorced, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K
+8688,38, Private,354739, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,36, Philippines, >50K
+8689,34, Private,40067, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8690,31, Private,326862, Some-college,10, Divorced, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+8691,48, Local-gov,189762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8692,65, ?,149049, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+8693,45, Private,226246, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8694,80, ?,29020, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,10605,0,10, United-States, >50K
+8695,23, Private,38251, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+8696,33, Private,196385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K
+8697,38, Self-emp-not-inc,217054, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8698,44, Self-emp-not-inc,104973, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+8699,48, Local-gov,238959, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,9562,0,40, United-States, >50K
+8700,40, State-gov,34218, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8701,19, Local-gov,292962, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Female,0,0,40, United-States, <=50K
+8702,45, Private,235924, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+8703,34, Private,98656, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8704,70, Private,102610, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,80, United-States, <=50K
+8705,32, Local-gov,296466, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8706,33, Private,323069, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8707,24, Private,184756, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8708,30, Local-gov,233993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+8709,22, Private,130724, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K
+8710,52, Self-emp-inc,181855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999,0,65, United-States, >50K
+8711,67, Self-emp-not-inc,127543, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414,0,80, United-States, <=50K
+8712,40, Private,187164, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,45, United-States, <=50K
+8713,55, Private,113912, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K
+8714,29, Private,216479, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8715,62, Private,135480, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K
+8716,22, Private,204160, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+8717,64, State-gov,114650, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8718,29, Self-emp-not-inc,240172, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K
+8719,28, Private,184831, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8720,25, Private,124590, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K
+8721,47, State-gov,120429, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+8722,26, Private,202033, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+8723,18, Private,156874, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,27, United-States, <=50K
+8724,52, Self-emp-inc,177727, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,4064,0,45, United-States, <=50K
+8725,48, Local-gov,334409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+8726,36, Private,311255, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Haiti, <=50K
+8727,23, Private,214227, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+8728,41, Private,115849, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+8729,56, State-gov,671292, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K
+8730,53, Private,31460, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8731,26, Private,141824, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8732,22, Private,310152, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+8733,25, Private,179953, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,2597,0,31, United-States, <=50K
+8734,31, Private,137952, Some-college,10, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K
+8735,36, Private,103323, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K
+8736,46, Private,174426, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8737,46, State-gov,192779, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Male,0,2258,38, United-States, >50K
+8738,32, Private,169955, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, Puerto-Rico, <=50K
+8739,43, Self-emp-not-inc,48087, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8740,30, Private,132601, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+8741,41, Self-emp-inc,253060, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K
+8742,50, Private,108435, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K
+8743,37, State-gov,210452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K
+8744,22, Local-gov,134181, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K
+8745,51, Federal-gov,45487, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K
+8746,47, Private,183522, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K
+8747,40, Private,199303, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+8748,46, Private,83064, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8749,23, ?,134997, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+8750,30, Private,44419, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+8751,27, Self-emp-not-inc,442612, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+8752,31, Local-gov,158092, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+8753,31, Private,374833, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+8754,30, Private,112650, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8755,50, Local-gov,183390, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+8756,27, Private,207418, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+8757,22, ?,335453, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K
+8758,29, Private,243660, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+8759,28, Private,54243, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8760,54, Private,50385, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, >50K
+8761,47, State-gov,187581, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K
+8762,34, Private,37380, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+8763,26, Private,247025, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8764,53, ?,29231, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+8765,23, State-gov,101094, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,60, United-States, <=50K
+8766,42, Local-gov,176716, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8767,36, Self-emp-not-inc,118429, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+8768,52, Federal-gov,221532, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K
+8769,22, ?,120572, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+8770,27, Local-gov,124680, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8771,42, Private,153160, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+8772,39, Private,114678, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,5455,0,40, United-States, <=50K
+8773,49, State-gov,142856, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8774,36, Private,29702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+8775,20, Private,277700, Preschool,1, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K
+8776,55, Self-emp-inc,67433, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+8777,47, Private,121124, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8778,33, Private,394447, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,33, United-States, >50K
+8779,36, Private,79649, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+8780,39, Private,203763, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K
+8781,55, Private,229029, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K
+8782,21, ?,494638, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K
+8783,48, Private,162816, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+8784,30, Private,109117, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+8785,24, Private,32732, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+8786,57, Self-emp-not-inc,217692, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,38, United-States, <=50K
+8787,20, Private,34590, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K
+8788,18, ?,276864, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,20, United-States, <=50K
+8789,56, Private,168625, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,4101,0,40, United-States, <=50K
+8790,36, Private,91037, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+8791,44, Private,171484, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+8792,57, Private,200453, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K
+8793,57, Private,36990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, <=50K
+8794,33, Private,198211, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+8795,61, ?,30475, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+8796,39, Private,70995, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,99, United-States, >50K
+8797,28, Private,245790, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8798,31, Private,273324, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,16, United-States, <=50K
+8799,60, Private,182687, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8800,36, Local-gov,247807, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+8801,58, Private,163113, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K
+8802,50, Private,180522, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K
+8803,23, Local-gov,203353, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,12, United-States, <=50K
+8804,30, Private,87469, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8805,20, ?,216563, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+8806,90, Private,87372, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,72, United-States, >50K
+8807,49, Local-gov,173584, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+8808,47, Local-gov,80282, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,40, United-States, <=50K
+8809,34, Private,319854, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Taiwan, >50K
+8810,37, Federal-gov,408229, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+8811,25, Private,431307, 10th,6, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,50, United-States, <=50K
+8812,37, Private,134088, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8813,47, Private,246396, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K
+8814,34, Private,159255, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+8815,34, Private,106014, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8816,35, Private,186934, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+8817,39, Private,120130, Some-college,10, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+8818,32, State-gov,203849, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,19, United-States, <=50K
+8819,24, Private,207940, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K
+8820,28, Private,302406, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+8821,41, Self-emp-not-inc,144594, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K
+8822,69, ?,171050, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,9, United-States, <=50K
+8823,32, Private,459007, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,90, United-States, <=50K
+8824,58, Private,372181, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K
+8825,47, Self-emp-not-inc,172034, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K
+8826,41, Private,156566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K
+8827,35, Self-emp-inc,338320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+8828,24, Private,353696, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, Canada, <=50K
+8829,46, Self-emp-not-inc,342907, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K
+8830,69, Self-emp-inc,169717, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418,0,45, United-States, >50K
+8831,22, Private,103762, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+8832,36, State-gov,47570, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8833,31, Private,119432, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+8834,23, Local-gov,144165, Bachelors,13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+8835,35, Private,180647, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+8836,37, Local-gov,312232, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,5178,0,40, United-States, >50K
+8837,35, State-gov,150488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8838,18, Private,200876, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,16, United-States, <=50K
+8839,43, Private,188199, 9th,5, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+8840,53, State-gov,118793, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+8841,54, Local-gov,204325, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K
+8842,29, Private,256671, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+8843,46, Private,231515, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,47, Cuba, <=50K
+8844,24, Private,100669, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K
+8845,30, Private,88913, Some-college,10, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+8846,23, Private,363219, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,6, United-States, <=50K
+8847,27, ?,291547, Bachelors,13, Married-civ-spouse, ?, Not-in-family, Other, Female,0,0,6, Mexico, <=50K
+8848,36, Private,308945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8849,38, Self-emp-not-inc,100316, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+8850,33, Private,296453, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,15, United-States, <=50K
+8851,66, Private,298834, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Canada, <=50K
+8852,45, Self-emp-not-inc,188694, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8853,68, ?,29240, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K
+8854,37, Private,186934, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+8855,17, Private,154908, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+8856,31, Private,22201, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+8857,46, Private,216999, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+8858,40, Private,186916, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+8859,34, Private,116677, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+8860,56, Private,95763, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+8861,42, Private,266710, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,41, United-States, <=50K
+8862,46, Private,117849, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+8863,30, Private,242460, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8864,33, Self-emp-not-inc,202729, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8865,47, Private,181652, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+8866,57, Self-emp-not-inc,174760, Assoc-acdm,12, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+8867,34, Private,56121, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+8868,40, Private,390369, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+8869,33, Private,149726, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+8870,22, Private,51262, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+8871,29, Private,190350, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,35, ?, <=50K
+8872,53, Federal-gov,205288, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,35, United-States, >50K
+8873,36, Private,154835, HS-grad,9, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+8874,45, Private,89028, HS-grad,9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,10520,0,40, United-States, >50K
+8875,36, Private,194630, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+8876,18, Self-emp-not-inc,212207, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,11, United-States, <=50K
+8877,27, Private,204788, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8878,30, Private,158688, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+8879,34, Private,97723, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+8880,36, Private,193026, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+8881,36, Self-emp-not-inc,257250, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,75, United-States, <=50K
+8882,48, Private,355978, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+8883,41, Self-emp-not-inc,200574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K
+8884,21, Private,376929, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+8885,47, State-gov,123219, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+8886,41, Private,82778, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+8887,61, Self-emp-not-inc,115882, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+8888,64, Private,103021, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8889,35, Private,297767, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8890,44, Private,259479, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K
+8891,20, Private,167787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+8892,23, Local-gov,40021, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,70, United-States, <=50K
+8893,52, Private,245275, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+8894,43, Private,37402, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K
+8895,32, Private,103608, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+8896,63, Private,137192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+8897,29, Private,137618, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,41, United-States, >50K
+8898,42, Self-emp-inc,96509, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Taiwan, <=50K
+8899,65, Private,196174, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,28, United-States, <=50K
+8900,24, Private,172612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8901,42, Private,141186, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+8902,35, Private,228190, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+8903,40, Self-emp-inc,190290, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K
+8904,38, Federal-gov,307404, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+8905,26, Private,152436, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+8906,46, Self-emp-not-inc,182541, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K
+8907,39, Private,282153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+8908,29, ?,41281, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8909,42, Private,162003, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,36, United-States, >50K
+8910,36, Private,190759, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+8911,26, Private,208122, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+8912,57, Private,173832, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+8913,55, Private,129173, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8914,35, Private,287548, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+8915,41, Private,216116, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K
+8916,24, Private,146706, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+8917,47, Private,285200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8918,34, Self-emp-inc,314375, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+8919,44, Private,203943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,35, United-States, >50K
+8920,18, ?,274746, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+8921,27, Private,517000, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K
+8922,36, Private,66173, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+8923,21, Private,182823, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+8924,29, Private,159479, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,55, United-States, <=50K
+8925,25, Private,135568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+8926,73, Private,333676, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+8927,45, Private,201699, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+8928,28, Private,96020, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+8929,43, Private,176138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+8930,47, Private,47496, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K
+8931,20, Private,187158, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+8932,22, Private,249727, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+8933,76, Self-emp-not-inc,237624, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K
+8934,24, Private,175254, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+8935,54, Self-emp-not-inc,42924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+8936,30, Private,205950, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+8937,33, Private,111985, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K
+8938,30, Private,167476, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+8939,40, Private,221172, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+8940,27, ?,188711, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+8941,49, Private,199448, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+8942,30, Private,313038, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8943,22, Private,148431, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+8944,19, Private,112432, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,58, United-States, <=50K
+8945,46, Private,57914, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+8946,51, Private,145166, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+8947,56, Private,247119, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K
+8948,53, Private,196278, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8949,60, ?,366531, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8950,27, Private,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8951,46, Private,188027, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+8952,37, Private,66686, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+8953,41, Private,74775, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, Vietnam, <=50K
+8954,65, ?,325537, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+8955,30, Self-emp-not-inc,250499, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,55, United-States, >50K
+8956,57, Self-emp-not-inc,192869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+8957,44, Self-emp-inc,121352, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+8958,32, Self-emp-not-inc,70985, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064,0,40, United-States, <=50K
+8959,27, Self-emp-not-inc,123116, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+8960,57, Local-gov,339163, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K
+8961,59, Self-emp-not-inc,124771, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+8962,32, Private,167531, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,15024,0,50, United-States, >50K
+8963,90, ?,77053, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,4356,40, United-States, <=50K
+8964,22, Private,199266, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+8965,39, Private,190728, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+8966,43, Private,99212, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,48, United-States, >50K
+8967,38, Local-gov,421446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K
+8968,61, Private,215944, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+8969,24, Private,72310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,43, United-States, <=50K
+8970,25, Private,57512, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+8971,44, Private,89413, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8972,55, Local-gov,28151, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K
+8973,90, Private,46786, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,9386,0,15, United-States, >50K
+8974,30, Private,226943, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+8975,44, Private,182402, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+8976,36, Private,305352, 10th,6, Divorced, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K
+8977,63, Self-emp-inc,189253, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+8978,60, Private,296485, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+8979,34, Self-emp-not-inc,204375, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K
+8980,49, Self-emp-not-inc,249585, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K
+8981,47, Private,148995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+8982,42, Self-emp-inc,168071, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K
+8983,53, Private,194995, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Italy, <=50K
+8984,23, Private,211049, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,4101,0,40, United-States, <=50K
+8985,28, ?,196630, Assoc-voc,11, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K
+8986,20, Private,50397, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,35, United-States, <=50K
+8987,43, Private,177905, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3908,0,40, United-States, <=50K
+8988,32, Private,204374, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K
+8989,43, Private,60001, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,44, United-States, >50K
+8990,31, Private,223046, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+8991,29, ?,44921, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+8992,24, Private,154571, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+8993,39, Private,67136, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+8994,29, Private,188675, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, >50K
+8995,20, Private,390817, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, Mexico, <=50K
+8996,23, ?,145964, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+8997,42, Private,30424, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+8998,53, Private,548361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+8999,20, Private,189148, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K
+9000,58, Self-emp-not-inc,266707, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2179,18, United-States, <=50K
+9001,51, Self-emp-not-inc,311569, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9002,25, Private,187653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K
+9003,38, Private,235379, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K
+9004,41, Private,188615, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9005,58, Private,322691, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+9006,25, Private,184698, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K
+9007,50, Private,144361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9008,32, Private,130057, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9009,31, Self-emp-inc,117963, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+9010,22, Private,123876, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+9011,37, Private,248445, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+9012,32, Private,207172, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+9013,46, State-gov,119904, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,55, United-States, >50K
+9014,62, Private,134768, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+9015,40, Local-gov,269168, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, ?, <=50K
+9016,56, Private,132026, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,7688,0,45, United-States, >50K
+9017,37, Private,60722, Some-college,10, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, >50K
+9018,41, Private,648223, 1st-4th,2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,40, Mexico, <=50K
+9019,56, Private,298695, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+9020,20, Private,219835, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9021,34, Self-emp-not-inc,313729, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+9022,45, Private,140644, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+9023,30, Private,203488, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+9024,51, Self-emp-not-inc,132341, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9025,27, Private,161683, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K
+9026,38, Private,312771, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+9027,39, Private,258102, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+9028,57, ?,24127, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+9029,47, Private,254367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9030,77, ?,185426, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+9031,43, Private,152629, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9032,46, Local-gov,141058, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K
+9033,41, Private,233130, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9034,20, Private,406641, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+9035,30, State-gov,119422, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9036,30, Private,255486, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,25, United-States, <=50K
+9037,22, Private,161532, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+9038,25, Private,75759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K
+9039,18, Private,163332, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K
+9040,28, Private,103802, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1408,40, ?, <=50K
+9041,50, Private,34832, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K
+9042,28, Private,37933, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K
+9043,21, Private,165107, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+9044,37, Private,126011, Assoc-voc,11, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+9045,28, Federal-gov,56651, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+9046,23, Private,522881, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K
+9047,32, Private,191777, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,35, England, <=50K
+9048,27, Private,132686, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K
+9049,55, Private,201112, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9050,44, Private,174283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9051,25, Private,208591, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+9052,29, Private,126399, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K
+9053,50, Private,142073, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+9054,18, Private,395567, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+9055,74, Private,180455, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,8, United-States, <=50K
+9056,22, Private,235853, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9057,27, Private,160731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9058,27, State-gov,31935, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,80, United-States, <=50K
+9059,41, Private,35166, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+9060,24, Private,161092, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+9061,23, Private,223019, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+9062,34, Self-emp-not-inc,179673, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K
+9063,46, State-gov,248895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9064,32, Private,200323, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+9065,41, Private,230020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K
+9066,29, Private,134890, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+9067,48, Private,162096, 9th,5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,45, China, <=50K
+9068,51, Private,103824, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K
+9069,34, State-gov,61431, 12th,8, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+9070,58, Private,197319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9071,52, Private,183618, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+9072,37, Self-emp-not-inc,268598, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,7298,0,50, Puerto-Rico, >50K
+9073,53, Private,263729, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9074,54, Private,39493, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+9075,36, Private,185360, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+9076,25, Private,132661, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,60, United-States, <=50K
+9077,20, Private,266400, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,48, United-States, <=50K
+9078,23, Private,433669, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9079,39, Self-emp-inc,216473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+9080,20, Self-emp-not-inc,217404, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+9081,28, Private,227778, Assoc-voc,11, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K
+9082,73, State-gov,96262, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9083,67, Private,247566, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, <=50K
+9084,56, Private,139616, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+9085,32, Private,73585, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9086,42, Private,37869, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+9087,33, Private,165814, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+9088,37, Private,108913, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9089,33, Private,34975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+9090,31, Private,157078, 10th,6, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9091,59, Private,232672, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9092,21, Private,294295, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+9093,58, Self-emp-inc,130454, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9094,24, Local-gov,461678, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9095,26, State-gov,252284, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+9096,26, Private,256737, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+9097,33, Local-gov,96480, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K
+9098,25, Private,234263, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9099,21, Private,109952, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+9100,24, Private,262570, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9101,39, Self-emp-not-inc,65716, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+9102,68, Private,201732, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9103,66, Self-emp-not-inc,174788, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+9104,38, Private,278924, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9105,41, Private,101593, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9106,71, ?,193863, 7th-8th,4, Widowed, ?, Other-relative, White, Female,0,0,16, Poland, <=50K
+9107,37, Private,342768, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9108,54, Self-emp-not-inc,242606, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K
+9109,27, State-gov,176727, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9110,49, Private,99179, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9111,19, State-gov,354104, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+9112,25, Private,61956, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+9113,47, Federal-gov,137917, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+9114,40, Private,224658, Some-college,10, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+9115,38, Private,51100, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+9116,25, Private,224361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9117,25, Private,362912, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,50, United-States, <=50K
+9118,23, Private,218782, 10th,6, Never-married, Handlers-cleaners, Other-relative, Other, Male,0,0,40, United-States, <=50K
+9119,28, Private,103389, Masters,14, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+9120,29, Private,308944, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9121,32, Private,140092, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9122,34, Private,202210, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9123,52, Private,416059, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+9124,33, Self-emp-not-inc,281030, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,94, United-States, <=50K
+9125,19, Private,169758, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+9126,68, Private,193666, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,55, United-States, >50K
+9127,41, Private,139907, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K
+9128,18, Self-emp-inc,119422, HS-grad,9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,30, India, <=50K
+9129,29, Private,149324, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K
+9130,40, Private,259307, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9131,51, Self-emp-not-inc,74160, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K
+9132,49, Private,134797, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9133,20, State-gov,41103, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+9134,38, Local-gov,193026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+9135,57, Private,303986, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Cuba, <=50K
+9136,35, Private,126569, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+9137,66, Private,166461, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, <=50K
+9138,27, ?,61387, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+9139,25, Private,254746, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9140,77, ?,28678, Masters,14, Married-civ-spouse, ?, Husband, White, Male,9386,0,6, United-States, >50K
+9141,19, ?,180976, 10th,6, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K
+9142,70, Private,282642, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2174,40, United-States, >50K
+9143,59, Self-emp-not-inc,136413, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K
+9144,25, Private,131463, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9145,44, Local-gov,177240, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K
+9146,37, Private,218490, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, El-Salvador, >50K
+9147,75, ?,260543, 10th,6, Widowed, ?, Other-relative, Asian-Pac-Islander, Female,0,0,1, China, <=50K
+9148,21, ?,80680, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9149,21, Private,20728, HS-grad,9, Never-married, Sales, Own-child, White, Female,4101,0,40, United-States, <=50K
+9150,47, Federal-gov,117628, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9151,20, Private,91939, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,1721,30, United-States, <=50K
+9152,32, State-gov,175931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+9153,28, Private,309566, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+9154,53, Private,123703, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9155,19, ?,369678, HS-grad,9, Never-married, ?, Not-in-family, Other, Male,0,0,30, United-States, <=50K
+9156,58, Private,29928, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K
+9157,22, Private,167868, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+9158,23, Private,235894, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+9159,21, Private,189888, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,3325,0,60, United-States, <=50K
+9160,36, Private,111545, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+9161,39, Private,175972, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K
+9162,34, Local-gov,254270, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9163,41, Local-gov,185057, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9164,72, Private,157593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,1455,0,6, United-States, <=50K
+9165,34, Private,101345, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+9166,51, Local-gov,176751, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+9167,32, Self-emp-not-inc,97723, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9168,38, Private,127601, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+9169,37, Private,227597, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9170,21, ?,143995, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K
+9171,21, Private,250051, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K
+9172,26, Private,284078, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9173,34, Private,207668, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K
+9174,18, Private,163787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+9175,27, Private,119170, 11th,7, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+9176,20, Private,188612, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, Nicaragua, <=50K
+9177,36, Private,114605, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+9178,31, ?,317761, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9179,32, Private,164197, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+9180,54, Private,329266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+9181,34, Local-gov,207383, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9182,46, Private,123598, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+9183,33, Private,259931, 11th,7, Separated, Machine-op-inspct, Other-relative, White, Male,0,0,30, United-States, <=50K
+9184,32, Private,134737, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+9185,42, Private,106900, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9186,30, Private,87054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+9187,37, Private,82622, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+9188,28, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9189,25, Private,321205, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,4101,0,35, United-States, <=50K
+9190,44, Self-emp-not-inc,231348, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+9191,40, Private,276096, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9192,36, Private,290560, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+9193,21, Private,307315, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+9194,39, State-gov,99156, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+9195,24, Private,237928, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,39, United-States, <=50K
+9196,46, Private,153501, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+9197,47, ?,149700, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,36, United-States, >50K
+9198,47, Private,189680, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K
+9199,35, Private,374524, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K
+9200,60, Self-emp-not-inc,127805, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+9201,35, Private,150217, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, Poland, <=50K
+9202,33, Private,295649, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, China, <=50K
+9203,21, Private,197182, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9204,37, Private,241998, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+9205,48, Federal-gov,156410, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, >50K
+9206,58, Private,473836, 7th-8th,4, Widowed, Farming-fishing, Other-relative, White, Female,0,0,45, Guatemala, <=50K
+9207,21, Private,198431, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9208,22, Private,113936, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+9209,22, Private,318915, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+9210,28, Self-emp-not-inc,175406, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K
+9211,33, ?,193172, Assoc-voc,11, Married-civ-spouse, ?, Own-child, White, Female,7688,0,50, United-States, >50K
+9212,23, Federal-gov,320294, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9213,58, State-gov,400285, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+9214,24, ?,283731, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+9215,38, Local-gov,227154, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+9216,49, Private,298659, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, Mexico, <=50K
+9217,47, Private,212120, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9218,50, Private,320510, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+9219,21, Private,175800, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K
+9220,55, Private,170169, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9221,47, Private,344157, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9222,19, Private,199441, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9223,47, Private,225456, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,50, United-States, <=50K
+9224,36, Private,61178, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9225,28, Local-gov,175262, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,2002,40, England, <=50K
+9226,42, Private,152568, HS-grad,9, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+9227,41, Private,182108, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,27828,0,35, United-States, >50K
+9228,46, Private,273771, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K
+9229,32, Private,208291, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+9230,34, Private,224358, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9231,33, Private,55176, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9232,60, State-gov,152711, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9233,53, Private,68684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+9234,24, Private,185452, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K
+9235,39, Federal-gov,175232, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1977,60, United-States, >50K
+9236,23, Private,173851, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9237,50, Private,162327, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, ?, >50K
+9238,36, Local-gov,51424, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9239,19, Private,123416, 12th,8, Separated, Prof-specialty, Own-child, White, Female,1055,0,40, United-States, <=50K
+9240,26, Private,262656, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+9241,38, Private,233194, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+9242,41, Private,290660, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,55, United-States, >50K
+9243,22, Private,151105, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,18, United-States, <=50K
+9244,38, Private,179117, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, Black, Female,10520,0,50, United-States, >50K
+9245,72, ?,33608, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,9386,0,30, United-States, >50K
+9246,39, Private,317434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9247,35, State-gov,126569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+9248,38, Local-gov,745768, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K
+9249,19, Private,69927, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,16, United-States, <=50K
+9250,26, Private,302603, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K
+9251,52, Private,46788, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,25, United-States, <=50K
+9252,41, Private,289886, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Other, Male,0,1579,40, Nicaragua, <=50K
+9253,45, Private,179135, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9254,58, Federal-gov,175873, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+9255,34, Private,57426, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9256,36, Private,312206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9257,19, Without-pay,344858, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+9258,26, State-gov,177035, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+9259,60, Private,88055, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+9260,35, Self-emp-not-inc,111095, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+9261,39, Private,192251, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K
+9262,27, Private,29807, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, Japan, <=50K
+9263,26, Federal-gov,211596, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9264,17, Private,268276, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+9265,59, Self-emp-not-inc,181070, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, England, >50K
+9266,53, Local-gov,20676, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K
+9267,35, Private,115803, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9268,34, Local-gov,124827, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9269,36, Private,95336, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+9270,36, Private,257942, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+9271,21, Private,72593, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+9272,29, Private,147340, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+9273,35, Private,185325, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+9274,59, Self-emp-not-inc,357943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9275,22, Private,215395, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,1602,10, United-States, <=50K
+9276,50, Local-gov,30682, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+9277,24, Federal-gov,29591, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+9278,36, Private,215392, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9279,31, Private,110554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,4386,0,40, United-States, >50K
+9280,42, Self-emp-not-inc,133584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K
+9281,38, Private,210438, 7th-8th,4, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+9282,52, Private,256916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+9283,46, Private,73541, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9284,23, Private,109952, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+9285,54, Private,197975, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K
+9286,27, Private,401723, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+9287,42, Private,179524, Bachelors,13, Separated, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+9288,33, State-gov,296282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9289,19, Private,145844, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+9290,59, Private,191965, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,3908,0,28, United-States, <=50K
+9291,54, Private,96792, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+9292,48, Private,185041, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1672,55, United-States, <=50K
+9293,19, ?,233779, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+9294,45, Private,347834, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9295,36, Private,215373, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K
+9296,35, Self-emp-not-inc,169426, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9297,47, Private,202856, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K
+9298,33, Private,50276, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9299,48, Self-emp-not-inc,187454, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9300,42, Private,126098, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9301,19, Private,250639, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+9302,64, Self-emp-inc,195366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9303,51, Self-emp-not-inc,186845, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,8, United-States, <=50K
+9304,20, Federal-gov,119156, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K
+9305,28, Private,162343, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+9306,52, Private,108435, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, Greece, >50K
+9307,29, Self-emp-not-inc,394927, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9308,51, Private,172281, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9309,36, Private,370767, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,60, United-States, <=50K
+9310,43, Private,352005, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K
+9311,52, Private,165681, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+9312,50, Private,258819, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+9313,25, Private,130793, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9314,36, Private,118909, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K
+9315,44, Private,202466, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K
+9316,47, Private,161558, 10th,6, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+9317,32, Private,188246, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+9318,37, Private,160120, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+9319,40, Private,144594, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K
+9320,34, Self-emp-not-inc,123429, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+9321,35, Self-emp-inc,340110, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+9322,26, Private,523067, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,3, El-Salvador, <=50K
+9323,49, Self-emp-not-inc,113513, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+9324,63, ?,186809, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+9325,46, Self-emp-not-inc,320421, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K
+9326,31, Local-gov,295589, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+9327,22, Private,370548, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9328,20, Private,120572, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K
+9329,52, Private,110977, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+9330,26, Private,55860, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+9331,34, Private,158800, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9332,31, Private,131568, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9333,46, Private,173613, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+9334,22, Private,216867, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+9335,38, Private,104089, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+9336,35, Private,208106, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Ecuador, <=50K
+9337,27, State-gov,340269, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9338,27, Private,236246, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+9339,46, Private,213408, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Cuba, <=50K
+9340,40, ?,84232, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K
+9341,19, Private,302945, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, Thailand, <=50K
+9342,69, ?,28197, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K
+9343,20, Private,262749, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+9344,34, Federal-gov,198265, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K
+9345,49, Private,170871, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9346,27, Private,177761, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,50, United-States, <=50K
+9347,59, Private,175689, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,14, Cuba, >50K
+9348,45, Private,205100, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+9349,21, Private,77759, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+9350,51, State-gov,77905, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+9351,64, ?,193575, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+9352,41, State-gov,116520, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+9353,18, ?,85154, 12th,8, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,24, Germany, <=50K
+9354,49, Private,180532, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9355,51, Private,508891, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+9356,20, Private,211345, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K
+9357,69, Self-emp-not-inc,170877, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+9358,18, ?,97318, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+9359,43, Private,184105, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+9360,50, Private,150941, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,44, United-States, <=50K
+9361,32, Private,303942, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9362,27, Local-gov,273929, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+9363,38, Private,197077, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+9364,62, Private,162825, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+9365,46, Private,159869, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K
+9366,19, Private,158343, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, ?, <=50K
+9367,17, ?,406920, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+9368,21, Private,227986, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+9369,36, Private,137527, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+9370,36, Private,180150, 12th,8, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9371,23, Private,239539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+9372,58, Private,281792, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+9373,40, Private,224799, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+9374,64, Private,292639, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,10566,0,35, United-States, <=50K
+9375,66, Private,22313, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+9376,42, Private,194636, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+9377,55, Private,156089, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9378,53, Private,193720, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+9379,25, Private,218667, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+9380,39, Private,358837, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9381,20, Private,174685, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+9382,32, Private,168854, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,54, United-States, <=50K
+9383,28, Private,133696, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,65, United-States, <=50K
+9384,23, Federal-gov,350680, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Poland, <=50K
+9385,18, Private,115215, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+9386,43, Self-emp-not-inc,152958, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+9387,29, Private,217200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9388,32, Private,235124, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,46, Dominican-Republic, <=50K
+9389,31, Local-gov,144949, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+9390,60, Private,135470, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+9391,42, Private,281209, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+9392,46, Private,155489, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9393,38, Private,290306, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9394,18, Private,182042, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K
+9395,31, Private,210008, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+9396,54, Private,234938, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,55, United-States, <=50K
+9397,46, Private,315423, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2042,50, United-States, <=50K
+9398,27, Self-emp-not-inc,30244, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,80, United-States, <=50K
+9399,50, Local-gov,30008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+9400,38, Self-emp-not-inc,201328, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K
+9401,36, State-gov,96468, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+9402,25, Private,486332, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+9403,19, Private,46162, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K
+9404,60, Local-gov,98350, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, <=50K
+9405,45, Local-gov,175958, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+9406,21, Private,119309, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,1602,16, United-States, <=50K
+9407,42, Private,175935, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1980,46, United-States, <=50K
+9408,38, Private,204527, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+9409,22, ?,57827, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+9410,19, Private,418176, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,32, United-States, <=50K
+9411,23, Private,262744, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+9412,24, Private,177287, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K
+9413,30, Private,255004, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K
+9414,62, Private,183735, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+9415,26, Self-emp-not-inc,318644, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+9416,42, Federal-gov,132125, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K
+9417,33, Private,206051, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9418,54, Self-emp-inc,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K
+9419,35, Private,225750, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+9420,33, Private,245777, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9421,45, Private,169092, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K
+9422,62, Private,211035, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K
+9423,24, Private,285432, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+9424,50, Local-gov,154779, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+9425,54, Private,37237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+9426,58, Private,417419, 7th-8th,4, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+9427,39, Self-emp-inc,33975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+9428,32, Private,42485, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+9429,27, Private,170017, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9430,27, Private,152683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,35, United-States, <=50K
+9431,20, Private,41721, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K
+9432,64, Private,66634, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9433,55, Self-emp-inc,257216, Masters,14, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9434,46, Private,167882, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K
+9435,45, Private,179428, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+9436,26, Private,57512, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9437,36, Private,301614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9438,25, Private,193820, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1876,40, United-States, <=50K
+9439,58, Private,222247, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K
+9440,39, Self-emp-inc,189092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+9441,47, Private,217509, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,45, Thailand, <=50K
+9442,35, Private,308691, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+9443,38, Private,169672, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+9444,50, Private,120914, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9445,36, Private,370156, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+9446,28, Private,398220, 5th-6th,3, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+9447,44, Self-emp-not-inc,208277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,45, United-States, <=50K
+9448,40, Private,337456, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+9449,55, Private,172666, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9450,29, Self-emp-not-inc,32280, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9451,33, Private,194901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+9452,19, ?,57329, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, Japan, <=50K
+9453,32, Private,173730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+9454,45, Local-gov,153312, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,10, United-States, >50K
+9455,23, Private,274797, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+9456,31, Private,359249, Assoc-voc,11, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K
+9457,22, Private,152744, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+9458,59, Private,188041, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+9459,32, Private,97723, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+9460,49, State-gov,354529, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9461,22, Private,249727, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+9462,26, Private,189590, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9463,23, State-gov,298871, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+9464,55, Self-emp-not-inc,205296, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+9465,47, Private,303637, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,49, United-States, >50K
+9466,44, Private,242861, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+9467,27, Private,37599, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K
+9468,40, State-gov,199381, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,37, United-States, >50K
+9469,32, Self-emp-not-inc,56328, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, >50K
+9470,20, Private,256211, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+9471,84, Local-gov,163685, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,33, United-States, <=50K
+9472,40, Private,266084, Some-college,10, Divorced, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K
+9473,37, Private,161111, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9474,44, Private,199031, Some-college,10, Divorced, Transport-moving, Own-child, White, Male,0,1380,40, United-States, <=50K
+9475,47, Private,166634, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Germany, <=50K
+9476,62, Self-emp-not-inc,204085, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+9477,19, ?,369527, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+9478,47, Private,464945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9479,44, Local-gov,174684, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+9480,26, Local-gov,166295, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,41, United-States, <=50K
+9481,36, Private,220511, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9482,52, Private,246936, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+9483,33, Private,104509, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9484,48, ?,266337, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+9485,33, Private,252168, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+9486,25, Private,92093, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+9487,62, Private,88055, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9488,38, Private,129591, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9489,46, Private,142719, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K
+9490,18, ?,264924, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+9491,46, Private,128796, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+9492,38, Private,115336, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,70, United-States, <=50K
+9493,52, Private,190333, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+9494,63, Self-emp-not-inc,179444, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, United-States, <=50K
+9495,49, Private,218676, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K
+9496,17, Local-gov,148194, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+9497,33, Private,184833, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+9498,70, Self-emp-not-inc,280639, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,2329,0,20, United-States, <=50K
+9499,19, Private,217769, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+9500,27, ?,180553, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K
+9501,61, Private,56009, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+9502,33, Private,255334, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K
+9503,46, Self-emp-inc,328216, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,42, ?, >50K
+9504,29, Private,349154, 10th,6, Separated, Farming-fishing, Unmarried, White, Female,0,0,40, Guatemala, <=50K
+9505,40, Local-gov,24763, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,6849,0,40, United-States, <=50K
+9506,43, State-gov,41834, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K
+9507,24, Private,113466, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9508,29, Private,130856, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+9509,61, Self-emp-not-inc,268797, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,17, United-States, <=50K
+9510,48, Private,202117, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K
+9511,19, Private,280146, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+9512,30, Private,70377, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9513,24, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9514,39, Local-gov,222572, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K
+9515,46, Self-emp-inc,110702, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,2036,0,60, United-States, <=50K
+9516,40, Private,96129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K
+9517,27, Local-gov,200492, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+9518,25, Private,193820, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+9519,31, Private,454508, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,2001,40, United-States, <=50K
+9520,58, Private,220789, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9521,33, Private,101345, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, Canada, >50K
+9522,40, Private,140559, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+9523,40, Self-emp-inc,64885, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+9524,31, Private,402361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9525,33, Private,143582, HS-grad,9, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,48, China, <=50K
+9526,49, Private,185385, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+9527,24, Private,112706, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+9528,46, Private,130364, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+9529,58, Local-gov,147428, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+9530,20, Private,205895, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+9531,65, ?,273569, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+9532,43, Private,153160, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+9533,48, Self-emp-not-inc,167918, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, India, <=50K
+9534,41, Private,195661, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,54, United-States, <=50K
+9535,27, State-gov,146243, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+9536,52, ?,105428, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K
+9537,26, Private,149943, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,60, ?, <=50K
+9538,52, Local-gov,246197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9539,52, Local-gov,192563, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+9540,19, Private,244115, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K
+9541,39, Local-gov,98587, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K
+9542,47, Private,145886, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+9543,27, Private,244315, HS-grad,9, Divorced, Craft-repair, Other-relative, Other, Male,0,0,40, United-States, <=50K
+9544,48, Private,192779, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9545,50, Private,209464, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+9546,60, Private,25141, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+9547,28, Private,405793, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+9548,47, Federal-gov,53498, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9549,69, ?,476653, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+9550,40, Self-emp-not-inc,162312, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,66, South, <=50K
+9551,37, Private,277022, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,3887,0,40, Nicaragua, <=50K
+9552,41, State-gov,109762, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9553,38, Private,123031, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,48, Trinadad&Tobago, <=50K
+9554,46, Federal-gov,119890, Assoc-voc,11, Separated, Tech-support, Not-in-family, Other, Female,0,0,30, United-States, <=50K
+9555,21, Self-emp-not-inc,409230, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+9556,44, Private,223308, Masters,14, Separated, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+9557,38, ?,129150, 10th,6, Separated, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+9558,47, Self-emp-not-inc,119199, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+9559,42, Private,46221, Doctorate,16, Married-spouse-absent, Other-service, Not-in-family, White, Male,27828,0,60, ?, >50K
+9560,42, Local-gov,351161, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9561,56, Private,174533, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+9562,32, Private,324386, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+9563,24, Private,126568, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,33, United-States, <=50K
+9564,26, Private,275703, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+9565,36, Self-emp-not-inc,219611, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,2174,0,50, United-States, <=50K
+9566,49, Private,200471, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K
+9567,65, Private,155261, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9568,73, State-gov,74040, 7th-8th,4, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+9569,34, Private,226296, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+9570,22, Private,211968, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+9571,49, Local-gov,126446, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+9572,25, Private,262885, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+9573,39, Private,188069, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K
+9574,19, Private,113546, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K
+9575,24, Private,227070, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+9576,34, Private,136997, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+9577,35, ?,119006, HS-grad,9, Widowed, ?, Own-child, White, Female,0,0,38, United-States, <=50K
+9578,21, Private,212407, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+9579,43, Private,197810, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+9580,35, Federal-gov,35309, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,28, ?, <=50K
+9581,39, Private,141802, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9582,48, ?,184513, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, >50K
+9583,33, Self-emp-not-inc,124187, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Male,0,0,32, United-States, <=50K
+9584,19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,26, United-States, <=50K
+9585,17, Private,156736, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,12, United-States, <=50K
+9586,43, Self-emp-not-inc,47261, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+9587,62, Private,150693, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K
+9588,53, Local-gov,233734, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K
+9589,45, State-gov,35969, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+9590,47, Private,159550, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+9591,30, Private,190823, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+9592,53, Private,213378, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K
+9593,24, Private,257500, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+9594,41, Local-gov,488706, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+9595,58, Local-gov,239405, 5th-6th,3, Divorced, Other-service, Other-relative, Black, Female,0,0,40, Haiti, <=50K
+9596,27, Federal-gov,105189, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,4865,0,50, United-States, <=50K
+9597,63, State-gov,109735, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+9598,50, Private,172942, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,28, United-States, <=50K
+9599,43, Local-gov,209899, Masters,14, Never-married, Tech-support, Not-in-family, Black, Female,8614,0,47, United-States, >50K
+9600,29, Self-emp-inc,87745, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+9601,41, Private,187881, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3942,0,40, United-States, <=50K
+9602,55, Private,234125, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+9603,36, Private,272944, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9604,23, Local-gov,129232, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+9605,22, Private,100345, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,13550,0,55, United-States, >50K
+9606,58, Self-emp-not-inc,195835, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9607,25, Private,251854, 11th,7, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+9608,40, Private,103474, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K
+9609,38, Private,22042, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K
+9610,37, Private,343721, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+9611,19, Private,232368, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+9612,55, Private,174478, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,29, United-States, <=50K
+9613,55, Private,282023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+9614,28, Private,274690, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9615,53, Private,251675, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K
+9616,32, ?,647882, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, <=50K
+9617,60, Private,128367, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,3325,0,42, United-States, <=50K
+9618,32, Private,37380, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+9619,34, Private,173730, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+9620,49, Private,353824, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+9621,21, Private,225890, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K
+9622,24, State-gov,147147, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+9623,53, Private,233780, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,2202,0,40, United-States, <=50K
+9624,29, Private,394927, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+9625,34, Local-gov,188682, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9626,52, ?,115209, Prof-school,15, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+9627,41, Private,277192, 5th-6th,3, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, Mexico, <=50K
+9628,21, Private,314182, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9629,43, Private,220776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+9630,31, Local-gov,189269, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+9631,38, Private,35429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2042,40, United-States, <=50K
+9632,42, Private,154374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K
+9633,62, Private,161460, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9634,51, Private,251487, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+9635,30, Private,177531, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K
+9636,24, Private,53942, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9637,36, Private,113481, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9638,57, Private,361324, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9639,46, Private,330087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+9640,33, Private,276221, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9641,42, Private,121055, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9642,62, Private,118696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9643,64, Self-emp-not-inc,289741, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+9644,18, Private,238401, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+9645,43, Private,262038, 5th-6th,3, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,35, Mexico, <=50K
+9646,62, Self-emp-not-inc,26911, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,66, United-States, <=50K
+9647,29, Private,161155, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+9648,43, Private,252519, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Haiti, >50K
+9649,39, Private,43712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+9650,69, ?,167826, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+9651,34, Private,188900, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+9652,44, Private,120057, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K
+9653,25, Private,134113, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+9654,47, Local-gov,165822, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+9655,17, Private,99161, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K
+9656,41, Local-gov,74581, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,65, United-States, <=50K
+9657,19, Private,304643, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+9658,57, Private,121821, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K
+9659,25, Private,154863, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K
+9660,37, Local-gov,365430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Canada, >50K
+9661,29, Private,183111, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9662,32, Private,50178, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+9663,35, Private,186845, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+9664,52, Private,159908, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9665,41, Private,162189, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,1831,0,40, Peru, <=50K
+9666,29, Private,128509, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,38, El-Salvador, <=50K
+9667,23, Private,143032, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K
+9668,31, Private,382368, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9669,40, Private,210013, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+9670,19, Private,293928, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+9671,21, Private,208503, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,10, United-States, <=50K
+9672,37, State-gov,191841, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,8614,0,40, United-States, >50K
+9673,49, Self-emp-not-inc,355978, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K
+9674,64, Local-gov,202738, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+9675,37, Local-gov,144322, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+9676,70, Self-emp-not-inc,155141, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,12, United-States, >50K
+9677,22, Private,160120, 10th,6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K
+9678,29, Self-emp-inc,190450, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Germany, <=50K
+9679,37, Private,212900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9680,29, Private,115677, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9681,38, Private,252250, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K
+9682,27, Private,212041, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+9683,58, State-gov,198145, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K
+9684,60, Local-gov,113658, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+9685,20, Private,32426, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+9686,51, Private,98791, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+9687,37, Private,203828, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+9688,22, State-gov,186634, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+9689,56, Self-emp-not-inc,125147, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+9690,26, Private,247455, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,5178,0,42, United-States, >50K
+9691,19, Private,97215, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+9692,37, Private,330826, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K
+9693,27, Private,200802, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9694,27, Private,156266, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K
+9695,52, Self-emp-not-inc,72257, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+9696,45, Private,363087, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+9697,28, Private,25955, Some-college,10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+9698,20, Private,334633, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9699,28, Private,109162, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+9700,44, Private,569761, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+9701,30, Private,209900, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9702,26, State-gov,272986, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,8, United-States, <=50K
+9703,55, ?,52267, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K
+9704,46, Private,82946, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9705,51, Private,104651, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+9706,25, Local-gov,58441, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9707,43, Local-gov,269733, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9708,19, ?,128453, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,28, United-States, <=50K
+9709,36, Private,179468, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9710,36, Private,183081, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9711,48, Private,102938, Bachelors,13, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+9712,30, ?,157289, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+9713,24, Private,359828, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+9714,30, Private,155659, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+9715,24, Private,585203, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,45, United-States, >50K
+9716,62, Private,173601, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9717,41, Self-emp-not-inc,214541, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+9718,49, Self-emp-not-inc,163352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,85, United-States, >50K
+9719,36, Self-emp-not-inc,153976, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+9720,47, Local-gov,247676, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,45, United-States, <=50K
+9721,49, State-gov,155372, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9722,52, Private,329733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9723,52, Private,162576, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+9724,26, Private,176520, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,53, United-States, <=50K
+9725,51, State-gov,226885, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9726,18, Private,120781, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+9727,30, Private,375827, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+9728,46, Private,205504, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,20, United-States, <=50K
+9729,28, Private,198813, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K
+9730,48, Self-emp-inc,254291, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+9731,62, Private,159908, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K
+9732,49, Private,40000, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,44, United-States, <=50K
+9733,69, Private,102874, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K
+9734,35, Private,117381, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,45, United-States, >50K
+9735,78, Private,180239, Masters,14, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+9736,61, Private,539563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9737,24, Private,261561, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9738,29, Private,81057, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+9739,36, Self-emp-not-inc,160120, Bachelors,13, Married-civ-spouse, Sales, Husband, Other, Male,0,0,45, ?, <=50K
+9740,17, Private,41979, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+9741,27, Private,275110, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,80, United-States, >50K
+9742,64, Private,265661, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+9743,33, Self-emp-not-inc,193246, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, France, <=50K
+9744,32, Private,236543, 12th,8, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+9745,19, Private,29510, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+9746,42, State-gov,105804, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+9747,24, Private,194604, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+9748,23, Private,1038553, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+9749,51, Local-gov,209320, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+9750,31, Private,193231, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,3325,0,60, United-States, <=50K
+9751,44, Private,307468, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,29, United-States, >50K
+9752,38, Private,255941, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K
+9753,44, Local-gov,107845, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Female,0,0,56, United-States, >50K
+9754,44, Self-emp-not-inc,567788, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+9755,38, Private,91857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+9756,36, Private,732569, 9th,5, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9757,29, Private,86613, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,20, El-Salvador, <=50K
+9758,46, Private,35961, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,25, Germany, <=50K
+9759,47, Private,114754, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9760,30, Private,235124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,99999,0,40, United-States, >50K
+9761,37, Local-gov,218490, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,35, United-States, >50K
+9762,27, Private,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9763,43, Private,181015, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,50, United-States, <=50K
+9764,44, Self-emp-not-inc,264740, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+9765,31, Private,381153, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K
+9766,34, Private,189759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+9767,39, Private,230467, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,1092,40, Germany, <=50K
+9768,36, Private,218542, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+9769,57, Private,298507, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K
+9770,78, Private,111189, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, Dominican-Republic, <=50K
+9771,24, Private,168997, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9772,39, Private,168894, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9773,21, Private,149809, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+9774,34, Private,344073, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+9775,22, Private,416165, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K
+9776,36, Private,41490, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9777,61, Private,40269, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+9778,67, ?,243256, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+9779,42, Private,250536, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,21, Haiti, <=50K
+9780,49, Federal-gov,105586, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+9781,58, Private,51499, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9782,37, Local-gov,189878, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K
+9783,39, Private,179481, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,4650,0,44, United-States, <=50K
+9784,25, Private,299765, Some-college,10, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K
+9785,45, Self-emp-inc,155664, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K
+9786,30, Private,54608, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9787,49, ?,174702, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K
+9788,36, Self-emp-not-inc,285020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K
+9789,23, Private,201145, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K
+9790,51, Private,125796, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, Jamaica, <=50K
+9791,55, Private,249072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+9792,35, Private,99156, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+9793,45, State-gov,94754, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, India, <=50K
+9794,36, Private,111128, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+9795,32, Local-gov,157887, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9796,39, Private,74194, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+9797,47, Self-emp-inc,168191, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9798,49, Private,28334, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9799,52, Private,84278, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, ?, >50K
+9800,44, Private,721161, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+9801,36, Private,188069, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9802,40, Private,145178, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Female,0,0,30, United-States, <=50K
+9803,17, Private,52967, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K
+9804,18, Private,177578, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K
+9805,30, Self-emp-inc,185384, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K
+9806,66, Private,66008, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,50, England, <=50K
+9807,59, Private,329059, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+9808,30, Local-gov,348802, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+9809,50, Private,34233, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+9810,24, Private,509629, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+9811,28, Private,27956, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,99, Philippines, <=50K
+9812,44, Local-gov,83286, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+9813,25, Private,309098, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9814,45, Private,188950, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9815,20, Private,224217, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9816,67, Private,222899, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+9817,40, Self-emp-not-inc,123306, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+9818,52, Federal-gov,279337, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9819,34, Private,347166, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+9820,37, Local-gov,251396, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Canada, >50K
+9821,17, Self-emp-inc,143034, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,4, United-States, <=50K
+9822,25, Private,57635, Assoc-voc,11, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K
+9823,35, Local-gov,162651, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+9824,63, Private,28334, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+9825,38, Local-gov,84570, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+9826,33, Private,181091, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, Iran, >50K
+9827,51, Local-gov,117496, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+9828,64, State-gov,216160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Columbia, >50K
+9829,50, Self-emp-inc,204447, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9830,18, Private,374969, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,56, United-States, <=50K
+9831,67, Private,35015, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K
+9832,46, Private,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9833,60, Self-emp-not-inc,137733, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+9834,29, Private,193125, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9835,30, Private,103649, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+9836,56, State-gov,54260, Doctorate,16, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2885,0,40, China, <=50K
+9837,29, Private,197932, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Mexico, >50K
+9838,37, Private,249720, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,27, United-States, <=50K
+9839,55, Private,223613, 1st-4th,2, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,30, Cuba, <=50K
+9840,24, Private,259865, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+9841,21, Private,301694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+9842,46, Self-emp-inc,276934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+9843,25, Private,395512, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Mexico, <=50K
+9844,40, Private,168071, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K
+9845,23, Private,45317, Some-college,10, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+9846,43, Self-emp-not-inc,311177, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+9847,29, Self-emp-not-inc,190636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,1485,60, United-States, >50K
+9848,59, Private,221336, 10th,6, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+9849,18, Private,120691, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, ?, <=50K
+9850,28, Private,107389, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,32, United-States, <=50K
+9851,17, Private,293440, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+9852,53, Private,145409, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+9853,22, Private,213902, 5th-6th,3, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, El-Salvador, <=50K
+9854,63, Private,100099, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9855,32, Private,191856, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K
+9856,40, Local-gov,233891, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+9857,61, Self-emp-not-inc,96073, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, England, >50K
+9858,35, Private,474136, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+9859,43, Self-emp-not-inc,355856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K
+9860,20, ?,144685, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,1602,40, Taiwan, <=50K
+9861,48, Self-emp-not-inc,139212, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9862,56, State-gov,143931, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9863,51, Federal-gov,160703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9864,34, Private,191291, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9865,44, Private,68729, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1902,40, United-States, >50K
+9866,61, Private,119986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+9867,37, Private,227545, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K
+9868,36, Private,32776, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+9869,34, Private,228881, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+9870,23, Private,84648, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+9871,63, Federal-gov,101996, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+9872,63, ?,68954, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,11, United-States, <=50K
+9873,47, Local-gov,285060, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,41, United-States, >50K
+9874,55, Self-emp-inc,209569, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, >50K
+9875,31, Local-gov,331126, Bachelors,13, Never-married, Protective-serv, Own-child, Black, Male,0,0,48, United-States, <=50K
+9876,27, Private,279872, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9877,58, Private,150560, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,14084,0,40, United-States, >50K
+9878,28, Local-gov,185647, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K
+9879,52, Private,128871, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,64, United-States, <=50K
+9880,31, Federal-gov,386331, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, <=50K
+9881,53, Private,117814, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+9882,43, Private,220609, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K
+9883,43, Local-gov,117022, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male,0,0,40, United-States, <=50K
+9884,50, Self-emp-inc,176751, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,80, United-States, >50K
+9885,68, ?,76371, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+9886,37, Private,80410, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+9887,26, Private,127202, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9888,22, Private,121471, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9889,22, Private,219086, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+9890,59, Private,271571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K
+9891,30, Private,241583, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9892,24, Private,374253, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K
+9893,30, Private,214993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9894,50, Local-gov,199995, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+9895,38, Private,450924, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,3942,0,40, United-States, <=50K
+9896,29, Private,120359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9897,76, Private,93125, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,1424,0,24, United-States, <=50K
+9898,21, Private,187513, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+9899,65, Private,243569, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K
+9900,43, Private,295510, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+9901,29, Private,29732, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K
+9902,32, Private,211743, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9903,37, Private,251396, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+9904,64, Private,477697, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K
+9905,49, Private,151584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+9906,44, Private,193882, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+9907,68, ?,117542, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,1409,0,15, United-States, <=50K
+9908,34, Private,242460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+9909,35, Private,411395, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K
+9910,53, Private,191025, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+9911,24, Private,154571, Assoc-voc,11, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,50, South, <=50K
+9912,31, Private,208657, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+9913,25, Private,29599, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K
+9914,36, Private,423711, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+9915,29, Private,122000, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+9916,37, Private,148581, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+9917,42, Self-emp-not-inc,222978, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+9918,30, Private,149118, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9919,32, Self-emp-inc,218407, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, Cuba, <=50K
+9920,47, Self-emp-not-inc,112200, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,10520,0,45, United-States, >50K
+9921,44, Private,85604, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+9922,19, Private,111232, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+9923,22, Private,99199, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+9924,51, Private,199995, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+9925,69, Private,122850, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K
+9926,73, ?,90557, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+9927,18, ?,271935, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,20, United-States, <=50K
+9928,33, Self-emp-not-inc,361497, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9929,22, Local-gov,399020, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K
+9930,33, Private,345277, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, >50K
+9931,20, Federal-gov,55233, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+9932,28, Self-emp-not-inc,200515, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+9933,25, Private,188119, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9934,27, Private,176683, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+9935,22, Private,309178, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+9936,67, Self-emp-not-inc,40021, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+9937,31, Self-emp-inc,49923, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+9938,36, ?,36635, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,25, United-States, <=50K
+9939,43, Federal-gov,325706, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K
+9940,33, Private,124407, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9941,37, Self-emp-not-inc,301568, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K
+9942,27, Private,339956, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K
+9943,36, Private,176335, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9944,33, Private,198452, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+9945,63, Private,213945, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, Iran, >50K
+9946,48, Private,171807, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, >50K
+9947,25, Private,362826, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K
+9948,41, Self-emp-not-inc,344329, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K
+9949,26, Private,137678, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9950,23, Private,175424, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+9951,33, State-gov,73296, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,1831,0,40, United-States, <=50K
+9952,30, State-gov,137613, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,17, Taiwan, <=50K
+9953,67, Self-emp-not-inc,354405, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+9954,32, Private,130057, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+9955,48, Self-emp-not-inc,362883, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K
+9956,51, Private,49017, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+9957,39, Private,149943, Masters,14, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+9958,40, Self-emp-inc,99185, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+9959,40, Private,294708, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+9960,19, Private,228238, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K
+9961,28, Private,156819, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,36, United-States, <=50K
+9962,47, Private,332727, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+9963,20, Private,289944, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+9964,41, Private,116103, HS-grad,9, Widowed, Exec-managerial, Other-relative, White, Male,914,0,40, United-States, <=50K
+9965,29, Private,24153, Some-college,10, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+9966,40, Private,273425, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+9967,61, Private,231183, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9968,25, Private,313930, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+9969,26, Private,114483, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+9970,43, Private,162108, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9971,17, Private,168807, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+9972,43, Local-gov,143828, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,9562,0,40, United-States, >50K
+9973,73, Private,242769, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, England, <=50K
+9974,46, Local-gov,111558, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+9975,19, Private,69770, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+9976,37, Private,291981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9977,26, Private,102460, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+9978,47, Private,151584, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,1876,40, United-States, <=50K
+9979,47, Local-gov,287320, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9980,29, Private,115677, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9981,29, Private,239632, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+9982,33, Private,409172, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K
+9983,20, Private,186849, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+9984,28, Private,118861, 10th,6, Married-civ-spouse, Craft-repair, Wife, Other, Female,0,0,48, Guatemala, <=50K
+9985,26, Private,142689, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, ?, <=50K
+9986,41, State-gov,170924, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+9987,67, ?,274451, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+9988,43, Private,153489, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+9989,35, Private,186489, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K
+9990,18, Private,192409, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+9991,55, State-gov,337599, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+9992,44, Private,195545, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+9993,64, Private,61892, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,15, United-States, <=50K
+9994,34, Self-emp-not-inc,175697, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, <=50K
+9995,38, Private,80303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+9996,25, Private,419658, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K
+9997,21, Private,319163, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+9998,37, Private,126743, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,53, Mexico, <=50K
+9999,39, Private,301568, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+10000,34, Private,120461, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+10001,23, Private,268145, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+10002,54, Private,257337, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10003,49, Self-emp-inc,213354, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K
+10004,25, Private,303431, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+10005,51, Private,124963, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+10006,29, Private,158218, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K
+10007,27, State-gov,553473, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,48, United-States, <=50K
+10008,53, Private,46155, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K
+10009,68, Private,138714, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+10010,56, Private,231781, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+10011,30, Private,496414, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K
+10012,24, Private,19410, HS-grad,9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,48, United-States, <=50K
+10013,70, ?,28471, 9th,5, Widowed, ?, Unmarried, White, Female,0,0,25, United-States, <=50K
+10014,24, Private,185821, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+10015,74, ?,272667, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+10016,23, ?,194031, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+10017,41, Local-gov,144995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+10018,45, Private,162494, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K
+10019,35, Private,171968, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10020,21, Private,232569, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10021,45, Private,161819, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,25, United-States, <=50K
+10022,18, Private,123343, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+10023,49, Private,105449, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Male,0,0,25, United-States, <=50K
+10024,49, Private,181717, Assoc-voc,11, Separated, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K
+10025,45, Local-gov,102359, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K
+10026,27, Private,72887, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+10027,28, Private,154571, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+10028,35, Private,255191, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+10029,33, Private,174789, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10030,35, Private,110402, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+10031,19, Private,208513, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+10032,33, Private,121904, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+10033,28, Private,34335, HS-grad,9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,14084,0,40, United-States, >50K
+10034,49, Private,59380, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10035,61, ?,135285, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2603,32, United-States, <=50K
+10036,39, Self-emp-inc,126675, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K
+10037,22, Private,217363, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10038,42, Private,91836, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10039,22, Private,184813, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+10040,18, Private,178142, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+10041,49, Local-gov,102359, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Male,0,2231,40, United-States, >50K
+10042,33, Self-emp-inc,281832, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K
+10043,28, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+10044,42, Private,195124, 7th-8th,4, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0,0,35, Puerto-Rico, <=50K
+10045,20, Private,56322, Some-college,10, Never-married, Other-service, Own-child, White, Male,2176,0,25, United-States, <=50K
+10046,50, Local-gov,97449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K
+10047,32, Private,339773, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10048,31, Federal-gov,210926, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+10049,29, Private,199499, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+10050,46, Federal-gov,190729, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+10051,32, Self-emp-inc,191385, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,77, United-States, <=50K
+10052,61, Private,193479, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K
+10053,43, Self-emp-not-inc,225165, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+10054,35, Private,346766, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10055,39, State-gov,152307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10056,18, ?,79990, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+10057,42, Self-emp-not-inc,170649, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+10058,23, Private,197207, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10059,32, Private,229732, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+10060,52, Private,204402, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K
+10061,36, Private,181065, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+10062,38, Private,179579, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K
+10063,50, Private,237729, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,2444,72, United-States, >50K
+10064,23, ?,164574, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+10065,71, Private,179574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,12, United-States, >50K
+10066,27, Private,191782, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,30, United-States, <=50K
+10067,56, Private,146660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+10068,28, Self-emp-not-inc,115945, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+10069,45, Private,210875, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10070,28, Private,137898, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+10071,28, Local-gov,216965, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10072,18, Private,201554, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,15, United-States, <=50K
+10073,62, Private,57970, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10074,35, Private,208378, 12th,8, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+10075,39, Private,61343, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+10076,24, Private,283872, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+10077,58, Private,225603, 9th,5, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+10078,48, Private,401333, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10079,57, Private,278228, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10080,31, Private,145377, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+10081,25, Private,120238, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10082,34, Private,187215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,36, United-States, >50K
+10083,29, Self-emp-not-inc,144063, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+10084,38, Private,238721, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10085,21, Private,164920, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+10086,34, Self-emp-not-inc,152493, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+10087,50, Private,92968, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K
+10088,50, Private,136836, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10089,49, Federal-gov,216453, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K
+10090,30, Private,349148, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K
+10091,29, State-gov,309620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K
+10092,22, State-gov,347803, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,20, United-States, <=50K
+10093,42, Private,85995, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+10094,19, ?,167428, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+10095,31, Private,164569, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K
+10096,42, Self-emp-not-inc,308279, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,21, United-States, <=50K
+10097,20, Private,56322, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+10098,51, ?,203015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+10099,50, Private,211654, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10100,27, Self-emp-inc,120126, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+10101,26, Private,239043, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10102,61, ?,179761, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+10103,20, Private,312017, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Germany, <=50K
+10104,51, Private,257485, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10105,52, Private,49243, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10106,33, Private,229716, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K
+10107,31, Private,341672, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K
+10108,24, Private,32311, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+10109,56, Private,275236, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10110,19, ?,400356, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+10111,29, Private,184596, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,3942,0,50, United-States, <=50K
+10112,18, Private,186909, HS-grad,9, Never-married, Sales, Other-relative, White, Female,1055,0,30, United-States, <=50K
+10113,43, Private,152420, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K
+10114,43, State-gov,261929, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,25236,0,64, United-States, >50K
+10115,21, Private,235442, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+10116,51, Private,161691, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+10117,20, ?,173945, 11th,7, Married-civ-spouse, ?, Other-relative, White, Female,0,0,39, United-States, <=50K
+10118,41, Private,355918, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K
+10119,45, State-gov,198660, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10120,20, Private,122649, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+10121,28, Private,421967, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K
+10122,50, Local-gov,259377, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K
+10123,47, Private,74305, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10124,80, Self-emp-not-inc,34340, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K
+10125,47, Self-emp-not-inc,182752, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Iran, <=50K
+10126,19, ?,48393, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,84, United-States, <=50K
+10127,45, Private,34248, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+10128,17, Private,186677, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+10129,37, Private,167851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+10130,27, Private,146460, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10131,17, Private,209650, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+10132,18, Self-emp-not-inc,132986, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+10133,57, Private,94429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+10134,26, Private,252406, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10135,26, Private,174592, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+10136,36, Self-emp-not-inc,151322, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+10137,51, Private,37237, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, >50K
+10138,38, Private,101192, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10139,77, ?,152900, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+10140,51, Private,94081, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+10141,24, Private,329408, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10142,35, Private,106028, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K
+10143,35, ?,164866, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,99, United-States, <=50K
+10144,51, Self-emp-inc,167793, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+10145,28, Private,138692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10146,37, Private,173968, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+10147,43, Private,228320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+10148,23, Private,96585, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+10149,42, Private,156580, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Puerto-Rico, <=50K
+10150,58, Private,210673, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+10151,52, Local-gov,137753, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,20, United-States, <=50K
+10152,29, Private,29865, HS-grad,9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, <=50K
+10153,27, Private,196044, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+10154,28, Private,308995, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, Jamaica, <=50K
+10155,59, Private,159008, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,20, United-States, >50K
+10156,28, Private,362491, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+10157,24, Private,94395, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10158,20, Private,320047, 10th,6, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10159,54, Private,98535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10160,65, Private,183170, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+10161,18, ?,331511, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+10162,38, Private,195686, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10163,29, Private,178244, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10164,27, Private,127833, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+10165,36, Private,269722, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+10166,55, State-gov,136819, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10167,22, Private,205604, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, Mexico, <=50K
+10168,28, Private,132078, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10169,20, Private,234880, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+10170,24, Private,196816, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K
+10171,36, Private,237943, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+10172,68, Self-emp-inc,140852, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10173,49, Self-emp-not-inc,105614, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+10174,18, Private,83492, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+10175,50, Self-emp-not-inc,225772, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K
+10176,37, Private,242713, 12th,8, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10177,60, Private,355865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10178,43, Private,173316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10179,43, Self-emp-inc,35662, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, >50K
+10180,17, Private,297246, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,9, United-States, <=50K
+10181,43, Private,108945, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+10182,39, Private,112158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, ?, <=50K
+10183,21, Self-emp-not-inc,57298, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+10184,42, Self-emp-not-inc,115323, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, ?, <=50K
+10185,48, Self-emp-not-inc,164582, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,60, United-States, >50K
+10186,56, Private,295067, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K
+10187,21, Private,177265, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+10188,28, Local-gov,336543, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K
+10189,39, Self-emp-not-inc,52870, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10190,40, Private,316820, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+10191,38, Local-gov,200153, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10192,59, Private,453067, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K
+10193,51, Federal-gov,27166, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+10194,19, Private,299598, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+10195,23, Private,122048, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10196,31, Private,345277, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10197,42, Private,113147, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+10198,43, Private,34007, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10199,45, Private,255014, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+10200,34, Private,152667, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K
+10201,21, Private,231053, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K
+10202,34, Private,103651, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10203,55, Self-emp-inc,124137, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+10204,30, Private,198183, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10205,29, Private,183627, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,48, Ireland, <=50K
+10206,19, Private,466458, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+10207,45, Self-emp-not-inc,114396, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+10208,42, Private,186376, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,72, Philippines, >50K
+10209,32, Private,290964, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1590,40, United-States, <=50K
+10210,90, Self-emp-not-inc,282095, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+10211,44, State-gov,244974, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K
+10212,34, Self-emp-not-inc,114691, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10213,35, Private,107160, 12th,8, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+10214,39, Self-emp-not-inc,142573, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K
+10215,29, Private,203833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+10216,24, Private,47791, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+10217,49, Private,133729, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,17, United-States, <=50K
+10218,52, Self-emp-not-inc,135339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+10219,54, Private,135803, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,60, South, >50K
+10220,31, Private,128591, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10221,44, Private,133853, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+10222,18, ?,137363, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+10223,27, Self-emp-not-inc,243569, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10224,24, Private,119156, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+10225,30, Private,391114, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+10226,27, Private,252506, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+10227,34, State-gov,117503, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, Italy, <=50K
+10228,25, State-gov,117833, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,19, United-States, <=50K
+10229,39, Private,294183, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+10230,28, Private,394927, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+10231,51, Self-emp-not-inc,259323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+10232,21, ?,207988, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,35, United-States, <=50K
+10233,33, Private,96635, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,26, South, <=50K
+10234,27, Private,192283, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,38, United-States, <=50K
+10235,29, Private,214881, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10236,33, State-gov,167474, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+10237,37, Private,110713, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+10238,20, Private,201204, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+10239,24, Private,197666, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10240,29, Private,162002, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+10241,31, Private,263561, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,45, United-States, >50K
+10242,41, Private,224799, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10243,42, Self-emp-not-inc,89942, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10244,20, Private,238685, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+10245,54, Private,38795, 9th,5, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+10246,55, Private,90414, Bachelors,13, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,55, Ireland, <=50K
+10247,21, Private,190805, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K
+10248,52, Private,23780, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+10249,19, Private,285263, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+10250,33, Private,177331, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+10251,22, Private,347530, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+10252,59, Private,230039, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,625,38, United-States, <=50K
+10253,17, ?,210547, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+10254,31, Private,204752, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,32, United-States, <=50K
+10255,74, Self-emp-not-inc,104001, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+10256,45, Private,253116, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10257,36, Private,169037, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10258,35, Self-emp-inc,202027, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+10259,45, Private,170099, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10260,42, Self-emp-not-inc,212847, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K
+10261,50, State-gov,307392, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+10262,39, Private,233428, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K
+10263,44, Private,355728, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,1980,45, England, <=50K
+10264,52, Private,177995, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, Mexico, >50K
+10265,24, Private,283613, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K
+10266,56, Self-emp-inc,184598, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K
+10267,27, Private,185647, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+10268,47, Self-emp-inc,192894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K
+10269,40, Self-emp-not-inc,284706, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,1977,60, United-States, >50K
+10270,38, Private,179579, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10271,27, Private,131679, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10272,52, Private,132973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+10273,22, Private,154713, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+10274,41, Private,121718, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K
+10275,30, Private,255279, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+10276,55, Private,202559, Bachelors,13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,35, Philippines, <=50K
+10277,25, Private,123095, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,1590,40, United-States, <=50K
+10278,32, Private,153326, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K
+10279,28, Private,75695, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K
+10280,33, Self-emp-inc,206609, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+10281,17, Private,234780, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K
+10282,27, Private,178778, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+10283,55, Private,171355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K
+10284,63, Federal-gov,95680, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K
+10285,39, Private,196673, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,5013,0,40, United-States, <=50K
+10286,51, Federal-gov,73670, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,52, United-States, >50K
+10287,67, Self-emp-not-inc,139960, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10288,41, Self-emp-inc,397280, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, ?, <=50K
+10289,27, Private,60374, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,1594,26, United-States, <=50K
+10290,54, Private,421561, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+10291,59, Private,245196, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+10292,18, Private,27620, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+10293,19, Private,187570, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+10294,31, Private,102884, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+10295,17, Private,228399, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,7, United-States, <=50K
+10296,42, Private,340234, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,15024,0,40, United-States, >50K
+10297,37, Private,176293, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+10298,51, Local-gov,108435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10299,48, Private,161187, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2463,0,40, United-States, <=50K
+10300,23, Private,278391, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+10301,27, Private,157941, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+10302,25, Private,182866, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+10303,69, Private,370888, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,2964,0,6, Germany, <=50K
+10304,30, Private,206512, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K
+10305,33, Private,357954, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, India, <=50K
+10306,28, Private,189346, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,48, United-States, <=50K
+10307,45, Private,234652, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+10308,25, Private,113436, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K
+10309,37, Private,204145, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+10310,59, Private,157305, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K
+10311,26, Private,104045, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+10312,48, Private,280422, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,25, Peru, <=50K
+10313,64, Federal-gov,173754, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+10314,39, Private,211154, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+10315,24, Private,321435, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10316,40, State-gov,177083, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+10317,46, Private,178829, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K
+10318,35, Federal-gov,287658, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+10319,43, Private,209894, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+10320,31, Private,334744, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10321,22, Private,306967, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+10322,35, Private,52187, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+10323,35, Private,101978, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+10324,35, State-gov,483530, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+10325,40, Private,77357, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10326,50, Private,149770, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+10327,48, Self-emp-not-inc,328606, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,14084,0,63, United-States, >50K
+10328,70, ?,172652, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+10329,46, Private,188293, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10330,36, Private,116608, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, United-States, <=50K
+10331,37, State-gov,348960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K
+10332,24, Private,329530, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, <=50K
+10333,47, Local-gov,93476, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K
+10334,35, Self-emp-not-inc,195744, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+10335,43, Private,125833, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+10336,18, State-gov,191117, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+10337,54, Private,311020, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+10338,62, Private,210464, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,38, United-States, <=50K
+10339,36, Private,135289, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+10340,27, Private,156266, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+10341,23, Private,154210, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,14, Puerto-Rico, <=50K
+10342,61, ?,160625, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,4386,0,15, United-States, >50K
+10343,39, Self-emp-not-inc,331481, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Male,0,1669,60, ?, <=50K
+10344,33, Self-emp-not-inc,249249, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+10345,28, Private,261725, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+10346,22, Private,239612, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+10347,31, Self-emp-not-inc,226696, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+10348,26, Private,190330, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+10349,44, Private,193755, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+10350,73, Private,192740, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+10351,44, Private,201924, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+10352,35, Private,77146, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+10353,33, Private,126414, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K
+10354,27, Private,43652, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10355,47, Federal-gov,227244, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K
+10356,29, Private,160731, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+10357,33, Private,287878, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,26, United-States, <=50K
+10358,50, Private,166758, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+10359,32, Private,183811, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829,0,40, United-States, <=50K
+10360,41, Self-emp-not-inc,254818, Masters,14, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, Peru, <=50K
+10361,19, ?,220517, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+10362,45, Private,295046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+10363,65, Private,190568, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,810,36, United-States, <=50K
+10364,42, State-gov,211915, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+10365,33, Self-emp-not-inc,295621, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,25, United-States, >50K
+10366,32, Private,204567, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K
+10367,42, Private,204235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10368,49, Private,186982, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+10369,38, Private,133586, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,45, United-States, <=50K
+10370,38, Private,165930, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+10371,37, Private,164898, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K
+10372,24, Private,278155, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K
+10373,27, Self-emp-not-inc,115705, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+10374,25, Private,150553, 9th,5, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+10375,29, Private,185127, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+10376,46, Private,201595, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K
+10377,44, Self-emp-inc,165815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,96, United-States, <=50K
+10378,26, Private,102420, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+10379,46, Local-gov,344172, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,49, United-States, >50K
+10380,38, Private,222450, Some-college,10, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+10381,38, Private,212245, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10382,22, State-gov,190625, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+10383,33, Private,203488, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10384,50, Private,304260, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+10385,31, Local-gov,243665, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,41, United-States, >50K
+10386,26, Self-emp-not-inc,189238, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,4, Mexico, <=50K
+10387,42, Private,77373, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K
+10388,27, Private,410351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10389,34, Private,36385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+10390,64, Private,110150, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10391,43, Private,198316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10392,39, Private,127772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10393,47, Self-emp-not-inc,199058, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+10394,56, Private,285730, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, United-States, <=50K
+10395,25, Local-gov,334133, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+10396,60, State-gov,97030, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+10397,52, Private,67090, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+10398,43, Private,397963, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,594,0,16, United-States, <=50K
+10399,46, Private,182533, Bachelors,13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+10400,19, Private,560804, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+10401,56, Private,365050, 7th-8th,4, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,20, United-States, <=50K
+10402,22, Private,110200, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10403,28, Private,150025, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+10404,39, Private,299828, 5th-6th,3, Separated, Sales, Unmarried, Black, Female,0,0,30, Puerto-Rico, <=50K
+10405,28, Private,109282, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10406,31, Private,103435, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+10407,22, Private,34747, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+10408,39, Private,137522, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+10409,39, Private,286789, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10410,28, Self-emp-not-inc,211032, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+10411,67, ?,192916, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3818,0,11, United-States, <=50K
+10412,31, Private,219318, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K
+10413,50, Private,112873, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10414,34, Private,36069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,46, United-States, <=50K
+10415,48, Private,73434, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Germany, >50K
+10416,51, Private,200576, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10417,54, Private,172962, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10418,44, Private,44006, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10419,20, Private,234474, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+10420,37, Private,212826, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+10421,38, Private,234901, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10422,59, Federal-gov,200700, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+10423,59, Self-emp-not-inc,41258, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+10424,51, Private,249644, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, >50K
+10425,60, ?,230165, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+10426,29, Private,351731, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10427,37, Private,114765, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10428,42, Private,349884, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+10429,28, Self-emp-inc,204247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+10430,34, Private,143392, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+10431,50, Self-emp-not-inc,37913, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Italy, >50K
+10432,22, Self-emp-inc,150683, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,24, United-States, <=50K
+10433,27, Private,207611, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,52, United-States, <=50K
+10434,45, State-gov,319666, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K
+10435,39, Private,155961, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+10436,25, Local-gov,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+10437,63, ?,447079, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K
+10438,24, Self-emp-inc,142404, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10439,18, Private,155752, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K
+10440,19, ?,252292, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+10441,23, Private,111450, 12th,8, Never-married, Other-service, Unmarried, Black, Male,0,0,38, United-States, <=50K
+10442,20, Private,528616, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K
+10443,17, Self-emp-not-inc,228786, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+10444,63, Self-emp-inc,80572, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+10445,28, Local-gov,180271, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, >50K
+10446,51, Federal-gov,237819, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+10447,29, Private,157612, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,3325,0,45, United-States, <=50K
+10448,64, Private,379062, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,12, United-States, <=50K
+10449,17, Private,191910, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+10450,45, Local-gov,326064, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,6497,0,35, United-States, <=50K
+10451,18, Private,312353, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+10452,31, Local-gov,213307, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+10453,48, Self-emp-not-inc,209057, Bachelors,13, Married-spouse-absent, Sales, Own-child, White, Male,0,0,50, United-States, >50K
+10454,41, Private,340148, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+10455,65, Private,154171, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, United-States, >50K
+10456,27, Private,94064, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10457,39, Private,119098, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+10458,51, Self-emp-not-inc,388496, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,8, Puerto-Rico, >50K
+10459,49, Private,181363, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+10460,58, ?,210031, HS-grad,9, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+10461,36, Private,206951, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K
+10462,25, Private,485496, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+10463,41, Private,210259, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K
+10464,31, Private,118551, 9th,5, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10465,63, Private,180911, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,37, United-States, >50K
+10466,50, State-gov,242517, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10467,63, Private,298113, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10468,44, Self-emp-not-inc,277783, Masters,14, Never-married, Farming-fishing, Own-child, White, Male,0,0,99, United-States, <=50K
+10469,48, Private,155862, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+10470,51, Self-emp-not-inc,171924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+10471,18, Private,243900, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+10472,23, Private,231160, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+10473,31, Private,356882, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K
+10474,38, Private,49020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10475,19, ?,105460, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, England, <=50K
+10476,56, Private,157749, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+10477,31, Private,131568, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K
+10478,46, Private,332355, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+10479,39, Private,204501, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10480,56, Local-gov,305767, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+10481,31, Private,129761, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+10482,42, Self-emp-inc,130126, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+10483,53, Private,102828, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+10484,18, Private,160984, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+10485,18, ?,255282, 11th,7, Never-married, ?, Own-child, Black, Male,0,1602,48, United-States, <=50K
+10486,20, ?,346341, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+10487,27, Private,285897, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,45, United-States, >50K
+10488,31, Private,356689, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10489,52, Federal-gov,192386, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, United-States, <=50K
+10490,46, Private,394860, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+10491,30, Private,113129, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K
+10492,26, Private,55929, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10493,48, Local-gov,177018, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+10494,37, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10495,29, Private,309463, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10496,49, Private,165468, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K
+10497,24, Private,49218, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10498,74, Self-emp-not-inc,119129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2149,20, United-States, <=50K
+10499,56, Self-emp-not-inc,162130, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,67, United-States, >50K
+10500,39, Federal-gov,129573, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+10501,21, Private,306850, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+10502,29, Private,135296, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,45, United-States, >50K
+10503,43, Self-emp-not-inc,187322, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K
+10504,23, Private,55674, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,2907,0,40, United-States, <=50K
+10505,26, Private,148298, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+10506,47, Private,34845, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+10507,27, Private,200733, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K
+10508,45, Private,191858, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+10509,30, Private,425528, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,70, United-States, <=50K
+10510,35, Private,44780, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,20, United-States, >50K
+10511,33, Private,125856, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10512,37, Private,100508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10513,21, Private,148294, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+10514,42, Private,39324, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10515,48, Federal-gov,147397, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K
+10516,46, Private,24728, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,48, United-States, <=50K
+10517,36, Private,177616, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10518,54, Private,163826, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10519,25, Private,199947, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+10520,26, Local-gov,386949, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K
+10521,36, Self-emp-inc,116133, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,57, United-States, <=50K
+10522,56, Self-emp-not-inc,196307, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+10523,37, Private,177181, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10524,26, Private,324854, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+10525,23, Private,188505, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+10526,23, State-gov,502316, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10527,41, State-gov,26892, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10528,55, Private,102058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10529,39, Private,167728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10530,67, Local-gov,233681, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+10531,60, Private,26756, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+10532,54, Private,101890, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+10533,38, Private,192337, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, >50K
+10534,47, Private,340982, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,3103,0,40, Philippines, >50K
+10535,49, State-gov,102308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+10536,19, Private,84747, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+10537,20, Private,197752, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+10538,66, Private,185336, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K
+10539,22, ?,289984, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,25, United-States, <=50K
+10540,51, Self-emp-not-inc,125417, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+10541,19, Private,278480, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10542,36, Private,146412, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10543,33, Private,193042, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+10544,41, Private,53956, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1980,56, United-States, <=50K
+10545,90, Private,175491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,9386,0,50, Ecuador, >50K
+10546,78, ?,33186, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+10547,36, Private,144154, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10548,30, Private,194901, Prof-school,15, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K
+10549,35, Private,335777, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+10550,46, Private,139268, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+10551,38, Private,33887, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+10552,24, Private,283613, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10553,40, Private,141245, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Puerto-Rico, <=50K
+10554,49, Private,298130, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10555,19, Private,186096, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K
+10556,77, Private,187656, Some-college,10, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K
+10557,46, Private,102308, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, United-States, >50K
+10558,41, Private,124639, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+10559,28, Private,388112, 1st-4th,2, Never-married, Farming-fishing, Unmarried, White, Male,0,0,77, Mexico, <=50K
+10560,21, Private,109952, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10561,24, Private,164529, 12th,8, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K
+10562,36, Private,247750, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K
+10563,23, State-gov,103588, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+10564,38, Federal-gov,248919, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,40, United-States, <=50K
+10565,29, Self-emp-not-inc,178551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10566,38, Private,136137, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, >50K
+10567,47, Federal-gov,55377, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, >50K
+10568,39, Local-gov,177728, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10569,40, Local-gov,243580, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+10570,21, ?,188535, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+10571,32, Private,63910, HS-grad,9, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+10572,23, Private,219535, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+10573,44, State-gov,180609, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10574,37, Private,59313, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K
+10575,70, Private,170428, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K
+10576,51, Private,102615, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K
+10577,66, Private,193132, 9th,5, Separated, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+10578,57, Self-emp-inc,124137, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+10579,36, Private,136629, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+10580,48, Self-emp-inc,148995, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+10581,24, ?,203076, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+10582,51, Private,63424, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+10583,43, Private,241895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10584,27, Private,266973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+10585,32, Private,188048, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+10586,20, Private,366929, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+10587,33, Private,214129, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10588,19, Private,250818, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10589,32, Local-gov,240979, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+10590,35, Private,98283, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, >50K
+10591,26, Private,104746, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K
+10592,39, Private,103710, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K
+10593,24, Private,159580, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,75, United-States, <=50K
+10594,45, Private,117409, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10595,20, Private,140001, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+10596,49, State-gov,31650, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,0,45, United-States, <=50K
+10597,35, State-gov,80771, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10598,30, Private,66278, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10599,23, Private,107801, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1617,25, United-States, <=50K
+10600,33, Private,206609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+10601,35, Private,282461, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+10602,31, Private,188246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+10603,20, Private,279763, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,25, United-States, <=50K
+10604,44, Private,467799, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10605,33, Self-emp-not-inc,137674, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+10606,50, Private,158284, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10607,25, Private,204219, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K
+10608,28, State-gov,210498, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10609,60, Federal-gov,63526, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+10610,38, Federal-gov,216924, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10611,38, Private,372559, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+10612,57, Federal-gov,199114, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,2258,40, United-States, <=50K
+10613,50, Private,168539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10614,39, Local-gov,189911, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10615,69, Local-gov,61958, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,1424,0,6, United-States, <=50K
+10616,51, State-gov,68898, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,2444,39, United-States, >50K
+10617,42, Private,204450, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+10618,53, Private,311350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10619,37, Private,113750, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+10620,37, Private,359591, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10621,38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K
+10622,20, Private,301199, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+10623,38, State-gov,267540, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+10624,52, Private,185407, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, Poland, >50K
+10625,48, Self-emp-inc,191277, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+10626,30, Private,78980, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+10627,37, Self-emp-not-inc,241463, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,65, United-States, >50K
+10628,47, Private,216999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+10629,33, Local-gov,120508, Bachelors,13, Divorced, Protective-serv, Unmarried, White, Female,0,0,60, Germany, <=50K
+10630,33, Private,122612, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Thailand, <=50K
+10631,20, Private,94057, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+10632,41, State-gov,197558, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10633,32, Private,351869, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1485,45, United-States, >50K
+10634,54, Self-emp-not-inc,121761, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K
+10635,36, Federal-gov,184556, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+10636,46, Private,268281, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10637,45, Private,235646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10638,18, Private,186909, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+10639,62, Private,35783, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+10640,33, Private,188861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10641,42, Private,363591, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+10642,18, Private,469921, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+10643,32, Private,51150, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10644,43, Private,174325, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+10645,20, Private,347530, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+10646,50, Private,72351, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+10647,42, Local-gov,185129, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, ?, >50K
+10648,36, Private,188571, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10649,22, Private,255252, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+10650,30, Private,291951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+10651,33, Self-emp-not-inc,223046, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10652,43, Local-gov,37937, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, <=50K
+10653,38, Private,295127, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10654,34, Local-gov,183801, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,14, United-States, <=50K
+10655,40, Private,116218, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+10656,40, Private,143069, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10657,41, Local-gov,235951, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+10658,57, Private,112840, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+10659,65, Local-gov,146454, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1648,4, Greece, <=50K
+10660,52, Federal-gov,43705, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+10661,59, Private,122283, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, India, >50K
+10662,18, Private,376647, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,25, United-States, <=50K
+10663,48, Private,101299, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+10664,45, Private,96798, 5th-6th,3, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+10665,24, Private,194654, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10666,27, State-gov,206889, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10667,40, Private,226902, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+10668,44, State-gov,150755, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K
+10669,24, Private,200679, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,50, United-States, <=50K
+10670,71, Private,183678, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K
+10671,17, Private,33138, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+10672,57, Self-emp-not-inc,57071, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K
+10673,71, ?,35303, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,9386,0,30, United-States, >50K
+10674,37, Private,188576, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+10675,33, Private,169496, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+10676,41, Private,58124, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+10677,25, Private,356344, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+10678,42, Self-emp-not-inc,444134, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K
+10679,18, ?,340117, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,50, United-States, <=50K
+10680,34, Private,219619, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10681,57, ?,334585, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+10682,27, Local-gov,331046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+10683,46, ?,443179, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K
+10684,64, ?,239529, 11th,7, Widowed, ?, Not-in-family, White, Female,3674,0,35, United-States, <=50K
+10685,24, Private,100345, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+10686,23, Private,205653, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+10687,33, Private,112383, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10688,58, Self-emp-inc,21626, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,2202,0,56, United-States, <=50K
+10689,25, Private,135568, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+10690,44, Private,190532, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+10691,53, Federal-gov,266598, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10692,38, Local-gov,116608, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+10693,36, Private,353263, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K
+10694,25, State-gov,157617, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10695,54, Federal-gov,21698, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+10696,31, Private,77143, 12th,8, Separated, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K
+10697,18, State-gov,342852, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+10698,40, Private,176602, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+10699,26, Private,146343, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K
+10700,68, ?,146645, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,20051,0,50, United-States, >50K
+10701,33, Private,221966, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,2202,0,50, United-States, <=50K
+10702,22, Private,215546, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+10703,50, State-gov,173020, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10704,24, ?,247734, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+10705,44, Private,252202, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10706,37, Private,497300, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+10707,34, Self-emp-not-inc,426431, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10708,45, Federal-gov,162410, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,45, United-States, >50K
+10709,77, ?,143516, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K
+10710,25, Private,190350, 10th,6, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+10711,20, Private,194504, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10712,46, Federal-gov,110884, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+10713,26, Private,187652, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+10714,45, Private,81400, 1st-4th,2, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, El-Salvador, <=50K
+10715,70, ?,97831, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,4, United-States, <=50K
+10716,57, Private,180920, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+10717,28, Private,189186, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10718,35, ?,144172, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, <=50K
+10719,36, Private,607848, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K
+10720,32, Private,207301, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10721,29, Private,293073, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+10722,36, Private,210452, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K
+10723,19, Private,41400, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+10724,27, Private,164170, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,20, Philippines, <=50K
+10725,48, Private,112906, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K
+10726,49, Self-emp-not-inc,126268, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+10727,55, Private,208311, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,20, United-States, >50K
+10728,61, Private,28291, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,82, United-States, <=50K
+10729,42, Local-gov,121998, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+10730,42, Federal-gov,31621, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10731,30, Local-gov,108386, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10732,32, Self-emp-not-inc,134727, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10733,37, Private,208391, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+10734,35, Private,112271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+10735,30, Private,173350, Assoc-voc,11, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10736,30, Private,243190, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, India, >50K
+10737,55, Private,185436, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+10738,36, Private,290409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+10739,33, Private,80058, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,48, United-States, <=50K
+10740,56, Local-gov,370045, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10741,26, Private,36936, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K
+10742,37, Private,231180, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10743,28, Private,119793, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K
+10744,38, Private,102178, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+10745,76, ?,135039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+10746,35, ?,317780, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10747,48, Private,232840, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K
+10748,35, Private,33975, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10749,39, Local-gov,256997, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10750,64, Private,298301, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+10751,22, Private,310380, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10752,45, Local-gov,182100, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+10753,27, Private,501172, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K
+10754,43, State-gov,143939, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, >50K
+10755,23, Private,85088, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K
+10756,25, Private,282313, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,1602,40, United-States, <=50K
+10757,39, Private,230054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+10758,63, Private,236338, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K
+10759,37, Private,321943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10760,26, Federal-gov,218782, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0,0,40, United-States, <=50K
+10761,33, Private,191385, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K
+10762,45, Self-emp-inc,185497, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,70, ?, <=50K
+10763,28, Private,126129, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10764,20, Private,199268, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+10765,34, Private,255693, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+10766,34, Private,203488, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+10767,41, Private,203233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10768,38, Private,203836, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+10769,36, Private,187847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+10770,38, Private,116358, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+10771,46, Self-emp-inc,198660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,72, United-States, >50K
+10772,43, Self-emp-not-inc,89636, Bachelors,13, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,60, South, <=50K
+10773,49, Private,120629, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+10774,26, Local-gov,150226, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K
+10775,28, Private,137898, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+10776,54, Self-emp-inc,146574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10777,53, Private,88725, HS-grad,9, Never-married, Craft-repair, Not-in-family, Other, Female,0,0,40, ?, <=50K
+10778,24, Private,142022, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+10779,23, Private,284898, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K
+10780,55, Local-gov,212448, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10781,58, Self-emp-not-inc,203039, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10782,26, Private,227489, HS-grad,9, Never-married, Tech-support, Other-relative, Black, Male,0,0,40, ?, <=50K
+10783,19, Private,105289, 10th,6, Never-married, Other-service, Other-relative, Black, Female,0,0,20, United-States, <=50K
+10784,28, ?,223745, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+10785,45, Private,242994, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K
+10786,30, Private,196385, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+10787,76, Private,116202, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K
+10788,47, Private,140045, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10789,34, Private,133503, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+10790,40, Private,226585, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+10791,24, Private,85041, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+10792,30, Private,162442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,50, United-States, >50K
+10793,67, Private,279980, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,10605,0,10, United-States, >50K
+10794,24, Private,216563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+10795,43, Local-gov,231964, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+10796,29, Private,263855, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+10797,40, Private,124915, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10798,61, Federal-gov,178312, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10799,45, Local-gov,215862, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K
+10800,21, State-gov,39236, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K
+10801,58, Private,349910, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+10802,52, Private,75839, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+10803,34, Private,176711, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+10804,20, Private,266525, Some-college,10, Never-married, Prof-specialty, Other-relative, Black, Female,594,0,20, United-States, <=50K
+10805,25, ?,34307, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10806,46, Private,331776, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10807,54, Private,111469, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10808,43, State-gov,198965, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10809,25, Private,288185, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+10810,21, Private,198050, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+10811,65, Private,242580, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,11678,0,50, United-States, >50K
+10812,37, Private,173128, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10813,29, Private,87905, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,10520,0,40, United-States, >50K
+10814,44, Private,173704, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10815,37, Federal-gov,93225, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K
+10816,38, Private,323269, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K
+10817,35, Private,158046, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,70, United-States, <=50K
+10818,32, Private,133503, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+10819,44, Self-emp-not-inc,172296, Some-college,10, Separated, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K
+10820,39, ?,201105, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K
+10821,23, Private,176486, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K
+10822,25, Self-emp-inc,182750, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K
+10823,23, Private,82497, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K
+10824,47, Private,208872, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10825,47, Private,145269, 11th,7, Divorced, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K
+10826,25, Private,19214, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10827,35, Private,149347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+10828,68, ?,53850, 7th-8th,4, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+10829,50, Private,158294, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K
+10830,47, Private,152073, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+10831,35, Private,189623, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+10832,24, Private,341368, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10833,21, Private,201603, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,2176,0,40, United-States, <=50K
+10834,35, Private,270572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+10835,30, Private,285295, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+10836,17, Private,126779, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+10837,49, ?,202874, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, Columbia, <=50K
+10838,27, Private,373499, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,60, El-Salvador, <=50K
+10839,22, Private,244773, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K
+10840,22, State-gov,96862, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+10841,50, Private,162632, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,2, United-States, <=50K
+10842,51, Self-emp-not-inc,159755, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K
+10843,27, Private,37088, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K
+10844,27, Private,335421, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+10845,23, Never-worked,188535, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K
+10846,20, State-gov,349365, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10847,42, Private,33002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+10848,32, Private,330715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K
+10849,45, Private,146857, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+10850,35, Private,275522, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K
+10851,22, Private,43646, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+10852,34, Private,154548, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+10853,28, Private,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10854,38, Private,238397, Bachelors,13, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,24, United-States, <=50K
+10855,48, Local-gov,195949, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, >50K
+10856,22, ?,354351, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10857,34, Private,349169, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+10858,25, Private,158662, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K
+10859,23, Local-gov,23438, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10860,38, Private,107302, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+10861,43, Private,174196, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10862,49, Local-gov,226871, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+10863,23, Private,124971, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10864,57, Private,214061, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10865,24, Private,441700, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+10866,44, Self-emp-inc,104892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, >50K
+10867,34, Private,234386, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+10868,29, Local-gov,188278, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+10869,29, Private,244395, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10870,35, Private,30916, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+10871,48, Private,219565, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10872,38, Private,377486, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,36, United-States, <=50K
+10873,42, Local-gov,137232, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,50, United-States, <=50K
+10874,53, Private,233369, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+10875,29, Private,71067, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+10876,59, Private,195176, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, <=50K
+10877,31, Private,98639, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+10878,34, Private,183778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10879,51, Private,123011, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,50, United-States, >50K
+10880,25, Private,164938, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,4416,0,40, United-States, <=50K
+10881,28, ?,147471, HS-grad,9, Divorced, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+10882,30, Private,206046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K
+10883,46, Private,81497, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K
+10884,45, Private,189225, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10885,23, Private,141264, Some-college,10, Never-married, Exec-managerial, Other-relative, Black, Female,0,0,40, United-States, <=50K
+10886,33, Private,97939, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K
+10887,44, Private,160829, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, >50K
+10888,25, Private,483822, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+10889,48, State-gov,148738, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+10890,23, Private,289982, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10891,33, Self-emp-not-inc,58702, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,50, United-States, >50K
+10892,20, Private,146706, Some-college,10, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,30, United-States, <=50K
+10893,23, Private,420973, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10894,71, Private,124959, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10895,22, State-gov,121471, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10896,36, Private,198237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+10897,27, Private,280758, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K
+10898,40, Private,191544, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+10899,30, Private,261023, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,50, United-States, <=50K
+10900,30, State-gov,231043, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10901,30, Private,340917, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10902,35, Private,167140, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K
+10903,39, Private,370795, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10904,39, Federal-gov,209609, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+10905,74, Private,209454, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+10906,32, Self-emp-inc,78530, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+10907,25, Private,88922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+10908,64, Private,86972, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+10909,47, Self-emp-not-inc,165468, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K
+10910,37, Private,134367, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,37, United-States, >50K
+10911,47, Private,199058, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10912,33, Private,183612, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+10913,40, Private,191982, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+10914,22, Private,514033, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,80, United-States, <=50K
+10915,56, Private,172364, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10916,37, Private,190105, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K
+10917,30, Self-emp-inc,119422, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+10918,20, Private,236592, 12th,8, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, Italy, <=50K
+10919,53, State-gov,43952, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,38, United-States, >50K
+10920,43, Private,194636, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+10921,23, Private,235853, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+10922,43, Self-emp-not-inc,150528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+10923,30, Private,213722, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+10924,20, Private,41432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,46, United-States, <=50K
+10925,22, Private,285775, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+10926,38, Private,470663, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+10927,54, Self-emp-not-inc,114520, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+10928,23, Private,113466, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10929,46, Private,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+10930,59, Private,186385, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+10931,28, ?,167094, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K
+10932,18, ?,216508, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K
+10933,41, Local-gov,384236, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10934,42, Private,181265, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+10935,58, Private,190997, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+10936,24, Private,98287, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+10937,39, Private,103456, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+10938,28, Private,184723, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1980,35, United-States, <=50K
+10939,25, Private,165622, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+10940,29, Private,101597, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K
+10941,53, Private,146378, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10942,63, Local-gov,152163, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+10943,26, State-gov,106812, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+10944,21, Private,148211, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,3674,0,50, United-States, <=50K
+10945,45, Private,187581, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+10946,29, Private,135296, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+10947,72, Local-gov,144515, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1258,40, United-States, <=50K
+10948,51, Private,210736, 10th,6, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+10949,21, Private,210165, 9th,5, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+10950,38, Private,224584, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+10951,38, Private,80771, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+10952,46, Private,164733, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, <=50K
+10953,31, Self-emp-not-inc,119411, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K
+10954,68, Local-gov,177596, 10th,6, Separated, Other-service, Not-in-family, Black, Female,0,0,90, United-States, <=50K
+10955,43, ?,396116, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+10956,21, Private,185251, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+10957,44, Private,173590, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,3, United-States, <=50K
+10958,56, Federal-gov,196307, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10959,20, ?,293091, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K
+10960,36, Private,175232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+10961,21, Private,51047, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+10962,21, Private,334618, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Female,99999,0,40, United-States, >50K
+10963,52, Local-gov,152795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10964,56, Self-emp-inc,205601, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K
+10965,52, Private,129177, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,2824,20, United-States, >50K
+10966,51, Self-emp-not-inc,121548, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K
+10967,29, Private,244566, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+10968,36, Private,75073, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,55, United-States, <=50K
+10969,29, Private,179008, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+10970,21, Private,170800, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+10971,58, Private,373344, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+10972,37, Private,127961, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10973,50, Private,99392, Some-college,10, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+10974,30, Private,392812, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, Germany, <=50K
+10975,29, Private,262478, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K
+10976,48, Self-emp-not-inc,32825, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+10977,50, Self-emp-not-inc,167380, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+10978,39, Private,203204, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K
+10979,35, Federal-gov,105138, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+10980,54, Private,145714, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,25, United-States, >50K
+10981,24, Private,182276, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K
+10982,20, Private,275385, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K
+10983,30, Self-emp-not-inc,292472, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,55, United-States, >50K
+10984,19, Self-emp-not-inc,73514, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K
+10985,26, Private,199600, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+10986,38, Private,111499, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,99, United-States, >50K
+10987,25, Private,202560, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10988,33, Private,99309, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+10989,60, Local-gov,124987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+10990,30, Private,287986, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10991,30, Private,119411, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10992,19, Private,198668, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+10993,23, Private,117583, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+10994,27, Private,234664, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+10995,20, ?,114357, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+10996,39, State-gov,176949, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K
+10997,33, Private,189710, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K
+10998,65, Private,205309, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, <=50K
+10999,34, Private,195576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+11000,20, Private,216825, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, Mexico, <=50K
+11001,23, ?,329174, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11002,25, Private,197036, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11003,28, Private,181291, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1564,50, United-States, >50K
+11004,31, Private,206512, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+11005,28, State-gov,38309, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,6849,0,40, United-States, <=50K
+11006,37, Private,312766, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11007,52, Private,139671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+11008,66, Federal-gov,38621, Assoc-voc,11, Widowed, Other-service, Unmarried, Black, Female,3273,0,40, United-States, <=50K
+11009,31, Private,124827, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11010,37, Private,77820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+11011,45, Federal-gov,56904, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,45, United-States, <=50K
+11012,45, Private,190115, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+11013,44, Private,106682, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+11014,32, Local-gov,42596, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11015,35, Private,143058, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K
+11016,53, Private,102615, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, Canada, <=50K
+11017,54, Private,139703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, Germany, >50K
+11018,43, Private,240124, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11019,30, Private,132565, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+11020,49, Private,323798, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,3325,0,50, United-States, <=50K
+11021,52, Private,96359, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K
+11022,20, Private,165201, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,4, United-States, <=50K
+11023,60, Federal-gov,165630, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K
+11024,45, Private,264526, Assoc-acdm,12, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+11025,48, Private,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+11026,28, Private,37359, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+11027,61, ?,232618, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+11028,48, Local-gov,115497, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11029,32, Private,157747, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+11030,27, Self-emp-not-inc,41099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+11031,38, Private,472604, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K
+11032,33, Private,348618, 5th-6th,3, Married-spouse-absent, Transport-moving, Unmarried, Other, Male,0,0,20, El-Salvador, <=50K
+11033,43, Private,135606, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+11034,36, Private,248445, HS-grad,9, Separated, Transport-moving, Other-relative, White, Male,0,0,60, Mexico, <=50K
+11035,38, Private,112093, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11036,24, Local-gov,197552, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11037,22, Private,303822, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11038,30, Private,288566, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11039,55, ?,487411, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+11040,46, Self-emp-not-inc,43348, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+11041,39, State-gov,239409, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+11042,50, Private,337606, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1485,40, United-States, <=50K
+11043,34, Private,32528, Assoc-voc,11, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,974,40, United-States, <=50K
+11044,47, State-gov,118447, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+11045,46, Private,234690, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+11046,23, ?,141003, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+11047,43, Private,216042, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,1617,72, United-States, <=50K
+11048,45, Private,190482, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+11049,55, Private,381965, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+11050,68, Private,186943, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K
+11051,39, Private,142707, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+11052,39, Private,53447, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11053,37, Private,127772, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11054,19, Private,344414, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+11055,20, Private,194138, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+11056,49, ?,558183, Assoc-voc,11, Married-spouse-absent, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+11057,33, Private,150154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11058,21, Private,306114, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+11059,72, ?,177121, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K
+11060,58, Local-gov,368797, Masters,14, Widowed, Prof-specialty, Unmarried, White, Male,0,0,35, United-States, >50K
+11061,43, Self-emp-inc,175715, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, <=50K
+11062,62, Private,416829, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,21, United-States, <=50K
+11063,21, Private,350001, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+11064,26, Private,339952, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+11065,27, Private,114967, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11066,34, Private,164190, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,38, United-States, >50K
+11067,49, Local-gov,166039, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+11068,28, Private,250135, HS-grad,9, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+11069,34, Self-emp-not-inc,234960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1887,48, United-States, >50K
+11070,29, Private,103628, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+11071,58, Private,430005, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+11072,45, Self-emp-inc,106517, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11073,47, Self-emp-not-inc,162236, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11074,53, Private,92430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11075,52, Local-gov,40641, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+11076,47, Private,169388, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K
+11077,36, Local-gov,410034, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+11078,48, Private,237525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,65, United-States, >50K
+11079,35, Private,150057, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11080,49, Private,148549, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+11081,43, Private,75742, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+11082,33, Private,177675, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K
+11083,49, Local-gov,193249, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11084,17, Private,266072, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,20, El-Salvador, <=50K
+11085,28, ?,80165, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+11086,25, Private,339324, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11087,69, ?,111238, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+11088,41, Self-emp-not-inc,284086, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11089,31, Private,206051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+11090,57, Private,426263, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K
+11091,49, Private,102583, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,44, United-States, >50K
+11092,40, Private,277647, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11093,55, Private,124808, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, Germany, >50K
+11094,47, Private,193061, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11095,50, Private,121411, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11096,36, Private,89202, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K
+11097,17, Private,232900, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+11098,30, Local-gov,319280, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+11099,79, ?,165209, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+11100,42, Private,193494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+11101,67, Self-emp-not-inc,195066, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+11102,36, Private,99146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+11103,35, Private,92028, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+11104,27, Private,174419, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11105,21, Private,57916, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+11106,46, Private,383384, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+11107,45, Private,198223, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K
+11108,20, Private,109813, 11th,7, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K
+11109,17, Private,174298, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+11110,40, Private,45687, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,4787,0,50, United-States, >50K
+11111,28, Private,263614, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11112,33, Private,96128, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11113,55, Private,220262, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11114,55, Self-emp-not-inc,35340, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+11115,47, Private,280483, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11116,52, Self-emp-inc,254211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+11117,29, Private,351324, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+11118,36, Private,58602, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+11119,37, Private,64922, Bachelors,13, Separated, Other-service, Not-in-family, White, Male,0,0,70, England, <=50K
+11120,41, Federal-gov,185616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K
+11121,43, Private,185832, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+11122,24, Private,254767, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,50, United-States, <=50K
+11123,39, Federal-gov,32312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+11124,47, Self-emp-not-inc,109421, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+11125,42, Private,183205, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+11126,39, Private,156897, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,2258,42, United-States, >50K
+11127,48, Local-gov,145886, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K
+11128,47, Local-gov,29819, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,50, United-States, >50K
+11129,27, Private,244566, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+11130,29, Private,253801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K
+11131,22, Private,181313, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+11132,37, State-gov,150566, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+11133,38, Private,237713, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+11134,32, Private,112137, Preschool,1, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,4508,0,40, Cambodia, <=50K
+11135,48, Local-gov,187969, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K
+11136,46, Self-emp-not-inc,224108, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K
+11137,51, Private,174754, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+11138,28, Self-emp-inc,219705, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,55, United-States, <=50K
+11139,35, Private,167062, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11140,18, Private,190325, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+11141,45, Private,108859, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11142,36, Self-emp-not-inc,344351, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+11143,73, Private,153127, Some-college,10, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,10, United-States, <=50K
+11144,52, Private,180881, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11145,17, Private,183066, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+11146,29, Federal-gov,339002, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11147,31, Private,185480, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, ?, >50K
+11148,20, Private,172047, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K
+11149,42, Private,94600, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+11150,37, Private,302604, Some-college,10, Separated, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+11151,40, Private,248094, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11152,32, Private,36467, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+11153,29, Private,53181, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+11154,20, Private,181032, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+11155,26, Private,248990, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+11156,25, Private,40512, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,3674,0,30, United-States, <=50K
+11157,37, Private,117381, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,80, United-States, >50K
+11158,18, ?,173125, 12th,8, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K
+11159,33, ?,316663, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,50, United-States, <=50K
+11160,26, Private,154966, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+11161,24, Private,198259, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+11162,33, Private,167939, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+11163,23, Private,131275, HS-grad,9, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+11164,20, ?,236523, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+11165,36, Private,272950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+11166,37, Private,174503, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11167,24, Private,116800, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K
+11168,38, Private,110713, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+11169,50, Private,202044, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+11170,44, Private,300528, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+11171,46, Private,54985, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K
+11172,57, Private,133126, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+11173,37, Private,74593, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+11174,44, Private,302424, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K
+11175,21, Private,344492, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+11176,31, Private,349148, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11177,32, Private,222221, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,42, United-States, >50K
+11178,45, Private,234699, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,60, United-States, >50K
+11179,20, Local-gov,243178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+11180,52, Private,189728, HS-grad,9, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11181,47, Self-emp-not-inc,318593, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K
+11182,41, Private,108681, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+11183,40, Private,187376, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+11184,41, State-gov,75409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+11185,46, Private,172581, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+11186,49, Private,266150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+11187,65, Private,271092, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, ?, <=50K
+11188,50, Private,135643, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, <=50K
+11189,59, Private,46466, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+11190,18, Private,130652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+11191,47, Local-gov,114459, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+11192,47, ?,109832, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,5178,0,30, Canada, >50K
+11193,45, Private,195554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+11194,17, Private,244589, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+11195,45, Self-emp-inc,271901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, >50K
+11196,73, Private,139978, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+11197,48, Private,180446, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+11198,64, ?,178724, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+11199,38, State-gov,341643, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11200,37, Federal-gov,289653, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+11201,62, Self-emp-inc,118725, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051,0,72, United-States, >50K
+11202,26, Private,187891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11203,46, Self-emp-inc,116338, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+11204,46, Private,102771, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K
+11205,51, Private,89652, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,4787,0,24, United-States, >50K
+11206,54, Federal-gov,439608, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11207,65, Private,330144, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11208,29, Private,251905, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+11209,37, Private,218955, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11210,36, Self-emp-not-inc,188972, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,10, Canada, <=50K
+11211,60, Self-emp-not-inc,25825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+11212,33, Private,202046, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,2001,40, United-States, <=50K
+11213,62, Private,116104, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Germany, <=50K
+11214,20, Private,194891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11215,37, Private,125550, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,14084,0,35, United-States, >50K
+11216,66, Private,116468, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,2936,0,20, United-States, <=50K
+11217,32, ?,285131, Assoc-acdm,12, Never-married, ?, Unmarried, White, Male,0,0,20, United-States, <=50K
+11218,29, State-gov,409201, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11219,70, Self-emp-inc,379819, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,10566,0,40, United-States, <=50K
+11220,74, Private,97167, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K
+11221,37, Local-gov,244803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+11222,51, Self-emp-not-inc,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11223,50, Private,118058, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+11224,42, Private,258589, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+11225,26, Private,158810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K
+11226,27, Local-gov,92431, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,2231,40, United-States, >50K
+11227,58, Self-emp-not-inc,165695, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K
+11228,30, ?,97281, Some-college,10, Separated, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11229,32, Private,244147, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,50, United-States, <=50K
+11230,66, Self-emp-inc,253741, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1825,10, United-States, >50K
+11231,23, Private,170482, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+11232,35, Private,241001, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K
+11233,50, Private,165001, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+11234,17, ?,297117, 11th,7, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+11235,35, Private,340260, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K
+11236,31, Private,96480, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11237,30, Private,185177, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,49, United-States, <=50K
+11238,84, Self-emp-inc,172907, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+11239,35, Self-emp-not-inc,308874, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11240,45, Self-emp-not-inc,54098, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+11241,46, Private,288608, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11242,50, Local-gov,254148, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+11243,37, Private,111128, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11244,32, Private,171116, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+11245,53, Self-emp-inc,96062, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,48, United-States, >50K
+11246,27, Federal-gov,276776, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+11247,22, Private,152878, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11248,29, Private,149211, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+11249,35, Private,58343, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+11250,38, Private,127601, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,35, United-States, <=50K
+11251,29, Private,357781, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+11252,26, Private,137367, Some-college,10, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,44, Philippines, <=50K
+11253,34, Private,110978, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+11254,31, Private,34503, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11255,30, Private,84119, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K
+11256,20, Private,223515, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+11257,37, Private,372525, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, <=50K
+11258,32, Private,116365, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+11259,36, Private,111268, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+11260,54, Private,225599, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,40, India, >50K
+11261,78, ?,83511, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Portugal, <=50K
+11262,46, Self-emp-not-inc,199596, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+11263,18, Private,301867, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+11264,57, Private,191983, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+11265,37, Private,105803, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+11266,43, Private,456236, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11267,45, Private,116255, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+11268,32, Private,235109, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11269,38, Federal-gov,91716, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11270,25, Private,121102, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,2001,30, United-States, <=50K
+11271,70, Private,235781, Some-college,10, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+11272,40, Private,136986, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+11273,40, Self-emp-not-inc,33658, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11274,20, Private,53878, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+11275,29, Private,200928, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11276,24, Private,173736, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+11277,28, Private,214385, Assoc-voc,11, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+11278,58, Private,102509, 10th,6, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+11279,38, Private,173047, Bachelors,13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,213,40, Philippines, <=50K
+11280,59, Self-emp-not-inc,241297, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,6849,0,40, United-States, <=50K
+11281,18, Private,329054, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+11282,40, Private,274158, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+11283,39, Self-emp-inc,241153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+11284,35, Private,200117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1887,50, ?, >50K
+11285,45, Private,229516, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,72, Mexico, <=50K
+11286,62, ?,250091, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K
+11287,24, State-gov,247075, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K
+11288,22, Private,315524, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,30, Dominican-Republic, <=50K
+11289,23, Private,126945, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11290,39, Self-emp-not-inc,29874, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K
+11291,28, Private,115579, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K
+11292,51, Private,29580, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,4386,0,30, United-States, >50K
+11293,44, Private,56483, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K
+11294,73, ?,89852, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Portugal, <=50K
+11295,24, Private,420779, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,35, United-States, <=50K
+11296,24, Private,255474, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+11297,52, Private,241444, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,50, Puerto-Rico, <=50K
+11298,43, Private,85995, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11299,67, Self-emp-inc,116986, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+11300,31, Private,217962, 12th,8, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, ?, <=50K
+11301,36, Private,20507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K
+11302,43, Private,184099, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11303,31, Private,117816, 7th-8th,4, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,70, United-States, <=50K
+11304,23, Private,263899, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, Haiti, <=50K
+11305,26, Private,45869, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+11306,48, Private,186539, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+11307,40, Private,326310, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+11308,55, Local-gov,84564, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K
+11309,49, Private,247294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+11310,34, Private,72793, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+11311,29, Private,261375, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,60, United-States, <=50K
+11312,50, Private,77905, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K
+11313,19, Private,66838, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,9, United-States, <=50K
+11314,63, State-gov,194682, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+11315,66, Private,180211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K
+11316,65, ?,79272, Some-college,10, Widowed, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,6, United-States, <=50K
+11317,60, Private,101198, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+11318,60, Private,80574, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+11319,19, Private,198663, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+11320,26, Self-emp-inc,160340, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+11321,75, Self-emp-not-inc,205860, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1735,40, United-States, <=50K
+11322,58, State-gov,69579, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+11323,18, Self-emp-not-inc,379242, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11324,65, Private,113323, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,40, United-States, <=50K
+11325,50, Self-emp-not-inc,312477, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+11326,26, Private,259505, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+11327,45, Federal-gov,171335, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+11328,19, ?,541282, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+11329,29, Federal-gov,155970, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+11330,52, Private,99682, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,52, Canada, >50K
+11331,23, Private,117789, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+11332,21, Private,296158, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+11333,48, Local-gov,78859, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+11334,59, ?,188070, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K
+11335,50, Private,189811, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11336,41, State-gov,518030, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,1590,40, Puerto-Rico, <=50K
+11337,32, Private,360593, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K
+11338,40, Private,145504, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+11339,19, Private,459248, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+11340,30, ?,288419, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K
+11341,42, State-gov,126094, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Male,0,0,39, United-States, <=50K
+11342,23, Private,209483, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K
+11343,37, Self-emp-not-inc,32239, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,27828,0,40, United-States, >50K
+11344,21, Private,210355, 11th,7, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,24, United-States, <=50K
+11345,28, Private,84547, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+11346,50, ?,260579, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+11347,20, Private,105585, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+11348,21, Private,132320, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+11349,21, Private,129172, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,16, United-States, <=50K
+11350,45, Self-emp-not-inc,222374, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11351,49, Self-emp-inc,201498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11352,53, Self-emp-inc,251675, Some-college,10, Divorced, Sales, Not-in-family, White, Male,8614,0,50, Cuba, >50K
+11353,41, Private,114157, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+11354,48, Local-gov,148121, Bachelors,13, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+11355,73, ?,84053, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+11356,34, Private,96480, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+11357,24, Private,179423, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+11358,58, State-gov,123329, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K
+11359,41, Private,134130, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+11360,53, Private,188644, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+11361,40, Private,226388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+11362,28, Self-emp-not-inc,209205, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+11363,32, Private,209808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,47, United-States, <=50K
+11364,44, Self-emp-inc,56236, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,2202,0,45, United-States, <=50K
+11365,18, Private,28648, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+11366,37, State-gov,34996, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+11367,43, Private,281422, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+11368,22, Private,214716, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+11369,28, Private,314177, 10th,6, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+11370,51, Private,112310, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+11371,63, Private,203783, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,72, United-States, <=50K
+11372,29, Private,205499, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K
+11373,44, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,48, United-States, >50K
+11374,44, Private,155701, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,38, Peru, <=50K
+11375,37, State-gov,186934, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11376,62, Federal-gov,209433, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+11377,31, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K
+11378,20, Private,102607, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+11379,48, Private,254809, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,1594,32, United-States, <=50K
+11380,24, Self-emp-not-inc,102942, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11381,56, State-gov,175057, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11382,36, Federal-gov,68781, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+11383,29, Private,108594, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11384,34, Private,98283, Prof-school,15, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,1564,40, India, >50K
+11385,39, Private,56269, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+11386,29, Private,152503, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+11387,38, Self-emp-inc,206951, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K
+11388,23, Private,82393, 9th,5, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K
+11389,37, Private,167396, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K
+11390,30, Self-emp-not-inc,123397, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+11391,58, ?,147653, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,36, United-States, <=50K
+11392,42, Private,118652, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+11393,59, Local-gov,114401, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,1504,19, United-States, <=50K
+11394,45, Private,186272, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298,0,40, United-States, >50K
+11395,46, Private,182689, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+11396,25, Private,231016, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,37, United-States, <=50K
+11397,41, Self-emp-inc,60949, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+11398,49, Private,129513, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+11399,37, Private,84306, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11400,31, Private,117507, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+11401,22, Private,88050, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,6, United-States, <=50K
+11402,22, Private,305498, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,33, United-States, <=50K
+11403,17, Private,295308, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,20, United-States, <=50K
+11404,47, Private,114459, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+11405,17, Private,176017, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K
+11406,39, Private,248445, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+11407,23, Private,214542, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+11408,41, Private,384508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11409,36, Federal-gov,403489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+11410,52, Private,143953, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+11411,21, Private,254904, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K
+11412,33, Private,98995, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,36, United-States, <=50K
+11413,17, ?,237078, 11th,7, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+11414,41, Private,193995, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+11415,19, Private,205829, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+11416,38, Federal-gov,205852, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, >50K
+11417,24, Private,37072, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11418,38, Private,275338, Bachelors,13, Divorced, Sales, Unmarried, White, Female,1151,0,40, United-States, <=50K
+11419,39, State-gov,122353, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+11420,19, Private,100009, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+11421,31, ?,37030, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+11422,42, Private,135056, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+11423,36, Private,135162, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, ?, <=50K
+11424,29, Private,280618, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+11425,17, Private,226717, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+11426,47, Local-gov,173938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+11427,24, Private,291355, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+11428,61, Federal-gov,160155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11429,40, Self-emp-not-inc,29762, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+11430,31, ?,82473, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+11431,59, Private,172071, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,38, Jamaica, <=50K
+11432,29, Private,166210, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K
+11433,26, Private,330263, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11434,46, Private,247043, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+11435,56, Federal-gov,155238, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+11436,25, Private,130557, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11437,17, Private,56986, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K
+11438,29, Private,220692, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+11439,23, Private,121650, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K
+11440,67, Private,174603, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+11441,29, Private,341846, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11442,33, Private,99339, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,880,40, United-States, <=50K
+11443,32, Private,34437, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+11444,34, Private,141058, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,62, Mexico, <=50K
+11445,49, Private,192323, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+11446,54, Self-emp-not-inc,117674, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+11447,39, Private,28572, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11448,41, Private,120277, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11449,31, Private,164309, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+11450,47, Federal-gov,102771, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11451,27, Private,147951, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,1, United-States, <=50K
+11452,23, Private,188409, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,25, United-States, <=50K
+11453,44, Private,173888, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K
+11454,25, Private,247006, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+11455,23, Private,82889, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+11456,52, Private,259363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+11457,62, Federal-gov,159165, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K
+11458,31, Private,112062, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11459,19, Private,299050, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+11460,22, ?,186452, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K
+11461,53, Private,548580, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K
+11462,25, Private,234057, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11463,45, Private,241350, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11464,69, Private,108196, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,2993,0,40, United-States, <=50K
+11465,49, Private,278322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11466,42, Private,157443, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,27, Taiwan, >50K
+11467,44, Self-emp-not-inc,37618, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+11468,56, Local-gov,238582, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, >50K
+11469,37, State-gov,28887, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+11470,37, Private,77820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+11471,22, Private,110946, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11472,34, Local-gov,230420, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11473,36, Private,206521, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11474,54, ?,156877, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K
+11475,28, Local-gov,283227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K
+11476,28, Private,141957, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+11477,36, Private,58337, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,35, ?, <=50K
+11478,73, Local-gov,161027, 5th-6th,3, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K
+11479,37, Self-emp-not-inc,31670, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+11480,24, Private,205844, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,65, United-States, <=50K
+11481,30, State-gov,46144, HS-grad,9, Married-AF-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+11482,38, Private,168055, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11483,50, Private,98350, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+11484,69, ?,182668, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K
+11485,43, Private,208613, Prof-school,15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,99999,0,40, United-States, >50K
+11486,42, Private,334522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+11487,54, State-gov,187686, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+11488,27, State-gov,365916, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,58, United-States, <=50K
+11489,39, Private,190719, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+11490,27, Private,218184, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+11491,30, Private,222162, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,66, United-States, <=50K
+11492,30, Private,148524, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2057,40, United-States, <=50K
+11493,37, Private,267085, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11494,50, Federal-gov,307555, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+11495,36, Private,229180, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Cuba, <=50K
+11496,22, Private,279041, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,10, United-States, <=50K
+11497,21, Private,312017, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11498,33, Private,54782, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1579,42, United-States, <=50K
+11499,76, Private,70697, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+11500,22, ?,263970, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K
+11501,37, Private,188774, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11502,34, Private,302770, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+11503,29, Private,183639, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,97, United-States, <=50K
+11504,29, Private,178551, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11505,28, Private,175343, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+11506,73, Self-emp-not-inc,190078, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+11507,43, Private,117627, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+11508,39, Private,108419, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11509,74, Private,183701, 10th,6, Widowed, Other-service, Not-in-family, Black, Female,0,0,6, United-States, <=50K
+11510,27, State-gov,208406, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+11511,47, Private,148884, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+11512,90, Private,87285, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+11513,47, Private,199058, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+11514,42, Private,173628, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11515,69, Private,370837, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11516,18, ?,179484, 12th,8, Never-married, ?, Own-child, Other, Male,0,0,40, United-States, <=50K
+11517,23, Private,342769, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K
+11518,44, Local-gov,65145, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+11519,41, Private,150533, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2829,0,40, United-States, <=50K
+11520,47, Local-gov,272182, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11521,43, Private,403467, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,40, United-States, >50K
+11522,33, Private,252168, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11523,48, Private,80430, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+11524,39, Private,189623, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K
+11525,43, Private,115806, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,2547,40, United-States, >50K
+11526,18, ?,28357, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+11527,52, Private,226084, HS-grad,9, Widowed, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K
+11528,18, Private,150817, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+11529,27, Self-emp-inc,190911, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+11530,27, Self-emp-inc,120126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K
+11531,45, Local-gov,255559, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11532,79, ?,142370, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+11533,24, Private,173679, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+11534,25, Private,35854, Some-college,10, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+11535,42, Self-emp-not-inc,82161, 10th,6, Widowed, Transport-moving, Unmarried, White, Male,0,0,35, United-States, <=50K
+11536,63, Self-emp-not-inc,129845, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11537,40, Private,226505, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,46, United-States, >50K
+11538,47, Private,151584, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K
+11539,42, Private,136419, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+11540,42, Private,66460, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+11541,63, Local-gov,379940, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11542,37, Local-gov,102936, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K
+11543,65, Private,205309, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K
+11544,30, ?,156890, 10th,6, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+11545,62, Private,208711, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K
+11546,46, Private,137547, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+11547,23, Private,220168, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,25, Jamaica, <=50K
+11548,47, Local-gov,37672, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K
+11549,20, Private,196643, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+11550,21, ?,355686, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+11551,28, Private,197484, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+11552,61, Local-gov,115023, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11553,30, State-gov,234824, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,72, United-States, <=50K
+11554,30, State-gov,361497, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K
+11555,29, Private,351871, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+11556,39, Private,324231, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11557,23, Private,123490, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+11558,32, Private,188245, 11th,7, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11559,63, Private,50349, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K
+11560,19, Self-emp-not-inc,47176, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,15, United-States, <=50K
+11561,57, State-gov,290661, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+11562,41, Private,221172, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11563,23, Private,188950, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+11564,30, Private,356882, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+11565,43, Self-emp-inc,150533, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+11566,64, Self-emp-not-inc,167149, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K
+11567,56, Private,301835, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11568,32, Private,313729, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11569,55, Private,130957, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+11570,17, Private,197732, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+11571,17, Private,250541, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+11572,29, Private,218785, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,65, United-States, <=50K
+11573,23, ?,232512, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+11574,37, Private,194630, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+11575,39, Private,38721, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,22, United-States, <=50K
+11576,36, Private,201519, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+11577,50, Private,279337, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+11578,41, ?,27187, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,2415,12, United-States, >50K
+11579,31, Private,87560, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11580,71, ?,100820, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2489,15, United-States, <=50K
+11581,56, Private,208431, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,32, United-States, <=50K
+11582,51, Private,143822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+11583,20, Private,163205, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+11584,53, Private,171924, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14344,0,55, United-States, >50K
+11585,33, State-gov,137616, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+11586,27, Private,156516, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,2377,20, United-States, <=50K
+11587,40, Private,119101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+11588,45, Private,117556, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,32, United-States, <=50K
+11589,54, Private,147863, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,5013,0,40, Vietnam, <=50K
+11590,33, Self-emp-not-inc,24504, HS-grad,9, Separated, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K
+11591,27, ?,157624, HS-grad,9, Separated, ?, Other-relative, White, Female,0,0,40, United-States, <=50K
+11592,36, Private,181721, 10th,6, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K
+11593,42, Local-gov,55363, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+11594,33, Private,92865, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+11595,19, Private,258633, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, ?, <=50K
+11596,52, Federal-gov,221532, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+11597,41, Local-gov,183224, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Taiwan, >50K
+11598,30, Private,381153, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11599,22, Private,300871, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+11600,47, Private,33710, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K
+11601,26, Private,158333, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+11602,36, Private,288103, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11603,35, Private,108907, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+11604,46, Private,358533, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+11605,24, Private,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K
+11606,30, Private,164190, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,52, United-States, >50K
+11607,38, Private,199816, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+11608,50, Private,98228, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+11609,41, Local-gov,129060, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11610,38, Private,22245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+11611,36, Private,226918, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,48, United-States, <=50K
+11612,47, Private,398652, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+11613,59, Private,268840, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,16, United-States, >50K
+11614,35, ?,103710, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,16, ?, <=50K
+11615,59, Private,91384, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+11616,52, Private,174767, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+11617,37, Self-emp-inc,126675, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+11618,52, Private,82285, Bachelors,13, Married-spouse-absent, Other-service, Other-relative, Black, Female,0,0,40, Haiti, <=50K
+11619,51, Private,177727, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+11620,67, Self-emp-not-inc,345236, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+11621,58, ?,347692, 11th,7, Divorced, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K
+11622,68, Private,156000, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+11623,71, Private,228806, 9th,5, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,6, United-States, <=50K
+11624,49, Local-gov,184428, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11625,35, Local-gov,102938, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11626,18, Private,161063, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+11627,29, Private,253752, 10th,6, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K
+11628,47, Self-emp-not-inc,274800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+11629,31, Private,129804, 9th,5, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+11630,22, Federal-gov,65547, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11631,20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K
+11632,57, Private,161097, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,26, United-States, <=50K
+11633,18, Private,118376, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+11634,32, Private,131224, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+11635,39, Private,120985, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+11636,37, Private,215392, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11637,51, Private,63685, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Cambodia, <=50K
+11638,48, Private,131826, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+11639,39, Private,211440, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K
+11640,35, Private,31023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+11641,40, Private,145439, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Other, Male,4064,0,40, Mexico, <=50K
+11642,19, Private,255161, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+11643,28, Private,411950, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11644,23, Private,275818, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,1974,40, United-States, <=50K
+11645,18, Private,318082, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+11646,23, Local-gov,287988, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11647,47, Local-gov,138342, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, El-Salvador, <=50K
+11648,42, Federal-gov,115932, Bachelors,13, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+11649,25, Private,60358, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+11650,17, Private,140117, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+11651,34, Private,158040, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+11652,30, Self-emp-inc,321990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, ?, >50K
+11653,29, Private,232784, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+11654,22, Private,349368, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+11655,46, Federal-gov,325573, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11656,69, Private,140176, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K
+11657,50, Private,128478, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+11658,19, ?,318264, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+11659,59, Private,147989, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K
+11660,45, Federal-gov,155659, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11661,41, State-gov,288433, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+11662,47, Federal-gov,329205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+11663,64, Private,171373, 11th,7, Widowed, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K
+11664,29, Private,228860, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+11665,29, Private,196116, Prof-school,15, Divorced, Prof-specialty, Own-child, White, Female,2174,0,72, United-States, <=50K
+11666,17, Private,47771, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+11667,24, Private,201680, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K
+11668,28, Private,337378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11669,35, Private,246449, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,3325,0,50, United-States, <=50K
+11670,48, Private,227714, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+11671,36, Private,177285, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,38, United-States, <=50K
+11672,38, Private,71701, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, Portugal, <=50K
+11673,49, Private,30219, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1669,40, United-States, <=50K
+11674,42, Private,280167, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11675,36, Self-emp-inc,27408, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+11676,25, Private,167031, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K
+11677,41, Private,173682, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+11678,35, Self-emp-not-inc,278557, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+11679,32, Private,113688, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11680,41, Self-emp-not-inc,252986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11681,48, Private,33669, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+11682,56, Private,100776, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+11683,47, Self-emp-not-inc,177457, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+11684,30, State-gov,312767, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11685,51, Private,43354, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11686,22, Self-emp-inc,375422, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, South, <=50K
+11687,49, Self-emp-not-inc,263568, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+11688,67, ?,74335, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,10, Germany, <=50K
+11689,26, Private,302097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,48, United-States, <=50K
+11690,35, Private,248010, Bachelors,13, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+11691,37, ?,87369, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+11692,34, Private,405577, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11693,51, State-gov,167065, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11694,26, Private,102476, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11695,28, Federal-gov,526528, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,3887,0,40, United-States, <=50K
+11696,32, Private,175878, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+11697,55, Private,213894, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11698,17, Private,150262, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+11699,40, Private,75363, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+11700,38, Private,272671, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+11701,67, Self-emp-inc,411007, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,15831,0,40, United-States, >50K
+11702,44, Private,222434, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+11703,26, Private,180246, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+11704,25, Private,171236, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+11705,45, Private,367037, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11706,38, Private,304651, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+11707,62, Private,97017, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+11708,20, Private,146879, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,2001,40, United-States, <=50K
+11709,45, State-gov,320818, Some-college,10, Married-spouse-absent, Other-service, Other-relative, Black, Male,0,0,40, Haiti, <=50K
+11710,47, Self-emp-not-inc,84735, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+11711,49, Private,184428, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11712,36, Private,326886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11713,24, ?,169624, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,37, United-States, <=50K
+11714,29, Private,212102, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+11715,23, Private,175837, 11th,7, Never-married, Farming-fishing, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K
+11716,50, Private,177487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11717,44, Private,286750, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K
+11718,44, Private,171424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11719,32, Private,194981, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,36, United-States, <=50K
+11720,73, Private,199362, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+11721,24, Private,204226, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11722,46, State-gov,72506, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K
+11723,61, Self-emp-inc,61040, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,36, United-States, >50K
+11724,37, Federal-gov,194630, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+11725,29, Private,391867, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11726,40, Private,94080, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11727,17, Private,289405, 11th,7, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,12, United-States, <=50K
+11728,30, Private,170130, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11729,19, Private,158118, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1719,40, United-States, <=50K
+11730,30, Private,447739, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11731,90, ?,39824, HS-grad,9, Widowed, ?, Not-in-family, White, Male,401,0,4, United-States, <=50K
+11732,76, ?,312500, 5th-6th,3, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+11733,47, Private,223342, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1504,35, United-States, <=50K
+11734,65, ?,293385, Preschool,1, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K
+11735,25, Private,106377, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+11736,41, Private,66118, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+11737,47, Private,274883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11738,27, Local-gov,123773, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11739,42, Local-gov,70655, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+11740,49, Private,177426, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+11741,37, Private,200374, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+11742,19, State-gov,159269, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K
+11743,24, Private,235894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+11744,34, Local-gov,97723, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11745,33, Private,167309, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11746,44, Self-emp-not-inc,98106, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11747,37, Federal-gov,22201, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K
+11748,45, Private,108993, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11749,35, Private,265954, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+11750,58, Self-emp-inc,100960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+11751,45, Private,170092, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11752,54, Private,326156, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11753,45, Private,216932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11754,69, Private,36956, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,50, United-States, >50K
+11755,24, Private,214014, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+11756,36, Private,99872, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+11757,61, State-gov,151459, 10th,6, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+11758,57, Self-emp-inc,161662, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K
+11759,56, Private,367200, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+11760,35, Private,86648, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K
+11761,51, Local-gov,168539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+11762,50, Private,140741, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+11763,25, Private,197651, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,43, United-States, <=50K
+11764,46, Private,123053, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K
+11765,23, Private,330571, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+11766,44, Private,204235, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11767,38, State-gov,346766, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11768,35, ?,257250, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+11769,25, Private,163396, Some-college,10, Never-married, Tech-support, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+11770,78, ?,135839, HS-grad,9, Widowed, ?, Not-in-family, White, Female,1086,0,20, United-States, <=50K
+11771,18, Private,36251, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+11772,40, Private,149102, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,2174,0,60, Poland, <=50K
+11773,61, ?,222395, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+11774,31, State-gov,29152, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+11775,33, Private,79303, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+11776,35, Private,272338, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+11777,55, State-gov,200497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+11778,19, Private,148392, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+11779,31, Private,164243, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K
+11780,43, State-gov,129298, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11781,49, Local-gov,174981, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,47, United-States, >50K
+11782,48, Local-gov,328610, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+11783,27, Private,77774, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,34, United-States, <=50K
+11784,38, State-gov,134069, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+11785,35, Private,209214, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,35, United-States, >50K
+11786,29, Private,153805, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Ecuador, <=50K
+11787,27, Private,168827, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,2, United-States, <=50K
+11788,31, Private,373432, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+11789,26, Private,57600, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+11790,53, Self-emp-not-inc,302847, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+11791,23, Private,227594, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+11792,32, Federal-gov,44777, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,46, United-States, <=50K
+11793,54, ?,133963, HS-grad,9, Widowed, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+11794,36, Private,279615, Bachelors,13, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+11795,22, Private,276133, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+11796,62, Private,136314, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+11797,41, Private,204410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,44, United-States, >50K
+11798,59, Self-emp-inc,223215, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+11799,43, Private,184625, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+11800,34, Self-emp-inc,265917, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11801,27, Private,158647, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11802,35, Private,22055, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+11803,41, Local-gov,176716, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+11804,42, Private,270721, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,32, United-States, <=50K
+11805,24, Private,100321, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K
+11806,35, Private,79050, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,72, United-States, <=50K
+11807,40, Local-gov,42703, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+11808,46, Private,116952, 7th-8th,4, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K
+11809,45, Private,331643, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11810,33, Private,207937, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1092,40, United-States, <=50K
+11811,68, Private,223486, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,7, England, <=50K
+11812,33, Private,340332, Bachelors,13, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+11813,23, Private,184813, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+11814,42, Self-emp-not-inc,32185, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+11815,30, Private,197886, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K
+11816,35, State-gov,248374, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11817,40, Private,382499, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+11818,36, State-gov,108320, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,5455,0,30, United-States, <=50K
+11819,46, Self-emp-inc,161386, 9th,5, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K
+11820,49, Local-gov,110172, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11821,41, Private,144032, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+11822,26, Private,224426, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,38, United-States, <=50K
+11823,37, Private,230408, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+11824,50, Local-gov,20795, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+11825,20, Private,174714, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+11826,59, State-gov,398626, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,45, United-States, >50K
+11827,30, Private,149531, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+11828,23, Private,34113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+11829,44, Local-gov,323790, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+11830,28, Private,331381, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11831,48, Private,160647, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Ireland, >50K
+11832,34, Private,339142, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+11833,58, Private,164857, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K
+11834,33, Local-gov,267859, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+11835,38, Private,167725, Bachelors,13, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0,0,84, India, <=50K
+11836,49, Federal-gov,586657, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+11837,67, Self-emp-not-inc,105907, 1st-4th,2, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+11838,23, Private,200677, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11839,42, Private,193882, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11840,54, Private,138026, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+11841,49, Private,122385, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+11842,35, Private,49020, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+11843,26, Private,283715, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+11844,31, Private,286406, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+11845,36, Private,166416, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+11846,25, Private,156334, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+11847,35, Local-gov,45607, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+11848,40, Local-gov,112362, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+11849,52, Private,200419, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+11850,42, State-gov,341638, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11851,25, ?,34161, 12th,8, Separated, ?, Unmarried, White, Female,0,0,30, United-States, <=50K
+11852,50, Self-emp-not-inc,127151, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Canada, >50K
+11853,52, Private,321959, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K
+11854,51, Local-gov,35211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+11855,19, Private,214935, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+11856,43, Private,132130, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+11857,57, Private,222247, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+11858,35, Private,165799, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11859,30, Private,257874, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+11860,38, Private,357173, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11861,45, State-gov,305739, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11862,23, Private,172047, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+11863,22, Private,110677, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+11864,21, ?,405684, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,35, Mexico, <=50K
+11865,60, Private,82388, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K
+11866,45, Private,289230, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, >50K
+11867,26, Private,101812, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,5721,0,40, United-States, <=50K
+11868,49, State-gov,336509, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11869,29, Private,383402, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+11870,47, Private,328216, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K
+11871,40, Private,280362, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+11872,34, Private,212064, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,7443,0,35, United-States, <=50K
+11873,42, Private,173704, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+11874,33, Private,433375, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K
+11875,63, Self-emp-not-inc,106551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11876,53, Private,22418, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11877,38, Private,54816, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11878,44, Private,358199, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+11879,43, Private,190044, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11880,26, Private,97698, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,32, United-States, <=50K
+11881,56, Private,53366, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11882,39, Private,236136, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11883,44, Private,326232, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K
+11884,34, Private,581071, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, >50K
+11885,40, Private,220589, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11886,38, Federal-gov,161463, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+11887,44, Private,95255, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11888,34, Federal-gov,223267, Some-college,10, Divorced, Protective-serv, Own-child, White, Male,0,0,72, United-States, <=50K
+11889,22, Private,236769, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, England, <=50K
+11890,58, Self-emp-inc,229498, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, >50K
+11891,43, Private,177083, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,30, United-States, <=50K
+11892,23, Private,287681, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Columbia, <=50K
+11893,41, Private,49797, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+11894,44, Private,174051, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+11895,32, Private,194901, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+11896,38, Local-gov,252250, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K
+11897,47, Private,191277, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+11898,24, Private,174907, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+11899,39, Private,167140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+11900,32, Private,236543, 12th,8, Divorced, Protective-serv, Own-child, White, Male,0,0,54, Mexico, <=50K
+11901,40, Private,214242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+11902,34, Private,216864, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,3770,45, United-States, <=50K
+11903,34, Private,245211, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,2036,0,30, United-States, <=50K
+11904,57, Private,437727, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K
+11905,71, Private,200418, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11906,45, Local-gov,167334, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+11907,54, Private,146834, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+11908,26, Private,78424, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K
+11909,37, Private,182675, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+11910,28, Self-emp-not-inc,38079, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+11911,42, Private,115178, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,15, United-States, <=50K
+11912,45, Private,195949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11913,37, Private,167415, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+11914,57, Private,223214, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+11915,39, Private,22245, Bachelors,13, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+11916,45, State-gov,81853, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K
+11917,30, Private,147921, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K
+11918,27, Private,29261, HS-grad,9, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+11919,44, Private,257758, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11920,44, State-gov,136546, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+11921,38, Private,205493, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K
+11922,19, Private,71650, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+11923,39, Private,150217, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+11924,55, Self-emp-inc,258648, 10th,6, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11925,17, Private,114798, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+11926,43, Private,186188, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11927,36, Local-gov,175255, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+11928,45, Private,249935, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+11929,44, Private,120277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+11930,26, Private,193165, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K
+11931,32, Private,185027, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, Ireland, >50K
+11932,21, Private,221418, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+11933,43, Federal-gov,56063, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+11934,34, Private,153927, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11935,33, State-gov,163110, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+11936,40, Self-emp-inc,175696, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,51, United-States, <=50K
+11937,46, Private,143189, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K
+11938,20, ?,114969, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+11939,54, State-gov,32778, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11940,23, Private,150683, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+11941,58, Self-emp-inc,78104, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+11942,25, Private,335005, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3137,0,40, United-States, <=50K
+11943,50, Local-gov,311551, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+11944,42, Self-emp-not-inc,201520, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+11945,25, Private,124111, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+11946,60, Private,166386, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,30, Hong, <=50K
+11947,43, State-gov,117471, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11948,25, Private,361307, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+11949,31, Private,142038, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, <=50K
+11950,35, Private,276552, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11951,48, Private,50402, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+11952,43, Self-emp-not-inc,174090, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+11953,27, Private,277760, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+11954,24, Private,24243, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+11955,44, Self-emp-inc,151089, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,70, United-States, >50K
+11956,52, Self-emp-not-inc,165278, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,22, United-States, <=50K
+11957,49, Private,182752, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+11958,31, Private,173002, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+11959,59, Private,261232, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11960,27, Private,164607, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+11961,38, Self-emp-not-inc,129573, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+11962,51, Federal-gov,36186, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+11963,24, Private,325744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11964,58, Self-emp-inc,329793, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+11965,46, Private,133616, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11966,55, Private,83401, 5th-6th,3, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+11967,76, Private,239880, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K
+11968,25, Private,201737, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+11969,51, Private,192182, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K
+11970,33, Private,143540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+11971,46, Private,28334, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+11972,51, Private,245873, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+11973,42, Local-gov,199095, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11974,53, Private,104461, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,8614,0,50, Italy, >50K
+11975,33, Local-gov,183923, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K
+11976,30, Private,129707, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K
+11977,41, Local-gov,575442, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11978,42, State-gov,184682, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+11979,34, Private,69251, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+11980,31, Private,225507, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+11981,46, Private,167515, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+11982,35, Private,407068, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+11983,40, Private,170019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K
+11984,46, Local-gov,125892, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+11985,43, Local-gov,35824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+11986,35, Private,67083, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+11987,23, Private,107801, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+11988,50, Self-emp-not-inc,95577, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, ?, <=50K
+11989,43, Private,118536, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K
+11990,61, Private,198078, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+11991,29, Private,78261, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K
+11992,21, Private,234108, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+11993,36, Local-gov,241998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1672,50, United-States, <=50K
+11994,40, Private,92717, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+11995,23, Private,257683, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+11996,90, Private,40388, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+11997,24, Private,55424, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+11998,20, Private,169600, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,2176,0,12, United-States, <=50K
+11999,40, Local-gov,319271, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12000,37, Self-emp-not-inc,75050, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+12001,31, Private,182896, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12002,22, Private,188274, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+12003,25, Private,211497, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12004,46, Private,113806, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, ?, >50K
+12005,47, Local-gov,172246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+12006,48, Local-gov,219962, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12007,36, ?,186815, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+12008,26, ?,132749, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,80, United-States, <=50K
+12009,28, Private,209801, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+12010,20, State-gov,178517, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12011,51, Private,169364, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Ireland, <=50K
+12012,32, Federal-gov,164707, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+12013,55, Private,144084, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+12014,41, Local-gov,133692, Bachelors,13, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+12015,46, Private,184169, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K
+12016,45, Self-emp-inc,145290, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+12017,65, Local-gov,24824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12018,45, Private,178319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+12019,22, Private,235829, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12020,22, ?,196280, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+12021,42, Self-emp-not-inc,54202, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+12022,37, Private,220237, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+12023,24, Private,59146, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+12024,67, Private,64148, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,41, United-States, <=50K
+12025,28, Private,196621, HS-grad,9, Married-spouse-absent, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K
+12026,56, Private,195668, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Cuba, >50K
+12027,31, State-gov,263000, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K
+12028,33, Private,554986, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+12029,52, ?,108211, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+12030,45, Private,217654, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Germany, >50K
+12031,53, Private,139671, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+12032,47, Private,102771, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K
+12033,40, Private,213019, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+12034,35, Private,228493, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K
+12035,65, Self-emp-not-inc,22907, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+12036,42, Private,24364, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K
+12037,23, Federal-gov,41432, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K
+12038,39, Private,235259, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12039,39, Private,343476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+12040,37, Private,326886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12041,25, Private,248313, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12042,31, Self-emp-not-inc,30290, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+12043,39, Private,188540, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12044,39, Private,237943, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+12045,25, Private,198870, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K
+12046,30, Private,233980, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12047,37, Private,171090, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,48, United-States, <=50K
+12048,22, Private,353039, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,36, Mexico, <=50K
+12049,46, Federal-gov,213140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+12050,54, Private,188136, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1408,38, United-States, <=50K
+12051,33, Private,130057, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12052,70, State-gov,345339, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12053,36, Private,182074, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12054,53, Local-gov,176557, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+12055,55, State-gov,71630, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1617,40, United-States, <=50K
+12056,17, Private,159849, 11th,7, Never-married, Protective-serv, Own-child, White, Female,0,0,30, United-States, <=50K
+12057,36, Private,183425, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12058,36, Self-emp-not-inc,125933, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+12059,40, Local-gov,180123, HS-grad,9, Married-spouse-absent, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K
+12060,36, Private,592930, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K
+12061,28, Private,183802, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+12062,39, Private,77005, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K
+12063,49, Private,80914, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12064,63, Self-emp-inc,165667, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12065,61, Private,123991, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K
+12066,48, Self-emp-inc,181307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+12067,55, Private,124137, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Poland, <=50K
+12068,18, ?,137363, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,4, United-States, <=50K
+12069,20, Private,291979, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,20, United-States, <=50K
+12070,49, Private,91251, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+12071,27, Federal-gov,148153, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+12072,37, Private,131463, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K
+12073,32, State-gov,127651, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+12074,33, Self-emp-inc,239018, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+12075,47, Private,276087, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,26, United-States, <=50K
+12076,34, Private,386877, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+12077,61, Private,210464, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,35, United-States, <=50K
+12078,25, Private,632834, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+12079,26, Private,245465, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+12080,18, Private,198087, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+12081,35, Private,27408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+12082,36, Private,242713, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K
+12083,56, Private,314727, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K
+12084,40, State-gov,269733, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12085,24, Private,177287, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K
+12086,66, Private,167711, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K
+12087,42, Private,112181, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+12088,28, Private,339002, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+12089,39, State-gov,24721, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+12090,65, Self-emp-not-inc,37092, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+12091,20, Private,216563, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+12092,52, Private,204447, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K
+12093,24, ?,151153, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,99999,0,50, South, >50K
+12094,39, Private,187089, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12095,18, Private,423052, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K
+12096,49, Private,169180, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Hong, <=50K
+12097,21, Private,104981, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,48, United-States, <=50K
+12098,35, ?,120074, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+12099,38, Private,269323, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+12100,55, Private,141549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12101,27, Private,214858, 10th,6, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,55, United-States, <=50K
+12102,34, Private,173524, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12103,54, Local-gov,365049, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+12104,38, Private,60355, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12105,32, Private,86808, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+12106,33, State-gov,174171, Some-college,10, Separated, Tech-support, Not-in-family, White, Male,0,0,12, United-States, <=50K
+12107,32, Federal-gov,504951, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+12108,34, Private,294064, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, <=50K
+12109,46, Private,120131, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, >50K
+12110,48, Private,199058, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12111,23, Private,152328, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+12112,48, Federal-gov,88564, 7th-8th,4, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+12113,67, Private,95113, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K
+12114,36, Private,247558, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,60, ?, >50K
+12115,25, Private,178421, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+12116,43, Private,484861, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,38, United-States, <=50K
+12117,27, Local-gov,225291, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12118,56, Private,205735, 1st-4th,2, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+12119,54, Self-emp-not-inc,58898, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,48, United-States, <=50K
+12120,39, Private,355468, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,46, United-States, >50K
+12121,60, Self-emp-not-inc,184362, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K
+12122,27, Private,347513, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12123,21, Private,138768, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+12124,24, Private,29810, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+12125,31, Private,126501, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12126,22, Private,60783, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K
+12127,26, Private,179772, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+12128,45, Self-emp-inc,281911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+12129,33, Private,70447, HS-grad,9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+12130,55, ?,449576, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,48, Mexico, <=50K
+12131,29, Private,327964, 9th,5, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12132,72, Private,496538, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,6360,0,40, United-States, <=50K
+12133,35, Self-emp-not-inc,153066, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+12134,53, State-gov,77651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12135,40, Private,119493, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+12136,20, Private,256240, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+12137,69, Private,177374, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1848,0,12, United-States, <=50K
+12138,41, Local-gov,37848, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+12139,45, Private,129336, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+12140,27, Private,183511, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+12141,46, Self-emp-inc,120131, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+12142,55, Private,190508, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, <=50K
+12143,31, Private,363130, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+12144,45, Private,240356, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K
+12145,64, Private,133166, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,5, United-States, <=50K
+12146,38, Private,32916, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+12147,17, Private,117477, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+12148,33, Private,34748, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,20, United-States, >50K
+12149,22, Private,459463, 12th,8, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K
+12150,23, Private,95989, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+12151,25, Private,118088, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+12152,33, Private,150570, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,43, United-States, >50K
+12153,31, ?,505438, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, Mexico, <=50K
+12154,37, Private,179731, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+12155,53, Private,122109, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,1876,38, United-States, <=50K
+12156,28, Local-gov,163942, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+12157,33, Private,106670, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+12158,41, Private,123403, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+12159,61, Self-emp-inc,119986, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+12160,25, Private,66622, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+12161,20, ?,40060, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,56, United-States, <=50K
+12162,35, Private,260578, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+12163,64, Local-gov,96076, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12164,28, Private,70604, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K
+12165,39, Self-emp-not-inc,230329, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,12, United-States, >50K
+12166,53, Private,49715, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+12167,28, Private,116531, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12168,38, Federal-gov,214542, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12169,25, Local-gov,335005, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, Italy, <=50K
+12170,19, Private,258633, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+12171,20, Private,203240, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+12172,27, Private,104457, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+12173,55, Local-gov,99131, HS-grad,9, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,2246,40, United-States, >50K
+12174,52, State-gov,125796, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1848,40, United-States, >50K
+12175,21, ?,479482, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+12176,30, Private,167790, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12177,47, Private,133758, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1974,40, United-States, <=50K
+12178,22, Private,106843, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,30, United-States, <=50K
+12179,24, Private,117959, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4386,0,40, United-States, >50K
+12180,26, Private,174921, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12181,27, Private,134152, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+12182,57, Private,99364, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+12183,18, Local-gov,155905, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K
+12184,30, Private,467108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12185,34, Self-emp-not-inc,304622, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+12186,40, Private,198692, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,60, United-States, >50K
+12187,60, Private,178050, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K
+12188,25, Private,162687, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12189,39, Private,113151, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+12190,48, Private,158924, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+12191,27, Self-emp-not-inc,141795, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+12192,33, Self-emp-not-inc,33404, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, >50K
+12193,65, Self-emp-inc,178771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12194,52, Private,168553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K
+12195,27, Private,110648, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+12196,32, Private,151053, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+12197,45, Self-emp-not-inc,142871, Some-college,10, Separated, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+12198,18, ?,343161, 11th,7, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K
+12199,27, Private,183523, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12200,57, Self-emp-not-inc,222216, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K
+12201,44, Private,121874, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, >50K
+12202,30, Private,467108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+12203,26, Private,34393, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12204,28, Federal-gov,42003, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+12205,61, Private,180418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+12206,49, Self-emp-not-inc,199590, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Mexico, <=50K
+12207,33, Private,144949, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+12208,50, Private,155594, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+12209,53, Self-emp-not-inc,162576, 7th-8th,4, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,99, United-States, <=50K
+12210,33, Private,232475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12211,22, Private,269474, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K
+12212,45, Local-gov,140644, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+12213,26, ?,39640, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K
+12214,50, ?,346014, 7th-8th,4, Separated, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+12215,47, Self-emp-not-inc,159726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12216,52, Federal-gov,290856, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+12217,57, Private,217886, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K
+12218,21, ?,199915, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+12219,58, Private,106546, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,2174,0,40, United-States, <=50K
+12220,50, Local-gov,220640, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, >50K
+12221,33, Federal-gov,88913, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+12222,34, Self-emp-not-inc,288486, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12223,20, Private,227411, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+12224,37, Local-gov,99935, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,50, United-States, >50K
+12225,57, Private,201112, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12226,57, Self-emp-not-inc,123778, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+12227,21, Private,204596, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K
+12228,40, Private,190290, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12229,23, Private,196674, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12230,54, Private,108435, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K
+12231,38, Private,186359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12232,32, Private,137076, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+12233,22, State-gov,262819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12234,27, Private,171655, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K
+12235,42, Private,183319, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K
+12236,36, Private,127306, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,47, United-States, <=50K
+12237,22, Private,68678, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K
+12238,40, State-gov,140108, 9th,5, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+12239,26, Private,263444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+12240,46, State-gov,265554, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+12241,28, Private,410216, 11th,7, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K
+12242,46, State-gov,20534, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12243,55, Private,188917, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12244,76, Private,98695, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+12245,27, Private,411950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+12246,50, Private,237819, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+12247,75, Private,187424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+12248,42, Federal-gov,198316, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12249,36, Local-gov,139703, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12250,51, Private,152596, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+12251,43, Private,194726, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K
+12252,44, Private,82601, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12253,20, ?,229843, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+12254,60, Private,122276, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Italy, <=50K
+12255,47, State-gov,188386, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+12256,73, Private,92298, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,15, United-States, <=50K
+12257,27, Private,390657, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+12258,50, Private,89041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K
+12259,35, Private,314897, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+12260,31, Private,166343, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,50, ?, <=50K
+12261,45, Private,88781, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, >50K
+12262,57, Private,41762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, >50K
+12263,34, Private,849857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K
+12264,19, Private,307496, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+12265,25, Private,324372, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+12266,39, Private,99270, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, Germany, >50K
+12267,28, Private,160731, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, >50K
+12268,48, State-gov,148306, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+12269,38, Private,259019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+12270,53, Private,224894, 5th-6th,3, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,10, Haiti, <=50K
+12271,19, Private,258470, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12272,41, Private,197919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K
+12273,23, Private,213719, Assoc-acdm,12, Never-married, Sales, Own-child, Black, Female,0,0,36, United-States, <=50K
+12274,32, Private,226535, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12275,35, Private,146042, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+12276,21, Private,180339, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Female,0,1602,30, United-States, <=50K
+12277,24, Private,99970, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+12278,34, Private,300687, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+12279,29, Local-gov,219906, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K
+12280,24, Private,122234, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, ?, <=50K
+12281,55, Private,158641, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12282,28, Private,239539, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+12283,46, Local-gov,102308, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12284,38, Private,186934, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+12285,29, Private,234447, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12286,35, Private,125933, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+12287,29, Private,142760, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+12288,41, State-gov,309056, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+12289,40, Self-emp-not-inc,48859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K
+12290,30, Private,110594, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12291,72, Private,426562, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+12292,17, Private,169037, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+12293,46, Self-emp-inc,123075, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K
+12294,38, Private,195744, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+12295,36, Private,81896, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+12296,24, Self-emp-not-inc,172047, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12297,28, Private,253814, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+12298,28, Private,66473, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+12299,60, ?,56248, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1485,70, United-States, >50K
+12300,42, Local-gov,271521, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,40, United-States, >50K
+12301,48, Private,265295, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12302,37, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12303,32, Private,196342, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+12304,55, Private,223594, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, Puerto-Rico, >50K
+12305,30, Private,149787, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+12306,68, Private,124686, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K
+12307,45, Private,50163, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+12308,26, Private,175789, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+12309,22, Private,218215, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+12310,22, Private,166371, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12311,36, Private,169469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+12312,52, Private,145081, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12313,68, Private,214521, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K
+12314,26, Local-gov,287233, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K
+12315,52, Private,201310, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K
+12316,46, Self-emp-not-inc,197836, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K
+12317,53, Private,158294, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+12318,17, Private,127366, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+12319,29, Private,203697, Bachelors,13, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,75, United-States, <=50K
+12320,41, Private,168730, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+12321,45, Private,165232, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, Trinadad&Tobago, <=50K
+12322,57, Private,175942, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+12323,30, Federal-gov,356689, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Japan, <=50K
+12324,46, Private,132912, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+12325,45, Private,187226, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+12326,59, ?,254765, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+12327,40, Private,202565, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K
+12328,38, State-gov,103925, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,2036,0,20, United-States, <=50K
+12329,22, Private,112164, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, ?, <=50K
+12330,59, Self-emp-not-inc,70623, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,85, United-States, <=50K
+12331,36, Private,102729, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12332,40, Private,558944, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+12333,18, Private,256967, 10th,6, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K
+12334,62, ?,144583, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+12335,63, Private,102412, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12336,29, Private,159788, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K
+12337,27, Private,55743, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,45, United-States, >50K
+12338,47, State-gov,148171, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, France, >50K
+12339,20, Local-gov,271354, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+12340,48, Private,98524, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+12341,29, Private,272913, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Mexico, <=50K
+12342,22, Private,324445, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12343,42, Private,155469, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Female,0,0,24, United-States, <=50K
+12344,36, Private,102945, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12345,60, Private,291904, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12346,41, Federal-gov,186601, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12347,43, Private,172401, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+12348,33, Private,193285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+12349,34, Private,176244, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+12350,32, Private,117779, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,35, United-States, <=50K
+12351,22, ?,34616, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+12352,52, Private,169182, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Puerto-Rico, <=50K
+12353,27, Private,180758, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12354,60, Local-gov,141637, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+12355,41, Self-emp-not-inc,169023, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K
+12356,34, Self-emp-not-inc,101266, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,62, United-States, <=50K
+12357,30, Private,164190, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12358,35, Private,142282, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+12359,39, Federal-gov,103984, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12360,64, Private,187601, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12361,17, Self-emp-not-inc,36218, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+12362,29, State-gov,106334, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K
+12363,37, Local-gov,249392, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+12364,43, Self-emp-not-inc,110355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+12365,30, Self-emp-not-inc,117944, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K
+12366,17, Private,163836, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+12367,29, Private,145592, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+12368,24, Private,108495, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, India, <=50K
+12369,27, Self-emp-not-inc,212041, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+12370,69, Self-emp-inc,182451, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12371,30, Private,124020, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12372,29, Private,199116, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+12373,17, ?,144114, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+12374,61, Private,107438, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1651,40, United-States, <=50K
+12375,70, Private,405362, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K
+12376,32, Private,175856, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K
+12377,21, ?,262241, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+12378,27, Self-emp-not-inc,420054, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,9562,0,50, United-States, >50K
+12379,27, Private,86681, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12380,19, Private,187161, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+12381,44, State-gov,691903, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K
+12382,36, Private,219483, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12383,45, Private,199058, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+12384,29, Private,192010, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Poland, <=50K
+12385,34, Federal-gov,419691, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,54, United-States, >50K
+12386,28, Local-gov,356089, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,50, United-States, <=50K
+12387,34, Private,684015, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+12388,18, Private,36882, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+12389,39, Private,203180, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,0,0,45, United-States, <=50K
+12390,34, Private,183811, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12391,35, Local-gov,103966, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,41, United-States, <=50K
+12392,24, Private,304602, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+12393,41, Private,57233, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+12394,50, State-gov,289207, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K
+12395,68, Private,224019, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K
+12396,35, Private,267966, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+12397,47, Private,214800, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+12398,43, Local-gov,241528, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+12399,35, Private,197365, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+12400,34, Private,296724, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,17, United-States, <=50K
+12401,26, Private,136226, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12402,50, Private,40623, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12403,22, Private,264874, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+12404,20, Private,112847, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+12405,18, ?,236090, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+12406,52, Self-emp-not-inc,89028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+12407,71, State-gov,210673, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,28, United-States, <=50K
+12408,55, Private,60193, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12409,17, Private,216137, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+12410,36, Private,139743, Some-college,10, Widowed, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+12411,25, ?,32276, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+12412,39, Local-gov,423605, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,40, Nicaragua, >50K
+12413,27, Private,298871, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+12414,42, Private,318255, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12415,22, Private,347867, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,1719,40, United-States, <=50K
+12416,57, Private,279636, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+12417,34, Private,405386, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,28, United-States, <=50K
+12418,31, Private,297188, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+12419,24, Private,182342, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+12420,41, Self-emp-not-inc,229148, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, Jamaica, <=50K
+12421,30, Private,189620, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,40, England, <=50K
+12422,17, Private,413557, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K
+12423,26, Self-emp-inc,246025, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,20, Honduras, <=50K
+12424,32, Private,390997, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,50, Mexico, <=50K
+12425,55, Private,102058, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+12426,19, Private,247298, 12th,8, Married-spouse-absent, Other-service, Own-child, Other, Female,0,0,20, United-States, <=50K
+12427,28, Private,140108, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+12428,55, ?,216941, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,2885,0,40, United-States, <=50K
+12429,49, Private,81654, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+12430,23, Private,177526, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12431,43, Private,64631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12432,40, Private,110028, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12433,41, Private,203761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+12434,23, Private,163870, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12435,59, Federal-gov,117299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+12436,20, Private,50648, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+12437,21, Private,166517, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12438,28, ?,173800, Bachelors,13, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,10, Taiwan, <=50K
+12439,44, Self-emp-inc,181762, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+12440,31, Self-emp-not-inc,340880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+12441,50, Self-emp-not-inc,114758, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,4416,0,45, United-States, <=50K
+12442,54, Private,138847, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+12443,28, Private,215014, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+12444,34, Private,183778, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12445,46, Private,273629, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12446,28, Self-emp-inc,113870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12447,23, Private,213955, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,2001,40, United-States, <=50K
+12448,29, Private,114982, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+12449,35, Private,205338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12450,41, Self-emp-not-inc,57924, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,50, United-States, >50K
+12451,90, ?,225063, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,10, South, <=50K
+12452,35, Self-emp-not-inc,202027, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K
+12453,20, Private,281356, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K
+12454,42, Private,30824, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,16, United-States, <=50K
+12455,56, Private,98809, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,5013,0,45, United-States, <=50K
+12456,31, Private,38223, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+12457,23, Private,172232, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K
+12458,60, Private,140544, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12459,28, Private,221366, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12460,32, Private,180799, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+12461,36, Private,111499, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,40, United-States, >50K
+12462,44, Self-emp-not-inc,155930, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+12463,34, Private,201122, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+12464,27, Private,101709, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+12465,49, Private,140121, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K
+12466,48, Private,172709, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12467,47, Private,120131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+12468,34, Private,117444, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+12469,27, Private,256764, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12470,31, Local-gov,176185, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,40, ?, <=50K
+12471,24, Private,223811, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12472,24, Private,201603, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+12473,25, Private,138765, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+12474,36, Private,133974, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+12475,38, Federal-gov,137953, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+12476,57, Private,103403, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12477,24, Private,461678, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+12478,41, State-gov,70884, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+12479,56, State-gov,466498, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K
+12480,19, Private,148644, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12481,44, Private,190739, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,32, United-States, <=50K
+12482,34, Private,299507, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12483,25, Private,211424, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+12484,27, State-gov,106721, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+12485,22, Private,192017, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12486,59, Private,530099, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,55, United-States, >50K
+12487,34, Private,119153, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+12488,30, Private,202450, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K
+12489,21, Private,50341, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+12490,24, Private,140001, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Italy, <=50K
+12491,19, ?,220517, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+12492,82, ?,52921, Some-college,10, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,3, United-States, <=50K
+12493,35, Private,31964, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+12494,32, Private,148207, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12495,45, Private,151627, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+12496,30, Private,402539, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12497,28, Self-emp-not-inc,188278, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+12498,28, Self-emp-not-inc,96219, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,5, United-States, <=50K
+12499,29, Private,340534, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K
+12500,60, Private,160339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K
+12501,28, Private,120135, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12502,38, Federal-gov,303817, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12503,31, Private,181091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+12504,28, Private,200515, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K
+12505,42, Private,160893, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,23, United-States, <=50K
+12506,40, Local-gov,183096, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Yugoslavia, >50K
+12507,24, Private,241367, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12508,37, Self-emp-inc,342084, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12509,36, Private,193855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12510,39, Private,80410, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12511,22, Private,554317, 9th,5, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K
+12512,46, Private,85109, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1628,40, United-States, <=50K
+12513,28, Private,108569, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K
+12514,34, Private,120959, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12515,42, Private,222011, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K
+12516,43, Private,238530, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12517,35, Private,48404, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+12518,60, Private,88055, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781,0,16, United-States, <=50K
+12519,33, Private,238381, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,8614,0,40, United-States, >50K
+12520,22, Private,243923, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,80, United-States, <=50K
+12521,39, Private,305597, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12522,33, Private,141841, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178,0,40, United-States, >50K
+12523,39, Private,129764, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12524,37, Self-emp-not-inc,150993, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+12525,63, Self-emp-not-inc,147140, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+12526,46, State-gov,30219, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,38, United-States, >50K
+12527,48, Private,167967, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12528,33, Private,133278, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+12529,65, Private,172510, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,1848,0,20, Hungary, <=50K
+12530,39, Private,192251, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, >50K
+12531,43, Private,210844, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, >50K
+12532,28, Private,263015, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12533,50, Self-emp-not-inc,155118, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,35, United-States, >50K
+12534,24, State-gov,232918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+12535,48, Private,143542, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12536,35, Private,45607, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12537,62, Private,29828, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12538,42, Self-emp-not-inc,104118, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12539,60, Private,191446, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+12540,50, Private,27484, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+12541,40, Private,205987, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Cuba, <=50K
+12542,39, Local-gov,143385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12543,43, ?,200508, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+12544,43, Local-gov,186995, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+12545,35, Private,54159, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+12546,39, Private,113481, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+12547,30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+12548,32, Private,349365, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,65, United-States, <=50K
+12549,18, Private,283637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12550,37, Private,70282, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12551,26, Private,166051, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12552,51, Private,193720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+12553,35, ?,124836, Some-college,10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K
+12554,33, Private,236379, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+12555,46, Private,122026, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+12556,40, Private,114537, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+12557,34, Private,191834, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+12558,29, Private,420054, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+12559,47, Self-emp-not-inc,160045, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+12560,34, Private,303187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+12561,45, Private,190088, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+12562,53, Private,126977, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+12563,52, Self-emp-not-inc,63004, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+12564,64, Private,391121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+12565,42, Private,211450, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+12566,44, Private,156413, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, >50K
+12567,41, Private,116797, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K
+12568,53, Local-gov,204447, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K
+12569,25, Private,66935, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+12570,20, Private,344278, 11th,7, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+12571,29, Private,108574, Assoc-voc,11, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+12572,56, Private,244605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12573,45, Private,363677, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,30, United-States, >50K
+12574,56, Private,219762, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K
+12575,38, Self-emp-inc,269318, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+12576,62, Private,77884, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+12577,28, Self-emp-not-inc,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+12578,31, Private,213643, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,40, United-States, <=50K
+12579,24, Private,69640, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+12580,65, Private,170012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,34, United-States, <=50K
+12581,40, Private,329924, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+12582,31, Private,193285, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12583,35, Private,261241, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1741,60, United-States, <=50K
+12584,42, Federal-gov,108183, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, South, >50K
+12585,20, Private,296618, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+12586,30, Local-gov,257796, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12587,25, Private,155320, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K
+12588,22, Private,151888, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+12589,65, ?,143118, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,2206,10, United-States, <=50K
+12590,31, Private,66278, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908,0,40, United-States, <=50K
+12591,56, Private,92444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K
+12592,51, Private,229272, HS-grad,9, Divorced, Other-service, Other-relative, Black, Male,0,0,32, Haiti, <=50K
+12593,36, Self-emp-not-inc,207202, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+12594,44, State-gov,154176, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,1590,40, United-States, <=50K
+12595,49, Private,180899, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,1755,45, United-States, >50K
+12596,28, Private,205337, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12597,57, Private,180779, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+12598,33, Self-emp-not-inc,343021, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K
+12599,49, Private,176814, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K
+12600,74, State-gov,88638, Doctorate,16, Never-married, Prof-specialty, Other-relative, White, Female,0,3683,20, United-States, >50K
+12601,48, Private,248059, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K
+12602,38, Private,409604, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+12603,39, Private,185053, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12604,46, Private,332884, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K
+12605,56, Private,212864, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+12606,27, Private,66473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12607,17, Private,285169, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+12608,28, Private,175431, 9th,5, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12609,18, ?,152641, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+12610,42, Private,339346, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+12611,39, Private,287306, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12612,29, Self-emp-not-inc,70604, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3464,0,40, United-States, <=50K
+12613,21, Private,88926, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+12614,36, Private,91275, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+12615,56, Private,244554, 10th,6, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12616,49, Private,232586, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12617,47, Self-emp-inc,127678, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K
+12618,44, Private,162184, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12619,40, Private,408229, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,45, El-Salvador, <=50K
+12620,43, State-gov,139734, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+12621,62, Private,197286, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, Germany, <=50K
+12622,52, Private,229983, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,30, United-States, >50K
+12623,25, Private,252803, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12624,63, Self-emp-inc,110890, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K
+12625,51, Private,160724, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,99, South, <=50K
+12626,25, Private,89625, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+12627,62, ?,266037, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+12628,27, Private,126730, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12629,48, Federal-gov,96854, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+12630,32, Private,186788, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12631,36, Private,28996, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+12632,30, Self-emp-not-inc,347166, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12633,45, State-gov,110311, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+12634,27, Private,310850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+12635,41, Private,220694, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K
+12636,61, Private,149405, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+12637,70, Self-emp-inc,131699, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K
+12638,55, Private,49996, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12639,35, Private,187112, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+12640,36, Private,180859, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K
+12641,29, Private,185647, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,60, United-States, <=50K
+12642,30, Private,316606, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+12643,45, Private,274657, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+12644,39, Federal-gov,193583, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,60, United-States, <=50K
+12645,18, Private,338836, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+12646,28, Private,216814, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+12647,27, Private,106935, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+12648,38, Private,223433, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12649,33, Private,174789, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12650,25, Private,135603, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+12651,25, ?,344719, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K
+12652,38, Private,372484, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+12653,23, Private,181820, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K
+12654,40, Private,235371, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+12655,36, Self-emp-inc,216711, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, ?, >50K
+12656,20, Private,299399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+12657,41, Private,202508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+12658,44, Private,172025, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+12659,49, Self-emp-inc,246891, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+12660,22, Private,450920, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+12661,26, Private,53598, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12662,47, Private,103757, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12663,48, Private,76017, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+12664,28, Self-emp-inc,80158, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+12665,37, Federal-gov,90881, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,8614,0,55, United-States, >50K
+12666,44, Private,427952, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+12667,20, ?,230955, 12th,8, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+12668,53, Private,177916, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+12669,36, Private,342642, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,15, United-States, <=50K
+12670,77, Private,253642, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,30, United-States, <=50K
+12671,21, Private,219086, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+12672,24, Private,162593, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+12673,30, Private,87561, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12674,51, Local-gov,142411, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+12675,22, Private,154422, Some-college,10, Divorced, Sales, Own-child, Asian-Pac-Islander, Female,0,0,30, Philippines, <=50K
+12676,23, Private,169104, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K
+12677,47, Private,193047, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+12678,17, Private,151141, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+12679,48, Private,267912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Mexico, >50K
+12680,43, Private,137126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12681,34, Private,152453, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K
+12682,19, Private,357059, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+12683,42, State-gov,202011, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12684,23, Private,98283, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+12685,61, Self-emp-not-inc,176965, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+12686,63, Private,187919, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+12687,65, Private,274916, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+12688,37, Private,105813, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+12689,41, Local-gov,193524, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+12690,35, Private,152734, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, <=50K
+12691,21, Private,263641, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+12692,48, Local-gov,102076, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+12693,51, State-gov,155594, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+12694,43, Private,33331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+12695,22, State-gov,156773, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, ?, <=50K
+12696,56, Self-emp-not-inc,115439, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+12697,47, Private,181652, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12698,26, Private,120268, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K
+12699,39, Private,196308, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K
+12700,45, Self-emp-not-inc,40690, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,75, United-States, <=50K
+12701,49, Private,228583, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, Columbia, <=50K
+12702,23, Private,695136, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+12703,69, Private,209236, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K
+12704,41, Federal-gov,214838, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12705,40, Self-emp-not-inc,188436, HS-grad,9, Separated, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K
+12706,25, Private,177625, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12707,52, Private,124591, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+12708,28, Private,230856, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,3325,0,50, United-States, <=50K
+12709,50, Federal-gov,221532, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12710,21, Private,232577, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,30, United-States, <=50K
+12711,48, Private,168216, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+12712,27, Private,214702, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+12713,63, Private,237620, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+12714,47, State-gov,54887, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+12715,37, Self-emp-not-inc,164526, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,45, United-States, >50K
+12716,28, Private,224506, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, ?, <=50K
+12717,58, Private,183870, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12718,41, Private,208330, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K
+12719,67, Self-emp-inc,168370, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+12720,62, Self-emp-not-inc,320376, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,48, United-States, <=50K
+12721,28, Private,192384, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+12722,26, Private,167350, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+12723,46, Self-emp-not-inc,103538, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+12724,29, Private,58522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12725,39, Private,191342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+12726,25, Private,193820, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K
+12727,20, Private,258490, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+12728,21, Private,56520, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+12729,25, Private,102476, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+12730,44, Self-emp-inc,311357, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+12731,37, Private,166497, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K
+12732,50, Private,160724, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K
+12733,29, Private,338270, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+12734,18, Private,282394, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,21, United-States, <=50K
+12735,32, Private,383269, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+12736,58, Private,119386, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+12737,50, Private,196975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12738,29, Private,334221, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K
+12739,58, Private,27385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12740,29, State-gov,133846, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+12741,36, Private,361888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+12742,21, Private,230429, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+12743,49, Private,328776, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+12744,60, Private,243829, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+12745,39, Private,306646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, >50K
+12746,50, Private,138179, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+12747,30, Private,280069, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+12748,55, Private,305759, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K
+12749,64, Local-gov,164876, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K
+12750,29, Self-emp-inc,138597, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K
+12751,40, Private,111483, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+12752,42, Private,144778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+12753,55, Private,171015, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+12754,43, Private,112494, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+12755,28, Private,408473, 12th,8, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+12756,46, State-gov,27802, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K
+12757,34, Private,236318, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+12758,47, Private,121836, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,38, United-States, >50K
+12759,43, Self-emp-not-inc,315971, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12760,24, Private,698418, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K
+12761,21, Private,329530, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+12762,65, Private,194456, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, >50K
+12763,20, Private,282579, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12764,31, State-gov,26401, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+12765,38, State-gov,364958, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,40, United-States, <=50K
+12766,22, Private,83998, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12767,20, Private,94364, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,20, United-States, <=50K
+12768,44, Private,174189, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+12769,44, Local-gov,101967, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+12770,41, Private,146908, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+12771,38, Private,126675, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2205,40, United-States, <=50K
+12772,21, Private,31606, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, Germany, <=50K
+12773,24, Private,132327, Some-college,10, Married-spouse-absent, Sales, Unmarried, Other, Female,0,0,30, Ecuador, <=50K
+12774,24, Private,112459, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+12775,28, Private,48894, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12776,39, Private,181943, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+12777,48, Private,247685, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+12778,24, Local-gov,195808, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12779,50, Private,172052, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, South, >50K
+12780,50, Local-gov,50178, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,55, United-States, <=50K
+12781,68, Private,351711, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+12782,31, State-gov,190305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+12783,22, Private,464103, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+12784,18, ?,36348, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,48, United-States, <=50K
+12785,25, Private,120238, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Poland, <=50K
+12786,28, Private,354095, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12787,17, Local-gov,308901, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+12788,24, State-gov,208826, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, England, <=50K
+12789,20, Private,369677, 10th,6, Separated, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K
+12790,45, Federal-gov,98524, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+12791,44, Private,239723, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Female,1506,0,45, United-States, <=50K
+12792,57, Private,231232, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12793,33, Private,236396, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K
+12794,24, ?,119156, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+12795,22, Private,320451, Some-college,10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male,0,0,24, India, <=50K
+12796,41, Private,38397, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12797,51, Self-emp-inc,189183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12798,46, Local-gov,199281, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+12799,52, Private,286342, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K
+12800,50, Private,152810, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+12801,26, Self-emp-inc,176981, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K
+12802,17, Private,117549, 10th,6, Never-married, Sales, Other-relative, Black, Female,0,0,12, United-States, <=50K
+12803,64, Private,254797, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12804,51, Private,133336, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+12805,28, Self-emp-not-inc,182826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+12806,51, Private,136224, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12807,39, Self-emp-not-inc,134475, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,1762,40, United-States, <=50K
+12808,48, Private,272778, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+12809,44, Private,279183, Some-college,10, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,40, United-States, >50K
+12810,47, Private,110243, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+12811,52, Private,202071, HS-grad,9, Widowed, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+12812,58, Private,197642, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K
+12813,19, Private,125591, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12814,40, Private,197462, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+12815,23, Private,238831, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+12816,31, Private,182177, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Yugoslavia, <=50K
+12817,40, Local-gov,240504, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12818,48, Self-emp-inc,125892, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K
+12819,46, Private,154430, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+12820,32, Private,207685, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,3908,0,40, United-States, <=50K
+12821,50, Private,222020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12822,18, Private,243240, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,37, United-States, <=50K
+12823,26, Private,158734, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+12824,36, Private,257691, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+12825,26, Private,144483, Assoc-voc,11, Divorced, Sales, Own-child, White, Female,594,0,35, United-States, <=50K
+12826,19, Private,209826, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+12827,53, Private,30244, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+12828,54, Private,133050, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,41, United-States, <=50K
+12829,29, Private,138332, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,6, United-States, <=50K
+12830,81, Private,201398, Masters,14, Widowed, Prof-specialty, Unmarried, White, Male,0,0,60, ?, <=50K
+12831,37, Private,526968, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K
+12832,40, Private,79036, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, >50K
+12833,36, Private,240323, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12834,18, Private,270544, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+12835,44, State-gov,199551, 11th,7, Separated, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+12836,36, Private,231052, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+12837,69, State-gov,203072, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+12838,17, Private,126771, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,7, United-States, <=50K
+12839,38, Private,31848, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12840,27, Private,328981, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K
+12841,52, Private,159670, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12842,24, Private,450695, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+12843,57, Private,182028, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+12844,19, Private,349620, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+12845,38, Private,161066, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K
+12846,46, Private,213611, 7th-8th,4, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female,0,1594,24, Guatemala, <=50K
+12847,21, Private,548303, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,40, Mexico, >50K
+12848,29, Private,150861, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Japan, <=50K
+12849,33, ?,335625, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12850,26, Private,133766, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+12851,28, Private,200511, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K
+12852,26, Private,50103, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+12853,37, ?,148266, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,6, Mexico, <=50K
+12854,49, Private,177211, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+12855,28, Private,132686, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+12856,57, Federal-gov,21626, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12857,60, Private,52900, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12858,20, ?,150084, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+12859,38, Private,248886, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K
+12860,51, Self-emp-not-inc,118259, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,60, United-States, <=50K
+12861,60, Private,145493, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12862,37, Private,219546, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411,0,47, United-States, <=50K
+12863,44, Federal-gov,399155, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K
+12864,19, Self-emp-not-inc,227310, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+12865,59, Private,333270, Masters,14, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K
+12866,50, Private,231495, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+12867,35, Federal-gov,133935, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12868,46, Federal-gov,55237, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+12869,18, Private,183034, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,35, United-States, <=50K
+12870,32, Private,245487, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K
+12871,32, Private,185480, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+12872,39, Private,114251, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+12873,25, Private,181814, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K
+12874,30, Private,340917, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+12875,37, Private,241998, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K
+12876,38, Self-emp-inc,125324, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K
+12877,36, Private,34744, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K
+12878,56, Private,131608, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+12879,35, Federal-gov,226916, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+12880,56, Private,124137, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,41, United-States, <=50K
+12881,17, Private,96282, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K
+12882,46, Private,337050, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+12883,56, Private,229335, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12884,61, State-gov,199495, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12885,25, Private,111675, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K
+12886,27, Private,139209, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12887,50, Self-emp-not-inc,32372, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+12888,33, Self-emp-not-inc,203784, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,62, United-States, <=50K
+12889,33, Private,164190, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+12890,38, Private,64875, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K
+12891,51, Private,41806, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+12892,27, Private,208725, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K
+12893,49, Local-gov,79019, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K
+12894,26, Private,136951, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12895,42, Private,203554, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12896,37, Private,252947, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,1719,32, United-States, <=50K
+12897,38, Private,170861, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12898,48, Private,199590, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, >50K
+12899,41, Private,529216, Bachelors,13, Divorced, Tech-support, Unmarried, Black, Male,7430,0,45, ?, >50K
+12900,33, Private,195576, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,60, United-States, <=50K
+12901,30, Private,182177, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Ireland, <=50K
+12902,25, State-gov,183678, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+12903,50, Private,209320, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+12904,54, Self-emp-inc,206862, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, >50K
+12905,37, Private,168941, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12906,59, Self-emp-not-inc,201263, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, United-States, >50K
+12907,17, Private,75333, 10th,6, Never-married, Sales, Own-child, Black, Female,0,0,24, United-States, <=50K
+12908,65, ?,299494, 11th,7, Married-civ-spouse, ?, Husband, White, Male,1797,0,40, United-States, <=50K
+12909,56, Self-emp-not-inc,163212, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,99999,0,40, United-States, >50K
+12910,57, Private,139290, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K
+12911,33, Private,400416, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+12912,41, Self-emp-not-inc,223763, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+12913,45, Private,77927, Bachelors,13, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+12914,50, Private,175804, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+12915,18, Private,91525, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,25, United-States, <=50K
+12916,19, Private,279968, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+12917,26, Private,77698, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+12918,61, ?,198686, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K
+12919,67, ?,190340, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+12920,41, Private,113491, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+12921,29, Private,202878, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+12922,27, Private,108431, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+12923,35, Private,194490, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+12924,37, Private,48093, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,90, United-States, >50K
+12925,22, Private,136824, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12926,25, Private,143280, 10th,6, Never-married, Priv-house-serv, Own-child, White, Female,0,0,24, United-States, <=50K
+12927,26, Private,150062, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+12928,27, Local-gov,298510, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+12929,26, Private,177147, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,6849,0,65, United-States, <=50K
+12930,51, Private,115025, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12931,45, Private,350440, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+12932,60, Private,83850, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+12933,35, Private,62669, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+12934,24, Private,229773, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+12935,40, Local-gov,196234, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K
+12936,69, ?,163595, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+12937,44, Private,157249, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1977,50, United-States, >50K
+12938,65, Private,80174, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,1848,0,50, United-States, <=50K
+12939,52, Self-emp-inc,49069, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+12940,38, Private,122952, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K
+12941,18, Private,123856, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,49, United-States, <=50K
+12942,24, Private,216181, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+12943,52, Private,180062, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+12944,21, Private,188535, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K
+12945,67, Self-emp-not-inc,106143, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K
+12946,64, Self-emp-not-inc,170421, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Female,0,0,8, United-States, <=50K
+12947,25, Private,283087, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K
+12948,34, Federal-gov,341051, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+12949,39, Self-emp-not-inc,34378, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+12950,26, Private,380674, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,52, United-States, <=50K
+12951,19, Private,304469, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K
+12952,35, Private,99146, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+12953,26, Private,205109, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+12954,38, Private,99156, HS-grad,9, Separated, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+12955,45, Private,97842, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K
+12956,18, Private,100875, 11th,7, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K
+12957,51, Private,200576, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,63, United-States, <=50K
+12958,36, Private,355053, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K
+12959,18, Private,118376, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, ?, <=50K
+12960,37, Local-gov,117760, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+12961,37, Private,117567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+12962,39, Federal-gov,189632, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+12963,21, Private,170108, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+12964,46, State-gov,27243, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+12965,33, Private,192663, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+12966,23, Private,526164, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+12967,52, Self-emp-not-inc,146579, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K
+12968,28, Private,60288, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+12969,23, State-gov,241951, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12970,48, Self-emp-inc,213140, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12971,17, Private,218124, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+12972,22, Self-emp-not-inc,279802, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,3, United-States, <=50K
+12973,26, Private,153078, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,80, ?, >50K
+12974,40, Private,167919, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+12975,90, Private,250832, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+12976,28, Private,193158, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+12977,44, Private,172032, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+12978,29, Private,39484, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,42, United-States, >50K
+12979,45, Private,84298, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+12980,43, Private,269015, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Germany, >50K
+12981,17, ?,262196, 10th,6, Never-married, ?, Own-child, White, Male,0,0,8, United-States, <=50K
+12982,49, Federal-gov,125892, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+12983,27, Private,134890, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K
+12984,60, Self-emp-not-inc,261119, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+12985,33, Private,119409, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Columbia, <=50K
+12986,53, Self-emp-not-inc,118793, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+12987,19, Private,184207, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12988,28, Self-emp-not-inc,191027, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+12989,22, Private,207782, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+12990,48, Self-emp-not-inc,209146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+12991,76, ?,79445, 10th,6, Married-civ-spouse, ?, Husband, White, Male,1173,0,40, United-States, <=50K
+12992,19, Private,187724, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+12993,28, Private,66777, Assoc-voc,11, Married-civ-spouse, Other-service, Other-relative, White, Female,3137,0,40, United-States, <=50K
+12994,58, Private,158002, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K
+12995,19, Self-emp-not-inc,305834, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K
+12996,37, ?,122265, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,42, ?, <=50K
+12997,22, Private,211798, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+12998,52, Self-emp-not-inc,123011, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+12999,31, Private,36302, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+13000,50, Self-emp-not-inc,176867, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781,0,40, United-States, <=50K
+13001,62, Private,169204, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+13002,26, Private,38232, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13003,64, State-gov,277657, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K
+13004,38, Private,32271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13005,44, Private,116825, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,80, United-States, >50K
+13006,28, Self-emp-not-inc,226198, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13007,19, Private,28145, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,52, United-States, <=50K
+13008,39, Private,140477, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K
+13009,50, Private,165050, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+13010,39, Self-emp-inc,202937, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+13011,36, Private,316298, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+13012,39, Private,203070, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,49, United-States, <=50K
+13013,51, Self-emp-inc,103995, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+13014,28, Private,176137, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+13015,57, Self-emp-not-inc,103948, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K
+13016,40, Local-gov,39581, Prof-school,15, Separated, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+13017,27, Private,506436, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K
+13018,32, Private,226975, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1876,60, United-States, <=50K
+13019,49, State-gov,154493, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,44, United-States, <=50K
+13020,34, Self-emp-not-inc,137223, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+13021,24, Private,102323, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+13022,54, Private,257765, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+13023,52, Private,42924, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+13024,43, Private,167599, 11th,7, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,25, United-States, <=50K
+13025,84, ?,368925, 5th-6th,3, Widowed, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K
+13026,79, ?,100881, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, >50K
+13027,35, Private,52738, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K
+13028,56, Private,98418, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K
+13029,30, Private,381153, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13030,54, Private,103700, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+13031,35, Private,298635, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K
+13032,32, Private,127895, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+13033,44, Self-emp-inc,212760, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+13034,32, Private,281384, HS-grad,9, Married-AF-spouse, Other-service, Other-relative, White, Female,0,0,10, United-States, <=50K
+13035,60, Private,181200, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13036,40, Private,257364, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+13037,50, Private,283281, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+13038,58, Private,214502, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K
+13039,41, Private,69333, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+13040,28, Private,190060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13041,53, Private,95864, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,35, United-States, <=50K
+13042,71, ?,144872, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,6514,0,40, United-States, >50K
+13043,17, ?,275778, 9th,5, Never-married, ?, Own-child, White, Female,0,0,25, Mexico, <=50K
+13044,45, Private,27332, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13045,23, Private,24395, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K
+13046,25, Private,330695, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+13047,40, Self-emp-not-inc,171615, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, >50K
+13048,28, Private,116372, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13049,27, Private,38599, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13050,19, Local-gov,202184, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K
+13051,24, Private,315303, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,25, United-States, <=50K
+13052,38, Private,103456, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+13053,24, State-gov,163480, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+13054,18, Private,317425, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,7, United-States, <=50K
+13055,58, Private,216941, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+13056,35, Private,116541, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,44, United-States, >50K
+13057,43, Private,186396, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K
+13058,45, Private,273194, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137,0,35, United-States, <=50K
+13059,24, Private,385540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K
+13060,63, Private,201631, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+13061,40, Private,439919, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+13062,21, Private,182117, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K
+13063,20, State-gov,334113, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+13064,42, Private,184837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,40, United-States, >50K
+13065,49, ?,228372, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K
+13066,47, Federal-gov,211123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13067,48, Self-emp-inc,38819, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+13068,61, Private,162391, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1651,40, United-States, <=50K
+13069,23, ?,302836, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,40, El-Salvador, <=50K
+13070,35, State-gov,89040, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+13071,46, Private,264210, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,20, United-States, <=50K
+13072,18, Private,87157, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+13073,28, Self-emp-not-inc,398918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+13074,62, ?,123612, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K
+13075,20, Private,155818, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+13076,28, Private,243660, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+13077,57, Private,134195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13078,56, Private,238638, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13079,33, Private,159929, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13080,19, Private,198668, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+13081,29, Private,215504, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13082,30, Private,158002, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,55, Ecuador, <=50K
+13083,53, Local-gov,35305, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,57, United-States, <=50K
+13084,25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K
+13085,44, State-gov,321824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K
+13086,22, Private,180449, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,28, United-States, <=50K
+13087,40, Private,201764, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13088,25, Private,250038, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K
+13089,30, Self-emp-not-inc,226535, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+13090,51, Private,136121, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+13091,17, Private,47199, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,24, United-States, <=50K
+13092,46, Local-gov,215895, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+13093,50, State-gov,24647, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+13094,34, Private,734193, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+13095,42, ?,321086, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+13096,41, Federal-gov,192589, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13097,32, Private,326283, Bachelors,13, Never-married, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K
+13098,32, Private,207284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13099,47, Private,109089, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K
+13100,50, Private,274528, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13101,77, Private,142646, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,23, United-States, <=50K
+13102,33, Private,180859, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13103,47, Self-emp-inc,188610, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+13104,64, Private,169604, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+13105,34, Private,260560, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+13106,34, Local-gov,188245, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K
+13107,67, Local-gov,103315, Masters,14, Never-married, Exec-managerial, Other-relative, White, Female,15831,0,72, United-States, >50K
+13108,37, Local-gov,52465, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13109,34, Private,737315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13110,22, ?,195143, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,29, United-States, <=50K
+13111,50, Self-emp-not-inc,219420, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,64, United-States, <=50K
+13112,60, Private,198170, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+13113,46, Local-gov,183168, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K
+13114,44, Private,196545, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+13115,43, Private,168412, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,44, Poland, <=50K
+13116,48, Private,174386, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, El-Salvador, >50K
+13117,36, Private,544686, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,2907,0,40, Nicaragua, <=50K
+13118,48, Private,95661, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+13119,37, Private,468713, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13120,51, Private,169112, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13121,52, Private,74024, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+13122,27, Private,110622, 5th-6th,3, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, Vietnam, <=50K
+13123,43, Local-gov,33331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+13124,23, Private,181557, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K
+13125,66, Private,142624, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5556,0,40, Yugoslavia, >50K
+13126,37, Self-emp-not-inc,192251, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,2635,0,40, United-States, <=50K
+13127,35, Private,146091, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13128,42, Local-gov,174575, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K
+13129,49, Private,200949, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,38, Peru, <=50K
+13130,51, Local-gov,201560, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+13131,71, Federal-gov,149386, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,9, United-States, <=50K
+13132,50, Local-gov,168672, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K
+13133,63, Private,38352, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+13134,41, State-gov,180272, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K
+13135,24, State-gov,275421, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+13136,41, Local-gov,173051, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+13137,33, Local-gov,167474, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13138,42, Local-gov,267138, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+13139,23, Private,135138, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+13140,49, Private,218357, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K
+13141,28, Self-emp-not-inc,107236, 12th,8, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13142,31, Private,138416, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, Mexico, <=50K
+13143,28, Private,154863, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K
+13144,37, Private,194004, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+13145,19, Private,339123, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+13146,51, Local-gov,548361, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,26, United-States, <=50K
+13147,25, Private,101812, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,41, United-States, <=50K
+13148,49, Self-emp-inc,127111, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+13149,47, Private,171807, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+13150,48, Local-gov,40666, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+13151,41, Local-gov,340682, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13152,32, Private,175052, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+13153,26, ?,321629, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,16, United-States, <=50K
+13154,46, Private,154405, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+13155,17, Private,108402, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+13156,34, Private,346275, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K
+13157,44, Private,42476, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K
+13158,23, Private,161708, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+13159,35, Private,70447, Some-college,10, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,4650,0,20, United-States, <=50K
+13160,30, Private,189759, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,4865,0,40, United-States, <=50K
+13161,65, ?,137354, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+13162,34, Private,250724, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Jamaica, <=50K
+13163,34, Federal-gov,149368, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13164,39, Private,154641, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13165,28, Private,38309, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,40, United-States, <=50K
+13166,53, Local-gov,202733, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K
+13167,34, Private,56150, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+13168,21, Private,260254, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13169,53, Private,108083, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+13170,54, Self-emp-not-inc,71344, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+13171,32, Private,174215, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+13172,39, State-gov,114366, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+13173,39, Private,158962, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+13174,29, Private,179498, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Germany, <=50K
+13175,29, Private,31935, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13176,43, Private,149909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K
+13177,20, ?,58740, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K
+13178,39, Private,216552, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13179,45, Private,255348, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13180,36, Private,176050, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13181,71, ?,125101, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13182,62, ?,197286, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+13183,43, Local-gov,337469, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,594,0,20, Mexico, <=50K
+13184,31, Private,159737, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,58, United-States, <=50K
+13185,39, Private,316211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+13186,32, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,32, United-States, >50K
+13187,45, Local-gov,556652, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+13188,19, Private,265576, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+13189,43, Private,347653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+13190,32, Private,62374, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+13191,43, Self-emp-not-inc,170230, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13192,34, Private,203051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,27, United-States, <=50K
+13193,66, Self-emp-inc,115880, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+13194,37, Private,167735, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+13195,46, Self-emp-inc,181413, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+13196,23, Private,185554, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+13197,41, Private,350387, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+13198,63, Private,225102, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K
+13199,55, Private,105582, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K
+13200,35, Self-emp-not-inc,350247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+13201,28, Private,150025, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, ?, >50K
+13202,37, Private,107737, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+13203,63, ?,334741, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+13204,43, Private,115562, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+13205,30, Self-emp-not-inc,131584, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K
+13206,36, Local-gov,95855, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K
+13207,54, Private,391016, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13208,36, Federal-gov,51089, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+13209,78, Self-emp-inc,188044, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,40, United-States, >50K
+13210,77, Private,117898, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+13211,28, Private,70240, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+13212,39, Self-emp-not-inc,187693, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K
+13213,37, Private,341672, Bachelors,13, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+13214,34, Private,208043, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K
+13215,22, Local-gov,289982, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K
+13216,54, Private,76344, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+13217,21, Private,200973, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+13218,36, Private,111377, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13219,62, Self-emp-not-inc,136684, HS-grad,9, Widowed, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K
+13220,40, Private,176716, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13221,47, Self-emp-not-inc,166894, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+13222,38, Private,243872, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+13223,28, Private,155621, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+13224,46, Private,102597, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+13225,22, Private,60331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+13226,37, Private,75024, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, Canada, <=50K
+13227,69, Private,174474, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,28, Peru, <=50K
+13228,43, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+13229,53, Private,83434, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,21, Japan, >50K
+13230,20, Private,691830, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K
+13231,22, Private,189203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13232,48, Private,115784, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+13233,40, Federal-gov,280167, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13234,68, ?,407338, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+13235,39, Private,52978, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,1721,55, United-States, <=50K
+13236,57, Private,169329, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,1887,40, Trinadad&Tobago, >50K
+13237,23, Private,315065, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,60, Mexico, <=50K
+13238,25, Local-gov,167835, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, >50K
+13239,22, Private,63105, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K
+13240,23, Private,520775, 12th,8, Never-married, Priv-house-serv, Own-child, White, Male,0,0,30, United-States, <=50K
+13241,41, Local-gov,47902, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+13242,25, Private,145434, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K
+13243,58, Private,56392, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13244,33, Private,162312, HS-grad,9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Japan, <=50K
+13245,28, Private,204074, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+13246,19, Private,99246, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K
+13247,44, Private,102085, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+13248,68, Private,168794, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K
+13249,33, State-gov,332379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+13250,24, Private,233419, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13251,44, Self-emp-not-inc,57233, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+13252,38, Private,192337, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+13253,31, Private,442429, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, Mexico, <=50K
+13254,29, Private,369114, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13255,65, Private,261334, 9th,5, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13256,55, Private,160303, HS-grad,9, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+13257,49, Private,50474, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13258,27, Private,321577, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+13259,41, Private,29591, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+13260,33, Self-emp-not-inc,334744, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+13261,22, Self-emp-not-inc,269474, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+13262,41, Private,287306, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+13263,66, Private,33619, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,4, United-States, <=50K
+13264,38, Private,149347, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+13265,43, Private,96249, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K
+13266,40, Local-gov,370502, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+13267,32, Private,188246, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13268,30, Private,167558, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, Mexico, <=50K
+13269,35, Private,292185, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+13270,41, Private,101593, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+13271,33, Local-gov,70164, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+13272,36, Private,269722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+13273,33, Self-emp-not-inc,175502, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+13274,53, Private,233165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+13275,27, Private,177351, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+13276,22, Private,212114, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,15, United-States, <=50K
+13277,26, Private,288959, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,36, United-States, <=50K
+13278,64, Private,231619, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,21, United-States, <=50K
+13279,48, Private,146919, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+13280,23, Private,388811, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13281,26, Private,243560, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, ?, <=50K
+13282,35, Self-emp-not-inc,98360, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+13283,46, Private,369538, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13284,65, Self-emp-not-inc,31740, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+13285,53, Private,223660, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Male,6849,0,40, United-States, <=50K
+13286,18, Private,333611, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,54, Mexico, <=50K
+13287,34, Self-emp-not-inc,108247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+13288,28, Private,76129, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Guatemala, <=50K
+13289,37, Private,91711, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+13290,61, ?,166855, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+13291,59, Private,182062, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K
+13292,32, Private,252752, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K
+13293,31, Private,43953, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K
+13294,25, Local-gov,84224, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13295,81, Private,100675, 1st-4th,2, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, Poland, <=50K
+13296,47, Private,155509, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K
+13297,39, Private,29814, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13298,37, Private,241805, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K
+13299,44, Private,214838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+13300,37, Private,240810, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+13301,41, Private,154076, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+13302,27, ?,175552, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K
+13303,55, Private,170287, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Poland, >50K
+13304,60, Private,145995, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13305,22, Private,433669, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, ?, <=50K
+13306,23, Private,233626, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+13307,19, Private,607799, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13308,45, Private,88500, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K
+13309,36, Private,127809, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+13310,46, Private,243743, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13311,48, Private,177211, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13312,39, Self-emp-not-inc,231180, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+13313,29, Private,253856, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+13314,39, Private,177075, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13315,26, Private,152855, HS-grad,9, Never-married, Exec-managerial, Own-child, Other, Female,0,0,40, Mexico, <=50K
+13316,37, Private,191137, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Male,0,0,25, United-States, <=50K
+13317,49, Private,255559, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+13318,27, Private,169815, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+13319,28, Private,221215, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+13320,35, Private,270059, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+13321,54, ?,31588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2635,0,40, United-States, <=50K
+13322,17, Private,345403, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+13323,18, Private,194897, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+13324,33, Private,388741, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,38, United-States, <=50K
+13325,33, Private,355856, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K
+13326,51, Private,122109, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+13327,49, Private,75673, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+13328,49, Self-emp-inc,141058, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,2339,50, United-States, <=50K
+13329,41, Private,47902, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+13330,64, Private,221343, 1st-4th,2, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,12, United-States, <=50K
+13331,40, Private,255675, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13332,49, Federal-gov,203505, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13333,23, Private,125106, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+13334,34, Private,139890, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+13335,38, Private,76878, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+13336,47, Self-emp-not-inc,28035, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,86, United-States, <=50K
+13337,30, Private,43953, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,1974,40, United-States, <=50K
+13338,36, Private,163237, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+13339,23, Local-gov,55890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13340,47, Self-emp-not-inc,255934, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K
+13341,61, Private,168654, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K
+13342,47, Self-emp-not-inc,39986, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13343,56, Private,208451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13344,20, Private,206681, 12th,8, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K
+13345,33, Private,117779, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,46, United-States, >50K
+13346,36, Self-emp-not-inc,129150, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+13347,38, ?,177273, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, <=50K
+13348,34, Local-gov,226443, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+13349,56, Private,146326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+13350,32, Private,187901, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,23, United-States, <=50K
+13351,26, Private,97153, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K
+13352,49, Private,188694, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+13353,71, Private,187493, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+13354,19, Private,212468, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+13355,20, Private,84726, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13356,42, Private,137907, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+13357,51, Private,34361, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K
+13358,38, Private,254114, Some-college,10, Married-spouse-absent, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+13359,38, Private,170174, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+13360,35, Self-emp-not-inc,190895, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K
+13361,24, Local-gov,317443, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K
+13362,40, Private,375603, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K
+13363,21, Private,203076, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+13364,49, Private,53893, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13365,18, ?,171748, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K
+13366,54, Private,167770, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K
+13367,52, Private,204584, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K
+13368,27, Private,660870, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13369,20, Private,105686, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13370,38, ?,70282, Masters,14, Married-civ-spouse, ?, Wife, Black, Female,15024,0,2, United-States, >50K
+13371,31, Private,148607, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13372,25, Private,255849, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13373,19, Federal-gov,255921, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, England, <=50K
+13374,33, Private,113326, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+13375,23, Private,440456, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13376,34, Private,105493, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+13377,42, Private,259757, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,653,50, United-States, >50K
+13378,37, Local-gov,89491, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13379,25, Private,171818, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+13380,40, Private,51151, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13381,33, Self-emp-not-inc,188957, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13382,31, Private,97933, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13383,32, Self-emp-inc,195447, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+13384,63, ?,46907, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K
+13385,54, Self-emp-inc,383365, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+13386,32, Self-emp-not-inc,203408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+13387,29, Local-gov,148182, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+13388,26, Local-gov,211497, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+13389,39, Self-emp-not-inc,48063, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+13390,57, Private,211804, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K
+13391,54, Private,185407, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+13392,57, Private,225927, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13393,23, Federal-gov,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13394,27, Self-emp-not-inc,208577, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+13395,42, Private,222884, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+13396,31, Private,209538, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13397,49, Local-gov,177114, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13398,50, Private,173754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13399,46, Local-gov,121370, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+13400,37, Private,67125, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+13401,26, Private,67240, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13402,27, Private,198346, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+13403,24, Private,141003, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K
+13404,24, Self-emp-inc,60668, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13405,29, Private,104256, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K
+13406,47, Private,131002, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+13407,33, Self-emp-not-inc,155151, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K
+13408,26, Private,177720, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+13409,20, Private,39615, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13410,25, Private,203871, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K
+13411,57, State-gov,25045, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,2174,0,37, United-States, <=50K
+13412,36, Private,112264, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+13413,25, Private,169100, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13414,46, Private,155659, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Germany, >50K
+13415,39, Private,291665, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4508,0,24, United-States, <=50K
+13416,29, Private,224215, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+13417,18, Private,270502, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K
+13418,46, Private,125487, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+13419,61, Private,51385, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+13420,41, Private,112763, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13421,50, Private,108926, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+13422,53, Private,366957, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,50, India, >50K
+13423,36, Local-gov,109766, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K
+13424,38, Private,226106, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+13425,75, Self-emp-not-inc,92792, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+13426,26, Private,186950, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+13427,44, Private,230478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+13428,25, Private,231638, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13429,31, Private,120461, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+13430,49, Private,33673, 12th,8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K
+13431,34, Private,191385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+13432,31, Self-emp-not-inc,229946, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K
+13433,47, Self-emp-not-inc,160131, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13434,38, Private,190895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+13435,18, Private,126021, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K
+13436,47, Private,27815, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,1719,30, United-States, <=50K
+13437,42, Private,203542, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13438,29, Private,144592, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+13439,38, Local-gov,223004, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,75, United-States, <=50K
+13440,22, Private,183257, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+13441,32, Private,172714, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13442,20, Private,131611, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,48, United-States, <=50K
+13443,41, Private,253060, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+13444,46, Private,471990, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,46, United-States, >50K
+13445,44, Private,138966, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K
+13446,35, Private,385412, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13447,18, ?,184101, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+13448,60, Private,103344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K
+13449,36, Local-gov,135786, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+13450,30, Private,227359, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+13451,40, State-gov,86912, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+13452,21, Private,83033, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2176,0,20, United-States, <=50K
+13453,25, Private,172581, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13454,56, State-gov,274111, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1669,40, United-States, <=50K
+13455,42, Private,187795, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K
+13456,26, Private,483822, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Guatemala, <=50K
+13457,66, Self-emp-inc,220543, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+13458,48, Private,152953, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, Dominican-Republic, <=50K
+13459,35, Private,239755, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+13460,41, Private,177905, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+13461,19, Private,200136, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+13462,55, Self-emp-not-inc,111625, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13463,42, Self-emp-not-inc,336513, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K
+13464,45, Private,162915, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13465,29, Private,116662, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13466,42, Self-emp-not-inc,24763, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+13467,65, Private,225580, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+13468,30, Private,169104, Assoc-acdm,12, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+13469,43, Private,212894, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13470,61, Private,93997, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K
+13471,22, Private,189924, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+13472,23, Private,274424, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+13473,34, Private,188246, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13474,51, Private,284211, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+13475,21, Private,198259, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+13476,31, Private,368517, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+13477,34, Private,168768, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+13478,33, Federal-gov,122220, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K
+13479,32, Private,136204, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,2824,55, United-States, >50K
+13480,44, Private,175641, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13481,21, State-gov,173324, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+13482,75, Local-gov,31195, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+13483,55, Federal-gov,88876, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K
+13484,43, Self-emp-not-inc,176069, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,16, United-States, <=50K
+13485,31, Private,215297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+13486,41, Private,198425, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+13487,26, Local-gov,180957, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13488,23, Private,206129, Assoc-voc,11, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+13489,42, Federal-gov,65950, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+13490,29, Private,197618, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13491,21, Private,185357, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13492,28, Private,134890, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+13493,64, ?,193043, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+13494,35, Federal-gov,153633, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+13495,65, Private,115890, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+13496,34, Private,394447, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,2463,0,50, France, <=50K
+13497,58, Private,343957, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13498,63, ?,247986, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+13499,50, Private,238959, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, ?, >50K
+13500,59, Private,159048, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13501,46, Private,423222, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+13502,30, Private,89735, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13503,28, Private,31778, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+13504,51, ?,157327, 5th-6th,3, Married-civ-spouse, ?, Husband, Black, Male,0,0,8, United-States, <=50K
+13505,47, Private,233511, Masters,14, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K
+13506,30, Private,327112, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1564,40, United-States, >50K
+13507,34, Private,236543, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13508,51, State-gov,194475, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13509,41, Private,303510, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13510,57, Private,171242, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13511,28, Self-emp-not-inc,39388, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+13512,62, Local-gov,197218, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K
+13513,22, State-gov,151991, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K
+13514,38, Private,374524, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13515,34, ?,267352, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+13516,45, Local-gov,364563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+13517,37, Private,186035, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+13518,21, Private,47541, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+13519,49, Private,151107, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+13520,24, Private,500509, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+13521,47, Private,138107, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2258,40, United-States, >50K
+13522,20, Federal-gov,225515, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K
+13523,27, Private,153291, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+13524,40, Private,169885, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13525,19, ?,112780, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+13526,31, Local-gov,175778, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13527,43, Private,55213, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1977,52, United-States, >50K
+13528,48, Private,38950, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+13529,64, Self-emp-not-inc,65991, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,45, United-States, >50K
+13530,39, Private,174330, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+13531,50, Private,35224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13532,52, Private,175622, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+13533,44, Private,164678, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K
+13534,50, ?,87263, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K
+13535,54, Private,163671, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,65, United-States, >50K
+13536,17, Self-emp-not-inc,181317, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K
+13537,33, Federal-gov,177945, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+13538,28, Private,47168, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+13539,39, Self-emp-not-inc,190023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+13540,33, Private,168782, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+13541,59, Private,175290, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,32, United-States, <=50K
+13542,74, Private,145463, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,15, United-States, <=50K
+13543,54, Private,159755, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+13544,31, Private,113364, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K
+13545,31, Private,487742, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+13546,20, Private,304710, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+13547,54, Local-gov,185846, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+13548,42, Private,212894, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,40, United-States, <=50K
+13549,57, Self-emp-not-inc,315460, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, <=50K
+13550,49, Private,135643, HS-grad,9, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+13551,40, Private,220977, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, India, >50K
+13552,19, ?,117444, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+13553,38, Private,202683, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13554,39, Private,164866, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K
+13555,43, Private,191814, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+13556,32, ?,227160, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13557,57, Private,158077, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+13558,38, Private,191103, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, >50K
+13559,25, Private,193701, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+13560,40, Private,143046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+13561,34, Private,206297, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+13562,35, Self-emp-not-inc,188563, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+13563,53, Private,35102, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,34, United-States, <=50K
+13564,21, Private,203055, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+13565,43, Private,309932, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13566,43, Self-emp-not-inc,243432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+13567,22, Private,177107, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K
+13568,64, Self-emp-not-inc,113929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+13569,19, ?,291509, 12th,8, Never-married, ?, Own-child, White, Male,0,0,28, United-States, <=50K
+13570,40, Private,222011, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K
+13571,34, Private,186824, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,70, United-States, <=50K
+13572,46, Private,192768, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+13573,35, Private,234962, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K
+13574,32, Private,83253, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+13575,26, Private,248990, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13576,25, Private,346159, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13577,55, Private,272656, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, >50K
+13578,22, Private,60552, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+13579,29, State-gov,33798, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+13580,38, Self-emp-not-inc,112158, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K
+13581,55, Private,200992, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+13582,26, Private,98155, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13583,34, Self-emp-inc,79586, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,60, United-States, <=50K
+13584,25, State-gov,143062, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13585,39, Private,101146, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K
+13586,18, ?,284450, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+13587,58, State-gov,159021, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+13588,34, Local-gov,353270, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+13589,29, Self-emp-not-inc,162312, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,45, South, <=50K
+13590,49, State-gov,231961, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, >50K
+13591,38, Private,181943, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+13592,21, Private,163595, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+13593,28, Private,130856, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13594,42, Private,208875, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, El-Salvador, >50K
+13595,29, Self-emp-not-inc,58744, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K
+13596,48, Private,116641, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+13597,40, Private,69333, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+13598,36, Private,320811, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+13599,34, Private,197886, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+13600,57, Self-emp-not-inc,253914, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, Mexico, <=50K
+13601,24, Private,89154, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K
+13602,32, Private,372317, 9th,5, Separated, Other-service, Unmarried, White, Female,0,0,23, Mexico, <=50K
+13603,18, Self-emp-not-inc,296090, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,48, ?, <=50K
+13604,39, Private,192614, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K
+13605,39, Private,403489, 11th,7, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+13606,18, Private,169652, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+13607,20, Private,217467, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13608,27, ?,162104, 9th,5, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+13609,54, Private,175912, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+13610,40, Self-emp-not-inc,179533, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, >50K
+13611,27, Private,149624, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K
+13612,27, Private,289147, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+13613,43, Federal-gov,347720, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13614,22, Private,406978, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K
+13615,17, Private,193199, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,12, Poland, <=50K
+13616,37, Self-emp-inc,163998, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+13617,49, Private,173115, 10th,6, Separated, Exec-managerial, Not-in-family, Black, Male,4416,0,99, United-States, <=50K
+13618,33, Private,333701, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+13619,21, State-gov,48121, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,1602,10, United-States, <=50K
+13620,45, Private,186256, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13621,33, Private,104525, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+13622,25, Private,104097, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,60, United-States, <=50K
+13623,71, Private,212806, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K
+13624,23, Local-gov,203353, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K
+13625,41, Private,130126, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K
+13626,21, ?,270043, 10th,6, Never-married, ?, Unmarried, White, Female,0,0,30, United-States, <=50K
+13627,47, Private,218435, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,20, Cuba, <=50K
+13628,30, Private,154120, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K
+13629,40, Private,193537, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Dominican-Republic, <=50K
+13630,44, Private,84535, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+13631,50, Private,150999, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+13632,31, State-gov,157673, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+13633,68, Private,217424, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, <=50K
+13634,45, Private,358886, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,50, United-States, <=50K
+13635,38, Private,186191, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+13636,78, Self-emp-inc,212660, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K
+13637,31, Self-emp-inc,31740, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+13638,39, Private,498785, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13639,36, Self-emp-not-inc,35945, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,45, United-States, >50K
+13640,46, Local-gov,162566, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, Canada, <=50K
+13641,30, Private,118861, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+13642,34, Private,206609, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K
+13643,30, Federal-gov,423064, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Male,0,0,35, United-States, <=50K
+13644,47, Private,191957, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+13645,40, Private,223934, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,17, United-States, >50K
+13646,62, ?,129246, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+13647,44, Self-emp-not-inc,195486, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,70, Jamaica, <=50K
+13648,40, Private,114580, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, Vietnam, <=50K
+13649,20, Private,119215, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+13650,45, Private,240554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+13651,55, Private,199067, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,42, United-States, >50K
+13652,51, Private,144084, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+13653,38, Private,358682, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+13654,49, Local-gov,59612, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13655,49, State-gov,391585, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+13656,30, Local-gov,101345, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,26, United-States, <=50K
+13657,20, Private,117618, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+13658,34, Private,231238, 9th,5, Separated, Farming-fishing, Unmarried, Black, Male,0,0,40, United-States, <=50K
+13659,42, Local-gov,143046, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K
+13660,46, Private,326857, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,2415,65, United-States, >50K
+13661,43, Private,203642, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+13662,62, Private,88579, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+13663,21, Private,240517, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,70, United-States, <=50K
+13664,58, Local-gov,156649, 1st-4th,2, Widowed, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K
+13665,30, Private,143392, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+13666,37, Private,365465, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,70, Philippines, <=50K
+13667,22, State-gov,264710, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+13668,64, State-gov,223830, 9th,5, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+13669,42, Private,154374, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+13670,43, State-gov,242521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13671,34, Private,124569, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13672,25, Private,209230, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K
+13673,21, Private,162228, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+13674,45, Federal-gov,60267, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+13675,55, Self-emp-not-inc,76901, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+13676,24, Private,137876, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+13677,70, Self-emp-not-inc,347910, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+13678,27, Local-gov,138917, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+13679,34, Private,532379, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13680,57, Private,31532, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+13681,37, Self-emp-not-inc,30973, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13682,52, Private,117295, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+13683,32, Private,295282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+13684,42, Private,190786, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13685,24, Private,246207, Bachelors,13, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+13686,50, Private,130780, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+13687,36, Private,186212, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+13688,42, Private,175526, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13689,40, Private,207025, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,38, United-States, <=50K
+13690,39, Federal-gov,82622, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+13691,51, Private,199688, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, ?, >50K
+13692,38, State-gov,318886, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,52, United-States, <=50K
+13693,18, Private,256005, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+13694,63, Self-emp-not-inc,217715, 5th-6th,3, Never-married, Sales, Not-in-family, White, Female,0,0,3, United-States, <=50K
+13695,50, Private,205803, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+13696,82, Self-emp-not-inc,240491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K
+13697,33, Private,154120, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+13698,37, Private,69251, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+13699,24, Private,333505, HS-grad,9, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,40, Peru, <=50K
+13700,31, Private,168521, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+13701,59, Private,193568, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+13702,18, Private,426895, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K
+13703,47, Self-emp-not-inc,131826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13704,48, Private,79646, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+13705,27, Private,167031, Bachelors,13, Never-married, Prof-specialty, Unmarried, Other, Female,0,0,33, United-States, <=50K
+13706,34, Private,73199, 11th,7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+13707,50, Private,114056, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,84, United-States, <=50K
+13708,57, Self-emp-not-inc,110417, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K
+13709,60, Private,33266, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+13710,39, Private,154410, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+13711,56, ?,154537, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, >50K
+13712,18, Private,27780, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+13713,26, Private,142914, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,75, United-States, <=50K
+13714,37, Private,190987, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,7298,0,40, United-States, >50K
+13715,20, Private,314422, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+13716,29, Local-gov,273771, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+13717,30, Private,175083, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,52, United-States, <=50K
+13718,21, Private,63665, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+13719,24, Local-gov,193416, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+13720,51, Private,74275, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13721,31, Private,122609, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+13722,45, Private,225456, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+13723,36, Local-gov,116892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13724,29, Private,196971, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,72, United-States, <=50K
+13725,20, Private,105312, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+13726,46, Private,108699, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13727,44, Private,171615, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+13728,39, Private,388023, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+13729,39, Private,181553, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+13730,45, Private,170850, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K
+13731,28, Private,187479, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+13732,44, Private,277720, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+13733,48, Local-gov,493862, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7298,0,38, United-States, >50K
+13734,27, Private,220754, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K
+13735,34, Self-emp-not-inc,209768, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13736,35, Private,93225, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13737,28, Federal-gov,341709, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13738,25, Private,236242, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+13739,21, Private,121889, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+13740,18, Private,318190, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+13741,63, Self-emp-not-inc,111306, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Female,0,0,10, United-States, <=50K
+13742,18, Private,198614, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,8, United-States, <=50K
+13743,32, Private,193231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13744,25, ?,104614, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+13745,19, Private,172368, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+13746,23, Private,60331, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+13747,38, Private,154568, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+13748,36, Private,192939, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K
+13749,43, Private,138184, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,1762,35, United-States, <=50K
+13750,45, Private,238567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K
+13751,30, Private,208068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K
+13752,46, Private,181810, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,4064,0,40, United-States, <=50K
+13753,24, Federal-gov,283918, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,25, United-States, <=50K
+13754,42, Private,107276, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,40, United-States, >50K
+13755,23, Private,37783, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+13756,27, Private,263552, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13757,48, Private,255439, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13758,31, Self-emp-inc,344275, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+13759,31, Private,70568, 1st-4th,2, Never-married, Other-service, Other-relative, White, Female,0,0,25, El-Salvador, <=50K
+13760,18, Private,127827, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+13761,36, Private,185203, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13762,58, Private,123436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+13763,51, Self-emp-not-inc,136322, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1579,40, United-States, <=50K
+13764,22, Private,187052, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13765,72, Private,177769, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K
+13766,61, Private,68268, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+13767,42, Private,424855, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3908,0,40, United-States, <=50K
+13768,37, Federal-gov,81853, HS-grad,9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+13769,30, Self-emp-inc,153549, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+13770,40, Private,271393, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13771,20, Private,198148, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+13772,65, Private,469602, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K
+13773,36, Private,163290, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+13774,37, Private,295949, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13775,33, Self-emp-not-inc,125279, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+13776,64, Local-gov,182866, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+13777,61, Self-emp-not-inc,111563, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, >50K
+13778,38, Private,34173, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+13779,27, Private,183627, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+13780,24, Private,197757, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+13781,39, Private,98941, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+13782,44, Private,205474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+13783,47, Private,206659, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+13784,73, ?,191394, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+13785,66, Private,244661, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+13786,53, Private,47396, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+13787,43, State-gov,270721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+13788,57, State-gov,32694, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13789,44, Private,171256, Assoc-acdm,12, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,45, United-States, <=50K
+13790,59, Private,169982, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,50, United-States, <=50K
+13791,52, Self-emp-not-inc,217210, HS-grad,9, Widowed, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K
+13792,46, Private,218329, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13793,20, Private,386643, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+13794,37, Federal-gov,125933, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+13795,41, Self-emp-not-inc,155767, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+13796,39, Federal-gov,432555, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1628,40, United-States, <=50K
+13797,30, Private,54929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+13798,59, Private,162136, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K
+13799,22, Private,256504, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13800,40, Private,162098, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+13801,39, Self-emp-not-inc,103110, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+13802,24, Private,227610, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,58, United-States, <=50K
+13803,63, Private,176696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+13804,51, Private,220019, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13805,34, Self-emp-inc,242984, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13806,38, Private,187847, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+13807,17, Private,132636, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+13808,20, Private,108887, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+13809,42, Self-emp-not-inc,195897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13810,41, Private,112181, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,12, United-States, >50K
+13811,56, Local-gov,391926, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13812,17, Private,195505, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,5, United-States, <=50K
+13813,31, Private,43819, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,43, United-States, >50K
+13814,23, Private,145389, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+13815,33, ?,186824, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+13816,36, Local-gov,101833, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13817,37, Private,82283, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+13818,52, Private,99602, HS-grad,9, Separated, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K
+13819,28, Private,213276, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+13820,59, Private,424468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+13821,30, Private,176123, 10th,6, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+13822,32, Private,38797, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13823,30, Private,101859, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13824,53, Private,87158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+13825,54, Self-emp-not-inc,205066, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+13826,26, Private,56929, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, ?, <=50K
+13827,34, Private,25322, Bachelors,13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,2339,40, ?, <=50K
+13828,31, Private,87950, Assoc-voc,11, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+13829,34, Private,150154, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+13830,58, Private,142076, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,4787,0,39, United-States, >50K
+13831,30, State-gov,112139, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+13832,53, Private,149217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+13833,27, Private,189974, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+13834,23, Private,109199, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+13835,24, Private,190290, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+13836,36, Private,189404, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,35, United-States, >50K
+13837,33, Federal-gov,428271, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+13838,22, State-gov,134192, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K
+13839,47, Private,168211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+13840,34, Private,277314, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Black, Male,0,1902,50, United-States, >50K
+13841,44, Federal-gov,316120, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K
+13842,41, Private,107276, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+13843,45, ?,112453, HS-grad,9, Separated, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,4, United-States, <=50K
+13844,24, Private,346909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, Mexico, <=50K
+13845,65, ?,105017, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+13846,45, Private,317360, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+13847,23, Private,189017, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+13848,54, Private,138179, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13849,40, Private,299813, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,37, Dominican-Republic, <=50K
+13850,45, Private,265083, 5th-6th,3, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,35, Mexico, <=50K
+13851,50, Private,185846, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13852,40, Private,184655, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K
+13853,24, Private,200295, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13854,42, Private,117319, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K
+13855,50, Private,63000, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+13856,58, Self-emp-not-inc,106942, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+13857,47, Private,52795, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K
+13858,37, Private,51264, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, France, >50K
+13859,37, Self-emp-not-inc,410919, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+13860,22, Private,105592, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+13861,29, Self-emp-not-inc,183151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+13862,45, Private,209912, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+13863,49, Self-emp-not-inc,275845, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+13864,44, Local-gov,241851, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,4386,0,40, United-States, >50K
+13865,72, Private,89299, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K
+13866,63, Self-emp-not-inc,106648, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,12, United-States, <=50K
+13867,26, Private,58426, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+13868,58, Self-emp-not-inc,121912, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+13869,40, Private,170730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+13870,56, Private,257555, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13871,55, Self-emp-not-inc,51499, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+13872,28, Private,195000, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,45, United-States, <=50K
+13873,57, Private,108741, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+13874,37, Private,184964, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+13875,44, Private,156815, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13876,31, Private,49325, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13877,42, Private,121718, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Germany, <=50K
+13878,18, Private,172076, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+13879,57, Self-emp-not-inc,327901, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+13880,53, Local-gov,215990, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+13881,38, Private,210866, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+13882,33, Private,322873, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+13883,42, Private,265698, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+13884,70, ?,26990, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+13885,50, Private,177896, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+13886,50, Private,189107, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+13887,28, Private,306830, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Nicaragua, <=50K
+13888,72, Federal-gov,39110, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, Canada, <=50K
+13889,33, Private,155475, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+13890,47, Private,135803, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K
+13891,48, Private,117849, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+13892,64, Self-emp-not-inc,339321, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K
+13893,19, Private,318822, 11th,7, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K
+13894,48, Private,174794, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+13895,37, Private,204277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K
+13896,55, Private,182460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,35, United-States, >50K
+13897,24, Private,193920, Masters,14, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, ?, <=50K
+13898,42, Federal-gov,91468, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13899,43, Private,106760, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, Canada, >50K
+13900,34, Private,375680, Assoc-acdm,12, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K
+13901,55, Self-emp-inc,222615, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+13902,22, Private,190968, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+13903,39, Private,76767, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+13904,50, Self-emp-not-inc,203098, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+13905,47, Local-gov,162187, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K
+13906,25, Private,242729, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+13907,52, Private,253784, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+13908,30, Private,206051, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+13909,37, Self-emp-not-inc,181553, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+13910,73, Self-emp-inc,80986, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+13911,50, Private,200783, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+13912,34, Private,42596, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+13913,24, Private,464502, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,0,0,40, ?, <=50K
+13914,66, Private,205724, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, >50K
+13915,22, Private,446140, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K
+13916,69, Local-gov,32287, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K
+13917,23, Private,56774, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13918,55, Private,308118, Bachelors,13, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, ?, <=50K
+13919,35, Private,176279, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+13920,20, Private,103277, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+13921,70, Self-emp-inc,225780, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K
+13922,54, Private,154728, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K
+13923,34, Private,149943, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K
+13924,38, State-gov,22245, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+13925,33, Private,93056, 7th-8th,4, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+13926,43, Private,270522, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,26, United-States, <=50K
+13927,60, Self-emp-inc,123218, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13928,81, Self-emp-not-inc,123959, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,1668,3, Hungary, <=50K
+13929,32, Self-emp-not-inc,103642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+13930,34, Private,157747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+13931,46, Self-emp-not-inc,154083, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K
+13932,30, State-gov,23037, Some-college,10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K
+13933,23, ?,226891, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K
+13934,29, Private,50028, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+13935,51, Private,138251, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+13936,31, Private,369825, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K
+13937,36, Federal-gov,44364, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,36, United-States, <=50K
+13938,23, Private,230704, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,22, United-States, <=50K
+13939,35, Private,42044, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K
+13940,28, Local-gov,56340, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13941,33, State-gov,156015, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+13942,40, Private,163434, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+13943,27, Private,85251, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+13944,38, Self-emp-inc,187411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+13945,47, Private,155124, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K
+13946,25, Private,396633, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,56, United-States, >50K
+13947,45, Private,182313, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+13948,38, Private,52596, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+13949,66, ?,260111, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+13950,65, Local-gov,143570, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+13951,30, Private,160634, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K
+13952,54, Private,29909, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,43, United-States, <=50K
+13953,49, Private,94215, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+13954,41, Self-emp-not-inc,151990, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, >50K
+13955,48, Federal-gov,188081, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+13956,23, Private,218445, 5th-6th,3, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,12, Mexico, <=50K
+13957,77, Private,235775, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Cuba, <=50K
+13958,19, Private,98605, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+13959,30, Private,188398, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+13960,41, Self-emp-inc,140365, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K
+13961,35, Private,202950, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Iran, >50K
+13962,20, Private,218215, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+13963,66, Self-emp-inc,197816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,40, United-States, >50K
+13964,49, Private,147002, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K
+13965,52, Private,138497, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+13966,24, Private,57711, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K
+13967,50, Private,169925, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K
+13968,22, Private,72310, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+13969,19, Private,170800, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+13970,39, Private,215095, 11th,7, Never-married, Prof-specialty, Unmarried, White, Female,0,0,30, Puerto-Rico, <=50K
+13971,45, Private,480717, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,38, ?, <=50K
+13972,61, Local-gov,34632, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+13973,45, Private,140664, Assoc-acdm,12, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+13974,36, Local-gov,177858, Bachelors,13, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+13975,40, Private,160369, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,45, United-States, >50K
+13976,38, Private,129102, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+13977,52, Local-gov,278522, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+13978,29, Federal-gov,124953, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K
+13979,33, Private,63184, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+13980,40, Self-emp-not-inc,165815, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+13981,34, Private,248584, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+13982,46, Local-gov,226871, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,50, United-States, >50K
+13983,44, Private,267717, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K
+13984,19, Private,60367, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,13, United-States, <=50K
+13985,44, Private,134120, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+13986,40, Private,95639, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+13987,20, Private,132053, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K
+13988,24, Private,138768, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+13989,76, Private,203910, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,17, United-States, <=50K
+13990,20, Private,109952, HS-grad,9, Married-civ-spouse, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K
+13991,33, Private,155781, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+13992,31, Private,49398, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+13993,33, Private,159303, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+13994,19, Private,248339, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+13995,29, Private,190539, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,50, United-States, <=50K
+13996,30, Private,183620, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+13997,48, Private,25468, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,50, United-States, >50K
+13998,42, Private,201495, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+13999,37, Private,52221, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14000,54, Self-emp-inc,96460, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K
+14001,42, Private,325353, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,42, United-States, >50K
+14002,28, Self-emp-not-inc,176027, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+14003,42, Local-gov,266135, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K
+14004,60, State-gov,194252, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103,0,40, United-States, >50K
+14005,76, ?,164835, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+14006,21, Private,363192, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+14007,29, Private,31360, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+14008,43, Private,63503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14009,44, Private,157614, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,38, United-States, <=50K
+14010,45, Private,160647, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,4687,0,35, United-States, >50K
+14011,38, Private,363395, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14012,28, Private,338376, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+14013,29, Private,87523, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+14014,20, Private,280714, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+14015,49, Self-emp-inc,119565, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+14016,36, Local-gov,171482, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K
+14017,40, Self-emp-inc,49249, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14018,17, Private,331552, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+14019,45, Private,174426, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14020,42, Private,184105, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,28, United-States, <=50K
+14021,29, Private,37933, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14022,57, Self-emp-not-inc,291529, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,13, United-States, >50K
+14023,23, Private,376416, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14024,20, Private,263612, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, Haiti, <=50K
+14025,23, Private,227471, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K
+14026,39, Private,191103, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14027,34, Private,35644, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14028,43, Self-emp-not-inc,227298, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+14029,25, State-gov,187508, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+14030,40, Private,184378, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Puerto-Rico, <=50K
+14031,52, Self-emp-not-inc,190333, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K
+14032,48, Private,155372, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,36, United-States, <=50K
+14033,37, Private,259882, Assoc-voc,11, Never-married, Sales, Unmarried, Black, Female,0,0,6, United-States, <=50K
+14034,36, Private,217077, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+14035,33, Private,103596, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14036,36, Local-gov,188236, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+14037,24, Private,353010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,10, United-States, <=50K
+14038,42, Local-gov,70655, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14039,35, Self-emp-inc,64874, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+14040,40, Federal-gov,219240, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,22, United-States, <=50K
+14041,50, Self-emp-inc,104849, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+14042,40, Private,173590, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14043,22, Private,412316, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, ?, <=50K
+14044,57, Self-emp-inc,195835, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+14045,51, Local-gov,170579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+14046,61, Federal-gov,230545, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K
+14047,71, Private,162297, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K
+14048,47, Private,169549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14049,38, Private,117528, Bachelors,13, Never-married, Other-service, Other-relative, White, Female,0,0,45, United-States, <=50K
+14050,25, Private,273876, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K
+14051,33, Private,529104, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+14052,40, State-gov,456110, 11th,7, Divorced, Transport-moving, Unmarried, White, Female,0,0,52, United-States, <=50K
+14053,39, ?,180868, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+14054,29, Private,170301, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,2829,0,40, United-States, <=50K
+14055,33, Private,55717, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14056,46, Private,166181, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,36, United-States, <=50K
+14057,24, Private,52242, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+14058,28, Private,224629, Masters,14, Never-married, Exec-managerial, Not-in-family, Other, Male,0,0,30, Cuba, <=50K
+14059,20, Private,197997, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14060,34, Private,46144, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+14061,34, State-gov,180871, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K
+14062,25, Private,212311, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14063,36, Private,232874, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+14064,61, Private,175999, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14065,38, Private,177121, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,58, United-States, <=50K
+14066,57, Private,299358, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,1719,25, United-States, <=50K
+14067,20, ?,326624, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+14068,56, Private,129836, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K
+14069,24, Private,225515, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14070,60, Private,145664, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+14071,37, Private,151764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+14072,27, Private,183523, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+14073,54, Private,257869, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,28, Columbia, <=50K
+14074,40, Private,73025, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K
+14075,18, Private,165532, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+14076,51, Federal-gov,140035, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+14077,40, Self-emp-not-inc,325159, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+14078,64, Federal-gov,161926, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,8, United-States, <=50K
+14079,24, Private,163665, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,2174,0,40, United-States, <=50K
+14080,33, Private,106938, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,38, United-States, <=50K
+14081,31, Private,97453, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+14082,26, Local-gov,242464, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3103,0,40, United-States, >50K
+14083,54, Private,155233, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,14084,0,40, United-States, >50K
+14084,31, Private,248653, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,37, Mexico, <=50K
+14085,39, Private,59313, 12th,8, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,45, ?, <=50K
+14086,22, Private,141297, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+14087,31, Private,227325, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14088,68, Private,123653, 5th-6th,3, Separated, Other-service, Not-in-family, White, Male,0,0,12, Italy, <=50K
+14089,59, Federal-gov,176317, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K
+14090,35, Self-emp-not-inc,77146, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,45, United-States, <=50K
+14091,25, Private,169124, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+14092,23, Private,179413, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+14093,35, Private,180137, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K
+14094,17, State-gov,179319, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+14095,19, Private,45766, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+14096,53, Private,152810, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K
+14097,59, Private,214052, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+14098,37, Private,201141, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K
+14099,74, Self-emp-not-inc,43599, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+14100,28, Private,292536, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14101,40, Private,82161, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14102,30, Private,180656, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+14103,20, Private,181370, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+14104,80, Private,148623, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+14105,51, Private,84399, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+14106,17, Private,143331, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+14107,37, Federal-gov,48779, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+14108,19, ?,175495, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K
+14109,58, Private,83542, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14110,57, Private,214619, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14111,37, Private,160035, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14112,23, Federal-gov,39603, Some-college,10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+14113,36, Private,181589, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, Columbia, <=50K
+14114,33, Private,261511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14115,30, Private,29522, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+14116,30, Private,36340, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K
+14117,41, Private,320984, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K
+14118,57, ?,403625, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K
+14119,23, Private,122346, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+14120,40, Private,105794, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K
+14121,53, Private,152883, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+14122,31, State-gov,123037, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,13, United-States, <=50K
+14123,41, ?,339682, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K
+14124,36, Private,182074, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+14125,30, Private,248588, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14126,44, Private,187584, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Canada, <=50K
+14127,36, Private,46706, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+14128,42, Private,190290, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14129,48, Self-emp-not-inc,247294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Peru, <=50K
+14130,22, Private,117779, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+14131,38, Private,121602, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14132,31, Private,451744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14133,32, Private,107793, HS-grad,9, Divorced, Other-service, Own-child, White, Male,2174,0,40, United-States, <=50K
+14134,35, Private,339772, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+14135,21, Private,185582, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,43, United-States, <=50K
+14136,26, Private,260614, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14137,19, Local-gov,53220, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+14138,43, Private,213844, HS-grad,9, Married-AF-spouse, Craft-repair, Wife, Black, Female,0,0,42, United-States, >50K
+14139,33, Private,213226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+14140,30, Private,58582, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K
+14141,52, Private,193116, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+14142,38, Local-gov,201410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+14143,28, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K
+14144,57, Self-emp-not-inc,138285, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Iran, <=50K
+14145,51, Private,111939, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14146,50, Private,109277, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+14147,32, Private,331539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, China, >50K
+14148,32, Private,396745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,48, United-States, >50K
+14149,37, Private,126675, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14150,69, Self-emp-not-inc,349022, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,33, United-States, <=50K
+14151,33, ?,98145, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+14152,37, Private,234901, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K
+14153,36, Private,100681, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2463,0,40, United-States, <=50K
+14154,47, Self-emp-not-inc,265097, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+14155,63, Private,237379, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14156,21, Private,44793, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,65, United-States, <=50K
+14157,17, Private,270942, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K
+14158,56, Private,193622, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+14159,90, Local-gov,187749, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K
+14160,27, Private,160178, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+14161,38, Private,680390, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+14162,33, Private,96245, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+14163,26, Private,34803, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14164,20, Private,170091, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+14165,42, Private,231813, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14166,55, Private,23789, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14167,32, State-gov,438711, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K
+14168,66, Private,169804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K
+14169,66, Local-gov,376506, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,3273,0,40, United-States, <=50K
+14170,49, Private,28791, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14171,34, Private,162814, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+14172,38, Private,58108, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14173,40, Self-emp-inc,102226, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+14174,22, Federal-gov,209131, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+14175,46, Self-emp-not-inc,157117, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14176,29, Private,172865, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+14177,19, Private,29798, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K
+14178,71, ?,229424, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14179,37, Local-gov,80680, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1151,0,35, United-States, <=50K
+14180,52, Local-gov,238959, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,32, United-States, >50K
+14181,27, Private,189462, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K
+14182,52, Private,139347, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K
+14183,31, Private,188108, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,4101,0,40, United-States, <=50K
+14184,37, Self-emp-inc,111128, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+14185,28, Private,81540, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14186,25, Private,257562, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+14187,31, Private,59496, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+14188,29, Private,29974, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14189,45, Private,102597, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+14190,69, Private,41419, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+14191,50, Private,118565, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+14192,54, State-gov,312897, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, England, >50K
+14193,17, Private,166290, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+14194,34, Private,160261, HS-grad,9, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,14084,0,35, China, >50K
+14195,32, Self-emp-not-inc,116834, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,5, ?, <=50K
+14196,23, Private,203076, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+14197,66, Private,201197, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+14198,61, Private,273803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14199,55, Private,156797, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14200,24, Private,283896, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14201,30, Private,149368, HS-grad,9, Divorced, Sales, Unmarried, White, Male,1151,0,30, United-States, <=50K
+14202,49, Private,156926, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+14203,21, ?,163911, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K
+14204,56, Self-emp-inc,165881, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+14205,25, Private,86872, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+14206,49, Private,167523, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14207,58, Private,154950, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+14208,40, Federal-gov,171231, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+14209,62, Private,244933, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+14210,54, Private,256908, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, >50K
+14211,34, Self-emp-not-inc,33442, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+14212,18, Private,126142, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+14213,28, ?,268222, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+14214,32, Private,167106, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K
+14215,22, Local-gov,50065, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14216,34, State-gov,252529, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K
+14217,53, ?,199665, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+14218,47, Private,343579, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+14219,19, Private,190817, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+14220,41, Self-emp-inc,151089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,55, United-States, >50K
+14221,46, Private,186820, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,5013,0,40, United-States, <=50K
+14222,56, Self-emp-not-inc,210731, 7th-8th,4, Divorced, Sales, Other-relative, White, Male,0,0,20, Mexico, <=50K
+14223,42, Private,123816, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+14224,25, Private,77071, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,2339,35, United-States, <=50K
+14225,42, Private,115085, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+14226,43, Private,170525, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K
+14227,17, Private,209949, 11th,7, Never-married, Sales, Own-child, White, Female,0,1602,12, United-States, <=50K
+14228,57, Self-emp-not-inc,34297, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14229,40, Private,180985, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14230,62, Local-gov,33365, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Canada, <=50K
+14231,20, Private,197752, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,16, United-States, <=50K
+14232,47, Private,180551, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+14233,40, Private,77975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+14234,44, Private,159297, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, ?, >50K
+14235,48, Private,94342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+14236,39, Self-emp-inc,34180, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+14237,46, Local-gov,367251, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+14238,72, Self-emp-inc,172407, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+14239,53, Private,303462, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K
+14240,47, Federal-gov,220269, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+14241,40, Self-emp-not-inc,45093, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, Canada, <=50K
+14242,34, Private,101709, HS-grad,9, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+14243,41, Private,219591, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+14244,41, Private,76625, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14245,20, Private,342599, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+14246,42, Self-emp-inc,125846, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, <=50K
+14247,54, Local-gov,238257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14248,39, Self-emp-inc,206253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+14249,37, Private,172571, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14250,59, Private,95165, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+14251,69, Private,141181, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, White, Male,1797,0,40, United-States, <=50K
+14252,24, Private,267843, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K
+14253,36, Private,181382, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K
+14254,21, ?,207782, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+14255,68, ?,103161, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,32, United-States, <=50K
+14256,20, Private,132320, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14257,26, Self-emp-not-inc,201138, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14258,48, Private,239058, 12th,8, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,50, United-States, <=50K
+14259,39, Self-emp-inc,239755, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+14260,21, Private,176262, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K
+14261,22, Private,264738, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,42, Germany, <=50K
+14262,34, Private,182218, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+14263,33, Private,318982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+14264,46, Private,216666, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K
+14265,47, Private,274200, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+14266,65, Private,150095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+14267,23, Private,192978, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+14268,28, Private,68021, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+14269,34, Self-emp-not-inc,28568, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K
+14270,20, Private,115057, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14271,28, Private,139568, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14272,52, Self-emp-inc,138497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+14273,40, State-gov,182460, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,38, China, >50K
+14274,22, Private,253310, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,7, United-States, <=50K
+14275,29, Self-emp-inc,130856, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+14276,31, Self-emp-not-inc,389765, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+14277,42, Federal-gov,52781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+14278,38, Private,146178, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14279,22, Private,231053, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, >50K
+14280,21, ?,145964, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+14281,43, Private,483450, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K
+14282,43, Self-emp-inc,198316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14283,33, Private,160614, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+14284,17, Self-emp-inc,325171, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K
+14285,54, Self-emp-not-inc,172898, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,50, United-States, >50K
+14286,45, Private,186473, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+14287,55, Local-gov,286967, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+14288,51, Self-emp-not-inc,111939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K
+14289,65, Federal-gov,325089, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+14290,21, Private,143582, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K
+14291,40, Private,308027, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14292,58, Private,105060, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+14293,53, Federal-gov,39643, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,58, United-States, <=50K
+14294,39, Private,186191, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,50, United-States, >50K
+14295,56, Local-gov,267763, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+14296,37, Private,124293, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+14297,44, Private,36271, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14298,49, Private,143459, 9th,5, Separated, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K
+14299,36, Private,186376, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+14300,59, Self-emp-inc,52822, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+14301,33, Private,104509, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+14302,36, Private,184456, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K
+14303,26, Private,192302, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K
+14304,22, Private,156822, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,1762,25, United-States, <=50K
+14305,25, Private,214413, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+14306,28, Private,108574, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K
+14307,41, Private,223934, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+14308,45, Private,200559, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+14309,43, Private,137722, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+14310,30, Private,261677, 9th,5, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K
+14311,33, Private,136331, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+14312,34, Private,329993, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+14313,21, Private,91819, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+14314,31, Private,201122, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K
+14315,48, Private,315423, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14316,22, Private,103277, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+14317,47, Private,236805, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K
+14318,27, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+14319,18, Private,115443, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K
+14320,43, Private,150528, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14321,36, Private,43701, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+14322,37, Federal-gov,419053, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14323,24, Private,183594, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+14324,24, Private,390348, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14325,38, Private,36989, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,3908,0,70, United-States, <=50K
+14326,48, Private,247895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+14327,75, Private,191446, 1st-4th,2, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,16, United-States, <=50K
+14328,43, Self-emp-not-inc,33521, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K
+14329,64, Private,46087, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+14330,67, ?,129188, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,20051,0,5, United-States, >50K
+14331,36, Private,356824, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14332,53, Private,158746, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+14333,22, Private,153323, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+14334,73, Self-emp-not-inc,130391, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K
+14335,46, Private,173613, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14336,45, Private,362883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+14337,43, Private,182757, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14338,20, Private,50397, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K
+14339,43, Federal-gov,101709, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+14340,21, Private,202570, 12th,8, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,48, ?, <=50K
+14341,40, Private,145649, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K
+14342,36, Private,136343, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14343,64, Self-emp-inc,142166, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+14344,19, ?,242001, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+14345,46, Private,127089, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,38, United-States, >50K
+14346,46, Local-gov,124071, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,65, United-States, >50K
+14347,41, Local-gov,190368, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K
+14348,29, ?,19793, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,8, United-States, <=50K
+14349,28, Private,67661, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+14350,23, Private,62278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+14351,30, Federal-gov,295010, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,60, United-States, >50K
+14352,44, Private,203897, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K
+14353,27, Private,265314, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+14354,25, Private,159603, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,34, United-States, <=50K
+14355,29, Private,134331, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14356,54, Private,123011, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K
+14357,27, Private,274964, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K
+14358,34, Private,66309, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+14359,38, Private,73471, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+14360,24, ?,26671, HS-grad,9, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+14361,56, Private,357118, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+14362,35, Self-emp-inc,184655, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K
+14363,23, ?,55492, Assoc-voc,11, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K
+14364,23, Private,175266, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14365,19, Private,188008, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+14366,42, Private,87284, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K
+14367,46, Private,330087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+14368,48, Self-emp-inc,56975, HS-grad,9, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,84, ?, <=50K
+14369,27, Private,150025, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+14370,22, ?,189203, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,15, United-States, <=50K
+14371,49, Self-emp-inc,330874, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+14372,23, Private,136824, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+14373,24, Private,201179, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+14374,34, Private,324654, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+14375,25, Federal-gov,366207, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+14376,33, Self-emp-not-inc,103860, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+14377,22, Private,106700, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,27, United-States, <=50K
+14378,54, Local-gov,163557, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+14379,39, Self-emp-inc,286261, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14380,25, Private,123083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14381,75, Self-emp-inc,125197, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,26, United-States, <=50K
+14382,28, Self-emp-not-inc,278073, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,30, United-States, <=50K
+14383,50, Private,133963, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+14384,62, Self-emp-not-inc,71467, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+14385,40, Private,76487, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14386,58, Local-gov,215245, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, United-States, <=50K
+14387,24, Federal-gov,127185, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+14388,21, Private,179720, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K
+14389,40, Private,88909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+14390,45, Private,341995, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,42, United-States, >50K
+14391,48, Private,173938, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+14392,34, Private,344275, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+14393,23, Private,150463, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Other, Female,0,0,40, Guatemala, <=50K
+14394,43, Local-gov,209544, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K
+14395,42, Local-gov,201723, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14396,39, Self-emp-not-inc,343476, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, Japan, >50K
+14397,52, Self-emp-inc,77392, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+14398,21, ?,171156, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14399,56, Self-emp-not-inc,357118, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+14400,48, Federal-gov,167749, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+14401,37, Self-emp-not-inc,352882, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,70, South, >50K
+14402,25, Private,51201, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+14403,40, Private,365986, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, >50K
+14404,34, Private,400416, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,45, United-States, <=50K
+14405,52, Private,31533, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14406,41, Private,106900, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,42, United-States, >50K
+14407,36, Local-gov,192337, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14408,21, Private,118712, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K
+14409,28, Private,301654, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14410,31, Self-emp-not-inc,145162, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, ?, >50K
+14411,20, Private,88126, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,9, England, <=50K
+14412,68, Private,165017, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K
+14413,35, Private,238342, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14414,32, Private,857532, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+14415,64, Private,134378, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14416,17, Private,260797, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,23, United-States, <=50K
+14417,25, Private,138765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+14418,74, ?,256674, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+14419,31, Private,247444, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Columbia, <=50K
+14420,51, State-gov,454063, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+14421,67, Private,180539, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K
+14422,42, Private,397346, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+14423,29, Private,107160, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14424,31, Private,262024, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+14425,21, Private,131230, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K
+14426,67, Private,274451, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K
+14427,41, State-gov,365986, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+14428,27, Private,204515, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K
+14429,51, Private,99316, 12th,8, Divorced, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K
+14430,21, ?,206681, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+14431,28, Private,268726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K
+14432,21, Private,275395, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+14433,28, Private,383322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+14434,29, Private,126822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+14435,39, Self-emp-inc,168355, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+14436,21, Private,162667, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+14437,43, Private,373403, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14438,44, Self-emp-not-inc,274562, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,14344,0,40, United-States, >50K
+14439,28, Private,249362, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+14440,31, Private,111567, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,43, United-States, >50K
+14441,18, ?,216508, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+14442,27, Private,145784, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K
+14443,34, State-gov,209317, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+14444,25, Private,259505, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14445,34, Private,345360, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, England, <=50K
+14446,43, Local-gov,198096, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+14447,40, Self-emp-inc,33126, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+14448,21, Private,206354, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+14449,25, Private,1484705, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K
+14450,21, Private,26410, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14451,19, Self-emp-not-inc,220901, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+14452,49, Self-emp-inc,44671, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14453,20, Private,38620, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+14454,36, Private,89040, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,47, United-States, <=50K
+14455,32, Private,370160, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14456,23, Private,208946, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,32, United-States, <=50K
+14457,21, Private,131230, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K
+14458,25, Private,60358, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+14459,26, Private,350853, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K
+14460,24, Private,209782, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+14461,22, Private,351952, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K
+14462,26, Private,142081, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Mexico, <=50K
+14463,22, Private,164775, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Guatemala, <=50K
+14464,41, Local-gov,47858, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+14465,18, Private,404085, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+14466,24, Private,218678, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+14467,38, Private,184655, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,48, United-States, <=50K
+14468,36, Private,321760, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K
+14469,45, Local-gov,185399, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K
+14470,38, Local-gov,409200, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+14471,38, Private,40077, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+14472,34, Self-emp-not-inc,31740, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14473,53, Local-gov,233722, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+14474,32, Private,192039, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+14475,17, Private,222618, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K
+14476,45, State-gov,213646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+14477,31, Local-gov,194141, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K
+14478,47, State-gov,80282, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+14479,27, Private,166350, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14480,61, Federal-gov,60641, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K
+14481,33, Private,124827, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14482,67, Private,105438, HS-grad,9, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+14483,38, Private,85244, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14484,25, Private,120535, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+14485,33, Local-gov,269604, 5th-6th,3, Never-married, Other-service, Unmarried, Other, Female,0,0,40, El-Salvador, <=50K
+14486,27, Private,247711, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+14487,45, Private,380922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+14488,24, Private,281221, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K
+14489,23, Private,269687, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14490,48, Private,181758, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+14491,61, Federal-gov,136787, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+14492,22, Private,107882, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+14493,34, Private,172579, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+14494,32, Private,29933, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K
+14495,35, Federal-gov,38905, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+14496,36, Private,168826, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14497,24, Private,424034, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+14498,60, Private,117509, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14499,28, ?,196971, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K
+14500,64, Private,69525, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,20, United-States, <=50K
+14501,22, Private,374116, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+14502,27, Private,283913, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,65, England, <=50K
+14503,36, State-gov,147258, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+14504,27, Private,139903, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K
+14505,52, Private,112959, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14506,57, Self-emp-not-inc,264148, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+14507,23, Private,256211, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,24, Vietnam, <=50K
+14508,29, Self-emp-not-inc,142519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14509,34, Private,281852, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,80, United-States, <=50K
+14510,38, Private,380543, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+14511,50, Self-emp-not-inc,204402, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, >50K
+14512,50, Private,192203, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14513,51, Self-emp-not-inc,199005, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+14514,17, Self-emp-inc,61838, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+14515,25, Private,210095, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+14516,19, Private,187352, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14517,43, Self-emp-not-inc,32451, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14518,59, Private,140569, Some-college,10, Separated, Sales, Not-in-family, White, Male,14084,0,60, United-States, >50K
+14519,39, Private,87556, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K
+14520,18, Private,79443, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K
+14521,27, Private,212622, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+14522,39, Private,32650, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+14523,44, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+14524,19, Private,219867, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K
+14525,32, Local-gov,206609, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+14526,48, Private,101299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14527,46, Private,29437, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+14528,65, Private,87164, 11th,7, Widowed, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K
+14529,57, Self-emp-inc,146103, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+14530,48, Private,169324, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,32, Haiti, <=50K
+14531,46, Private,138370, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,1651,40, China, <=50K
+14532,27, Private,29523, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+14533,29, Local-gov,383745, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1485,40, United-States, >50K
+14534,21, ?,247075, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,25, United-States, <=50K
+14535,20, ?,200967, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K
+14536,51, ?,175985, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+14537,35, Self-emp-inc,189404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,40, United-States, <=50K
+14538,29, Self-emp-not-inc,267661, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+14539,30, Local-gov,182926, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, United-States, >50K
+14540,65, Private,243858, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+14541,20, ?,43587, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14542,47, Federal-gov,31339, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+14543,41, Private,204682, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,2174,0,40, Japan, <=50K
+14544,17, Private,73145, 9th,5, Never-married, Craft-repair, Own-child, White, Female,0,0,16, United-States, <=50K
+14545,38, Local-gov,218184, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+14546,38, Local-gov,223237, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14547,39, Self-emp-not-inc,93319, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,4, United-States, <=50K
+14548,24, ?,212300, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K
+14549,52, Private,187356, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,41, United-States, <=50K
+14550,46, Self-emp-not-inc,220832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,58, United-States, >50K
+14551,22, Private,211361, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+14552,56, Private,134195, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14553,37, Self-emp-not-inc,218249, 11th,7, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,30, United-States, <=50K
+14554,59, Private,70720, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K
+14555,19, Self-emp-not-inc,342384, 11th,7, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,2129,55, United-States, <=50K
+14556,31, Private,237317, 9th,5, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,45, United-States, <=50K
+14557,22, Private,359759, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K
+14558,48, Self-emp-not-inc,181758, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, >50K
+14559,63, Self-emp-inc,267101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+14560,33, Private,222221, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K
+14561,53, Private,55139, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,10, United-States, <=50K
+14562,38, Private,220237, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K
+14563,39, Private,101073, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K
+14564,59, Private,69884, Prof-school,15, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K
+14565,45, Private,201127, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14566,39, Private,164733, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+14567,60, State-gov,129447, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14568,38, Private,32837, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,56, United-States, <=50K
+14569,31, Private,200117, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14570,61, Self-emp-not-inc,219183, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14571,66, ?,188842, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+14572,26, Private,272669, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,20, South, <=50K
+14573,60, Self-emp-inc,336188, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,80, United-States, >50K
+14574,68, ?,191288, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+14575,32, Private,176185, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,0,60, United-States, <=50K
+14576,25, Local-gov,197728, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K
+14577,43, Local-gov,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K
+14578,26, ?,133373, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,44, United-States, <=50K
+14579,55, Private,197399, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K
+14580,66, Private,86010, 10th,6, Widowed, Transport-moving, Not-in-family, White, Female,0,0,11, United-States, <=50K
+14581,31, Private,228873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14582,35, Private,187415, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K
+14583,58, Self-emp-inc,112945, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K
+14584,56, Private,98361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+14585,22, Private,129172, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+14586,46, Local-gov,316205, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+14587,33, Private,226629, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+14588,26, State-gov,180886, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+14589,42, Self-emp-not-inc,69333, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+14590,45, Private,213620, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+14591,43, Private,197397, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0,0,6, Puerto-Rico, <=50K
+14592,19, Private,223648, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, ?, <=50K
+14593,27, Private,179915, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,99, United-States, <=50K
+14594,51, Private,339905, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+14595,42, Private,112956, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+14596,43, Self-emp-not-inc,421837, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, Mexico, >50K
+14597,38, Private,187999, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+14598,44, Private,77313, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+14599,36, Private,231948, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,64, United-States, >50K
+14600,37, Private,37109, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,60, Philippines, <=50K
+14601,29, Private,79387, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+14602,53, ?,133963, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14603,42, Self-emp-not-inc,177937, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,45, Poland, <=50K
+14604,80, Private,173488, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+14605,61, Private,183355, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14606,55, Private,147989, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,52, United-States, <=50K
+14607,20, Private,289944, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+14608,23, Private,62278, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+14609,48, Federal-gov,110457, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14610,24, Private,295763, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K
+14611,71, State-gov,100063, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+14612,49, Private,194962, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,6, United-States, <=50K
+14613,39, Federal-gov,227597, HS-grad,9, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14614,22, Private,117606, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+14615,67, Federal-gov,44774, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14616,18, Private,177648, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+14617,38, Private,172571, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,54, United-States, >50K
+14618,38, ?,203482, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K
+14619,50, Private,153931, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14620,56, Self-emp-not-inc,84774, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K
+14621,23, Private,157127, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+14622,26, Private,170786, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14623,32, Private,281030, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14624,44, Private,203761, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,10520,0,40, United-States, >50K
+14625,27, Private,167405, HS-grad,9, Married-spouse-absent, Farming-fishing, Own-child, White, Female,0,0,40, Mexico, <=50K
+14626,40, Local-gov,188436, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K
+14627,43, Private,388849, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+14628,31, State-gov,176998, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K
+14629,57, Private,200316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14630,25, Private,160300, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+14631,22, Private,236684, Assoc-voc,11, Never-married, Other-service, Own-child, Black, Female,0,0,36, United-States, <=50K
+14632,20, Local-gov,247794, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+14633,27, Private,267325, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,3464,0,40, United-States, <=50K
+14634,39, Private,279490, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Mexico, <=50K
+14635,27, State-gov,280618, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14636,41, Local-gov,248406, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+14637,31, Local-gov,226494, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+14638,41, Private,220460, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+14639,25, Private,108317, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14640,29, State-gov,147256, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, >50K
+14641,22, Private,110371, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+14642,62, Private,114060, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,91, United-States, <=50K
+14643,29, Federal-gov,31161, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+14644,44, Private,105862, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,70, United-States, >50K
+14645,32, Private,402089, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,2, United-States, <=50K
+14646,19, ?,425447, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14647,20, Private,137300, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+14648,65, State-gov,326691, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+14649,24, Private,275093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,36, United-States, <=50K
+14650,37, Self-emp-not-inc,112497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14651,43, Local-gov,174491, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+14652,38, Self-emp-not-inc,114835, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, >50K
+14653,28, Private,137898, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+14654,33, Private,153151, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,4416,0,40, United-States, <=50K
+14655,32, Private,134886, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+14656,38, Private,193815, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+14657,33, Private,237833, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14658,42, Self-emp-not-inc,101593, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+14659,27, Private,164924, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14660,41, Private,174201, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+14661,47, Local-gov,36169, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+14662,55, Private,144071, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+14663,30, Self-emp-not-inc,180859, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,8, United-States, <=50K
+14664,54, Private,221915, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K
+14665,40, Private,26892, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+14666,21, Private,351084, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14667,34, Private,97306, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Female,0,0,25, United-States, <=50K
+14668,30, Private,185027, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14669,31, Private,182539, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+14670,22, Private,215395, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,37, United-States, <=50K
+14671,37, Private,186434, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K
+14672,41, ?,217921, 9th,5, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K
+14673,52, Local-gov,346668, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+14674,57, Self-emp-inc,412952, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+14675,48, Private,167009, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K
+14676,58, Private,316000, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+14677,35, Self-emp-not-inc,216256, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+14678,40, Private,341835, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+14679,30, Private,169841, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+14680,26, Self-emp-not-inc,200681, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K
+14681,46, Self-emp-not-inc,456956, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+14682,26, Federal-gov,276075, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+14683,50, Federal-gov,96657, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14684,22, Private,374313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+14685,36, Private,110998, Masters,14, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K
+14686,30, Private,53285, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+14687,58, Private,104613, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14688,17, ?,303317, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+14689,72, Private,298070, Assoc-voc,11, Separated, Other-service, Unmarried, White, Female,6723,0,25, United-States, <=50K
+14690,19, Private,318822, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14691,29, Private,375078, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Mexico, <=50K
+14692,20, ?,232799, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K
+14693,30, Private,210851, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14694,47, Self-emp-not-inc,213745, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+14695,51, Private,204447, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+14696,26, Private,318934, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+14697,24, Private,237386, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K
+14698,44, Private,182629, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,24, Iran, <=50K
+14699,43, Private,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14700,35, Private,117166, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14701,51, Private,237630, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,50, United-States, >50K
+14702,41, Private,171550, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+14703,38, Private,165302, Some-college,10, Divorced, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K
+14704,39, State-gov,42186, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,3464,0,20, United-States, <=50K
+14705,54, Private,284952, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,43, Italy, <=50K
+14706,62, Private,96099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14707,45, Private,198759, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+14708,30, Private,227886, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Female,0,0,35, Jamaica, <=50K
+14709,32, Private,391874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14710,23, Self-emp-not-inc,184370, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14711,84, Local-gov,135839, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,14, United-States, <=50K
+14712,46, Private,194698, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K
+14713,67, Local-gov,342175, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,2009,0,40, United-States, <=50K
+14714,29, Private,67218, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14715,33, Private,205152, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+14716,23, Private,434467, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, <=50K
+14717,63, ?,110150, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K
+14718,55, ?,123382, HS-grad,9, Separated, ?, Not-in-family, Black, Female,0,2001,40, United-States, <=50K
+14719,42, State-gov,404573, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+14720,17, Private,99462, 11th,7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+14721,60, Private,170310, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14722,31, Private,199883, 12th,8, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+14723,28, Private,70034, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Portugal, <=50K
+14724,31, Private,393357, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,48, United-States, <=50K
+14725,65, ?,249043, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,10605,0,40, United-States, >50K
+14726,31, Private,72630, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K
+14727,61, Private,223133, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+14728,43, State-gov,345969, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14729,40, State-gov,195520, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,49, United-States, <=50K
+14730,39, Private,257942, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14731,37, Local-gov,269300, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,27, United-States, <=50K
+14732,47, Private,137354, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+14733,45, Federal-gov,232997, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K
+14734,30, Private,77266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+14735,30, Self-emp-not-inc,164190, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+14736,49, Private,153536, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,44, United-States, >50K
+14737,51, Local-gov,26832, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14738,31, Private,188096, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,72, United-States, >50K
+14739,48, Self-emp-inc,369522, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K
+14740,20, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K
+14741,32, Private,205152, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K
+14742,31, ?,163890, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14743,19, Private,358631, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K
+14744,50, Private,185354, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14745,33, Private,336061, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+14746,25, ?,47011, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+14747,49, Private,149949, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+14748,30, Private,59496, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14749,23, Private,32950, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14750,44, Private,109912, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,32, United-States, >50K
+14751,24, Private,199555, Assoc-voc,11, Never-married, Sales, Unmarried, White, Male,0,0,5, United-States, <=50K
+14752,28, Private,91299, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K
+14753,56, Private,99359, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1617,40, United-States, <=50K
+14754,38, Private,242559, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+14755,20, Private,286391, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2176,0,20, United-States, <=50K
+14756,82, Private,132870, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,4356,18, United-States, <=50K
+14757,52, Federal-gov,22428, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+14758,32, Private,239150, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+14759,37, Private,170563, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+14760,36, Private,173542, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14761,39, Private,286026, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+14762,30, Private,72887, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,3411,0,40, United-States, <=50K
+14763,49, Local-gov,163229, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K
+14764,40, Local-gov,165726, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+14765,42, Private,70055, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+14766,35, Private,184655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14767,39, Private,139906, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,81, United-States, <=50K
+14768,32, Local-gov,198211, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14769,22, Private,146540, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14770,53, Local-gov,132304, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14771,25, Private,190916, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14772,17, Never-worked,237272, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+14773,44, Private,755858, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K
+14774,52, Private,127315, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+14775,42, State-gov,304302, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+14776,34, Private,184942, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+14777,27, Private,267989, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+14778,37, Private,188377, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+14779,39, State-gov,221059, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female,7688,0,38, United-States, >50K
+14780,26, Private,340787, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+14781,48, Private,140782, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,38, United-States, >50K
+14782,57, Private,169071, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K
+14783,36, Self-emp-not-inc,151094, Assoc-voc,11, Separated, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K
+14784,27, Private,122922, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14785,17, Private,151141, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+14786,30, Private,136651, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+14787,37, Private,177285, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,48, United-States, >50K
+14788,31, Local-gov,128016, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+14789,23, Private,200318, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+14790,32, Private,250354, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K
+14791,58, Private,191069, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+14792,31, Private,27856, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K
+14793,44, Private,523484, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+14794,39, Federal-gov,257175, Bachelors,13, Divorced, Tech-support, Unmarried, Black, Female,0,625,40, United-States, <=50K
+14795,59, Private,174864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,45, United-States, >50K
+14796,42, Private,196029, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K
+14797,45, Private,200471, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+14798,20, Private,353195, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+14799,35, Private,222868, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+14800,50, Private,221791, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K
+14801,56, Private,197114, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K
+14802,48, Private,160220, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+14803,58, Self-emp-not-inc,274917, Masters,14, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+14804,32, Private,348460, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+14805,23, Private,112683, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+14806,48, Private,345831, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14807,33, Private,105370, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K
+14808,48, Private,345006, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K
+14809,55, Private,195329, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,2202,0,35, Italy, <=50K
+14810,40, Local-gov,108765, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+14811,50, Private,138022, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+14812,52, Self-emp-not-inc,175029, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+14813,19, Private,189574, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+14814,55, Self-emp-not-inc,141409, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+14815,36, Self-emp-not-inc,186035, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+14816,39, Private,165235, Bachelors,13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K
+14817,22, Private,105043, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+14818,44, Private,230684, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+14819,34, Private,345705, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1408,38, United-States, <=50K
+14820,33, Private,248584, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+14821,55, Private,436861, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,14084,0,40, United-States, >50K
+14822,35, Private,200153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+14823,50, Private,398625, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14824,43, Private,114043, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+14825,29, Private,169544, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14826,56, Private,343849, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+14827,33, Private,162572, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K
+14828,24, Private,291578, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+14829,46, Private,136162, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+14830,60, Self-emp-inc,376133, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,15, United-States, >50K
+14831,48, Self-emp-inc,302612, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+14832,65, Local-gov,240166, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+14833,29, Private,193152, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+14834,42, Private,248094, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,43, United-States, <=50K
+14835,44, Private,119281, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14836,73, Self-emp-not-inc,300404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,6, United-States, >50K
+14837,21, Private,82847, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K
+14838,32, Self-emp-inc,161153, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,55, United-States, >50K
+14839,43, Federal-gov,287008, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, >50K
+14840,21, Private,654141, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K
+14841,30, Private,252646, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K
+14842,54, Private,171924, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K
+14843,19, Private,219742, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+14844,55, State-gov,153788, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K
+14845,20, Private,60639, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K
+14846,53, Private,96062, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K
+14847,51, Private,165614, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+14848,33, Private,159888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14849,62, Private,110586, Some-college,10, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+14850,24, Self-emp-not-inc,143062, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+14851,17, Self-emp-inc,413557, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+14852,26, Private,137658, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+14853,36, Private,398931, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14854,32, Private,311764, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K
+14855,58, Private,98725, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14856,38, Private,140854, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+14857,72, Private,97304, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,2346,0,40, ?, <=50K
+14858,26, Federal-gov,352768, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+14859,45, ?,27184, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K
+14860,72, ?,237229, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+14861,60, Private,142494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+14862,27, Private,210313, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Guatemala, <=50K
+14863,38, Private,194538, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+14864,37, Self-emp-inc,26698, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,44, United-States, >50K
+14865,28, Private,211032, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+14866,38, Self-emp-inc,107909, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+14867,29, Private,136077, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+14868,19, Private,184737, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1721,40, United-States, <=50K
+14869,28, Private,214689, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K
+14870,70, ?,147558, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K
+14871,40, Self-emp-not-inc,93793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+14872,26, Private,247025, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+14873,43, Private,284403, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, <=50K
+14874,29, Private,221977, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+14875,25, Federal-gov,339956, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+14876,29, Private,161097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+14877,60, Private,223696, 1st-4th,2, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,38, Dominican-Republic, <=50K
+14878,31, Private,234500, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+14879,51, Local-gov,97005, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14880,18, Private,242615, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+14881,36, Private,174938, Bachelors,13, Divorced, Tech-support, Unmarried, White, Male,0,0,20, United-States, <=50K
+14882,35, Private,160120, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+14883,48, Private,193775, Bachelors,13, Divorced, Adm-clerical, Own-child, White, Male,0,0,38, United-States, >50K
+14884,78, Self-emp-not-inc,59583, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+14885,72, Private,157913, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,17, United-States, <=50K
+14886,24, Private,308205, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+14887,58, ?,158506, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K
+14888,36, Private,201769, 11th,7, Never-married, Protective-serv, Not-in-family, Black, Male,13550,0,40, United-States, >50K
+14889,48, Private,330470, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K
+14890,28, Private,184078, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14891,26, Private,123384, Masters,14, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+14892,29, Private,330132, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+14893,47, Private,274720, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K
+14894,50, Private,129673, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+14895,35, Federal-gov,205584, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+14896,17, Private,327127, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+14897,41, Private,225892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+14898,37, Private,224886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K
+14899,35, Local-gov,27763, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+14900,56, Private,73684, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K
+14901,23, Private,107452, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14902,33, Private,23871, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+14903,79, Self-emp-inc,309272, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+14904,28, Private,469864, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+14905,55, Private,286230, 11th,7, Divorced, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+14906,59, State-gov,186308, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+14907,22, Private,113062, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+14908,19, Private,86150, 11th,7, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,19, Philippines, <=50K
+14909,41, Private,262038, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+14910,32, Private,279231, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K
+14911,67, ?,188903, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2414,0,40, United-States, <=50K
+14912,45, Private,183786, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+14913,61, Private,339358, 5th-6th,3, Married-civ-spouse, Farming-fishing, Other-relative, White, Female,0,0,45, Mexico, <=50K
+14914,34, Private,287737, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14915,43, Self-emp-not-inc,99203, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14916,38, Private,297449, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K
+14917,35, Private,113481, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+14918,65, Private,204042, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K
+14919,24, Private,43387, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, England, >50K
+14920,37, Private,99233, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+14921,34, Self-emp-not-inc,313729, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+14922,42, Private,99679, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+14923,18, Private,169745, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+14924,43, Federal-gov,19914, Some-college,10, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K
+14925,31, Private,113543, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+14926,19, Private,224241, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+14927,40, Self-emp-inc,137367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, China, <=50K
+14928,32, Private,263908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+14929,47, Private,280798, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+14930,32, Local-gov,203849, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14931,46, Self-emp-inc,62546, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+14932,40, Private,197344, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+14933,36, Private,93225, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+14934,33, Private,187560, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K
+14935,23, State-gov,61743, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K
+14936,21, Private,186648, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+14937,40, Private,173321, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K
+14938,53, State-gov,246820, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14939,20, ?,424034, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K
+14940,53, Self-emp-not-inc,291755, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K
+14941,58, Private,104945, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,60, United-States, <=50K
+14942,51, Private,85423, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+14943,31, Private,214235, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,65, United-States, <=50K
+14944,35, Self-emp-not-inc,278632, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14945,23, ?,27415, 11th,7, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+14946,31, Local-gov,143392, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+14947,21, Private,277408, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+14948,39, Self-emp-not-inc,336793, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+14949,36, Private,184112, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,45, United-States, >50K
+14950,51, Private,74660, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+14951,18, Private,395026, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+14952,32, Private,171215, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K
+14953,56, Private,121362, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+14954,35, Private,409200, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14955,63, Private,268965, 12th,8, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+14956,61, Private,136262, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+14957,23, Private,141323, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+14958,52, Local-gov,108083, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14959,19, Private,82210, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+14960,33, State-gov,400943, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+14961,35, Private,308489, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,50, United-States, <=50K
+14962,35, Private,187053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,60, United-States, >50K
+14963,38, Private,75826, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+14964,23, Private,413345, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+14965,22, Private,356567, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K
+14966,20, Private,223811, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14967,19, Private,159313, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+14968,47, Private,250170, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+14969,59, Private,135617, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14970,38, Private,187346, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+14971,36, Private,108103, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+14972,27, Private,255476, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K
+14973,24, Private,68577, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+14974,35, Private,155961, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,35, Jamaica, <=50K
+14975,22, State-gov,264102, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,39, Haiti, <=50K
+14976,37, Private,167777, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, <=50K
+14977,36, Private,225399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+14978,28, Private,199998, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+14979,55, Private,199856, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+14980,29, ?,189765, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+14981,32, Private,193042, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+14982,66, ?,222810, Some-college,10, Divorced, ?, Other-relative, White, Female,0,0,35, United-States, <=50K
+14983,47, Local-gov,162595, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K
+14984,23, Private,208826, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14985,50, Local-gov,120190, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+14986,40, Self-emp-not-inc,27242, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K
+14987,51, Private,348099, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1590,40, United-States, <=50K
+14988,34, Private,185041, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,45, United-States, <=50K
+14989,28, Private,309196, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+14990,52, State-gov,254285, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,70, Germany, >50K
+14991,39, Self-emp-inc,336226, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K
+14992,43, Private,240698, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+14993,36, Private,411797, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, >50K
+14994,25, Private,178843, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+14995,42, Private,136177, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+14996,35, Private,243409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Germany, <=50K
+14997,43, Private,258049, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,53, United-States, >50K
+14998,34, Private,164748, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+14999,50, State-gov,24185, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+15000,30, Private,167476, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+15001,44, Private,106900, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+15002,52, Private,53497, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15003,35, Private,335704, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+15004,36, Private,211022, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+15005,30, Private,163003, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,52, Taiwan, <=50K
+15006,36, Self-emp-inc,77146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K
+15007,39, Private,67433, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15008,25, Private,458549, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,96, Mexico, <=50K
+15009,26, Private,190469, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15010,20, Private,195411, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+15011,20, Private,216889, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+15012,70, ?,336007, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+15013,26, Private,167350, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K
+15014,24, Private,241857, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+15015,48, Private,125892, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+15016,62, Private,272209, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,99, United-States, <=50K
+15017,48, Private,175221, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15018,52, Private,180195, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15019,25, Private,38090, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K
+15020,58, Private,310085, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15021,40, Federal-gov,118686, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+15022,29, ?,112963, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+15023,45, Self-emp-inc,120131, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, ?, <=50K
+15024,19, Private,43937, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K
+15025,37, Private,210438, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15026,23, Private,176724, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+15027,31, Self-emp-not-inc,113364, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+15028,64, Self-emp-not-inc,73986, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+15029,28, Local-gov,197932, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+15030,32, Private,193285, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15031,49, Local-gov,223342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K
+15032,35, Private,49749, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K
+15033,19, ?,211553, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+15034,45, Private,201865, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+15035,39, Private,322143, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,70, United-States, >50K
+15036,55, Private,158702, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,2339,45, ?, <=50K
+15037,46, Self-emp-not-inc,275625, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,60, South, >50K
+15038,19, Private,206599, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+15039,29, Private,89813, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Scotland, <=50K
+15040,25, State-gov,156848, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,35, United-States, <=50K
+15041,37, Private,162494, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15042,30, Private,205407, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+15043,28, Private,375313, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+15044,36, Federal-gov,930948, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,6497,0,56, United-States, <=50K
+15045,32, Private,127895, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K
+15046,34, Private,248754, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15047,34, Private,188096, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K
+15048,20, Private,216811, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+15049,27, Self-emp-inc,113870, Masters,14, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+15050,36, Federal-gov,343052, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+15051,35, Private,280966, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15052,37, Private,42044, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+15053,32, Private,309513, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+15054,32, Private,163604, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15055,52, Private,224198, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+15056,50, Private,338283, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15057,23, Private,242375, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+15058,25, Private,81286, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+15059,21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K
+15060,31, Private,217803, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K
+15061,31, Self-emp-not-inc,323020, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K
+15062,41, Private,34278, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15063,47, Private,184579, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K
+15064,20, ?,210781, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+15065,20, Private,142673, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+15066,29, Private,131714, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,25, United-States, <=50K
+15067,51, Local-gov,74784, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15068,30, Local-gov,181372, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,33, United-States, >50K
+15069,23, ?,62507, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K
+15070,48, Private,155664, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K
+15071,39, Private,174924, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,14344,0,40, United-States, >50K
+15072,62, Private,113440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+15073,22, Private,147227, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+15074,46, Federal-gov,207022, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+15075,51, Local-gov,123011, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,35, United-States, >50K
+15076,20, Private,184678, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K
+15077,40, Self-emp-inc,182437, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+15078,31, Private,98639, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15079,30, Private,174201, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15080,52, Private,123780, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K
+15081,20, Private,374116, HS-grad,9, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+15082,37, Local-gov,212005, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15083,65, Private,123965, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15084,40, Private,242619, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+15085,60, Local-gov,138502, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,48, United-States, >50K
+15086,27, Private,113635, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Ireland, <=50K
+15087,62, Private,664366, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+15088,53, Private,218311, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15089,38, Private,278557, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+15090,49, Private,314773, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+15091,21, Private,194861, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+15092,18, Private,400616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+15093,25, Private,208117, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K
+15094,36, Private,184498, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15095,52, Private,117674, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+15096,19, Private,162621, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,14, United-States, <=50K
+15097,23, Private,368739, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15098,63, Self-emp-not-inc,196994, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K
+15099,63, Self-emp-not-inc,420629, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K
+15100,62, Self-emp-inc,245491, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,99999,0,40, United-States, >50K
+15101,51, Self-emp-not-inc,276456, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,3103,0,30, United-States, >50K
+15102,76, Local-gov,169133, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+15103,50, Private,99307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,45, United-States, <=50K
+15104,45, Self-emp-inc,120131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+15105,44, Self-emp-inc,456236, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,45, United-States, >50K
+15106,51, Private,107123, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+15107,42, Local-gov,125461, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,4650,0,35, United-States, <=50K
+15108,43, Local-gov,36924, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15109,53, Private,167065, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15110,29, Private,53642, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+15111,41, Private,154668, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+15112,44, Federal-gov,102238, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+15113,35, Private,54595, 10th,6, Widowed, Other-service, Not-in-family, Black, Female,0,1980,40, United-States, <=50K
+15114,27, Private,152951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15115,35, Private,257042, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+15116,60, Private,74243, Assoc-voc,11, Widowed, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K
+15117,49, Private,149049, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,14344,0,45, United-States, >50K
+15118,33, Private,117186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+15119,35, Private,178322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15120,31, State-gov,286911, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+15121,54, Private,203635, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,60, United-States, >50K
+15122,57, Self-emp-not-inc,177271, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+15123,30, Private,149427, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K
+15124,45, Private,101656, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+15125,41, Private,274363, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,42, United-States, >50K
+15126,25, Private,241025, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K
+15127,51, Self-emp-inc,338836, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15128,42, Private,210534, 5th-6th,3, Separated, Adm-clerical, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+15129,28, Private,95725, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15130,47, ?,178013, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Cuba, <=50K
+15131,53, Federal-gov,167410, Bachelors,13, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+15132,31, Private,158162, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,13550,0,50, United-States, >50K
+15133,46, Private,241935, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,7688,0,40, United-States, >50K
+15134,25, Federal-gov,406955, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+15135,47, Private,341762, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15136,26, Private,239303, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, <=50K
+15137,30, Private,38848, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15138,48, Private,54744, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15139,22, Private,332194, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+15140,32, Self-emp-not-inc,154950, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+15141,33, Self-emp-not-inc,196342, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+15142,31, Private,201292, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+15143,43, Private,339767, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, England, >50K
+15144,26, Private,250066, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15145,34, Private,318886, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+15146,50, Local-gov,124076, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+15147,30, State-gov,242122, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15148,17, Private,34019, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+15149,35, Local-gov,230754, Masters,14, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+15150,29, Private,213842, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15151,27, Federal-gov,196386, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, El-Salvador, <=50K
+15152,32, Self-emp-not-inc,62165, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K
+15153,34, Private,134737, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K
+15154,32, Private,515629, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15155,47, Federal-gov,119199, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+15156,40, Private,90222, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15157,26, Private,28443, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15158,30, Private,159442, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Ireland, <=50K
+15159,54, Private,315804, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15160,53, Private,135840, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+15161,38, Private,81232, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+15162,43, Private,118001, 7th-8th,4, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15163,25, Private,207875, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+15164,39, Private,164898, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15165,57, Local-gov,170066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, >50K
+15166,47, Private,111994, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K
+15167,45, Private,166636, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K
+15168,24, State-gov,61737, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15169,32, Self-emp-not-inc,241885, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15170,25, Private,234190, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+15171,57, Private,230899, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15172,28, Private,114158, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,24, United-States, >50K
+15173,28, Private,222442, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, Cuba, <=50K
+15174,27, Private,157612, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+15175,28, Private,199903, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15176,74, ?,292627, 1st-4th,2, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+15177,44, Self-emp-not-inc,156687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,42, Japan, <=50K
+15178,27, Private,369522, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K
+15179,61, Private,226297, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+15180,25, Private,356017, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,99, United-States, <=50K
+15181,28, Private,189257, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,24, United-States, <=50K
+15182,20, Private,157541, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15183,33, Private,69251, Assoc-voc,11, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+15184,38, State-gov,272944, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15185,31, Private,113667, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K
+15186,40, Private,222011, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K
+15187,43, Private,191196, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+15188,38, Private,169104, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+15189,19, Private,146679, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,30, United-States, <=50K
+15190,56, Private,226985, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+15191,38, Private,153066, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+15192,30, ?,159303, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K
+15193,22, Private,200109, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,4508,0,40, United-States, <=50K
+15194,18, State-gov,109445, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+15195,68, Private,99491, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15196,35, Private,172571, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15197,42, Private,143582, 7th-8th,4, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,48, ?, <=50K
+15198,32, Private,207113, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+15199,43, Federal-gov,192712, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+15200,30, Private,154297, 10th,6, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15201,62, Private,238913, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,2829,0,24, United-States, <=50K
+15202,38, Private,110402, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15203,27, Private,207213, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+15204,28, Private,606111, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Germany, >50K
+15205,26, Private,34112, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15206,21, Private,119156, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+15207,19, Private,249787, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K
+15208,20, Private,153516, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+15209,25, State-gov,260754, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15210,28, Self-emp-not-inc,155621, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Columbia, <=50K
+15211,36, Private,33983, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, >50K
+15212,23, Private,306601, Bachelors,13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K
+15213,24, Private,270075, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K
+15214,23, Private,109430, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15215,24, Private,187115, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+15216,25, Self-emp-not-inc,463667, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,8, United-States, <=50K
+15217,24, Private,52262, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15218,30, Private,144064, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,62, United-States, <=50K
+15219,26, Private,147821, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,45, ?, <=50K
+15220,62, ?,232719, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+15221,36, Private,268620, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,33, United-States, <=50K
+15222,45, Private,81132, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+15223,31, Private,323069, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,880,45, United-States, <=50K
+15224,34, Private,242984, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K
+15225,65, Self-emp-inc,172684, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, Mexico, >50K
+15226,42, Private,103932, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+15227,27, State-gov,431637, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K
+15228,40, Private,188942, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, Puerto-Rico, <=50K
+15229,53, Federal-gov,170354, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+15230,54, Private,28518, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+15231,30, State-gov,193380, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, <=50K
+15232,59, Private,175942, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+15233,42, Self-emp-not-inc,53956, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, <=50K
+15234,23, Private,120773, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15235,28, Private,96219, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K
+15236,20, Private,104164, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+15237,22, Private,190429, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15238,73, ?,243030, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+15239,47, Self-emp-not-inc,228660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K
+15240,44, Private,368757, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15241,40, Private,220563, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15242,37, Private,233571, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,37, United-States, >50K
+15243,39, Private,187847, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K
+15244,49, Private,84298, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+15245,44, Self-emp-not-inc,254303, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15246,27, Private,109611, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, Portugal, <=50K
+15247,50, Private,189183, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+15248,39, Private,206951, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15249,41, Private,282882, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15250,55, Private,377061, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+15251,53, Private,209906, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, Puerto-Rico, <=50K
+15252,53, Local-gov,176059, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+15253,31, Private,279015, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,70, Taiwan, >50K
+15254,21, Private,347292, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15255,30, Private,277314, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15256,74, ?,29887, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,10, United-States, <=50K
+15257,53, Private,341439, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K
+15258,47, Private,209460, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,47, United-States, <=50K
+15259,60, Private,114263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Hungary, >50K
+15260,59, Private,230899, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K
+15261,37, Private,271767, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, >50K
+15262,47, Federal-gov,20956, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+15263,49, Private,39986, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15264,73, Local-gov,45784, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Female,0,0,11, United-States, <=50K
+15265,58, Private,126991, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+15266,18, ?,234648, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,15, United-States, <=50K
+15267,35, Private,207676, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+15268,24, State-gov,413345, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K
+15269,62, Private,122033, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+15270,58, Private,169611, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+15271,51, Private,90363, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K
+15272,21, Private,372636, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+15273,30, Private,340917, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15274,27, Private,34273, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,36, Canada, <=50K
+15275,25, Private,161027, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K
+15276,31, Private,99844, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K
+15277,31, Private,207685, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,34, United-States, <=50K
+15278,44, Private,74680, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K
+15279,52, Self-emp-inc,334273, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K
+15280,30, Private,36069, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15281,29, Private,100563, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+15282,36, Private,174308, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15283,54, Self-emp-not-inc,109413, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+15284,59, Local-gov,212600, Some-college,10, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+15285,55, Private,271710, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15286,70, ?,230816, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+15287,22, Private,103277, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+15288,42, Private,318947, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15289,36, Private,187167, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+15290,32, Private,204742, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15291,44, Private,282062, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15292,22, ?,283510, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,45, United-States, <=50K
+15293,25, Private,280093, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+15294,31, Private,202729, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+15295,33, Private,205950, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15296,54, Self-emp-not-inc,392286, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+15297,42, Self-emp-not-inc,119207, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K
+15298,49, Private,195554, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K
+15299,30, Private,173005, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, <=50K
+15300,54, Private,192862, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+15301,39, Private,164712, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+15302,24, Private,195808, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+15303,21, Private,199444, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,44, United-States, <=50K
+15304,23, Private,126346, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+15305,54, Private,177675, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K
+15306,23, Private,50341, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15307,39, Private,237943, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1726,40, United-States, <=50K
+15308,23, Private,126945, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K
+15309,67, ?,92061, HS-grad,9, Widowed, ?, Other-relative, White, Female,0,0,8, United-States, <=50K
+15310,19, ?,109938, 11th,7, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K
+15311,41, Private,267252, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1902,40, United-States, >50K
+15312,32, Private,174704, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15313,57, Private,124771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15314,18, Private,200603, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K
+15315,60, State-gov,165827, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K
+15316,21, Private,301199, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+15317,53, Private,215790, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,22, United-States, <=50K
+15318,38, Private,87556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K
+15319,21, Private,111467, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15320,53, Private,82646, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K
+15321,24, Private,162282, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15322,36, Federal-gov,239074, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+15323,29, Private,214925, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+15324,23, Private,194247, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15325,44, Private,211531, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+15326,32, Local-gov,223267, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+15327,25, Private,201635, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+15328,41, Self-emp-not-inc,188738, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,27, United-States, <=50K
+15329,18, Private,133055, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+15330,57, Private,61761, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,45, United-States, <=50K
+15331,62, Private,103344, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,10520,0,50, United-States, >50K
+15332,29, Private,109814, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+15333,19, Private,225294, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+15334,35, Self-emp-not-inc,97277, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+15335,52, Private,146711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+15336,28, Private,286452, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+15337,38, Private,20308, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15338,42, Private,224203, Some-college,10, Widowed, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15339,41, Private,225978, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15340,23, Private,237720, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+15341,31, Private,156743, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,76, United-States, >50K
+15342,31, Private,509364, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, Mexico, <=50K
+15343,46, Private,144351, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15344,18, Private,375515, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+15345,57, Self-emp-not-inc,103529, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K
+15346,25, Private,199472, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+15347,32, Private,348152, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15348,27, Private,221166, 9th,5, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+15349,46, Federal-gov,341762, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+15350,17, ?,634226, 10th,6, Never-married, ?, Own-child, White, Female,0,0,17, United-States, <=50K
+15351,43, State-gov,159449, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+15352,56, Self-emp-not-inc,110238, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+15353,19, Private,458558, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K
+15354,20, Federal-gov,340217, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15355,42, Private,155106, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15356,90, Private,90523, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,99, United-States, <=50K
+15357,25, Private,122756, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+15358,27, Private,293828, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+15359,48, Private,299291, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K
+15360,48, Federal-gov,483261, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15361,27, Private,122038, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+15362,46, Private,160647, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K
+15363,32, Private,106541, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+15364,22, Private,126945, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+15365,24, Private,188505, Bachelors,13, Married-AF-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+15366,31, Private,377850, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+15367,20, Private,193586, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,18, United-States, <=50K
+15368,28, Self-emp-not-inc,315417, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,2176,0,40, United-States, <=50K
+15369,40, Self-emp-inc,57233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+15370,39, Private,195253, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+15371,54, Local-gov,172991, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15372,59, Local-gov,223215, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K
+15373,17, Private,95799, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K
+15374,25, Self-emp-not-inc,213385, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,80, United-States, <=50K
+15375,49, Local-gov,202467, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+15376,55, Self-emp-not-inc,145574, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,34095,0,60, United-States, <=50K
+15377,39, Private,147548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15378,67, Private,105216, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K
+15379,28, Private,77760, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+15380,35, Private,167990, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Canada, <=50K
+15381,44, Private,167005, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K
+15382,51, Private,108435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K
+15383,55, Private,56645, Bachelors,13, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+15384,45, Local-gov,304973, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,78, United-States, >50K
+15385,32, Private,42596, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+15386,45, Private,220641, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+15387,45, Private,101452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, England, >50K
+15388,35, Private,188888, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K
+15389,55, Local-gov,168790, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K
+15390,59, Private,98361, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15391,22, Private,401762, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K
+15392,46, Local-gov,160187, Masters,14, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K
+15393,23, Private,203715, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+15394,47, Private,144351, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+15395,34, Private,420749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Germany, <=50K
+15396,51, Private,106151, 11th,7, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+15397,40, Private,362482, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+15398,24, State-gov,38151, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K
+15399,20, Private,42706, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,72, United-States, <=50K
+15400,44, Private,126199, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,1831,0,50, United-States, <=50K
+15401,26, Private,165510, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+15402,35, Local-gov,216068, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+15403,23, Private,215624, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+15404,40, Private,239708, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15405,49, Local-gov,199378, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+15406,32, Private,230420, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15407,28, Private,395022, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+15408,51, Private,338620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+15409,62, Private,210142, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+15410,31, Private,446358, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+15411,47, Local-gov,352614, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+15412,36, Private,293528, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,3, United-States, <=50K
+15413,44, State-gov,55395, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15414,18, ?,128538, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+15415,46, Private,428405, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15416,32, Private,126838, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15417,51, Self-emp-not-inc,136836, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K
+15418,48, Private,105838, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+15419,28, Private,139903, Bachelors,13, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15420,57, Self-emp-inc,106103, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K
+15421,33, Private,186824, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15422,42, Private,350387, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,15, United-States, <=50K
+15423,17, Private,142912, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15424,63, ?,321403, 9th,5, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15425,31, Self-emp-inc,114937, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+15426,34, ?,286689, Masters,14, Never-married, ?, Not-in-family, White, Male,4650,0,30, United-States, <=50K
+15427,35, Private,147258, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1974,40, United-States, <=50K
+15428,20, Private,451996, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+15429,36, Private,149833, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+15430,24, Private,211968, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K
+15431,33, Private,287908, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K
+15432,36, Private,166549, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+15433,31, Private,25216, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+15434,29, Private,286452, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,3418,0,40, United-States, <=50K
+15435,47, Private,162034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+15436,30, Private,186932, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,75, United-States, >50K
+15437,34, Private,82938, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+15438,23, Private,122048, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+15439,33, Private,118710, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15440,59, Private,243226, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15441,67, Self-emp-not-inc,268514, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15442,26, Private,365289, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15443,27, Private,165365, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,2885,0,40, Laos, <=50K
+15444,20, Private,219266, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,36, ?, <=50K
+15445,24, Private,283757, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,39, United-States, <=50K
+15446,44, Federal-gov,206553, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15447,31, Private,113364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15448,28, Private,328949, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+15449,19, Private,83930, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+15450,31, Self-emp-not-inc,325355, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K
+15451,20, Private,131852, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15452,64, Private,119506, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+15453,47, State-gov,100818, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+15454,36, Private,162302, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15455,48, Private,182211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+15456,19, Self-emp-not-inc,194205, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K
+15457,22, Private,141040, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K
+15458,56, Private,346033, 9th,5, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15459,22, Private,177125, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15460,37, Private,241174, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, >50K
+15461,57, Local-gov,130532, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15462,38, Private,168496, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+15463,34, Private,362787, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15464,22, ?,244771, 11th,7, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15465,38, Federal-gov,48123, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15466,30, Self-emp-inc,173858, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1902,40, South, >50K
+15467,32, Private,207201, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+15468,29, Private,37933, 12th,8, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+15469,56, Private,33323, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15470,42, Private,175943, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,35, United-States, >50K
+15471,66, ?,306178, 10th,6, Divorced, ?, Not-in-family, White, Male,2050,0,40, United-States, <=50K
+15472,71, Local-gov,229110, HS-grad,9, Widowed, Exec-managerial, Other-relative, White, Female,0,0,33, United-States, <=50K
+15473,20, Private,113511, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+15474,25, Private,333677, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,36, United-States, <=50K
+15475,42, Private,236021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K
+15476,20, ?,371089, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+15477,61, Private,115023, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+15478,24, State-gov,133586, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+15479,51, Private,91137, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15480,27, Private,105598, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15481,41, Private,352812, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K
+15482,31, Private,204829, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15483,39, Private,247733, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,16, United-States, <=50K
+15484,36, ?,370585, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+15485,51, Self-emp-not-inc,103257, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+15486,52, Private,178915, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+15487,49, Private,54260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15488,43, Private,55395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15489,45, Private,233511, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K
+15490,49, Private,318331, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15491,19, Private,195985, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15492,44, Self-emp-not-inc,38876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+15493,67, Self-emp-inc,81413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15494,58, Private,172618, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+15495,36, Private,174717, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+15496,67, Private,224984, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,15831,0,16, Germany, >50K
+15497,61, Private,423297, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15498,55, Local-gov,88856, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15499,23, ?,169104, Assoc-acdm,12, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,16, Philippines, <=50K
+15500,35, Federal-gov,39207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15501,35, Private,340018, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K
+15502,20, State-gov,30796, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+15503,51, Private,155403, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+15504,23, Private,238092, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+15505,39, Private,225605, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, <=50K
+15506,36, Private,289148, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+15507,47, Private,339863, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+15508,27, Private,178778, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K
+15509,29, Private,568490, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15510,21, State-gov,129345, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15511,18, Private,447882, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15512,24, Private,314165, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K
+15513,39, Federal-gov,382859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15514,51, State-gov,82504, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+15515,47, Private,149700, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K
+15516,62, Private,209844, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+15517,49, Private,62546, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15518,20, Private,228686, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+15519,24, Private,326587, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15520,25, Private,202091, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+15521,54, Self-emp-not-inc,310774, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15522,25, Private,450246, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15523,20, ?,84375, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,45, United-States, <=50K
+15524,43, Private,142444, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, United-States, >50K
+15525,26, Private,82246, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,38, United-States, <=50K
+15526,24, Private,192766, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+15527,18, Private,53109, 11th,7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K
+15528,45, Self-emp-inc,121836, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, ?, >50K
+15529,45, Self-emp-not-inc,298130, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K
+15530,26, Private,135645, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15531,47, Private,265275, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15532,54, ?,410114, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+15533,21, Without-pay,232719, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+15534,29, Private,167716, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, <=50K
+15535,68, Private,107627, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K
+15536,21, Private,129674, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, Mexico, <=50K
+15537,28, Self-emp-inc,114053, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K
+15538,46, Private,202560, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+15539,35, Private,219902, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,48, United-States, <=50K
+15540,50, Self-emp-not-inc,192654, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K
+15541,48, Self-emp-inc,238966, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15542,17, ?,112942, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+15543,59, Private,153484, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K
+15544,23, Private,161874, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K
+15545,53, Private,260106, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+15546,50, Self-emp-inc,240374, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15547,32, ?,251612, 5th-6th,3, Never-married, ?, Unmarried, White, Female,0,0,45, Mexico, <=50K
+15548,53, Private,223696, 12th,8, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male,0,0,56, Dominican-Republic, <=50K
+15549,52, Private,176134, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K
+15550,38, Private,186959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+15551,43, Private,456236, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+15552,35, Private,98948, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,32, United-States, <=50K
+15553,41, Private,166662, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+15554,22, Private,448626, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+15555,39, Private,167482, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K
+15556,45, Private,189792, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15557,31, Private,399052, 9th,5, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,42, United-States, <=50K
+15558,40, Private,104196, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+15559,47, Self-emp-not-inc,152752, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+15560,53, Private,268545, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, <=50K
+15561,53, Self-emp-inc,148532, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+15562,33, Local-gov,281784, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,1564,52, United-States, >50K
+15563,24, Private,225724, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+15564,34, Private,200192, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15565,46, Self-emp-inc,170850, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+15566,29, Federal-gov,224858, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K
+15567,61, State-gov,159908, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, >50K
+15568,31, Private,115488, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+15569,29, Private,1268339, HS-grad,9, Married-spouse-absent, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K
+15570,42, Private,195755, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+15571,50, Federal-gov,186272, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+15572,34, Private,181388, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15573,39, Private,177181, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15574,74, Private,91488, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K
+15575,40, Private,230961, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15576,75, Self-emp-not-inc,309955, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2174,50, United-States, >50K
+15577,40, Local-gov,63042, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+15578,36, Private,29814, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15579,61, ?,116230, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+15580,42, ?,167678, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,22, Ecuador, <=50K
+15581,28, Private,191088, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+15582,19, Private,63814, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,18, United-States, <=50K
+15583,36, Private,285865, Assoc-acdm,12, Separated, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+15584,33, ?,160776, Assoc-voc,11, Divorced, ?, Not-in-family, White, Female,0,0,40, France, <=50K
+15585,50, Federal-gov,299831, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,880,40, United-States, <=50K
+15586,47, Private,162741, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024,0,40, United-States, >50K
+15587,48, Private,204990, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,33, Jamaica, <=50K
+15588,60, Self-emp-inc,171315, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15589,30, Private,296462, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+15590,32, Private,103860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+15591,45, Local-gov,159816, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,35, United-States, >50K
+15592,51, Private,96586, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+15593,53, Private,202720, 9th,5, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male,0,0,75, Haiti, <=50K
+15594,34, Private,202822, Masters,14, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, ?, <=50K
+15595,48, Self-emp-not-inc,379883, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, >50K
+15596,68, ?,123464, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K
+15597,32, Private,294121, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K
+15598,63, ?,179981, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K
+15599,31, Private,234387, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+15600,58, Self-emp-not-inc,154537, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15601,32, Private,125856, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+15602,32, Private,156015, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15603,40, Private,116632, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,80, United-States, <=50K
+15604,50, Private,124963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K
+15605,38, Self-emp-not-inc,115215, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15606,30, Private,254905, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15607,21, Private,195532, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+15608,28, Private,190067, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,1564,40, United-States, >50K
+15609,63, Private,181828, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, ?, <=50K
+15610,32, Private,203674, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,880,36, United-States, <=50K
+15611,25, Private,322585, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15612,59, Private,246262, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+15613,22, Local-gov,211129, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, ?, <=50K
+15614,49, Private,139268, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15615,36, Private,188540, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15616,31, ?,251167, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,30, Mexico, <=50K
+15617,46, Private,94809, Some-college,10, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,30, United-States, <=50K
+15618,37, Local-gov,265038, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+15619,48, Private,182566, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+15620,43, Private,220109, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,44, United-States, <=50K
+15621,41, Private,208470, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15622,54, Private,28683, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, United-States, <=50K
+15623,36, Private,233571, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,4, United-States, <=50K
+15624,29, Private,24562, Bachelors,13, Divorced, Other-service, Unmarried, Other, Female,0,0,40, United-States, <=50K
+15625,66, Local-gov,36364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2267,40, United-States, <=50K
+15626,59, Private,168569, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15627,62, Private,167098, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15628,29, Private,271579, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+15629,28, Private,191355, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+15630,27, Private,31659, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,60, United-States, >50K
+15631,42, State-gov,83411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15632,60, Private,40856, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K
+15633,58, Private,115605, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+15634,27, Private,132326, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15635,45, Private,220213, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15636,50, Private,172511, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15637,43, Private,156745, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+15638,39, Private,218916, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15639,21, Private,306114, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+15640,24, Private,196675, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,70, United-States, <=50K
+15641,59, Self-emp-not-inc,73411, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+15642,36, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+15643,72, ?,75890, Some-college,10, Widowed, ?, Unmarried, Asian-Pac-Islander, Female,0,0,4, United-States, <=50K
+15644,35, Private,320451, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, Hong, >50K
+15645,33, Private,172498, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+15646,30, Private,131588, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+15647,40, Private,124520, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, >50K
+15648,26, Self-emp-not-inc,93806, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+15649,37, Federal-gov,173192, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15650,68, Self-emp-not-inc,198554, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15651,45, Private,26502, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K
+15652,56, Private,225267, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+15653,36, Private,150042, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15654,50, Private,211319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+15655,38, Private,208358, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15656,29, Private,58115, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,41, United-States, <=50K
+15657,28, Private,219267, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K
+15658,39, Federal-gov,129573, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+15659,26, Local-gov,27834, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15660,52, Self-emp-inc,415037, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K
+15661,52, Private,191529, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15662,84, Private,132806, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,13, United-States, <=50K
+15663,33, Federal-gov,137059, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K
+15664,46, Federal-gov,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+15665,30, Private,164309, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15666,38, Private,40955, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, >50K
+15667,66, Private,141085, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,8, United-States, <=50K
+15668,62, Federal-gov,258124, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K
+15669,31, Private,467579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,40, United-States, >50K
+15670,31, Private,145139, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15671,39, Private,231141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K
+15672,60, Self-emp-not-inc,146674, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,50, ?, <=50K
+15673,27, Private,242207, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+15674,37, ?,102541, Assoc-voc,11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+15675,38, Private,135416, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15676,25, Private,267284, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+15677,48, Private,130812, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+15678,42, Self-emp-not-inc,183765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K
+15679,45, Local-gov,188823, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+15680,22, Private,200593, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+15681,50, Private,124094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K
+15682,21, Private,50411, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15683,44, Local-gov,101689, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+15684,60, Self-emp-not-inc,73091, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,1876,50, United-States, <=50K
+15685,21, ?,107801, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K
+15686,51, Private,176969, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+15687,30, Private,342709, HS-grad,9, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+15688,46, Self-emp-not-inc,368561, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15689,43, Private,26915, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+15690,57, Private,157974, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,48, United-States, <=50K
+15691,48, Private,109832, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+15692,39, Self-emp-inc,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K
+15693,68, Self-emp-not-inc,195881, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414,0,40, United-States, <=50K
+15694,33, Private,183000, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K
+15695,22, Without-pay,302347, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,4416,0,40, United-States, <=50K
+15696,18, ?,151463, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,7, United-States, <=50K
+15697,28, Private,217200, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15698,32, Private,31740, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+15699,56, Private,35520, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K
+15700,36, Private,369843, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+15701,34, Private,199227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+15702,18, Private,144711, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1721,40, United-States, <=50K
+15703,39, Private,382802, 10th,6, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0,1590,40, United-States, <=50K
+15704,25, Private,254781, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15705,27, Self-emp-not-inc,70657, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+15706,56, Self-emp-not-inc,50791, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,1876,60, United-States, <=50K
+15707,33, Self-emp-not-inc,222162, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15708,49, Self-emp-inc,94606, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K
+15709,44, Self-emp-not-inc,104196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, <=50K
+15710,30, Self-emp-not-inc,455995, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K
+15711,27, Private,166210, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15712,25, Private,198986, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+15713,30, Self-emp-inc,292465, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15714,38, Private,99388, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K
+15715,38, Private,698363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15716,46, Private,154940, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+15717,37, Private,401998, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K
+15718,62, Private,162825, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+15719,55, Self-emp-not-inc,271795, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+15720,47, Self-emp-not-inc,134671, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15721,45, Private,87583, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,14, United-States, <=50K
+15722,50, Private,248619, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15723,36, Private,130200, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+15724,45, Private,178922, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15725,23, Private,51985, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,38, United-States, <=50K
+15726,37, Private,125933, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+15727,38, State-gov,104280, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+15728,27, Private,617860, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+15729,29, Private,122112, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+15730,45, Local-gov,181758, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15731,41, Self-emp-inc,223671, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K
+15732,38, Self-emp-not-inc,140117, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15733,27, Private,107458, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15734,51, Federal-gov,215948, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, ?, <=50K
+15735,44, Federal-gov,306440, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15736,33, Federal-gov,615893, Masters,14, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Nicaragua, <=50K
+15737,28, Self-emp-inc,201186, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,99999,0,40, United-States, >50K
+15738,32, Private,37210, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+15739,43, Private,196084, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+15740,45, Local-gov,166181, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+15741,52, Federal-gov,291096, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,40, United-States, >50K
+15742,24, Private,232841, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+15743,19, ?,131982, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+15744,47, Private,408788, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15745,53, Self-emp-inc,42924, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K
+15746,31, Private,181091, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15747,30, Private,200246, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15748,56, Private,282023, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+15749,49, Federal-gov,128990, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15750,38, Private,106838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15751,19, Private,144750, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K
+15752,39, Private,108140, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15753,38, Private,103323, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+15754,47, Private,268022, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K
+15755,58, Private,197114, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15756,27, Private,191628, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,2174,0,40, United-States, <=50K
+15757,59, Local-gov,176118, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+15758,24, Private,42401, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K
+15759,42, Private,322385, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2407,0,40, United-States, <=50K
+15760,53, State-gov,123011, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+15761,35, Private,210945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+15762,36, Local-gov,130620, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K
+15763,26, Private,248990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+15764,33, Private,132705, 9th,5, Separated, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K
+15765,29, Private,94892, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+15766,43, Private,141858, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+15767,35, Private,81232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+15768,48, Private,114561, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,36, Philippines, >50K
+15769,45, Local-gov,191776, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15770,43, Private,128354, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15771,27, Private,37088, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+15772,21, Private,414812, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15773,63, ?,156799, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K
+15774,39, Private,33983, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K
+15775,52, Self-emp-not-inc,194995, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, United-States, >50K
+15776,41, Self-emp-inc,73431, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+15777,48, Private,155664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,70, United-States, >50K
+15778,27, ?,182386, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,35, United-States, <=50K
+15779,53, State-gov,281074, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,1092,40, United-States, <=50K
+15780,33, Local-gov,248346, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+15781,37, Private,167482, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+15782,18, ?,171088, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+15783,43, Federal-gov,211763, Doctorate,16, Separated, Prof-specialty, Unmarried, Black, Female,0,0,24, United-States, >50K
+15784,20, Private,122166, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15785,47, Private,370119, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+15786,36, Self-emp-not-inc,138940, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+15787,41, Private,174575, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K
+15788,67, Private,101132, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,1797,0,40, United-States, <=50K
+15789,38, Private,292307, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, Dominican-Republic, <=50K
+15790,47, Self-emp-not-inc,248776, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,25, United-States, <=50K
+15791,39, Private,314007, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+15792,34, Self-emp-not-inc,213226, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,35, ?, <=50K
+15793,36, Private,76845, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K
+15794,24, Private,148320, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+15795,50, Self-emp-not-inc,54261, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K
+15796,21, Private,223352, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,1055,0,30, United-States, <=50K
+15797,21, Private,211013, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,50, Mexico, <=50K
+15798,40, Private,209833, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15799,19, Private,356272, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+15800,38, Private,143538, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15801,34, Private,242960, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+15802,44, Local-gov,263871, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15803,20, Private,151105, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+15804,44, Private,207685, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,55, England, >50K
+15805,49, Local-gov,46537, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,594,0,10, United-States, <=50K
+15806,45, Self-emp-inc,84324, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+15807,24, Private,224716, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+15808,34, Private,186269, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+15809,58, Self-emp-not-inc,143731, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K
+15810,39, Private,236391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+15811,22, Private,54560, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15812,38, Private,266325, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K
+15813,32, Federal-gov,42900, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+15814,45, State-gov,183710, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K
+15815,23, Private,278254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,45, United-States, <=50K
+15816,35, Private,119992, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+15817,52, Private,284329, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+15818,55, Private,368727, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15819,23, Private,353696, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+15820,22, Private,31387, Bachelors,13, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,2885,0,25, United-States, <=50K
+15821,27, Private,110931, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+15822,24, Private,169532, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+15823,21, Private,285522, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15824,49, Private,198774, Bachelors,13, Divorced, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K
+15825,32, Private,123291, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15826,64, Private,146110, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K
+15827,37, Self-emp-not-inc,29814, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K
+15828,61, Private,195595, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+15829,44, Private,92649, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K
+15830,53, Private,290688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+15831,43, Private,427382, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+15832,60, State-gov,234854, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+15833,23, Private,276568, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+15834,25, Private,250038, Masters,14, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+15835,29, Private,150861, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15836,51, Private,87205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, England, <=50K
+15837,47, Private,343579, 1st-4th,2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,12, Mexico, <=50K
+15838,20, Private,94401, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+15839,25, Private,120238, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, Poland, >50K
+15840,27, Private,205440, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15841,23, Private,198996, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15842,18, Private,294253, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K
+15843,23, Private,256628, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K
+15844,59, Self-emp-not-inc,223131, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+15845,46, Private,207301, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K
+15846,66, ?,270460, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15847,46, Local-gov,125457, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,38, United-States, >50K
+15848,36, Local-gov,212856, 11th,7, Never-married, Other-service, Unmarried, White, Female,0,0,23, United-States, <=50K
+15849,44, Private,197389, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+15850,17, Private,73338, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+15851,27, Private,68037, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15852,32, Private,185027, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15853,53, Private,107123, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15854,22, Private,109482, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,98, United-States, <=50K
+15855,30, Private,174543, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+15856,47, Self-emp-not-inc,208407, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,30, United-States, <=50K
+15857,68, Self-emp-not-inc,211584, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15858,39, Private,108540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15859,22, Private,202416, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15860,62, ?,160155, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,6418,0,40, United-States, >50K
+15861,20, Private,176178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+15862,21, Private,265148, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,38, Jamaica, <=50K
+15863,34, Private,220631, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,50, ?, <=50K
+15864,30, Self-emp-not-inc,303692, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K
+15865,25, Private,135845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15866,23, State-gov,199915, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K
+15867,40, State-gov,150533, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K
+15868,26, Federal-gov,85482, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+15869,57, Self-emp-not-inc,24473, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15870,36, Private,272944, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+15871,43, ?,82077, Some-college,10, Divorced, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+15872,49, State-gov,194895, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15873,58, Private,314153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15874,32, Private,176253, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+15875,59, Private,113959, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+15876,42, State-gov,167581, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+15877,37, Private,79586, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Iran, <=50K
+15878,40, Private,166662, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+15879,47, Private,72896, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15880,56, Private,345730, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+15881,30, Private,302473, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15882,42, Private,42346, HS-grad,9, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+15883,21, Private,243921, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15884,21, Private,131620, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K
+15885,47, Private,158924, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+15886,22, Self-emp-not-inc,32921, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+15887,35, Private,252897, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,14344,0,40, United-States, >50K
+15888,41, Private,155657, 11th,7, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,40, United-States, <=50K
+15889,43, Federal-gov,155106, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,53, United-States, <=50K
+15890,60, Private,82775, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+15891,73, Private,26248, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+15892,90, Private,88991, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, England, >50K
+15893,62, Federal-gov,125155, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+15894,28, Private,218039, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15895,45, Private,53524, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15896,19, Private,259352, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+15897,30, Private,296453, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+15898,19, Private,278915, 12th,8, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,52, United-States, <=50K
+15899,23, Private,565313, Some-college,10, Never-married, Other-service, Own-child, Black, Male,2202,0,80, United-States, <=50K
+15900,22, Federal-gov,274103, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+15901,19, Private,271118, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,28, United-States, <=50K
+15902,45, Federal-gov,207107, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0,2080,40, Philippines, <=50K
+15903,26, Local-gov,138597, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+15904,42, Local-gov,180985, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,99999,0,40, United-States, >50K
+15905,62, Self-emp-not-inc,159939, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+15906,61, Private,110920, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+15907,34, Private,34862, Bachelors,13, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,1564,60, United-States, >50K
+15908,22, Local-gov,163205, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,53, United-States, <=50K
+15909,56, Private,110003, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15910,32, Private,229051, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+15911,24, ?,144898, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+15912,26, Private,211596, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15913,32, Private,48458, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,1669,45, United-States, <=50K
+15914,58, Private,201393, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+15915,25, Self-emp-not-inc,136450, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+15916,23, Private,193586, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+15917,23, Private,91189, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+15918,54, Private,227832, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+15919,28, Private,271936, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15920,35, Private,61343, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+15921,30, Private,157778, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K
+15922,23, Private,201680, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15923,42, Private,228320, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+15924,72, Private,33404, 10th,6, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15925,21, Private,103205, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15926,37, Private,279029, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15927,54, Private,213092, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15928,58, Private,126104, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,1980,45, United-States, <=50K
+15929,32, Private,119124, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+15930,65, Private,31924, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K
+15931,22, Private,253799, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, ?, <=50K
+15932,52, Private,266138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+15933,65, Private,185001, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15934,33, Self-emp-not-inc,34102, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15935,35, Private,115214, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,6497,0,65, United-States, <=50K
+15936,27, Private,289484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+15937,34, State-gov,287908, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,42, United-States, <=50K
+15938,53, Self-emp-not-inc,158284, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+15939,23, Private,60668, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K
+15940,43, State-gov,222978, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+15941,58, Private,244605, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908,0,40, United-States, <=50K
+15942,38, Private,150601, 10th,6, Separated, Adm-clerical, Unmarried, White, Male,0,3770,40, United-States, <=50K
+15943,26, Private,199143, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+15944,60, Private,131681, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+15945,28, Private,346406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1672,50, United-States, <=50K
+15946,33, Federal-gov,391122, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+15947,29, Local-gov,280344, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+15948,54, State-gov,188809, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+15949,41, Private,277488, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, United-States, <=50K
+15950,63, Self-emp-not-inc,181561, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+15951,31, Private,158545, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,27, United-States, <=50K
+15952,23, Private,313573, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,25, United-States, <=50K
+15953,31, Private,591711, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,40, ?, <=50K
+15954,41, Private,268183, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+15955,51, Private,392286, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+15956,59, Private,233312, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+15957,23, Private,520231, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+15958,24, Self-emp-not-inc,186831, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+15959,67, Self-emp-not-inc,141085, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+15960,65, ?,198019, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+15961,47, Local-gov,198660, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+15962,21, Private,409230, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+15963,38, Private,376025, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+15964,55, Private,80167, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+15965,39, Private,99357, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,1506,0,40, United-States, <=50K
+15966,24, Private,82847, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, Portugal, >50K
+15967,24, Private,22201, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K
+15968,38, Private,275223, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+15969,19, Private,117595, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+15970,32, Private,207668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+15971,63, Self-emp-not-inc,179981, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+15972,18, Private,192583, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+15973,36, Private,66304, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+15974,41, Private,200671, Bachelors,13, Divorced, Transport-moving, Own-child, Black, Male,6497,0,40, United-States, <=50K
+15975,57, Private,32365, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+15976,48, Private,28497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15977,44, Private,222978, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,1504,40, United-States, <=50K
+15978,25, Private,160261, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+15979,48, Private,120724, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+15980,20, Private,91733, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+15981,74, Self-emp-not-inc,146929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+15982,44, Private,205706, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+15983,26, Private,181666, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+15984,54, Local-gov,279452, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+15985,39, Private,207568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K
+15986,38, Private,22494, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,7443,0,40, United-States, <=50K
+15987,18, Private,210026, 10th,6, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+15988,32, Local-gov,190889, Masters,14, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, ?, <=50K
+15989,24, Private,109869, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+15990,19, Self-emp-not-inc,285263, 9th,5, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+15991,28, Private,192588, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+15992,28, Private,232945, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Other, Male,0,0,30, United-States, <=50K
+15993,49, Local-gov,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15994,50, Private,305147, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+15995,63, Private,188914, HS-grad,9, Widowed, Machine-op-inspct, Other-relative, Black, Female,0,0,40, Haiti, <=50K
+15996,58, Self-emp-not-inc,141165, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+15997,68, Self-emp-inc,136218, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K
+15998,41, Federal-gov,371382, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+15999,21, ?,199177, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16000,27, Private,221366, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K
+16001,24, Private,403671, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16002,50, Private,193871, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+16003,47, Private,306183, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K
+16004,64, ?,159938, HS-grad,9, Divorced, ?, Not-in-family, White, Male,8614,0,40, United-States, >50K
+16005,54, Private,124194, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+16006,28, Private,69847, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K
+16007,26, State-gov,169323, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16008,35, State-gov,172327, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K
+16009,48, Private,118889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2885,0,15, United-States, <=50K
+16010,50, Private,166220, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,3942,0,40, United-States, <=50K
+16011,39, Private,186420, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16012,46, Private,192779, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K
+16013,41, Private,105616, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,48, United-States, <=50K
+16014,24, Private,141113, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,2580,0,40, United-States, <=50K
+16015,57, Private,160275, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16016,32, Private,164507, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+16017,41, Private,207578, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, India, >50K
+16018,55, Private,314592, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16019,41, ?,254630, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,80, United-States, <=50K
+16020,69, Private,159522, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, Black, Female,2964,0,40, United-States, <=50K
+16021,22, Private,112130, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+16022,45, Private,192835, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3942,0,40, United-States, <=50K
+16023,33, Private,206280, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+16024,57, Private,308861, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16025,38, Self-emp-not-inc,93206, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1902,65, United-States, >50K
+16026,40, Private,206066, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+16027,48, Self-emp-not-inc,309895, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+16028,38, Local-gov,216129, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K
+16029,26, State-gov,287420, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+16030,24, Private,163595, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16031,35, Private,170092, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+16032,37, Private,287031, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,75, United-States, >50K
+16033,42, Private,59474, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16034,37, Private,99151, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+16035,37, Private,206888, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+16036,28, Private,177119, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,80, ?, <=50K
+16037,22, Private,173736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16038,24, Private,182163, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K
+16039,45, Local-gov,311080, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+16040,29, Self-emp-not-inc,389857, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+16041,23, Private,297152, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K
+16042,24, Federal-gov,130534, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16043,25, Private,137301, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+16044,58, Private,316235, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,32, United-States, <=50K
+16045,28, Self-emp-inc,32922, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+16046,58, Private,118303, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K
+16047,18, Private,188241, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+16048,59, Private,236731, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+16049,39, Private,209397, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16050,53, Self-emp-inc,290640, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+16051,54, Private,221915, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Female,0,0,65, United-States, <=50K
+16052,51, Private,175246, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+16053,59, Private,159724, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,55, United-States, >50K
+16054,42, State-gov,160369, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+16055,36, Private,461337, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+16056,37, Private,187311, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+16057,32, Private,29312, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+16058,38, Self-emp-not-inc,197365, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+16059,19, Private,301747, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+16060,55, Local-gov,135439, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K
+16061,30, Private,340917, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16062,27, Private,155057, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+16063,65, ?,200749, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+16064,44, Private,323627, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,5, United-States, <=50K
+16065,23, ?,154921, 5th-6th,3, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16066,32, Private,131425, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+16067,60, Private,184242, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+16068,28, Private,149769, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K
+16069,44, Private,124924, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K
+16070,29, Private,253003, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,16, United-States, <=50K
+16071,57, State-gov,250976, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16072,41, Private,104196, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+16073,34, Self-emp-not-inc,250182, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+16074,44, Private,188331, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K
+16075,44, Private,187322, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16076,57, Private,130714, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,22, United-States, <=50K
+16077,37, Private,40955, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+16078,35, Private,107125, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, >50K
+16079,51, Private,145714, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, ?, >50K
+16080,27, Private,133937, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16081,41, State-gov,293485, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103,0,40, United-States, >50K
+16082,28, ?,203260, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,8, United-States, <=50K
+16083,37, Self-emp-not-inc,143368, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+16084,18, Private,51789, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K
+16085,24, State-gov,211049, 7th-8th,4, Never-married, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K
+16086,53, Private,81794, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+16087,40, Private,139193, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1980,48, United-States, <=50K
+16088,54, Private,150999, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K
+16089,22, Private,332657, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16090,44, Private,240043, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K
+16091,43, Private,186188, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, Iran, <=50K
+16092,58, State-gov,223400, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K
+16093,59, Local-gov,102442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+16094,31, Private,236599, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+16095,35, Private,283237, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16096,17, Private,150106, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+16097,45, Private,102076, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+16098,40, Private,374764, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16099,35, Private,32528, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+16100,25, Federal-gov,50053, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16101,58, Private,212864, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16102,39, Private,30673, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, >50K
+16103,69, ?,248248, 1st-4th,2, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,34, Philippines, <=50K
+16104,23, Private,419554, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, <=50K
+16105,32, State-gov,177216, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16106,48, Private,118158, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K
+16107,41, Private,116391, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Germany, <=50K
+16108,74, Private,194312, 9th,5, Widowed, Craft-repair, Not-in-family, White, Male,0,0,10, ?, <=50K
+16109,43, Private,111895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+16110,18, Private,193290, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,20, United-States, <=50K
+16111,24, Federal-gov,287988, Bachelors,13, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16112,58, Private,147653, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,32, United-States, <=50K
+16113,54, Private,117674, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16114,60, Private,187458, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16115,28, Private,410351, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+16116,41, Private,207578, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+16117,62, ?,55621, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,35, United-States, >50K
+16118,27, State-gov,271243, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, Jamaica, <=50K
+16119,30, Private,188798, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+16120,63, Local-gov,168656, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,35, Outlying-US(Guam-USVI-etc), <=50K
+16121,33, Private,460408, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,3325,0,50, United-States, <=50K
+16122,34, Private,241885, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+16123,20, ?,133061, 9th,5, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+16124,51, Private,194097, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+16125,21, Private,219137, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K
+16126,50, Private,31621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16127,43, Private,207685, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16128,27, Private,57052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K
+16129,19, Private,109854, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+16130,20, ?,369678, HS-grad,9, Never-married, ?, Not-in-family, Other, Male,0,0,43, United-States, <=50K
+16131,17, Private,53611, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K
+16132,47, Private,344916, Assoc-acdm,12, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+16133,25, Local-gov,198813, Bachelors,13, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K
+16134,71, Private,180733, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+16135,21, Private,188073, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+16136,69, ?,159077, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K
+16137,48, Private,174829, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16138,57, Private,142791, 7th-8th,4, Widowed, Sales, Other-relative, White, Female,0,1602,3, United-States, <=50K
+16139,58, Self-emp-not-inc,43221, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,40, United-States, >50K
+16140,34, Private,188736, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female,0,0,20, Columbia, <=50K
+16141,33, Local-gov,222654, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,66, ?, <=50K
+16142,56, Private,251836, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+16143,40, Federal-gov,112388, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16144,28, Private,209641, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+16145,42, Private,313945, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Ecuador, <=50K
+16146,19, ?,134974, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+16147,41, Private,152742, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,3325,0,40, United-States, <=50K
+16148,28, Self-emp-inc,153291, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+16149,40, Private,353432, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K
+16150,23, Private,96635, Some-college,10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K
+16151,46, ?,202560, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K
+16152,39, Private,150057, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+16153,39, Private,114844, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K
+16154,45, Private,132847, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16155,21, ?,41356, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+16156,50, Self-emp-not-inc,93705, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16157,33, Private,309350, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16158,34, Private,123084, 11th,7, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+16159,55, Private,174662, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K
+16160,62, Federal-gov,177295, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16161,31, Private,211880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+16162,35, Self-emp-not-inc,454915, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16163,30, Private,232475, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16164,57, Self-emp-inc,244605, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+16165,50, Private,150876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,55, United-States, >50K
+16166,51, Private,257337, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+16167,47, Private,329144, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K
+16168,37, Private,116960, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+16169,58, Private,267663, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K
+16170,39, Private,47871, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, >50K
+16171,34, Private,295922, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, England, >50K
+16172,45, Private,175625, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+16173,19, ?,129586, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+16174,42, Private,190179, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K
+16175,40, Private,168071, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+16176,39, Self-emp-not-inc,202027, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+16177,36, Private,202662, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16178,56, Private,101436, HS-grad,9, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K
+16179,19, ?,119234, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,15, United-States, <=50K
+16180,37, Private,360743, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K
+16181,60, Local-gov,93272, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16182,56, Private,145574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16183,51, Private,101722, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3908,0,47, United-States, <=50K
+16184,34, Private,135785, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+16185,23, ?,218415, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+16186,19, Private,127709, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K
+16187,37, Federal-gov,448337, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16188,58, Private,310320, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16189,33, Private,251521, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+16190,39, Private,255503, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+16191,36, Private,116608, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K
+16192,26, Private,71009, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+16193,22, Private,174975, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,36, United-States, <=50K
+16194,32, Private,108023, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16195,17, Private,204018, 11th,7, Never-married, Sales, Unmarried, White, Male,0,0,15, United-States, <=50K
+16196,57, ?,366563, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16197,68, Private,121846, 7th-8th,4, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+16198,70, Private,278139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3432,0,40, United-States, <=50K
+16199,30, Private,114691, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+16200,19, State-gov,536725, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,15, Japan, <=50K
+16201,51, Private,94432, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+16202,19, Private,286002, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,30, Nicaragua, <=50K
+16203,47, Private,101684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16204,41, Private,352834, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K
+16205,36, Private,99146, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K
+16206,30, Private,231413, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16207,26, Private,158846, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+16208,41, Local-gov,190786, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+16209,25, Private,306513, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+16210,62, Private,152148, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16211,23, Private,309580, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16212,26, ?,130832, Bachelors,13, Never-married, ?, Unmarried, White, Female,0,0,10, United-States, <=50K
+16213,25, Private,194897, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,6849,0,40, United-States, <=50K
+16214,30, Private,130078, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+16215,48, Private,39986, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16216,20, Private,379198, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,40, Mexico, <=50K
+16217,51, Private,189762, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, >50K
+16218,19, Private,178147, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+16219,31, Private,332379, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16220,36, Private,175759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+16221,21, ?,262062, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+16222,40, Private,275446, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+16223,30, Self-emp-not-inc,278522, 11th,7, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K
+16224,28, Self-emp-not-inc,54683, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+16225,57, Private,136107, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+16226,18, Private,205894, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+16227,54, Private,210736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16228,32, Private,166634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+16229,52, Private,185283, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16230,27, Private,180553, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+16231,45, Private,199058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, ?, <=50K
+16232,18, Private,145005, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+16233,37, Self-emp-not-inc,184655, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+16234,52, Private,358554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+16235,59, Private,307423, 9th,5, Never-married, Other-service, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+16236,27, Private,472070, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16237,43, Federal-gov,115562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16238,56, Private,32446, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16239,44, Self-emp-not-inc,33121, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+16240,37, Private,183345, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16241,28, Private,119793, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,50, United-States, >50K
+16242,48, Self-emp-not-inc,97883, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K
+16243,58, Self-emp-not-inc,31732, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+16244,29, Private,206250, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+16245,37, Private,103323, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+16246,35, Self-emp-inc,135436, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+16247,36, Private,376455, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+16248,52, Private,160703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K
+16249,30, Private,131699, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16250,22, Private,243842, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+16251,55, Self-emp-not-inc,349910, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+16252,61, Private,170262, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,38, United-States, >50K
+16253,33, Private,184306, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K
+16254,46, Private,224202, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+16255,64, Private,151540, 11th,7, Widowed, Tech-support, Unmarried, White, Female,0,0,16, United-States, <=50K
+16256,28, Private,231197, 10th,6, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K
+16257,19, Private,279968, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K
+16258,36, Private,162651, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+16259,43, Self-emp-not-inc,130126, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16260,39, Self-emp-not-inc,160120, Doctorate,16, Divorced, Adm-clerical, Other-relative, Other, Male,0,0,40, ?, <=50K
+16261,56, Private,161662, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+16262,24, Local-gov,201664, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+16263,40, Private,137142, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+16264,45, Self-emp-inc,122206, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+16265,56, Local-gov,183169, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16266,46, Private,126513, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, ?, <=50K
+16267,35, Federal-gov,185053, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+16268,36, Self-emp-not-inc,408427, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+16269,50, Self-emp-not-inc,198581, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+16270,61, Private,199198, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,21, United-States, <=50K
+16271,31, Private,184306, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,1980,60, United-States, <=50K
+16272,63, Private,172740, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+16273,41, Private,205153, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16274,48, Private,164964, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16275,45, Private,162606, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+16276,24, Private,179627, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16277,34, Private,103408, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Germany, >50K
+16278,27, Private,36440, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16279,26, Private,57512, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K
+16280,27, Private,187981, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+16281,55, Private,393768, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16282,38, Private,108726, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16283,31, Private,180551, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+16284,51, Self-emp-not-inc,176240, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+16285,56, Private,70720, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16286,39, Private,35890, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16287,50, Private,283676, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16288,34, Local-gov,105540, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,40, United-States, <=50K
+16289,44, Private,408717, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,3674,0,50, United-States, <=50K
+16290,21, Private,57916, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+16291,37, Private,177974, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, <=50K
+16292,34, ?,177304, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+16293,18, Private,115839, 12th,8, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+16294,34, ?,205256, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2885,0,80, United-States, <=50K
+16295,38, Private,117802, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, >50K
+16296,19, Private,211355, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K
+16297,46, Private,173243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16298,19, Private,343200, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+16299,22, Private,401690, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, Mexico, <=50K
+16300,38, Private,196123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+16301,33, Private,168981, Masters,14, Divorced, Exec-managerial, Own-child, White, Female,14084,0,50, United-States, >50K
+16302,83, Self-emp-not-inc,213866, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,8, United-States, <=50K
+16303,34, Private,55176, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+16304,38, Private,153976, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16305,33, Private,119176, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16306,27, Private,169117, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,1887,40, United-States, >50K
+16307,38, Private,156550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+16308,25, Private,109609, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+16309,38, Private,26698, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+16310,52, Private,236497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+16311,33, State-gov,306309, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16312,17, Private,242773, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+16313,28, Private,124680, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,6849,0,60, United-States, <=50K
+16314,52, Local-gov,43909, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16315,34, Private,112820, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,2463,0,40, United-States, <=50K
+16316,25, Private,148300, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+16317,17, Private,133449, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,26, United-States, <=50K
+16318,22, Private,263670, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,80, United-States, <=50K
+16319,22, Private,276494, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+16320,46, Private,190115, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+16321,58, Private,317479, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+16322,39, Private,151248, Some-college,10, Divorced, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K
+16323,59, Local-gov,130532, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Poland, <=50K
+16324,61, Private,160062, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16325,32, Private,299635, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+16326,50, Private,171225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+16327,51, Private,33304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16328,43, Private,95634, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,45, ?, <=50K
+16329,20, Private,243878, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+16330,38, Local-gov,181721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+16331,44, Federal-gov,201435, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+16332,28, Private,334032, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16333,50, Private,220019, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+16334,53, Private,71772, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16335,42, Self-emp-not-inc,27661, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+16336,47, Private,191411, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K
+16337,39, Private,123945, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+16338,38, Self-emp-not-inc,37778, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+16339,34, State-gov,171216, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K
+16340,40, Private,93955, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+16341,63, Private,163809, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+16342,53, Private,346754, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+16343,43, Private,188436, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K
+16344,28, Private,72443, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1669,60, United-States, <=50K
+16345,68, Private,186350, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,10, United-States, >50K
+16346,22, ?,214238, 7th-8th,4, Never-married, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K
+16347,46, State-gov,394860, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K
+16348,57, Private,262642, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+16349,38, Private,125550, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+16350,66, Private,192504, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+16351,29, Private,131310, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+16352,54, Private,249322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+16353,38, Private,172755, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16354,35, Private,209993, 11th,7, Separated, Priv-house-serv, Unmarried, White, Female,0,0,8, Mexico, <=50K
+16355,30, Private,166961, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,37, United-States, <=50K
+16356,39, Private,315291, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16357,31, Private,284703, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+16358,50, Private,166565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+16359,30, Self-emp-not-inc,173854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+16360,25, Private,189219, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+16361,24, Private,210781, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, France, <=50K
+16362,59, Local-gov,171328, HS-grad,9, Separated, Protective-serv, Other-relative, Black, Female,0,2339,40, United-States, <=50K
+16363,45, Private,199832, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K
+16364,64, Private,251292, 5th-6th,3, Separated, Other-service, Other-relative, White, Female,0,0,20, Cuba, <=50K
+16365,61, Private,122246, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+16366,42, Private,190767, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+16367,28, Private,278736, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+16368,53, Private,124963, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16369,33, Self-emp-not-inc,167476, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,7, United-States, <=50K
+16370,34, Local-gov,246104, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+16371,41, Private,171615, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K
+16372,67, Private,264095, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,9386,0,24, Cuba, >50K
+16373,46, Private,177114, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,27, United-States, <=50K
+16374,32, Private,146154, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+16375,41, Private,198196, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+16376,30, Private,79712, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, United-States, <=50K
+16377,54, Self-emp-not-inc,154785, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16378,33, Private,182423, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+16379,20, ?,347292, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K
+16380,34, Private,118584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16381,20, Private,219835, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K
+16382,17, ?,148769, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+16383,45, Private,197418, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K
+16384,21, Private,253190, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+16385,25, Private,192273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+16386,38, Private,129573, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K
+16387,17, Private,173807, 11th,7, Never-married, Craft-repair, Own-child, White, Female,0,0,15, United-States, <=50K
+16388,35, Private,217893, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+16389,38, Private,102938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16390,48, Local-gov,407495, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K
+16391,25, Private,50053, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Japan, <=50K
+16392,57, Private,233382, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Cuba, <=50K
+16393,32, Private,270968, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+16394,39, Local-gov,272166, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+16395,23, Private,199915, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+16396,21, Private,305781, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K
+16397,47, Private,107682, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+16398,25, Private,188507, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Dominican-Republic, <=50K
+16399,18, ?,28311, 11th,7, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+16400,41, Federal-gov,197069, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,4650,0,40, United-States, <=50K
+16401,19, Private,177839, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+16402,24, Private,77665, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K
+16403,57, Private,127728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+16404,51, ?,172175, Doctorate,16, Never-married, ?, Not-in-family, White, Male,0,2824,40, United-States, >50K
+16405,32, Private,106742, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+16406,28, Self-emp-not-inc,192838, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+16407,40, Private,79531, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K
+16408,21, State-gov,337766, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+16409,45, Self-emp-not-inc,33234, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+16410,17, ?,34088, 12th,8, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+16411,55, Private,176904, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+16412,42, Private,172148, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+16413,49, Private,199058, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+16414,38, Private,48093, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+16415,50, Private,143664, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16416,47, Private,168337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+16417,43, Private,195212, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, ?, <=50K
+16418,39, Private,230329, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K
+16419,42, Private,376072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+16420,32, Private,430175, HS-grad,9, Divorced, Craft-repair, Other-relative, Black, Female,0,0,50, United-States, <=50K
+16421,44, Federal-gov,240628, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K
+16422,50, Self-emp-inc,158294, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K
+16423,55, Private,28735, HS-grad,9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K
+16424,37, Private,167482, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16425,59, Private,113203, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16426,56, Private,103948, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+16427,33, Self-emp-not-inc,310525, 12th,8, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K
+16428,35, Private,105138, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+16429,44, Private,153489, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+16430,57, State-gov,254949, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16431,31, Private,118149, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+16432,18, Private,267965, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+16433,43, Private,50646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+16434,33, Private,147700, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K
+16435,18, Private,446771, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+16436,47, Private,168262, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+16437,53, Private,117058, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+16438,59, Self-emp-not-inc,140957, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, >50K
+16439,35, Private,186126, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, ?, <=50K
+16440,49, Private,268234, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16441,26, Private,485117, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16442,25, Private,31350, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, England, <=50K
+16443,36, State-gov,210830, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K
+16444,29, Private,196420, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+16445,52, Private,172165, 10th,6, Divorced, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K
+16446,50, Self-emp-not-inc,186565, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+16447,22, Private,119359, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+16448,44, Self-emp-not-inc,109684, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+16449,32, Private,169589, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+16450,49, Private,125421, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+16451,31, Private,500002, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K
+16452,33, Private,224141, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16453,50, Private,113290, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K
+16454,62, ?,123992, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+16455,26, Private,58098, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1974,40, United-States, <=50K
+16456,46, ?,37672, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+16457,55, Private,198145, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+16458,49, Federal-gov,35406, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K
+16459,22, Private,199419, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+16460,43, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+16461,58, Private,238438, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K
+16462,48, State-gov,212954, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+16463,21, Private,56582, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+16464,67, Local-gov,176931, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+16465,39, Self-emp-not-inc,188571, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+16466,52, Federal-gov,312500, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16467,25, Private,278404, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16468,27, Self-emp-not-inc,114225, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K
+16469,18, Private,184016, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+16470,41, Local-gov,183009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+16471,59, Private,205759, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16472,23, Private,462294, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,44, United-States, <=50K
+16473,42, Private,102085, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+16474,54, Self-emp-not-inc,83311, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K
+16475,39, Private,248694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+16476,57, Local-gov,190747, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16477,51, Private,162988, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+16478,31, Self-emp-not-inc,156890, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16479,24, Private,310380, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,45, United-States, <=50K
+16480,35, Private,172186, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+16481,26, Private,311497, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16482,42, Self-emp-inc,443508, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+16483,31, Private,152156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+16484,46, Private,155890, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+16485,38, State-gov,312528, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K
+16486,51, Private,282744, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Canada, <=50K
+16487,27, Private,205145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16488,33, ?,119918, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,45, ?, <=50K
+16489,22, Private,401451, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K
+16490,72, ?,173427, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Cuba, <=50K
+16491,25, Private,189027, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+16492,58, Self-emp-not-inc,35551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+16493,23, Private,42706, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16494,63, Private,106910, 5th-6th,3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,19, Philippines, <=50K
+16495,23, Private,53245, 9th,5, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16496,51, Private,221672, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+16497,75, Private,71898, Preschool,1, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,48, Philippines, <=50K
+16498,52, Private,222107, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K
+16499,69, Private,277588, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K
+16500,52, Private,178983, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+16501,40, Federal-gov,391744, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16502,34, Private,418020, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+16503,21, State-gov,39236, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K
+16504,30, Private,86808, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+16505,46, Private,147640, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,1902,40, United-States, <=50K
+16506,21, Private,184756, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+16507,44, Private,191256, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16508,51, State-gov,105943, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,40, United-States, <=50K
+16509,40, Private,101272, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+16510,33, State-gov,175023, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,37, United-States, <=50K
+16511,22, Self-emp-not-inc,357612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+16512,23, Private,82777, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+16513,75, Self-emp-not-inc,218521, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+16514,55, Private,179534, 11th,7, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+16515,24, ?,33339, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+16516,45, Private,148549, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,27828,0,56, United-States, >50K
+16517,31, Private,198069, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+16518,49, Private,236586, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+16519,26, Local-gov,167261, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16520,61, Private,160942, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, <=50K
+16521,44, Private,107584, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,50, United-States, <=50K
+16522,28, Local-gov,251854, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16523,79, ?,163140, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+16524,51, Private,302579, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,30, United-States, <=50K
+16525,44, Self-emp-inc,64632, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+16526,24, Private,83141, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16527,46, Self-emp-inc,326048, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16528,36, Private,83471, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+16529,23, Private,170070, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+16530,25, Private,207875, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+16531,48, Private,119722, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,8, United-States, <=50K
+16532,18, Private,335665, 11th,7, Never-married, Other-service, Other-relative, Black, Female,0,0,24, United-States, <=50K
+16533,25, Private,212522, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+16534,19, Private,42069, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,2176,0,45, United-States, <=50K
+16535,26, ?,131777, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2002,40, United-States, <=50K
+16536,33, Private,236396, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+16537,42, Private,159911, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+16538,22, Private,133833, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+16539,36, Private,226947, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16540,33, Private,174201, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+16541,34, Self-emp-not-inc,49707, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+16542,33, Private,201988, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+16543,62, Self-emp-not-inc,162347, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, >50K
+16544,30, Private,182833, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+16545,22, Private,383603, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+16546,34, Private,70466, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16547,43, Private,184846, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K
+16548,25, Private,176756, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+16549,35, Private,112512, HS-grad,9, Widowed, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+16550,28, Private,137296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+16551,28, Private,37821, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+16552,25, Private,295108, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,25, United-States, <=50K
+16553,40, Private,408717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16554,35, Private,255635, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K
+16555,48, Self-emp-not-inc,177783, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16556,63, Self-emp-not-inc,179400, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,20, United-States, <=50K
+16557,31, Private,240283, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+16558,36, Private,410034, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+16559,39, Private,180667, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16560,24, Private,196332, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+16561,32, Local-gov,159187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+16562,46, Private,225065, Preschool,1, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Mexico, <=50K
+16563,19, Private,178147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+16564,30, Private,272669, Some-college,10, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+16565,35, Private,347491, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16566,23, ?,146399, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K
+16567,33, Private,75167, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+16568,25, Private,133373, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16569,64, Local-gov,84737, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,35, United-States, >50K
+16570,18, Private,96483, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+16571,59, Private,368005, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16572,45, State-gov,36032, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16573,30, Private,174215, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K
+16574,24, Private,228772, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K
+16575,22, Private,242912, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+16576,49, Self-emp-inc,86701, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,56, United-States, >50K
+16577,35, Private,166549, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16578,48, Local-gov,121622, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,1380,40, United-States, <=50K
+16579,18, Private,201613, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+16580,35, Private,29874, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+16581,27, Private,168138, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+16582,28, Private,162404, Bachelors,13, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+16583,21, ?,162160, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+16584,26, Private,139116, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,50, United-States, <=50K
+16585,44, Private,192381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K
+16586,39, Private,370585, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+16587,40, State-gov,151038, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16588,70, Self-emp-not-inc,36311, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, United-States, >50K
+16589,34, Private,271933, Masters,14, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+16590,34, Private,182401, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+16591,66, Private,234743, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+16592,40, Private,182140, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K
+16593,61, Self-emp-not-inc,215591, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+16594,59, Self-emp-not-inc,96459, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16595,28, ?,205562, Masters,14, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+16596,47, Private,188081, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+16597,33, State-gov,121245, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+16598,18, Private,127273, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K
+16599,25, Private,114345, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,914,0,40, United-States, <=50K
+16600,22, Private,341227, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K
+16601,40, Local-gov,166893, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+16602,68, ?,65730, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+16603,30, Private,145231, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,1762,40, United-States, <=50K
+16604,73, Self-emp-not-inc,102510, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,99, United-States, >50K
+16605,45, Self-emp-not-inc,285335, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K
+16606,23, Private,177087, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K
+16607,40, Private,240504, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+16608,39, Private,218490, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+16609,23, Private,384651, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+16610,51, Private,189551, HS-grad,9, Divorced, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+16611,53, Private,194791, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+16612,24, Private,194630, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K
+16613,53, Private,177647, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+16614,49, Self-emp-not-inc,51620, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+16615,34, Private,251421, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16616,37, Self-emp-not-inc,180477, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K
+16617,40, State-gov,391736, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16618,23, State-gov,170091, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,6, United-States, <=50K
+16619,36, Private,175360, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,13550,0,50, United-States, >50K
+16620,35, Private,276153, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,4650,0,40, United-States, <=50K
+16621,53, Federal-gov,105788, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, >50K
+16622,42, Local-gov,248476, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, >50K
+16623,32, Private,168443, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+16624,33, Private,120201, HS-grad,9, Divorced, Adm-clerical, Own-child, Other, Female,0,0,65, United-States, <=50K
+16625,59, Private,114678, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+16626,36, Private,167440, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K
+16627,37, Self-emp-not-inc,265266, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K
+16628,31, Private,212235, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16629,46, Private,44671, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+16630,44, State-gov,87282, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,38, United-States, <=50K
+16631,27, Private,112754, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,60, United-States, >50K
+16632,29, Self-emp-not-inc,322238, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16633,39, Private,65382, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16634,62, Self-emp-not-inc,115176, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+16635,48, Self-emp-not-inc,162236, Masters,14, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, ?, >50K
+16636,42, Private,409902, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,25, United-States, <=50K
+16637,60, Local-gov,204062, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+16638,35, Private,283305, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16639,39, Private,435638, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16640,34, Self-emp-inc,114733, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K
+16641,22, Private,162343, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,22, United-States, <=50K
+16642,18, ?,195981, HS-grad,9, Widowed, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+16643,44, Private,79531, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16644,44, State-gov,395078, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16645,49, Local-gov,159641, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,625,40, United-States, <=50K
+16646,21, Private,159567, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16647,49, Private,133917, Assoc-voc,11, Never-married, Sales, Other-relative, Black, Male,0,0,40, ?, <=50K
+16648,52, Private,196894, 11th,7, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+16649,39, Local-gov,132879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+16650,23, Private,190290, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+16651,54, Private,102828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K
+16652,31, Private,128493, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+16653,30, State-gov,290677, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+16654,21, Private,283757, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+16655,38, Local-gov,169104, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+16656,51, Private,171409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+16657,34, Self-emp-not-inc,319165, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+16658,22, Private,203182, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K
+16659,20, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K
+16660,26, Private,215384, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1974,55, United-States, <=50K
+16661,26, Private,166666, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+16662,41, Private,156566, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16663,35, Private,140564, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+16664,27, Local-gov,322208, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+16665,65, Private,420277, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+16666,31, Private,123430, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, Mexico, <=50K
+16667,45, Self-emp-inc,151584, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+16668,37, Self-emp-not-inc,348960, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+16669,47, Private,168232, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K
+16670,47, Self-emp-inc,201699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+16671,33, Private,511517, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+16672,40, Private,118001, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+16673,38, Private,193961, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+16674,21, Private,32732, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16675,40, Private,223548, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K
+16676,33, Private,389932, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,55, United-States, <=50K
+16677,29, Private,102345, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,52, United-States, <=50K
+16678,41, Private,107584, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K
+16679,20, ?,34321, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+16680,20, State-gov,39478, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,54, United-States, <=50K
+16681,34, Self-emp-not-inc,276221, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+16682,78, Self-emp-inc,385242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,45, United-States, >50K
+16683,46, Private,235646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16684,40, Private,123306, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16685,59, Private,38573, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16686,23, Private,216889, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16687,23, Private,386705, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K
+16688,47, Self-emp-not-inc,249585, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+16689,31, Local-gov,47276, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, United-States, >50K
+16690,42, Self-emp-not-inc,162758, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, United-States, >50K
+16691,46, Local-gov,146497, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16692,29, Private,190765, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K
+16693,21, Private,186314, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16694,55, Private,213615, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16695,38, Private,162322, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+16696,44, State-gov,115932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16697,61, Self-emp-not-inc,392694, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+16698,38, State-gov,143517, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+16699,50, Self-emp-inc,123429, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Italy, >50K
+16700,53, Private,254285, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16701,37, Private,238311, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,36, United-States, >50K
+16702,49, Private,281647, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+16703,30, Private,75167, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+16704,19, Private,252862, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+16705,59, Self-emp-not-inc,199240, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, England, <=50K
+16706,43, Private,145762, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16707,29, Local-gov,142443, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+16708,49, Private,99361, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+16709,36, Private,105138, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16710,26, Private,183171, 11th,7, Never-married, Other-service, Own-child, Black, Male,1055,0,32, United-States, <=50K
+16711,18, Private,151866, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+16712,60, Private,297261, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+16713,43, Private,148998, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16714,42, Private,143046, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+16715,41, Private,183850, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16716,55, Self-emp-not-inc,248841, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+16717,31, Private,198452, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+16718,20, Private,161092, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+16719,37, Private,112497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16720,51, Self-emp-not-inc,155963, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+16721,28, Private,147560, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K
+16722,24, Private,376393, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16723,21, State-gov,151790, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+16724,21, Private,438139, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16725,20, ?,163911, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+16726,35, Private,214896, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+16727,30, Private,102821, Some-college,10, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+16728,44, Self-emp-not-inc,90021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+16729,45, Private,77085, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K
+16730,42, Private,158555, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16731,36, ?,28160, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16732,32, Private,462255, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16733,33, Private,144949, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16734,27, Private,116207, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K
+16735,17, Private,187308, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+16736,45, Local-gov,189890, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16737,41, Private,185267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+16738,19, Private,63434, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K
+16739,45, Private,1366120, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,8, United-States, <=50K
+16740,41, Self-emp-inc,495061, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K
+16741,34, Local-gov,134886, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1740,35, United-States, <=50K
+16742,33, Private,129707, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, >50K
+16743,17, ?,181337, 10th,6, Never-married, ?, Own-child, Other, Female,0,0,20, United-States, <=50K
+16744,51, Private,74784, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+16745,33, Private,44392, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+16746,23, Private,406641, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,18, United-States, <=50K
+16747,52, Private,89041, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, >50K
+16748,36, ?,139770, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,32, United-States, <=50K
+16749,25, Private,180212, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16750,38, ?,338212, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+16751,64, Self-emp-not-inc,178472, 9th,5, Separated, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16752,42, Private,384236, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+16753,29, Private,168470, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+16754,26, Local-gov,80485, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K
+16755,38, ?,181705, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+16756,24, Private,216867, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,30, Mexico, <=50K
+16757,43, Federal-gov,214541, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16758,38, Private,383239, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+16759,28, Private,70034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+16760,18, ?,266287, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+16761,44, Private,128485, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+16762,81, ?,89015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K
+16763,55, Private,106740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16764,52, Private,167527, 11th,7, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16765,31, Private,19302, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16766,35, Private,210150, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16767,39, Private,179824, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,36, United-States, <=50K
+16768,27, Private,420351, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+16769,23, State-gov,215443, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,15, United-States, <=50K
+16770,26, Private,116044, 11th,7, Separated, Craft-repair, Other-relative, White, Male,2907,0,50, United-States, <=50K
+16771,33, Private,215306, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Cuba, <=50K
+16772,39, Private,108069, Some-college,10, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+16773,44, Private,260046, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16774,38, Private,31053, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+16775,18, Private,362302, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+16776,54, Private,87205, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+16777,45, Private,191703, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+16778,43, Private,242968, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+16779,23, Local-gov,185575, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+16780,37, Private,177858, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+16781,33, Self-emp-not-inc,73585, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+16782,45, Private,301802, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+16783,32, Self-emp-inc,108467, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+16784,47, Private,431245, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16785,44, Private,157217, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16786,22, Private,204935, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16787,17, Private,277112, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+16788,64, Self-emp-inc,59145, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K
+16789,30, Local-gov,159773, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K
+16790,51, Private,118793, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K
+16791,26, State-gov,152457, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16792,31, Private,187901, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,1504,40, United-States, <=50K
+16793,50, Private,266529, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16794,18, ?,256179, Some-college,10, Never-married, ?, Own-child, White, Male,594,0,10, United-States, <=50K
+16795,63, Private,113756, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+16796,48, Private,83444, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K
+16797,37, Self-emp-inc,30529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K
+16798,51, ?,146325, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,28, United-States, <=50K
+16799,29, Private,198825, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+16800,69, Private,71489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K
+16801,56, Private,111218, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+16802,26, ?,221626, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+16803,39, Local-gov,203482, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+16804,42, Self-emp-not-inc,352196, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K
+16805,41, Federal-gov,355918, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+16806,45, Private,168262, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K
+16807,23, Private,182615, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+16808,29, Private,211482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+16809,34, Private,386370, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+16810,31, ?,85077, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,1902,20, United-States, >50K
+16811,46, Local-gov,180010, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+16812,46, Without-pay,142210, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,25, United-States, <=50K
+16813,33, Private,415706, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+16814,46, Private,237731, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16815,26, Private,343506, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+16816,49, Local-gov,116163, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, France, <=50K
+16817,66, ?,206560, HS-grad,9, Widowed, ?, Not-in-family, Other, Female,0,0,35, Puerto-Rico, <=50K
+16818,55, State-gov,153451, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1887,40, United-States, >50K
+16819,35, Private,301862, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16820,27, Private,33429, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+16821,31, Private,169583, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+16822,47, Private,146497, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,16, Germany, <=50K
+16823,48, Self-emp-not-inc,383384, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16824,27, Private,240809, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,56, United-States, <=50K
+16825,38, Private,203763, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16826,27, Private,218785, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+16827,23, ?,381741, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,1721,20, United-States, <=50K
+16828,17, Private,244602, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+16829,44, State-gov,175696, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16830,26, Private,101027, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+16831,37, Private,99270, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Female,0,0,40, United-States, <=50K
+16832,49, Private,224393, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+16833,42, Private,192381, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16834,26, Private,131686, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16835,73, ?,84390, Assoc-voc,11, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K
+16836,44, Private,277533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16837,47, Private,72880, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16838,28, ?,149646, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,20, ?, <=50K
+16839,49, Private,209057, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16840,17, Private,108909, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+16841,42, Private,74949, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16842,30, Private,235639, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16843,36, State-gov,137421, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,37, Hong, <=50K
+16844,53, Private,122412, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16845,23, Private,434894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+16846,35, Private,379959, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16847,32, Private,95885, 11th,7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,13550,0,60, United-States, >50K
+16848,39, Private,225330, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,50, Poland, >50K
+16849,40, Private,32627, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+16850,28, Private,65171, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16851,32, Private,193380, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+16852,42, Private,184823, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+16853,35, Private,81259, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+16854,35, Private,301369, 12th,8, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16855,21, Private,190968, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16856,71, Private,196610, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Male,6097,0,40, United-States, >50K
+16857,31, Private,330715, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16858,25, Local-gov,77698, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16859,35, Private,139770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,6849,0,40, United-States, <=50K
+16860,24, Private,109053, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K
+16861,69, Private,312653, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+16862,35, Self-emp-not-inc,193260, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+16863,35, Private,331831, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+16864,42, Private,54202, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,50, United-States, >50K
+16865,51, Private,163948, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+16866,48, Private,36228, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,44, United-States, <=50K
+16867,49, Private,160167, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16868,53, Private,178356, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,99, United-States, <=50K
+16869,43, Private,104196, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+16870,53, Private,288353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16871,35, Private,187693, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16872,36, Private,114988, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16873,34, Local-gov,117392, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16874,48, Private,121124, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+16875,53, Private,195638, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16876,37, Private,245053, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,1504,40, United-States, <=50K
+16877,49, State-gov,216734, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16878,30, ?,197827, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+16879,41, Private,49156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16880,25, Private,126133, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+16881,24, Private,304463, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+16882,34, Private,214288, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+16883,29, Private,274969, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,42, United-States, <=50K
+16884,23, Private,189072, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+16885,46, Private,128047, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K
+16886,20, Private,210338, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+16887,63, Private,122442, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16888,40, Self-emp-not-inc,167081, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, <=50K
+16889,33, Private,251421, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16890,24, Federal-gov,219519, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+16891,36, Private,33355, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K
+16892,25, Private,441210, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+16893,54, Local-gov,178356, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16894,50, Self-emp-not-inc,231196, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16895,58, State-gov,40925, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16896,17, Private,270587, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, England, <=50K
+16897,40, Private,219266, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+16898,27, Private,114967, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+16899,20, Private,344492, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,26, United-States, <=50K
+16900,22, Private,369387, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+16901,80, Self-emp-not-inc,101771, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K
+16902,52, Private,137428, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+16903,40, Federal-gov,121012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,48, United-States, >50K
+16904,48, Private,139290, 10th,6, Separated, Machine-op-inspct, Own-child, White, Female,0,0,48, United-States, <=50K
+16905,62, Private,199193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K
+16906,32, Private,286689, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K
+16907,21, ?,123727, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K
+16908,58, Federal-gov,208640, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+16909,37, Self-emp-not-inc,120130, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+16910,29, Self-emp-inc,241431, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+16911,25, Private,120450, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16912,26, Private,152240, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16913,50, Private,200960, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+16914,30, Federal-gov,314310, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16915,30, Local-gov,44566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K
+16916,59, Private,21792, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K
+16917,36, Private,182074, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+16918,37, Private,221850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Ecuador, >50K
+16919,42, Private,240628, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+16920,34, Private,318641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K
+16921,27, Self-emp-not-inc,140863, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+16922,39, Private,129150, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+16923,41, Private,143003, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7298,0,60, India, >50K
+16924,34, Self-emp-not-inc,198664, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,15024,0,70, South, >50K
+16925,41, Private,244945, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16926,50, Private,138514, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+16927,18, Private,92008, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,28, United-States, <=50K
+16928,23, Private,207415, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K
+16929,26, Private,188626, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+16930,38, Private,257250, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K
+16931,27, Private,133696, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,88, United-States, <=50K
+16932,21, Private,195919, 10th,6, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0,0,40, Dominican-Republic, <=50K
+16933,41, Private,119266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16934,42, Self-emp-not-inc,140474, Assoc-acdm,12, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K
+16935,25, Private,69739, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+16936,43, Private,293176, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+16937,23, Private,217961, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+16938,40, Local-gov,163725, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+16939,23, Private,419394, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,9, United-States, <=50K
+16940,18, Private,220836, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+16941,37, Private,334291, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+16942,58, Private,298601, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3781,0,40, United-States, <=50K
+16943,36, Private,200360, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16944,36, Private,203482, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16945,25, Private,99126, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K
+16946,62, Private,109190, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+16947,34, Private,34848, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,4064,0,40, United-States, <=50K
+16948,27, Private,29732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,36, United-States, <=50K
+16949,23, Private,87867, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+16950,55, Private,123515, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+16951,42, Private,175935, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+16952,22, Private,229456, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K
+16953,44, Private,184105, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K
+16954,42, Local-gov,99554, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+16955,21, Private,190227, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+16956,25, Private,29020, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+16957,31, Private,306459, 1st-4th,2, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,35, Honduras, <=50K
+16958,42, Private,193995, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+16959,26, Private,105059, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+16960,62, Private,71751, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,98, United-States, >50K
+16961,28, Private,176683, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K
+16962,34, Private,342709, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+16963,51, Private,53838, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+16964,45, Local-gov,209482, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+16965,44, Private,214242, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+16966,47, ?,34458, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+16967,35, Private,100375, Some-college,10, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+16968,46, Private,149949, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+16969,46, Private,189762, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K
+16970,46, Private,79874, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,53, United-States, >50K
+16971,66, Self-emp-not-inc,104576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,8, United-States, >50K
+16972,34, State-gov,355700, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+16973,26, Private,213625, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+16974,29, Private,204984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+16975,30, Private,144593, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K
+16976,23, Private,217169, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+16977,46, Private,184883, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+16978,44, ?,136419, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+16979,54, Private,57758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K
+16980,54, Self-emp-not-inc,30908, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+16981,71, Private,217971, 9th,5, Widowed, Sales, Unmarried, White, Female,0,0,13, United-States, <=50K
+16982,51, Private,160703, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+16983,32, Private,142675, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16984,75, ?,248833, HS-grad,9, Married-AF-spouse, ?, Wife, White, Female,2653,0,14, United-States, <=50K
+16985,57, Private,171242, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Canada, <=50K
+16986,34, Private,376979, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+16987,40, Private,175935, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,14084,0,40, United-States, >50K
+16988,21, Private,277530, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+16989,50, Private,104501, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+16990,32, Private,94041, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, Ireland, <=50K
+16991,37, Local-gov,593246, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+16992,19, Private,121074, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K
+16993,64, Private,192596, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+16994,17, Private,142457, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+16995,37, Private,136028, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+16996,32, Private,216145, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,4650,0,45, United-States, <=50K
+16997,20, Private,157894, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+16998,39, Self-emp-not-inc,164593, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,4787,0,40, United-States, >50K
+16999,18, Private,252993, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Columbia, <=50K
+17000,42, Private,145711, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+17001,43, Private,358199, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K
+17002,42, Private,219591, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K
+17003,53, Local-gov,205005, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K
+17004,52, Private,221936, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+17005,51, Private,120914, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+17006,77, Self-emp-inc,155761, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K
+17007,25, Private,195914, Some-college,10, Never-married, Sales, Own-child, Black, Female,3418,0,30, United-States, <=50K
+17008,38, Local-gov,236687, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+17009,20, Private,318036, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17010,23, Private,53306, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+17011,27, Private,174645, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17012,19, Private,321817, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+17013,41, Private,206948, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+17014,47, Federal-gov,402975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+17015,72, ?,289930, Bachelors,13, Separated, ?, Not-in-family, White, Female,991,0,7, United-States, <=50K
+17016,42, Private,367049, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,40, United-States, <=50K
+17017,36, Private,143486, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+17018,42, Self-emp-inc,27187, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+17019,24, Private,187717, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17020,22, Private,378104, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+17021,29, Private,113870, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+17022,42, Private,252518, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+17023,24, Private,326334, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+17024,41, Private,279914, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+17025,29, Private,320451, HS-grad,9, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+17026,36, Private,207853, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17027,78, Self-emp-inc,237294, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K
+17028,43, Private,112181, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,32, United-States, >50K
+17029,34, State-gov,259705, Some-college,10, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+17030,20, ?,117789, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+17031,24, Private,449432, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17032,36, Federal-gov,89083, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17033,49, Private,59612, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+17034,21, Private,129980, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+17035,51, Private,108233, Assoc-acdm,12, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17036,30, Private,342709, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17037,37, Private,126675, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17038,30, Private,141118, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17039,20, ?,273701, Some-college,10, Never-married, ?, Other-relative, Black, Male,34095,0,10, United-States, <=50K
+17040,46, Private,173243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17041,24, Local-gov,161092, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+17042,32, Private,209691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K
+17043,36, Private,89508, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17044,30, Private,399522, 11th,7, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+17045,60, State-gov,136939, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17046,56, Local-gov,264436, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17047,57, Private,199572, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17048,61, Federal-gov,28291, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+17049,50, Private,215990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17050,56, Self-emp-not-inc,179594, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+17051,61, Self-emp-inc,139391, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,35, United-States, >50K
+17052,45, Private,187370, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,70, United-States, >50K
+17053,31, Private,473133, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K
+17054,60, Self-emp-not-inc,205246, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,2559,50, United-States, >50K
+17055,26, Private,182308, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17056,56, Self-emp-not-inc,51662, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+17057,45, Private,289468, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+17058,28, Private,201954, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K
+17059,45, Self-emp-not-inc,26781, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17060,58, Private,100960, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17061,38, Private,203761, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,2354,0,40, United-States, <=50K
+17062,23, Private,213811, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+17063,49, Private,124672, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17064,19, Private,219300, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+17065,22, Private,270436, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+17066,23, Private,212619, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+17067,23, Private,193586, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,40, United-States, <=50K
+17068,40, Private,84136, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+17069,55, Federal-gov,264834, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17070,34, State-gov,98995, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17071,21, Private,278254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+17072,28, Private,167987, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+17073,43, Federal-gov,72887, Bachelors,13, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+17074,17, Private,176467, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K
+17075,51, Self-emp-not-inc,85902, 10th,6, Widowed, Transport-moving, Other-relative, White, Female,0,0,40, United-States, <=50K
+17076,37, Private,223433, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+17077,54, Self-emp-inc,108435, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+17078,24, Private,172496, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+17079,35, Private,241998, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17080,48, Private,245948, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,2174,0,40, United-States, <=50K
+17081,23, Private,187513, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+17082,24, Private,440138, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, England, <=50K
+17083,24, Private,218215, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+17084,50, Private,158948, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K
+17085,34, Private,94413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+17086,45, Private,183598, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17087,36, Private,192664, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17088,33, Private,392812, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+17089,21, Private,155818, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+17090,32, Private,195000, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17091,22, Private,308205, 5th-6th,3, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K
+17092,53, Private,104879, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+17093,36, Private,152307, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17094,22, Private,145964, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+17095,47, Private,97419, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,40, United-States, <=50K
+17096,25, ?,12285, Some-college,10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+17097,30, Private,263150, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K
+17098,49, ?,189885, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17099,23, Private,151888, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+17100,40, Private,254167, 10th,6, Separated, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K
+17101,45, Local-gov,331482, Assoc-acdm,12, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+17102,61, Local-gov,177189, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K
+17103,35, Private,186886, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K
+17104,20, Private,33221, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+17105,27, Private,188171, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,60, United-States, <=50K
+17106,23, Private,209770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17107,25, Private,164488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+17108,65, Local-gov,180869, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17109,25, Private,190350, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17110,49, Private,137192, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1977,50, South, >50K
+17111,45, Private,204057, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K
+17112,46, Private,198774, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,323,45, United-States, <=50K
+17113,67, Private,134906, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K
+17114,40, Private,174515, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+17115,51, Private,259363, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+17116,44, Self-emp-not-inc,201742, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K
+17117,35, Private,209609, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+17118,28, Private,185127, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17119,44, Private,462838, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K
+17120,37, Private,176967, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+17121,54, Private,284129, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+17122,33, Federal-gov,37546, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+17123,46, Private,116666, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17124,45, Private,120724, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, <=50K
+17125,27, Private,314240, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+17126,49, Private,423222, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+17127,51, Private,201127, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+17128,27, Private,202239, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17129,36, Private,209629, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17130,59, Private,165922, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+17131,24, Private,133520, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+17132,66, ?,99888, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17133,31, Private,176410, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K
+17134,35, Federal-gov,103214, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, >50K
+17135,34, Private,122612, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688,0,50, Philippines, >50K
+17136,50, Private,226735, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K
+17137,43, Self-emp-inc,151089, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+17138,21, Private,244312, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,30, El-Salvador, <=50K
+17139,33, Private,209317, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,45, El-Salvador, <=50K
+17140,48, Private,99096, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,1590,38, United-States, <=50K
+17141,22, Private,374116, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,36, United-States, <=50K
+17142,29, Private,205249, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K
+17143,42, Self-emp-not-inc,326083, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17144,28, Self-emp-not-inc,183523, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Hungary, <=50K
+17145,36, Private,350783, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K
+17146,66, Local-gov,140849, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+17147,44, Private,175943, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K
+17148,45, Local-gov,125933, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17149,49, Private,225124, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+17150,36, Private,272090, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, El-Salvador, <=50K
+17151,48, Private,40666, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+17152,19, Private,35245, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+17153,36, Private,167482, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+17154,41, Private,204662, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+17155,32, Private,291147, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+17156,49, Private,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17157,51, Self-emp-not-inc,205100, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+17158,20, Private,352139, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,29, United-States, <=50K
+17159,39, Private,111268, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17160,38, Private,247111, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+17161,19, Private,271446, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+17162,29, Local-gov,132412, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+17163,52, Self-emp-inc,74712, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+17164,22, Private,94662, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+17165,44, Self-emp-inc,33126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K
+17166,43, Private,133584, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17167,41, Local-gov,103759, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3942,0,40, United-States, <=50K
+17168,63, ?,64448, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+17169,40, Private,374367, Assoc-voc,11, Separated, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K
+17170,40, Private,179666, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, Canada, <=50K
+17171,18, Private,99219, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+17172,57, Self-emp-inc,180211, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Taiwan, >50K
+17173,54, Local-gov,219276, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+17174,44, Private,150011, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+17175,20, Private,231231, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+17176,40, Private,182217, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Scotland, <=50K
+17177,29, Private,277342, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+17178,22, Private,140001, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17179,44, Private,99651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+17180,45, Private,223319, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+17181,52, Private,235307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17182,57, Private,206343, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, Cuba, <=50K
+17183,51, Local-gov,156003, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17184,23, Private,529223, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,10, United-States, <=50K
+17185,22, Private,202871, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, <=50K
+17186,37, Private,58337, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+17187,58, Federal-gov,298643, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17188,61, Private,191188, 10th,6, Widowed, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K
+17189,30, Private,96287, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+17190,23, Private,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17191,30, Private,323054, 10th,6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17192,18, Private,95917, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, Canada, <=50K
+17193,34, Private,238305, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,1628,12, ?, <=50K
+17194,23, Private,49296, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+17195,23, Private,50953, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,10, United-States, <=50K
+17196,57, Private,124507, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+17197,58, Private,239523, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+17198,59, Self-emp-not-inc,309124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+17199,27, Private,240172, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17200,50, Private,105010, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K
+17201,44, Local-gov,135056, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,16, ?, <=50K
+17202,25, Private,178478, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+17203,33, Private,23871, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+17204,22, Private,362309, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+17205,21, Private,257781, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1719,30, United-States, <=50K
+17206,44, Private,175669, 11th,7, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,36, United-States, >50K
+17207,50, Private,297906, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+17208,44, Private,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+17209,53, ?,123011, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+17210,41, Private,170866, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+17211,54, Local-gov,182543, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K
+17212,60, Self-emp-not-inc,236470, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+17213,58, Private,33725, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+17214,27, Private,188941, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3908,0,40, United-States, <=50K
+17215,43, Private,206878, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K
+17216,33, Local-gov,173806, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17217,24, Private,190709, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+17218,41, Private,149102, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Poland, <=50K
+17219,21, Private,25265, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17220,39, Private,100669, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+17221,27, Self-emp-inc,114158, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+17222,50, Private,228057, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17223,20, Private,54012, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+17224,46, Federal-gov,219967, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17225,49, Private,239865, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17226,35, State-gov,119421, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K
+17227,56, Self-emp-not-inc,220187, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K
+17228,41, Local-gov,33068, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1974,40, United-States, <=50K
+17229,41, Self-emp-not-inc,277783, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,2001,50, United-States, <=50K
+17230,42, Private,175515, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17231,58, Local-gov,271795, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17232,43, Private,70055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+17233,25, Private,352806, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+17234,57, Private,266189, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K
+17235,49, Private,102945, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17236,23, Private,173851, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17237,59, Private,144092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17238,50, Private,198681, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K
+17239,33, Private,351810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K
+17240,52, Private,180142, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+17241,37, Self-emp-inc,175360, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17242,30, Self-emp-inc,224498, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+17243,39, Self-emp-inc,154641, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,60, United-States, <=50K
+17244,54, Local-gov,152540, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,42, United-States, <=50K
+17245,52, Private,217663, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+17246,22, Local-gov,138575, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,56, United-States, <=50K
+17247,19, ?,32477, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+17248,65, Private,101104, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,9386,0,10, United-States, >50K
+17249,32, Private,44677, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17250,25, Private,456618, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, El-Salvador, <=50K
+17251,34, Private,227282, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17252,47, Private,27624, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K
+17253,24, Private,281403, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K
+17254,63, Federal-gov,39181, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,2559,60, United-States, >50K
+17255,48, Private,377140, 5th-6th,3, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,35, Nicaragua, <=50K
+17256,26, Private,299810, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+17257,28, Private,181916, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17258,23, Private,237044, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,12, United-States, <=50K
+17259,57, Self-emp-inc,123053, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,50, India, >50K
+17260,64, State-gov,269512, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17261,28, Private,44767, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, >50K
+17262,28, Private,67218, 7th-8th,4, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+17263,34, Private,176992, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17264,38, Self-emp-not-inc,43712, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K
+17265,44, Private,379919, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+17266,34, Private,104509, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,1639,0,20, United-States, <=50K
+17267,18, Private,212370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+17268,36, Private,179666, 12th,8, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K
+17269,73, Self-emp-not-inc,233882, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,2457,40, Vietnam, <=50K
+17270,24, Private,197387, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K
+17271,29, Local-gov,220656, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+17272,33, Private,181091, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17273,57, Federal-gov,135028, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Female,0,0,35, United-States, <=50K
+17274,41, Private,185057, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, ?, <=50K
+17275,55, Private,106498, 10th,6, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+17276,21, Private,203003, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17277,36, Self-emp-not-inc,223789, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+17278,26, Private,184026, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,50, United-States, <=50K
+17279,32, ?,335427, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K
+17280,40, Private,65866, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,213,40, United-States, <=50K
+17281,32, Private,372692, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17282,21, Private,45607, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+17283,59, State-gov,303176, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2179,40, United-States, <=50K
+17284,29, Private,138190, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,1138,40, United-States, <=50K
+17285,29, Self-emp-not-inc,212895, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K
+17286,59, Self-emp-inc,31359, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K
+17287,58, Private,147989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+17288,47, Private,145290, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+17289,44, Private,262684, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1504,45, United-States, <=50K
+17290,31, Private,132601, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+17291,42, Self-emp-not-inc,30759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+17292,19, Private,319889, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+17293,66, Private,29431, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+17294,41, Private,111483, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+17295,22, Private,184756, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+17296,31, Private,651396, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1594,30, United-States, <=50K
+17297,30, Private,187560, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17298,36, Self-emp-not-inc,84848, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K
+17299,75, ?,36243, Doctorate,16, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17300,41, State-gov,88913, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,36, United-States, <=50K
+17301,19, Private,73190, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+17302,60, Private,132529, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+17303,24, Private,214542, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+17304,25, Private,217006, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17305,52, Private,169785, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+17306,30, Private,75573, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, Germany, <=50K
+17307,37, Private,239171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17308,55, Self-emp-not-inc,53566, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+17309,20, Private,117109, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,24, United-States, <=50K
+17310,32, Private,398019, 7th-8th,4, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,15, Mexico, <=50K
+17311,18, Private,114008, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+17312,24, Private,204653, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17313,33, Local-gov,254935, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K
+17314,76, ?,84755, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+17315,57, Local-gov,198145, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,14, United-States, >50K
+17316,53, Private,174020, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,1876,38, United-States, <=50K
+17317,19, Private,451951, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17318,50, Local-gov,172175, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17319,27, Private,209472, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17320,40, Private,336707, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Female,0,0,60, United-States, <=50K
+17321,26, ?,431861, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17322,47, Self-emp-inc,156728, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+17323,39, Federal-gov,290321, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+17324,49, State-gov,206577, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+17325,28, Self-emp-not-inc,149324, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, <=50K
+17326,33, ?,49593, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,30, United-States, <=50K
+17327,50, Private,98975, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+17328,28, Private,181659, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K
+17329,30, Private,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+17330,47, Private,102308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+17331,39, Private,184801, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17332,37, Private,176014, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+17333,50, Private,256861, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K
+17334,37, Private,239397, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+17335,26, Private,233777, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+17336,55, Private,236520, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17337,46, Private,70754, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17338,32, Private,245378, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+17339,26, Private,176729, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K
+17340,32, Private,154120, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K
+17341,43, Private,88913, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,1055,0,40, United-States, <=50K
+17342,19, Private,517036, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K
+17343,38, Private,436361, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K
+17344,38, Private,231037, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K
+17345,65, Private,209831, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+17346,70, Self-emp-not-inc,143833, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,40, United-States, >50K
+17347,48, ?,167381, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,25, United-States, <=50K
+17348,44, Private,215468, Bachelors,13, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,7, United-States, <=50K
+17349,32, Private,200700, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17350,30, Local-gov,191777, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K
+17351,49, Federal-gov,195437, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K
+17352,23, Private,149396, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+17353,25, Private,104746, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,16, United-States, <=50K
+17354,19, Private,108147, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+17355,27, Private,238859, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17356,43, State-gov,23157, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+17357,38, Private,497788, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+17358,42, Private,141558, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+17359,33, Federal-gov,117963, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K
+17360,30, Private,232356, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17361,29, Private,157941, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17362,30, Private,103642, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17363,26, Private,169727, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17364,43, Private,274731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17365,30, Private,161572, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K
+17366,38, Private,48779, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+17367,48, Private,141511, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17368,57, Private,314153, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K
+17369,30, Private,168334, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K
+17370,42, Local-gov,267252, Masters,14, Separated, Exec-managerial, Unmarried, Black, Male,0,0,45, United-States, >50K
+17371,31, Self-emp-not-inc,312055, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+17372,32, Private,207937, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17373,28, Private,232653, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17374,63, Private,246841, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17375,32, Private,154087, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17376,20, Private,199011, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+17377,51, Self-emp-not-inc,205100, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K
+17378,36, Private,177907, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,2176,0,20, ?, <=50K
+17379,24, Private,50400, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17380,41, Local-gov,97064, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K
+17381,21, Private,65038, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+17382,27, Private,292472, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,1876,45, Cambodia, <=50K
+17383,17, Private,225211, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K
+17384,45, Private,320192, 1st-4th,2, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+17385,39, State-gov,119421, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,625,35, United-States, <=50K
+17386,21, Private,83580, Some-college,10, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female,0,0,4, United-States, <=50K
+17387,29, Private,133696, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,45, United-States, >50K
+17388,39, Private,141584, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,2444,45, United-States, >50K
+17389,42, Private,529216, HS-grad,9, Separated, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K
+17390,22, Private,390817, 5th-6th,3, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K
+17391,21, ?,85733, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+17392,59, Private,155976, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17393,40, Private,221172, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+17394,45, Private,270842, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17395,35, Private,82622, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17396,58, Private,371064, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+17397,45, Private,54744, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K
+17398,29, Private,22641, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K
+17399,21, Private,218957, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K
+17400,51, Private,441637, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17401,34, Local-gov,143699, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+17402,40, Private,183096, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17403,45, Private,97176, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K
+17404,38, Self-emp-not-inc,122493, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+17405,22, Private,311376, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17406,37, Private,78928, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,3137,0,40, United-States, <=50K
+17407,62, Private,123582, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+17408,32, Federal-gov,174215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+17409,36, Private,183902, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,4, United-States, >50K
+17410,43, Private,247880, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17411,37, Private,256636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17412,33, ?,152875, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K
+17413,28, Private,22422, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K
+17414,49, ?,178215, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,28, United-States, <=50K
+17415,47, Local-gov,194360, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,7, United-States, >50K
+17416,59, Private,247187, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17417,35, Private,63921, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17418,35, Private,224889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+17419,29, Self-emp-not-inc,178564, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K
+17420,57, Private,47619, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17421,41, Private,92775, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+17422,37, Private,50837, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+17423,20, Local-gov,235894, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+17424,44, Private,244974, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+17425,20, Local-gov,526734, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+17426,38, Self-emp-not-inc,243484, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, >50K
+17427,23, Private,201664, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+17428,24, Private,234640, HS-grad,9, Married-spouse-absent, Sales, Own-child, White, Female,0,0,36, United-States, <=50K
+17429,46, Private,268022, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+17430,32, Local-gov,223267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17431,21, Self-emp-not-inc,99199, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17432,32, Private,137076, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+17433,41, Private,115411, Some-college,10, Divorced, Sales, Own-child, White, Male,2174,0,45, United-States, <=50K
+17434,51, Private,313146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17435,69, Self-emp-not-inc,29980, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,1848,0,10, United-States, <=50K
+17436,39, Self-emp-inc,543042, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K
+17437,43, Private,271807, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17438,51, Federal-gov,97934, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,5178,0,40, United-States, >50K
+17439,43, Private,191196, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17440,35, Self-emp-not-inc,264627, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,84, United-States, <=50K
+17441,32, Private,183801, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17442,25, Private,209227, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,21, United-States, <=50K
+17443,64, Private,216208, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17444,28, Private,377095, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+17445,44, Private,317535, 1st-4th,2, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0,0,40, Mexico, <=50K
+17446,40, Private,247880, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+17447,21, Private,152246, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+17448,23, Private,428299, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17449,23, Private,161708, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+17450,19, Private,167859, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+17451,61, Private,85194, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K
+17452,47, Self-emp-inc,119471, 7th-8th,4, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, ?, <=50K
+17453,39, Private,117683, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+17454,51, Private,139347, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K
+17455,25, Private,427744, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17456,33, Private,122116, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+17457,34, State-gov,227931, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+17458,54, Self-emp-not-inc,226497, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+17459,24, Private,83783, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+17460,28, Private,197113, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,50, Puerto-Rico, <=50K
+17461,33, Private,204742, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+17462,63, ?,331527, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K
+17463,31, Private,213179, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+17464,70, Self-emp-inc,188260, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K
+17465,43, Private,298161, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Nicaragua, <=50K
+17466,36, Private,143774, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, >50K
+17467,50, Local-gov,139296, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+17468,21, Private,152389, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+17469,31, Private,309974, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17470,19, ?,37085, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+17471,39, Private,270059, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+17472,29, Private,130045, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+17473,39, Private,188038, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17474,17, Private,168203, 7th-8th,4, Never-married, Farming-fishing, Other-relative, Other, Male,0,0,40, Mexico, <=50K
+17475,46, Private,171807, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+17476,62, Private,186696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17477,32, Private,177531, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,23, United-States, <=50K
+17478,28, Private,115464, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+17479,19, Private,501144, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K
+17480,61, Local-gov,180079, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,40, United-States, <=50K
+17481,18, Private,205894, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, ?, <=50K
+17482,39, Self-emp-not-inc,218490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, ?, >50K
+17483,24, Local-gov,203924, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K
+17484,38, Private,91857, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K
+17485,38, Private,229700, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+17486,17, Private,158704, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+17487,28, Private,190911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17488,52, Private,139176, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K
+17489,61, Private,119684, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,20, United-States, >50K
+17490,69, Private,124930, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2267,40, United-States, <=50K
+17491,19, Private,168693, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+17492,26, Private,250038, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+17493,34, Self-emp-inc,353927, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17494,70, Private,216390, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,2653,0,40, United-States, <=50K
+17495,21, Private,230248, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+17496,43, Private,117728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+17497,52, Private,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17498,59, Private,193335, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17499,21, Private,203894, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17500,53, Self-emp-not-inc,100109, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+17501,55, State-gov,157639, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+17502,46, Self-emp-inc,235320, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+17503,36, Private,127686, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+17504,39, Private,28572, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,48, United-States, <=50K
+17505,78, ?,91534, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K
+17506,30, Private,184687, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K
+17507,22, Private,267945, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+17508,43, Private,131899, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17509,36, Private,192614, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K
+17510,36, Private,186808, Bachelors,13, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K
+17511,50, Private,44116, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+17512,27, Federal-gov,46442, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17513,46, Federal-gov,78022, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+17514,24, Private,417668, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+17515,41, Private,223763, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17516,68, Private,223851, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,24, United-States, <=50K
+17517,38, Local-gov,115634, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17518,47, Private,114459, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+17519,41, Private,197093, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+17520,31, Self-emp-not-inc,357145, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Female,0,0,48, United-States, <=50K
+17521,29, Private,59231, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+17522,26, Private,292303, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+17523,51, Private,122288, Some-college,10, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,36, United-States, <=50K
+17524,26, Federal-gov,52322, Bachelors,13, Never-married, Tech-support, Not-in-family, Other, Male,0,0,60, United-States, <=50K
+17525,27, Local-gov,105830, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+17526,36, Private,107125, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+17527,28, Federal-gov,281860, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17528,53, Private,283320, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17529,40, State-gov,26598, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17530,38, Private,220783, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+17531,21, ?,121694, 7th-8th,4, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+17532,53, Private,208302, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K
+17533,34, Local-gov,172664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17534,43, Private,54611, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+17535,64, Private,631947, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+17536,21, Private,394484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17537,25, ?,239120, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,13, United-States, <=50K
+17538,38, Federal-gov,37683, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,99999,0,57, Canada, >50K
+17539,47, Local-gov,193012, Masters,14, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,50, United-States, >50K
+17540,48, Private,143098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, China, >50K
+17541,57, Private,84888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+17542,37, Private,188503, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17543,37, Private,337778, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17544,51, Self-emp-not-inc,94432, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, >50K
+17545,32, Private,168906, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17546,49, Private,116143, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17547,52, Private,128272, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,14, United-States, <=50K
+17548,64, Federal-gov,301383, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,45, United-States, >50K
+17549,46, Private,174995, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+17550,24, State-gov,289909, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17551,39, Private,154641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+17552,23, Private,209034, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3942,0,40, United-States, <=50K
+17553,30, Private,203488, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+17554,34, Private,141118, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,60, United-States, >50K
+17555,30, Private,169589, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+17556,25, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17557,58, Local-gov,489085, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+17558,32, Private,36302, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+17559,37, Private,253420, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+17560,35, Private,269300, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17561,18, Private,282609, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, Honduras, <=50K
+17562,46, Private,346978, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+17563,71, Private,182395, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,11678,0,45, United-States, >50K
+17564,44, Private,205051, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+17565,45, Private,128736, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17566,40, Private,236110, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K
+17567,38, Private,312271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+17568,52, Private,126978, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K
+17569,47, Private,204692, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17570,49, Private,195956, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,35, United-States, <=50K
+17571,59, State-gov,202682, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+17572,22, Private,231912, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K
+17573,44, Local-gov,24982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17574,76, Private,278938, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+17575,50, Local-gov,36489, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17576,33, Local-gov,154874, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+17577,43, Private,74581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+17578,27, Private,311446, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K
+17579,37, Self-emp-inc,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17580,40, Private,239708, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+17581,49, Self-emp-not-inc,162856, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+17582,48, Self-emp-inc,85109, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+17583,49, Private,169042, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,625,40, Puerto-Rico, <=50K
+17584,22, Private,436798, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17585,42, Private,345363, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K
+17586,36, Private,49837, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17587,57, ?,296516, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+17588,30, State-gov,180283, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17589,40, Local-gov,95639, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17590,42, Private,33155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+17591,56, Private,329059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, >50K
+17592,55, Private,24694, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17593,25, Private,443855, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+17594,52, ?,294691, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+17595,33, Private,301867, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K
+17596,55, Private,226875, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+17597,47, Private,362835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+17598,23, Private,180339, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,65, United-States, <=50K
+17599,55, Self-emp-inc,207489, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, Germany, <=50K
+17600,43, Private,336643, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+17601,31, Private,143653, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+17602,62, State-gov,101475, Assoc-acdm,12, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17603,42, Local-gov,263871, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,8, United-States, <=50K
+17604,38, Self-emp-not-inc,77820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17605,29, Private,95465, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K
+17606,26, Private,257910, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K
+17607,26, Private,244372, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,52, United-States, >50K
+17608,37, Self-emp-not-inc,126738, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+17609,79, Self-emp-inc,97082, 12th,8, Widowed, Sales, Not-in-family, White, Male,18481,0,45, United-States, >50K
+17610,61, Private,133164, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+17611,28, Self-emp-not-inc,104617, 7th-8th,4, Never-married, Other-service, Other-relative, White, Female,0,0,99, Mexico, <=50K
+17612,60, Self-emp-inc,105339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+17613,51, Self-emp-inc,258735, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,81, United-States, <=50K
+17614,34, Private,182926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K
+17615,35, Private,166193, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+17616,27, Local-gov,206125, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+17617,44, Private,346594, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+17618,25, Private,108301, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+17619,32, Private,73498, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+17620,36, Private,129150, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K
+17621,27, Private,181280, Masters,14, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K
+17622,40, Private,146908, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+17623,43, Private,183765, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, ?, >50K
+17624,25, Private,164488, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17625,41, Private,307468, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+17626,30, Private,93884, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+17627,26, Private,279833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,45, United-States, >50K
+17628,52, Private,137658, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K
+17629,32, Private,101562, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+17630,33, Private,136331, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17631,35, Private,259846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+17632,48, Private,98719, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,44, United-States, <=50K
+17633,62, Self-emp-not-inc,168682, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, <=50K
+17634,40, Self-emp-not-inc,198953, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Female,0,0,2, United-States, <=50K
+17635,41, ?,29115, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+17636,28, Private,173673, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+17637,23, Private,67958, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+17638,50, Federal-gov,98980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+17639,51, State-gov,94174, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+17640,63, Self-emp-not-inc,122442, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K
+17641,63, Federal-gov,154675, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17642,40, Private,116632, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+17643,20, ?,238685, 11th,7, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17644,61, ?,139391, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,99999,0,30, United-States, >50K
+17645,40, Private,169031, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17646,41, Private,237452, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, Cuba, >50K
+17647,41, Private,216968, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, ?, <=50K
+17648,27, ?,216479, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,24, United-States, >50K
+17649,20, State-gov,126822, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+17650,28, Private,51461, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K
+17651,35, Private,54953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17652,31, Private,222654, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17653,34, Private,37676, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+17654,57, Private,159319, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+17655,28, Private,125321, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17656,38, Private,209609, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+17657,37, Private,224947, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17658,43, State-gov,438427, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17659,26, Self-emp-not-inc,384276, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17660,26, Private,196805, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,65, United-States, <=50K
+17661,27, Private,242097, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+17662,33, Private,184306, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+17663,45, Private,161954, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K
+17664,65, Private,258561, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+17665,57, Self-emp-not-inc,95280, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K
+17666,59, Private,212783, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+17667,18, Private,205004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,26, United-States, <=50K
+17668,44, Local-gov,387844, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17669,37, Private,83880, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17670,27, Private,161155, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+17671,43, Local-gov,265698, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+17672,59, Self-emp-inc,146477, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17673,19, Private,97261, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17674,36, State-gov,437890, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Male,0,0,90, United-States, <=50K
+17675,68, Self-emp-not-inc,133736, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K
+17676,63, Private,169983, 11th,7, Widowed, Sales, Not-in-family, White, Female,2176,0,30, United-States, <=50K
+17677,37, Private,126675, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, <=50K
+17678,46, Local-gov,175754, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,60, United-States, <=50K
+17679,31, Private,121768, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Poland, <=50K
+17680,23, Private,180052, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+17681,22, Private,124454, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+17682,49, Private,190115, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,44, United-States, <=50K
+17683,36, Private,222584, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17684,38, Private,22245, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17685,46, Local-gov,114160, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K
+17686,24, Private,228960, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+17687,26, Private,132572, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+17688,47, Private,103020, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Puerto-Rico, <=50K
+17689,40, Private,187802, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K
+17690,31, Local-gov,50649, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+17691,42, Private,137698, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+17692,48, Self-emp-inc,30575, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K
+17693,56, Private,202220, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,38, United-States, <=50K
+17694,50, Private,50178, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+17695,17, Private,207791, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+17696,21, Private,540712, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,1719,25, United-States, <=50K
+17697,50, Private,321770, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17698,49, Private,202053, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K
+17699,34, Private,143699, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K
+17700,32, Self-emp-not-inc,115066, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+17701,28, Private,223751, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+17702,62, Self-emp-inc,354075, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+17703,23, Private,32732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K
+17704,24, State-gov,390867, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17705,31, Private,101697, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+17706,36, Private,279721, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+17707,58, Private,223400, Assoc-acdm,12, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,35, Poland, <=50K
+17708,46, ?,206357, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K
+17709,39, Private,76417, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17710,48, ?,184682, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K
+17711,21, Private,78170, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K
+17712,39, Private,201410, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17713,21, Private,189013, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+17714,33, Private,119913, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17715,37, Private,549174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+17716,29, Local-gov,214706, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+17717,30, ?,33811, Bachelors,13, Married-civ-spouse, ?, Wife, Other, Female,0,0,40, Taiwan, >50K
+17718,43, Private,234220, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, Cuba, <=50K
+17719,22, Private,237720, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17720,25, Private,185942, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K
+17721,69, Local-gov,286983, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+17722,17, Private,140027, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+17723,18, ?,115258, 11th,7, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K
+17724,54, Private,155408, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+17725,65, ?,117963, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K
+17726,28, Private,158737, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Ecuador, <=50K
+17727,27, Local-gov,199471, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K
+17728,35, Private,287701, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, >50K
+17729,38, Private,137707, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+17730,33, State-gov,108116, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17731,26, Private,366900, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+17732,56, Self-emp-inc,187355, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, Canada, >50K
+17733,38, Private,33105, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,70, United-States, >50K
+17734,51, Self-emp-not-inc,268639, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2057,60, Canada, <=50K
+17735,26, Private,358975, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, Hungary, <=50K
+17736,33, Private,199227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+17737,44, Private,248249, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+17738,36, Private,460437, 9th,5, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17739,42, Private,187294, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+17740,44, Private,115932, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17741,44, Private,181762, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,55, United-States, >50K
+17742,21, Private,27049, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+17743,41, Private,806552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+17744,41, Private,150755, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, Canada, >50K
+17745,62, Private,69867, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K
+17746,27, Private,160786, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, Germany, <=50K
+17747,38, Private,219546, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+17748,60, Private,24872, Some-college,10, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K
+17749,24, Private,110371, 12th,8, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K
+17750,24, ?,376474, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+17751,22, Private,304602, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+17752,32, ?,143699, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+17753,22, Private,238917, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, Mexico, <=50K
+17754,51, Private,200618, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17755,31, Private,183043, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K
+17756,42, Local-gov,209752, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+17757,48, ?,175653, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,14084,0,40, United-States, >50K
+17758,49, Private,196707, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,43, United-States, >50K
+17759,37, Local-gov,98725, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,42, United-States, <=50K
+17760,37, Self-emp-not-inc,180150, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+17761,66, Private,151227, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+17762,18, ?,118847, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K
+17763,46, Private,282538, Assoc-voc,11, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17764,52, Private,89534, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17765,23, Private,291011, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17766,67, Private,166187, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, >50K
+17767,19, Private,188669, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+17768,37, Private,178948, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+17769,42, Self-emp-inc,188738, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, Italy, >50K
+17770,39, Self-emp-not-inc,160808, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+17771,54, Private,93605, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K
+17772,46, Private,318331, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17773,47, ?,109921, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K
+17774,33, Private,87605, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17775,69, Self-emp-not-inc,89477, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,14, United-States, <=50K
+17776,21, Private,48301, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+17777,27, Private,220748, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,48, United-States, <=50K
+17778,39, Private,387068, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+17779,23, Private,250743, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+17780,26, Private,78258, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K
+17781,42, Private,31387, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+17782,36, Private,289190, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+17783,24, Private,604537, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K
+17784,35, Private,328466, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+17785,42, Private,403187, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17786,37, Private,219546, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,44, United-States, >50K
+17787,41, Private,220531, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+17788,27, Private,204648, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17789,42, Self-emp-not-inc,201908, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+17790,44, ?,109912, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, >50K
+17791,18, Private,365683, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+17792,41, Private,175674, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+17793,31, Private,203488, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17794,26, Private,106406, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17795,67, Private,172756, 1st-4th,2, Widowed, Machine-op-inspct, Not-in-family, White, Female,2062,0,34, Ecuador, <=50K
+17796,37, Private,125167, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+17797,51, Private,249339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17798,26, Private,94652, Some-college,10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17799,40, Private,195394, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+17800,25, Private,130302, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+17801,38, Private,66686, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+17802,43, Private,336042, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17803,23, Private,193586, Some-college,10, Separated, Farming-fishing, Other-relative, White, Female,0,0,40, United-States, <=50K
+17804,44, Private,325461, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+17805,60, Local-gov,313852, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K
+17806,38, Local-gov,30509, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,55, United-States, <=50K
+17807,21, Local-gov,32639, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+17808,18, Private,234953, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+17809,49, Private,120629, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,27828,0,60, United-States, >50K
+17810,43, Private,350379, 5th-6th,3, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K
+17811,26, ?,176967, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,65, United-States, <=50K
+17812,36, Private,36423, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, >50K
+17813,31, Private,123397, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,5178,0,35, United-States, >50K
+17814,38, Private,130813, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+17815,43, Self-emp-not-inc,35236, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K
+17816,58, Private,33350, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+17817,55, Private,177380, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,29, United-States, <=50K
+17818,39, Private,216129, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, Jamaica, <=50K
+17819,38, Private,335104, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17820,54, Self-emp-not-inc,199741, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,2001,35, United-States, <=50K
+17821,57, Self-emp-inc,165881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17822,35, Local-gov,387777, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K
+17823,44, Self-emp-not-inc,149943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, Taiwan, >50K
+17824,36, Private,188834, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17825,58, Private,290661, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+17826,39, Private,155603, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,2205,40, United-States, <=50K
+17827,25, Private,114838, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, Italy, <=50K
+17828,54, Local-gov,168553, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17829,23, Private,103064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17830,37, Private,123833, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+17831,60, Federal-gov,55621, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+17832,66, Local-gov,189834, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+17833,36, Private,217926, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K
+17834,29, Self-emp-not-inc,341672, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,1564,50, India, >50K
+17835,29, Private,163003, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,2202,0,40, Taiwan, <=50K
+17836,25, Private,194352, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, <=50K
+17837,62, ?,54878, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+17838,23, Private,393248, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+17839,38, Private,279315, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+17840,33, Private,392812, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K
+17841,49, Self-emp-inc,34998, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+17842,57, Self-emp-inc,51016, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+17843,57, Local-gov,132717, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+17844,46, Private,186078, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K
+17845,37, Self-emp-inc,196123, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+17846,43, Self-emp-inc,304906, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+17847,26, Private,41521, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17848,40, Private,346847, Assoc-voc,11, Separated, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+17849,39, Self-emp-not-inc,107233, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17850,39, Private,150125, Assoc-acdm,12, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17851,31, Private,400535, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+17852,31, Private,409622, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,36, Mexico, <=50K
+17853,27, Private,136448, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+17854,36, Self-emp-not-inc,202950, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, <=50K
+17855,40, Local-gov,197012, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,8614,0,40, England, >50K
+17856,57, Private,237691, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+17857,24, Private,170277, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17858,30, Private,160784, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+17859,28, Private,33798, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17860,22, Private,197838, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17861,31, Private,223212, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+17862,33, Private,125762, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K
+17863,20, Private,283969, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,15, United-States, <=50K
+17864,25, Private,374163, 12th,8, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,60, Mexico, <=50K
+17865,49, State-gov,118567, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+17866,21, Private,147655, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+17867,45, Private,82797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+17868,36, Local-gov,142573, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+17869,41, Private,235167, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,32, Mexico, <=50K
+17870,23, Private,53245, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1602,12, United-States, <=50K
+17871,47, Private,28035, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+17872,41, Private,247082, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+17873,30, Private,123397, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+17874,29, Local-gov,133327, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17875,31, Private,102270, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+17876,64, ?,45817, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+17877,55, Private,240988, 9th,5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+17878,19, Private,386378, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+17879,31, State-gov,350651, 12th,8, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+17880,18, State-gov,76142, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K
+17881,68, Private,73773, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K
+17882,50, ?,281504, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+17883,36, Local-gov,293358, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,48, United-States, <=50K
+17884,44, Private,146906, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+17885,58, Self-emp-not-inc,331474, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+17886,20, Private,213719, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+17887,18, Private,101795, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+17888,32, Private,228265, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K
+17889,49, Self-emp-not-inc,130206, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17890,34, Private,324254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+17891,22, Private,223019, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17892,40, Private,189666, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K
+17893,35, Private,139086, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17894,26, Private,359327, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, <=50K
+17895,44, Self-emp-not-inc,75065, 12th,8, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Vietnam, <=50K
+17896,55, Private,139843, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+17897,21, Private,34310, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2603,40, United-States, <=50K
+17898,54, Private,346014, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K
+17899,39, Local-gov,163278, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,2202,0,44, United-States, <=50K
+17900,52, Private,31460, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K
+17901,57, Self-emp-inc,33725, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+17902,67, ?,63552, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17903,58, State-gov,300623, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+17904,27, Local-gov,177072, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,16, United-States, <=50K
+17905,66, ?,37331, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+17906,41, Private,167725, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17907,18, Private,131180, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,16, United-States, <=50K
+17908,58, Private,275859, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,8614,0,52, Mexico, >50K
+17909,50, Private,275181, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Male,0,0,37, Cuba, <=50K
+17910,31, Private,398988, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17911,32, Private,222654, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17912,37, Self-emp-not-inc,111129, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+17913,26, Self-emp-not-inc,137795, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+17914,33, Local-gov,242150, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+17915,35, State-gov,237873, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17916,44, Private,367749, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K
+17917,26, Private,206600, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K
+17918,48, Federal-gov,247043, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17919,40, Private,187702, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17920,62, Private,41718, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+17921,37, Private,151835, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+17922,18, Private,118938, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K
+17923,48, Private,224870, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Other, Female,0,0,38, Ecuador, <=50K
+17924,45, Private,178341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+17925,35, Private,61343, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+17926,35, Private,36989, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+17927,34, Self-emp-not-inc,226296, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,51, United-States, <=50K
+17928,29, Private,186624, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Cuba, <=50K
+17929,19, Private,172582, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+17930,53, State-gov,227392, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K
+17931,49, Private,187563, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17932,71, Private,137499, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,16, United-States, <=50K
+17933,38, Private,239397, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, Mexico, <=50K
+17934,39, Local-gov,327164, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+17935,23, Private,140798, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+17936,29, Self-emp-inc,187450, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+17937,52, Private,194580, 5th-6th,3, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K
+17938,41, Private,372682, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+17939,20, Private,235442, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+17940,30, Private,128065, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+17941,56, Private,91545, 10th,6, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K
+17942,26, Private,154604, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+17943,36, Federal-gov,192150, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+17944,26, Local-gov,216522, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,42, United-States, <=50K
+17945,58, Private,156040, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1848,40, United-States, >50K
+17946,24, Private,206861, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+17947,41, Private,97632, Some-college,10, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,32, United-States, <=50K
+17948,27, Private,189530, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+17949,28, State-gov,381789, Some-college,10, Separated, Exec-managerial, Own-child, White, Male,0,2339,40, United-States, <=50K
+17950,57, Self-emp-inc,368797, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+17951,21, State-gov,41183, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+17952,50, Private,191062, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+17953,27, Private,132963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+17954,58, Private,153551, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+17955,27, Self-emp-not-inc,66473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+17956,36, Private,240323, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K
+17957,68, Local-gov,242095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,40, United-States, >50K
+17958,33, Self-emp-inc,128016, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+17959,19, Private,29526, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K
+17960,26, Private,342953, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17961,37, Private,215476, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,30, United-States, <=50K
+17962,53, Private,231919, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+17963,32, Private,52537, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,38, United-States, <=50K
+17964,18, Private,27920, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K
+17965,53, Private,153052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+17966,40, Self-emp-not-inc,199303, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+17967,50, Private,233369, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+17968,43, Private,345789, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K
+17969,60, Private,238913, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, >50K
+17970,28, Self-emp-not-inc,195607, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+17971,34, Private,245173, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,1669,45, United-States, <=50K
+17972,37, Private,138441, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17973,25, Private,67467, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+17974,46, Private,102569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K
+17975,21, Private,213341, 11th,7, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0,1762,40, Dominican-Republic, <=50K
+17976,26, Private,37202, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+17977,47, Private,140219, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+17978,18, Private,298860, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+17979,22, Private,51362, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K
+17980,36, Private,199947, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+17981,59, Self-emp-not-inc,32552, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+17982,33, Private,183845, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, El-Salvador, <=50K
+17983,33, Private,181091, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, England, <=50K
+17984,53, Self-emp-inc,135643, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K
+17985,44, State-gov,96249, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K
+17986,55, Private,181220, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+17987,56, Private,133025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+17988,54, Self-emp-not-inc,124865, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+17989,51, Private,45599, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+17990,31, Private,194293, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,2463,0,38, United-States, <=50K
+17991,43, Private,102180, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+17992,44, Private,121130, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+17993,22, Private,138768, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K
+17994,43, State-gov,98989, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+17995,26, State-gov,126327, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+17996,30, Private,113364, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K
+17997,30, Private,326199, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K
+17998,46, Private,376789, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K
+17999,27, Private,137063, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+18000,26, Private,279145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+18001,36, Private,178815, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K
+18002,25, Self-emp-not-inc,245369, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+18003,30, Federal-gov,49593, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+18004,46, State-gov,238648, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,40, United-States, >50K
+18005,47, Private,166181, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,48, United-States, >50K
+18006,66, Self-emp-inc,249043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5556,0,26, United-States, >50K
+18007,43, Private,156403, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+18008,71, ?,128529, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+18009,36, Federal-gov,186934, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1848,55, United-States, >50K
+18010,46, ?,148489, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+18011,44, Local-gov,387770, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K
+18012,42, Private,115511, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+18013,39, Private,201410, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,45, Philippines, >50K
+18014,36, Private,220585, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+18015,60, Self-emp-not-inc,282066, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K
+18016,37, Private,280966, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+18017,26, Private,291586, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+18018,24, Private,142227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+18019,17, ?,104025, 11th,7, Never-married, ?, Own-child, White, Male,0,0,18, United-States, <=50K
+18020,45, Local-gov,148254, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+18021,54, Private,170562, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+18022,22, Private,222490, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+18023,63, Local-gov,57674, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+18024,22, Private,233624, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+18025,27, Private,42734, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+18026,33, Private,233107, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,33, Mexico, <=50K
+18027,64, Private,143110, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+18028,50, Private,195844, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+18029,44, Self-emp-not-inc,115896, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+18030,31, Private,303851, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+18031,44, Private,172475, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+18032,53, Self-emp-not-inc,30008, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+18033,33, Local-gov,147921, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+18034,34, Federal-gov,172716, 12th,8, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, United-States, <=50K
+18035,27, Private,155057, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+18036,43, ?,152569, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,2339,36, United-States, <=50K
+18037,80, Self-emp-not-inc,132728, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K
+18038,31, Private,195136, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+18039,40, Private,377322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+18040,53, Local-gov,293941, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+18041,58, Private,182123, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K
+18042,38, Private,32528, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18043,33, Private,140206, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+18044,48, Local-gov,378221, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Mexico, >50K
+18045,23, Private,211601, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K
+18046,31, Self-emp-not-inc,119411, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+18047,52, Self-emp-not-inc,240013, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+18048,24, Private,95552, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+18049,45, Self-emp-not-inc,183710, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+18050,36, Private,189382, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+18051,52, Private,380633, 5th-6th,3, Widowed, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+18052,54, Private,53407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18053,39, Private,150480, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+18054,40, Private,175674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+18055,28, Private,375313, HS-grad,9, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K
+18056,21, ?,278391, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K
+18057,23, Private,212888, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18058,36, Self-emp-inc,487085, 7th-8th,4, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+18059,22, Private,174461, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+18060,55, Local-gov,133201, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+18061,71, Private,77253, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,17, United-States, <=50K
+18062,47, Private,141511, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+18063,17, Self-emp-inc,181608, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K
+18064,31, Private,127610, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+18065,32, Private,154571, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+18066,46, Private,33842, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K
+18067,27, Private,150080, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+18068,39, Federal-gov,30916, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+18069,40, Private,151294, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K
+18070,30, Private,48829, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1602,30, United-States, <=50K
+18071,17, Private,193769, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K
+18072,33, Private,277455, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18073,72, Private,225780, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+18074,34, Federal-gov,436341, Some-college,10, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+18075,65, Private,255386, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K
+18076,36, Private,174938, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K
+18077,32, Private,174789, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+18078,26, Private,245628, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Mexico, <=50K
+18079,22, Private,228752, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18080,47, Private,354148, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,48, United-States, >50K
+18081,31, Private,192900, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18082,28, Self-emp-not-inc,190391, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18083,38, Private,353263, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, Italy, >50K
+18084,34, Private,113198, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,28, United-States, <=50K
+18085,44, Private,207578, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+18086,27, Private,93206, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+18087,50, Local-gov,163998, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K
+18088,47, Private,111961, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K
+18089,20, Private,219122, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18090,24, Private,111445, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K
+18091,29, Federal-gov,309778, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+18092,37, Local-gov,223020, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+18093,42, Private,303155, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18094,20, ?,41035, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+18095,68, Private,159191, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18096,22, Local-gov,244408, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+18097,72, Self-emp-not-inc,473748, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+18098,45, Federal-gov,71823, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K
+18099,30, Local-gov,83066, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+18100,33, Private,150154, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18101,43, Private,190786, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+18102,56, Private,178033, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,4416,0,60, United-States, <=50K
+18103,25, Self-emp-not-inc,159909, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+18104,41, Private,190885, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K
+18105,25, Private,243786, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K
+18106,31, State-gov,124020, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+18107,36, Private,159016, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K
+18108,37, Private,183800, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18109,58, Self-emp-not-inc,193434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+18110,26, Private,245029, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+18111,55, Private,98746, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, Canada, >50K
+18112,46, Federal-gov,140664, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+18113,44, Private,344920, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,1617,20, United-States, <=50K
+18114,44, Private,169980, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, <=50K
+18115,28, State-gov,155397, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+18116,42, Private,245317, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+18117,41, Private,74182, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18118,39, Private,280570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+18119,64, Self-emp-not-inc,30664, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+18120,20, Private,109952, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+18121,45, Local-gov,192793, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+18122,31, Private,243442, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+18123,36, Federal-gov,106297, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18124,32, Private,328060, 9th,5, Separated, Other-service, Unmarried, Other, Female,0,0,40, Mexico, <=50K
+18125,33, Self-emp-not-inc,48702, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+18126,51, Self-emp-not-inc,111283, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,35, United-States, >50K
+18127,36, Private,484024, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+18128,40, Private,208470, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18129,44, Private,172032, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,51, United-States, >50K
+18130,40, Private,29927, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, England, <=50K
+18131,46, Private,98012, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18132,31, Self-emp-not-inc,108468, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+18133,30, Private,207301, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1980,40, United-States, <=50K
+18134,26, Private,168403, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+18135,25, Private,66935, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+18136,35, Self-emp-not-inc,42044, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18137,29, Private,184806, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Male,0,0,50, United-States, <=50K
+18138,39, Private,1455435, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18139,44, Self-emp-not-inc,445382, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+18140,37, Private,278576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K
+18141,79, Self-emp-not-inc,84979, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K
+18142,36, Private,659504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K
+18143,44, Private,136986, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+18144,23, Private,278107, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1573,30, United-States, <=50K
+18145,27, Private,96219, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+18146,46, Self-emp-not-inc,131091, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+18147,58, Private,205410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18148,36, Private,416745, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K
+18149,36, Private,180667, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,60, United-States, >50K
+18150,21, Private,72119, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+18151,41, State-gov,108945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,14344,0,40, United-States, >50K
+18152,49, Federal-gov,195949, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+18153,34, Private,101345, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+18154,29, Private,439263, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, Peru, <=50K
+18155,63, Private,213095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+18156,29, Federal-gov,59932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18157,65, Private,172815, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+18158,26, Private,40915, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+18159,42, Private,139012, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K
+18160,44, Private,121781, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,37, United-States, <=50K
+18161,51, ?,130667, HS-grad,9, Separated, ?, Not-in-family, Black, Male,0,0,6, United-States, <=50K
+18162,41, Self-emp-not-inc,147110, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,25, United-States, <=50K
+18163,22, Local-gov,237811, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, Haiti, <=50K
+18164,36, ?,128640, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K
+18165,18, Private,111476, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+18166,33, Local-gov,289716, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18167,46, Local-gov,141944, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+18168,49, Private,323773, 11th,7, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K
+18169,41, State-gov,176663, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+18170,52, Private,155233, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18171,40, Private,143327, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18172,53, Federal-gov,177212, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+18173,45, Self-emp-not-inc,123088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+18174,30, Local-gov,47085, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18175,56, Private,102106, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+18176,24, Private,235894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18177,71, Self-emp-not-inc,172046, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+18178,20, Self-emp-not-inc,197207, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+18179,26, Private,152452, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+18180,34, Private,172928, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+18181,36, ?,214896, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K
+18182,49, Private,116338, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,653,60, United-States, <=50K
+18183,48, Private,276664, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+18184,22, Private,59924, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+18185,30, Private,194141, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1617,40, United-States, <=50K
+18186,51, Private,95128, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18187,46, Private,292504, Some-college,10, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+18188,32, Self-emp-inc,45796, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+18189,42, Private,119359, Prof-school,15, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,15024,0,40, South, >50K
+18190,52, State-gov,104280, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+18191,57, Private,172291, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K
+18192,35, Private,180988, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K
+18193,52, Private,110748, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+18194,59, ?,556688, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K
+18195,36, Private,22494, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+18196,33, Private,267859, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K
+18197,67, Local-gov,256821, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+18198,31, Self-emp-not-inc,117346, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+18199,31, Private,62374, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+18200,28, Private,314659, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K
+18201,72, ?,114761, 7th-8th,4, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+18202,36, Private,93225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18203,58, Self-emp-not-inc,165315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+18204,56, Private,124771, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+18205,35, Private,27408, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18206,37, Private,198841, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18207,44, Private,271792, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+18208,26, Private,64289, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+18209,51, Private,183390, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18210,31, Private,240771, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,50, United-States, >50K
+18211,30, Private,234919, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, El-Salvador, <=50K
+18212,20, Private,88231, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18213,21, Private,154422, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+18214,37, Private,119098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+18215,53, State-gov,151580, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K
+18216,54, Private,118793, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+18217,32, ?,30499, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,32, United-States, <=50K
+18218,34, ?,166545, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,7688,0,6, United-States, >50K
+18219,30, Private,271710, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K
+18220,43, State-gov,308498, HS-grad,9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+18221,48, Private,172695, Assoc-voc,11, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+18222,42, Self-emp-not-inc,29962, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+18223,62, Private,200332, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+18224,31, Private,291702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18225,22, Private,67234, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+18226,45, Private,168038, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K
+18227,34, Private,137814, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+18228,64, Private,126233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+18229,42, Self-emp-not-inc,79036, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+18230,60, Self-emp-not-inc,327474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+18231,44, Private,145160, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,58, United-States, <=50K
+18232,67, ?,37092, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K
+18233,45, Private,129387, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, ?, <=50K
+18234,53, Self-emp-not-inc,33304, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+18235,37, Private,359001, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,50, United-States, >50K
+18236,32, ?,143162, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+18237,23, Private,133515, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+18238,28, Private,168901, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+18239,55, Private,750972, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K
+18240,58, Private,142924, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, >50K
+18241,74, Self-emp-inc,228075, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,25, United-States, >50K
+18242,27, Private,91189, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+18243,37, Private,290609, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+18244,22, ?,31102, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,4, South, <=50K
+18245,44, Self-emp-not-inc,216921, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, United-States, <=50K
+18246,23, Private,120046, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+18247,41, Private,324629, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Yugoslavia, <=50K
+18248,45, Private,81132, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, >50K
+18249,29, Private,160279, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+18250,33, Private,229732, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K
+18251,61, Local-gov,144723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+18252,29, Private,148431, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, Other, Female,7688,0,45, United-States, >50K
+18253,22, Private,160398, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,38, United-States, <=50K
+18254,28, Private,129460, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K
+18255,30, Private,252752, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+18256,20, Private,58222, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+18257,28, ?,424884, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+18258,45, Private,114459, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+18259,19, ?,46400, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K
+18260,42, Private,223934, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+18261,34, Private,84119, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+18262,31, Private,159123, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+18263,23, Private,195532, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+18264,50, Private,191299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+18265,40, Private,198316, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18266,57, Private,162301, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+18267,35, Private,143152, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,27, United-States, <=50K
+18268,24, Private,92609, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K
+18269,27, Private,247819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K
+18270,27, Local-gov,229223, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, >50K
+18271,45, Self-emp-inc,142719, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18272,80, Private,86111, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+18273,23, State-gov,35633, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18274,46, Private,164749, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18275,38, Private,607848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+18276,50, Private,173630, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+18277,90, Private,311184, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, ?, <=50K
+18278,55, Private,49737, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+18279,72, Private,183616, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, England, <=50K
+18280,65, Private,129426, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18281,37, Private,454915, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18282,39, State-gov,55568, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+18283,38, Private,29874, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18284,46, Private,393715, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+18285,50, Private,143953, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+18286,54, Private,90363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18287,40, Private,53727, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+18288,30, Private,130021, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K
+18289,50, Private,173630, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+18290,28, Private,410351, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+18291,34, Private,399386, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K
+18292,55, Private,157932, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18293,20, Private,133061, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+18294,19, ?,46400, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K
+18295,21, Private,107895, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K
+18296,39, Private,63021, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+18297,43, Private,186144, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18298,33, Local-gov,27959, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+18299,26, Private,179569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18300,45, State-gov,101299, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+18301,31, State-gov,113129, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,65, United-States, <=50K
+18302,32, Private,316470, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Mexico, <=50K
+18303,60, Self-emp-not-inc,89884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+18304,41, Private,32121, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+18305,21, Private,315303, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K
+18306,27, Private,254500, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K
+18307,33, Private,419895, 5th-6th,3, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K
+18308,43, Private,159549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18309,27, Private,160786, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+18310,18, Self-emp-not-inc,258474, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+18311,48, Self-emp-not-inc,370119, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18312,37, Private,50837, 7th-8th,4, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18313,58, Private,137506, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+18314,57, Private,548256, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,40, United-States, >50K
+18315,42, Local-gov,175642, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,99999,0,40, United-States, >50K
+18316,24, Private,183594, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+18317,26, Private,341353, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K
+18318,43, Self-emp-inc,247981, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,5455,0,50, United-States, <=50K
+18319,34, Private,193565, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18320,38, Private,39606, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+18321,51, Self-emp-not-inc,127149, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K
+18322,31, ?,233371, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,45, United-States, <=50K
+18323,49, Self-emp-not-inc,182752, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K
+18324,26, Private,269060, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+18325,28, Private,179949, HS-grad,9, Divorced, Transport-moving, Unmarried, Black, Female,0,0,20, United-States, <=50K
+18326,22, Federal-gov,32950, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,37, United-States, <=50K
+18327,26, Private,160445, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18328,45, Private,223999, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,1848,40, United-States, >50K
+18329,39, Private,81487, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,625,40, United-States, <=50K
+18330,23, Private,314539, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18331,62, ?,337721, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+18332,42, Local-gov,100793, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+18333,39, Federal-gov,255407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18334,43, Federal-gov,92775, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18335,33, Self-emp-not-inc,33308, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K
+18336,68, State-gov,493363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+18337,30, ?,159589, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,46, United-States, >50K
+18338,32, Private,107218, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+18339,25, Private,123586, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Male,0,0,40, United-States, <=50K
+18340,53, Private,158352, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,24, Italy, <=50K
+18341,38, Private,76317, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+18342,62, ?,176753, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+18343,20, Private,122346, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+18344,26, Private,463194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18345,23, Private,162228, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+18346,43, State-gov,115005, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18347,29, State-gov,183285, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,36, United-States, <=50K
+18348,34, Private,169605, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+18349,24, Private,450695, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+18350,44, Local-gov,124692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+18351,19, Private,63918, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18352,47, Private,102569, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+18353,40, Private,289309, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K
+18354,45, Private,101825, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+18355,43, Private,206833, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,45, United-States, <=50K
+18356,22, ?,77873, 9th,5, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+18357,50, Private,145333, Doctorate,16, Divorced, Prof-specialty, Other-relative, White, Male,10520,0,50, United-States, >50K
+18358,72, ?,194548, Some-college,10, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K
+18359,29, Private,206351, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18360,47, Private,198200, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18361,24, Private,140001, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, El-Salvador, <=50K
+18362,22, ?,287988, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K
+18363,21, Private,143604, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+18364,30, Self-emp-not-inc,146161, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+18365,37, Private,196529, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2354,0,40, ?, <=50K
+18366,74, Self-emp-not-inc,192413, Prof-school,15, Divorced, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K
+18367,70, Self-emp-not-inc,139889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,70, United-States, <=50K
+18368,27, Private,104917, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18369,32, Local-gov,161478, Bachelors,13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,46, United-States, <=50K
+18370,30, Private,35644, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+18371,29, Local-gov,116751, Assoc-voc,11, Divorced, Protective-serv, Unmarried, White, Male,0,0,56, United-States, <=50K
+18372,18, Private,238867, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,1602,40, United-States, <=50K
+18373,31, Private,265706, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+18374,39, State-gov,179668, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K
+18375,21, Private,57951, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+18376,31, Private,176711, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K
+18377,33, Local-gov,368675, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+18378,39, Private,216149, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K
+18379,29, Private,173851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18380,34, Private,90705, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1485,40, United-States, <=50K
+18381,52, State-gov,216342, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K
+18382,35, Private,140752, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+18383,33, Private,116508, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18384,40, ?,224361, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,5, Cuba, <=50K
+18385,43, Private,180303, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+18386,66, ?,196736, 1st-4th,2, Never-married, ?, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+18387,51, Local-gov,110327, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+18388,36, Private,185607, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+18389,17, Local-gov,244856, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+18390,32, Private,198068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18391,39, Private,97136, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+18392,19, Self-emp-inc,164658, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K
+18393,54, Private,235693, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+18394,45, Private,197038, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+18395,47, Local-gov,97419, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+18396,49, Self-emp-not-inc,208872, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,98, United-States, <=50K
+18397,32, Private,205528, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18398,28, Self-emp-inc,146042, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+18399,39, Self-emp-inc,222641, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18400,27, Self-emp-inc,376936, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18401,42, Local-gov,138077, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, >50K
+18402,24, Private,155913, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, <=50K
+18403,45, Private,36006, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+18404,19, Private,214678, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+18405,46, Private,369538, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+18406,50, Private,166565, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18407,32, Private,257043, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K
+18408,47, Self-emp-inc,181130, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+18409,69, ?,254834, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,10605,0,10, United-States, >50K
+18410,43, Self-emp-not-inc,38876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+18411,29, Private,187073, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18412,43, Federal-gov,156996, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2415,55, ?, >50K
+18413,90, Private,313749, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K
+18414,41, Private,331651, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, Japan, >50K
+18415,24, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K
+18416,24, Private,32921, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+18417,24, Private,117167, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,53, United-States, <=50K
+18418,35, Private,401930, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,42, United-States, >50K
+18419,30, Private,114691, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+18420,46, Private,99385, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+18421,19, Local-gov,210308, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1721,30, United-States, <=50K
+18422,39, Private,252327, 9th,5, Separated, Craft-repair, Own-child, White, Male,0,0,35, Mexico, <=50K
+18423,43, Private,90582, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18424,35, Private,190194, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18425,65, Private,264188, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K
+18426,34, Private,243776, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+18427,41, Private,67065, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18428,24, Self-emp-not-inc,204209, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K
+18429,24, Private,226668, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K
+18430,34, Self-emp-inc,174215, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,4787,0,45, France, >50K
+18431,33, Private,315143, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, >50K
+18432,37, Private,118681, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,38, Puerto-Rico, <=50K
+18433,39, Self-emp-not-inc,208109, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+18434,58, Private,116901, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+18435,36, Self-emp-not-inc,405644, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K
+18436,33, Federal-gov,293550, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,4064,0,40, United-States, <=50K
+18437,42, Local-gov,328581, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+18438,31, Private,217962, Some-college,10, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, ?, <=50K
+18439,57, Private,158827, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+18440,67, Federal-gov,65475, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+18441,23, Private,159709, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18442,35, Private,140474, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+18443,43, Private,144778, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Italy, >50K
+18444,39, Self-emp-not-inc,83242, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+18445,36, Private,143385, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18446,29, Local-gov,167544, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,13, United-States, <=50K
+18447,25, Private,122175, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+18448,54, Private,378747, 10th,6, Separated, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, >50K
+18449,24, Private,230475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+18450,50, Self-emp-inc,120781, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, >50K
+18451,70, Private,206232, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+18452,61, Private,298400, Bachelors,13, Divorced, Sales, Not-in-family, Black, Male,4787,0,48, United-States, >50K
+18453,51, Federal-gov,163671, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, <=50K
+18454,38, Self-emp-not-inc,140583, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+18455,51, Private,137253, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+18456,28, Private,246974, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18457,66, Self-emp-not-inc,182470, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K
+18458,57, Self-emp-inc,107617, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, >50K
+18459,44, Self-emp-inc,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, ?, >50K
+18460,29, Private,250819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18461,21, Private,196508, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+18462,42, Private,367533, 10th,6, Married-civ-spouse, Craft-repair, Own-child, Other, Male,0,0,43, United-States, >50K
+18463,74, Private,188709, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+18464,50, Private,271160, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18465,65, Private,173674, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,14, United-States, <=50K
+18466,64, ?,257790, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,38, United-States, <=50K
+18467,44, Private,322391, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+18468,34, Private,209691, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,50, United-States, >50K
+18469,17, Private,104232, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+18470,17, ?,86786, 10th,6, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+18471,43, Private,88233, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+18472,32, Private,240888, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18473,54, Private,169719, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K
+18474,20, Private,129240, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+18475,23, Private,160968, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+18476,34, Private,236861, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K
+18477,30, Private,109282, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+18478,32, Private,215047, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+18479,40, Private,115932, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Ireland, >50K
+18480,28, Private,55360, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+18481,44, Private,224658, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+18482,29, Local-gov,376302, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, Nicaragua, >50K
+18483,28, Private,183597, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,594,0,50, Germany, <=50K
+18484,37, Private,115289, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+18485,56, Self-emp-inc,258883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18486,27, Private,69132, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18487,34, Private,207301, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K
+18488,37, Private,179671, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18489,66, Self-emp-not-inc,140456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+18490,19, Private,327397, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K
+18491,60, Private,200235, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+18492,54, Self-emp-not-inc,108435, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,30, United-States, <=50K
+18493,47, Private,195978, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18494,47, Private,329144, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K
+18495,48, Self-emp-inc,250674, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+18496,57, ?,176897, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+18497,50, Self-emp-inc,132716, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K
+18498,62, Private,174201, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+18499,45, Private,167617, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+18500,55, Local-gov,254949, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+18501,62, Private,319582, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K
+18502,25, Private,248990, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K
+18503,49, Private,144396, 11th,7, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+18504,32, State-gov,200469, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,3887,0,40, United-States, <=50K
+18505,25, Federal-gov,55636, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+18506,39, Private,185624, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+18507,27, Local-gov,125442, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+18508,43, Private,160943, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K
+18509,30, Private,243841, HS-grad,9, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+18510,21, Private,34616, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+18511,33, Private,235847, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+18512,33, Private,174789, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18513,33, Private,280111, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+18514,70, Private,236055, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+18515,25, Private,237865, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,42, United-States, <=50K
+18516,17, Private,194612, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+18517,20, Private,173851, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+18518,19, Private,372483, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,35, United-States, <=50K
+18519,71, Federal-gov,422149, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,40, United-States, >50K
+18520,31, Private,174201, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+18521,26, Private,272618, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+18522,52, Private,74660, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+18523,26, Private,201481, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18524,38, Private,175232, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+18525,25, Private,336440, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18526,22, Private,46645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,9, United-States, <=50K
+18527,48, State-gov,31141, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K
+18528,53, Private,281425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18529,30, Self-emp-not-inc,31510, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18530,44, Private,310255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+18531,32, Federal-gov,82393, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,56, United-States, >50K
+18532,59, Self-emp-not-inc,190514, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+18533,49, Private,165513, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+18534,65, ?,178931, HS-grad,9, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,3818,0,40, United-States, <=50K
+18535,31, Private,226696, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+18536,53, Private,195813, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,5178,0,40, Puerto-Rico, >50K
+18537,44, Private,165815, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18538,36, Private,123983, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,55, Japan, >50K
+18539,36, Private,235371, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18540,37, Private,147258, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+18541,63, ?,222289, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,7688,0,54, United-States, >50K
+18542,67, Self-emp-inc,171564, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051,0,30, England, >50K
+18543,29, Private,255949, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K
+18544,52, Private,186272, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18545,37, Private,282872, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K
+18546,21, Private,111676, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18547,36, Private,199501, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,38, United-States, <=50K
+18548,24, Private,151443, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,30, United-States, <=50K
+18549,31, Private,145935, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K
+18550,54, Federal-gov,230387, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+18551,44, Private,127592, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+18552,18, Private,210828, Some-college,10, Never-married, Handlers-cleaners, Own-child, Other, Male,0,0,30, United-States, <=50K
+18553,41, Private,297186, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K
+18554,37, Self-emp-inc,116554, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K
+18555,30, Private,144593, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K
+18556,26, State-gov,147719, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K
+18557,68, Self-emp-not-inc,89011, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, <=50K
+18558,31, Private,38158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18559,48, Private,178686, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18560,80, ?,172826, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+18561,26, Private,155752, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+18562,63, Private,100099, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18563,19, Private,231688, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+18564,30, ?,147215, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+18565,42, Self-emp-inc,50122, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+18566,64, Federal-gov,86837, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+18567,32, Private,113364, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18568,50, Private,289390, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K
+18569,73, Private,77884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+18570,32, Private,390157, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+18571,53, Private,89587, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,45, United-States, >50K
+18572,58, Private,234328, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18573,37, Local-gov,365430, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+18574,24, Private,410439, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K
+18575,53, Private,129525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+18576,23, Private,166527, Some-college,10, Never-married, Exec-managerial, Own-child, Other, Female,0,0,40, United-States, <=50K
+18577,42, ?,109912, Assoc-acdm,12, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K
+18578,30, Private,210906, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K
+18579,38, Private,405284, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+18580,28, Private,138269, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18581,19, Private,25429, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+18582,45, Private,231672, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+18583,26, Private,258550, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+18584,33, Private,268147, 9th,5, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+18585,29, Private,54411, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, ?, <=50K
+18586,54, Private,37289, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K
+18587,23, Private,157951, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+18588,43, Self-emp-inc,225165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+18589,37, Private,238049, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, El-Salvador, <=50K
+18590,31, Private,197252, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+18591,56, Self-emp-inc,216636, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, United-States, <=50K
+18592,25, Private,183575, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+18593,17, Private,19752, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,25, United-States, <=50K
+18594,37, Private,103925, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,68, United-States, <=50K
+18595,60, Private,31577, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+18596,59, Federal-gov,61298, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18597,59, Federal-gov,190541, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18598,46, Self-emp-not-inc,366089, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+18599,28, ?,389857, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Male,0,0,16, United-States, <=50K
+18600,33, ?,192644, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18601,24, Private,216129, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1408,50, United-States, <=50K
+18602,29, Private,51944, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,4386,0,40, United-States, >50K
+18603,33, Self-emp-not-inc,67482, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, <=50K
+18604,29, ?,108775, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Dominican-Republic, <=50K
+18605,23, State-gov,279243, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18606,20, Private,278391, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Nicaragua, <=50K
+18607,60, Private,349898, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,44, United-States, <=50K
+18608,44, Private,219441, 10th,6, Never-married, Sales, Unmarried, Other, Female,0,0,35, Dominican-Republic, <=50K
+18609,18, Private,173255, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,1055,0,25, United-States, <=50K
+18610,52, Federal-gov,29623, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+18611,31, Private,217460, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+18612,30, Private,163604, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, >50K
+18613,33, Private,163110, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,40, United-States, <=50K
+18614,20, Private,238685, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+18615,27, ?,251854, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, ?, >50K
+18616,33, Private,213308, Assoc-voc,11, Separated, Adm-clerical, Own-child, Black, Female,0,0,50, United-States, <=50K
+18617,25, Private,193773, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+18618,63, Private,114011, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K
+18619,63, Self-emp-not-inc,52144, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+18620,43, Private,347934, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+18621,58, Private,293399, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18622,70, ?,118630, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,35, United-States, <=50K
+18623,35, Private,127306, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,14344,0,40, United-States, >50K
+18624,42, Private,366180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+18625,20, Local-gov,188950, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,25, United-States, <=50K
+18626,35, Private,189382, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18627,62, Private,24515, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+18628,41, Private,283116, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,1506,0,50, United-States, <=50K
+18629,43, Self-emp-not-inc,182217, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K
+18630,19, Private,552354, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+18631,46, Private,163021, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+18632,47, Private,61885, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+18633,36, Self-emp-not-inc,182898, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+18634,45, Private,183092, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+18635,48, Private,30289, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+18636,29, Private,77572, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+18637,48, State-gov,118330, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+18638,36, Private,469056, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K
+18639,58, Private,145574, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18640,43, Private,302041, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+18641,59, Private,32552, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, United-States, <=50K
+18642,42, Private,185413, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+18643,33, Federal-gov,26543, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+18644,23, Federal-gov,163870, Some-college,10, Never-married, Armed-Forces, Other-relative, White, Male,0,0,40, United-States, <=50K
+18645,21, Private,240063, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+18646,48, Private,208748, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K
+18647,32, Local-gov,84119, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18648,31, Private,84130, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+18649,66, Local-gov,261062, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18650,23, Local-gov,336010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K
+18651,52, Private,389270, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+18652,17, Private,138293, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+18653,35, Private,240389, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K
+18654,39, Private,190297, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K
+18655,21, ?,170070, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,10, United-States, <=50K
+18656,24, Private,149457, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18657,45, Private,81534, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,84, Japan, >50K
+18658,25, Private,378322, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,2001,50, United-States, <=50K
+18659,29, Federal-gov,196912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+18660,56, Private,116143, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,44, United-States, >50K
+18661,34, Self-emp-not-inc,80933, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18662,64, Local-gov,190660, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+18663,27, Private,120155, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,39, United-States, <=50K
+18664,47, Private,167159, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+18665,36, Private,58343, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,42, United-States, >50K
+18666,44, Federal-gov,161240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18667,31, Private,126402, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,60, United-States, <=50K
+18668,23, Private,148709, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K
+18669,45, Local-gov,318280, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+18670,31, Local-gov,80058, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,64, United-States, <=50K
+18671,45, Private,274689, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+18672,42, Private,157367, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, ?, <=50K
+18673,33, Private,217460, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+18674,33, Local-gov,33727, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+18675,30, Self-emp-not-inc,166961, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+18676,25, Private,146117, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K
+18677,33, Private,160216, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,32, ?, <=50K
+18678,70, Self-emp-not-inc,124449, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,8, United-States, >50K
+18679,22, Private,50163, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+18680,30, Private,235271, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+18681,46, Private,121124, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+18682,43, Self-emp-not-inc,144218, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+18683,37, Private,94334, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,25, United-States, <=50K
+18684,59, Self-emp-inc,169982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+18685,51, Self-emp-not-inc,35295, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K
+18686,47, Private,133969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,2885,0,65, Japan, <=50K
+18687,36, Private,35429, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+18688,73, Local-gov,205580, 5th-6th,3, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,6, United-States, <=50K
+18689,32, Local-gov,177794, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18690,34, Private,167474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+18691,51, Local-gov,35211, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+18692,20, Private,117244, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,45, United-States, <=50K
+18693,57, Private,194850, Some-college,10, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Mexico, <=50K
+18694,19, Private,144911, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+18695,45, Private,197240, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+18696,55, Private,101338, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18697,60, Private,148522, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+18698,19, Private,97261, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18699,35, Private,166606, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+18700,20, Private,229414, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+18701,34, Local-gov,209213, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Male,0,0,15, United-States, <=50K
+18702,26, Private,291968, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K
+18703,73, Federal-gov,127858, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,3273,0,40, United-States, <=50K
+18704,27, Private,302406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+18705,37, Self-emp-not-inc,29054, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,84, United-States, <=50K
+18706,73, Self-emp-not-inc,336007, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18707,46, Federal-gov,349230, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,40, United-States, >50K
+18708,36, Local-gov,101481, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18709,54, Self-emp-not-inc,46704, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+18710,49, Private,233639, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+18711,68, Local-gov,31725, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+18712,34, Private,54850, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,50, United-States, <=50K
+18713,30, Private,293512, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+18714,28, Private,375655, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+18715,28, Private,105817, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+18716,25, Local-gov,203408, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+18717,26, Private,162302, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+18718,40, Private,163455, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, >50K
+18719,32, Local-gov,100135, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18720,60, ?,41517, 11th,7, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K
+18721,18, Private,102182, 12th,8, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K
+18722,36, Private,414683, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+18723,26, Private,194352, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+18724,24, Private,194096, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K
+18725,90, Local-gov,153602, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,6767,0,40, United-States, <=50K
+18726,20, Private,215495, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K
+18727,27, Private,164607, Bachelors,13, Separated, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K
+18728,58, Local-gov,34878, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+18729,37, Private,126569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+18730,65, ?,315728, HS-grad,9, Widowed, ?, Unmarried, White, Female,2329,0,75, United-States, <=50K
+18731,28, Private,22422, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18732,36, Local-gov,178222, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+18733,45, Local-gov,56841, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18734,23, Private,300275, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+18735,69, Local-gov,197288, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+18736,58, Self-emp-not-inc,157786, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+18737,22, Private,110684, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+18738,58, Self-emp-not-inc,140729, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+18739,53, Federal-gov,90127, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+18740,44, Self-emp-inc,37997, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+18741,31, Private,61308, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18742,46, Private,171199, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Puerto-Rico, <=50K
+18743,48, Private,128432, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+18744,46, Federal-gov,195023, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18745,43, Private,122473, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,625,40, United-States, <=50K
+18746,43, Private,171888, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18747,17, Self-emp-inc,183784, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+18748,20, Private,219262, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+18749,22, Private,71379, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+18750,19, ?,234519, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+18751,35, Private,96824, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+18752,29, Private,242597, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18753,18, ?,127388, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+18754,25, Private,204536, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+18755,54, Private,143804, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+18756,23, Private,80680, Some-college,10, Married-civ-spouse, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+18757,36, Private,301227, 5th-6th,3, Separated, Priv-house-serv, Unmarried, Other, Female,0,0,35, Mexico, <=50K
+18758,26, Self-emp-not-inc,201930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+18759,25, Local-gov,176616, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+18760,46, Private,353219, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+18761,41, Private,126076, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K
+18762,31, Private,156493, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+18763,48, Federal-gov,435503, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+18764,52, Self-emp-inc,561489, Masters,14, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, <=50K
+18765,22, Federal-gov,100345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,43, United-States, <=50K
+18766,18, Private,36275, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K
+18767,46, Private,110794, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18768,34, Local-gov,143766, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+18769,30, Federal-gov,76313, HS-grad,9, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K
+18770,31, Private,121308, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18771,21, Private,216672, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18772,41, Self-emp-not-inc,89942, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,3674,0,45, United-States, <=50K
+18773,45, State-gov,103406, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K
+18774,30, State-gov,158291, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18775,21, Private,455361, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K
+18776,44, Private,225263, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,1408,46, United-States, <=50K
+18777,54, Private,225307, 11th,7, Divorced, Craft-repair, Own-child, White, Female,0,0,50, United-States, >50K
+18778,36, Private,286115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18779,50, Private,187830, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+18780,26, Private,142506, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K
+18781,47, Local-gov,148576, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+18782,36, Private,185325, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K
+18783,32, Self-emp-not-inc,27939, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+18784,21, Private,383603, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+18785,30, Private,140790, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+18786,34, Private,226629, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+18787,51, Private,228516, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,45, Columbia, <=50K
+18788,55, Self-emp-not-inc,119762, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+18789,43, Private,299197, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+18790,37, Private,149297, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+18791,28, Local-gov,202558, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+18792,39, Private,175232, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+18793,35, Self-emp-not-inc,157473, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18794,59, ?,409842, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+18795,26, Private,105787, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K
+18796,68, Private,144056, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818,0,40, United-States, <=50K
+18797,46, Private,45363, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,2824,40, United-States, >50K
+18798,21, Private,205838, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K
+18799,23, Private,115326, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+18800,17, Private,186890, 10th,6, Married-civ-spouse, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+18801,23, Local-gov,304386, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18802,34, Private,24529, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Male,0,0,15, United-States, <=50K
+18803,33, Private,183557, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18804,31, Private,342730, Assoc-acdm,12, Separated, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+18805,31, ?,182191, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,4064,0,30, Canada, <=50K
+18806,56, Self-emp-not-inc,67841, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+18807,21, Private,351381, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+18808,45, Private,293691, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,1590,40, Japan, <=50K
+18809,41, Self-emp-inc,220821, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+18810,26, Private,190027, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K
+18811,41, Private,343944, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+18812,46, Self-emp-inc,110457, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+18813,47, State-gov,72333, HS-grad,9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+18814,43, Self-emp-not-inc,193494, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+18815,35, Private,334999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+18816,44, Self-emp-not-inc,274363, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18817,58, Self-emp-inc,113806, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,30, United-States, >50K
+18818,25, Private,52536, Assoc-acdm,12, Divorced, Tech-support, Own-child, White, Female,0,1594,25, United-States, <=50K
+18819,44, Private,187720, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+18820,57, Private,104996, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K
+18821,24, Private,214555, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+18822,38, Private,52963, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+18823,33, Private,190511, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,2176,0,35, United-States, <=50K
+18824,25, Private,75821, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+18825,33, Private,123291, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K
+18826,50, Local-gov,226497, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K
+18827,35, Private,282979, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K
+18828,36, Private,166549, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, >50K
+18829,27, Private,187746, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+18830,22, Private,157145, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+18831,30, Private,227551, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18832,90, Private,115306, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+18833,39, Private,169249, HS-grad,9, Separated, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K
+18834,34, State-gov,221966, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+18835,39, Private,224566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+18836,19, Private,28119, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K
+18837,19, Private,323810, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18838,29, Private,210498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+18839,66, Self-emp-not-inc,174995, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,30, Hungary, <=50K
+18840,38, Private,161141, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+18841,44, Private,210534, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+18842,34, Self-emp-not-inc,112650, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+18843,35, State-gov,318891, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18844,29, Local-gov,375655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18845,22, Private,228465, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+18846,33, ?,102130, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+18847,73, Private,183213, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Male,25124,0,60, United-States, >50K
+18848,35, Local-gov,177305, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,40, United-States, <=50K
+18849,41, Private,34037, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18850,27, Self-emp-not-inc,116613, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K
+18851,25, Private,175540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18852,47, Private,150768, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,1564,51, United-States, >50K
+18853,36, Private,176634, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, >50K
+18854,36, Private,209993, 1st-4th,2, Widowed, Other-service, Other-relative, White, Female,0,0,20, Mexico, <=50K
+18855,25, Local-gov,206002, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+18856,37, Private,201259, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+18857,26, Local-gov,202286, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+18858,53, Private,96062, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,40, United-States, <=50K
+18859,36, Local-gov,578377, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+18860,30, Private,509500, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,4787,0,45, United-States, >50K
+18861,53, Local-gov,324021, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18862,37, Self-emp-not-inc,107737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+18863,41, State-gov,129865, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+18864,53, Private,103586, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K
+18865,23, Private,187513, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K
+18866,28, Private,172891, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+18867,53, Local-gov,207449, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+18868,32, Private,209103, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, >50K
+18869,33, Private,408813, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+18870,27, Private,209292, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,32, Dominican-Republic, <=50K
+18871,52, Private,144361, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+18872,31, Private,209538, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K
+18873,27, Private,244402, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+18874,44, Private,889965, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3137,0,30, United-States, <=50K
+18875,37, Self-emp-not-inc,298444, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+18876,39, Private,163237, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+18877,18, Private,311795, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+18878,42, Private,155972, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+18879,49, Private,291783, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18880,35, Private,153535, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,36, United-States, <=50K
+18881,43, Private,249771, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,99, United-States, <=50K
+18882,43, Private,462180, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+18883,31, Private,308540, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18884,27, Private,34701, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18885,46, Federal-gov,106252, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18886,54, Private,138944, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+18887,37, Private,140713, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Jamaica, >50K
+18888,53, Local-gov,216931, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,40, United-States, >50K
+18889,26, Private,162312, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K
+18890,59, Self-emp-inc,253062, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+18891,36, Federal-gov,359249, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+18892,32, Private,231413, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+18893,53, Local-gov,197054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+18894,26, Private,130931, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+18895,35, Private,30565, HS-grad,9, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+18896,48, Private,105138, HS-grad,9, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+18897,30, Local-gov,178383, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+18898,38, Private,241998, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+18899,58, Self-emp-not-inc,196403, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K
+18900,44, Private,232421, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0,0,32, Canada, <=50K
+18901,30, Private,130369, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+18902,68, Self-emp-not-inc,336329, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K
+18903,26, Local-gov,337867, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+18904,26, Local-gov,104614, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+18905,41, Private,223548, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+18906,43, State-gov,506329, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K
+18907,48, Private,64479, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,47, United-States, <=50K
+18908,55, Private,284095, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K
+18909,50, Self-emp-not-inc,221336, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+18910,41, Private,428499, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, >50K
+18911,52, Private,208302, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K
+18912,24, ?,412156, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K
+18913,31, Self-emp-not-inc,182177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+18914,54, Local-gov,129972, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K
+18915,31, Self-emp-not-inc,186420, Masters,14, Separated, Tech-support, Not-in-family, White, Female,0,0,25, United-States, <=50K
+18916,31, Self-emp-inc,203488, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+18917,47, Private,128796, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18918,40, Private,55395, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+18919,46, State-gov,314770, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+18920,45, Private,135044, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18921,39, Private,319248, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,25, Mexico, <=50K
+18922,34, Local-gov,236415, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,18, United-States, <=50K
+18923,48, ?,151584, Some-college,10, Never-married, ?, Not-in-family, White, Male,8614,0,60, United-States, >50K
+18924,19, ?,133983, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+18925,56, Private,81220, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K
+18926,47, Private,151087, HS-grad,9, Separated, Prof-specialty, Other-relative, Other, Female,0,0,40, Puerto-Rico, <=50K
+18927,35, Private,322171, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+18928,25, Private,190628, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K
+18929,43, Local-gov,106982, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+18930,59, Private,227856, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, >50K
+18931,66, ?,213477, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K
+18932,63, Private,266083, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+18933,32, Private,257068, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0,0,37, United-States, <=50K
+18934,58, ?,37591, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18935,43, Self-emp-inc,150533, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, >50K
+18936,27, Private,211184, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K
+18937,21, Private,136610, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K
+18938,44, Federal-gov,244054, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K
+18939,40, Self-emp-not-inc,240698, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+18940,65, Private,172906, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+18941,50, Private,238959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+18942,18, ?,163085, HS-grad,9, Separated, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+18943,51, State-gov,172022, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+18944,44, Federal-gov,218062, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+18945,20, Private,201799, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K
+18946,29, Private,150717, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18947,50, Private,94391, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+18948,50, Local-gov,153064, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+18949,43, Private,156771, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+18950,23, Private,216639, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18951,41, Private,82161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18952,30, ?,159159, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K
+18953,58, Self-emp-not-inc,310014, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+18954,50, State-gov,133014, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+18955,37, Self-emp-not-inc,36214, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K
+18956,21, Private,399022, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K
+18957,33, Private,179758, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K
+18958,52, Private,48947, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+18959,47, Private,201865, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+18960,45, Self-emp-not-inc,319122, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,14084,0,45, United-States, >50K
+18961,34, Private,155151, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+18962,39, Private,24106, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Philippines, >50K
+18963,31, Private,257863, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+18964,19, ?,28967, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18965,45, Private,379393, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K
+18966,45, Self-emp-not-inc,152752, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,3, United-States, <=50K
+18967,34, Private,154874, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,4416,0,30, United-States, <=50K
+18968,27, Private,154210, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, India, <=50K
+18969,37, Private,335716, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+18970,20, Private,94744, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+18971,32, Private,133861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,48, United-States, >50K
+18972,24, Private,240137, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K
+18973,39, Private,80004, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+18974,18, Private,109702, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+18975,62, Self-emp-not-inc,39610, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+18976,24, Private,90046, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+18977,37, Private,193855, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+18978,46, Private,206889, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+18979,44, Private,86298, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+18980,53, Private,149650, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,2559,48, United-States, >50K
+18981,25, Private,323139, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+18982,44, Private,237993, Prof-school,15, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, ?, <=50K
+18983,24, Private,36058, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+18984,61, Private,163393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+18985,45, Local-gov,93535, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+18986,33, Self-emp-not-inc,112952, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K
+18987,48, Private,182541, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+18988,26, Local-gov,73392, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+18989,40, ?,507086, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,32, United-States, <=50K
+18990,68, Private,195868, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K
+18991,24, Private,276851, HS-grad,9, Divorced, Protective-serv, Own-child, White, Female,0,1762,40, United-States, <=50K
+18992,25, ?,39901, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+18993,31, Local-gov,33124, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+18994,55, Private,419732, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+18995,46, Private,171095, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K
+18996,58, Private,199278, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K
+18997,56, Private,235205, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+18998,45, Federal-gov,168232, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, >50K
+18999,24, Private,145964, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K
+19000,35, Local-gov,72338, HS-grad,9, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,56, United-States, <=50K
+19001,51, Private,153870, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+19002,47, Private,323798, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K
+19003,17, Private,198830, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,10, United-States, <=50K
+19004,21, Private,267040, 10th,6, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19005,45, Private,167187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+19006,42, Private,230684, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K
+19007,56, Private,659558, 12th,8, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19008,39, Private,181661, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+19009,31, Private,186144, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0,0,40, Mexico, <=50K
+19010,20, Federal-gov,178517, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19011,65, Self-emp-not-inc,131417, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797,0,21, United-States, <=50K
+19012,44, Private,57233, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+19013,33, Private,379798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19014,25, Private,122175, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+19015,38, Private,107302, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+19016,31, Local-gov,127651, 10th,6, Never-married, Transport-moving, Other-relative, White, Male,0,1741,40, United-States, <=50K
+19017,33, Self-emp-not-inc,102884, Bachelors,13, Married-civ-spouse, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+19018,49, Self-emp-not-inc,241753, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+19019,28, Private,173611, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+19020,29, Private,232666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19021,23, Private,352207, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+19022,37, Self-emp-not-inc,241998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,5, United-States, >50K
+19023,52, Private,279129, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, >50K
+19024,27, Private,177057, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19025,47, Private,155659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,55, United-States, >50K
+19026,21, Private,251603, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19027,41, Federal-gov,19914, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K
+19028,61, Private,115023, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+19029,32, Private,101709, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+19030,21, Private,313702, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19031,63, Private,250068, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+19032,34, Private,227359, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K
+19033,21, State-gov,196827, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K
+19034,44, Private,118550, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K
+19035,26, Private,285004, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,35, South, <=50K
+19036,36, Private,280169, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+19037,39, Private,144608, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K
+19038,52, Private,76860, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,8, Philippines, <=50K
+19039,44, Self-emp-not-inc,167280, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19040,42, Private,334783, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+19041,60, ?,141580, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+19042,31, Private,226443, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19043,30, Private,366065, Some-college,10, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+19044,23, Private,225724, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K
+19045,81, State-gov,132204, 1st-4th,2, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+19046,39, Private,258276, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,3137,0,40, ?, <=50K
+19047,38, Private,197711, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Portugal, <=50K
+19048,21, Private,30619, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+19049,28, Local-gov,335015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19050,34, Private,61272, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19051,47, Private,106544, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19052,36, Private,144169, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19053,27, Private,40295, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,99, United-States, <=50K
+19054,56, Private,266091, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2907,0,52, Cuba, <=50K
+19055,57, Private,143030, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, ?, <=50K
+19056,42, State-gov,192397, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+19057,43, Private,114351, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+19058,48, ?,63466, HS-grad,9, Married-spouse-absent, ?, Unmarried, White, Female,0,0,32, United-States, <=50K
+19059,53, Private,132304, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Scotland, <=50K
+19060,58, Private,128162, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K
+19061,19, Private,125938, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+19062,37, Private,170174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K
+19063,41, Self-emp-not-inc,203451, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K
+19064,31, Private,109917, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19065,31, Private,114937, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+19066,53, Local-gov,231196, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+19067,19, Private,238474, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+19068,56, Private,314149, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19069,55, Federal-gov,31728, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+19070,51, Private,360131, 5th-6th,3, Married-civ-spouse, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K
+19071,62, Private,141308, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19072,43, Private,83411, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+19073,45, ?,119835, 7th-8th,4, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K
+19074,28, Local-gov,296537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+19075,46, Private,193047, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+19076,62, State-gov,39630, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+19077,57, Local-gov,213975, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+19078,60, Local-gov,259803, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+19079,23, Federal-gov,55465, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19080,47, Private,181307, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K
+19081,21, Private,211301, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K
+19082,51, Private,200450, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K
+19083,61, Local-gov,176731, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+19084,52, Self-emp-not-inc,140985, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999,0,30, United-States, >50K
+19085,76, Private,125784, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19086,24, Private,152176, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,39, United-States, <=50K
+19087,31, Self-emp-not-inc,111423, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+19088,43, Private,130126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+19089,58, Federal-gov,30111, Some-college,10, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+19090,18, ?,214989, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,24, United-States, <=50K
+19091,19, Private,272800, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+19092,44, Private,195881, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Female,0,0,45, United-States, <=50K
+19093,41, Local-gov,170924, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,7, United-States, <=50K
+19094,21, Private,131473, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, Vietnam, <=50K
+19095,40, Private,149466, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+19096,25, Private,190418, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Canada, <=50K
+19097,62, Local-gov,167889, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, Iran, <=50K
+19098,42, Private,177989, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19099,35, Private,186035, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19100,19, Private,195805, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+19101,60, Private,54800, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+19102,20, Private,100605, HS-grad,9, Never-married, Sales, Own-child, Other, Male,0,0,40, Puerto-Rico, <=50K
+19103,23, Private,253190, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K
+19104,18, Private,203301, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19105,40, Private,175696, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+19106,19, Private,278304, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+19107,51, Private,93193, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19108,41, Local-gov,158688, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+19109,18, Private,327612, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+19110,41, Private,210844, Some-college,10, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19111,27, Private,147340, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+19112,71, Self-emp-not-inc,130436, 1st-4th,2, Divorced, Craft-repair, Not-in-family, White, Female,0,0,28, United-States, <=50K
+19113,25, Private,206600, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K
+19114,73, Private,284680, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+19115,45, Private,127738, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+19116,25, Private,213412, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+19117,50, Private,287927, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, <=50K
+19118,44, Private,249332, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Ecuador, <=50K
+19119,44, Local-gov,290403, Assoc-voc,11, Divorced, Protective-serv, Own-child, White, Female,0,0,40, Cuba, <=50K
+19120,49, Private,54772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K
+19121,44, Self-emp-inc,56651, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K
+19122,42, Federal-gov,178470, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19123,20, Private,62865, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, United-States, <=50K
+19124,66, Private,107196, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,18, United-States, <=50K
+19125,19, Private,86860, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,15, United-States, <=50K
+19126,60, Private,130684, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+19127,46, Private,164682, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19128,42, Private,198316, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+19129,59, Private,261816, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,52, Outlying-US(Guam-USVI-etc), <=50K
+19130,58, Private,280309, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,60, United-States, >50K
+19131,47, Private,97176, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+19132,58, Private,95835, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,36, United-States, <=50K
+19133,69, ?,323016, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,99999,0,40, United-States, >50K
+19134,17, ?,280670, 10th,6, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+19135,19, Private,136306, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K
+19136,28, Private,65171, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,70, United-States, <=50K
+19137,37, Private,25864, HS-grad,9, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+19138,30, Private,149531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19139,36, Private,33887, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19140,45, Private,172822, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,2824,76, United-States, >50K
+19141,59, Private,106748, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K
+19142,45, Private,131826, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+19143,53, Local-gov,216691, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,10520,0,40, United-States, >50K
+19144,37, Private,133328, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+19145,26, Private,164737, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19146,53, Local-gov,99064, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19147,44, State-gov,59460, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K
+19148,27, Private,208725, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+19149,22, Private,138513, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+19150,41, Private,121055, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19151,53, Private,149784, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19152,58, Private,114495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19153,34, ?,133278, 12th,8, Separated, ?, Unmarried, Black, Female,0,0,53, United-States, <=50K
+19154,32, Private,212276, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+19155,32, Private,440129, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, Mexico, <=50K
+19156,47, Private,98012, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K
+19157,27, Private,145284, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+19158,25, Private,177147, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19159,40, Private,141537, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+19160,36, Self-emp-not-inc,48093, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,92, United-States, <=50K
+19161,23, Local-gov,314819, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+19162,44, Private,123572, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+19163,19, Private,170800, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K
+19164,42, Private,332401, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19165,60, Self-emp-not-inc,193038, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K
+19166,41, Private,351161, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1848,45, United-States, >50K
+19167,45, Federal-gov,106910, HS-grad,9, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+19168,67, ?,163726, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,49, United-States, <=50K
+19169,36, Self-emp-not-inc,609935, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, ?, <=50K
+19170,52, State-gov,314627, Masters,14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+19171,28, Private,115945, Doctorate,16, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K
+19172,83, Self-emp-inc,272248, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+19173,17, Private,167878, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+19174,27, Private,176972, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19175,35, Self-emp-not-inc,31095, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+19176,40, Private,130834, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19177,23, Private,207415, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K
+19178,51, Local-gov,264457, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+19179,51, Private,340588, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,54, Mexico, <=50K
+19180,82, ?,42435, 10th,6, Widowed, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K
+19181,28, Private,107411, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+19182,53, Private,290640, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Germany, >50K
+19183,29, Private,106179, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Canada, <=50K
+19184,19, Private,247679, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+19185,30, Private,171598, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+19186,23, Private,234460, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K
+19187,66, Private,196674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K
+19188,27, Private,182540, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19189,35, Private,172694, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+19190,17, Private,29571, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+19191,27, Private,130438, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19192,27, Private,213421, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19193,44, Local-gov,189956, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, Black, Female,15024,0,40, United-States, >50K
+19194,64, Private,133144, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K
+19195,62, Self-emp-inc,24050, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+19196,26, Private,276967, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19197,40, Private,184857, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+19198,40, Private,145160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19199,35, Private,192251, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19200,25, Private,190650, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+19201,52, Local-gov,255927, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K
+19202,46, Private,99086, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+19203,30, Private,216811, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+19204,52, Private,110563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+19205,28, Private,120471, HS-grad,9, Never-married, Transport-moving, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+19206,17, Private,183066, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+19207,46, State-gov,298786, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+19208,45, Private,297884, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+19209,21, Private,253612, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,1055,0,32, United-States, <=50K
+19210,18, Self-emp-not-inc,207438, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+19211,17, Private,148522, 11th,7, Never-married, Other-service, Own-child, White, Male,0,1721,15, United-States, <=50K
+19212,90, Private,139660, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,37, United-States, <=50K
+19213,23, Private,165474, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19214,41, Private,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19215,19, Self-emp-not-inc,67929, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+19216,69, Private,229418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+19217,23, Federal-gov,41356, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Female,0,0,32, United-States, <=50K
+19218,28, Private,185127, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,54, United-States, <=50K
+19219,37, Private,109133, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K
+19220,57, Private,148315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+19221,30, Local-gov,145692, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,1974,40, United-States, <=50K
+19222,48, Private,210424, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,914,0,40, United-States, <=50K
+19223,73, Private,198526, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,32, United-States, <=50K
+19224,25, Private,521400, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K
+19225,33, Private,100882, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+19226,36, Private,124818, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19227,28, Private,190836, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K
+19228,57, Private,71367, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+19229,31, Private,303032, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19230,35, ?,98989, 9th,5, Divorced, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,38, United-States, <=50K
+19231,40, State-gov,390781, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K
+19232,32, Private,54782, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+19233,35, ?,202683, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19234,26, Private,213081, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K
+19235,27, Self-emp-inc,89718, Some-college,10, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+19236,17, Private,225106, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,18, United-States, <=50K
+19237,29, Private,253262, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19238,18, Private,78181, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+19239,20, Private,158206, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+19240,69, ?,337720, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+19241,18, State-gov,391257, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19242,56, Private,134756, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+19243,40, Private,183404, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K
+19244,46, Private,192793, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19245,41, Private,203943, 12th,8, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, <=50K
+19246,53, Private,89400, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+19247,50, Private,237868, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+19248,23, Private,139187, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+19249,40, Private,126701, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+19250,54, Self-emp-inc,172175, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+19251,45, Private,164210, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19252,53, Local-gov,608184, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+19253,17, ?,198797, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, Peru, <=50K
+19254,50, Local-gov,425804, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+19255,22, ?,117618, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K
+19256,30, Private,119164, Bachelors,13, Never-married, Other-service, Unmarried, White, Male,0,0,40, ?, <=50K
+19257,40, Self-emp-inc,92036, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19258,36, State-gov,77146, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19259,25, Self-emp-not-inc,191803, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19260,29, Private,54932, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19261,29, Private,251694, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+19262,22, Private,268145, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19263,56, Private,104842, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,50, Haiti, <=50K
+19264,60, Local-gov,227332, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+19265,37, Private,212512, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,50, United-States, <=50K
+19266,53, Private,133436, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19267,23, State-gov,309055, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+19268,18, Private,59202, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,10, United-States, <=50K
+19269,36, Private,32709, Some-college,10, Divorced, Sales, Not-in-family, White, Female,3325,0,45, United-States, <=50K
+19270,67, Self-emp-inc,73559, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,50, United-States, >50K
+19271,31, Private,117963, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K
+19272,26, Private,169121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+19273,18, Private,308889, 11th,7, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+19274,45, Local-gov,144940, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19275,64, Private,102041, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19276,26, Private,335998, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+19277,53, Private,29557, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19278,27, Private,210313, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,28, Guatemala, <=50K
+19279,32, Private,190784, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+19280,49, Self-emp-not-inc,107597, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,14084,0,30, United-States, >50K
+19281,59, Private,97168, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19282,44, Private,155930, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K
+19283,61, Self-emp-not-inc,181033, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+19284,41, ?,344572, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+19285,46, State-gov,170165, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+19286,32, Private,178835, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19287,29, Private,118230, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+19288,48, Private,149640, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19289,32, Private,30271, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K
+19290,21, Private,154165, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,35, United-States, <=50K
+19291,50, Self-emp-not-inc,341797, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19292,44, Local-gov,145246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+19293,51, Private,280093, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+19294,42, Private,373469, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19295,27, Private,199172, Bachelors,13, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K
+19296,70, Self-emp-not-inc,177199, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,3, United-States, <=50K
+19297,33, Private,258932, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19298,65, Self-emp-not-inc,139960, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605,0,60, United-States, >50K
+19299,39, Private,258037, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K
+19300,32, Private,116677, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19301,30, Private,59496, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+19302,43, Self-emp-inc,34218, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19303,31, Private,200246, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+19304,64, Federal-gov,316246, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+19305,37, Local-gov,239161, Some-college,10, Separated, Protective-serv, Own-child, Other, Male,0,0,52, United-States, <=50K
+19306,49, Self-emp-not-inc,173411, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19307,29, Private,259226, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K
+19308,35, Local-gov,195516, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19309,37, Private,200598, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,45, United-States, <=50K
+19310,42, State-gov,160369, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19311,21, ?,415913, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+19312,23, Private,147253, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19313,35, Local-gov,199674, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19314,29, State-gov,198493, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+19315,23, Private,377121, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+19316,21, Private,400635, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, ?, <=50K
+19317,45, Private,513660, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19318,24, ?,175069, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19319,38, Private,82552, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,594,0,50, United-States, <=50K
+19320,28, ?,78388, 10th,6, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K
+19321,23, Private,171705, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+19322,39, Self-emp-not-inc,315640, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,60, Iran, <=50K
+19323,45, Private,266860, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+19324,68, Private,192829, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K
+19325,60, Federal-gov,237317, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,4934,0,40, United-States, >50K
+19326,38, State-gov,110426, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, ?, >50K
+19327,41, Private,327606, 12th,8, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19328,48, Private,34845, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+19329,33, Private,58582, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19330,48, Private,155659, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19331,23, Local-gov,210029, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+19332,26, Private,381618, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+19333,55, Self-emp-inc,298449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K
+19334,35, State-gov,226789, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, <=50K
+19335,52, Private,210736, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K
+19336,46, State-gov,111163, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+19337,72, ?,76860, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,1, United-States, <=50K
+19338,18, Private,92112, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+19339,62, Local-gov,136787, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+19340,22, Private,29810, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,30, United-States, <=50K
+19341,40, Private,360884, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,40, United-States, >50K
+19342,26, Private,266022, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+19343,35, Private,142874, Assoc-acdm,12, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,36, United-States, <=50K
+19344,25, Self-emp-not-inc,72338, HS-grad,9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+19345,46, ?,177305, Assoc-voc,11, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, >50K
+19346,39, Private,165106, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,1564,50, ?, >50K
+19347,41, Private,424478, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, >50K
+19348,59, Private,189721, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, >50K
+19349,37, Private,34180, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19350,38, Private,183279, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+19351,33, Private,35309, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+19352,23, Private,259109, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Puerto-Rico, <=50K
+19353,67, Self-emp-not-inc,148690, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Male,18481,0,2, United-States, >50K
+19354,60, Private,125019, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,48, United-States, >50K
+19355,39, Self-emp-inc,172538, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19356,32, Self-emp-not-inc,410615, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,60, United-States, >50K
+19357,26, Private,322547, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+19358,39, Private,300760, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K
+19359,28, Private,232782, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19360,29, Private,174645, 11th,7, Divorced, Craft-repair, Unmarried, White, Female,0,0,52, United-States, <=50K
+19361,43, Private,164693, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19362,23, Private,206861, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,25, United-States, <=50K
+19363,32, Private,195602, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K
+19364,33, Self-emp-not-inc,422960, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K
+19365,45, Private,116360, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+19366,48, Private,278530, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+19367,43, Local-gov,188291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+19368,50, Self-emp-not-inc,163948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+19369,63, Private,64544, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K
+19370,55, Private,101468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+19371,22, Private,107882, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K
+19372,32, Self-emp-not-inc,182691, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,60, United-States, <=50K
+19373,27, Private,203776, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+19374,22, Private,201268, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+19375,44, Private,29762, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,68, United-States, <=50K
+19376,34, Private,186346, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19377,28, Private,196690, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19378,40, Private,99604, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,24, United-States, >50K
+19379,45, Private,194772, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+19380,17, Private,95446, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+19381,53, Self-emp-not-inc,257126, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+19382,58, Private,194733, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19383,55, Self-emp-not-inc,98361, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+19384,44, Local-gov,124924, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+19385,40, Self-emp-not-inc,111971, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+19386,58, Self-emp-not-inc,130714, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+19387,38, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19388,62, Private,147627, 9th,5, Never-married, Priv-house-serv, Not-in-family, Black, Female,1055,0,22, United-States, <=50K
+19389,31, Private,149507, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,38, United-States, <=50K
+19390,31, Private,164870, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+19391,30, Private,236861, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,45, United-States, <=50K
+19392,37, Private,220314, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K
+19393,38, Local-gov,329980, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1876,40, Canada, <=50K
+19394,58, Local-gov,318537, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+19395,30, Private,183284, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+19396,28, Private,334368, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K
+19397,46, Private,109227, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K
+19398,34, Private,118551, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19399,39, Self-emp-inc,163057, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,99, United-States, <=50K
+19400,61, Self-emp-inc,253101, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+19401,30, Self-emp-not-inc,20098, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19402,31, Private,196227, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19403,21, Private,175374, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+19404,50, Private,234037, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,58, United-States, <=50K
+19405,47, Private,341762, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,33, United-States, <=50K
+19406,20, Private,174714, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+19407,23, Private,222835, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+19408,46, Private,251786, 1st-4th,2, Separated, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+19409,20, Private,164219, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+19410,33, Private,251120, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+19411,30, Private,236993, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+19412,43, Local-gov,105896, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+19413,23, Private,211527, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K
+19414,34, Private,317809, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K
+19415,25, Private,185287, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19416,50, Private,31014, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+19417,44, Private,151985, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,24, United-States, >50K
+19418,26, Private,89389, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19419,35, Private,406051, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, >50K
+19420,48, Self-emp-not-inc,171986, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K
+19421,26, Private,167848, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19422,41, Local-gov,213019, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+19423,25, Private,211424, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+19424,33, Private,168981, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K
+19425,24, Private,122348, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+19426,31, Private,139753, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19427,24, Local-gov,176178, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K
+19428,41, Private,145220, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Columbia, <=50K
+19429,38, Local-gov,188612, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+19430,19, Private,445728, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19431,19, Private,318002, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+19432,24, Private,235722, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19433,59, ?,367984, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+19434,67, Private,212705, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+19435,49, Private,411273, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19436,35, Private,103986, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+19437,44, Private,203761, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+19438,58, ?,266792, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,99999,0,40, United-States, >50K
+19439,22, Private,116800, Assoc-acdm,12, Never-married, Protective-serv, Own-child, White, Male,0,0,60, United-States, <=50K
+19440,21, State-gov,99199, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,10, United-States, <=50K
+19441,50, Private,162327, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+19442,44, Local-gov,100479, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+19443,36, Local-gov,32587, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+19444,30, Federal-gov,321990, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,48, Cuba, >50K
+19445,52, Private,108914, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+19446,35, Self-emp-not-inc,61343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K
+19447,48, Local-gov,81154, Assoc-voc,11, Never-married, Protective-serv, Unmarried, White, Male,0,0,48, United-States, <=50K
+19448,23, Private,162945, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2377,40, United-States, <=50K
+19449,37, Private,225504, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19450,44, Self-emp-inc,191712, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K
+19451,44, Private,176063, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+19452,36, Private,198587, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19453,26, State-gov,34965, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K
+19454,31, Self-emp-inc,467108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+19455,23, ?,263899, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,12, England, <=50K
+19456,29, Private,204984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19457,53, Private,217568, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19458,52, Private,48343, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19459,55, Private,193130, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K
+19460,31, Private,253354, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19461,19, ?,258026, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K
+19462,64, ?,211360, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+19463,55, Private,191367, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19464,48, Private,148995, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+19465,20, Private,123901, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+19466,50, Local-gov,117496, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,30, United-States, >50K
+19467,45, Self-emp-inc,32356, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,51, United-States, <=50K
+19468,17, Private,206506, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,10, El-Salvador, <=50K
+19469,38, Private,218729, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+19470,43, Private,52498, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+19471,22, Private,136767, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+19472,63, Private,219540, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19473,36, Private,114059, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+19474,56, Private,247337, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19475,43, State-gov,310969, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+19476,41, Private,171546, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+19477,41, Private,217455, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+19478,36, Private,410489, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+19479,59, Private,146391, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19480,46, Local-gov,165484, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+19481,23, Private,184271, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+19482,46, Self-emp-not-inc,231347, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+19483,53, Private,95469, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K
+19484,47, Private,244025, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,56, Puerto-Rico, <=50K
+19485,46, Federal-gov,46537, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19486,47, Private,205730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K
+19487,29, Private,383745, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,30, United-States, >50K
+19488,32, Private,328199, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+19489,90, Private,84553, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19490,63, Private,221072, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, ?, <=50K
+19491,23, Private,123983, Assoc-voc,11, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+19492,76, ?,191024, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+19493,23, Private,167868, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19494,44, Private,225879, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,0,30, Mexico, >50K
+19495,81, Self-emp-inc,247232, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,2936,0,28, United-States, <=50K
+19496,17, Private,143791, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K
+19497,56, Private,177271, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+19498,58, Federal-gov,129786, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19499,45, Private,31339, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+19500,25, Private,236267, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+19501,36, Private,130620, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, >50K
+19502,32, Private,208180, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K
+19503,25, Private,292058, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K
+19504,29, Federal-gov,142712, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+19505,23, Private,119665, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K
+19506,41, Private,116825, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+19507,48, State-gov,201177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+19508,29, Private,118337, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+19509,27, ?,173800, Masters,14, Never-married, ?, Unmarried, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K
+19510,55, Private,289257, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19511,30, Private,190912, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,1651,40, Vietnam, <=50K
+19512,45, Private,140581, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19513,50, Private,174102, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K
+19514,22, Private,316509, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19515,80, Local-gov,20101, HS-grad,9, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K
+19516,30, Private,187279, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K
+19517,20, Private,259496, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+19518,29, Self-emp-not-inc,181466, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+19519,56, Private,178202, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19520,63, Private,188976, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+19521,20, Private,203027, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+19522,38, State-gov,142022, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+19523,31, Private,119033, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19524,21, Private,216181, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+19525,47, Private,178341, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, >50K
+19526,25, Local-gov,244408, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+19527,31, Private,198953, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+19528,28, Private,173110, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19529,38, Private,66326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K
+19530,30, Local-gov,181091, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+19531,39, Self-emp-inc,135500, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K
+19532,27, Private,133929, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, ?, <=50K
+19533,26, Private,86483, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19534,47, Private,167787, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+19535,27, Self-emp-not-inc,208577, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,2258,50, United-States, <=50K
+19536,43, Private,216697, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,32, United-States, <=50K
+19537,32, Local-gov,118457, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K
+19538,20, Private,298635, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K
+19539,21, Local-gov,212780, 12th,8, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,20, United-States, <=50K
+19540,32, Private,159187, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19541,37, Private,237995, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K
+19542,45, Private,160724, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+19543,37, Self-emp-inc,183800, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+19544,54, ?,185936, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+19545,24, Private,161198, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K
+19546,28, ?,113635, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+19547,23, Private,214542, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+19548,54, ?,172991, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+19549,40, Private,203761, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+19550,38, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+19551,71, Private,180117, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19552,51, Private,317396, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+19553,52, Self-emp-not-inc,237868, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,5, United-States, <=50K
+19554,30, Private,323069, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19555,34, Private,181091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+19556,38, Private,309122, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19557,43, Federal-gov,105936, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,13550,0,40, United-States, >50K
+19558,43, Private,40024, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,42, United-States, <=50K
+19559,36, Federal-gov,192443, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,13550,0,40, United-States, >50K
+19560,24, State-gov,184216, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19561,29, ?,256211, 1st-4th,2, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+19562,55, Private,205422, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K
+19563,51, Private,22211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K
+19564,43, Local-gov,196308, HS-grad,9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+19565,28, Private,389713, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19566,54, Private,82566, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+19567,47, Private,199058, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19568,47, Private,160440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+19569,47, Private,76034, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,57, United-States, >50K
+19570,38, Private,188503, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,6497,0,35, United-States, <=50K
+19571,60, Self-emp-not-inc,92845, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+19572,19, Private,29083, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K
+19573,22, Private,234474, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K
+19574,55, Local-gov,107308, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19575,44, Private,111891, Some-college,10, Separated, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K
+19576,53, Self-emp-not-inc,145419, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,67, Italy, >50K
+19577,44, Local-gov,193425, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386,0,40, United-States, >50K
+19578,28, Federal-gov,188278, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19579,30, Local-gov,303485, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19580,39, Local-gov,67187, HS-grad,9, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+19581,43, State-gov,114508, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+19582,24, Private,204172, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+19583,27, Local-gov,162973, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K
+19584,64, Self-emp-not-inc,192695, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Canada, <=50K
+19585,41, Local-gov,89172, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+19586,28, Private,163320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+19587,61, Private,128230, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+19588,27, Private,246440, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+19589,49, Private,50567, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+19590,20, Private,117476, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19591,41, Private,315834, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K
+19592,28, Local-gov,214881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19593,36, Private,195516, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19594,44, Self-emp-not-inc,218653, Bachelors,13, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+19595,51, Private,87205, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,20, United-States, >50K
+19596,40, Private,164647, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,38, United-States, <=50K
+19597,19, Private,129151, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19598,54, Private,319697, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+19599,55, Self-emp-not-inc,193374, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19600,57, Private,167864, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19601,29, Private,197932, Some-college,10, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,30, Guatemala, <=50K
+19602,51, Private,102904, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K
+19603,44, Private,216907, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K
+19604,35, Local-gov,331395, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K
+19605,40, Private,171424, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19606,46, Private,35406, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+19607,25, Private,238964, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+19608,33, Private,213002, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,36, United-States, <=50K
+19609,32, Private,27882, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Female,0,2205,40, Holand-Netherlands, <=50K
+19610,22, Private,340543, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19611,39, Private,70240, Some-college,10, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+19612,18, Self-emp-not-inc,87169, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+19613,43, Private,253759, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,45, United-States, <=50K
+19614,46, Private,194431, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K
+19615,63, Private,137843, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K
+19616,40, ?,170649, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+19617,59, Private,182460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+19618,40, Local-gov,26929, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19619,23, Private,399022, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+19620,64, ?,50171, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+19621,36, Private,218490, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+19622,48, Private,164423, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+19623,43, Private,124436, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+19624,18, Private,60981, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+19625,17, Private,70868, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K
+19626,36, Private,150601, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, <=50K
+19627,53, Private,228500, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+19628,36, State-gov,76767, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,39, United-States, <=50K
+19629,20, Private,218178, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19630,22, Private,615367, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+19631,34, Private,150324, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19632,39, Private,51264, 11th,7, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+19633,57, Private,197642, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19634,30, Private,229895, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+19635,37, Private,167415, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+19636,51, Private,166934, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+19637,38, Private,305597, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+19638,34, Private,301591, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K
+19639,47, Federal-gov,229646, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0,0,40, Puerto-Rico, <=50K
+19640,28, Self-emp-not-inc,51461, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+19641,25, Private,206600, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,24, Nicaragua, <=50K
+19642,25, Private,176836, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+19643,50, Private,204447, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K
+19644,50, Private,33304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19645,43, Private,174051, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+19646,27, Private,38918, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1876,75, United-States, <=50K
+19647,32, Private,170017, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19648,44, Private,98466, 10th,6, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K
+19649,19, Private,188864, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K
+19650,53, Self-emp-inc,137815, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+19651,21, Private,43475, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19652,26, Private,557236, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19653,68, Private,32779, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,419,12, United-States, <=50K
+19654,31, Private,161765, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2051,57, United-States, <=50K
+19655,32, Private,207668, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,2444,50, United-States, >50K
+19656,33, Private,171215, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+19657,49, ?,52590, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19658,24, Private,183751, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+19659,30, Private,149507, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K
+19660,49, Private,98092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19661,18, Private,123714, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19662,30, State-gov,190385, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K
+19663,51, Private,334273, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19664,52, Private,343440, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+19665,52, Private,208302, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K
+19666,23, Local-gov,280164, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,32, United-States, <=50K
+19667,23, Self-emp-not-inc,174714, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+19668,36, Private,184655, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+19669,19, Private,140459, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,25, United-States, <=50K
+19670,53, Self-emp-not-inc,108815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+19671,17, Private,152652, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+19672,69, Private,269499, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,8, United-States, <=50K
+19673,46, Local-gov,33373, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+19674,33, Private,243674, HS-grad,9, Separated, Tech-support, Not-in-family, White, Male,0,0,46, United-States, <=50K
+19675,40, Private,225432, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+19676,56, Private,215839, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, ?, <=50K
+19677,29, Local-gov,195520, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+19678,41, Private,70092, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+19679,22, Private,189888, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+19680,28, Private,64307, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19681,31, Private,94235, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K
+19682,35, Private,62333, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19683,38, Private,260997, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+19684,17, Private,146268, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+19685,39, Private,147258, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19686,27, Self-emp-not-inc,207948, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19687,50, Private,180607, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19688,56, Local-gov,104996, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+19689,80, Self-emp-not-inc,562336, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+19690,38, Self-emp-not-inc,334366, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,15, United-States, <=50K
+19691,52, State-gov,142757, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+19692,26, Local-gov,220656, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,38, England, <=50K
+19693,43, Private,96483, HS-grad,9, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+19694,45, Private,51744, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K
+19695,41, Self-emp-inc,114967, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+19696,30, Private,393965, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+19697,24, Private,41838, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K
+19698,43, Local-gov,143046, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+19699,44, Private,209174, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+19700,54, Private,183248, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19701,23, Private,102942, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,2258,40, United-States, >50K
+19702,33, Self-emp-not-inc,427474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+19703,18, Private,338632, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+19704,38, Private,89559, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, <=50K
+19705,41, Self-emp-not-inc,32533, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+19706,22, ?,255969, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K
+19707,66, Self-emp-inc,112376, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19708,70, ?,346053, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+19709,58, Self-emp-not-inc,147653, 10th,6, Married-civ-spouse, Craft-repair, Wife, White, Female,0,1977,35, ?, >50K
+19710,60, Self-emp-not-inc,44915, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,10, United-States, <=50K
+19711,24, Local-gov,111450, 10th,6, Never-married, Craft-repair, Unmarried, Black, Male,0,0,65, Haiti, <=50K
+19712,61, Private,171429, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+19713,35, Local-gov,190964, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19714,19, Private,109005, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+19715,52, Private,404453, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19716,38, Self-emp-not-inc,280169, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K
+19717,39, Self-emp-not-inc,163204, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19718,33, Self-emp-not-inc,192256, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19719,52, Private,181755, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+19720,41, Private,183105, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,44, Cuba, <=50K
+19721,37, Private,335168, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+19722,38, Local-gov,86643, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+19723,27, Private,180262, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19724,38, Private,127865, Masters,14, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+19725,38, Self-emp-not-inc,146042, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,3103,0,60, United-States, >50K
+19726,49, Self-emp-not-inc,102110, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, >50K
+19727,38, Private,152237, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, ?, >50K
+19728,22, Private,202745, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, United-States, <=50K
+19729,40, Federal-gov,199303, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19730,20, Private,266467, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19731,34, Federal-gov,345259, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, United-States, <=50K
+19732,24, Private,204935, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,56, United-States, <=50K
+19733,58, Federal-gov,244830, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,4787,0,40, United-States, >50K
+19734,24, Private,190457, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19735,43, Private,180138, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+19736,38, Private,166585, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+19737,42, Private,29962, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19738,27, Private,191129, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19739,18, Private,378707, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+19740,37, Private,116358, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,27828,0,48, United-States, >50K
+19741,48, Private,240629, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+19742,40, Private,233320, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+19743,50, Self-emp-inc,302708, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,50, Japan, >50K
+19744,57, Private,29375, HS-grad,9, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K
+19745,36, Local-gov,137314, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+19746,41, Private,140886, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+19747,90, Private,226968, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19748,66, Private,151793, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K
+19749,34, Self-emp-not-inc,56460, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,2179,12, United-States, <=50K
+19750,23, Private,72887, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,1, Vietnam, <=50K
+19751,35, Private,261646, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, <=50K
+19752,32, Private,178615, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K
+19753,33, Private,295589, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K
+19754,32, Self-emp-inc,377836, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19755,31, Private,56510, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+19756,32, Self-emp-not-inc,337696, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+19757,40, Private,183765, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+19758,27, Self-emp-not-inc,107846, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,30, United-States, <=50K
+19759,34, Local-gov,22641, HS-grad,9, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+19760,35, Private,204590, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K
+19761,29, Private,114801, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19762,41, Private,190591, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+19763,33, State-gov,220066, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K
+19764,22, ?,228480, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+19765,52, Private,128378, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19766,20, Private,157595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19767,18, Local-gov,152171, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,10, United-States, <=50K
+19768,63, Private,339755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K
+19769,49, Private,240841, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+19770,58, Private,94345, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19771,23, Self-emp-not-inc,289116, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+19772,59, Private,176647, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19773,49, Self-emp-not-inc,79627, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+19774,23, Local-gov,210781, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+19775,17, ?,161981, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+19776,20, Private,493443, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19777,36, Private,86459, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+19778,64, Private,312242, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,3, United-States, <=50K
+19779,34, Private,185408, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19780,63, Private,101077, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K
+19781,51, Private,147200, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+19782,40, State-gov,166327, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+19783,55, Private,178644, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+19784,35, Private,126675, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, ?, <=50K
+19785,30, Private,158420, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,25, United-States, <=50K
+19786,47, ?,83046, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K
+19787,29, Private,46609, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K
+19788,17, ?,170320, 11th,7, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K
+19789,32, Self-emp-not-inc,37232, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+19790,55, Private,141877, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19791,47, Local-gov,81654, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,56, United-States, >50K
+19792,50, Private,177705, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19793,42, Private,124792, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,45, United-States, >50K
+19794,32, Self-emp-not-inc,129497, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+19795,60, Private,114413, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+19796,53, Private,189511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19797,58, Private,111625, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,8614,0,40, United-States, >50K
+19798,45, Private,246431, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+19799,31, Private,147654, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+19800,32, Self-emp-not-inc,443546, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19801,37, Private,281751, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+19802,28, Private,263128, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+19803,26, Private,292692, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+19804,47, Self-emp-inc,96798, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K
+19805,34, Private,430554, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+19806,42, Private,317078, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19807,48, Private,108557, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,99999,0,40, United-States, >50K
+19808,32, Private,207400, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19809,35, Private,187089, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, United-States, >50K
+19810,46, Local-gov,398986, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,52, United-States, >50K
+19811,38, Private,238980, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+19812,49, ?,407495, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,70, United-States, <=50K
+19813,35, Private,183800, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+19814,61, ?,226989, HS-grad,9, Divorced, ?, Not-in-family, White, Male,4865,0,40, United-States, <=50K
+19815,45, Private,287190, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K
+19816,31, Private,111363, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19817,52, Self-emp-inc,260938, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+19818,20, Private,183594, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+19819,64, ?,49194, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+19820,20, ?,117618, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+19821,24, Private,172496, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19822,29, Private,389713, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+19823,23, Private,174413, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19824,34, State-gov,189843, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+19825,54, Private,198546, Masters,14, Widowed, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+19826,21, Private,82497, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+19827,23, Private,193090, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+19828,79, Private,172220, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,2964,0,30, United-States, <=50K
+19829,55, Private,208451, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+19830,42, ?,234277, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K
+19831,60, Private,163729, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,2597,0,40, United-States, <=50K
+19832,37, Private,434097, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19833,47, Private,192053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1590,40, United-States, <=50K
+19834,20, State-gov,178628, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+19835,53, Private,96827, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Canada, <=50K
+19836,34, Private,154667, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+19837,43, Private,160246, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19838,24, Self-emp-not-inc,166036, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+19839,23, Private,186813, HS-grad,9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+19840,29, Private,162312, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, United-States, <=50K
+19841,58, Private,183893, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19842,55, ?,270228, Assoc-acdm,12, Married-civ-spouse, ?, Husband, Black, Male,7688,0,40, United-States, >50K
+19843,40, Private,111829, Masters,14, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19844,43, Federal-gov,175669, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+19845,25, State-gov,104097, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19846,23, Local-gov,117618, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,24, United-States, <=50K
+19847,34, Self-emp-inc,202450, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+19848,26, Private,109570, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+19849,60, Private,101096, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K
+19850,39, Private,236391, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+19851,21, Private,136975, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+19852,45, Private,167523, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2179,45, United-States, <=50K
+19853,33, Private,240979, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19854,26, Private,248612, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K
+19855,39, Private,151023, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,114,0,45, United-States, <=50K
+19856,29, Private,236436, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K
+19857,29, ?,153167, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+19858,52, Private,61735, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+19859,34, Private,243165, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, >50K
+19860,24, Private,388885, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K
+19861,77, Self-emp-inc,84979, Doctorate,16, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051,0,40, United-States, >50K
+19862,34, Self-emp-not-inc,87209, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+19863,53, Self-emp-not-inc,168539, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+19864,31, Private,179013, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+19865,58, Private,196643, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+19866,50, Self-emp-not-inc,68898, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K
+19867,32, Private,156464, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19868,57, Private,35884, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19869,32, Private,182714, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+19870,77, Private,344425, 9th,5, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,10, United-States, <=50K
+19871,37, Self-emp-not-inc,177277, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19872,51, Private,70767, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+19873,33, Self-emp-not-inc,520078, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Male,0,0,60, United-States, <=50K
+19874,53, Local-gov,321770, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0,0,35, United-States, <=50K
+19875,32, Private,158416, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19876,30, Private,312667, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19877,19, Private,208656, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,594,0,20, United-States, <=50K
+19878,33, Private,31481, Bachelors,13, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K
+19879,31, Private,259531, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19880,28, Private,186239, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+19881,19, Private,162954, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+19882,27, Private,249315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+19883,21, Private,308237, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+19884,24, Private,103064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19885,46, Private,185847, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,54, United-States, <=50K
+19886,31, Private,168521, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19887,60, Private,198170, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+19888,21, Private,353628, 10th,6, Separated, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K
+19889,38, ?,273285, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K
+19890,31, Private,272069, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19891,26, Private,22328, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+19892,46, Private,309212, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K
+19893,25, Self-emp-inc,148888, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+19894,23, Local-gov,324637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+19895,53, Self-emp-inc,55139, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+19896,42, ?,212206, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,1887,48, United-States, >50K
+19897,29, Private,119004, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2179,40, United-States, <=50K
+19898,45, Private,252079, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+19899,70, Private,315868, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19900,55, Self-emp-inc,392325, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K
+19901,40, State-gov,174283, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K
+19902,17, Private,126832, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+19903,18, Private,126071, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+19904,34, Private,265706, Masters,14, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K
+19905,41, Private,282964, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19906,28, Private,328518, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19907,23, State-gov,283499, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+19908,32, Private,286675, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K
+19909,56, Private,136472, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K
+19910,36, Private,132879, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K
+19911,26, Private,314798, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+19912,62, Private,143943, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,7, United-States, <=50K
+19913,35, Private,134367, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+19914,25, Local-gov,366796, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19915,28, Private,195573, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+19916,21, Private,33616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+19917,31, Private,164190, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+19918,23, Private,380281, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,25, Columbia, <=50K
+19919,58, Self-emp-inc,190763, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19920,55, Local-gov,209535, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+19921,54, Private,156003, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19922,33, Private,55699, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,40, United-States, <=50K
+19923,28, Private,183151, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K
+19924,40, Private,198790, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K
+19925,33, Self-emp-not-inc,272359, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,80, United-States, >50K
+19926,27, Private,236481, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,10, India, <=50K
+19927,55, Private,143266, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,25, United-States, <=50K
+19928,53, Private,192386, HS-grad,9, Separated, Transport-moving, Unmarried, White, Male,0,0,45, United-States, <=50K
+19929,23, Private,99543, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K
+19930,66, Private,169435, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,16, United-States, <=50K
+19931,34, Self-emp-not-inc,34572, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+19932,39, Private,119272, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19933,21, Private,211601, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+19934,26, Private,154785, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Other, Female,0,0,35, United-States, <=50K
+19935,21, Private,213041, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K
+19936,59, Private,229939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+19937,61, Private,175331, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+19938,30, Private,226443, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+19939,22, Private,46561, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19940,47, Private,161311, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,30, United-States, <=50K
+19941,50, Private,98215, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19942,67, Private,118363, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,2206,5, United-States, <=50K
+19943,59, Local-gov,181242, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19944,35, Private,356238, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, >50K
+19945,56, Self-emp-not-inc,39380, Some-college,10, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female,27828,0,20, United-States, >50K
+19946,28, Private,315287, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, ?, <=50K
+19947,34, Private,269723, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,2977,0,50, United-States, <=50K
+19948,63, Private,34098, 10th,6, Widowed, Farming-fishing, Unmarried, White, Female,0,0,56, United-States, <=50K
+19949,48, Private,50880, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K
+19950,41, Federal-gov,356934, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+19951,26, Private,276309, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,20, United-States, <=50K
+19952,47, Private,175925, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,2179,52, United-States, <=50K
+19953,29, Self-emp-not-inc,164607, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+19954,30, Private,224462, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+19955,19, Private,92863, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+19956,27, Private,179565, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K
+19957,59, Self-emp-not-inc,31137, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+19958,19, Private,199495, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+19959,45, Private,175262, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+19960,37, Private,220585, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19961,44, Local-gov,231793, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+19962,34, Federal-gov,191342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,38, United-States, <=50K
+19963,30, Private,186420, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K
+19964,30, Private,328242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K
+19965,56, Private,279340, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+19966,19, Private,174478, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+19967,37, Private,151771, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19968,45, Private,145636, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,43, United-States, >50K
+19969,21, Private,120326, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+19970,34, Self-emp-not-inc,246439, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+19971,27, Private,144133, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K
+19972,44, Local-gov,145522, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19973,33, Private,312055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19974,32, Private,235847, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K
+19975,37, Private,187748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19976,26, Private,396482, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+19977,49, Private,261688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K
+19978,20, Private,39477, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+19979,37, Private,143058, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19980,22, Private,216867, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, Mexico, <=50K
+19981,44, Private,230592, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K
+19982,30, Local-gov,40338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+19983,55, Local-gov,115457, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+19984,36, Private,374983, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+19985,29, Private,285419, 12th,8, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+19986,19, ?,385901, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,22, United-States, <=50K
+19987,45, State-gov,187581, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+19988,38, Self-emp-inc,299036, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+19989,42, Private,68729, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+19990,27, Private,333990, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+19991,20, Private,117767, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+19992,43, Private,184378, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+19993,21, Private,232591, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+19994,33, Private,143851, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+19995,36, Self-emp-not-inc,89622, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K
+19996,34, Private,202498, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Dominican-Republic, <=50K
+19997,72, Private,268861, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,99, ?, <=50K
+19998,54, Private,343242, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+19999,30, Private,460408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20000,63, Private,205246, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+20001,36, Private,230329, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+20002,25, Private,197871, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20003,72, ?,201375, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20004,55, Private,194290, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20005,44, Private,191814, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+20006,41, Private,95168, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20007,20, ?,137876, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+20008,47, Private,386136, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20009,71, ?,108390, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3432,0,20, United-States, <=50K
+20010,41, Private,152529, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+20011,35, Private,214891, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K
+20012,18, Private,133654, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20013,23, Private,147548, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+20014,57, Private,73051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20015,56, Self-emp-not-inc,60166, 1st-4th,2, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K
+20016,25, Self-emp-inc,454934, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+20017,64, ?,338355, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,15, United-States, <=50K
+20018,35, Self-emp-not-inc,185621, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+20019,61, Private,101500, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+20020,36, State-gov,36397, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+20021,18, Private,276540, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K
+20022,21, Private,293968, Some-college,10, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+20023,43, ?,35523, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+20024,32, Local-gov,186993, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20025,52, Private,232132, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+20026,48, Private,176917, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+20027,40, Private,105936, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20028,35, Private,105821, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+20029,22, ?,34506, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,25, United-States, <=50K
+20030,42, Private,178074, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20031,60, ?,116961, 7th-8th,4, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K
+20032,34, Private,191930, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+20033,27, Private,130807, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+20034,47, Self-emp-not-inc,94100, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K
+20035,65, Self-emp-not-inc,144822, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+20036,61, Self-emp-inc,102191, Masters,14, Widowed, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, <=50K
+20037,18, Private,90934, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K
+20038,49, ?,296892, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+20039,48, Private,173243, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+20040,26, Private,258768, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,2174,0,75, United-States, <=50K
+20041,30, Private,189759, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20042,68, Self-emp-not-inc,69249, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+20043,23, Private,133061, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K
+20044,65, Self-emp-not-inc,175202, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K
+20045,32, Private,27051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, <=50K
+20046,44, Private,60414, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20047,48, Local-gov,317360, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+20048,24, Private,258298, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+20049,58, Private,174040, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20050,32, Local-gov,177566, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,50, Germany, <=50K
+20051,54, Private,162238, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+20052,35, Private,87556, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+20053,35, Private,144322, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+20054,24, Private,190015, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+20055,50, Private,183173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K
+20056,38, Self-emp-not-inc,151322, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20057,57, Local-gov,47392, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20058,38, Private,107125, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+20059,49, Private,265295, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20060,25, Private,189219, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,16, United-States, <=50K
+20061,56, Private,147989, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20062,32, Private,185732, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+20063,22, Private,153516, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20064,23, ?,191910, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+20065,33, Private,216145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20066,42, Private,202872, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,12, United-States, <=50K
+20067,62, Self-emp-not-inc,39630, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+20068,24, ?,114292, 9th,5, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+20069,26, Local-gov,206721, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+20070,46, Private,358585, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K
+20071,33, Private,377283, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K
+20072,65, ?,76043, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,1, United-States, >50K
+20073,65, Without-pay,172949, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2414,0,20, United-States, <=50K
+20074,46, Private,110171, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+20075,43, Local-gov,223861, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20076,43, Private,163455, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20077,35, Private,183892, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20078,48, Private,47022, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, White, Female,0,0,48, United-States, <=50K
+20079,55, Federal-gov,145401, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20080,45, Private,387074, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20081,56, Private,105363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4508,0,40, United-States, <=50K
+20082,59, Federal-gov,195467, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20083,56, Local-gov,170217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20084,21, Private,156807, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,10, United-States, <=50K
+20085,26, Private,255193, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K
+20086,38, Private,273640, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+20087,27, Private,191177, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20088,48, Self-emp-inc,184787, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+20089,37, State-gov,239409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+20090,63, Self-emp-not-inc,404547, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+20091,27, State-gov,23740, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,38, United-States, >50K
+20092,20, Private,382153, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+20093,26, Private,164488, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+20094,21, ?,228424, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+20095,51, Self-emp-not-inc,168539, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20096,28, Private,189530, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20097,39, Private,89419, Assoc-voc,11, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, Columbia, <=50K
+20098,35, Private,224512, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+20099,21, ?,314645, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K
+20100,65, Private,85787, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20101,54, Local-gov,279881, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+20102,39, Private,194287, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,1602,35, United-States, <=50K
+20103,24, Private,141040, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+20104,36, Private,222294, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+20105,70, ?,410980, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K
+20106,52, Private,38795, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+20107,64, Private,182979, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20108,43, Private,223277, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20109,44, Private,67065, Assoc-voc,11, Never-married, Priv-house-serv, Not-in-family, White, Male,594,0,25, United-States, <=50K
+20110,47, Federal-gov,160647, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+20111,32, Private,45796, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+20112,20, Private,110597, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+20113,33, Private,166961, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+20114,52, Private,318975, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Cuba, <=50K
+20115,49, Private,305657, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20116,31, Private,120857, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,18, United-States, <=50K
+20117,62, Self-emp-not-inc,158712, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,6, United-States, <=50K
+20118,44, Private,304530, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+20119,28, Local-gov,327533, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K
+20120,68, Local-gov,233954, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, >50K
+20121,40, Federal-gov,26880, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+20122,46, Private,70754, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20123,22, Private,184665, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+20124,37, Self-emp-not-inc,245372, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,15, United-States, <=50K
+20125,62, Private,252668, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K
+20126,37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+20127,35, Private,241998, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4787,0,40, United-States, >50K
+20128,44, Private,106900, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K
+20129,41, Private,204235, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+20130,36, Local-gov,127772, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+20131,26, Private,117217, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+20132,48, Federal-gov,215389, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+20133,21, Private,198050, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+20134,39, Private,173476, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+20135,38, Private,217349, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K
+20136,44, Private,377018, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20137,56, Private,99894, 10th,6, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,30, Japan, >50K
+20138,25, Private,170786, 9th,5, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+20139,32, Local-gov,250585, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+20140,47, Private,198769, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K
+20141,26, Private,306513, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20142,31, Private,178623, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,14084,0,60, United-States, >50K
+20143,23, Private,109307, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+20144,41, Federal-gov,106982, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+20145,55, Self-emp-not-inc,396878, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,25, United-States, <=50K
+20146,23, Private,344278, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K
+20147,45, Private,203653, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298,0,40, United-States, >50K
+20148,42, Local-gov,227890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, <=50K
+20149,29, Private,107812, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K
+20150,48, Private,185143, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20151,36, Private,143068, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+20152,52, Self-emp-inc,114758, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+20153,46, Private,266337, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+20154,34, Private,321787, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+20155,27, State-gov,21306, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K
+20156,18, Private,271935, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+20157,18, Private,148952, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+20158,42, Private,196626, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20159,64, ?,108082, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+20160,36, Private,199439, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+20161,20, ?,304076, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K
+20162,52, Self-emp-inc,81436, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+20163,44, Self-emp-inc,352971, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+20164,53, Private,375134, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+20165,36, Private,206521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+20166,27, Private,330466, Bachelors,13, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+20167,52, Private,208302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+20168,60, Self-emp-not-inc,135285, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+20169,41, Private,171615, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+20170,64, Self-emp-not-inc,149698, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20171,25, Private,71351, 1st-4th,2, Never-married, Other-service, Other-relative, White, Male,0,0,25, El-Salvador, <=50K
+20172,63, Private,84737, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+20173,54, Local-gov,375134, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20174,21, Private,207103, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20175,27, Private,199314, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Poland, <=50K
+20176,63, Self-emp-not-inc,289741, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,41310,0,50, United-States, <=50K
+20177,37, Private,240837, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+20178,22, Private,283499, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K
+20179,54, Private,97778, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20180,54, Private,21698, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+20181,60, Local-gov,232618, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+20182,19, Private,175820, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+20183,25, Local-gov,63996, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20184,51, Local-gov,182985, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+20185,47, Federal-gov,380127, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20186,44, Self-emp-not-inc,111483, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+20187,18, ?,31008, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+20188,57, Private,96346, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,57, United-States, <=50K
+20189,22, Private,317528, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,34, United-States, <=50K
+20190,36, State-gov,223020, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+20191,33, ?,173998, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,1485,38, United-States, <=50K
+20192,39, Private,115076, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20193,49, Private,133969, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, United-States, >50K
+20194,41, Private,173858, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+20195,35, Private,193241, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+20196,40, Self-emp-inc,50644, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,1506,0,40, United-States, <=50K
+20197,30, Private,178841, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20198,25, Private,177017, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1504,37, United-States, <=50K
+20199,25, Private,253267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1902,36, United-States, >50K
+20200,37, Private,202027, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K
+20201,53, Self-emp-not-inc,321865, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+20202,34, Self-emp-not-inc,321709, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K
+20203,22, Private,166371, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, ?, <=50K
+20204,18, Private,210574, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+20205,52, ?,92968, Masters,14, Married-civ-spouse, ?, Wife, White, Female,15024,0,40, United-States, >50K
+20206,45, Private,474617, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,5455,0,40, United-States, <=50K
+20207,19, Private,264390, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2001,40, United-States, <=50K
+20208,33, Self-emp-inc,144949, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+20209,45, State-gov,90803, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+20210,43, State-gov,126701, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+20211,40, Private,178417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+20212,41, Self-emp-not-inc,197176, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, >50K
+20213,25, Private,182227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K
+20214,22, Private,117606, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K
+20215,52, Private,349502, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,45, United-States, <=50K
+20216,45, Federal-gov,81487, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, >50K
+20217,32, State-gov,169583, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K
+20218,26, Private,485117, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+20219,24, Private,35603, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+20220,37, Private,175390, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20221,49, Private,184986, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20222,43, Local-gov,174395, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+20223,35, Private,187711, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20224,37, Private,189878, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+20225,17, Private,224073, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+20226,48, Private,159726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K
+20227,40, ?,65545, Masters,14, Divorced, ?, Own-child, White, Female,0,0,55, United-States, <=50K
+20228,26, Private,456618, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,2597,0,40, United-States, <=50K
+20229,35, Private,202397, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+20230,21, Private,206681, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+20231,54, Private,222020, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,70, United-States, <=50K
+20232,40, Private,137304, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20233,51, Private,141645, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20234,60, Self-emp-not-inc,218085, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K
+20235,22, Private,52596, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K
+20236,20, Private,197997, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+20237,21, Private,191444, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K
+20238,21, Private,40767, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20239,43, Private,172577, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K
+20240,36, Private,241998, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+20241,65, State-gov,215908, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2174,40, United-States, >50K
+20242,48, Private,212120, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+20243,37, Private,109133, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,27828,0,60, Iran, >50K
+20244,20, Private,224424, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+20245,41, State-gov,214985, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20246,55, Self-emp-not-inc,147098, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+20247,39, Local-gov,149833, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+20248,41, Federal-gov,253770, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,7298,0,40, United-States, >50K
+20249,80, Private,252466, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K
+20250,59, State-gov,132717, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+20251,52, Private,138944, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20252,39, Private,280570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K
+20253,56, Self-emp-not-inc,144380, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+20254,69, Local-gov,660461, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+20255,49, Private,177211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+20256,33, Private,197424, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, United-States, <=50K
+20257,28, Self-emp-inc,31717, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+20258,49, Private,296849, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20259,51, Local-gov,193720, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+20260,42, Private,106698, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+20261,66, Private,214469, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,13, United-States, <=50K
+20262,44, Private,185798, Assoc-voc,11, Separated, Craft-repair, Other-relative, White, Male,0,0,48, United-States, >50K
+20263,26, Private,333108, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20264,43, Private,35210, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+20265,28, Private,140845, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,155,40, United-States, <=50K
+20266,25, ?,335376, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+20267,17, Private,170455, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+20268,52, Private,298215, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+20269,34, ?,93834, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,8, United-States, <=50K
+20270,24, Private,404416, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20271,41, ?,206916, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+20272,65, Private,143175, Some-college,10, Widowed, Sales, Other-relative, White, Female,0,0,45, United-States, <=50K
+20273,36, Self-emp-not-inc,409189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20274,19, Private,285750, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K
+20275,43, Private,235556, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,45, Mexico, <=50K
+20276,39, Local-gov,170382, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, England, >50K
+20277,48, Private,195437, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+20278,50, Local-gov,191130, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+20279,21, Private,231160, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+20280,36, Private,47310, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20281,33, Private,214635, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, Haiti, <=50K
+20282,50, Federal-gov,65160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20283,49, State-gov,423222, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K
+20284,34, Private,263307, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,45, ?, <=50K
+20285,70, Self-emp-inc,272896, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20286,39, Private,232854, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20287,44, Private,442035, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20288,32, Private,127875, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+20289,40, Private,283724, 9th,5, Never-married, Craft-repair, Other-relative, Black, Male,0,0,49, United-States, <=50K
+20290,46, Private,403911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1902,40, United-States, >50K
+20291,21, ?,228649, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+20292,40, Private,177027, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688,0,52, Japan, >50K
+20293,47, Private,249935, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,8, United-States, <=50K
+20294,19, Private,533147, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+20295,22, Private,137862, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,16, United-States, <=50K
+20296,20, Private,249543, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,16, United-States, <=50K
+20297,46, Local-gov,230979, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,4787,0,25, United-States, >50K
+20298,41, Private,137126, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K
+20299,17, Private,147339, 10th,6, Never-married, Prof-specialty, Own-child, Other, Female,0,0,15, United-States, <=50K
+20300,41, Private,256647, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+20301,28, Private,111696, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,1974,40, United-States, <=50K
+20302,20, ?,150084, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+20303,24, Private,285457, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20304,33, Private,303867, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+20305,44, Federal-gov,113597, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+20306,26, Self-emp-not-inc,151626, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+20307,47, Self-emp-not-inc,26145, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+20308,24, Private,176189, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20309,58, Federal-gov,497253, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+20310,41, Private,41090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,60, United-States, <=50K
+20311,38, Self-emp-not-inc,282461, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+20312,21, Private,225541, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20313,33, Private,203488, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K
+20314,23, ?,296613, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K
+20315,40, Private,99373, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+20316,47, Local-gov,109705, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20317,41, Private,144947, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20318,38, Private,617898, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+20319,50, Private,38310, 7th-8th,4, Divorced, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+20320,45, Private,248993, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male,0,0,40, United-States, <=50K
+20321,65, ?,149131, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Italy, >50K
+20322,33, Private,69311, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20323,34, Federal-gov,143766, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20324,65, Private,213477, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,28, United-States, <=50K
+20325,24, Private,275691, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,39, United-States, <=50K
+20326,26, Private,59367, Bachelors,13, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+20327,55, Private,35551, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20328,66, Private,236784, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,8, Cuba, <=50K
+20329,43, Local-gov,193755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+20330,37, Private,315291, Bachelors,13, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K
+20331,22, Private,290504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20332,21, Private,256240, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20333,69, ?,199591, Prof-school,15, Married-civ-spouse, ?, Wife, White, Female,0,0,25, ?, <=50K
+20334,27, Private,178709, Masters,14, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20335,48, Private,449354, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,45, United-States, >50K
+20336,24, Private,187937, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+20337,18, Never-worked,157131, 11th,7, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+20338,53, Local-gov,188772, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+20339,26, Private,157617, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K
+20340,60, Private,96099, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+20341,21, Private,122322, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K
+20342,39, Private,409189, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+20343,45, Private,175925, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+20344,76, Self-emp-not-inc,236878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+20345,19, Private,216647, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+20346,34, Private,300681, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, Jamaica, >50K
+20347,54, Private,327769, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20348,23, Private,194723, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20349,44, Local-gov,31251, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20350,27, Private,212506, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20351,23, Private,23037, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+20352,37, Self-emp-not-inc,29054, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+20353,41, Private,92733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20354,21, State-gov,184678, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+20355,37, Federal-gov,32528, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, England, >50K
+20356,63, Private,125954, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+20357,35, Private,73715, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20358,47, Private,209212, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, ?, <=50K
+20359,41, Private,287037, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20360,50, Self-emp-not-inc,64667, HS-grad,9, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,60, Vietnam, <=50K
+20361,26, Self-emp-inc,366662, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+20362,36, Local-gov,113337, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K
+20363,47, Private,387468, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Scotland, >50K
+20364,51, Private,384248, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, <=50K
+20365,41, Private,332703, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Other, Female,0,625,40, United-States, <=50K
+20366,40, Private,198873, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,30, United-States, >50K
+20367,32, Private,317809, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,50, United-States, <=50K
+20368,37, Local-gov,160910, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+20369,40, Self-emp-inc,182629, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20370,56, Private,267652, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20371,50, Private,410186, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20372,28, Private,365411, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K
+20373,28, Private,205337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20374,19, Self-emp-not-inc,100999, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+20375,44, Private,197462, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20376,42, Self-emp-not-inc,199143, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,7430,0,44, United-States, >50K
+20377,47, Private,191978, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20378,31, Private,50178, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20379,61, Private,72442, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+20380,21, Private,248512, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20381,26, Private,178140, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K
+20382,58, Private,354024, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+20383,35, Private,143589, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+20384,35, Private,219902, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20385,29, Local-gov,419722, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,3674,0,40, United-States, <=50K
+20386,40, Private,154374, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+20387,33, Private,132601, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+20388,38, Self-emp-not-inc,29430, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+20389,50, Self-emp-not-inc,30731, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20390,66, Private,210825, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+20391,36, Local-gov,251091, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+20392,33, Private,219034, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20393,55, Federal-gov,35723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+20394,46, Private,358886, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20395,36, Private,248708, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20396,41, ?,77937, 12th,8, Divorced, ?, Not-in-family, White, Female,0,0,40, Canada, <=50K
+20397,30, Private,30063, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+20398,29, Private,253799, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, England, <=50K
+20399,60, ?,41553, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20400,24, Private,59146, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+20401,42, Self-emp-not-inc,343609, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K
+20402,26, Private,216010, HS-grad,9, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+20403,37, Private,164526, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+20404,27, Private,150958, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,48, Guatemala, <=50K
+20405,26, Private,244495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+20406,23, Private,199336, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+20407,60, Private,151369, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+20408,49, Federal-gov,118701, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20409,46, Private,219611, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+20410,21, Private,184568, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20411,48, Self-emp-not-inc,246891, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+20412,70, Self-emp-inc,243436, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+20413,44, Local-gov,68318, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K
+20414,58, Private,56331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+20415,41, Private,190591, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+20416,54, Private,140359, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,3900,40, United-States, <=50K
+20417,42, Self-emp-inc,23510, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,2201,60, India, >50K
+20418,28, Private,122540, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20419,65, Private,212562, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K
+20420,35, Self-emp-not-inc,112497, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,35, Ireland, <=50K
+20421,82, Private,147729, 5th-6th,3, Widowed, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K
+20422,48, Self-emp-not-inc,296066, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+20423,44, Private,148138, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, Japan, >50K
+20424,68, Private,50351, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,6360,0,20, United-States, <=50K
+20425,42, Private,306496, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+20426,24, Private,210029, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,2001,37, United-States, <=50K
+20427,54, Private,163894, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+20428,22, Private,113936, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20429,43, Self-emp-not-inc,316820, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K
+20430,17, Private,53367, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+20431,46, Self-emp-not-inc,95256, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20432,59, Private,127728, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+20433,37, Private,66686, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+20434,70, ?,207627, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2228,0,24, United-States, <=50K
+20435,57, Self-emp-inc,199768, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,30, United-States, >50K
+20436,47, ?,186805, HS-grad,9, Married-civ-spouse, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+20437,31, Private,154297, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,24, United-States, <=50K
+20438,23, Private,103064, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20439,17, Private,93235, 12th,8, Never-married, Other-service, Own-child, White, Female,0,1721,25, United-States, <=50K
+20440,63, Private,440607, Preschool,1, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,30, Mexico, <=50K
+20441,44, Private,212894, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+20442,30, Private,167990, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+20443,23, Private,378460, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+20444,44, Private,151089, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,60, United-States, >50K
+20445,24, Private,153583, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+20446,34, Private,114639, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K
+20447,37, Private,344480, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+20448,24, Private,188300, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+20449,32, Private,105938, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+20450,42, Self-emp-not-inc,217826, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,25, Jamaica, <=50K
+20451,20, Private,379525, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+20452,34, State-gov,177331, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,4386,0,40, United-States, >50K
+20453,37, Private,127918, Some-college,10, Never-married, Transport-moving, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K
+20454,47, Federal-gov,27067, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20455,25, Private,250038, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,45, Mexico, <=50K
+20456,36, Self-emp-not-inc,36270, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1977,65, United-States, >50K
+20457,60, Private,308608, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+20458,64, Self-emp-inc,213574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,10, United-States, <=50K
+20459,32, Local-gov,235109, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+20460,33, State-gov,374905, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+20461,71, Private,118876, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,14, United-States, <=50K
+20462,55, Local-gov,223716, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+20463,85, Self-emp-not-inc,166027, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+20464,57, Self-emp-not-inc,275943, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K
+20465,39, Private,198654, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2415,67, India, >50K
+20466,25, Private,109080, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K
+20467,58, Private,104333, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20468,57, Private,195876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20469,30, Private,390879, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K
+20470,19, Private,197748, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K
+20471,40, Private,442045, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20472,28, Private,44216, HS-grad,9, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+20473,43, Federal-gov,114537, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+20474,40, ?,253370, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, >50K
+20475,19, Private,274830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+20476,24, Private,321763, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K
+20477,34, Private,213226, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K
+20478,22, Private,167787, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20479,64, Self-emp-not-inc,352712, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+20480,55, ?,316027, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, <=50K
+20481,26, Private,213412, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20482,80, Private,202483, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K
+20483,79, Local-gov,146244, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+20484,58, Self-emp-not-inc,450544, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20485,43, Private,81243, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+20486,43, Private,195258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20487,46, Private,57929, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+20488,35, Private,953588, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+20489,51, Private,99064, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+20490,52, Local-gov,194788, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4787,0,60, United-States, >50K
+20491,43, Self-emp-inc,155293, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+20492,68, Private,204082, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+20493,34, State-gov,216283, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+20494,37, Private,355856, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K
+20495,22, Private,297380, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+20496,32, Private,425622, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+20497,65, Self-emp-not-inc,145628, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20498,28, Private,115549, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K
+20499,37, Private,245482, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+20500,40, Self-emp-inc,142444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+20501,40, Private,134026, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+20502,52, Private,177366, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K
+20503,35, Private,38245, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+20504,62, Self-emp-not-inc,215944, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+20505,49, Private,115784, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+20506,49, Private,170165, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,55, United-States, <=50K
+20507,47, Private,355320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+20508,45, Private,116163, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20509,37, Private,405644, 1st-4th,2, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,77, Mexico, <=50K
+20510,36, Local-gov,223433, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, >50K
+20511,36, Private,41624, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K
+20512,44, Private,151089, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+20513,51, State-gov,285747, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K
+20514,25, State-gov,108542, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+20515,28, Self-emp-not-inc,212318, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+20516,57, Private,173090, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K
+20517,46, Private,26781, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+20518,59, Private,31782, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+20519,28, Private,189241, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20520,25, Private,164229, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,2597,0,40, United-States, <=50K
+20521,35, Private,240467, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20522,27, Private,263614, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+20523,29, Private,74500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+20524,43, Federal-gov,263502, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20525,38, Federal-gov,47707, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+20526,26, Private,231638, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20527,55, ?,389479, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+20528,36, Private,111128, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+20529,37, Private,152307, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+20530,23, ?,280134, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+20531,34, Private,609789, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, ?, <=50K
+20532,41, Private,184466, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, <=50K
+20533,44, Private,216411, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, Dominican-Republic, <=50K
+20534,48, Self-emp-not-inc,324173, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+20535,35, Local-gov,300681, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,7298,0,35, United-States, >50K
+20536,43, Local-gov,598995, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,42, United-States, <=50K
+20537,57, Federal-gov,140711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20538,44, Local-gov,262241, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+20539,28, Private,308136, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+20540,55, Private,148590, 10th,6, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20541,52, Private,195635, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,38, United-States, <=50K
+20542,30, Private,228406, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20543,31, Private,136398, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Thailand, >50K
+20544,21, ?,305466, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,70, United-States, <=50K
+20545,50, Self-emp-inc,175070, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+20546,43, Self-emp-not-inc,34007, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K
+20547,33, Private,121195, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0,0,50, United-States, <=50K
+20548,23, Federal-gov,216853, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K
+20549,35, Private,81280, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, Yugoslavia, >50K
+20550,18, Private,212936, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+20551,21, ?,213055, Some-college,10, Never-married, ?, Unmarried, Other, Female,0,0,40, United-States, <=50K
+20552,33, Local-gov,220430, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K
+20553,30, Federal-gov,73514, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K
+20554,21, Private,307371, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,15, United-States, <=50K
+20555,36, Local-gov,380614, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Germany, >50K
+20556,38, Private,119992, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+20557,33, Private,192002, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, Canada, >50K
+20558,24, Private,327518, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+20559,24, Private,220323, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K
+20560,39, Private,421633, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K
+20561,43, Private,154210, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,2829,0,60, China, <=50K
+20562,43, Self-emp-not-inc,35034, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,21, United-States, <=50K
+20563,62, ?,378239, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K
+20564,30, State-gov,270218, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+20565,25, Private,254933, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20566,45, Private,61751, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+20567,22, Private,137876, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K
+20568,73, Private,336007, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2246,40, United-States, >50K
+20569,26, Private,222539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20570,24, Private,233856, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,45, United-States, <=50K
+20571,18, Private,198616, 12th,8, Never-married, Craft-repair, Own-child, White, Male,594,0,20, United-States, <=50K
+20572,35, Private,202027, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,35, United-States, >50K
+20573,22, Private,203182, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K
+20574,28, Private,221317, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+20575,38, Private,186934, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+20576,68, ?,351402, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K
+20577,40, Local-gov,179580, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+20578,32, Private,26803, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K
+20579,42, Private,344624, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,50, United-States, >50K
+20580,31, State-gov,59969, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K
+20581,33, Private,162930, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Italy, <=50K
+20582,54, Self-emp-not-inc,192654, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+20583,63, Private,117681, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K
+20584,67, Self-emp-not-inc,179285, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+20585,47, Private,217161, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,14, United-States, <=50K
+20586,67, Self-emp-inc,116517, Bachelors,13, Widowed, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+20587,33, Private,170336, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,0,19, United-States, <=50K
+20588,33, Local-gov,256529, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,80, United-States, <=50K
+20589,25, Local-gov,227886, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+20590,25, Private,141706, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20591,35, Private,361888, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+20592,54, Private,185407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+20593,35, Self-emp-not-inc,176101, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, >50K
+20594,18, Private,216730, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+20595,54, ?,155755, HS-grad,9, Divorced, ?, Not-in-family, White, Female,4416,0,25, United-States, <=50K
+20596,30, Private,609789, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K
+20597,29, Private,136017, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K
+20598,41, Private,58880, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,10, United-States, >50K
+20599,40, Private,285787, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+20600,46, Private,173243, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K
+20601,39, Private,160916, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,45, United-States, <=50K
+20602,42, Private,227397, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+20603,49, Self-emp-not-inc,111066, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+20604,23, Private,189924, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+20605,34, Private,31740, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20606,42, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,48, United-States, <=50K
+20607,31, Private,172304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+20608,72, ?,166253, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, <=50K
+20609,31, Private,86492, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, >50K
+20610,90, Private,206667, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+20611,27, Self-emp-not-inc,153546, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+20612,18, ?,189041, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+20613,30, Self-emp-not-inc,115932, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,99999,0,50, United-States, >50K
+20614,27, Local-gov,151626, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+20615,27, Self-emp-not-inc,37302, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+20616,28, Private,109001, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20617,40, Private,195488, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K
+20618,43, Local-gov,216116, Masters,14, Separated, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K
+20619,26, Private,118497, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+20620,48, Self-emp-not-inc,101233, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K
+20621,41, Private,349703, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+20622,32, Private,226883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K
+20623,23, Private,214635, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20624,35, Private,169672, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+20625,42, Private,71458, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+20626,27, State-gov,142621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4101,0,40, United-States, <=50K
+20627,34, Private,125279, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20628,25, Private,197303, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+20629,46, Local-gov,148995, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,4787,0,45, United-States, >50K
+20630,34, Private,69251, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+20631,39, Private,160123, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20632,33, Private,137310, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, ?, <=50K
+20633,25, Private,323229, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20634,45, Private,138626, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K
+20635,46, Private,102359, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20636,23, Private,151888, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,4650,0,50, Ireland, <=50K
+20637,37, Private,404661, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+20638,39, Private,99146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+20639,38, Self-emp-not-inc,185325, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+20640,35, Self-emp-not-inc,230268, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+20641,49, Self-emp-inc,38819, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+20642,37, Private,380614, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,13, United-States, >50K
+20643,45, Private,319637, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+20644,71, Private,149040, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20645,44, Private,320984, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+20646,19, ?,117201, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,22, United-States, <=50K
+20647,38, Private,81965, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20648,42, Local-gov,182302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20649,29, Private,53434, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+20650,48, Private,216214, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20651,56, Self-emp-inc,24127, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, >50K
+20652,32, Federal-gov,115066, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+20653,19, Private,120277, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+20654,57, Self-emp-not-inc,134286, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+20655,55, Private,26716, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+20656,48, ?,174533, 11th,7, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+20657,46, Self-emp-inc,175958, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, ?, <=50K
+20658,36, Private,218948, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K
+20659,66, Private,117746, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+20660,26, Private,206199, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+20661,58, Self-emp-inc,89922, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+20662,62, Private,69867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+20663,31, Private,109020, Bachelors,13, Never-married, Prof-specialty, Unmarried, Other, Male,0,0,40, United-States, <=50K
+20664,77, ?,158847, Assoc-voc,11, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+20665,25, Private,130302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20666,38, Private,156728, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,56, United-States, <=50K
+20667,33, Private,424719, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20668,51, Federal-gov,217647, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20669,20, Private,33087, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+20670,40, Federal-gov,241895, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+20671,20, Private,38455, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20672,41, Local-gov,81054, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K
+20673,44, Private,163215, 12th,8, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+20674,35, Private,156728, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+20675,35, Self-emp-not-inc,127930, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+20676,46, Federal-gov,227310, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20677,24, Private,96844, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K
+20678,18, Private,245199, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+20679,37, Private,46385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20680,58, Private,186385, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,8, United-States, <=50K
+20681,55, Private,252714, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+20682,68, Private,154897, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+20683,41, Private,320744, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20684,50, Private,138852, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+20685,48, Private,102092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20686,42, ?,32533, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,45, United-States, <=50K
+20687,45, Private,278151, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+20688,43, Private,338290, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+20689,37, Private,34378, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+20690,43, Private,91959, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+20691,36, Private,265881, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+20692,60, Private,276009, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K
+20693,27, Private,193898, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20694,36, Private,139364, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+20695,47, State-gov,306473, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20696,33, Private,37232, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K
+20697,19, State-gov,56424, 12th,8, Never-married, Transport-moving, Own-child, Black, Male,0,0,20, United-States, <=50K
+20698,33, Private,165235, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Thailand, <=50K
+20699,34, Private,153326, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+20700,33, Private,106976, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+20701,57, Private,109015, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+20702,59, Private,154100, Masters,14, Never-married, Sales, Not-in-family, White, Female,27828,0,45, United-States, >50K
+20703,36, Private,183739, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Female,0,2002,40, United-States, <=50K
+20704,60, Private,367695, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+20705,33, Local-gov,156015, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+20706,41, Private,185132, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+20707,20, Self-emp-not-inc,188274, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+20708,28, Local-gov,50512, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2202,0,50, United-States, <=50K
+20709,24, State-gov,147719, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K
+20710,31, Private,414525, 12th,8, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+20711,38, Private,289148, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+20712,40, Private,176069, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+20713,55, State-gov,199713, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K
+20714,49, Private,297884, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,50, United-States, <=50K
+20715,33, Private,204829, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+20716,52, Private,155433, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K
+20717,24, Local-gov,32950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+20718,46, Private,233511, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K
+20719,20, Private,210781, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+20720,50, Private,190762, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+20721,22, Private,83315, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+20722,32, Self-emp-inc,343872, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, Haiti, <=50K
+20723,46, Private,185385, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+20724,62, ?,302142, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2961,0,30, United-States, <=50K
+20725,39, Private,80324, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,62, United-States, >50K
+20726,26, Private,357933, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+20727,20, Private,211293, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,14, United-States, <=50K
+20728,37, Self-emp-inc,199265, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+20729,40, Private,202872, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K
+20730,22, Private,195075, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K
+20731,32, Private,317378, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,10520,0,40, United-States, >50K
+20732,41, Private,187802, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20733,24, Private,97212, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+20734,40, Private,47902, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20735,37, State-gov,76767, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,39, United-States, >50K
+20736,42, Private,172297, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K
+20737,56, Private,274475, 9th,5, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+20738,20, Private,105244, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20739,55, Local-gov,165695, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+20740,29, Private,253801, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+20741,37, Private,305597, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20742,61, Self-emp-not-inc,352448, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+20743,26, Private,242768, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+20744,49, Self-emp-inc,201080, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+20745,18, Local-gov,159032, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+20746,30, Private,149568, 9th,5, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, United-States, <=50K
+20747,24, Private,229553, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,20, ?, <=50K
+20748,24, State-gov,155775, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+20749,37, Private,120074, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20750,37, Local-gov,257588, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+20751,36, Private,177907, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K
+20752,40, Private,309311, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+20753,44, Self-emp-not-inc,138975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+20754,43, Self-emp-not-inc,187778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+20755,19, Private,35865, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K
+20756,50, Private,234373, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, <=50K
+20757,17, ?,151141, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+20758,39, Private,144688, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,50, United-States, <=50K
+20759,43, Private,248094, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+20760,43, Private,248094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20761,40, Private,213821, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+20762,31, State-gov,55849, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20763,25, Private,121712, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20764,30, Federal-gov,164552, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,40, United-States, <=50K
+20765,55, Private,223127, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+20766,55, Private,190514, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,75, United-States, <=50K
+20767,29, Private,203797, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+20768,28, Private,378460, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,10520,0,60, United-States, >50K
+20769,30, Private,105908, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20770,33, Private,232356, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,55, United-States, <=50K
+20771,23, Private,210526, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+20772,71, Private,193530, 11th,7, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,75, United-States, <=50K
+20773,22, ?,22966, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+20774,21, Private,43535, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20775,62, ?,72486, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,24, China, <=50K
+20776,22, ?,229997, Some-college,10, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20777,49, Private,183013, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+20778,31, Private,113364, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K
+20779,27, Private,197380, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20780,27, Private,298635, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K
+20781,26, Private,213385, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+20782,30, ?,108464, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+20783,17, Private,31007, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+20784,26, Private,35917, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20785,45, Private,99385, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K
+20786,50, Private,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+20787,31, Private,241885, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K
+20788,51, Private,24344, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20789,56, Private,149686, 9th,5, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+20790,24, State-gov,154432, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K
+20791,29, Private,331875, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K
+20792,26, Private,259585, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,24, United-States, <=50K
+20793,51, Private,104748, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+20794,32, Local-gov,144949, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+20795,47, State-gov,199512, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20796,30, Private,302438, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20797,41, ?,129155, 11th,7, Widowed, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K
+20798,49, Federal-gov,115784, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20799,40, Private,96509, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+20800,62, Private,226733, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+20801,43, Self-emp-inc,244945, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+20802,76, Private,243768, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K
+20803,40, ?,351161, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K
+20804,35, Private,186934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+20805,27, Private,89813, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+20806,54, Self-emp-inc,129432, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+20807,55, Self-emp-not-inc,184702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+20808,21, Private,275291, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K
+20809,20, Private,258298, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+20810,39, Private,139743, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+20811,26, Private,102476, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,10520,0,64, United-States, >50K
+20812,20, Private,103840, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,42, United-States, <=50K
+20813,28, Private,274579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+20814,56, Federal-gov,156842, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+20815,39, Private,101020, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20816,44, Federal-gov,68729, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+20817,55, Private,141326, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20818,54, Self-emp-not-inc,168723, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+20819,30, Private,347166, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,45, United-States, >50K
+20820,34, Local-gov,213722, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,57, United-States, >50K
+20821,42, Private,196797, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,38, United-States, <=50K
+20822,50, Self-emp-inc,207246, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,75, United-States, <=50K
+20823,34, Federal-gov,199934, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+20824,23, Private,272185, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,33, United-States, <=50K
+20825,27, ?,190650, Bachelors,13, Never-married, ?, Unmarried, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K
+20826,81, ?,147097, Bachelors,13, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K
+20827,47, Private,266281, 11th,7, Never-married, Machine-op-inspct, Unmarried, Black, Female,6849,0,40, United-States, <=50K
+20828,57, Private,96779, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20829,65, ?,117162, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,56, United-States, >50K
+20830,33, Private,188352, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+20831,37, Private,359131, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K
+20832,53, Private,198824, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+20833,27, State-gov,68393, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20834,47, Private,115613, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+20835,42, Private,45363, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+20836,39, Private,121590, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,4787,0,40, United-States, >50K
+20837,58, Local-gov,292379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20838,20, Private,482732, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,24, United-States, <=50K
+20839,19, Private,198663, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+20840,39, Private,230329, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+20841,51, Private,29887, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K
+20842,52, Private,194259, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, Germany, <=50K
+20843,53, Private,126368, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, >50K
+20844,50, Private,108446, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+20845,36, Private,220696, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20846,30, Private,32008, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,72, United-States, <=50K
+20847,30, Private,191777, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K
+20848,50, Private,185846, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+20849,76, Private,127016, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+20850,46, Self-emp-not-inc,102308, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K
+20851,24, Private,157894, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+20852,26, Private,345405, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2885,0,40, United-States, <=50K
+20853,56, Self-emp-not-inc,94156, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+20854,50, Private,145409, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+20855,22, Private,190968, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K
+20856,23, Local-gov,212803, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+20857,51, Private,168660, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+20858,58, Private,234481, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20859,38, Private,131461, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,24, Haiti, <=50K
+20860,45, Private,408773, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+20861,55, Self-emp-not-inc,126117, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20862,45, Private,155489, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+20863,42, Private,296749, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+20864,44, State-gov,185832, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K
+20865,60, Private,43235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+20866,27, Private,213152, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20867,25, Local-gov,334267, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20868,61, ?,253101, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K
+20869,43, Private,64631, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+20870,44, Local-gov,193882, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K
+20871,63, Private,71800, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,41, United-States, <=50K
+20872,46, Local-gov,170092, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K
+20873,47, Private,198223, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20874,37, Private,359796, Some-college,10, Divorced, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+20875,43, Private,110556, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20876,46, Private,196858, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+20877,48, ?,112860, 10th,6, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, <=50K
+20878,61, Self-emp-not-inc,224784, Assoc-acdm,12, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,90, United-States, <=50K
+20879,53, Federal-gov,271544, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1977,40, United-States, >50K
+20880,79, ?,142171, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,1409,0,35, United-States, <=50K
+20881,44, Private,221172, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+20882,54, Private,256916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+20883,22, Private,157332, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+20884,47, Federal-gov,192894, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K
+20885,18, Private,240183, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+20886,25, Private,204338, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+20887,24, Private,122166, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Iran, <=50K
+20888,37, Local-gov,397877, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+20889,51, Private,115066, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,2547,40, United-States, >50K
+20890,35, Self-emp-not-inc,170174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K
+20891,59, Private,171015, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,34, United-States, <=50K
+20892,46, Private,91262, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+20893,45, Local-gov,127678, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+20894,19, Private,263338, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+20895,22, Private,129508, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,28, United-States, <=50K
+20896,41, Private,192107, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20897,33, Self-emp-not-inc,93930, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+20898,26, Federal-gov,207537, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+20899,22, Private,138542, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K
+20900,29, Self-emp-not-inc,116207, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+20901,22, Private,198244, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K
+20902,34, Private,90614, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,2042,10, United-States, <=50K
+20903,23, Private,211160, 12th,8, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20904,20, Private,194630, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3781,0,50, United-States, <=50K
+20905,25, Private,161478, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+20906,59, Private,144071, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+20907,44, Private,167005, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,55, United-States, <=50K
+20908,55, Private,342121, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+20909,77, Self-emp-not-inc,71676, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,1944,1, United-States, <=50K
+20910,42, Private,124692, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20911,47, Private,147236, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20912,42, Private,145175, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+20913,45, Private,259323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20914,23, Private,154978, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K
+20915,60, ?,163946, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+20916,23, Private,127768, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20917,52, Private,98588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+20918,49, Private,192894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+20919,20, Private,194848, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+20920,20, Private,34446, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+20921,23, Local-gov,177265, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K
+20922,30, Private,142977, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K
+20923,45, Private,241350, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K
+20924,30, Private,154882, Prof-school,15, Widowed, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+20925,17, Private,60562, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+20926,22, Private,142566, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20927,25, Private,176162, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20928,52, Private,186303, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, Canada, >50K
+20929,40, Private,237671, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+20930,18, ?,184416, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K
+20931,58, Private,68624, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+20932,30, Private,229504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+20933,59, Private,340591, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942,0,40, United-States, <=50K
+20934,29, Private,262208, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, Jamaica, <=50K
+20935,26, Private,236008, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+20936,39, Local-gov,214284, Bachelors,13, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,10, Japan, <=50K
+20937,33, Private,169496, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+20938,21, ?,205940, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+20939,22, Private,195179, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K
+20940,25, Private,469697, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+20941,19, ?,140242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+20942,44, Private,214415, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+20943,35, Private,452283, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+20944,40, Private,244172, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+20945,19, Private,231972, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+20946,37, Private,412296, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, >50K
+20947,32, Private,30497, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+20948,52, Self-emp-not-inc,189216, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+20949,36, Private,268292, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K
+20950,38, Private,69306, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+20951,57, State-gov,111224, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,39, United-States, <=50K
+20952,22, State-gov,309348, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K
+20953,80, ?,174995, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, Canada, <=50K
+20954,20, Private,210781, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+20955,40, Private,286750, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,36, United-States, <=50K
+20956,36, Self-emp-not-inc,321274, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+20957,27, Private,192936, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+20958,52, Private,72743, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+20959,43, Private,187861, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,44, United-States, <=50K
+20960,35, Private,179579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+20961,29, Private,663394, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+20962,27, Private,302422, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+20963,24, ?,154373, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K
+20964,49, Local-gov,37353, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+20965,26, Self-emp-not-inc,109609, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+20966,47, Private,184402, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+20967,20, Private,224640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20968,19, Private,405526, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+20969,34, Private,36385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,2258,50, United-States, <=50K
+20970,20, Private,147884, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+20971,23, Private,164231, 11th,7, Separated, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K
+20972,25, Private,383306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+20973,21, Private,417668, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K
+20974,25, Private,161007, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+20975,63, State-gov,99823, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,32, United-States, <=50K
+20976,25, Private,37379, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K
+20977,28, Private,148645, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+20978,39, Private,180477, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+20979,28, Private,123147, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K
+20980,30, Private,111415, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+20981,41, Local-gov,107327, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+20982,52, Local-gov,146565, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,4865,0,30, United-States, <=50K
+20983,36, Private,267556, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K
+20984,47, Private,284871, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+20985,27, Private,194690, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,50, Mexico, <=50K
+20986,32, Federal-gov,145983, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+20987,52, Private,163998, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K
+20988,50, Private,128478, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K
+20989,21, Private,250647, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,30, Nicaragua, <=50K
+20990,60, Private,226949, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+20991,47, Private,157901, 11th,7, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,36, United-States, <=50K
+20992,54, Self-emp-not-inc,33863, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+20993,32, Local-gov,40444, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+20994,61, Private,54373, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+20995,21, Private,52753, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1504,40, United-States, <=50K
+20996,29, Self-emp-not-inc,104423, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,4386,0,45, United-States, >50K
+20997,36, Local-gov,305714, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,70, United-States, <=50K
+20998,38, Local-gov,167440, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+20999,59, Private,291529, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K
+21000,43, Private,243380, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+21001,19, Private,38619, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K
+21002,42, Private,230684, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K
+21003,33, Private,132601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+21004,47, Private,193285, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,5013,0,40, United-States, <=50K
+21005,51, Private,279156, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+21006,28, Private,339372, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21007,61, Private,101265, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K
+21008,23, Private,117789, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+21009,31, Private,312667, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21010,38, Self-emp-not-inc,255503, 11th,7, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+21011,21, Private,221955, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+21012,22, Private,139190, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+21013,35, Private,185556, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+21014,53, Federal-gov,84278, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+21015,40, Private,114580, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,24, United-States, >50K
+21016,36, Private,185405, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+21017,33, Self-emp-not-inc,199539, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+21018,23, Private,346480, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+21019,51, Local-gov,349431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K
+21020,31, Private,219619, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,48, United-States, <=50K
+21021,28, Local-gov,127491, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,5721,0,40, United-States, <=50K
+21022,26, Self-emp-not-inc,253899, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21023,32, Private,155232, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,60, United-States, >50K
+21024,43, Private,182437, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+21025,19, Private,530454, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+21026,46, Private,101430, 11th,7, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21027,49, Local-gov,358668, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+21028,31, Private,90668, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21029,45, Private,126141, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21030,41, Private,238355, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+21031,22, Private,194031, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+21032,25, Private,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K
+21033,46, Private,249686, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+21034,44, Self-emp-not-inc,219591, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21035,25, Private,221757, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21036,30, Private,80625, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21037,54, Private,185407, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+21038,34, Private,163110, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+21039,34, ?,24504, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21040,30, Private,159187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,55, United-States, >50K
+21041,21, Private,100462, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,2174,0,60, United-States, <=50K
+21042,27, Private,192936, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21043,29, Private,145011, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+21044,60, Self-emp-inc,181196, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21045,36, Self-emp-not-inc,37778, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+21046,27, Private,60288, Masters,14, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+21047,57, Self-emp-not-inc,84231, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K
+21048,24, Private,52028, 1st-4th,2, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,5, Vietnam, <=50K
+21049,63, Private,318763, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,22, United-States, <=50K
+21050,29, Private,168138, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+21051,34, Private,113530, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+21052,27, Private,321896, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21053,31, Private,145791, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+21054,31, Private,131425, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21055,55, Private,145214, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,4650,0,20, United-States, <=50K
+21056,64, Local-gov,142166, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K
+21057,20, Private,494784, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K
+21058,44, Self-emp-not-inc,172479, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,60, United-States, >50K
+21059,35, Private,184655, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21060,41, Local-gov,26669, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21061,38, Private,191479, Some-college,10, Divorced, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+21062,21, Private,86625, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, ?, <=50K
+21063,64, State-gov,111795, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+21064,42, Private,242564, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2205,40, United-States, <=50K
+21065,31, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K
+21066,42, Self-emp-not-inc,436107, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+21067,35, Private,272476, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, >50K
+21068,36, Federal-gov,47310, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, >50K
+21069,23, Private,283796, 12th,8, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,30, Mexico, <=50K
+21070,20, Private,161092, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,14, United-States, <=50K
+21071,26, Local-gov,265230, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21072,56, Federal-gov,61885, Bachelors,13, Never-married, Transport-moving, Not-in-family, Black, Male,0,2001,65, United-States, <=50K
+21073,40, Private,150471, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21074,19, Private,183041, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K
+21075,33, Private,176673, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21076,45, Federal-gov,235891, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K
+21077,41, Private,163287, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,43, United-States, >50K
+21078,29, Private,164040, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21079,46, Local-gov,324561, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+21080,48, Private,99127, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+21081,38, Private,334999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+21082,29, Private,543477, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+21083,35, Private,65876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21084,59, Local-gov,105866, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, United-States, <=50K
+21085,27, Private,214858, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+21086,43, Private,154076, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+21087,70, Private,280307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Cuba, <=50K
+21088,30, Private,97723, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K
+21089,24, Private,233499, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+21090,76, Local-gov,259612, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,15, United-States, <=50K
+21091,25, Private,236977, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K
+21092,39, Private,347814, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,56, United-States, <=50K
+21093,36, Local-gov,197495, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21094,23, Private,227594, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+21095,60, Private,165441, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+21096,20, ?,337488, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K
+21097,54, Private,167552, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, >50K
+21098,20, Private,396722, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21099,22, Federal-gov,146538, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+21100,24, Private,51973, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+21101,41, Private,144778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21102,35, Private,169672, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21103,23, Private,240137, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K
+21104,54, State-gov,103179, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+21105,17, Private,172050, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+21106,43, Private,178976, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21107,33, Private,176185, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,2258,42, United-States, <=50K
+21108,30, Private,158200, Prof-school,15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+21109,38, Federal-gov,172571, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+21110,54, Self-emp-not-inc,226735, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,45, United-States, <=50K
+21111,39, Private,148015, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,52, United-States, <=50K
+21112,32, Private,199529, Some-college,10, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0,1980,40, United-States, <=50K
+21113,61, Local-gov,35001, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,2885,0,40, United-States, <=50K
+21114,24, ?,67586, Assoc-voc,11, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, <=50K
+21115,22, Private,88126, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+21116,34, Private,226296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+21117,18, Private,452452, 10th,6, Never-married, Priv-house-serv, Own-child, Black, Female,0,0,20, United-States, <=50K
+21118,20, Private,378546, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K
+21119,53, Federal-gov,186087, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K
+21120,32, Private,27856, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21121,68, Self-emp-not-inc,234859, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+21122,28, Private,71733, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K
+21123,28, Private,207473, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, El-Salvador, <=50K
+21124,54, Private,179291, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,56, Haiti, >50K
+21125,21, ?,253190, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,48, United-States, <=50K
+21126,52, Private,92968, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, ?, <=50K
+21127,25, Private,209286, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21128,30, Private,122889, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K
+21129,33, Private,112358, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+21130,49, Private,176341, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K
+21131,58, Private,247276, 7th-8th,4, Widowed, Other-service, Not-in-family, Other, Female,0,0,30, United-States, <=50K
+21132,45, Private,276087, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K
+21133,67, Private,257557, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,10566,0,40, United-States, <=50K
+21134,42, Local-gov,177937, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K
+21135,69, Self-emp-inc,106395, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+21136,61, Private,167138, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21137,34, Private,213887, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21138,28, Private,185647, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+21139,19, Private,143360, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,34, United-States, <=50K
+21140,31, Self-emp-not-inc,176862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21141,32, Federal-gov,97614, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21142,76, ?,224680, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,1258,20, United-States, <=50K
+21143,53, Private,196763, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K
+21144,46, Private,306183, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+21145,43, Self-emp-not-inc,343061, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,40, Cuba, <=50K
+21146,48, ?,193047, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+21147,39, Private,348521, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,99, United-States, >50K
+21148,59, Private,195835, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21149,19, Private,106273, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K
+21150,40, Private,222756, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+21151,63, Self-emp-inc,110610, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+21152,44, ?,191982, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,10, Poland, <=50K
+21153,46, Private,247286, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+21154,22, Private,219042, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+21155,36, Private,224566, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,1669,45, United-States, <=50K
+21156,57, Private,204751, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21157,58, Private,113398, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K
+21158,25, ?,170428, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,28, Taiwan, <=50K
+21159,59, Private,258579, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,35, United-States, >50K
+21160,36, Private,162424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+21161,29, Private,263005, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Germany, <=50K
+21162,49, Self-emp-inc,26502, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,6497,0,45, United-States, <=50K
+21163,42, Private,369131, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+21164,43, Local-gov,114859, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,17, United-States, <=50K
+21165,46, Private,405309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+21166,43, Local-gov,323627, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K
+21167,40, Private,106698, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K
+21168,43, Private,51506, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+21169,48, Private,117251, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+21170,26, Private,106705, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,28, United-States, <=50K
+21171,30, Private,217296, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+21172,58, Private,34788, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+21173,43, Private,143368, HS-grad,9, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21174,53, Local-gov,86600, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+21175,74, State-gov,117017, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K
+21176,64, ?,104756, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,8, United-States, <=50K
+21177,45, Private,55720, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+21178,32, State-gov,481096, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,10, United-States, <=50K
+21179,23, ?,281668, 10th,6, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+21180,38, Private,186145, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+21181,42, Self-emp-not-inc,96524, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+21182,24, Local-gov,187397, Some-college,10, Never-married, Protective-serv, Unmarried, Other, Male,1151,0,40, United-States, <=50K
+21183,63, Private,181153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+21184,25, Local-gov,375170, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, United-States, <=50K
+21185,37, Private,360743, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+21186,28, Self-emp-not-inc,420054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K
+21187,31, Private,137681, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21188,46, Private,28419, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+21189,44, Private,101214, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,44, United-States, >50K
+21190,42, Local-gov,213019, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+21191,45, Private,207540, Doctorate,16, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K
+21192,52, Private,145333, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+21193,40, Private,107306, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21194,26, Private,195327, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+21195,55, Private,196126, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+21196,17, Private,175465, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K
+21197,27, Private,197905, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21198,71, Self-emp-inc,118119, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,50, United-States, >50K
+21199,35, Private,172571, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+21200,17, Private,25051, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+21201,26, Private,210714, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K
+21202,22, Private,183083, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K
+21203,51, Private,99185, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+21204,33, Private,283921, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21205,41, Local-gov,396467, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K
+21206,50, Private,158680, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21207,26, Private,202091, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+21208,21, Private,285127, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21209,53, Private,218630, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+21210,32, Self-emp-inc,99309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21211,19, Private,165505, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+21212,22, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+21213,58, Private,147707, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+21214,47, Federal-gov,44257, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K
+21215,51, Self-emp-inc,194995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+21216,42, State-gov,345969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+21217,28, Private,31842, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+21218,29, Private,143582, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,35, Vietnam, <=50K
+21219,50, Private,161438, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21220,22, Private,317019, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21221,47, Self-emp-not-inc,158451, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+21222,60, Private,225883, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,27, United-States, <=50K
+21223,46, Self-emp-not-inc,176319, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,7298,0,40, United-States, >50K
+21224,58, Self-emp-inc,258883, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+21225,62, Private,26966, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21226,47, Private,202812, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+21227,59, Private,35411, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21228,41, Private,190885, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+21229,31, Private,182162, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K
+21230,18, Private,352640, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+21231,64, Self-emp-not-inc,213945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+21232,51, Self-emp-not-inc,135102, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+21233,47, Self-emp-not-inc,102583, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+21234,68, Private,225612, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,35, United-States, >50K
+21235,32, Private,241802, HS-grad,9, Married-civ-spouse, Other-service, Wife, Other, Female,0,0,40, United-States, <=50K
+21236,39, Private,347434, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,43, Mexico, <=50K
+21237,37, Private,305259, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K
+21238,29, Private,140830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+21239,44, Private,291568, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,40, United-States, <=50K
+21240,46, Private,203067, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+21241,40, Self-emp-not-inc,155106, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21242,19, ?,252752, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,35, United-States, <=50K
+21243,65, ?,404601, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2414,0,30, United-States, <=50K
+21244,52, Local-gov,100226, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+21245,40, Private,63503, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21246,61, Private,95929, 9th,5, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21247,30, Private,187618, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+21248,61, Self-emp-not-inc,92178, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21249,33, Private,220362, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K
+21250,32, Local-gov,209900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+21251,32, Private,272376, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21252,32, Self-emp-not-inc,173854, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, >50K
+21253,37, Private,278924, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21254,53, Private,324568, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+21255,51, Self-emp-inc,124963, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+21256,29, Private,211299, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+21257,48, Private,192791, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21258,69, Private,182862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,15831,0,40, United-States, >50K
+21259,28, Private,46868, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21260,55, Local-gov,31365, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+21261,45, Private,148171, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K
+21262,18, Private,142647, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+21263,60, Private,116230, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21264,38, Private,108907, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, ?, <=50K
+21265,19, Private,495982, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K
+21266,18, Private,334026, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K
+21267,33, Private,268571, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21268,33, Private,213813, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+21269,29, Private,241667, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+21270,37, Private,160920, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+21271,50, Private,107265, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+21272,19, ?,41609, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K
+21273,28, Private,129460, 10th,6, Widowed, Adm-clerical, Unmarried, White, Female,0,2238,35, United-States, <=50K
+21274,43, ?,109912, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,7, United-States, >50K
+21275,23, Private,167424, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+21276,47, Private,270079, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21277,21, Private,325923, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K
+21278,19, Private,194905, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+21279,47, Local-gov,183486, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+21280,36, Federal-gov,153066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+21281,62, Self-emp-inc,56248, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,60, United-States, >50K
+21282,65, Private,105252, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+21283,46, Self-emp-not-inc,168195, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K
+21284,35, Private,167735, 11th,7, Never-married, Craft-repair, Own-child, White, Male,6849,0,40, United-States, <=50K
+21285,50, Private,146310, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21286,20, Private,256504, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,6, United-States, <=50K
+21287,17, Private,121425, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+21288,33, Private,146440, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+21289,57, ?,155259, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21290,53, Self-emp-not-inc,98829, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+21291,47, Self-emp-inc,239321, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+21292,62, Self-emp-inc,134768, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+21293,35, Private,556902, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21294,27, Private,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+21295,23, Private,114357, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K
+21296,27, Private,189462, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1504,45, United-States, <=50K
+21297,39, Private,90646, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21298,25, Private,232914, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, <=50K
+21299,24, Private,192201, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+21300,23, Private,27776, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21301,29, Private,137476, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K
+21302,30, Private,100734, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, <=50K
+21303,34, Private,111746, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, Portugal, <=50K
+21304,32, Private,184833, 10th,6, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+21305,18, Private,414721, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,1602,23, United-States, <=50K
+21306,20, Private,151780, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+21307,38, State-gov,203628, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+21308,18, Private,137363, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+21309,41, Private,172307, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21310,21, Private,273403, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+21311,36, State-gov,37931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K
+21312,61, Private,97030, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21313,30, Private,54608, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+21314,26, Private,108542, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+21315,27, Private,253814, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+21316,45, Private,421412, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+21317,47, Private,207140, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+21318,19, Private,138153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+21319,29, Private,46987, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K
+21320,51, Self-emp-inc,183173, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+21321,34, Local-gov,229531, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+21322,42, Self-emp-not-inc,320744, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,45, United-States, <=50K
+21323,26, Private,257405, 5th-6th,3, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, Mexico, <=50K
+21324,20, State-gov,432052, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,15, United-States, <=50K
+21325,43, Private,397280, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+21326,20, Private,38001, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+21327,27, Private,101618, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+21328,46, Federal-gov,332727, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21329,39, Private,115215, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+21330,33, Private,178449, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,49, United-States, <=50K
+21331,42, Private,185267, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,32, United-States, <=50K
+21332,23, Private,410439, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+21333,29, Private,85572, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, United-States, >50K
+21334,27, Private,83517, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+21335,43, Self-emp-not-inc,194726, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+21336,23, Private,322674, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21337,40, Local-gov,34540, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K
+21338,35, Local-gov,211073, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,61, United-States, >50K
+21339,30, Private,194901, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+21340,59, Private,117059, 11th,7, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+21341,65, Self-emp-not-inc,78875, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290,0,40, United-States, <=50K
+21342,28, Private,51461, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+21343,79, Private,266119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+21344,43, Local-gov,92374, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, >50K
+21345,54, Private,175262, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21346,27, Private,208249, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,62, United-States, <=50K
+21347,30, Private,196385, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K
+21348,22, ?,110622, Bachelors,13, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, Taiwan, <=50K
+21349,34, Private,146980, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,65, United-States, <=50K
+21350,18, Private,112974, 11th,7, Never-married, Prof-specialty, Other-relative, White, Male,0,0,3, United-States, <=50K
+21351,40, Self-emp-not-inc,175943, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,15, United-States, >50K
+21352,28, Private,163265, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,4508,0,40, United-States, <=50K
+21353,18, Private,210932, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+21354,46, Private,145290, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21355,23, Private,198992, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+21356,77, ?,174887, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+21357,41, Federal-gov,36651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K
+21358,48, Private,190072, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+21359,29, Private,49087, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21360,41, Private,126622, 11th,7, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+21361,41, Private,174189, 9th,5, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21362,34, Private,118605, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+21363,49, Self-emp-not-inc,377622, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21364,49, Private,157272, HS-grad,9, Separated, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+21365,30, Private,78530, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21366,28, Private,190391, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21367,62, State-gov,162678, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+21368,41, Private,103980, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, <=50K
+21369,20, Private,293726, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21370,61, Private,98350, Preschool,1, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+21371,30, Private,207668, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,60, Hungary, <=50K
+21372,29, Federal-gov,41013, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+21373,50, Private,188186, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,1590,45, United-States, <=50K
+21374,44, Federal-gov,320071, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21375,25, Private,306908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+21376,62, Private,167652, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21377,57, Private,173580, Some-college,10, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+21378,35, Private,273612, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+21379,26, Private,195555, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21380,60, Private,186446, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+21381,22, Private,418405, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21382,62, Local-gov,41793, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, ?, <=50K
+21383,26, Private,183965, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21384,26, Private,354784, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+21385,44, Private,198096, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+21386,32, Private,732102, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21387,66, Self-emp-not-inc,97847, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+21388,24, Private,196678, Preschool,1, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+21389,19, Private,320014, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+21390,54, Self-emp-inc,298215, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21391,37, Private,295127, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21392,38, Private,368140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21393,37, Self-emp-not-inc,187411, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, ?, <=50K
+21394,22, ?,121070, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+21395,34, Private,212163, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+21396,35, Self-emp-not-inc,108198, HS-grad,9, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,15, United-States, <=50K
+21397,42, Federal-gov,294431, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+21398,47, Federal-gov,202560, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+21399,29, Self-emp-inc,266070, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K
+21400,34, Private,346122, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21401,38, Self-emp-inc,308686, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K
+21402,62, Self-emp-inc,236096, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21403,35, Private,187711, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21404,37, Private,238959, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+21405,47, Private,93557, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+21406,37, Private,329980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21407,22, Private,125010, Assoc-voc,11, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21408,60, Self-emp-inc,90915, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+21409,31, Private,289731, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21410,74, ?,33114, 10th,6, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,1797,0,30, United-States, <=50K
+21411,63, Private,206052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21412,30, Private,191385, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21413,44, ?,268804, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K
+21414,40, Self-emp-inc,191429, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+21415,35, Self-emp-not-inc,199753, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+21416,50, Local-gov,92486, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21417,18, Private,171088, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K
+21418,33, Private,112820, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+21419,59, Self-emp-not-inc,32855, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+21420,17, Private,142964, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+21421,47, Private,89146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+21422,51, ?,147015, Some-college,10, Divorced, ?, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+21423,26, Private,291968, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21424,32, Local-gov,29235, Some-college,10, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,40, France, >50K
+21425,55, Private,238216, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21426,36, State-gov,323726, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21427,54, Private,141663, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+21428,19, ?,218471, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K
+21429,32, Private,118551, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+21430,52, Local-gov,35092, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21431,39, Private,139703, HS-grad,9, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,28, Jamaica, <=50K
+21432,39, Federal-gov,206190, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+21433,59, Self-emp-not-inc,178353, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21434,55, Federal-gov,169133, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+21435,54, Self-emp-not-inc,103179, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+21436,31, Private,354464, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+21437,19, ?,124651, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K
+21438,30, Private,60426, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+21439,47, Federal-gov,98726, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21440,31, Private,133861, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21441,32, Self-emp-not-inc,180303, Bachelors,13, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,47, Iran, <=50K
+21442,33, Private,221324, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21443,31, Private,325658, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+21444,32, Private,210562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21445,46, Private,152249, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+21446,29, Private,178649, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,20, France, <=50K
+21447,41, State-gov,48997, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+21448,39, Private,243409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+21449,34, Private,162442, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+21450,23, Private,203078, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,24, United-States, <=50K
+21451,53, Self-emp-inc,155983, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+21452,45, Self-emp-not-inc,182677, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K
+21453,34, ?,170276, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,10, United-States, >50K
+21454,47, Private,105381, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21455,24, ?,256240, 7th-8th,4, Married-civ-spouse, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+21456,42, Private,210275, Masters,14, Divorced, Tech-support, Unmarried, Black, Female,4687,0,35, United-States, >50K
+21457,53, Private,150980, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, United-States, <=50K
+21458,38, Self-emp-inc,141584, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K
+21459,26, Private,113571, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+21460,18, Private,154089, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+21461,43, Private,50197, 10th,6, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21462,26, Private,132572, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K
+21463,47, Private,238185, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21464,26, Private,112754, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K
+21465,21, ?,357029, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,2105,0,20, United-States, <=50K
+21466,32, State-gov,213389, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,1726,38, United-States, <=50K
+21467,48, Self-emp-inc,287647, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K
+21468,39, Private,150061, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,15020,0,60, United-States, >50K
+21469,58, Self-emp-inc,143266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+21470,55, Self-emp-not-inc,68006, 7th-8th,4, Never-married, Other-service, Other-relative, White, Female,0,0,60, United-States, <=50K
+21471,40, Private,287079, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K
+21472,33, Private,223212, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+21473,74, Self-emp-not-inc,173929, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, >50K
+21474,49, Self-emp-not-inc,182211, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K
+21475,56, Self-emp-not-inc,62539, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,65, Greece, >50K
+21476,29, Private,157612, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K
+21477,25, Private,305472, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,48, United-States, <=50K
+21478,57, Private,548256, 12th,8, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+21479,29, Private,40295, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+21480,28, Private,112403, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,2354,0,40, United-States, <=50K
+21481,59, Private,31137, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21482,30, Private,116138, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K
+21483,28, ?,127833, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21484,19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+21485,40, Private,240027, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K
+21486,28, Private,129882, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21487,48, ?,355890, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K
+21488,20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, Canada, <=50K
+21489,58, Private,136841, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,35, United-States, >50K
+21490,19, Private,146679, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,30, United-States, <=50K
+21491,75, ?,35724, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K
+21492,24, Federal-gov,42251, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21493,31, Private,113838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+21494,28, Self-emp-not-inc,282398, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+21495,41, Private,33331, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+21496,23, Federal-gov,41031, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+21497,46, Private,155489, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K
+21498,33, Private,53042, 12th,8, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+21499,34, Private,174789, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+21500,47, Local-gov,203067, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21501,81, Private,177408, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,26, United-States, >50K
+21502,45, Private,216626, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Other, Male,0,0,40, Columbia, <=50K
+21503,35, Private,93034, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K
+21504,59, Self-emp-not-inc,188003, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+21505,46, Local-gov,65535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+21506,39, Private,366757, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+21507,23, Private,414545, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+21508,25, Private,295919, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21509,37, Private,34378, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21510,49, Self-emp-inc,58359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+21511,25, Private,476334, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+21512,32, Private,255424, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+21513,34, Local-gov,175856, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21514,40, Private,124692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21515,33, Private,118551, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21516,78, ?,292019, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+21517,31, Private,288566, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, >50K
+21518,61, Private,137733, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+21519,22, Private,39432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21520,29, Private,138537, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K
+21521,37, Private,709445, HS-grad,9, Separated, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K
+21522,35, Private,194809, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+21523,52, Self-emp-inc,89041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+21524,37, ?,299090, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21525,18, Private,159561, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+21526,37, Private,236328, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+21527,46, Private,269045, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+21528,25, ?,196627, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+21529,47, Federal-gov,323798, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21530,55, Private,463072, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+21531,32, Private,199655, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,1740,40, ?, <=50K
+21532,25, Self-emp-inc,98756, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K
+21533,50, State-gov,161075, HS-grad,9, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21534,18, Private,192485, 12th,8, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K
+21535,25, Private,201579, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+21536,23, Private,117606, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21537,51, ?,177487, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+21538,47, Self-emp-not-inc,237731, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,65, United-States, <=50K
+21539,37, Private,60313, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+21540,37, Private,270059, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,25236,0,25, United-States, >50K
+21541,27, Private,169958, 5th-6th,3, Never-married, Craft-repair, Own-child, White, Male,0,0,40, ?, <=50K
+21542,19, Private,240686, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+21543,52, Local-gov,124793, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21544,25, Self-emp-not-inc,113948, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K
+21545,17, ?,241021, 12th,8, Never-married, ?, Own-child, Other, Female,0,0,40, United-States, <=50K
+21546,21, Private,147655, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+21547,41, Self-emp-not-inc,38876, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+21548,55, Private,117299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+21549,20, ?,114813, 10th,6, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+21550,24, Private,136310, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+21551,41, Federal-gov,153132, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+21552,23, Private,197552, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+21553,33, Private,69748, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+21554,29, Private,175738, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+21555,50, State-gov,78649, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+21556,37, Self-emp-inc,188774, 11th,7, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,60, ?, <=50K
+21557,48, Private,155659, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+21558,19, Federal-gov,215891, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+21559,40, Private,144928, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21560,30, Private,33688, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,1669,70, United-States, <=50K
+21561,65, Private,262446, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+21562,44, Federal-gov,191295, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,48, United-States, <=50K
+21563,32, Private,279173, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+21564,41, Private,153031, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+21565,28, Private,202239, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+21566,44, Federal-gov,469454, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,48, United-States, >50K
+21567,39, Local-gov,164156, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K
+21568,59, Private,196482, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21569,31, Private,176185, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, France, >50K
+21570,34, Private,287315, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21571,20, Private,117210, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+21572,33, Private,41610, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+21573,52, Private,160703, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+21574,31, Private,80511, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,44, United-States, <=50K
+21575,39, Private,219155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K
+21576,35, Private,106347, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+21577,37, Self-emp-not-inc,68899, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2129,40, United-States, <=50K
+21578,44, Self-emp-not-inc,163985, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, >50K
+21579,28, Private,270887, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K
+21580,17, Private,205726, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+21581,23, Private,218899, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K
+21582,35, Private,186183, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,80, United-States, >50K
+21583,19, Private,248749, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+21584,30, Private,197558, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+21585,27, Private,176514, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21586,29, ?,116820, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+21587,27, Private,128730, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,65, Greece, >50K
+21588,37, Private,215503, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K
+21589,44, Private,226129, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+21590,34, Private,175856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K
+21591,43, Private,281138, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21592,41, Private,98061, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21593,34, Self-emp-not-inc,260560, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21594,23, Private,289909, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+21595,51, Private,59590, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+21596,24, Private,236769, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+21597,38, Self-emp-not-inc,423616, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,24, United-States, >50K
+21598,24, Private,291407, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+21599,53, Self-emp-inc,100029, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+21600,33, Private,204494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,56, United-States, >50K
+21601,24, Private,201680, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+21602,45, Private,154308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+21603,31, Private,150324, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21604,38, Local-gov,331609, Some-college,10, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,47, United-States, <=50K
+21605,28, Private,100829, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+21606,38, Private,203169, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+21607,25, Private,122075, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21608,29, Private,178778, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21609,29, Private,276345, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+21610,48, Private,233511, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+21611,24, Private,289448, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+21612,31, Private,173350, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21613,36, Private,130589, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+21614,62, Private,94318, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+21615,25, Private,297531, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+21616,55, Private,129762, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21617,21, Private,182614, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, Poland, <=50K
+21618,60, Private,120067, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+21619,41, Private,182370, Assoc-acdm,12, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+21620,43, State-gov,60949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21621,30, Private,190511, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+21622,47, Private,188195, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+21623,50, Private,89534, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21624,41, Self-emp-inc,125831, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K
+21625,23, Private,183358, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+21626,38, ?,75024, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21627,30, Private,251120, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, England, <=50K
+21628,35, Private,108946, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+21629,25, Private,93223, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+21630,61, Private,147393, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+21631,71, ?,45801, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K
+21632,35, State-gov,225385, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+21633,35, Federal-gov,23892, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+21634,38, Private,179668, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Scotland, <=50K
+21635,27, Self-emp-not-inc,404998, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+21636,51, Private,68882, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,35, Portugal, <=50K
+21637,55, Self-emp-not-inc,194065, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21638,45, Private,357540, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2002,55, United-States, <=50K
+21639,33, Private,185336, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+21640,25, State-gov,152503, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21641,52, Private,167794, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+21642,46, Private,96552, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,17, United-States, <=50K
+21643,34, Private,169527, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4386,0,20, United-States, <=50K
+21644,52, State-gov,254285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+21645,47, Private,32509, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+21646,46, Private,125492, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21647,36, Self-emp-inc,186035, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+21648,69, ?,168794, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K
+21649,34, Private,191856, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,40, United-States, >50K
+21650,36, Private,215503, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K
+21651,31, Private,187560, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K
+21652,31, Self-emp-not-inc,252752, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,2415,40, United-States, >50K
+21653,38, Local-gov,210991, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+21654,57, Local-gov,190748, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K
+21655,24, Private,117767, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+21656,37, Private,301070, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K
+21657,69, Self-emp-not-inc,204645, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,9386,0,72, United-States, >50K
+21658,39, Private,186183, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+21659,38, Private,131808, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+21660,34, State-gov,156292, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21661,21, Private,124589, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+21662,21, Private,262819, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+21663,61, Private,95500, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+21664,35, Private,241306, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+21665,29, Private,238680, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,55, Outlying-US(Guam-USVI-etc), <=50K
+21666,18, ?,42293, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+21667,41, Local-gov,168071, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K
+21668,42, Private,337629, 12th,8, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, ?, >50K
+21669,52, Private,168001, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+21670,38, Private,97759, 12th,8, Never-married, Other-service, Unmarried, White, Female,0,0,17, United-States, <=50K
+21671,51, Self-emp-not-inc,107096, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+21672,55, Private,76860, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+21673,20, Private,70076, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+21674,23, Private,312017, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21675,24, Private,174138, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21676,48, Private,125892, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K
+21677,22, Private,210474, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21678,22, State-gov,157332, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+21679,28, Private,30771, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21680,28, Private,319768, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, France, >50K
+21681,34, Private,209101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,55, United-States, >50K
+21682,25, Private,324609, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21683,48, Private,268234, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21684,32, Local-gov,178109, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,43, United-States, <=50K
+21685,31, Private,25955, 9th,5, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K
+21686,65, ?,123484, HS-grad,9, Widowed, ?, Other-relative, White, Female,0,0,25, United-States, <=50K
+21687,56, Local-gov,129762, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+21688,22, Self-emp-not-inc,108506, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0,0,75, United-States, <=50K
+21689,27, Private,241607, Bachelors,13, Never-married, Tech-support, Other-relative, White, Male,0,0,50, United-States, <=50K
+21690,27, Federal-gov,214385, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21691,30, Local-gov,183000, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+21692,33, Private,290763, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21693,50, Private,171924, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K
+21694,19, Private,97189, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K
+21695,42, Private,195096, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+21696,37, Federal-gov,329088, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+21697,26, Private,58371, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+21698,32, ?,256371, 12th,8, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+21699,43, Private,35824, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+21700,47, Private,173271, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21701,26, Private,391349, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+21702,24, Private,86153, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21703,34, Private,295855, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K
+21704,33, Self-emp-not-inc,327902, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+21705,35, Private,285102, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Taiwan, >50K
+21706,57, Private,178353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+21707,45, Private,28119, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,7, United-States, <=50K
+21708,42, Private,197522, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21709,25, Private,108542, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,35, United-States, <=50K
+21710,56, Private,179781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21711,25, Private,126974, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+21712,23, Private,180060, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K
+21713,35, Local-gov,38948, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+21714,28, Private,271572, 9th,5, Never-married, Other-service, Other-relative, White, Male,0,0,52, United-States, <=50K
+21715,41, Private,177305, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+21716,26, Private,238367, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21717,37, Private,172232, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+21718,22, Private,153805, HS-grad,9, Never-married, Other-service, Unmarried, Other, Male,0,0,20, Puerto-Rico, <=50K
+21719,30, Private,26543, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21720,42, Private,109067, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21721,38, Private,213716, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21722,49, Private,149809, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+21723,27, Private,185670, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+21724,43, Federal-gov,233851, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+21725,68, ?,192052, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,2457,40, United-States, <=50K
+21726,41, Private,193524, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K
+21727,25, Private,213385, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21728,23, Private,38238, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+21729,68, Private,104438, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Ireland, >50K
+21730,17, Private,202344, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+21731,45, Self-emp-not-inc,43434, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21732,45, Private,102147, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+21733,30, Private,231826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+21734,49, State-gov,247378, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+21735,42, Private,78765, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K
+21736,29, Private,184078, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+21737,21, Local-gov,102942, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,2001,40, United-States, <=50K
+21738,20, Private,258430, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K
+21739,59, Private,244554, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+21740,26, Private,252565, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+21741,25, Private,262778, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K
+21742,33, Private,162572, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K
+21743,35, Private,65706, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+21744,45, Federal-gov,102569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21745,66, Private,350498, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,28, United-States, <=50K
+21746,67, ?,159542, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21747,33, Private,142383, Assoc-acdm,12, Never-married, Sales, Not-in-family, Other, Male,0,0,36, United-States, <=50K
+21748,38, Private,229236, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K
+21749,72, Private,56559, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K
+21750,21, Private,27049, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+21751,39, Private,36376, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+21752,41, Private,194360, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+21753,22, Private,246965, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,12, United-States, <=50K
+21754,49, Self-emp-inc,191277, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+21755,24, Private,268525, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K
+21756,25, Private,456604, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21757,26, Private,223464, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+21758,50, Private,341797, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21759,23, Private,174461, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21760,41, Private,392167, 10th,6, Divorced, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+21761,60, Private,210064, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21762,67, ?,233182, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K
+21763,77, Local-gov,177550, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818,0,14, United-States, <=50K
+21764,62, Private,143312, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K
+21765,22, Private,326334, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+21766,37, Private,179088, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21767,17, Private,207637, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+21768,52, Federal-gov,37289, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K
+21769,31, Private,36069, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+21770,23, Federal-gov,53245, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21771,27, Self-emp-inc,399904, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, Mexico, <=50K
+21772,38, Self-emp-inc,199346, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K
+21773,23, Private,343019, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21774,22, State-gov,232742, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21775,61, Self-emp-not-inc,390472, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+21776,55, Private,290124, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+21777,23, Private,242912, Some-college,10, Never-married, Other-service, Own-child, White, Female,4650,0,40, United-States, <=50K
+21778,39, Private,70240, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+21779,38, Local-gov,286405, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+21780,25, Private,153841, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+21781,25, Private,137367, Bachelors,13, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,44, Philippines, <=50K
+21782,66, Private,313255, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K
+21783,30, Private,100734, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+21784,32, Private,248584, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+21785,43, Private,60001, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+21786,18, Private,335065, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,30, Mexico, <=50K
+21787,20, Private,219262, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+21788,20, Private,186830, HS-grad,9, Never-married, Transport-moving, Other-relative, Black, Male,0,0,45, United-States, <=50K
+21789,34, Private,226385, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21790,33, Private,609789, Assoc-acdm,12, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+21791,40, Private,307767, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+21792,33, Private,217460, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+21793,30, Private,104052, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1741,42, United-States, <=50K
+21794,41, Local-gov,160893, Preschool,1, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K
+21795,20, Private,68358, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+21796,40, Self-emp-not-inc,243636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+21797,44, Self-emp-not-inc,71269, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21798,50, Private,71898, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K
+21799,38, ?,212048, Prof-school,15, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21800,30, Local-gov,115040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K
+21801,45, Private,111994, Some-college,10, Divorced, Sales, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+21802,25, Private,210794, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+21803,22, ?,88126, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+21804,25, Private,570821, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21805,63, ?,146196, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+21806,55, State-gov,169482, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+21807,26, Private,63577, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21808,22, Private,208946, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21809,41, Self-emp-not-inc,26598, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21810,21, Private,189203, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21811,39, Private,183892, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+21812,82, ?,194590, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K
+21813,18, Private,188616, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+21814,60, Private,116707, 11th,7, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21815,22, Private,99199, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+21816,39, Local-gov,183620, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, >50K
+21817,34, Private,110476, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+21818,50, Local-gov,157043, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Female,2202,0,30, ?, <=50K
+21819,53, Private,150726, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21820,27, Private,214695, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,60, United-States, <=50K
+21821,37, Private,172694, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,50, United-States, <=50K
+21822,25, Private,344804, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Mexico, <=50K
+21823,33, Private,319422, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, Peru, <=50K
+21824,34, State-gov,327902, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+21825,35, Private,438176, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K
+21826,51, Private,197656, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+21827,33, Private,219838, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+21828,57, Self-emp-not-inc,35561, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+21829,25, ?,156848, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+21830,56, Private,190257, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+21831,34, Private,156464, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,85, England, >50K
+21832,36, Private,65624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21833,46, Private,201699, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21834,55, Private,349910, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K
+21835,88, Self-emp-not-inc,187097, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+21836,60, Self-emp-not-inc,264314, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, Columbia, <=50K
+21837,40, Self-emp-not-inc,282678, Masters,14, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K
+21838,21, Private,188923, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,55, United-States, <=50K
+21839,46, Private,114797, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,36, United-States, <=50K
+21840,56, Private,245215, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+21841,36, Self-emp-not-inc,36270, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+21842,67, Self-emp-not-inc,107138, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+21843,35, Private,77820, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+21844,20, Private,39477, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21845,34, Private,58305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1573,40, United-States, <=50K
+21846,23, Private,359759, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+21847,19, ?,249147, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+21848,19, Private,44797, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,15, United-States, <=50K
+21849,25, Private,164488, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+21850,53, Private,48413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21851,18, ?,261276, Some-college,10, Never-married, ?, Own-child, Black, Female,0,1602,40, Cambodia, <=50K
+21852,31, Self-emp-not-inc,36592, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,91, United-States, <=50K
+21853,33, Private,280923, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+21854,33, Federal-gov,29617, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21855,45, Self-emp-inc,208802, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,36, United-States, >50K
+21856,35, Private,189240, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+21857,20, ?,37932, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21858,36, Private,181705, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+21859,36, Private,147548, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,85, United-States, <=50K
+21860,51, Self-emp-not-inc,306784, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+21861,45, ?,260953, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+21862,45, State-gov,190406, Prof-school,15, Divorced, Prof-specialty, Unmarried, Black, Male,25236,0,36, United-States, >50K
+21863,24, Private,230229, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K
+21864,28, Private,46987, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,2174,0,36, United-States, <=50K
+21865,63, Private,301108, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,22, United-States, <=50K
+21866,35, Private,263081, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K
+21867,25, Self-emp-not-inc,37741, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+21868,36, Private,115834, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,55, United-States, >50K
+21869,44, Private,150076, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+21870,49, Self-emp-not-inc,148254, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,28, United-States, <=50K
+21871,52, Private,183611, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+21872,27, Private,258768, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21873,35, Private,287658, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K
+21874,51, Private,95946, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+21875,49, Private,31267, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21876,35, Local-gov,302149, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K
+21877,28, Private,250135, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21878,37, Private,176073, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21879,65, Private,23580, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21880,24, Private,163665, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+21881,30, Federal-gov,43953, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21882,38, Private,144860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+21883,58, Self-emp-not-inc,61474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+21884,57, Private,141570, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K
+21885,40, Private,225660, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+21886,42, Private,336891, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+21887,31, Self-emp-not-inc,210164, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21888,17, Private,171080, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+21889,42, Private,143342, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21890,25, Private,281627, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21891,40, Private,409922, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+21892,65, ?,224472, Prof-school,15, Never-married, ?, Not-in-family, White, Male,25124,0,80, United-States, >50K
+21893,29, Private,157262, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+21894,31, Private,144949, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+21895,71, Local-gov,303860, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Male,2050,0,20, United-States, <=50K
+21896,34, Private,104293, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+21897,25, Private,195481, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+21898,40, Private,193995, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+21899,67, Private,105216, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+21900,40, Private,147206, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+21901,18, Private,173585, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,18, United-States, <=50K
+21902,38, Private,187870, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K
+21903,38, Private,248919, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K
+21904,42, Private,280410, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Haiti, <=50K
+21905,36, State-gov,170861, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+21906,23, Self-emp-not-inc,409230, 1st-4th,2, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+21907,56, Private,340171, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+21908,36, Private,41017, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K
+21909,22, Private,416356, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+21910,39, Private,261504, 12th,8, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+21911,36, State-gov,205555, Prof-school,15, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+21912,44, Private,245317, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K
+21913,38, Private,153685, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,52, United-States, <=50K
+21914,19, ?,169758, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+21915,37, Private,99374, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+21916,57, Local-gov,139452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K
+21917,54, Private,227832, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21918,18, Self-emp-not-inc,213024, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K
+21919,22, ?,24008, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,72, United-States, <=50K
+21920,63, Self-emp-not-inc,33487, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+21921,38, Self-emp-inc,187934, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, Poland, <=50K
+21922,26, Private,421561, 11th,7, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K
+21923,40, Private,109969, 11th,7, Divorced, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K
+21924,20, Private,116830, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21925,39, Private,117166, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2635,0,40, United-States, <=50K
+21926,28, Private,106951, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, United-States, <=50K
+21927,30, Private,89625, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,5, United-States, >50K
+21928,42, Private,194537, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+21929,42, Private,144002, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+21930,21, Private,202214, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21931,40, Private,109762, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+21932,36, Private,292570, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+21933,67, Private,105252, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,7978,0,35, United-States, <=50K
+21934,65, Private,94552, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21935,50, Local-gov,46401, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+21936,18, Private,151150, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,27, United-States, <=50K
+21937,31, Private,197689, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+21938,36, Self-emp-inc,180477, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21939,20, Private,181761, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+21940,34, Private,381153, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+21941,24, Private,165474, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,39, United-States, <=50K
+21942,38, Federal-gov,190174, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+21943,17, Private,295991, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+21944,52, Without-pay,198262, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K
+21945,34, Private,190385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+21946,30, ?,411560, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+21947,49, Private,262116, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K
+21948,45, Private,178922, 9th,5, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+21949,46, Private,192963, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,2415,35, Philippines, >50K
+21950,34, Self-emp-inc,209538, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+21951,21, Self-emp-not-inc,103277, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,4508,0,30, Portugal, <=50K
+21952,17, Private,216086, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+21953,23, Private,636017, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+21954,32, Private,155781, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+21955,22, Private,136873, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21956,48, State-gov,122066, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K
+21957,27, State-gov,346406, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K
+21958,43, Private,117915, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21959,44, Private,19914, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K
+21960,55, Private,255364, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+21961,31, Private,703107, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+21962,34, Private,62374, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K
+21963,34, Private,96245, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21964,37, Private,348796, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+21965,21, Private,136873, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+21966,35, Private,388252, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+21967,28, Private,47783, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+21968,62, Private,194167, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,2174,0,40, United-States, <=50K
+21969,40, Federal-gov,544792, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+21970,34, Private,434463, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,39, United-States, <=50K
+21971,32, Private,317219, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1590,40, United-States, <=50K
+21972,70, Private,221603, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K
+21973,23, Private,233711, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+21974,30, Private,111567, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K
+21975,57, Private,79830, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+21976,34, Self-emp-not-inc,192259, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+21977,24, Private,239663, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+21978,41, Local-gov,34987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+21979,38, Self-emp-not-inc,409189, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K
+21980,48, Private,135525, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21981,43, Private,152159, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+21982,18, Private,141363, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+21983,35, Private,214816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+21984,42, Private,42907, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K
+21985,30, Private,161815, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+21986,42, Private,127314, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+21987,48, Private,395368, Some-college,10, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+21988,70, Private,184176, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+21989,37, Private,112660, 9th,5, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+21990,51, Private,183709, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+21991,35, Private,434114, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+21992,59, Self-emp-not-inc,165315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,43, United-States, >50K
+21993,57, Private,190997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+21994,26, Private,335533, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+21995,26, Private,176146, 5th-6th,3, Separated, Craft-repair, Not-in-family, Other, Male,0,0,35, Mexico, <=50K
+21996,19, Private,272063, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+21997,34, Private,169564, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+21998,56, Private,188856, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,55, United-States, >50K
+21999,25, Private,69847, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+22000,46, Self-emp-not-inc,198759, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,80, United-States, >50K
+22001,22, Private,175431, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+22002,32, Private,228357, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, ?, <=50K
+22003,72, Self-emp-not-inc,284120, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+22004,36, Private,109133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22005,28, Private,167336, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+22006,76, ?,42209, 9th,5, Widowed, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K
+22007,37, Private,282951, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+22008,42, Private,303155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+22009,44, Private,261899, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K
+22010,33, Private,168030, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,21, United-States, >50K
+22011,53, State-gov,71417, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+22012,28, Private,239130, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22013,69, Private,200560, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K
+22014,20, Private,157541, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,27, United-States, <=50K
+22015,33, Private,255004, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22016,47, Private,230136, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, >50K
+22017,50, Local-gov,124963, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,35, United-States, >50K
+22018,22, Private,39615, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+22019,20, Private,47678, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+22020,42, Local-gov,281315, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22021,23, Private,176123, HS-grad,9, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+22022,24, ?,165350, HS-grad,9, Separated, ?, Not-in-family, Black, Male,0,0,50, Germany, <=50K
+22023,32, Private,235862, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+22024,41, Private,142579, Bachelors,13, Widowed, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K
+22025,35, Private,38294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22026,40, Private,111483, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+22027,25, Private,189850, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+22028,34, State-gov,145874, Doctorate,16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K
+22029,23, Private,139012, Assoc-voc,11, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+22030,30, Local-gov,211654, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22031,55, Local-gov,173090, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+22032,26, Private,104834, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K
+22033,42, ?,195124, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, Dominican-Republic, <=50K
+22034,39, Private,32146, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+22035,52, Private,282674, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+22036,42, Private,190403, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, Canada, <=50K
+22037,25, Private,247025, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,48, United-States, <=50K
+22038,27, Private,198258, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+22039,30, Self-emp-not-inc,172748, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+22040,23, State-gov,287988, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K
+22041,47, Self-emp-not-inc,122307, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+22042,58, ?,175017, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K
+22043,18, Private,170183, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+22044,52, Private,150812, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+22045,24, Private,241185, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+22046,58, Self-emp-inc,174864, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+22047,35, Private,30529, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22048,31, Private,301637, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+22049,46, Private,423222, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,60, United-States, >50K
+22050,43, Private,214781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K
+22051,21, Private,242912, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K
+22052,52, Private,191529, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,60, United-States, <=50K
+22053,24, Private,117363, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+22054,22, Private,333158, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K
+22055,39, Private,193260, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,25, Mexico, <=50K
+22056,34, State-gov,278378, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+22057,58, Private,111394, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22058,26, Private,102476, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+22059,29, Private,26451, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+22060,67, ?,209137, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+22061,28, Private,210945, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, Haiti, <=50K
+22062,62, Local-gov,115023, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22063,54, Private,53833, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+22064,36, Private,150057, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K
+22065,18, Private,128086, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K
+22066,25, Private,28473, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22067,48, Private,155509, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22068,56, Private,165315, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, ?, <=50K
+22069,30, Private,171889, Prof-school,15, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K
+22070,41, Local-gov,185057, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+22071,59, Private,277034, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,60, United-States, >50K
+22072,36, Private,166606, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22073,30, Private,97453, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K
+22074,27, Private,136094, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+22075,19, ?,61855, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K
+22076,30, Private,182771, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,15, China, <=50K
+22077,47, Private,418961, Assoc-voc,11, Divorced, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K
+22078,39, Private,106961, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+22079,31, Private,81846, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+22080,44, Private,105936, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22081,37, Private,36425, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22082,28, Private,595088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,63, United-States, <=50K
+22083,38, Private,149018, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22084,26, Private,229613, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22085,44, Private,33521, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22086,40, Private,70539, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, <=50K
+22087,53, State-gov,105728, HS-grad,9, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,28, United-States, >50K
+22088,31, Private,193215, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K
+22089,18, Private,137363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+22090,43, Self-emp-inc,104892, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+22091,30, Private,149427, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+22092,19, State-gov,176634, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+22093,36, Private,183279, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22094,19, ?,225775, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+22095,25, Private,202091, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K
+22096,36, Private,123151, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+22097,22, Private,168187, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+22098,42, Federal-gov,33521, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+22099,33, State-gov,243678, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22100,38, Private,164898, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22101,21, ?,262280, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3781,0,40, United-States, <=50K
+22102,33, State-gov,290614, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22103,52, Self-emp-not-inc,199265, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+22104,30, Private,207668, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+22105,18, State-gov,30687, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K
+22106,24, State-gov,27939, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,24, ?, <=50K
+22107,17, Private,438996, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K
+22108,48, Private,152915, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22109,66, ?,186030, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K
+22110,46, Local-gov,297759, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22111,55, Private,171242, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K
+22112,28, Private,206088, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22113,33, Private,182792, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+22114,44, Private,167725, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K
+22115,43, Private,160674, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+22116,42, Private,194710, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22117,39, Private,255027, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22118,23, Private,204641, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K
+22119,20, State-gov,177787, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+22120,29, Private,54932, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, >50K
+22121,54, Self-emp-not-inc,91506, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+22122,34, Private,198634, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22123,30, Private,227146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+22124,59, Private,135647, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+22125,40, Private,55508, 7th-8th,4, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K
+22126,37, Private,174912, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+22127,45, Private,175925, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22128,55, Self-emp-not-inc,157486, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+22129,49, Local-gov,329144, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K
+22130,67, ?,81761, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K
+22131,49, Self-emp-not-inc,102318, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K
+22132,30, Federal-gov,266463, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+22133,56, Federal-gov,107314, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22134,29, Private,114158, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22135,33, Private,124052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22136,25, Private,144301, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K
+22137,28, Private,176683, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,70, United-States, >50K
+22138,23, Private,234663, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22139,39, Self-emp-not-inc,178948, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K
+22140,37, Self-emp-not-inc,607848, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+22141,39, Private,202937, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+22142,32, Federal-gov,83413, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K
+22143,26, Private,212798, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+22144,57, Federal-gov,192258, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+22145,36, Private,112497, 9th,5, Married-civ-spouse, Sales, Own-child, White, Male,0,0,50, United-States, >50K
+22146,30, Private,97521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+22147,27, Private,160972, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22148,21, Private,322931, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+22149,22, Private,403519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22150,43, Local-gov,330174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22151,20, Private,278155, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+22152,30, Private,39054, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+22153,57, Private,170287, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+22154,42, Private,336643, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+22155,29, Private,264166, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,45, Columbia, <=50K
+22156,44, Local-gov,433705, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K
+22157,28, Private,27044, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K
+22158,42, Private,165599, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+22159,26, Private,159759, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+22160,29, Private,385092, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K
+22161,42, Private,188808, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,0,30, United-States, <=50K
+22162,30, Private,167476, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+22163,21, State-gov,194096, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+22164,59, Private,182460, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K
+22165,21, ?,102323, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+22166,56, Private,232139, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22167,39, Private,341741, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K
+22168,21, Private,206008, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,50, United-States, <=50K
+22169,48, Private,344415, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, >50K
+22170,35, State-gov,372130, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+22171,43, Private,27766, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K
+22172,23, Private,140764, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+22173,17, ?,161259, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,12, United-States, <=50K
+22174,41, Private,22201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K
+22175,35, Self-emp-inc,187046, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+22176,22, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+22177,53, Private,274276, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22178,42, Private,341757, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22179,36, Private,218542, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22180,44, Local-gov,190020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+22181,27, Private,221436, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Cuba, >50K
+22182,39, Self-emp-not-inc,52187, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+22183,59, Private,158776, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22184,34, Local-gov,51543, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+22185,17, Private,146329, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K
+22186,31, Private,397467, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22187,59, Private,105592, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K
+22188,39, Private,78171, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+22189,46, State-gov,55377, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+22190,31, Private,258932, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,80, Italy, <=50K
+22191,27, Private,38606, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,45, United-States, <=50K
+22192,18, Private,219841, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+22193,46, Private,156926, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+22194,55, Private,160362, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+22195,48, Private,192161, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K
+22196,53, Private,208570, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,26, United-States, <=50K
+22197,44, Self-emp-not-inc,182771, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,48, South, >50K
+22198,43, Private,151089, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+22199,50, Private,163002, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+22200,56, Private,155657, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,20, Yugoslavia, <=50K
+22201,27, Private,217530, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+22202,20, Private,244406, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+22203,18, Local-gov,152182, 10th,6, Never-married, Protective-serv, Own-child, White, Female,0,0,6, United-States, <=50K
+22204,34, Private,55717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K
+22205,38, Private,201454, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22206,40, Self-emp-inc,144371, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K
+22207,55, Private,277034, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22208,35, Self-emp-not-inc,462832, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, >50K
+22209,26, Private,200681, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+22210,54, State-gov,119565, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, >50K
+22211,22, Private,192017, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+22212,52, Local-gov,84808, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22213,33, Private,100154, 10th,6, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22214,42, Private,169383, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22215,19, Without-pay,43887, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K
+22216,45, Private,54260, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,99, United-States, <=50K
+22217,53, Self-emp-not-inc,159876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103,0,72, United-States, <=50K
+22218,46, Private,160474, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1590,43, United-States, <=50K
+22219,25, Private,476334, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22220,90, Private,52386, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+22221,33, Private,83671, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+22222,45, Private,172960, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K
+22223,47, Private,191957, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+22224,38, Local-gov,40955, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K
+22225,35, ?,98080, Prof-school,15, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,4787,0,45, Japan, >50K
+22226,37, Private,175643, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+22227,53, State-gov,197184, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+22228,56, Private,187295, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22229,18, Private,40822, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+22230,44, Private,228729, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, ?, <=50K
+22231,50, Private,240496, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K
+22232,26, Private,51961, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+22233,36, Private,174887, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22234,37, Private,95855, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22235,32, Private,362259, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22236,38, Self-emp-not-inc,30916, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+22237,62, Private,153148, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,84, United-States, <=50K
+22238,46, Private,167915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22239,41, Private,45156, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,41, United-States, <=50K
+22240,37, Private,98776, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K
+22241,27, Private,209801, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, ?, <=50K
+22242,38, Private,183800, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+22243,35, Private,54595, 12th,8, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22244,34, Private,79637, Bachelors,13, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+22245,50, Private,126566, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+22246,28, Private,233796, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,32, United-States, >50K
+22247,67, Local-gov,191800, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,6360,0,35, United-States, <=50K
+22248,34, Self-emp-not-inc,527162, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+22249,19, Private,139466, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+22250,23, Private,64520, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+22251,50, Private,97741, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+22252,45, Local-gov,160173, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+22253,17, Private,350995, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+22254,59, ?,182836, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K
+22255,25, Private,143267, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K
+22256,21, Private,346341, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22257,50, Private,172175, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+22258,17, Private,153035, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+22259,63, Private,200127, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22260,31, Local-gov,204470, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K
+22261,45, Private,353012, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22262,25, Private,194342, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+22263,20, Private,57898, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+22264,31, Private,164707, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, ?, <=50K
+22265,42, Private,269028, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, France, <=50K
+22266,56, Private,83922, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22267,47, Private,160647, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Female,0,0,46, United-States, <=50K
+22268,69, Private,125437, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+22269,42, Private,246011, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K
+22270,19, Private,216937, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Other, Female,0,0,60, Guatemala, <=50K
+22271,56, Self-emp-not-inc,66356, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+22272,33, Private,154981, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, United-States, >50K
+22273,61, Federal-gov,197311, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+22274,38, Private,301743, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+22275,50, Self-emp-not-inc,401118, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,50, United-States, >50K
+22276,39, Private,98776, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+22277,35, Self-emp-not-inc,32528, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+22278,27, Private,177119, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K
+22279,40, Self-emp-inc,193524, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+22280,59, State-gov,192258, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22281,20, ?,145917, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+22282,42, Federal-gov,214838, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, >50K
+22283,59, Private,176011, Some-college,10, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+22284,54, Self-emp-inc,147239, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+22285,38, Private,159179, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+22286,53, Private,155963, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+22287,20, Private,360457, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K
+22288,54, Federal-gov,114674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22289,41, Self-emp-not-inc,95708, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, >50K
+22290,33, Local-gov,100734, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,55, United-States, <=50K
+22291,35, Private,188972, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K
+22292,22, Private,162667, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, Portugal, <=50K
+22293,45, Self-emp-not-inc,28497, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1485,70, United-States, >50K
+22294,29, Private,180758, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22295,56, Self-emp-not-inc,346635, Masters,14, Divorced, Sales, Unmarried, White, Female,0,2339,60, United-States, <=50K
+22296,23, Private,46645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K
+22297,30, Private,203258, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+22298,17, Private,134480, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,25, United-States, <=50K
+22299,35, Local-gov,85548, Some-college,10, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+22300,25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K
+22301,42, State-gov,148316, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+22302,42, Private,227466, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K
+22303,19, Private,68552, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+22304,32, Private,252257, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+22305,44, Private,30126, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22306,53, Private,304353, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, >50K
+22307,47, Self-emp-not-inc,171968, Bachelors,13, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,60, Thailand, <=50K
+22308,24, Private,205839, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+22309,30, State-gov,218640, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K
+22310,42, Private,150568, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+22311,19, Private,382738, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+22312,37, Self-emp-not-inc,138940, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,37, United-States, <=50K
+22313,26, Self-emp-not-inc,258306, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K
+22314,25, Local-gov,190107, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,1719,16, United-States, <=50K
+22315,52, Private,152373, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+22316,50, Local-gov,141875, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22317,40, Private,79586, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, ?, >50K
+22318,32, Private,157289, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+22319,37, Private,184498, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22320,42, Local-gov,109684, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1741,35, United-States, <=50K
+22321,47, Private,199832, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22322,47, Private,23545, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+22323,28, Private,175710, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+22324,27, Private,52028, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+22325,61, Self-emp-not-inc,315977, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+22326,47, Private,202322, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+22327,30, Private,251825, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22328,54, Private,202115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K
+22329,56, Local-gov,216824, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+22330,69, Private,145656, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K
+22331,30, Private,137076, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+22332,36, Private,152621, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K
+22333,42, Self-emp-not-inc,27242, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+22334,45, Federal-gov,358242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+22335,39, Private,184117, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,20, United-States, >50K
+22336,26, Private,300290, 11th,7, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+22337,28, Local-gov,149991, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,42, United-States, >50K
+22338,31, Private,189759, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+22339,32, Private,339482, 5th-6th,3, Separated, Farming-fishing, Other-relative, White, Male,0,0,60, Mexico, <=50K
+22340,51, Private,100933, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K
+22341,29, Private,354558, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+22342,38, Local-gov,162613, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,2258,60, United-States, <=50K
+22343,64, Private,285052, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,10, United-States, <=50K
+22344,26, State-gov,175044, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+22345,68, Private,45508, 5th-6th,3, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,22, United-States, <=50K
+22346,32, Private,173351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+22347,29, Private,173611, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+22348,51, ?,182543, 1st-4th,2, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K
+22349,21, Private,143062, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+22350,26, ?,137951, 10th,6, Separated, ?, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K
+22351,33, Local-gov,293063, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Male,0,0,40, ?, <=50K
+22352,26, Private,377754, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22353,52, Private,152373, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K
+22354,31, Private,193477, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+22355,29, Local-gov,277323, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,45, United-States, <=50K
+22356,19, Private,69182, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K
+22357,51, Private,219599, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+22358,45, Private,129371, 9th,5, Separated, Other-service, Unmarried, Other, Female,0,0,40, Trinadad&Tobago, <=50K
+22359,20, Private,470875, HS-grad,9, Married-civ-spouse, Sales, Own-child, Black, Male,0,0,32, United-States, <=50K
+22360,40, Private,201734, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K
+22361,43, Private,58447, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K
+22362,52, Local-gov,91689, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22363,46, Private,166546, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K
+22364,24, Private,293324, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22365,20, Private,219262, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22366,38, Self-emp-not-inc,403391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+22367,44, Private,367749, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K
+22368,24, Private,128487, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22369,32, State-gov,111363, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K
+22370,49, Private,240869, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K
+22371,36, Private,163278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22372,31, Private,416415, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+22373,46, ?,280030, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K
+22374,46, Private,251243, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22375,46, Local-gov,167159, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, >50K
+22376,29, Private,161857, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Other, Female,0,0,40, Columbia, <=50K
+22377,37, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22378,44, ?,190205, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+22379,28, ?,161290, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+22380,28, Self-emp-not-inc,112403, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+22381,48, Private,238726, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22382,52, Private,164530, 11th,7, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+22383,19, Private,456572, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, United-States, <=50K
+22384,31, Self-emp-not-inc,177675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22385,47, Private,246739, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K
+22386,37, Private,102953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22387,22, ?,224238, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,2, United-States, <=50K
+22388,46, Private,155489, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+22389,51, Self-emp-not-inc,156802, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,60, United-States, >50K
+22390,50, Private,168212, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,45, United-States, >50K
+22391,38, Private,331395, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942,0,84, Portugal, <=50K
+22392,40, Local-gov,261497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K
+22393,58, Private,365511, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, Mexico, <=50K
+22394,36, Private,187999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22395,26, Local-gov,190350, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K
+22396,17, ?,166759, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+22397,49, Private,168262, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+22398,39, State-gov,122011, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,38, United-States, >50K
+22399,46, Private,165953, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+22400,26, Private,375980, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,37, United-States, <=50K
+22401,40, Federal-gov,406463, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22402,53, State-gov,231472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22403,60, Self-emp-not-inc,78913, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+22404,28, Private,69107, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+22405,22, ?,182387, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,12, Thailand, <=50K
+22406,31, Private,169002, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K
+22407,45, Private,229967, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,13550,0,50, United-States, >50K
+22408,34, Private,422836, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, Mexico, <=50K
+22409,27, State-gov,230922, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Scotland, <=50K
+22410,40, Private,195892, Some-college,10, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22411,68, Private,163346, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K
+22412,51, Private,82566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22413,55, Private,86505, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K
+22414,43, Private,178780, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+22415,23, State-gov,173945, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,27, United-States, <=50K
+22416,48, Private,176810, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22417,42, Self-emp-inc,23813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,2885,0,30, United-States, <=50K
+22418,51, Self-emp-inc,210736, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,40, United-States, >50K
+22419,32, Private,343789, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,55, United-States, <=50K
+22420,34, Private,113838, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+22421,31, Local-gov,121055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K
+22422,71, ?,52171, 7th-8th,4, Divorced, ?, Unmarried, White, Male,0,0,45, United-States, <=50K
+22423,17, Private,566049, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K
+22424,37, Private,67433, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+22425,26, Private,39014, 12th,8, Married-civ-spouse, Priv-house-serv, Wife, Other, Female,0,0,40, Dominican-Republic, <=50K
+22426,17, Private,51939, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+22427,34, Private,100669, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+22428,46, Private,155659, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+22429,33, Private,112847, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+22430,41, Local-gov,32185, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22431,59, Private,138370, 10th,6, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+22432,50, Self-emp-not-inc,172281, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+22433,46, Private,180505, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+22434,45, Private,168262, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22435,27, Private,85126, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22436,31, Private,113838, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+22437,32, Private,197457, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,1471,0,38, United-States, <=50K
+22438,28, Private,197905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22439,32, Private,316589, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22440,36, Private,336367, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K
+22441,39, Self-emp-inc,143123, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2415,40, United-States, >50K
+22442,23, Private,209955, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22443,44, Private,210013, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+22444,37, Private,224541, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22445,36, Private,275653, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2977,0,40, Puerto-Rico, <=50K
+22446,45, Private,88061, 11th,7, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+22447,43, Federal-gov,195897, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,40, United-States, >50K
+22448,49, Private,43206, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, >50K
+22449,37, Private,202950, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+22450,26, Private,154093, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+22451,34, Private,112115, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, United-States, >50K
+22452,51, Private,355954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+22453,24, Private,379418, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22454,67, Self-emp-not-inc,286372, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22455,40, Private,48087, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K
+22456,32, Private,387270, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+22457,21, Private,270043, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+22458,39, Self-emp-not-inc,65738, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, >50K
+22459,33, Private,159888, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22460,48, Private,278039, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+22461,21, Private,265434, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K
+22462,68, Self-emp-inc,52052, Assoc-voc,11, Widowed, Sales, Not-in-family, White, Female,25124,0,50, United-States, >50K
+22463,24, Private,208882, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+22464,24, Private,229393, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,2463,0,40, United-States, <=50K
+22465,23, Private,53513, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K
+22466,40, Private,225193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,63, United-States, <=50K
+22467,48, Private,166809, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+22468,42, Self-emp-not-inc,175674, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+22469,45, Federal-gov,368947, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22470,31, Private,194901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+22471,53, Private,203173, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+22472,25, Private,267431, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,55, United-States, <=50K
+22473,32, Private,111836, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K
+22474,34, Private,198613, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, ?, <=50K
+22475,41, Self-emp-inc,149102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+22476,57, Local-gov,121111, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22477,25, Private,130397, 10th,6, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+22478,40, Private,212847, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,40, United-States, <=50K
+22479,17, Private,184198, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K
+22480,17, Private,121287, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+22481,82, Self-emp-inc,120408, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+22482,40, Private,164678, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+22483,26, Private,388812, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+22484,37, Private,294919, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22485,25, Private,101684, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22486,65, Private,36209, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,22, United-States, >50K
+22487,39, Private,123983, Bachelors,13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+22488,36, Self-emp-not-inc,340001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22489,37, Self-emp-not-inc,203828, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+22490,23, Private,183789, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+22491,34, Private,305619, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22492,63, Self-emp-not-inc,174181, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+22493,59, Private,131869, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+22494,49, Self-emp-not-inc,43479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22495,62, ?,203126, 9th,5, Never-married, ?, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K
+22496,17, Private,118792, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,9, United-States, <=50K
+22497,28, Private,272913, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, Mexico, <=50K
+22498,45, Federal-gov,222011, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+22499,40, Self-emp-inc,301007, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+22500,45, Private,197731, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22501,20, Private,173736, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+22502,19, ?,182590, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K
+22503,59, Local-gov,93211, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,22, United-States, >50K
+22504,41, Private,24763, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,7443,0,40, United-States, <=50K
+22505,49, Local-gov,219021, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,48, United-States, >50K
+22506,37, Private,137229, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K
+22507,31, Self-emp-not-inc,281030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+22508,21, Private,234108, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+22509,27, Private,46868, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,15, United-States, <=50K
+22510,20, ?,162667, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+22511,51, Private,173291, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22512,46, Private,305160, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+22513,48, Private,212954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+22514,39, Local-gov,112284, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22515,50, Private,164198, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,15024,0,45, United-States, >50K
+22516,41, Private,152958, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22517,21, Private,145389, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K
+22518,54, Self-emp-inc,119570, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+22519,40, Private,272343, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+22520,44, Private,187720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K
+22521,50, Private,145409, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+22522,42, Private,208726, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+22523,34, Private,203488, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22524,46, Private,330416, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+22525,35, Private,25803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22526,38, Private,171150, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22527,37, Private,82576, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,36, United-States, >50K
+22528,30, Private,329425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22529,22, Private,185452, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+22530,21, Private,201179, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+22531,40, Private,182268, Preschool,1, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+22532,56, Self-emp-not-inc,95763, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+22533,48, Private,125892, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K
+22534,21, Private,121407, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K
+22535,52, Private,373367, 11th,7, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22536,60, Local-gov,165982, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+22537,45, Private,165484, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+22538,30, Private,156890, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+22539,31, Private,156763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2829,0,40, United-States, <=50K
+22540,43, Private,244172, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, ?, <=50K
+22541,36, Private,219814, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Guatemala, <=50K
+22542,42, Private,171841, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+22543,28, Local-gov,168524, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K
+22544,62, Private,205643, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+22545,65, ?,174904, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22546,45, Private,102559, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K
+22547,47, Private,60267, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+22548,43, Private,388725, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+22549,24, Private,215712, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+22550,44, Private,171722, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,39, United-States, <=50K
+22551,25, Private,193051, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K
+22552,21, Private,305446, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22553,29, Private,146949, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K
+22554,21, Private,322144, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22555,41, Self-emp-inc,75742, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, El-Salvador, >50K
+22556,64, ?,380687, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,8, United-States, <=50K
+22557,55, Self-emp-not-inc,95149, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K
+22558,42, Private,68469, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22559,63, Self-emp-not-inc,27653, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+22560,21, Private,410439, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K
+22561,28, Private,37821, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,55, ?, <=50K
+22562,45, Private,228570, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K
+22563,21, Private,141453, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+22564,34, Private,88215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K
+22565,53, Private,48641, 12th,8, Never-married, Other-service, Not-in-family, Other, Female,0,0,35, United-States, <=50K
+22566,45, Private,185385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22567,47, Private,341471, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,4, United-States, <=50K
+22568,41, Private,163322, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,36, United-States, <=50K
+22569,35, Private,99357, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,30, United-States, >50K
+22570,43, Self-emp-inc,602513, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+22571,53, Local-gov,287192, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K
+22572,34, Private,215047, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+22573,46, Federal-gov,97863, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K
+22574,59, Private,308118, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+22575,53, Private,137192, Bachelors,13, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K
+22576,33, Private,275369, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, Haiti, <=50K
+22577,45, Private,99971, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+22578,48, Self-emp-inc,103713, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+22579,42, Private,253770, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22580,55, Private,162205, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,72, United-States, >50K
+22581,46, Self-emp-not-inc,31267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+22582,17, Private,198146, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+22583,23, Private,178207, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K
+22584,21, Private,317175, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+22585,53, Federal-gov,221791, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+22586,61, Self-emp-inc,187124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K
+22587,58, State-gov,280519, HS-grad,9, Divorced, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+22588,36, Private,207568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22589,45, Local-gov,192684, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+22590,39, Private,103260, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,30, United-States, >50K
+22591,39, Private,191227, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,13550,0,50, United-States, >50K
+22592,48, Self-emp-inc,382242, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+22593,41, Private,106900, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K
+22594,30, Private,48520, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,40, United-States, <=50K
+22595,50, Private,55527, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K
+22596,51, Self-emp-not-inc,246820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,48, United-States, >50K
+22597,23, Private,33884, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+22598,41, Private,29762, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+22599,47, Federal-gov,168109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, <=50K
+22600,51, Private,207449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+22601,60, Self-emp-inc,189098, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22602,51, Private,194259, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+22603,20, Local-gov,194630, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22604,29, Local-gov,179681, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,37, United-States, <=50K
+22605,42, State-gov,136996, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,48, United-States, <=50K
+22606,32, Private,143604, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K
+22607,19, Private,243373, 12th,8, Never-married, Sales, Other-relative, White, Male,1055,0,40, United-States, <=50K
+22608,34, Private,261799, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,45, United-States, >50K
+22609,48, Private,143281, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K
+22610,38, Private,185556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K
+22611,38, Private,111499, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+22612,40, Self-emp-not-inc,280433, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22613,39, Private,37314, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+22614,38, Private,103408, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K
+22615,26, Private,270151, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22616,23, State-gov,96748, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+22617,20, Private,164775, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, <=50K
+22618,49, Private,190319, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Philippines, <=50K
+22619,23, Private,213115, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+22620,47, Private,156926, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Canada, >50K
+22621,43, Private,112967, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+22622,56, Private,35373, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+22623,60, Self-emp-not-inc,220342, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+22624,29, Private,163167, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+22625,25, Private,404951, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+22626,39, Private,122032, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22627,37, Private,143582, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Other, Female,4101,0,35, United-States, <=50K
+22628,38, Private,108140, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,2202,0,45, United-States, <=50K
+22629,47, Private,251508, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K
+22630,50, Self-emp-not-inc,197054, Prof-school,15, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+22631,64, Self-emp-not-inc,36960, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+22632,35, Private,165930, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22633,25, ?,178960, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+22634,42, Private,214503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+22635,51, Private,110458, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22636,21, Private,202125, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22637,53, Self-emp-not-inc,284329, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+22638,29, Private,192924, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22639,34, Private,340917, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829,0,50, ?, <=50K
+22640,37, Private,340614, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+22641,20, Private,196678, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+22642,18, Private,266489, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22643,57, Private,61474, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K
+22644,47, ?,99127, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+22645,27, Private,215955, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K
+22646,23, Self-emp-inc,215395, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22647,36, Self-emp-inc,183898, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+22648,48, Private,97176, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+22649,40, Private,145160, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K
+22650,51, Private,357949, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K
+22651,59, Private,177120, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22652,32, Private,288229, Some-college,10, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, Greece, <=50K
+22653,39, Private,509060, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22654,32, Private,47932, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+22655,38, Private,103925, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+22656,44, State-gov,183829, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+22657,51, Private,138852, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+22658,54, Private,188186, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, Hungary, <=50K
+22659,22, Private,34616, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+22660,19, Private,220819, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K
+22661,31, Federal-gov,281540, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+22662,53, Private,47396, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22663,28, Private,141350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+22664,19, Private,331433, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,32, United-States, <=50K
+22665,40, Federal-gov,346532, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+22666,21, Private,241367, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K
+22667,39, Private,216256, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Italy, >50K
+22668,40, Local-gov,153031, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K
+22669,36, Private,116138, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K
+22670,18, Private,193166, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,42, United-States, <=50K
+22671,32, Self-emp-inc,275094, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, Mexico, >50K
+22672,50, Private,81548, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+22673,18, Private,167979, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+22674,19, Private,67759, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,43, United-States, <=50K
+22675,53, Private,200190, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+22676,49, Private,403112, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+22677,40, Private,214891, Bachelors,13, Married-spouse-absent, Transport-moving, Own-child, Other, Male,0,0,45, ?, <=50K
+22678,31, Private,142675, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+22679,47, Self-emp-not-inc,88500, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+22680,35, Local-gov,145308, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22681,47, Local-gov,204377, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+22682,43, Self-emp-not-inc,260696, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+22683,51, Private,231181, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,21, United-States, <=50K
+22684,54, Private,260052, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22685,76, Local-gov,178665, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+22686,33, Private,226267, 7th-8th,4, Never-married, Sales, Not-in-family, White, Male,0,0,43, Mexico, <=50K
+22687,19, Private,111232, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K
+22688,49, Private,87928, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+22689,26, Private,212748, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22690,23, Private,110677, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+22691,49, Private,139268, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+22692,24, Private,306779, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K
+22693,48, Private,318331, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+22694,36, State-gov,143385, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+22695,33, Private,288273, 12th,8, Separated, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K
+22696,31, Private,167725, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,48, Philippines, >50K
+22697,53, Private,94081, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+22698,22, Private,194723, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+22699,43, Private,163985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22700,31, Private,189759, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K
+22701,53, State-gov,195922, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22702,36, Federal-gov,54159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+22703,47, Local-gov,166863, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22704,52, Private,104501, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K
+22705,39, Private,210626, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+22706,24, Private,448026, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+22707,17, Local-gov,170916, 10th,6, Never-married, Protective-serv, Own-child, White, Female,0,1602,40, United-States, <=50K
+22708,53, Local-gov,283602, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K
+22709,21, Private,189749, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+22710,29, Private,90934, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,64, Philippines, >50K
+22711,34, State-gov,253121, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+22712,28, Private,181776, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22713,61, Private,162397, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+22714,20, Private,70708, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+22715,47, State-gov,103406, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+22716,40, Private,224658, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+22717,26, Local-gov,213451, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,10, Jamaica, <=50K
+22718,53, Private,139671, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22719,26, Private,36201, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22720,39, Private,237713, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,2415,99, United-States, >50K
+22721,17, Local-gov,173497, 11th,7, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K
+22722,46, Private,375606, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+22723,34, Private,203488, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+22724,45, Self-emp-not-inc,107231, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, France, <=50K
+22725,23, Private,216811, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+22726,41, Private,288679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22727,26, Private,105516, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22728,28, Self-emp-not-inc,282972, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,4, United-States, <=50K
+22729,18, Self-emp-inc,117372, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+22730,38, Private,112497, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+22731,66, ?,186032, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,2964,0,30, United-States, <=50K
+22732,28, Private,192384, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+22733,49, Private,43348, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+22734,29, Private,181822, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22735,43, Local-gov,216070, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,50, United-States, >50K
+22736,34, State-gov,112062, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+22737,30, Private,218551, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+22738,25, Private,404616, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22739,27, Private,169460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+22740,25, Private,240081, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+22741,22, Private,147655, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+22742,26, Private,90277, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, ?, <=50K
+22743,49, Private,60751, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+22744,44, Self-emp-not-inc,194636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,50, United-States, <=50K
+22745,37, Self-emp-not-inc,154641, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,50, United-States, <=50K
+22746,39, Private,491000, Bachelors,13, Never-married, Exec-managerial, Other-relative, Black, Male,0,0,45, United-States, <=50K
+22747,33, Private,399088, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K
+22748,41, Self-emp-not-inc,186909, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,1902,35, United-States, >50K
+22749,65, Private,105491, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+22750,40, Private,34987, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,53, United-States, <=50K
+22751,26, ?,167835, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+22752,31, Private,288983, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22753,28, Private,266070, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22754,71, Private,110380, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2467,52, United-States, <=50K
+22755,25, Local-gov,31873, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22756,25, Private,294400, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+22757,19, ?,184308, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K
+22758,36, Self-emp-not-inc,175769, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+22759,56, Private,182273, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22760,34, Private,106541, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22761,39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22762,31, Private,196791, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K
+22763,22, Private,223019, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+22764,44, Private,109273, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+22765,60, Self-emp-not-inc,95490, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+22766,65, Private,149131, 11th,7, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+22767,44, Private,219155, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, England, >50K
+22768,53, Local-gov,82783, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22769,28, Private,214858, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22770,41, Private,170230, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+22771,40, Self-emp-inc,209344, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,15, ?, <=50K
+22772,35, Private,90406, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+22773,41, Self-emp-inc,299813, 9th,5, Married-civ-spouse, Sales, Wife, White, Female,0,0,70, Dominican-Republic, <=50K
+22774,28, Private,188064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Canada, <=50K
+22775,53, Private,246117, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+22776,26, Private,132749, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K
+22777,28, Local-gov,201099, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Female,0,0,40, United-States, <=50K
+22778,27, Private,97490, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+22779,27, Private,221252, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,8, United-States, <=50K
+22780,26, Private,116991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22781,53, Private,161691, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+22782,34, Private,107793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, >50K
+22783,50, Self-emp-inc,194514, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, Trinadad&Tobago, <=50K
+22784,30, Private,278502, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,62, United-States, <=50K
+22785,47, Private,343742, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+22786,27, ?,204074, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22787,55, Federal-gov,31965, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+22788,21, Private,143604, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,29, ?, <=50K
+22789,35, Private,174308, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+22790,31, Self-emp-not-inc,162551, 12th,8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,50, ?, <=50K
+22791,39, Self-emp-inc,372525, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+22792,30, Private,75167, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+22793,39, Private,176296, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1887,40, United-States, >50K
+22794,19, Private,93518, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+22795,25, ?,126797, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22796,57, Self-emp-not-inc,25124, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+22797,21, Private,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K
+22798,30, ?,58798, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,44, United-States, <=50K
+22799,25, Self-emp-not-inc,21472, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K
+22800,32, Private,90969, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+22801,26, Private,149734, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,1594,40, United-States, <=50K
+22802,42, Private,52849, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22803,39, Self-emp-not-inc,106347, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,47, United-States, <=50K
+22804,48, Private,199735, Bachelors,13, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,44, Germany, <=50K
+22805,24, Private,488541, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+22806,46, Private,403911, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+22807,53, Private,172991, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+22808,36, Federal-gov,210945, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, <=50K
+22809,34, Private,157446, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K
+22810,25, Private,109390, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,70, United-States, <=50K
+22811,33, Private,134886, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,99999,0,30, United-States, >50K
+22812,45, Private,144579, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22813,31, Federal-gov,203488, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22814,21, Private,202871, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+22815,33, Private,175412, 9th,5, Divorced, Craft-repair, Unmarried, White, Male,114,0,55, United-States, <=50K
+22816,44, Private,336906, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22817,34, Private,177596, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Puerto-Rico, >50K
+22818,30, Private,79448, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,10, United-States, <=50K
+22819,32, Local-gov,191731, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22820,46, ?,233014, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22821,29, Private,133937, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22822,20, Private,219211, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+22823,35, State-gov,94529, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+22824,35, Private,247547, HS-grad,9, Separated, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K
+22825,29, Private,29361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+22826,21, Private,166851, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+22827,43, Federal-gov,197069, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Philippines, >50K
+22828,33, Private,153588, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+22829,61, Federal-gov,151369, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+22830,42, Private,174112, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22831,33, Private,520033, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+22832,35, State-gov,194828, Some-college,10, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+22833,32, ?,216908, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+22834,22, Private,126613, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+22835,61, Private,26254, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22836,28, Private,54042, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,2463,0,35, United-States, <=50K
+22837,24, Private,67804, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+22838,58, Local-gov,53481, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+22839,42, Private,412379, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+22840,56, Private,220187, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+22841,26, ?,256141, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+22842,25, Private,268222, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22843,59, Private,99131, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+22844,65, Self-emp-not-inc,115498, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3818,0,10, United-States, <=50K
+22845,57, Private,317847, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,2824,50, United-States, >50K
+22846,36, Private,98389, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K
+22847,42, Private,173704, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K
+22848,18, ?,211177, 12th,8, Never-married, ?, Other-relative, Black, Male,0,0,20, United-States, <=50K
+22849,18, Private,115443, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22850,28, Private,65078, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22851,20, Private,24896, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+22852,19, Private,184710, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K
+22853,28, Private,410450, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,48, England, >50K
+22854,37, Private,83893, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+22855,23, Private,113309, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22856,60, Private,160625, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K
+22857,17, Local-gov,340043, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+22858,37, Local-gov,48976, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,45, United-States, <=50K
+22859,29, State-gov,243875, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+22860,34, Private,554206, HS-grad,9, Separated, Transport-moving, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+22861,36, Private,361888, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K
+22862,37, Self-emp-not-inc,205359, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, <=50K
+22863,47, State-gov,167281, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22864,22, Private,35663, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22865,61, Private,357437, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+22866,57, Private,390856, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K
+22867,33, Federal-gov,331615, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K
+22868,54, Private,202415, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22869,40, Private,180032, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K
+22870,40, Private,77247, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+22871,40, Local-gov,101795, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,42, United-States, <=50K
+22872,35, Private,272019, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,40, United-States, <=50K
+22873,32, Private,198068, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+22874,49, Self-emp-not-inc,199326, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+22875,31, Private,178841, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22876,58, Private,136951, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+22877,26, Self-emp-inc,109240, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22878,35, Self-emp-not-inc,128876, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+22879,25, Private,103358, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, India, <=50K
+22880,43, Private,354408, 12th,8, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+22881,32, Private,206051, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K
+22882,45, Private,155659, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+22883,48, Private,143299, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+22884,31, Private,252210, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K
+22885,20, ?,129240, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+22886,28, Private,398918, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22887,50, Self-emp-not-inc,240612, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+22888,22, Private,429346, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K
+22889,19, Private,123718, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+22890,38, Private,455379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,63, United-States, >50K
+22891,23, Private,376416, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+22892,24, Self-emp-inc,234663, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+22893,26, Private,282142, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+22894,45, State-gov,208049, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+22895,88, Private,68539, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+22896,19, Private,126501, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,15, South, <=50K
+22897,24, Private,186452, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22898,84, ?,127184, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+22899,48, Private,165267, 10th,6, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+22900,46, Private,124733, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+22901,31, Self-emp-inc,149726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22902,58, Private,41374, HS-grad,9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+22903,35, Local-gov,329759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22904,36, Private,212433, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+22905,36, Private,185099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+22906,47, Local-gov,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22907,57, Private,122497, 9th,5, Widowed, Other-service, Unmarried, Black, Male,0,0,52, ?, <=50K
+22908,30, Private,118056, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+22909,30, Local-gov,200892, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+22910,19, ?,200790, 12th,8, Married-civ-spouse, ?, Other-relative, White, Female,15024,0,40, United-States, >50K
+22911,30, Self-emp-inc,84119, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,43, United-States, <=50K
+22912,23, Local-gov,197918, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, >50K
+22913,41, Self-emp-not-inc,150533, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+22914,52, Private,443742, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+22915,27, Private,104423, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22916,59, Private,169133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+22917,21, Private,185551, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,36, United-States, <=50K
+22918,60, Private,174486, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22919,69, State-gov,50468, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,34, United-States, >50K
+22920,24, Private,196943, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+22921,19, Private,120691, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K
+22922,60, State-gov,198815, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, Mexico, <=50K
+22923,64, Private,22186, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K
+22924,39, Self-emp-inc,188069, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+22925,51, Private,233149, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+22926,51, Private,138358, 10th,6, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+22927,25, Private,338013, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22928,17, ?,332666, 10th,6, Never-married, ?, Own-child, White, Female,0,0,4, United-States, <=50K
+22929,37, Private,166339, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+22930,74, Self-emp-not-inc,392886, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,14, United-States, <=50K
+22931,26, State-gov,141838, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+22932,23, Private,520759, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+22933,57, Self-emp-inc,37345, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K
+22934,20, Private,387779, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K
+22935,37, Private,201531, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+22936,46, Private,123598, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+22937,39, Private,380614, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K
+22938,40, Private,83859, HS-grad,9, Widowed, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+22939,50, State-gov,24790, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+22940,25, Private,266820, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K
+22941,44, Private,85440, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+22942,41, Private,421837, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22943,30, Self-emp-not-inc,404062, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,15, United-States, >50K
+22944,38, Private,224566, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+22945,54, Private,294991, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+22946,40, Federal-gov,189610, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,52, United-States, <=50K
+22947,37, Private,219141, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7688,0,40, United-States, >50K
+22948,46, Federal-gov,20956, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+22949,38, Private,70995, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+22950,20, Private,215232, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,10, United-States, <=50K
+22951,71, ?,178295, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K
+22952,35, Private,56201, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+22953,62, Private,98076, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22954,34, Private,351810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Cuba, <=50K
+22955,56, Self-emp-not-inc,144351, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,90, United-States, <=50K
+22956,30, State-gov,137613, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K
+22957,17, Private,54257, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+22958,18, Self-emp-not-inc,230373, 11th,7, Never-married, Other-service, Own-child, White, Female,594,0,4, United-States, <=50K
+22959,35, Private,98389, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+22960,21, Private,184135, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,1, United-States, <=50K
+22961,46, Self-emp-not-inc,140121, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+22962,33, Self-emp-not-inc,24504, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+22963,27, Private,129528, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22964,36, Private,415578, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+22965,42, Private,97142, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+22966,35, Private,201328, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+22967,25, Private,256620, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22968,47, Federal-gov,96854, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+22969,44, State-gov,141858, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,75, United-States, >50K
+22970,51, Federal-gov,20795, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K
+22971,53, Private,95519, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+22972,47, Private,112791, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+22973,20, Private,291407, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+22974,32, Private,239659, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,70, United-States, <=50K
+22975,28, Private,183151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+22976,58, ?,97634, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+22977,52, Private,143807, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+22978,35, Private,186934, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+22979,30, Private,170065, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+22980,33, Private,108328, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,50, United-States, <=50K
+22981,56, State-gov,83696, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,38, ?, <=50K
+22982,21, Private,204596, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+22983,56, ?,32604, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+22984,56, Private,193453, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K
+22985,45, Private,148995, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K
+22986,20, Private,85041, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K
+22987,62, Local-gov,140851, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+22988,24, Private,196280, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+22989,52, Federal-gov,38973, Bachelors,13, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+22990,23, Private,39182, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+22991,36, Private,198841, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+22992,40, Private,694812, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+22993,30, Private,247444, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Nicaragua, <=50K
+22994,41, Private,294270, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+22995,59, Private,195820, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+22996,27, Private,329426, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,37, United-States, <=50K
+22997,19, ?,174871, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,23, United-States, <=50K
+22998,41, Private,116103, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+22999,27, Private,206903, Bachelors,13, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K
+23000,50, Private,217577, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+23001,29, Private,337693, 5th-6th,3, Never-married, Other-service, Own-child, White, Female,0,0,40, El-Salvador, <=50K
+23002,38, Private,204501, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+23003,30, Private,169186, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K
+23004,48, Private,109421, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+23005,39, Local-gov,267893, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Black, Male,7298,0,40, United-States, >50K
+23006,40, Private,200479, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+23007,27, Local-gov,221317, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+23008,59, Self-emp-not-inc,132925, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23009,31, ?,283531, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K
+23010,34, Private,170769, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+23011,47, Self-emp-inc,186410, Prof-school,15, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, >50K
+23012,64, Self-emp-inc,307786, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+23013,29, Private,380560, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+23014,38, Local-gov,147258, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23015,42, Private,212894, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K
+23016,49, Private,124356, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+23017,53, Private,98791, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+23018,35, Private,216473, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+23019,70, ?,135339, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+23020,38, Private,107303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23021,36, Private,152744, Bachelors,13, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+23022,34, Self-emp-not-inc,100079, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,55, India, <=50K
+23023,24, Private,117779, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, Hungary, <=50K
+23024,23, Private,197613, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23025,21, Private,411068, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+23026,47, Private,192984, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23027,59, Private,66356, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,4865,0,40, United-States, <=50K
+23028,33, Federal-gov,137184, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K
+23029,63, Self-emp-not-inc,231105, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, >50K
+23030,18, Local-gov,146586, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K
+23031,32, Private,32406, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+23032,33, Private,578701, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K
+23033,19, Private,206777, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+23034,27, Local-gov,133495, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+23035,40, Private,34722, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K
+23036,38, Self-emp-not-inc,133299, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23037,20, Private,24967, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,47, United-States, <=50K
+23038,35, Self-emp-not-inc,171968, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+23039,22, Private,412156, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+23040,40, Private,51290, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+23041,34, Private,198265, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K
+23042,23, Private,293565, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23043,26, Private,226288, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23044,53, Self-emp-inc,110445, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+23045,34, Private,160634, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23046,39, Private,174242, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23047,25, Private,390316, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+23048,18, Private,298860, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+23049,65, Private,171584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23050,49, Self-emp-not-inc,232664, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+23051,64, Private,63676, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+23052,68, Private,170376, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23053,56, Self-emp-not-inc,175964, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23054,68, Federal-gov,422013, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,3683,40, United-States, <=50K
+23055,35, Private,105813, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+23056,50, Federal-gov,306707, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,12, United-States, <=50K
+23057,45, Private,177543, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,28, United-States, <=50K
+23058,43, Private,320277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+23059,39, Private,129495, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23060,37, Private,257042, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,1506,0,40, United-States, <=50K
+23061,45, Private,275995, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+23062,20, ?,86318, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+23063,36, Private,280440, Assoc-acdm,12, Never-married, Tech-support, Unmarried, White, Female,0,0,45, United-States, <=50K
+23064,26, Private,371556, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23065,36, Private,408229, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K
+23066,47, Private,149337, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K
+23067,34, Private,209297, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,2001,40, United-States, <=50K
+23068,53, Private,355802, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+23069,32, Private,165949, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,1590,42, United-States, <=50K
+23070,44, Self-emp-not-inc,112507, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23071,25, Private,462869, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+23072,35, Private,413648, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,36, United-States, <=50K
+23073,34, Private,29235, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23074,42, Private,149823, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23075,47, Private,39530, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,4, United-States, <=50K
+23076,23, Private,197387, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,37, Mexico, <=50K
+23077,56, Local-gov,255406, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23078,50, Private,43764, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+23079,38, Private,168322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+23080,46, Private,278322, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23081,47, Private,115813, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,57, United-States, <=50K
+23082,38, Self-emp-not-inc,184456, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3464,0,80, Italy, <=50K
+23083,42, Private,289636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,46, United-States, <=50K
+23084,48, Private,101684, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+23085,27, Private,133425, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+23086,40, Private,349405, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, <=50K
+23087,53, Private,124076, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,37, United-States, >50K
+23088,75, Self-emp-not-inc,165968, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+23089,39, Private,185099, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+23090,46, Federal-gov,268281, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23091,51, Private,154949, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+23092,34, Private,176711, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+23093,23, Private,165064, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+23094,32, Private,213750, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+23095,45, Self-emp-not-inc,77132, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+23096,21, Private,109667, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+23097,36, Private,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+23098,40, Private,219591, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+23099,20, ?,327462, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23100,68, Private,236943, 9th,5, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+23101,40, Private,89226, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+23102,20, Private,124751, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K
+23103,48, Local-gov,144122, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+23104,27, Private,98769, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+23105,57, Federal-gov,170066, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23106,54, Self-emp-inc,162439, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,98, United-States, >50K
+23107,47, Private,22900, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23108,30, Local-gov,102130, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23109,17, ?,215743, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+23110,35, Private,381583, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,45, United-States, >50K
+23111,56, Local-gov,198277, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23112,20, Private,243178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K
+23113,38, Local-gov,177305, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K
+23114,19, Private,167149, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+23115,24, Private,270872, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,594,0,40, ?, <=50K
+23116,31, Private,382368, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Germany, <=50K
+23117,44, Local-gov,277144, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K
+23118,21, State-gov,145651, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,1602,12, United-States, <=50K
+23119,41, Private,171351, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23120,18, Private,265099, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+23121,23, Private,105617, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+23122,37, Local-gov,217689, Some-college,10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,32, United-States, <=50K
+23123,46, ?,81136, Assoc-voc,11, Divorced, ?, Unmarried, White, Male,0,0,30, United-States, <=50K
+23124,43, Self-emp-not-inc,73883, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K
+23125,31, Private,339482, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+23126,40, Private,326232, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K
+23127,27, Private,106316, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,12, United-States, <=50K
+23128,64, Local-gov,198728, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+23129,31, Federal-gov,126501, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+23130,48, Private,233802, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, <=50K
+23131,37, Self-emp-not-inc,204501, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Canada, >50K
+23132,28, Private,208249, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,24, United-States, <=50K
+23133,42, Private,188693, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23134,60, Self-emp-inc,93272, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+23135,17, Private,159299, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+23136,21, ?,303588, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+23137,46, Private,35136, 10th,6, Divorced, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+23138,18, Private,139576, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+23139,22, Private,252355, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,27, United-States, <=50K
+23140,44, Self-emp-not-inc,83812, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+23141,36, Private,89718, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+23142,65, Private,222810, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23143,26, Private,456618, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+23144,21, Private,296158, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K
+23145,41, Private,162140, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2339,40, United-States, <=50K
+23146,28, Private,36601, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+23147,27, Private,195337, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23148,19, State-gov,282721, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,12, United-States, <=50K
+23149,40, Private,206049, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23150,19, Private,223392, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+23151,40, Private,27821, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,40, United-States, <=50K
+23152,37, Private,131827, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+23153,33, Private,549413, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+23154,34, Private,69491, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+23155,44, Local-gov,193755, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23156,33, Private,598802, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23157,72, Local-gov,259762, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290,0,10, United-States, <=50K
+23158,19, Private,266255, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+23159,59, Private,32954, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+23160,40, Private,291808, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+23161,35, Private,190728, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+23162,22, Private,59184, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+23163,41, Private,196456, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23164,59, Private,147989, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+23165,50, Private,195784, 12th,8, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+23166,21, Private,202214, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K
+23167,40, Self-emp-inc,225165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+23168,22, Private,54825, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23169,43, Private,188905, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+23170,17, Private,132636, 11th,7, Never-married, Transport-moving, Own-child, White, Female,0,0,16, United-States, <=50K
+23171,42, Local-gov,228320, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23172,37, Private,415500, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+23173,19, Private,254247, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, ?, <=50K
+23174,43, Private,255635, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K
+23175,46, Private,96080, 9th,5, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+23176,18, ?,78181, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+23177,50, Local-gov,339547, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, >50K
+23178,47, Self-emp-not-inc,126500, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+23179,31, Private,511289, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,2907,0,99, United-States, <=50K
+23180,33, Private,159574, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+23181,27, Private,224105, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K
+23182,59, Self-emp-not-inc,128105, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+23183,39, Local-gov,89508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23184,29, Private,370242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23185,26, Private,67257, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+23186,24, Private,62952, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23187,25, Private,111058, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1980,40, United-States, <=50K
+23188,30, Private,29235, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K
+23189,52, State-gov,101119, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23190,51, Federal-gov,140516, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23191,30, Private,159888, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+23192,19, ?,45643, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+23193,23, Private,166371, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,60, United-States, <=50K
+23194,37, State-gov,160910, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+23195,25, State-gov,257064, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,38, United-States, <=50K
+23196,49, Self-emp-not-inc,181307, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K
+23197,30, Private,83253, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+23198,40, Private,128700, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23199,20, Private,243010, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Other, Male,0,0,32, United-States, <=50K
+23200,35, Self-emp-not-inc,37778, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,55, United-States, <=50K
+23201,24, Private,132320, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K
+23202,32, Private,234755, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+23203,35, Private,142616, HS-grad,9, Separated, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K
+23204,20, Private,148509, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23205,29, State-gov,240738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23206,25, Private,32276, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K
+23207,50, Local-gov,163921, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23208,24, Private,464103, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+23209,49, ?,271346, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,15024,0,60, United-States, >50K
+23210,30, Local-gov,327825, HS-grad,9, Divorced, Protective-serv, Own-child, White, Female,0,0,32, United-States, <=50K
+23211,37, Private,267085, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+23212,50, Private,266945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3137,0,40, El-Salvador, <=50K
+23213,20, Private,234663, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+23214,49, Self-emp-not-inc,189123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K
+23215,55, Private,104996, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+23216,61, Private,101265, 12th,8, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, Italy, <=50K
+23217,22, Private,184975, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K
+23218,23, Private,246965, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,12, United-States, <=50K
+23219,43, Private,227065, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+23220,39, Private,301867, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,24, Philippines, <=50K
+23221,21, Private,185948, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+23222,52, Self-emp-inc,134854, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23223,30, Private,281030, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K
+23224,42, Private,126701, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,9562,0,45, United-States, >50K
+23225,50, Self-emp-not-inc,95949, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+23226,51, Self-emp-not-inc,88528, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, <=50K
+23227,47, Private,24723, 10th,6, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K
+23228,49, ?,171411, 9th,5, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23229,45, Private,184581, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23230,48, Federal-gov,100067, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23231,36, Private,182863, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23232,20, Never-worked,462294, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+23233,61, Private,85434, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23234,72, Private,158092, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+23235,19, Private,104844, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+23236,54, Self-emp-inc,304570, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K
+23237,47, ?,89806, Some-college,10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K
+23238,39, Private,106183, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,6849,0,40, United-States, <=50K
+23239,24, Private,89347, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23240,44, Private,157236, Some-college,10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, Poland, <=50K
+23241,19, Private,261259, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+23242,20, Private,286166, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+23243,23, Private,122272, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K
+23244,58, Private,248739, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,53, United-States, >50K
+23245,20, Private,224238, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23246,62, Private,138157, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K
+23247,25, Private,148460, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,4416,0,40, Puerto-Rico, <=50K
+23248,67, Private,236627, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,2, United-States, <=50K
+23249,37, Local-gov,191364, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, France, >50K
+23250,36, Private,353524, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Female,1831,0,40, United-States, <=50K
+23251,38, Private,391040, Assoc-voc,11, Separated, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K
+23252,23, Private,134997, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K
+23253,28, Private,392487, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+23254,25, Private,216724, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+23255,41, Self-emp-not-inc,174395, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K
+23256,63, Private,383058, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K
+23257,60, Self-emp-not-inc,96073, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+23258,31, Self-emp-inc,103435, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+23259,29, Self-emp-not-inc,96718, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K
+23260,37, Private,178948, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,45, United-States, >50K
+23261,51, Private,173987, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+23262,45, Private,34419, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+23263,27, Private,224849, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23264,18, Private,249857, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+23265,34, Private,340458, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+23266,66, Self-emp-not-inc,427422, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,2377,25, United-States, >50K
+23267,19, ?,440417, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+23268,36, Private,175643, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+23269,35, Private,297485, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+23270,27, Private,232954, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+23271,29, Private,326330, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,1831,0,40, United-States, <=50K
+23272,25, Private,109419, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+23273,22, Private,127768, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, >50K
+23274,41, Private,252986, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+23275,20, Private,380544, Assoc-acdm,12, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K
+23276,52, Private,306108, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23277,34, Private,232855, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K
+23278,44, Private,130126, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+23279,50, Private,194231, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K
+23280,49, Self-emp-inc,197038, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23281,36, ?,168223, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+23282,71, State-gov,26109, Prof-school,15, Married-civ-spouse, Other-service, Husband, White, Male,0,0,28, United-States, <=50K
+23283,20, Private,285671, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,25, United-States, <=50K
+23284,20, Private,153583, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, ?, <=50K
+23285,59, Self-emp-inc,103948, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+23286,41, Private,439919, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,3411,0,40, Mexico, <=50K
+23287,38, Private,40319, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K
+23288,55, Local-gov,159028, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23289,17, Private,98675, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+23290,45, Private,90758, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+23291,43, Self-emp-not-inc,75435, HS-grad,9, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+23292,19, Private,219189, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+23293,33, Private,203463, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+23294,63, Private,187635, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23295,39, Self-emp-not-inc,154641, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,8614,0,50, United-States, >50K
+23296,34, Private,27153, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23297,31, Private,150324, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+23298,21, Private,83704, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23299,23, Private,176262, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, White, Female,0,0,36, United-States, <=50K
+23300,20, Private,179423, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,8, United-States, <=50K
+23301,45, Private,168038, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+23302,59, Private,108765, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+23303,58, Private,146477, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, Greece, >50K
+23304,66, Local-gov,188220, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, >50K
+23305,37, Private,292855, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,35, United-States, >50K
+23306,29, Private,114870, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23307,32, State-gov,77723, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+23308,39, Private,284166, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+23309,57, Private,133902, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+23310,57, Private,191318, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23311,50, Self-emp-inc,67794, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+23312,44, Self-emp-inc,357679, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,65, United-States, >50K
+23313,56, Private,117872, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+23314,26, Private,55929, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K
+23315,22, ?,165065, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Italy, <=50K
+23316,26, Self-emp-not-inc,34307, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K
+23317,33, Private,246038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23318,36, Self-emp-not-inc,147258, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+23319,45, Private,329144, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+23320,56, Local-gov,52953, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,1669,38, United-States, <=50K
+23321,23, Private,216181, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,36, Iran, <=50K
+23322,23, Private,391171, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,25, United-States, <=50K
+23323,35, Local-gov,223242, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23324,39, Private,103925, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,32, United-States, >50K
+23325,45, Private,38240, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23326,21, Private,148444, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+23327,56, State-gov,110257, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+23328,31, Federal-gov,101345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+23329,44, Private,268098, 12th,8, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,36, United-States, <=50K
+23330,21, ?,369084, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,10, United-States, <=50K
+23331,31, Private,288825, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K
+23332,20, Private,162688, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K
+23333,17, ?,48751, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+23334,44, Federal-gov,184099, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+23335,19, Private,307496, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,23, United-States, <=50K
+23336,71, ?,176986, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,24, United-States, <=50K
+23337,23, Private,267955, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23338,21, Private,283969, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K
+23339,29, State-gov,204516, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K
+23340,33, Private,167771, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+23341,46, Private,345073, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, >50K
+23342,21, ?,380219, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+23343,36, Self-emp-inc,306156, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+23344,70, Self-emp-not-inc,37203, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386,0,30, United-States, >50K
+23345,19, Private,185097, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,37, United-States, <=50K
+23346,29, Private,144808, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+23347,34, Private,187203, Assoc-acdm,12, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+23348,26, Private,125089, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23349,30, Private,289458, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23350,34, Private,144798, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23351,24, ?,172152, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,25, Taiwan, <=50K
+23352,28, Private,207513, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K
+23353,24, ?,164574, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+23354,76, Private,199949, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,20051,0,50, United-States, >50K
+23355,19, Private,213024, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+23356,45, Private,213140, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K
+23357,24, Self-emp-not-inc,83374, Some-college,10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, >50K
+23358,37, Private,192939, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23359,24, Private,424494, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+23360,24, Private,215243, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K
+23361,40, Private,30682, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+23362,20, Private,306639, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+23363,23, Local-gov,218678, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+23364,25, Private,219130, Some-college,10, Never-married, Other-service, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+23365,64, Private,180624, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, White, Female,0,0,30, United-States, <=50K
+23366,53, Local-gov,200190, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, United-States, >50K
+23367,28, Private,194472, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+23368,52, Local-gov,205767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+23369,28, Private,249870, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+23370,31, Private,211242, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+23371,77, Private,149912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K
+23372,22, Private,85389, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+23373,17, ?,806316, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+23374,38, Private,329980, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+23375,45, ?,236612, 11th,7, Divorced, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+23376,25, Local-gov,249214, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23377,50, Private,257126, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23378,53, Local-gov,204397, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+23379,24, Private,291979, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23380,33, Private,138667, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+23381,57, Federal-gov,42298, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,40, United-States, >50K
+23382,39, Private,375452, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,48, United-States, >50K
+23383,30, Private,94413, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K
+23384,31, Federal-gov,166626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+23385,39, State-gov,326566, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+23386,30, Private,165503, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,65, United-States, <=50K
+23387,48, Private,102597, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K
+23388,62, ?,113234, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+23389,39, Private,177277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+23390,34, Private,198103, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,1980,40, United-States, <=50K
+23391,45, Private,260490, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23392,32, Private,237478, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+23393,40, Federal-gov,36885, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+23394,17, Private,166242, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+23395,19, ?,158603, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K
+23396,25, Private,274228, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, <=50K
+23397,42, Private,185145, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,57, United-States, <=50K
+23398,66, Private,28367, Bachelors,13, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male,0,0,99, United-States, <=50K
+23399,63, Self-emp-not-inc,28612, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K
+23400,43, Private,191429, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K
+23401,26, Private,459548, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, Mexico, <=50K
+23402,23, Private,65481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K
+23403,39, Private,186130, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+23404,47, Self-emp-inc,350759, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23405,36, Private,359678, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,48, United-States, <=50K
+23406,35, Private,220595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23407,25, Private,29599, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23408,21, State-gov,299153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+23409,46, Private,75256, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, United-States, <=50K
+23410,43, Private,143583, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+23411,31, State-gov,207505, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K
+23412,41, Private,308550, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,60, United-States, <=50K
+23413,50, Private,145717, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+23414,36, Private,334366, 11th,7, Separated, Exec-managerial, Not-in-family, White, Female,0,0,32, United-States, <=50K
+23415,31, ?,76198, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+23416,45, Self-emp-not-inc,155489, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+23417,50, Private,197322, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23418,52, Private,194259, 7th-8th,4, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K
+23419,40, Private,346189, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23420,55, Private,98361, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+23421,64, ?,178556, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,56, United-States, >50K
+23422,51, Self-emp-inc,162943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23423,30, Private,19302, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+23424,56, State-gov,67662, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K
+23425,35, Private,126675, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+23426,55, Self-emp-not-inc,278228, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+23427,30, Private,169152, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+23428,34, Private,204052, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23429,36, Private,215392, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+23430,43, Self-emp-inc,83348, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+23431,24, Local-gov,196816, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K
+23432,30, Private,541343, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+23433,33, Local-gov,55921, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K
+23434,32, Private,251701, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K
+23435,29, Federal-gov,119848, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23436,50, Private,160572, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,47, United-States, <=50K
+23437,18, Private,25837, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K
+23438,20, Private,236592, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+23439,45, State-gov,199326, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+23440,22, Private,341610, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, ?, <=50K
+23441,45, Private,175958, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23442,41, Private,198965, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23443,42, Local-gov,193537, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,35, Puerto-Rico, <=50K
+23444,24, Private,438839, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23445,22, Private,298227, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K
+23446,28, Private,271466, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+23447,23, Private,335570, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+23448,21, Private,206891, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Female,0,0,38, United-States, <=50K
+23449,23, Private,162551, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+23450,45, Private,145637, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+23451,41, Private,101290, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+23452,49, Federal-gov,229376, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+23453,38, Private,439592, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+23454,37, Private,161141, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23455,70, Private,304570, Bachelors,13, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,32, Philippines, <=50K
+23456,24, Private,103277, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2597,0,40, United-States, <=50K
+23457,28, Local-gov,407672, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23458,24, Private,73928, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+23459,83, Self-emp-inc,240150, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051,0,50, United-States, >50K
+23460,69, Private,230417, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, China, >50K
+23461,37, Private,260093, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23462,28, Private,96020, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23463,54, Private,104421, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23464,71, Private,152307, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,45, United-States, >50K
+23465,56, State-gov,93415, HS-grad,9, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+23466,27, Local-gov,282664, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,45, ?, <=50K
+23467,42, Self-emp-not-inc,269733, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K
+23468,21, Private,202871, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,44, United-States, <=50K
+23469,29, Private,169683, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+23470,27, Private,271603, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,24, ?, <=50K
+23471,32, Private,340917, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+23472,31, Private,329874, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23473,38, Private,43770, Some-college,10, Separated, Other-service, Not-in-family, White, Female,4650,0,72, United-States, <=50K
+23474,55, State-gov,120781, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+23475,48, Private,138069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+23476,58, Self-emp-not-inc,33309, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,80, United-States, <=50K
+23477,23, Private,76432, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23478,28, State-gov,277635, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+23479,49, Local-gov,123088, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, <=50K
+23480,51, Private,57698, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+23481,23, Private,181820, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,53, United-States, <=50K
+23482,40, Self-emp-not-inc,98985, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+23483,59, Private,98350, HS-grad,9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+23484,47, Private,125120, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K
+23485,37, Private,243409, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+23486,39, Private,58972, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,1506,0,40, United-States, <=50K
+23487,43, Private,62857, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+23488,40, Private,283174, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+23489,48, Private,107373, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+23490,29, Private,201155, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K
+23491,48, Private,187505, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+23492,37, Private,61778, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K
+23493,19, Private,223648, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4101,0,48, United-States, <=50K
+23494,28, Private,149652, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K
+23495,56, Private,170324, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Trinadad&Tobago, <=50K
+23496,45, Private,165937, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+23497,60, State-gov,114060, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+23498,53, State-gov,58913, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+23499,37, State-gov,378916, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+23500,31, Private,241885, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+23501,29, Private,224421, Assoc-voc,11, Married-AF-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, >50K
+23502,31, ?,213771, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,36, United-States, <=50K
+23503,39, Private,315565, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Cuba, <=50K
+23504,31, Local-gov,153005, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23505,42, Private,98211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+23506,17, Private,198606, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,16, United-States, <=50K
+23507,19, Private,260333, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+23508,24, Private,219510, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,32, United-States, <=50K
+23509,62, Private,266624, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,40, United-States, >50K
+23510,34, Private,136862, 1st-4th,2, Never-married, Other-service, Other-relative, White, Female,0,0,40, Guatemala, <=50K
+23511,47, Self-emp-inc,215620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+23512,58, Private,187067, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,62, Canada, <=50K
+23513,23, Private,325921, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+23514,33, Private,268127, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23515,76, Private,142535, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,6, United-States, <=50K
+23516,40, Private,177083, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+23517,28, Private,77009, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+23518,41, Private,306405, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+23519,46, Local-gov,303918, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,96, United-States, >50K
+23520,22, Federal-gov,262819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23521,29, Private,49087, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+23522,26, Private,53833, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+23523,31, Private,1033222, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,8614,0,40, United-States, >50K
+23524,22, Private,81145, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+23525,41, Private,215479, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,43, United-States, <=50K
+23526,29, Private,113464, HS-grad,9, Never-married, Transport-moving, Other-relative, Other, Male,0,0,40, Dominican-Republic, <=50K
+23527,60, Private,109530, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K
+23528,72, Federal-gov,217864, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+23529,41, Self-emp-inc,117721, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+23530,19, Private,199484, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+23531,25, Private,248851, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+23532,24, Private,116968, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+23533,59, Private,366618, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+23534,17, Private,240143, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+23535,59, ?,424468, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+23536,69, ?,320280, Some-college,10, Never-married, ?, Not-in-family, White, Male,1848,0,1, United-States, <=50K
+23537,25, Private,120238, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,2885,0,43, United-States, <=50K
+23538,50, ?,194186, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+23539,29, Private,247053, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23540,43, Private,180599, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+23541,29, Local-gov,190330, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+23542,29, State-gov,199450, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K
+23543,32, Local-gov,199539, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+23544,17, ?,94366, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,6, United-States, <=50K
+23545,50, Self-emp-not-inc,29231, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+23546,43, Private,33126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+23547,41, Private,102085, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+23548,32, Private,212064, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+23549,54, State-gov,166774, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K
+23550,65, Private,95303, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23551,18, ?,379768, HS-grad,9, Never-married, ?, Own-child, Other, Female,0,0,40, United-States, <=50K
+23552,70, Self-emp-inc,247383, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23553,53, Private,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+23554,37, Private,135436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K
+23555,21, Private,180052, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+23556,20, Private,214387, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+23557,47, State-gov,149337, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,38, United-States, <=50K
+23558,26, Private,208326, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3942,0,45, United-States, <=50K
+23559,31, Private,34374, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+23560,45, Self-emp-not-inc,58683, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23561,35, Private,403037, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23562,55, Private,32365, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+23563,49, Private,155489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+23564,33, Self-emp-inc,289886, HS-grad,9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+23565,30, Federal-gov,54684, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, ?, <=50K
+23566,19, Private,101549, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+23567,48, Self-emp-inc,51579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+23568,41, Private,40151, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+23569,29, Private,244721, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, >50K
+23570,47, Local-gov,228372, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+23571,53, Local-gov,236873, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+23572,19, Private,250249, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+23573,71, Private,93202, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K
+23574,29, Private,176723, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+23575,43, Local-gov,175526, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+23576,23, Private,91842, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+23577,52, Private,71768, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23578,56, Private,181220, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+23579,28, Private,204516, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23580,44, Self-emp-not-inc,89172, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K
+23581,37, Federal-gov,143547, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23582,30, Private,310889, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23583,31, Local-gov,150324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23584,20, Private,216472, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+23585,64, Private,212838, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+23586,45, Private,168283, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+23587,40, Private,187702, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+23588,19, Private,60661, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,52, United-States, <=50K
+23589,54, Private,115284, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K
+23590,61, Self-emp-inc,98350, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K
+23591,18, Private,195372, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+23592,62, ?,81578, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+23593,33, Private,111567, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23594,51, Private,244572, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+23595,54, Private,230919, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23596,24, Private,282604, Some-college,10, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0,0,24, United-States, <=50K
+23597,54, Private,320196, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Germany, <=50K
+23598,42, Private,201466, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+23599,51, Federal-gov,254211, Masters,14, Widowed, Sales, Unmarried, White, Male,0,0,50, El-Salvador, >50K
+23600,41, Private,599629, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K
+23601,47, Local-gov,219632, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+23602,31, State-gov,161631, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23603,21, Private,202373, Assoc-voc,11, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+23604,52, Private,169549, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+23605,20, Private,127185, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+23606,18, Private,184277, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+23607,58, Private,119751, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female,0,0,60, Philippines, <=50K
+23608,23, Private,294701, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23609,21, Private,26842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+23610,43, State-gov,114537, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+23611,53, Private,126386, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+23612,18, Private,163787, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+23613,44, Private,98211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23614,31, Private,175509, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+23615,48, Private,159854, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+23616,55, Self-emp-inc,120920, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+23617,24, Private,187551, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+23618,41, State-gov,27305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23619,35, Private,216711, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23620,47, Local-gov,218596, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23621,54, Private,280292, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K
+23622,40, Private,200496, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23623,56, Self-emp-not-inc,78090, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+23624,23, Private,118693, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23625,34, Self-emp-not-inc,203488, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+23626,27, Local-gov,172091, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+23627,32, Private,113364, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+23628,72, Self-emp-not-inc,139889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,74, United-States, <=50K
+23629,43, Local-gov,301638, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,40, United-States, <=50K
+23630,32, Private,110279, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K
+23631,53, Private,242859, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, Cuba, <=50K
+23632,18, Private,132986, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+23633,38, Private,254439, 10th,6, Widowed, Transport-moving, Unmarried, Black, Male,114,0,40, United-States, <=50K
+23634,41, Federal-gov,187462, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+23635,29, Private,264961, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K
+23636,70, ?,148065, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, >50K
+23637,46, Self-emp-inc,200949, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,50, ?, <=50K
+23638,47, Private,47247, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+23639,56, Local-gov,571017, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K
+23640,28, Private,416577, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,2829,0,40, United-States, <=50K
+23641,55, State-gov,296991, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+23642,50, State-gov,45961, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K
+23643,47, Private,302711, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23644,42, Self-emp-inc,50356, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+23645,22, Private,199336, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K
+23646,42, Private,341178, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, Mexico, <=50K
+23647,42, Federal-gov,70240, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+23648,46, Private,229394, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23649,45, Private,390368, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,99, United-States, >50K
+23650,55, Private,82098, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K
+23651,57, Private,170411, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+23652,25, Private,109532, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23653,43, Private,142682, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, Dominican-Republic, <=50K
+23654,34, Self-emp-inc,127651, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+23655,27, Local-gov,236472, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+23656,25, Private,176047, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,2176,0,40, United-States, <=50K
+23657,37, Private,111499, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23658,48, Private,425199, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K
+23659,38, Private,229009, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K
+23660,17, Private,232713, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,594,0,30, United-States, <=50K
+23661,70, Private,141742, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,9386,0,50, United-States, >50K
+23662,37, Private,234807, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K
+23663,45, Private,738812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K
+23664,56, Private,204816, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+23665,64, Private,342494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23666,35, Local-gov,226311, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+23667,23, Private,143062, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+23668,42, Local-gov,125155, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,90, United-States, <=50K
+23669,23, Private,329925, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+23670,26, ?,208994, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K
+23671,56, Local-gov,212864, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+23672,41, Private,214242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+23673,47, Self-emp-not-inc,191175, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,2179,50, Mexico, <=50K
+23674,21, Private,118693, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+23675,29, Private,253593, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+23676,32, State-gov,206051, Some-college,10, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+23677,72, Private,497280, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+23678,69, Self-emp-not-inc,240562, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K
+23679,19, Private,140985, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,25, United-States, <=50K
+23680,25, Local-gov,191921, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K
+23681,56, Private,204049, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1848,50, United-States, >50K
+23682,42, Private,331651, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,50, United-States, >50K
+23683,58, Private,142158, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K
+23684,24, Private,249046, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+23685,41, Private,213019, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, >50K
+23686,40, Private,199599, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23687,37, Private,186191, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, ?, <=50K
+23688,25, Private,28008, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23689,43, Self-emp-inc,82488, Bachelors,13, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K
+23690,36, Private,117073, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23691,41, Private,325786, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23692,31, Private,37546, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23693,22, Private,204226, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+23694,36, Private,133299, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23695,42, Private,29702, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23696,29, Private,307812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+23697,25, Private,174545, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K
+23698,23, Private,233472, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23699,34, Private,184147, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K
+23700,27, Private,198188, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,45, United-States, <=50K
+23701,32, Private,447066, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,50, United-States, >50K
+23702,33, Private,200246, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23703,38, Private,166585, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+23704,21, Private,335570, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, ?, <=50K
+23705,39, Private,53569, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23706,50, Private,167065, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23707,32, Private,113364, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K
+23708,40, Federal-gov,219266, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23709,58, Federal-gov,200042, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+23710,20, Private,205975, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+23711,63, ?,234083, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,2205,40, United-States, <=50K
+23712,56, Private,65325, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K
+23713,30, Local-gov,194740, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+23714,39, Private,99065, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,39, United-States, <=50K
+23715,25, Private,212793, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+23716,33, Private,112941, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+23717,41, State-gov,187322, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23718,50, Private,283676, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23719,44, Private,173682, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23720,27, Private,168470, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23721,27, Private,186454, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550,0,40, United-States, >50K
+23722,58, Private,141807, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K
+23723,25, Private,245628, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,15, Mexico, <=50K
+23724,31, Private,264864, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+23725,39, Private,262841, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23726,55, Private,37438, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23727,22, Private,170800, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+23728,44, Private,152150, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23729,41, ?,211873, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,1628,5, ?, <=50K
+23730,44, Private,159580, 12th,8, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23731,61, Private,477209, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, <=50K
+23732,32, Private,70985, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23733,35, Private,241998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+23734,28, Private,249541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23735,57, Private,135339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+23736,32, Private,44675, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+23737,46, State-gov,247992, 7th-8th,4, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+23738,26, Self-emp-not-inc,221626, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1579,20, United-States, <=50K
+23739,43, Self-emp-inc,48087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23740,62, Local-gov,114045, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+23741,60, State-gov,69251, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,38, China, >50K
+23742,67, Private,192670, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+23743,19, Private,268392, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K
+23744,55, ?,170994, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23745,48, Private,431513, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K
+23746,19, State-gov,37332, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+23747,19, Private,35865, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+23748,43, Private,183891, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+23749,31, Private,150309, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,90, United-States, <=50K
+23750,65, Private,93318, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K
+23751,32, Private,171814, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23752,36, State-gov,183735, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23753,41, Private,353541, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+23754,33, Local-gov,152351, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K
+23755,72, ?,271352, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K
+23756,34, Private,345705, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K
+23757,27, Private,223751, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+23758,75, Self-emp-inc,164570, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+23759,39, ?,281363, 10th,6, Widowed, ?, Unmarried, White, Female,0,0,15, United-States, <=50K
+23760,51, Private,110747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+23761,47, Private,34458, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+23762,31, Private,254293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23763,40, Private,270147, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+23764,48, Private,195491, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+23765,36, Local-gov,255454, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+23766,18, Private,126125, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+23767,33, Private,618191, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23768,34, Private,163110, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+23769,51, Private,145409, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,48, United-States, >50K
+23770,39, State-gov,235379, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23771,20, Private,55465, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+23772,67, Local-gov,181220, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+23773,42, Private,26672, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+23774,59, Private,98361, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23775,31, Local-gov,219883, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+23776,19, Private,376683, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,2036,0,30, United-States, <=50K
+23777,47, Private,33865, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K
+23778,68, Private,168794, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+23779,30, Private,94245, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+23780,34, Private,34572, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K
+23781,49, Private,348751, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+23782,38, Private,65382, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23783,60, Private,116707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+23784,51, Private,178054, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K
+23785,24, Private,140001, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23786,18, Private,166889, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,1602,35, United-States, <=50K
+23787,24, Private,117789, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+23788,21, Private,238917, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+23789,48, Local-gov,242923, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1848,40, United-States, >50K
+23790,52, Local-gov,330799, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+23791,48, Private,209460, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23792,40, Federal-gov,75313, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,66, United-States, >50K
+23793,29, ?,339100, 11th,7, Divorced, ?, Not-in-family, White, Female,3418,0,48, United-States, <=50K
+23794,20, Private,184779, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K
+23795,31, Private,139000, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+23796,30, Private,361742, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+23797,30, Private,260782, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K
+23798,51, Private,203435, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+23799,29, Private,100579, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23800,56, Self-emp-not-inc,356067, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K
+23801,46, Private,87250, Bachelors,13, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+23802,41, Private,264663, Some-college,10, Separated, Prof-specialty, Own-child, White, Female,0,3900,40, United-States, <=50K
+23803,29, Private,255817, 5th-6th,3, Never-married, Other-service, Other-relative, White, Female,0,0,40, El-Salvador, <=50K
+23804,48, Self-emp-not-inc,243631, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,30, South, <=50K
+23805,34, Self-emp-inc,544268, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+23806,42, Self-emp-not-inc,98061, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+23807,25, Private,95691, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, Columbia, <=50K
+23808,47, Private,145868, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23809,23, Private,65038, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+23810,43, Local-gov,227734, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,22, United-States, <=50K
+23811,19, Local-gov,176831, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K
+23812,22, Private,211678, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+23813,40, Local-gov,157240, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,70, United-States, <=50K
+23814,41, Self-emp-not-inc,145441, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Yugoslavia, <=50K
+23815,71, Self-emp-inc,66624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,60, United-States, >50K
+23816,42, Private,76487, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+23817,31, State-gov,557853, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,47, United-States, <=50K
+23818,69, ?,262352, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K
+23819,58, Self-emp-not-inc,118253, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+23820,36, Private,146625, 11th,7, Widowed, Other-service, Unmarried, Black, Female,0,0,12, United-States, <=50K
+23821,31, Private,174201, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+23822,20, ?,66695, Some-college,10, Never-married, ?, Own-child, Other, Female,594,0,35, United-States, <=50K
+23823,41, Private,121130, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23824,35, Private,385847, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23825,62, ?,83439, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+23826,28, Private,114158, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+23827,27, Private,381789, 12th,8, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K
+23828,17, Private,82041, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Canada, <=50K
+23829,35, Self-emp-not-inc,115618, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+23830,45, Self-emp-not-inc,106110, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K
+23831,44, Private,267521, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23832,27, Private,90692, Assoc-voc,11, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+23833,51, Private,57101, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23834,49, Private,236913, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+23835,64, Self-emp-not-inc,388625, 10th,6, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, >50K
+23836,54, Self-emp-not-inc,261207, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, Cuba, <=50K
+23837,43, Private,245487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K
+23838,32, Private,262153, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+23839,36, Private,225516, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,10520,0,43, United-States, >50K
+23840,26, Self-emp-not-inc,68729, HS-grad,9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+23841,37, Private,126954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+23842,38, Private,85074, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+23843,26, Private,383306, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23844,50, Private,128143, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K
+23845,47, Private,185041, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+23846,42, Private,99373, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23847,66, Local-gov,157942, HS-grad,9, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+23848,43, Private,241928, HS-grad,9, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,32, United-States, <=50K
+23849,37, Private,348739, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+23850,37, Private,95654, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K
+23851,25, Private,367306, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+23852,29, Private,270421, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+23853,63, ?,221592, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+23854,50, Self-emp-not-inc,156951, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K
+23855,42, State-gov,39239, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K
+23856,32, Private,72744, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23857,42, State-gov,367292, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+23858,41, Self-emp-not-inc,408498, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+23859,25, Private,361493, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+23860,65, Self-emp-inc,157403, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+23861,32, Private,231263, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+23862,32, Private,244147, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,10, United-States, <=50K
+23863,24, Private,220944, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+23864,51, Federal-gov,314007, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23865,67, ?,200862, 10th,6, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+23866,28, Private,33374, 11th,7, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+23867,32, Self-emp-inc,345489, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+23868,77, Private,83601, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+23869,47, Private,162302, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+23870,26, Private,112847, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23871,20, Private,147344, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+23872,57, State-gov,183657, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, >50K
+23873,40, Private,130760, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+23874,50, Private,163948, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+23875,19, Private,316797, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,45, Mexico, <=50K
+23876,54, Federal-gov,332243, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+23877,51, Local-gov,195844, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+23878,51, Local-gov,387250, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+23879,38, State-gov,188303, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,40, United-States, >50K
+23880,68, ?,40956, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+23881,17, Private,178953, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+23882,32, Private,398988, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23883,29, Private,535978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+23884,42, Private,296982, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+23885,40, Private,231991, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+23886,27, Private,295799, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23887,22, State-gov,201569, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+23888,58, Private,193568, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23889,61, Private,97128, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+23890,42, Private,203393, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,35, United-States, >50K
+23891,49, Private,138370, Masters,14, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+23892,41, Self-emp-inc,120277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K
+23893,43, Private,91949, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+23894,46, Private,228372, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, >50K
+23895,28, Private,132191, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+23896,39, Self-emp-not-inc,274683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+23897,50, Local-gov,196307, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+23898,57, Private,195835, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23899,47, Private,185399, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K
+23900,79, Self-emp-not-inc,103684, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+23901,40, Private,140559, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,45, United-States, <=50K
+23902,35, Federal-gov,110188, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+23903,35, Local-gov,668319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,80, United-States, <=50K
+23904,30, Private,112358, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K
+23905,26, Private,151810, 10th,6, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+23906,49, Private,48120, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,1506,0,40, United-States, <=50K
+23907,48, Private,144844, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23908,22, Private,205839, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+23909,22, Private,113760, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+23910,50, Private,138358, 10th,6, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,47, Jamaica, <=50K
+23911,47, Self-emp-not-inc,216657, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+23912,36, Private,278576, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+23913,44, Private,174373, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23914,73, Private,220019, 9th,5, Widowed, Other-service, Unmarried, White, Female,0,0,9, United-States, <=50K
+23915,24, ?,311949, HS-grad,9, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,45, ?, <=50K
+23916,34, Private,303867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+23917,37, Private,154210, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K
+23918,28, ?,131310, 12th,8, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Germany, <=50K
+23919,46, Private,202560, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+23920,20, ?,358783, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+23921,29, Private,423024, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+23922,24, Private,206671, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+23923,29, State-gov,245310, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+23924,18, Private,31983, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+23925,41, Private,124956, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,90, United-States, >50K
+23926,59, Private,118358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23927,27, Private,491421, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K
+23928,50, Private,151580, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+23929,25, Private,248990, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, Mexico, <=50K
+23930,42, Private,157425, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+23931,36, Private,221650, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Japan, <=50K
+23932,62, Private,88055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K
+23933,71, Private,216608, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23934,38, Private,682947, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+23935,44, Private,228124, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+23936,19, ?,217194, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+23937,49, Self-emp-not-inc,171540, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+23938,60, Self-emp-inc,210827, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+23939,28, Self-emp-not-inc,410351, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Poland, <=50K
+23940,26, Private,163747, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K
+23941,18, Private,108892, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+23942,43, Private,180096, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+23943,65, Local-gov,153890, 12th,8, Widowed, Exec-managerial, Not-in-family, White, Male,2009,0,44, United-States, <=50K
+23944,23, Private,117480, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,44, United-States, <=50K
+23945,21, Private,163333, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+23946,20, Self-emp-not-inc,306710, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+23947,19, Private,150553, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,18, Philippines, <=50K
+23948,77, Private,123959, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+23949,32, Private,24961, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+23950,37, Local-gov,327120, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+23951,29, Self-emp-not-inc,33798, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+23952,59, Private,81929, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K
+23953,22, Private,298489, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+23954,30, ?,101697, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+23955,31, Private,144064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+23956,59, Self-emp-not-inc,195835, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+23957,29, Federal-gov,184723, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, >50K
+23958,56, Private,265086, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+23959,19, Private,235909, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+23960,37, Private,42645, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+23961,58, State-gov,279878, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23962,41, Private,104892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+23963,29, Private,137063, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,38, United-States, <=50K
+23964,38, Self-emp-not-inc,58972, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+23965,36, Private,126675, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+23966,19, Private,286435, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K
+23967,46, Private,191389, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,28, United-States, >50K
+23968,42, Private,183241, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+23969,29, Private,91547, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23970,42, Private,52781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+23971,29, Private,210959, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+23972,47, Private,365516, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+23973,37, Private,112271, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+23974,39, Private,269455, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+23975,46, Private,164379, Bachelors,13, Divorced, Sales, Unmarried, Black, Female,0,0,35, United-States, >50K
+23976,28, Private,109621, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+23977,36, Private,104858, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, >50K
+23978,39, Private,99270, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+23979,44, Private,193524, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+23980,70, ?,149040, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2964,0,12, United-States, <=50K
+23981,60, State-gov,313946, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+23982,35, Private,162358, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+23983,59, Private,200700, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,48, United-States, >50K
+23984,21, Private,116489, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K
+23985,22, Private,118310, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,16, United-States, <=50K
+23986,31, Private,352465, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+23987,40, Private,107433, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+23988,33, Private,296538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+23989,41, Local-gov,195897, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+23990,31, Self-emp-not-inc,216283, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, >50K
+23991,62, Private,345780, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+23992,43, Private,216685, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K
+23993,28, Local-gov,210945, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,60, United-States, <=50K
+23994,43, Private,184321, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1887,40, United-States, >50K
+23995,55, Self-emp-not-inc,322691, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,55, United-States, >50K
+23996,42, Private,192712, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+23997,23, Private,178272, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+23998,55, Federal-gov,321333, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+23999,44, Self-emp-inc,120277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,45, United-States, >50K
+24000,19, Private,294029, 11th,7, Never-married, Sales, Own-child, Other, Female,0,0,32, Nicaragua, <=50K
+24001,23, Private,112819, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+24002,41, Private,152636, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K
+24003,63, ?,301611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+24004,51, Private,134808, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+24005,49, Private,64216, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,90, United-States, <=50K
+24006,29, State-gov,214284, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,20, Taiwan, <=50K
+24007,25, Private,469572, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K
+24008,44, Self-emp-not-inc,282722, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+24009,17, Private,231439, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+24010,42, Self-emp-inc,120277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24011,21, Private,364685, 11th,7, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K
+24012,26, Private,18827, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24013,24, Private,169129, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24014,30, Private,202051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+24015,58, ?,353244, Bachelors,13, Widowed, ?, Unmarried, White, Female,27828,0,50, United-States, >50K
+24016,19, Private,574271, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K
+24017,65, State-gov,29276, 7th-8th,4, Widowed, Other-service, Other-relative, White, Female,0,0,24, United-States, <=50K
+24018,52, Self-emp-not-inc,104501, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K
+24019,17, Private,394176, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+24020,27, Private,85625, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K
+24021,53, Private,340723, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24022,24, Private,149342, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24023,37, Private,73715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24024,34, Private,143083, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K
+24025,40, Local-gov,290660, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K
+24026,49, Local-gov,98738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24027,86, Private,149912, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24028,49, Private,309033, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,60, United-States, >50K
+24029,43, Self-emp-not-inc,96129, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+24030,47, Private,216096, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K
+24031,32, Private,171091, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+24032,30, Self-emp-not-inc,79303, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+24033,25, Local-gov,182380, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+24034,42, Private,36271, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24035,60, Private,118197, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+24036,46, Private,269652, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,38, United-States, >50K
+24037,39, Local-gov,193815, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+24038,28, Private,141957, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,70, United-States, >50K
+24039,26, Private,222637, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, Puerto-Rico, <=50K
+24040,27, Private,118230, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24041,59, Private,174040, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+24042,64, State-gov,105748, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+24043,90, Self-emp-not-inc,82628, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2964,0,12, United-States, <=50K
+24044,51, Private,205100, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, >50K
+24045,36, Private,107916, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K
+24046,39, Private,130620, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K
+24047,30, ?,361817, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+24048,47, Self-emp-not-inc,235646, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24049,32, Private,53277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+24050,24, Private,456460, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+24051,23, Private,293091, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+24052,62, Private,210935, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+24053,48, ?,199763, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+24054,62, ?,223447, 12th,8, Divorced, ?, Not-in-family, White, Male,0,0,40, Canada, <=50K
+24055,35, Self-emp-not-inc,233533, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K
+24056,27, Private,95647, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+24057,49, Private,199763, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K
+24058,18, Private,74539, 10th,6, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+24059,19, Private,84610, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+24060,63, Self-emp-inc,96930, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24061,54, Private,115602, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K
+24062,24, Private,237341, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+24063,61, Private,143800, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+24064,50, Self-emp-inc,163921, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+24065,36, Private,68273, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24066,21, Private,113163, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K
+24067,38, Self-emp-inc,478829, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K
+24068,30, Private,345705, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K
+24069,22, Private,385077, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,2907,0,40, United-States, <=50K
+24070,33, Private,192286, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,52, United-States, <=50K
+24071,39, Local-gov,236391, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K
+24072,42, Private,106679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+24073,47, ?,308242, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+24074,42, Local-gov,46094, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,33, United-States, <=50K
+24075,29, Private,194940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24076,35, Private,341643, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K
+24077,23, Private,210474, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+24078,28, Private,76313, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+24079,34, Private,115858, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24080,40, Private,55191, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24081,67, Self-emp-not-inc,364862, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+24082,49, Private,334787, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24083,34, Private,205733, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24084,60, ?,120163, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+24085,26, Private,333677, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,2463,0,35, United-States, <=50K
+24086,25, Private,208591, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+24087,40, Private,341204, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,1831,0,30, United-States, <=50K
+24088,56, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+24089,35, Self-emp-inc,111319, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K
+24090,54, Private,816750, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K
+24091,25, Private,167835, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K
+24092,28, Private,92262, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24093,31, Private,91964, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24094,45, Private,107682, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24095,52, State-gov,135388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+24096,39, Self-emp-not-inc,597843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Columbia, <=50K
+24097,19, Private,389942, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24098,23, Private,442274, 12th,8, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+24099,23, Private,595461, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+24100,52, Private,284329, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+24101,33, Self-emp-not-inc,127894, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+24102,35, Private,196899, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Haiti, <=50K
+24103,58, Private,212534, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24104,61, Private,71209, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+24105,39, Private,237943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K
+24106,38, Private,190759, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24107,59, Private,100313, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+24108,41, Private,344624, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+24109,27, ?,194024, 9th,5, Separated, ?, Unmarried, White, Female,0,0,50, United-States, <=50K
+24110,19, Private,87497, 11th,7, Never-married, Transport-moving, Other-relative, White, Male,0,0,10, United-States, <=50K
+24111,22, Private,236907, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+24112,59, Private,169639, Assoc-acdm,12, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+24113,37, Private,105803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K
+24114,31, Private,149507, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+24115,18, Private,294387, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24116,20, Private,161708, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+24117,28, Private,282389, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+24118,28, Private,64940, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+24119,49, Private,195727, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24120,38, Local-gov,37931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+24121,19, Private,170720, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+24122,43, Private,152958, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+24123,28, Private,312372, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,40, United-States, >50K
+24124,41, Private,39581, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,24, El-Salvador, <=50K
+24125,50, Private,206862, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+24126,46, Private,216934, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, Portugal, <=50K
+24127,20, Private,143062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+24128,45, Private,242391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+24129,28, Private,165030, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+24130,37, Private,199251, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+24131,46, Self-emp-not-inc,353012, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+24132,66, Private,174491, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+24133,35, ?,333305, Some-college,10, Married-civ-spouse, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+24134,38, Private,203138, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K
+24135,25, Private,220220, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K
+24136,55, Federal-gov,305850, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+24137,48, Local-gov,273402, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, <=50K
+24138,56, Private,201344, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K
+24139,47, Self-emp-not-inc,218676, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+24140,55, Self-emp-not-inc,141807, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24141,41, State-gov,222434, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+24142,47, Private,266860, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+24143,40, Private,34113, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,6849,0,43, United-States, <=50K
+24144,41, Private,159549, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24145,21, Private,195248, Some-college,10, Never-married, Sales, Own-child, Other, Female,0,0,20, United-States, <=50K
+24146,52, Private,109413, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24147,62, Private,195343, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,15020,0,50, United-States, >50K
+24148,46, Private,185291, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K
+24149,21, ?,140012, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+24150,35, Self-emp-not-inc,114366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+24151,29, Private,169631, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24152,21, Private,163870, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,3908,0,40, United-States, <=50K
+24153,35, Private,312232, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24154,46, Private,229737, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, India, >50K
+24155,70, ?,306563, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+24156,35, Private,161637, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, Taiwan, >50K
+24157,34, Private,106014, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+24158,21, Private,25265, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K
+24159,29, Private,71860, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+24160,41, Self-emp-inc,94113, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+24161,51, Self-emp-not-inc,208003, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24162,22, Private,113550, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24163,47, Private,83046, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24164,42, Self-emp-inc,277488, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K
+24165,19, Private,205830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, El-Salvador, <=50K
+24166,46, Private,273575, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,40, United-States, >50K
+24167,23, Private,245147, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+24168,49, Private,274720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+24169,58, Self-emp-not-inc,163047, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24170,41, State-gov,47902, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+24171,50, Private,128798, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+24172,77, Private,154205, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K
+24173,27, Private,176683, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+24174,29, Self-emp-inc,104737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+24175,54, Private,349340, Preschool,1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+24176,39, State-gov,218249, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K
+24177,32, Private,281540, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+24178,36, Federal-gov,112847, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+24179,24, Local-gov,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+24180,50, Self-emp-not-inc,145419, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K
+24181,32, Self-emp-not-inc,34572, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K
+24182,26, Private,104045, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24183,49, ?,57665, Bachelors,13, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+24184,38, Private,359001, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K
+24185,47, Private,105273, Bachelors,13, Widowed, Craft-repair, Unmarried, Black, Female,6497,0,40, United-States, <=50K
+24186,31, Private,201122, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24187,38, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+24188,50, Private,167886, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24189,18, Private,32059, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+24190,59, Self-emp-inc,200453, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24191,56, Self-emp-not-inc,403072, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+24192,34, Private,37210, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K
+24193,32, Private,199416, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+24194,29, Private,413227, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+24195,29, ?,188675, Some-college,10, Divorced, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+24196,42, Private,226902, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+24197,37, Private,195189, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24198,36, Private,116608, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24199,59, Private,99131, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+24200,32, Private,553405, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,50, United-States, >50K
+24201,52, Local-gov,186117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K
+24202,29, State-gov,67053, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K
+24203,39, Private,347960, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,35, United-States, >50K
+24204,39, Private,325374, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24205,69, Private,130413, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,2346,0,15, United-States, <=50K
+24206,43, Private,111949, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+24207,39, Private,278557, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,48, United-States, <=50K
+24208,19, Private,194905, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+24209,60, Local-gov,195453, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+24210,51, Private,282549, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137,0,40, United-States, <=50K
+24211,75, Private,316119, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K
+24212,37, State-gov,252939, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,5455,0,40, United-States, <=50K
+24213,24, State-gov,506329, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+24214,20, Private,316043, 11th,7, Never-married, Other-service, Own-child, Black, Male,594,0,20, United-States, <=50K
+24215,58, Federal-gov,319733, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K
+24216,21, State-gov,99199, Masters,14, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K
+24217,28, Private,204600, HS-grad,9, Separated, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K
+24218,40, Private,173307, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24219,45, Self-emp-not-inc,34446, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+24220,40, Self-emp-not-inc,237293, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K
+24221,41, Private,175642, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24222,58, Private,203735, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+24223,44, Local-gov,171589, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+24224,26, Private,197967, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+24225,29, Private,413297, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,45, Mexico, <=50K
+24226,45, Private,240841, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24227,23, Private,152189, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24228,39, State-gov,85874, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24229,45, Self-emp-not-inc,176814, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+24230,51, Local-gov,133336, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+24231,22, Private,362623, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+24232,67, ?,37170, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K
+24233,28, Private,30912, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+24234,23, Private,35448, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+24235,33, Private,173248, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K
+24236,37, Private,49626, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, <=50K
+24237,19, Private,102723, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24238,90, ?,166343, 1st-4th,2, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24239,35, Private,168322, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+24240,62, Private,131117, 7th-8th,4, Divorced, Tech-support, Unmarried, White, Female,0,0,38, Columbia, <=50K
+24241,20, ?,210474, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+24242,25, Private,110138, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24243,21, Private,107452, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+24244,32, Private,160594, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+24245,32, Local-gov,186784, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,45, United-States, <=50K
+24246,70, Local-gov,334666, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,12, United-States, <=50K
+24247,65, ?,191380, 10th,6, Married-civ-spouse, ?, Husband, White, Male,9386,0,50, United-States, >50K
+24248,57, Private,104272, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24249,31, Private,19491, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24250,37, Private,128715, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+24251,34, Private,128063, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+24252,26, Self-emp-not-inc,37023, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,78, United-States, <=50K
+24253,44, Private,68748, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+24254,66, Private,140576, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24255,39, Local-gov,327435, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+24256,31, Private,202729, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+24257,53, Private,277471, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+24258,36, Private,189670, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K
+24259,61, Private,204908, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24260,43, Private,171841, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24261,38, Private,78247, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24262,26, Private,68895, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, Mexico, <=50K
+24263,27, Private,56658, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K
+24264,58, Local-gov,259216, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24265,37, State-gov,270278, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,12, Puerto-Rico, <=50K
+24266,56, Private,238806, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,26, United-States, <=50K
+24267,36, Private,111128, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K
+24268,29, Private,119429, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24269,28, Private,73037, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K
+24270,61, Self-emp-not-inc,84409, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24271,66, Self-emp-not-inc,274451, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, >50K
+24272,31, Private,246439, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,50, United-States, >50K
+24273,21, Private,124242, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+24274,67, Self-emp-not-inc,123393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,6418,0,58, United-States, >50K
+24275,26, Private,159732, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24276,21, Private,161415, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24277,33, Private,157568, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24278,33, Private,168030, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+24279,59, State-gov,349910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,50, United-States, >50K
+24280,82, Self-emp-inc,130329, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+24281,34, State-gov,56964, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+24282,29, Private,370509, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, >50K
+24283,19, Private,106306, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+24284,57, Self-emp-not-inc,56480, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,1, United-States, <=50K
+24285,41, Private,115932, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+24286,55, Private,154580, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,2580,0,40, United-States, <=50K
+24287,27, Private,404421, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24288,33, Private,194901, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+24289,43, State-gov,164790, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,50, United-States, >50K
+24290,72, Federal-gov,94242, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K
+24291,68, Self-emp-not-inc,365020, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24292,29, Private,160512, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24293,41, Private,170331, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+24294,30, Private,101266, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+24295,31, Private,100252, Bachelors,13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,99999,0,70, United-States, >50K
+24296,54, Private,217718, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,30, Haiti, <=50K
+24297,32, Private,170154, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,25236,0,50, United-States, >50K
+24298,56, Private,105281, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,1974,40, United-States, <=50K
+24299,39, ?,361838, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,6, United-States, >50K
+24300,41, State-gov,283917, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+24301,48, Private,39530, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24302,66, Self-emp-not-inc,212185, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K
+24303,25, Self-emp-inc,90752, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+24304,31, Private,202450, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1573,40, United-States, <=50K
+24305,32, Private,168138, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,2597,0,48, United-States, <=50K
+24306,51, Private,159755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+24307,42, Private,191765, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,2339,40, Trinadad&Tobago, <=50K
+24308,22, ?,210802, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+24309,31, Private,340880, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+24310,43, Self-emp-not-inc,113211, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+24311,42, Private,134509, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24312,20, State-gov,147280, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,40, United-States, <=50K
+24313,40, Private,145441, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24314,65, Private,398001, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+24315,53, Private,31588, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K
+24316,56, Private,189975, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,60, United-States, >50K
+24317,51, State-gov,231495, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K
+24318,38, ?,121135, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+24319,44, Private,186916, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+24320,49, Self-emp-inc,213140, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K
+24321,47, Private,176893, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,8614,0,44, United-States, >50K
+24322,22, Private,115244, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+24323,53, Private,313243, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,2444,45, United-States, >50K
+24324,41, Local-gov,169995, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K
+24325,19, Private,198459, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,2001,40, United-States, <=50K
+24326,27, Local-gov,66824, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,3325,0,43, United-States, <=50K
+24327,48, Self-emp-not-inc,52240, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K
+24328,52, Private,35305, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,7, United-States, <=50K
+24329,61, State-gov,186451, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+24330,45, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K
+24331,29, Private,210464, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24332,41, Private,207685, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,21, United-States, <=50K
+24333,38, Private,233717, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,60, United-States, <=50K
+24334,32, Private,222205, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+24335,37, Private,167613, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24336,55, Private,148773, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24337,62, Local-gov,68268, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24338,48, Private,174533, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24339,43, Private,273230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+24340,25, Private,187502, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,24, United-States, <=50K
+24341,47, Private,209320, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24342,49, Self-emp-not-inc,56841, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K
+24343,55, Private,254627, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24344,42, Private,42703, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24345,40, Private,374137, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+24346,34, Private,196385, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24347,38, Private,192930, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,10, United-States, <=50K
+24348,39, Private,99527, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24349,45, Private,185437, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Female,0,0,55, United-States, <=50K
+24350,43, Private,247162, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+24351,32, Federal-gov,131534, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24352,18, Private,184693, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, Mexico, <=50K
+24353,27, Private,704108, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24354,57, Private,220262, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24355,38, Private,95654, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K
+24356,67, Private,89346, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24357,26, Private,94392, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+24358,21, Private,334113, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+24359,17, Private,32763, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+24360,31, Private,136651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+24361,51, Self-emp-not-inc,240236, Assoc-acdm,12, Separated, Sales, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+24362,29, Private,53271, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24363,28, Private,31493, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K
+24364,32, Private,195891, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+24365,31, Local-gov,209103, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3464,0,45, United-States, <=50K
+24366,26, Private,211424, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+24367,28, Local-gov,84657, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24368,40, Private,151408, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24369,51, Private,106819, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,19, United-States, <=50K
+24370,62, Private,132917, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K
+24371,54, Private,146834, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+24372,55, Private,164332, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K
+24373,24, Private,30656, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K
+24374,27, Private,113501, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,45, United-States, <=50K
+24375,18, Private,165316, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+24376,22, Private,233955, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,14344,0,40, United-States, >50K
+24377,21, Private,126613, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24378,44, Self-emp-not-inc,361280, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,80, Philippines, >50K
+24379,50, ?,123044, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K
+24380,38, Private,165472, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24381,39, Private,99452, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+24382,27, Private,84977, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24383,35, Private,240458, 11th,7, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24384,51, Private,230858, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,60, United-States, >50K
+24385,60, Private,123218, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24386,62, ?,191118, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,7298,0,40, United-States, >50K
+24387,38, Private,115289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24388,37, Private,373895, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+24389,43, Private,152617, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24390,49, State-gov,72619, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+24391,17, Private,41865, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+24392,32, Private,190228, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K
+24393,23, Private,193090, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K
+24394,28, Private,138692, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+24395,83, Self-emp-inc,153183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,55, United-States, >50K
+24396,25, Private,181896, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24397,42, Private,268183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,60, United-States, <=50K
+24398,46, Local-gov,213668, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24399,29, Private,99369, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,50, United-States, <=50K
+24400,44, Private,104196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+24401,60, Self-emp-not-inc,176839, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+24402,30, Local-gov,99502, Assoc-voc,11, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+24403,24, Private,183410, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,17, United-States, <=50K
+24404,17, Private,25690, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+24405,76, ?,201986, 11th,7, Widowed, ?, Other-relative, White, Female,0,0,16, United-States, <=50K
+24406,31, Private,188961, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+24407,52, Private,114971, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24408,39, Private,121468, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K
+24409,73, Self-emp-inc,191540, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+24410,38, Private,146398, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,24, United-States, <=50K
+24411,48, Private,193553, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+24412,60, Private,121127, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24413,26, Private,389856, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24414,20, Private,290504, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+24415,54, State-gov,137065, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+24416,50, Local-gov,212685, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+24417,20, Private,71475, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24418,23, Private,111450, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,22, United-States, <=50K
+24419,35, Private,225860, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24420,43, Private,129853, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24421,50, Private,99925, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,32, United-States, <=50K
+24422,58, Private,227800, 1st-4th,2, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+24423,55, State-gov,111130, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+24424,29, Private,100764, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+24425,47, Private,275095, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24426,39, Private,147500, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K
+24427,63, Local-gov,150079, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+24428,27, Private,140863, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+24429,62, ?,199198, 11th,7, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24430,38, Private,193372, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+24431,25, Private,196771, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,65, United-States, <=50K
+24432,31, Private,231826, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, Mexico, <=50K
+24433,40, Federal-gov,196456, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24434,42, Private,34037, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24435,52, Private,174964, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24436,46, Private,91608, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+24437,31, Private,403468, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,50, Mexico, <=50K
+24438,33, Private,112900, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+24439,58, Private,242670, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24440,52, Local-gov,187830, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,4934,0,36, United-States, >50K
+24441,25, Self-emp-not-inc,368115, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,35, United-States, >50K
+24442,54, Private,343242, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24443,46, Private,113390, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,60, United-States, <=50K
+24444,28, Private,200733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24445,24, Self-emp-not-inc,236769, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24446,39, Private,22494, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24447,60, Federal-gov,129379, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+24448,22, Private,239098, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+24449,27, Private,167501, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+24450,35, Private,77146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+24451,47, Private,82797, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+24452,33, Self-emp-not-inc,134886, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+24453,40, Self-emp-inc,218558, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+24454,38, Private,207568, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+24455,26, Private,196899, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+24456,54, Self-emp-not-inc,200960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+24457,39, Private,188069, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K
+24458,60, Private,232337, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24459,32, Private,98656, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24460,19, State-gov,194260, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+24461,49, ?,481987, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+24462,31, Private,234976, 11th,7, Never-married, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+24463,29, Private,349116, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+24464,39, Private,175390, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24465,42, Private,187720, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, ?, >50K
+24466,26, Private,214637, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+24467,27, Private,185127, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+24468,52, Private,98752, 9th,5, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24469,50, Local-gov,218382, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24470,51, Private,153486, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+24471,51, Federal-gov,174102, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+24472,40, Private,137142, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24473,61, Private,241013, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24474,35, Private,267798, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+24475,41, ?,152880, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,28, United-States, <=50K
+24476,31, Private,263561, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24477,43, Private,113324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+24478,20, Private,39764, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+24479,35, Private,172186, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24480,30, Private,460408, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1672,45, United-States, <=50K
+24481,42, Self-emp-not-inc,185129, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+24482,51, Private,61270, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+24483,39, Self-emp-inc,124685, Masters,14, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,99, Japan, >50K
+24484,69, Self-emp-not-inc,76968, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+24485,63, ?,310396, 9th,5, Married-civ-spouse, ?, Husband, White, Male,5178,0,40, United-States, >50K
+24486,29, Federal-gov,37933, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,2174,0,40, United-States, <=50K
+24487,21, Private,38772, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+24488,24, Private,172496, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K
+24489,55, Private,306164, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+24490,42, Self-emp-not-inc,33795, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+24491,48, Private,47686, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+24492,31, Private,193132, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,42, United-States, <=50K
+24493,52, Private,400004, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24494,30, Private,101283, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24495,29, Private,192384, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24496,32, Private,113838, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+24497,47, Private,278322, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+24498,56, Private,199713, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24499,40, Private,236021, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24500,20, Private,138938, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K
+24501,36, Private,126946, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24502,45, Private,44791, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24503,38, Private,31964, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+24504,60, State-gov,352156, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24505,70, Self-emp-not-inc,205860, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+24506,21, Private,113106, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+24507,57, Private,89182, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24508,33, Private,250782, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+24509,37, Private,193855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, <=50K
+24510,50, Self-emp-not-inc,132716, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+24511,68, Private,218637, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2377,55, United-States, >50K
+24512,28, Private,177955, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K
+24513,32, Private,198660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24514,30, Private,207937, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,10520,0,50, United-States, >50K
+24515,18, Private,168740, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+24516,45, Private,199625, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K
+24517,22, Private,213902, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K
+24518,38, Private,208379, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,8, United-States, <=50K
+24519,37, Private,113120, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24520,23, Private,57827, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24521,59, Private,515712, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24522,48, Self-emp-inc,54190, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+24523,53, Self-emp-inc,134793, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+24524,18, Private,396270, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K
+24525,30, Private,231620, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+24526,50, Private,174655, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+24527,63, ?,97823, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+24528,38, Self-emp-not-inc,344480, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K
+24529,48, Private,176732, 9th,5, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24530,60, Private,143932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24531,46, Private,551962, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,50, Peru, <=50K
+24532,30, ?,298577, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+24533,39, Private,257942, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+24534,55, Local-gov,253062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24535,17, Private,193748, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+24536,46, Private,368561, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+24537,50, Private,192964, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,65, United-States, <=50K
+24538,32, Private,217304, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+24539,18, Private,120029, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+24540,34, Private,62124, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24541,50, Private,94885, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+24542,32, Private,192565, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+24543,23, Local-gov,220912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24544,26, Private,184120, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24545,46, Private,140782, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+24546,43, Self-emp-inc,170785, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+24547,32, Private,90705, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+24548,37, State-gov,108293, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+24549,48, Private,168283, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+24550,28, Private,339372, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+24551,43, Private,193672, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24552,51, Local-gov,143865, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+24553,30, Private,209317, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, Dominican-Republic, <=50K
+24554,34, State-gov,204461, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+24555,34, Private,137088, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+24556,41, Private,149102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+24557,53, Private,182855, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+24558,42, Private,572751, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K
+24559,18, Private,83451, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+24560,81, Private,98116, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+24561,40, Private,119225, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+24562,26, Private,134888, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K
+24563,20, Private,745817, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,15, United-States, <=50K
+24564,41, Private,88368, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+24565,49, State-gov,122066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+24566,22, Private,363219, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+24567,46, Private,84402, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+24568,56, Private,34626, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,1980,40, United-States, <=50K
+24569,35, Private,150042, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+24570,34, Private,48014, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+24571,29, Local-gov,177398, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+24572,28, Private,373698, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, <=50K
+24573,35, Private,422933, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K
+24574,29, Private,131088, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24575,21, Private,178255, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, Columbia, <=50K
+24576,52, Self-emp-not-inc,129311, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,95, United-States, >50K
+24577,45, Private,473171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24578,43, Private,236985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+24579,35, ?,226379, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,25, United-States, <=50K
+24580,21, ?,277700, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+24581,35, Private,207568, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+24582,30, Private,85708, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+24583,45, Private,98765, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Canada, <=50K
+24584,29, Private,192283, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K
+24585,29, State-gov,271012, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+24586,33, Private,189265, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24587,17, Private,321880, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K
+24588,52, Private,177465, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+24589,24, Private,127647, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+24590,32, State-gov,119033, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+24591,40, Private,289748, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,48, United-States, <=50K
+24592,32, Private,209317, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K
+24593,33, Private,284531, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24594,30, Private,251120, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+24595,28, Private,113870, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24596,62, Without-pay,170114, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+24597,46, Local-gov,121124, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, United-States, >50K
+24598,32, Private,328199, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K
+24599,26, Private,206307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24600,41, Self-emp-inc,236021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+24601,57, Federal-gov,170603, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+24602,52, Private,74275, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K
+24603,35, Self-emp-not-inc,112271, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+24604,19, Private,118306, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+24605,49, Private,126754, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+24606,47, Private,267205, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, >50K
+24607,38, Private,205359, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,32, United-States, <=50K
+24608,30, Private,398662, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+24609,32, Private,202498, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Columbia, <=50K
+24610,32, Private,105650, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+24611,46, Private,191204, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+24612,22, Private,56582, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24613,47, Local-gov,51579, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+24614,57, Self-emp-not-inc,152030, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, >50K
+24615,47, Private,227310, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24616,41, Private,55854, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K
+24617,36, Local-gov,28996, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24618,32, Private,160634, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+24619,37, Private,222450, 11th,7, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+24620,36, Self-emp-inc,180419, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+24621,64, Private,116084, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,40, United-States, <=50K
+24622,17, Private,202521, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+24623,23, Private,186014, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+24624,40, Private,88368, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,914,0,40, United-States, <=50K
+24625,42, State-gov,190044, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+24626,37, Self-emp-not-inc,35330, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K
+24627,35, Federal-gov,84848, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+24628,56, Self-emp-not-inc,176280, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24629,52, Private,145271, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+24630,37, Local-gov,108320, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+24631,48, State-gov,106377, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K
+24632,24, Private,258730, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, Japan, <=50K
+24633,33, Private,58305, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24634,39, Private,341672, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+24635,34, Private,176648, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,42, United-States, <=50K
+24636,24, ?,32616, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24637,23, Private,481175, Some-college,10, Never-married, Exec-managerial, Own-child, Other, Male,0,0,24, Peru, <=50K
+24638,49, Private,187454, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,65, United-States, >50K
+24639,18, Private,25837, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+24640,20, Private,385077, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+24641,54, Private,68985, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+24642,19, Private,181572, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+24643,53, Private,23698, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K
+24644,34, ?,268127, 12th,8, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24645,28, Private,162298, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+24646,35, Private,144608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24647,20, Private,250630, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+24648,31, Private,150441, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+24649,37, Private,189251, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+24650,64, Private,260082, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K
+24651,42, Private,139126, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+24652,27, Private,50132, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24653,36, Self-emp-not-inc,167691, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+24654,36, Private,77820, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+24655,23, Private,156513, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+24656,46, Private,248059, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,40, United-States, <=50K
+24657,24, Private,283092, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,35, Jamaica, <=50K
+24658,22, Private,175883, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24659,62, Private,232308, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24660,19, Private,269991, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K
+24661,20, Private,305446, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+24662,47, Private,120781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K
+24663,57, Private,78707, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24664,19, Private,351802, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K
+24665,37, Local-gov,196529, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+24666,35, Self-emp-inc,175769, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+24667,17, Private,153021, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+24668,36, Local-gov,331902, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+24669,50, Private,279461, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+24670,35, Private,145704, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3942,0,35, United-States, <=50K
+24671,27, State-gov,205499, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,77, United-States, <=50K
+24672,28, Private,293926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,30, United-States, <=50K
+24673,29, Self-emp-not-inc,69132, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,60, United-States, >50K
+24674,25, Private,113099, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24675,47, Self-emp-inc,206947, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,67, United-States, <=50K
+24676,29, State-gov,159782, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+24677,19, Private,410543, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24678,49, Private,34446, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24679,31, Private,209101, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K
+24680,43, Federal-gov,95902, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K
+24681,56, Self-emp-not-inc,214323, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24682,42, Private,236323, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+24683,45, Federal-gov,201127, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K
+24684,40, Private,142886, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+24685,44, Private,77313, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+24686,17, ?,212125, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+24687,36, Private,187098, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24688,19, Private,196857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+24689,53, Local-gov,155314, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+24690,72, Self-emp-not-inc,203289, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+24691,46, Private,117059, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+24692,33, Private,178587, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K
+24693,22, Private,82393, 9th,5, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+24694,17, ?,145258, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K
+24695,41, Private,185145, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, ?, >50K
+24696,46, Private,72896, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K
+24697,33, Private,134886, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+24698,32, Private,223212, Preschool,1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+24699,52, Self-emp-not-inc,174752, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24700,27, Private,230563, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24701,48, State-gov,353824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K
+24702,22, Private,117363, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+24703,25, Private,285367, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24704,60, ?,139391, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,42, United-States, <=50K
+24705,38, Private,198170, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24706,37, Private,38948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+24707,49, Private,188515, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+24708,40, Self-emp-not-inc,177810, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+24709,48, Private,188432, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,46, United-States, >50K
+24710,31, Private,178506, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24711,40, Self-emp-not-inc,129298, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K
+24712,25, Private,165315, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K
+24713,68, Private,117236, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,45, United-States, >50K
+24714,18, ?,172214, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K
+24715,19, Private,63434, 12th,8, Never-married, Farming-fishing, Own-child, White, Female,0,0,30, United-States, <=50K
+24716,35, Self-emp-inc,140854, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+24717,28, Private,133043, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+24718,53, Private,113176, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,2597,0,40, United-States, <=50K
+24719,33, Private,259301, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,41, United-States, <=50K
+24720,20, Private,196643, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+24721,45, Self-emp-not-inc,364365, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+24722,36, Private,269318, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+24723,34, Private,108454, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+24724,32, Private,171637, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24725,19, Private,183589, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K
+24726,24, Private,107801, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24727,34, Private,179877, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+24728,32, Private,168981, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K
+24729,37, Private,120590, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+24730,31, Private,310773, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K
+24731,21, Private,197050, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+24732,47, Private,159726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K
+24733,23, Private,210797, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24734,33, Private,55291, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24735,60, ?,141221, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,2163,25, South, <=50K
+24736,17, Private,276718, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+24737,67, Private,336163, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,24, United-States, <=50K
+24738,57, Private,112840, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+24739,17, Private,165918, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, Peru, <=50K
+24740,53, Private,165745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24741,25, Self-emp-not-inc,259299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,50, United-States, >50K
+24742,24, State-gov,197731, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,49, United-States, >50K
+24743,48, Self-emp-not-inc,197702, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24744,51, Private,162238, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,47, United-States, >50K
+24745,38, Private,213260, HS-grad,9, Separated, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+24746,51, Private,53833, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K
+24747,18, Private,89419, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K
+24748,23, Private,119704, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+24749,42, Private,433170, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+24750,34, Private,182714, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, ?, <=50K
+24751,39, Private,172538, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+24752,20, ?,220115, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K
+24753,39, Private,158956, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24754,21, Self-emp-not-inc,25631, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+24755,26, Private,476558, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+24756,54, Federal-gov,35576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24757,34, Private,203463, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24758,32, State-gov,317647, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+24759,59, Self-emp-not-inc,170411, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24760,24, ?,174182, 11th,7, Married-civ-spouse, ?, Wife, Other, Female,0,0,24, United-States, <=50K
+24761,54, Private,220055, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+24762,54, Private,231482, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24763,67, Private,335979, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,991,0,18, United-States, <=50K
+24764,33, Private,279173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+24765,37, Private,89559, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+24766,47, Private,161950, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,25, Germany, <=50K
+24767,51, Private,131068, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24768,45, Private,219632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24769,19, Private,175507, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+24770,58, Self-emp-inc,182062, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K
+24771,27, Private,287476, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,3325,0,40, United-States, <=50K
+24772,36, Private,206253, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,1617,40, United-States, <=50K
+24773,20, ?,189203, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24774,51, Private,21698, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24775,45, Self-emp-not-inc,328051, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+24776,32, Private,356689, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,3887,0,40, United-States, <=50K
+24777,59, Private,121865, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24778,45, Self-emp-not-inc,420986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+24779,43, ?,218558, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+24780,54, Private,288992, 10th,6, Divorced, Prof-specialty, Unmarried, White, Male,14344,0,68, United-States, >50K
+24781,20, ?,189740, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K
+24782,29, Local-gov,188909, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,42, United-States, <=50K
+24783,28, Private,213081, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K
+24784,18, Self-emp-not-inc,157131, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+24785,49, Private,98010, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+24786,46, Private,207677, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+24787,58, ?,361870, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K
+24788,56, Private,266091, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K
+24789,41, Private,106627, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, <=50K
+24790,50, Self-emp-inc,167793, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K
+24791,74, Self-emp-not-inc,206682, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1648,35, United-States, <=50K
+24792,30, Private,243165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24793,62, Private,201928, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24794,19, Private,128346, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+24795,29, Private,197288, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+24796,20, ?,169184, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K
+24797,36, Private,245521, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K
+24798,36, Private,129591, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24799,51, Local-gov,47415, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1628,30, United-States, <=50K
+24800,37, Self-emp-not-inc,188563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K
+24801,29, Self-emp-not-inc,184710, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24802,17, Private,63734, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+24803,18, Private,111256, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+24804,40, Self-emp-inc,111483, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+24805,26, Self-emp-inc,266639, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24806,42, Self-emp-not-inc,93853, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+24807,32, Private,184207, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24808,33, Private,238002, 9th,5, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K
+24809,28, ?,30237, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+24810,43, Private,196545, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, >50K
+24811,47, Private,144844, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24812,37, Private,280500, Some-college,10, Never-married, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K
+24813,73, ?,135601, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+24814,37, Private,409189, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, Mexico, <=50K
+24815,50, Private,23686, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, >50K
+24816,19, Private,229756, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+24817,32, Local-gov,95530, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24818,44, Local-gov,73199, Assoc-voc,11, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+24819,20, Private,196745, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+24820,29, Private,79481, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24821,21, ?,116934, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+24822,34, Private,100950, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, <=50K
+24823,44, Local-gov,56651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K
+24824,18, Private,186954, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+24825,22, Private,264874, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K
+24826,39, State-gov,183092, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+24827,26, Local-gov,273399, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, Peru, <=50K
+24828,29, ?,142443, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+24829,21, Private,177526, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+24830,49, Local-gov,31267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+24831,24, Private,321666, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+24832,26, Private,331861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, ?, <=50K
+24833,25, Private,283515, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K
+24834,30, Private,54608, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+24835,52, Private,162238, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+24836,30, Private,175931, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24837,20, Private,236804, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24838,31, Private,168782, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24839,44, Private,227065, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+24840,46, Self-emp-inc,285335, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+24841,31, Private,259705, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K
+24842,57, Private,24384, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K
+24843,58, Private,322013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24844,41, Private,49797, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24845,23, Private,52566, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24846,47, Private,266275, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+24847,72, Self-emp-not-inc,285408, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2246,28, United-States, >50K
+24848,26, Self-emp-not-inc,177858, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1876,38, United-States, <=50K
+24849,45, Federal-gov,183804, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+24850,48, Private,107231, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+24851,23, Private,173679, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24852,20, Local-gov,163965, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24853,18, Private,173585, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, Peru, <=50K
+24854,27, Private,172009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24855,25, Private,44363, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K
+24856,45, Private,246392, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K
+24857,53, Private,167033, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+24858,54, Private,143822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+24859,41, Private,37869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+24860,23, Private,447488, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, Mexico, <=50K
+24861,17, Private,239346, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K
+24862,42, Private,245975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24863,61, Private,34632, 12th,8, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24864,57, Private,121362, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,2258,38, United-States, >50K
+24865,21, State-gov,24008, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+24866,44, Private,165492, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24867,48, Private,326048, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Male,0,0,44, United-States, <=50K
+24868,46, Private,250821, Prof-school,15, Divorced, Farming-fishing, Unmarried, White, Male,0,0,48, United-States, <=50K
+24869,37, Self-emp-not-inc,154641, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,86, United-States, <=50K
+24870,35, Private,198202, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,54, United-States, <=50K
+24871,27, Local-gov,170504, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24872,28, Private,191342, Some-college,10, Never-married, Sales, Not-in-family, Other, Male,0,0,40, India, <=50K
+24873,19, Private,238969, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+24874,63, Self-emp-not-inc,344128, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+24875,69, ?,148694, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24876,69, ?,180187, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,6, Italy, <=50K
+24877,36, State-gov,168894, Assoc-voc,11, Married-spouse-absent, Protective-serv, Own-child, White, Female,0,0,40, Germany, <=50K
+24878,20, Private,203263, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+24879,28, State-gov,89564, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K
+24880,58, Private,97562, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,38, United-States, <=50K
+24881,48, Private,336540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+24882,39, Private,139647, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,56, United-States, <=50K
+24883,38, Private,160192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,44, United-States, <=50K
+24884,50, Local-gov,320386, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24885,35, Private,32126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24886,45, Self-emp-not-inc,275445, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K
+24887,38, Self-emp-inc,54953, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+24888,54, Private,103580, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, >50K
+24889,42, Private,245565, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,12, England, <=50K
+24890,32, Private,39223, 10th,6, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, ?, <=50K
+24891,55, State-gov,117357, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,70, ?, >50K
+24892,63, Private,207385, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+24893,21, Private,355287, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, Mexico, <=50K
+24894,62, ?,141218, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K
+24895,46, Local-gov,207677, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+24896,43, Private,102114, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24897,35, Self-emp-not-inc,60269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+24898,37, Private,278632, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24899,51, Private,355551, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,45, Mexico, <=50K
+24900,45, Private,246891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, Canada, >50K
+24901,19, Private,124486, 12th,8, Never-married, Other-service, Own-child, White, Male,0,1602,20, United-States, <=50K
+24902,61, ?,202106, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1902,40, United-States, >50K
+24903,61, Private,191417, 9th,5, Widowed, Exec-managerial, Not-in-family, Black, Male,0,0,65, United-States, <=50K
+24904,21, Private,184543, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24905,45, Private,122206, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+24906,38, Private,229015, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+24907,28, Private,130067, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+24908,40, Local-gov,306495, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+24909,32, Private,232855, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24910,55, Local-gov,171328, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+24911,64, Private,144182, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,23, United-States, <=50K
+24912,34, Private,102858, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+24913,19, ?,199495, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+24914,58, Private,209438, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24915,46, Private,74895, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,55, United-States, <=50K
+24916,44, Private,184378, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24917,31, Private,446512, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24918,31, Federal-gov,113688, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+24919,39, Private,333305, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K
+24920,19, Private,118535, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K
+24921,56, Private,76142, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+24922,53, Local-gov,38795, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+24923,68, Private,208478, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,18, ?, <=50K
+24924,69, Private,203313, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,991,0,18, United-States, <=50K
+24925,62, Private,247483, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+24926,62, State-gov,198686, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24927,39, Private,56118, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+24928,45, Federal-gov,359808, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24929,29, Private,231554, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, <=50K
+24930,33, Private,34848, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+24931,34, Private,199934, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298,0,40, United-States, >50K
+24932,29, Private,196243, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24933,65, Self-emp-inc,66360, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418,0,35, United-States, >50K
+24934,18, Private,189487, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+24935,22, Private,194848, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+24936,30, Private,167309, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K
+24937,44, Private,192878, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+24938,48, Private,70209, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K
+24939,52, Federal-gov,123011, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+24940,53, Self-emp-not-inc,135339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,20, China, >50K
+24941,48, Federal-gov,497486, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K
+24942,25, Private,178478, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+24943,41, Private,149909, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+24944,37, Private,103323, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24945,55, Private,239404, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K
+24946,67, Private,165082, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+24947,36, Private,389725, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+24948,47, Private,374580, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K
+24949,36, ?,187983, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+24950,25, Private,259300, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K
+24951,19, Private,277695, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,16, Mexico, <=50K
+24952,24, Private,230248, 7th-8th,4, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+24953,30, Self-emp-not-inc,196342, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+24954,17, Private,160968, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,16, United-States, <=50K
+24955,28, Private,115438, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+24956,34, Private,231043, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,45, United-States, <=50K
+24957,35, Private,129597, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, <=50K
+24958,24, Local-gov,387108, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+24959,43, Private,105936, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K
+24960,20, Private,107242, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, ?, <=50K
+24961,55, Private,125000, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K
+24962,22, Private,229456, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, United-States, <=50K
+24963,20, Private,230113, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+24964,44, Private,106698, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+24965,38, Private,133454, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24966,53, Private,295520, 9th,5, Widowed, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K
+24967,26, Private,151551, Some-college,10, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male,2597,0,48, United-States, <=50K
+24968,58, Private,100313, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K
+24969,23, Private,320294, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+24970,53, Private,162381, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+24971,35, Private,183898, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,2354,0,40, United-States, <=50K
+24972,41, Self-emp-inc,32016, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K
+24973,31, Private,117028, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24974,50, Private,280278, HS-grad,9, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+24975,57, Private,342906, 9th,5, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, >50K
+24976,25, Private,181598, 11th,7, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+24977,23, Private,224059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+24978,48, Private,148549, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+24979,34, Private,97355, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+24980,37, Private,154571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+24981,43, Self-emp-inc,140988, Bachelors,13, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,45, India, <=50K
+24982,20, Private,148409, Some-college,10, Never-married, Sales, Other-relative, White, Male,1055,0,20, United-States, <=50K
+24983,40, Local-gov,150755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,75, United-States, >50K
+24984,27, Private,87006, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1579,40, United-States, <=50K
+24985,35, Private,112158, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24986,33, Private,121488, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24987,57, State-gov,283635, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24988,43, Private,69758, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+24989,40, Private,199900, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,55, United-States, >50K
+24990,54, Private,88019, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+24991,28, Private,31935, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+24992,32, Private,323055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24993,49, Private,189498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+24994,52, Private,89041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+24995,41, Private,112507, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+24996,19, Private,236940, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+24997,33, Private,278514, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,42, United-States, <=50K
+24998,21, ?,433330, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+24999,25, Private,258379, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, <=50K
+25000,44, Private,162028, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K
+25001,20, Private,197997, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+25002,46, Private,98350, 10th,6, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,37, China, <=50K
+25003,39, Private,165848, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+25004,34, Private,178615, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25005,19, Private,228939, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+25006,27, Private,210498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+25007,53, Private,154891, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+25008,46, Private,165937, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+25009,23, ?,138768, Bachelors,13, Never-married, ?, Own-child, White, Male,2907,0,40, United-States, <=50K
+25010,39, Private,160120, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+25011,30, Private,382368, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+25012,53, Private,123011, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+25013,33, Private,119033, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+25014,22, Private,496856, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+25015,44, Private,194049, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+25016,30, Private,299223, Some-college,10, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+25017,66, Private,174788, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+25018,39, Private,176101, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25019,37, Private,38948, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+25020,34, Private,271933, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K
+25021,17, Private,122041, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+25022,43, Private,115932, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K
+25023,46, Private,265105, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+25024,17, Private,100828, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+25025,60, Private,121319, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, Poland, <=50K
+25026,63, Private,308028, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K
+25027,42, Private,213214, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+25028,30, Private,348618, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K
+25029,33, Private,275632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+25030,43, Private,239161, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+25031,20, Private,215495, 9th,5, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, Mexico, <=50K
+25032,30, Private,214063, Some-college,10, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,72, United-States, <=50K
+25033,37, Private,122493, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+25034,33, ?,211699, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+25035,49, Self-emp-not-inc,175622, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+25036,65, Private,153522, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,17, United-States, <=50K
+25037,35, Private,258339, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+25038,27, Private,119793, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25039,33, Private,133503, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K
+25040,18, Private,162840, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+25041,41, Local-gov,67671, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+25042,38, Private,188888, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1340,40, United-States, <=50K
+25043,45, Private,140644, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25044,18, ?,126154, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+25045,33, Private,245659, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,38, El-Salvador, <=50K
+25046,28, Private,129624, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, ?, <=50K
+25047,47, Private,104068, HS-grad,9, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+25048,30, Private,337908, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,20, United-States, <=50K
+25049,36, Private,161141, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+25050,21, Private,162228, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+25051,44, Private,116391, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25052,33, Private,314310, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+25053,61, ?,394534, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,6, United-States, <=50K
+25054,29, Private,308136, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25055,45, Private,194698, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25056,18, ?,67793, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,60, United-States, <=50K
+25057,29, Local-gov,302422, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,1564,56, United-States, >50K
+25058,27, Private,289147, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+25059,21, Private,229826, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K
+25060,22, ?,154235, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3781,0,35, United-States, <=50K
+25061,49, Self-emp-inc,246739, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+25062,35, Private,188041, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+25063,47, Private,187440, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+25064,37, Local-gov,105266, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+25065,37, Private,249208, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K
+25066,26, Private,203492, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25067,18, ?,71076, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+25068,55, Federal-gov,146477, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+25069,47, Private,201699, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K
+25070,59, Private,205949, HS-grad,9, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+25071,70, Private,90245, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K
+25072,53, Federal-gov,177647, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, France, >50K
+25073,39, Private,126494, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+25074,38, Private,257735, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+25075,33, Private,1161363, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,50, Columbia, <=50K
+25076,19, ?,257343, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+25077,28, Private,221452, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25078,74, Private,260669, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,1, United-States, <=50K
+25079,40, Private,192344, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+25080,35, Private,80479, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25081,35, Self-emp-not-inc,108808, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+25082,41, Private,175674, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+25083,38, Private,272950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+25084,29, Self-emp-not-inc,160786, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K
+25085,46, Self-emp-not-inc,122206, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+25086,46, Private,121168, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25087,40, Private,209547, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+25088,29, Federal-gov,244473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+25089,39, Private,176296, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,60, United-States, <=50K
+25090,31, Private,91666, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K
+25091,50, Local-gov,191025, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4650,0,70, United-States, <=50K
+25092,31, State-gov,63704, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25093,27, Private,31659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+25094,27, Private,191230, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,25, United-States, <=50K
+25095,28, Private,56340, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+25096,21, Private,221157, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K
+25097,57, Local-gov,143910, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25098,56, Local-gov,435836, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25099,22, ?,61499, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25100,48, Private,209182, Preschool,1, Separated, Other-service, Unmarried, White, Female,0,0,40, El-Salvador, <=50K
+25101,36, Self-emp-inc,107218, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K
+25102,51, Private,55500, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+25103,39, Local-gov,357962, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K
+25104,43, Private,200355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K
+25105,38, Private,320451, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+25106,51, Local-gov,184542, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25107,43, State-gov,206927, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+25108,44, Private,54310, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+25109,35, Private,208165, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+25110,40, Private,146908, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+25111,39, Private,318416, 10th,6, Separated, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K
+25112,47, Self-emp-inc,207540, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+25113,23, Private,69911, Preschool,1, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+25114,26, Private,305304, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25115,25, Local-gov,295289, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+25116,29, Private,275110, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,42, United-States, <=50K
+25117,30, Private,339773, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+25118,57, State-gov,399246, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,1485,40, China, <=50K
+25119,37, Self-emp-inc,51264, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+25120,39, Private,49020, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,48, United-States, >50K
+25121,37, Private,178100, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+25122,45, ?,215943, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+25123,21, Private,176178, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+25124,25, State-gov,180884, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+25125,61, State-gov,130466, HS-grad,9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+25126,59, Private,328525, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2414,0,15, United-States, <=50K
+25127,28, Private,142712, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+25128,24, Private,176321, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25129,47, Private,145041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, >50K
+25130,29, Private,95423, HS-grad,9, Married-AF-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K
+25131,49, Self-emp-not-inc,215096, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+25132,41, Local-gov,177599, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+25133,33, Private,123920, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25134,20, ?,201490, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+25135,40, Private,46990, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K
+25136,32, Private,388672, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,16, United-States, <=50K
+25137,48, Private,149210, Bachelors,13, Divorced, Sales, Not-in-family, Black, Male,0,0,40, United-States, >50K
+25138,24, Private,134787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+25139,50, Private,185407, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K
+25140,31, State-gov,86143, HS-grad,9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+25141,23, Private,41721, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+25142,35, Private,195744, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+25143,50, Local-gov,96062, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+25144,39, Private,215150, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+25145,52, Private,270728, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, Cuba, <=50K
+25146,44, Private,75012, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+25147,43, Private,206139, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+25148,39, Private,50700, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+25149,33, Private,224258, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, >50K
+25150,31, Private,240441, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,40, United-States, >50K
+25151,40, Self-emp-not-inc,406811, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+25152,28, Local-gov,34452, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+25153,19, Private,361341, 12th,8, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,25, Thailand, <=50K
+25154,35, Private,78247, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+25155,44, Private,106900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+25156,40, Self-emp-not-inc,165108, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, England, <=50K
+25157,20, Private,406641, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+25158,55, Private,171467, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,48, United-States, >50K
+25159,30, Private,341187, 7th-8th,4, Separated, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K
+25160,38, Private,119177, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+25161,75, Private,104896, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2653,0,20, United-States, <=50K
+25162,17, Private,342752, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+25163,79, ?,76641, Masters,14, Married-civ-spouse, ?, Husband, White, Male,20051,0,40, Poland, >50K
+25164,20, Private,47541, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+25165,25, Private,233461, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,30, United-States, <=50K
+25166,27, Private,303954, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+25167,19, Private,163015, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+25168,21, Private,75763, Some-college,10, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+25169,19, Private,43003, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+25170,42, Private,328239, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25171,28, Private,130856, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+25172,47, Self-emp-not-inc,190072, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Iran, >50K
+25173,59, Private,170148, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+25174,50, Private,104501, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25175,48, Self-emp-inc,213140, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K
+25176,33, Local-gov,175509, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+25177,27, Private,173611, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25178,45, Private,148995, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,30, United-States, >50K
+25179,24, Private,64520, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+25180,31, Private,139822, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+25181,24, Private,258700, 5th-6th,3, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, Mexico, <=50K
+25182,29, Private,34796, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25183,24, Private,124963, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K
+25184,24, Private,65743, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+25185,28, Private,161087, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,45, Jamaica, <=50K
+25186,63, ?,424591, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+25187,36, Federal-gov,203836, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+25188,58, State-gov,110199, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+25189,51, Private,316059, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K
+25190,42, Private,255667, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+25191,39, Private,193689, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25192,26, Private,60722, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+25193,39, Private,187847, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25194,28, Private,233275, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+25195,51, Private,215404, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,15024,0,40, United-States, >50K
+25196,45, Private,201865, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+25197,45, Private,118889, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25198,23, State-gov,368739, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25199,38, Private,123833, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+25200,38, Private,171344, 11th,7, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,36, Mexico, <=50K
+25201,39, Private,153976, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25202,52, Private,374883, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+25203,17, Private,167658, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,6, United-States, <=50K
+25204,31, Private,348504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+25205,22, Private,258509, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,24, United-States, <=50K
+25206,47, State-gov,108890, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,1831,0,38, United-States, <=50K
+25207,28, Private,188236, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25208,30, ?,355571, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25209,41, Private,425049, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+25210,29, Private,142555, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,42, United-States, <=50K
+25211,42, Self-emp-not-inc,29320, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K
+25212,52, Federal-gov,207841, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25213,35, Private,187329, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25214,28, Private,270973, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+25215,46, Private,197332, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,46, United-States, >50K
+25216,21, ?,175166, Some-college,10, Never-married, ?, Own-child, White, Female,2176,0,40, United-States, <=50K
+25217,45, Local-gov,160187, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25218,21, Private,197918, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+25219,74, Private,192290, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K
+25220,29, Private,241895, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+25221,39, Local-gov,164515, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25222,44, Private,147206, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K
+25223,23, Self-emp-inc,306868, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25224,32, Local-gov,169837, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25225,61, ?,124648, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25226,43, Private,185057, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, >50K
+25227,23, Private,240049, Preschool,1, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K
+25228,18, Private,164441, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+25229,38, Private,179314, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+25230,33, Private,319854, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,4650,0,35, United-States, <=50K
+25231,19, Self-emp-inc,148955, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,35, South, <=50K
+25232,23, Private,32950, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,4101,0,40, United-States, <=50K
+25233,37, Private,206699, HS-grad,9, Divorced, Tech-support, Own-child, White, Male,0,0,45, United-States, <=50K
+25234,25, Private,385646, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+25235,36, Private,31438, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,43, ?, <=50K
+25236,45, Private,168598, 12th,8, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103,0,40, United-States, >50K
+25237,32, Private,97306, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K
+25238,65, ?,106910, 11th,7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K
+25239,18, Self-emp-not-inc,29582, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+25240,25, Private,220284, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K
+25241,29, Private,110226, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,65, ?, <=50K
+25242,53, Private,240914, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25243,33, Private,115496, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+25244,27, Private,105817, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+25245,24, State-gov,330836, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+25246,54, Self-emp-not-inc,36327, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+25247,23, Private,33423, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+25248,45, Private,75673, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+25249,36, Private,185744, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K
+25250,36, Private,186035, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+25251,44, Local-gov,196456, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K
+25252,24, Private,111450, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K
+25253,39, Private,115289, Some-college,10, Divorced, Sales, Own-child, White, Male,0,1380,70, United-States, <=50K
+25254,50, Private,74879, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+25255,38, Private,117312, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K
+25256,58, Private,272902, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+25257,44, Self-emp-inc,220230, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,48, United-States, <=50K
+25258,24, Private,90934, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K
+25259,52, Self-emp-inc,234286, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+25260,46, Private,364548, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K
+25261,50, Self-emp-inc,283676, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+25262,34, Private,195602, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+25263,40, Private,70761, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+25264,53, Private,142717, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25265,24, Private,124242, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+25266,58, ?,53481, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K
+25267,26, Private,287797, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+25268,22, Private,188274, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+25269,36, Private,171968, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25270,78, ?,74795, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K
+25271,36, Private,218490, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Germany, >50K
+25272,43, Local-gov,94937, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,28, United-States, <=50K
+25273,60, Private,109511, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+25274,49, Local-gov,269527, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+25275,50, Self-emp-inc,201689, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,63, ?, >50K
+25276,34, Self-emp-not-inc,120672, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,10, United-States, <=50K
+25277,46, Private,130779, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25278,46, Local-gov,441542, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+25279,69, Private,114801, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+25280,32, Private,180284, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25281,40, Local-gov,27444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+25282,61, Private,180382, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411,0,45, United-States, <=50K
+25283,56, Private,143266, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25284,47, Private,139268, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+25285,29, Private,126208, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+25286,37, Private,186191, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K
+25287,51, Private,197163, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,2559,50, United-States, >50K
+25288,44, State-gov,193524, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+25289,33, Private,181388, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+25290,51, Self-emp-not-inc,124963, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, >50K
+25291,24, Private,188925, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25292,37, Self-emp-not-inc,149230, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+25293,40, Private,388725, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25294,34, Private,113543, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+25295,61, ?,187636, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+25296,56, Self-emp-inc,267763, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K
+25297,69, Federal-gov,143849, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+25298,41, Self-emp-not-inc,97277, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K
+25299,40, Private,199303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25300,57, Private,124852, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+25301,26, Private,50053, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+25302,53, Private,97005, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K
+25303,90, ?,175444, 7th-8th,4, Separated, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+25304,39, Private,337898, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+25305,51, Federal-gov,124076, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25306,56, Federal-gov,277420, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, >50K
+25307,51, Private,280278, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25308,17, Private,241185, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+25309,42, Private,202188, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,1741,50, United-States, <=50K
+25310,42, Private,198422, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+25311,29, Private,82242, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,27828,0,45, Germany, >50K
+25312,33, Private,178429, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+25313,47, Private,185866, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, ?, >50K
+25314,43, Private,212847, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25315,64, Self-emp-not-inc,219661, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,9, United-States, >50K
+25316,40, Private,321856, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, >50K
+25317,21, Private,313873, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+25318,31, Private,144064, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+25319,60, Private,139586, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, >50K
+25320,32, Private,419691, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+25321,66, ?,212759, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,6767,0,20, United-States, <=50K
+25322,27, Private,195562, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,20, United-States, <=50K
+25323,40, Private,205706, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+25324,27, Private,131310, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+25325,18, Private,54440, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+25326,43, Private,200734, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25327,52, Private,81859, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+25328,31, Private,159589, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,85, United-States, <=50K
+25329,28, Private,300915, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+25330,44, Private,185057, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+25331,37, Self-emp-not-inc,42044, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K
+25332,35, Private,166416, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+25333,42, Private,212737, 9th,5, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+25334,18, Private,236069, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,10, United-States, <=50K
+25335,46, Self-emp-inc,216414, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K
+25336,54, Federal-gov,27432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+25337,54, Private,145419, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,50, United-States, <=50K
+25338,56, Private,147202, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, Germany, <=50K
+25339,27, Private,29261, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+25340,26, Private,359543, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K
+25341,41, Local-gov,227644, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25342,41, Private,90021, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K
+25343,32, Private,188154, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+25344,18, Private,110142, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+25345,36, Private,186415, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, <=50K
+25346,37, Private,175720, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25347,31, Private,172865, 5th-6th,3, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, Mexico, <=50K
+25348,46, Private,35969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,51, United-States, <=50K
+25349,24, Private,433330, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25350,25, Self-emp-inc,160261, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,35, Taiwan, <=50K
+25351,55, Private,189528, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+25352,64, Local-gov,113324, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25353,30, Local-gov,118500, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25354,65, Private,89681, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K
+25355,46, Federal-gov,199925, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25356,45, Private,102308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+25357,18, Private,444607, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+25358,32, Private,176998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+25359,38, ?,94559, Bachelors,13, Married-civ-spouse, ?, Wife, Other, Female,7688,0,50, ?, >50K
+25360,34, State-gov,366198, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Germany, >50K
+25361,35, Private,180686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K
+25362,26, Private,108019, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,3325,0,40, United-States, <=50K
+25363,24, Private,153542, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,35, United-States, <=50K
+25364,45, Self-emp-not-inc,210364, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,80, United-States, >50K
+25365,36, Private,185394, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,34, United-States, <=50K
+25366,44, Private,222703, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Nicaragua, <=50K
+25367,23, Private,183945, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+25368,57, Private,161964, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+25369,41, Self-emp-not-inc,375574, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Mexico, >50K
+25370,20, Local-gov,312427, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, Puerto-Rico, <=50K
+25371,32, Private,53373, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+25372,60, Private,166330, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,99999,0,40, United-States, >50K
+25373,38, Self-emp-inc,124665, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K
+25374,29, Private,146719, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,45, United-States, <=50K
+25375,22, Private,306593, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+25376,21, Private,156687, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,30, India, <=50K
+25377,40, Local-gov,153489, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,3137,0,40, United-States, <=50K
+25378,59, Private,231377, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,45, United-States, >50K
+25379,45, State-gov,127089, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+25380,76, Local-gov,329355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,13, United-States, <=50K
+25381,45, Private,178319, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+25382,49, Local-gov,304246, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,70, United-States, <=50K
+25383,36, Local-gov,174640, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,60, United-States, >50K
+25384,22, Private,148294, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+25385,47, Private,298037, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K
+25386,26, Private,98155, HS-grad,9, Married-AF-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+25387,21, Private,102766, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+25388,27, Private,78529, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,15, United-States, <=50K
+25389,26, Private,136309, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25390,20, Private,275357, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,25, United-States, <=50K
+25391,31, Self-emp-not-inc,33117, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, England, <=50K
+25392,57, Local-gov,199546, Masters,14, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25393,39, Private,184128, 11th,7, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+25394,36, Private,337039, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Black, Male,14344,0,40, England, >50K
+25395,66, Private,126511, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+25396,34, Local-gov,325792, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25397,80, ?,91901, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+25398,21, Private,119474, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+25399,40, Private,153238, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,32, United-States, >50K
+25400,49, Local-gov,321851, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+25401,48, Self-emp-not-inc,108557, Some-college,10, Divorced, Sales, Not-in-family, White, Female,3325,0,60, United-States, <=50K
+25402,19, State-gov,67217, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,594,0,24, United-States, <=50K
+25403,42, Private,195508, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+25404,59, Private,102193, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+25405,63, Private,20323, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25406,26, Private,122206, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+25407,41, Private,200652, 9th,5, Divorced, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K
+25408,42, Private,173590, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1628,40, United-States, <=50K
+25409,19, Private,184121, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+25410,45, Local-gov,53123, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K
+25411,47, Private,175990, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K
+25412,47, Private,316101, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25413,34, Private,34080, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K
+25414,49, Self-emp-not-inc,219718, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+25415,36, Private,126954, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25416,53, Private,99185, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K
+25417,21, ?,40052, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,2001,45, United-States, <=50K
+25418,39, Private,120074, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25419,52, Self-emp-not-inc,77336, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25420,18, Private,60981, Some-college,10, Never-married, Sales, Own-child, White, Female,2176,0,35, United-States, <=50K
+25421,59, Private,77884, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+25422,50, Private,65408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+25423,31, Private,173279, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+25424,52, ?,318351, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K
+25425,41, Self-emp-not-inc,157686, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25426,45, Private,277434, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K
+25427,54, Local-gov,184620, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25428,22, Private,34443, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K
+25429,50, Private,268553, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K
+25430,20, ?,41356, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K
+25431,43, Private,459342, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25432,48, Local-gov,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+25433,24, Private,254293, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,45, United-States, <=50K
+25434,54, Private,104501, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+25435,26, Private,238367, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25436,53, Private,180439, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25437,51, Self-emp-inc,100029, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+25438,54, Private,215990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,44, United-States, >50K
+25439,32, State-gov,111567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, >50K
+25440,46, Private,319163, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+25441,60, ?,160155, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K
+25442,52, Local-gov,378045, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+25443,44, Private,177083, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25444,56, Self-emp-inc,119891, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K
+25445,57, Private,127779, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+25446,35, Private,299353, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25447,30, Private,63861, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25448,29, Private,112403, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K
+25449,49, Private,83610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,66, United-States, >50K
+25450,28, Private,452808, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25451,30, Private,176871, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25452,45, Private,100651, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K
+25453,17, Private,266134, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+25454,54, Local-gov,196307, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25455,31, Private,87891, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25456,54, Private,182314, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+25457,55, ?,136819, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+25458,26, Private,181666, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, ?, <=50K
+25459,37, Private,179671, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+25460,34, Private,27494, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, >50K
+25461,38, Private,338320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Canada, <=50K
+25462,51, Private,199688, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+25463,41, Private,96635, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K
+25464,24, Private,165064, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25465,56, Self-emp-inc,109856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+25466,33, Private,82393, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+25467,31, Private,209538, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25468,27, Private,209891, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+25469,32, Self-emp-not-inc,56026, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K
+25470,35, Private,210844, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+25471,43, Private,117158, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+25472,40, Private,193144, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K
+25473,19, Self-emp-not-inc,137578, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,53, United-States, <=50K
+25474,23, Private,234108, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K
+25475,40, Private,155767, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+25476,59, Private,110820, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, >50K
+25477,43, Private,403276, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25478,43, Self-emp-not-inc,147269, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K
+25479,53, Private,123092, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25480,26, Private,165673, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+25481,68, Self-emp-inc,182131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,20, United-States, >50K
+25482,41, Private,204415, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K
+25483,32, Self-emp-not-inc,92531, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+25484,25, State-gov,157028, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25485,20, Private,228649, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+25486,22, Private,147253, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K
+25487,33, Private,160784, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25488,26, Local-gov,163189, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+25489,29, Private,146343, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+25490,20, Private,225811, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K
+25491,68, State-gov,202699, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,42, ?, >50K
+25492,58, Private,374108, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+25493,32, Private,93930, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25494,23, Private,412248, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+25495,30, Private,427474, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+25496,67, State-gov,160158, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,8, United-States, <=50K
+25497,26, Private,159603, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K
+25498,53, Self-emp-not-inc,101017, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+25499,27, Local-gov,163862, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+25500,29, Without-pay,212588, Some-college,10, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K
+25501,38, State-gov,321943, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+25502,17, Private,317702, 9th,5, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+25503,48, Private,287480, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+25504,52, Private,135607, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K
+25505,28, Private,168514, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+25506,18, Private,88642, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+25507,28, Private,227104, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+25508,34, Private,157289, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25509,62, Private,213321, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+25510,46, Private,294907, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+25511,30, Private,251411, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25512,20, Private,183594, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+25513,29, Private,189565, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K
+25514,55, Private,217802, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,25, United-States, <=50K
+25515,20, Private,388156, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,24, United-States, <=50K
+25516,54, Private,447555, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+25517,27, Private,204098, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+25518,43, Private,193882, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K
+25519,17, ?,89870, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+25520,48, State-gov,49595, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,72, United-States, <=50K
+25521,34, Private,228873, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+25522,66, ?,108185, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+25523,29, Private,176027, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25524,43, ?,405374, Some-college,10, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+25525,37, Private,39606, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+25526,56, Private,178353, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+25527,58, Private,160662, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25528,54, Self-emp-inc,196328, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, Jamaica, <=50K
+25529,45, Private,20534, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K
+25530,29, Self-emp-inc,156815, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+25531,26, Private,360252, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+25532,43, Private,245056, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+25533,33, Local-gov,422718, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+25534,45, Self-emp-not-inc,118081, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,3103,0,42, United-States, <=50K
+25535,25, Private,262978, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+25536,25, Private,187577, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25537,69, ?,259323, Prof-school,15, Divorced, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K
+25538,37, Private,160920, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25539,20, Private,194247, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K
+25540,39, Private,134367, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,24, United-States, >50K
+25541,17, Private,123335, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+25542,27, Local-gov,332249, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+25543,26, Private,358124, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K
+25544,55, Private,208019, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+25545,39, Private,318452, 11th,7, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+25546,41, Private,207779, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25547,34, Private,238376, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+25548,51, Private,673764, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+25549,67, State-gov,239705, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,12, ?, <=50K
+25550,40, Private,133974, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+25551,58, Private,138285, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+25552,23, Private,152140, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25553,45, Local-gov,287920, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+25554,51, Private,289572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+25555,43, State-gov,78765, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+25556,25, State-gov,99076, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,2597,0,50, United-States, <=50K
+25557,36, Self-emp-not-inc,224886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,40, United-States, <=50K
+25558,58, Private,206532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+25559,33, Private,129529, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25560,60, Local-gov,202473, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+25561,24, Private,162312, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+25562,45, Private,72844, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, <=50K
+25563,49, Private,206947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25564,19, Private,64112, 12th,8, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25565,34, State-gov,20057, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,38, Philippines, <=50K
+25566,42, State-gov,222884, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25567,25, Private,132683, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K
+25568,73, ?,177773, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K
+25569,59, Self-emp-not-inc,144071, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,2580,0,15, El-Salvador, <=50K
+25570,28, Private,148429, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K
+25571,19, Private,168601, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K
+25572,31, State-gov,78291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25573,58, Federal-gov,243929, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K
+25574,21, Private,215039, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,13, ?, <=50K
+25575,47, Self-emp-not-inc,185673, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+25576,30, Private,121142, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K
+25577,41, Private,173858, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+25578,59, ?,87247, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, England, <=50K
+25579,43, Private,334991, Some-college,10, Separated, Transport-moving, Unmarried, White, Male,4934,0,51, United-States, >50K
+25580,48, Private,93476, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,2001,40, United-States, <=50K
+25581,44, Private,174283, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+25582,44, Private,128676, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25583,24, Private,205844, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+25584,28, Private,62535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K
+25585,50, Private,240612, HS-grad,9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,10, United-States, <=50K
+25586,33, Private,176992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25587,23, Local-gov,254127, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,50, United-States, <=50K
+25588,30, ?,138744, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+25589,46, Private,128460, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+25590,21, State-gov,56582, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K
+25591,52, Private,153751, 9th,5, Separated, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+25592,26, Private,284343, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+25593,27, State-gov,312692, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,12, United-States, <=50K
+25594,28, Private,111520, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Nicaragua, <=50K
+25595,50, Self-emp-inc,304955, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+25596,28, Private,288598, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+25597,61, Self-emp-not-inc,117387, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+25598,32, Private,230484, 7th-8th,4, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+25599,30, Federal-gov,319280, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25600,51, Local-gov,186416, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25601,40, Local-gov,147372, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,2444,40, United-States, >50K
+25602,36, Private,145933, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,70, United-States, <=50K
+25603,28, Private,110164, Some-college,10, Divorced, Other-service, Other-relative, Black, Male,0,0,24, United-States, <=50K
+25604,49, Private,225454, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+25605,61, Self-emp-not-inc,220342, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+25606,41, Self-emp-not-inc,144002, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+25607,55, Private,225365, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+25608,36, Private,187983, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+25609,21, Private,89991, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+25610,57, Self-emp-not-inc,225913, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+25611,49, Self-emp-inc,229737, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,37, United-States, >50K
+25612,59, Private,145574, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25613,41, Private,274363, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K
+25614,59, Private,365390, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25615,20, Private,266467, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+25616,42, Private,183384, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25617,41, Local-gov,112797, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K
+25618,45, Federal-gov,76008, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+25619,36, Private,156780, HS-grad,9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+25620,42, Local-gov,186909, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+25621,25, Private,25497, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+25622,45, Private,102771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+25623,58, Self-emp-not-inc,248841, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+25624,39, Private,30916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25625,34, Private,123270, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25626,22, Self-emp-not-inc,210165, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25627,44, Private,222596, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, >50K
+25628,53, Self-emp-inc,188067, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+25629,22, Private,119592, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2824,40, ?, >50K
+25630,27, Private,250314, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Guatemala, <=50K
+25631,60, Private,205934, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+25632,46, Private,186172, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K
+25633,56, Self-emp-inc,98418, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K
+25634,36, Private,329980, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,40, United-States, >50K
+25635,56, Private,147653, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K
+25636,35, ?,195946, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+25637,29, Self-emp-inc,168221, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,70, United-States, <=50K
+25638,19, Private,151801, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K
+25639,38, Private,177154, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+25640,40, Federal-gov,73883, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+25641,52, Private,175714, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+25642,22, Private,43535, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+25643,32, State-gov,104509, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+25644,27, Private,118230, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+25645,25, Private,152046, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Guatemala, <=50K
+25646,36, Private,52327, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, Iran, >50K
+25647,22, Private,218886, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+25648,32, Self-emp-not-inc,84119, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+25649,37, Private,189674, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25650,22, Private,222993, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,54, United-States, <=50K
+25651,29, Private,47429, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+25652,42, Private,144995, Preschool,1, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K
+25653,45, Private,187969, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+25654,33, Private,288398, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+25655,39, Private,114591, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+25656,27, Private,167737, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+25657,53, Local-gov,248834, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+25658,30, Private,165686, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25659,52, Self-emp-not-inc,40200, Some-college,10, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+25660,43, Self-emp-inc,117158, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+25661,47, Local-gov,216657, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K
+25662,61, Private,124242, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, India, <=50K
+25663,39, Local-gov,239119, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Dominican-Republic, <=50K
+25664,47, Private,190072, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K
+25665,19, Private,378114, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K
+25666,37, Private,236990, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K
+25667,31, Private,101761, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K
+25668,69, Self-emp-not-inc,37745, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K
+25669,22, ?,424494, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+25670,29, Private,130438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25671,24, Private,100605, Some-college,10, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,14, United-States, <=50K
+25672,42, Private,220776, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, Poland, <=50K
+25673,30, Local-gov,154950, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K
+25674,28, Private,192283, Masters,14, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,80, United-States, >50K
+25675,27, Private,210765, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25676,53, Private,147476, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25677,35, State-gov,193241, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1651,40, United-States, <=50K
+25678,22, Private,109053, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+25679,25, Private,265618, HS-grad,9, Separated, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K
+25680,38, Local-gov,172855, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1887,40, United-States, >50K
+25681,27, Private,68848, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+25682,30, Private,229051, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,37, United-States, <=50K
+25683,27, Private,106039, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K
+25684,25, Private,112835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25685,36, ?,205396, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K
+25686,32, Private,283400, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25687,70, Private,195739, 10th,6, Widowed, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K
+25688,50, Private,36480, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+25689,40, Private,303291, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+25690,34, Private,293900, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,55, United-States, <=50K
+25691,57, Self-emp-not-inc,165922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+25692,39, Private,65738, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K
+25693,49, Private,175070, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+25694,43, Private,339814, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K
+25695,26, Private,150132, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+25696,31, Private,377374, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, Japan, <=50K
+25697,60, Self-emp-not-inc,166153, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+25698,46, Private,110171, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+25699,26, Private,94477, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,55, United-States, >50K
+25700,27, Private,194243, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+25701,31, Private,106347, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+25702,59, Private,214865, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+25703,19, ?,185619, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+25704,18, Private,96445, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+25705,22, Private,102632, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+25706,24, Private,209034, Assoc-acdm,12, Married-civ-spouse, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+25707,53, State-gov,153486, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+25708,43, Private,144371, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, >50K
+25709,24, Private,186213, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+25710,60, Private,188236, 10th,6, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+25711,24, Private,418405, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25712,52, Federal-gov,125796, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+25713,32, Private,183304, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K
+25714,34, Private,329587, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+25715,35, Local-gov,182570, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+25716,38, Private,446654, 9th,5, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+25717,34, Self-emp-not-inc,254304, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,90, United-States, <=50K
+25718,53, Local-gov,131258, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+25719,23, Private,103632, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25720,40, Private,241895, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25721,40, Private,244945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25722,50, Private,20795, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+25723,17, Private,347322, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+25724,53, Local-gov,103995, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,54, United-States, <=50K
+25725,32, Private,53206, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+25726,43, ?,387839, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K
+25727,18, Private,57108, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K
+25728,62, Private,177791, 10th,6, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+25729,45, Private,33794, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+25730,46, Private,249935, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K
+25731,73, Self-emp-not-inc,241121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+25732,64, Private,98586, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+25733,26, Private,181920, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+25734,23, Private,434467, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+25735,30, Private,113364, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Vietnam, <=50K
+25736,51, Private,249706, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25737,35, Self-emp-not-inc,95455, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K
+25738,39, Private,209867, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,13550,0,45, United-States, >50K
+25739,35, Self-emp-inc,79586, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+25740,41, Private,289669, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25741,31, Private,347166, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,4650,0,40, United-States, <=50K
+25742,40, Private,53835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+25743,46, Local-gov,14878, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+25744,31, Private,266126, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+25745,41, Self-emp-inc,146659, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Honduras, <=50K
+25746,42, Private,125280, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K
+25747,23, Private,173535, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+25748,21, ?,77665, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+25749,49, Private,280525, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+25750,53, Private,479621, Assoc-voc,11, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+25751,38, Local-gov,194630, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,4787,0,43, United-States, >50K
+25752,36, Private,247600, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K
+25753,32, Private,258406, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,72, Mexico, <=50K
+25754,20, Private,107746, 11th,7, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, Guatemala, <=50K
+25755,17, ?,47407, 11th,7, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K
+25756,22, Private,229987, Some-college,10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female,0,0,32, United-States, <=50K
+25757,25, Private,312338, Assoc-voc,11, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+25758,58, Private,225394, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, <=50K
+25759,24, Private,373718, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K
+25760,48, State-gov,120131, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,8614,0,40, United-States, >50K
+25761,20, Private,472789, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, El-Salvador, <=50K
+25762,60, Self-emp-not-inc,27886, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25763,20, Private,138352, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K
+25764,52, Private,123011, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+25765,36, Private,306567, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K
+25766,46, Local-gov,187749, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+25767,22, Private,260594, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K
+25768,19, Private,236879, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K
+25769,37, Private,186808, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+25770,30, Private,373213, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K
+25771,44, Private,187629, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K
+25772,63, ?,106648, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+25773,22, Private,305781, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, Canada, <=50K
+25774,31, Self-emp-inc,256362, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3908,0,50, United-States, <=50K
+25775,17, Private,239947, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+25776,21, Private,349041, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25777,67, Private,105252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25778,46, Private,182715, 7th-8th,4, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25779,29, Private,166210, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+25780,20, Private,113200, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,6, United-States, <=50K
+25781,27, Private,142075, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K
+25782,35, Private,454843, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25783,19, Private,142219, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+25784,36, Private,112512, 12th,8, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+25785,43, Private,212894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+25786,62, State-gov,265201, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25787,28, Private,251905, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2339,40, Canada, <=50K
+25788,18, Private,170627, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+25789,59, Private,354037, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, Black, Male,15024,0,50, United-States, >50K
+25790,37, Private,259089, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25791,27, Private,21856, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+25792,46, Local-gov,207946, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K
+25793,29, Private,77009, 11th,7, Separated, Sales, Not-in-family, White, Female,0,2754,42, United-States, <=50K
+25794,33, Private,36539, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+25795,62, Private,176811, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25796,46, Private,456062, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K
+25797,28, Private,277746, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25798,22, Private,288132, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+25799,46, Federal-gov,344415, Masters,14, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,1887,40, United-States, >50K
+25800,54, Self-emp-inc,206964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K
+25801,34, Private,198091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K
+25802,67, ?,150264, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Canada, >50K
+25803,62, Private,588484, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K
+25804,30, Private,113364, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Poland, <=50K
+25805,19, Private,270551, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+25806,49, ?,31478, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K
+25807,27, Private,190525, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K
+25808,36, Private,153066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+25809,52, Private,150393, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+25810,47, Private,99911, 12th,8, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+25811,57, Local-gov,343447, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25812,64, Private,169482, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+25813,56, ?,32855, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25814,53, Private,194501, 11th,7, Widowed, Other-service, Own-child, White, Female,0,0,47, United-States, <=50K
+25815,53, Private,177705, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+25816,31, Private,123983, Some-college,10, Separated, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+25817,41, Private,138975, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K
+25818,45, Local-gov,235431, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+25819,63, ?,83043, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2179,45, United-States, <=50K
+25820,45, State-gov,130206, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+25821,23, Private,210053, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+25822,39, Local-gov,249392, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K
+25823,31, Private,87418, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+25824,35, Self-emp-not-inc,190387, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+25825,54, Private,176240, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K
+25826,22, ?,211013, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Mexico, <=50K
+25827,40, Local-gov,105862, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,40, United-States, <=50K
+25828,55, Self-emp-not-inc,185195, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25829,31, Private,173495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25830,58, Self-emp-inc,78634, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+25831,31, Private,147284, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,99, United-States, >50K
+25832,46, Self-emp-not-inc,82572, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+25833,38, Private,154641, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25834,22, Local-gov,39236, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,594,0,25, United-States, <=50K
+25835,17, ?,64785, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+25836,48, Self-emp-not-inc,179337, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, England, <=50K
+25837,73, Private,173047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K
+25838,25, Private,264012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+25839,53, Federal-gov,227836, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25840,46, Private,321327, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,45, United-States, >50K
+25841,45, Self-emp-inc,108100, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,99999,0,25, ?, >50K
+25842,37, Private,146398, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+25843,30, Private,324120, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+25844,29, Private,367329, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25845,29, State-gov,301582, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+25846,75, ?,222789, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K
+25847,58, Private,170108, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25848,42, Self-emp-not-inc,82297, 7th-8th,4, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K
+25849,62, Local-gov,180162, 9th,5, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,24, United-States, <=50K
+25850,45, Local-gov,348172, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,7298,0,40, United-States, >50K
+25851,38, Private,809585, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+25852,36, Self-emp-not-inc,67728, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+25853,70, ?,163057, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2009,0,40, United-States, <=50K
+25854,42, Self-emp-not-inc,102069, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+25855,47, Local-gov,149700, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K
+25856,42, Self-emp-not-inc,109273, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+25857,43, Private,393354, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, >50K
+25858,37, Private,226947, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+25859,36, State-gov,86805, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,39, United-States, >50K
+25860,27, Private,493689, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, France, <=50K
+25861,54, Private,299324, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K
+25862,48, Self-emp-not-inc,353012, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+25863,29, Private,174419, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+25864,29, Private,209472, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K
+25865,37, Private,295127, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,47, United-States, <=50K
+25866,55, Self-emp-inc,182273, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+25867,67, Private,228200, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,20, United-States, <=50K
+25868,51, Private,263836, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+25869,35, Private,178948, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+25870,41, Private,43945, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+25871,64, Self-emp-not-inc,253296, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+25872,23, Private,240137, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K
+25873,49, Private,24712, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K
+25874,38, Self-emp-not-inc,342635, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K
+25875,62, Private,115387, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,40, United-States, <=50K
+25876,62, Self-emp-not-inc,182998, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K
+25877,70, ?,133248, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K
+25878,45, Self-emp-not-inc,246891, Masters,14, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25879,20, Private,30035, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+25880,38, Private,175232, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+25881,50, Self-emp-inc,140516, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+25882,40, Private,64980, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,55, United-States, >50K
+25883,30, Private,155781, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+25884,52, Federal-gov,192065, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25885,28, Self-emp-not-inc,227890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K
+25886,62, Self-emp-not-inc,162249, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+25887,31, Private,165949, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+25888,40, Private,445382, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+25889,34, Private,211948, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,1590,40, United-States, <=50K
+25890,53, Private,163678, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+25891,42, Private,89413, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+25892,26, Private,289700, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K
+25893,51, Private,163826, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+25894,49, Private,185385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+25895,43, Private,169031, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25896,42, Private,54611, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25897,31, Private,130620, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, India, <=50K
+25898,26, Private,328663, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, United-States, <=50K
+25899,50, Private,169646, Bachelors,13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+25900,35, Private,186815, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+25901,37, Private,103925, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K
+25902,53, ?,150393, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,1504,35, United-States, <=50K
+25903,20, Private,82777, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K
+25904,31, Local-gov,178449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+25905,28, Private,51672, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+25906,46, Private,380162, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K
+25907,21, Private,212114, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K
+25908,41, Self-emp-not-inc,100800, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,70, United-States, >50K
+25909,30, Private,162572, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K
+25910,66, Self-emp-inc,179951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+25911,37, Self-emp-inc,190759, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+25912,74, State-gov,236012, 7th-8th,4, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K
+25913,46, State-gov,164023, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K
+25914,51, Private,172046, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+25915,33, Private,182926, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+25916,30, Private,151001, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, Mexico, <=50K
+25917,47, Self-emp-inc,362835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+25918,49, Private,97883, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+25919,53, Private,91911, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Female,0,0,48, United-States, <=50K
+25920,24, Private,278130, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25921,54, Private,146310, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+25922,32, Private,379412, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+25923,45, Private,37987, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+25924,46, Self-emp-inc,256909, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3325,0,45, United-States, <=50K
+25925,37, State-gov,482927, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,65, United-States, <=50K
+25926,48, State-gov,44434, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,61, United-States, >50K
+25927,25, Private,255474, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25928,28, ?,303674, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,3103,0,20, United-States, <=50K
+25929,44, ?,195488, 12th,8, Separated, ?, Not-in-family, White, Female,0,0,36, Puerto-Rico, <=50K
+25930,58, ?,114362, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K
+25931,27, Private,341504, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25932,69, Private,197080, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Male,0,0,8, United-States, <=50K
+25933,38, Private,102945, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+25934,47, Private,503454, 12th,8, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K
+25935,30, Self-emp-not-inc,87561, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+25936,46, Private,270693, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,3674,0,30, United-States, <=50K
+25937,27, Private,252813, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+25938,19, Private,574271, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+25939,18, Private,184016, HS-grad,9, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female,3103,0,40, United-States, <=50K
+25940,24, Private,235071, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+25941,32, Private,158242, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25942,38, Private,299810, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+25943,19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Hong, <=50K
+25944,28, Private,23324, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25945,39, Local-gov,316582, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K
+25946,38, Self-emp-not-inc,176657, Some-college,10, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K
+25947,42, Private,93770, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K
+25948,31, Private,124569, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+25949,46, Private,117313, 9th,5, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Ireland, <=50K
+25950,53, Private,53812, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,54, United-States, <=50K
+25951,21, Private,170456, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+25952,48, Self-emp-not-inc,115971, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+25953,46, Private,31432, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103,0,52, United-States, >50K
+25954,30, Private,112383, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+25955,24, Private,283092, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, Jamaica, <=50K
+25956,32, Private,27207, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+25957,30, Private,46712, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+25958,57, State-gov,19520, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+25959,56, Private,98630, 7th-8th,4, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25960,27, Private,159897, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+25961,38, Private,136629, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Iran, <=50K
+25962,19, Private,407759, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+25963,61, Self-emp-not-inc,221884, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+25964,49, Private,148475, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+25965,28, Private,274964, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+25966,50, Self-emp-inc,160107, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+25967,43, Private,167265, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, >50K
+25968,34, Private,148226, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K
+25969,28, Private,153869, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25970,31, Private,208881, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25971,55, Private,256953, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,44, United-States, <=50K
+25972,26, Private,100147, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+25973,51, Local-gov,166461, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K
+25974,35, Private,171327, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25975,42, Private,297335, Assoc-acdm,12, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,31, Laos, <=50K
+25976,63, ?,133166, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K
+25977,31, Private,169589, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+25978,22, Local-gov,273734, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+25979,67, Private,158301, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+25980,50, ?,257117, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+25981,63, Private,196725, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K
+25982,31, Private,137444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+25983,17, Private,286960, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+25984,41, Local-gov,201435, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+25985,53, Local-gov,216931, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K
+25986,44, Local-gov,212665, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,99, United-States, <=50K
+25987,24, Private,462820, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+25988,35, Private,198841, Assoc-voc,11, Divorced, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K
+25989,61, Private,219886, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+25990,31, Private,163003, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+25991,44, Private,112262, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K
+25992,56, Private,213105, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, >50K
+25993,66, Private,302072, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+25994,45, Private,338105, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+25995,69, Self-emp-not-inc,58213, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K
+25996,64, Private,125684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+25997,38, Private,215419, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, >50K
+25998,43, Local-gov,413760, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+25999,37, Private,205339, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K
+26000,19, Private,236570, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K
+26001,59, Self-emp-not-inc,247552, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26002,50, Federal-gov,184007, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+26003,33, Private,341187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+26004,56, Private,220187, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+26005,28, Private,198258, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26006,27, Private,175821, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,34, United-States, <=50K
+26007,42, Private,92288, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+26008,34, Private,261418, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+26009,19, Private,203319, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+26010,68, Self-emp-not-inc,166083, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26011,28, Private,109001, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+26012,81, ?,106765, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,4, United-States, <=50K
+26013,22, Self-emp-not-inc,197387, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+26014,58, Private,284834, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26015,31, Private,87535, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K
+26016,17, Local-gov,175587, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K
+26017,25, Private,242700, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,10520,0,50, United-States, >50K
+26018,23, Private,161478, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,23, United-States, <=50K
+26019,25, Private,51498, 12th,8, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+26020,47, Private,220124, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26021,39, Private,188503, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K
+26022,44, Private,113324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26023,46, Private,208872, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26024,38, Self-emp-not-inc,34180, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+26025,23, Private,292023, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K
+26026,34, Private,141118, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+26027,33, Private,348592, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+26028,38, Private,185203, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+26029,52, Self-emp-not-inc,165278, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26030,50, Private,116933, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K
+26031,38, Private,237608, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,2444,45, United-States, >50K
+26032,35, Private,84787, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+26033,67, Self-emp-not-inc,217892, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605,0,35, United-States, >50K
+26034,60, Private,325971, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K
+26035,44, Private,206878, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K
+26036,38, Self-emp-not-inc,127772, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+26037,29, Private,208577, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26038,65, Private,344152, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5556,0,50, United-States, >50K
+26039,33, Private,40681, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26040,29, ?,95108, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26041,18, Private,280603, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+26042,43, Private,188436, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26043,42, Private,134220, Assoc-voc,11, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+26044,42, Private,177989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+26045,32, Private,164190, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K
+26046,36, Private,90897, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26047,41, State-gov,33126, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+26048,30, Private,270886, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+26049,21, Private,216129, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+26050,33, Private,189368, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K
+26051,19, ?,141418, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K
+26052,19, Private,306225, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+26053,35, Private,330664, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26054,43, Private,191765, HS-grad,9, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K
+26055,45, Private,289353, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,24, United-States, <=50K
+26056,25, Private,53147, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,50, United-States, <=50K
+26057,39, Self-emp-not-inc,122353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26058,26, Private,188767, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26059,60, Private,239576, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K
+26060,52, Local-gov,155141, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+26061,22, Private,64520, 12th,8, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K
+26062,23, Private,478994, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+26063,46, Private,155654, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+26064,34, Self-emp-not-inc,124052, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K
+26065,39, Private,245053, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26066,38, Private,183585, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26067,56, Self-emp-not-inc,323639, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K
+26068,55, Federal-gov,186791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26069,40, Private,284303, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K
+26070,23, Private,186666, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26071,39, Private,200153, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26072,24, Private,180931, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,30, United-States, <=50K
+26073,51, Self-emp-not-inc,183173, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26074,47, Self-emp-inc,120131, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Cuba, >50K
+26075,25, Self-emp-not-inc,263300, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+26076,34, Private,226443, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+26077,18, Private,404868, 11th,7, Never-married, Sales, Own-child, Black, Female,0,1602,20, United-States, <=50K
+26078,19, Private,208506, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,28, United-States, <=50K
+26079,32, Private,46746, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+26080,49, Private,246183, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26081,40, ?,165309, 7th-8th,4, Separated, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K
+26082,43, Private,122749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+26083,71, Self-emp-inc,38822, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+26084,59, Private,167963, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+26085,32, Private,273241, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+26086,25, Private,120238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26087,32, Private,167990, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Ireland, <=50K
+26088,17, Private,225507, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,15, United-States, <=50K
+26089,57, Self-emp-inc,125000, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+26090,17, Self-emp-not-inc,174120, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+26091,27, Private,230959, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+26092,41, Local-gov,132125, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+26093,62, ?,68461, Doctorate,16, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+26094,19, Private,227178, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+26095,41, Private,165798, 5th-6th,3, Divorced, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K
+26096,39, Private,129573, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+26097,30, Private,224377, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26098,37, Private,179481, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+26099,18, Private,434268, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+26100,40, Self-emp-not-inc,173716, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+26101,38, Self-emp-inc,244803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,60, Cuba, >50K
+26102,24, Private,114230, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+26103,33, Private,188661, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+26104,48, Private,216093, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26105,51, Private,124963, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26106,48, Private,85341, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26107,43, Private,193490, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+26108,34, Private,80058, Prof-school,15, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K
+26109,41, Private,139907, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+26110,51, Self-emp-inc,54342, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,60, United-States, >50K
+26111,25, Private,188767, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+26112,20, Private,117222, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+26113,61, Self-emp-inc,171831, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829,0,45, United-States, <=50K
+26114,35, Private,187119, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K
+26115,42, Local-gov,97277, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+26116,26, Local-gov,219760, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,16, United-States, <=50K
+26117,46, Private,63299, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+26118,39, State-gov,171482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+26119,18, ?,344742, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+26120,29, Private,210869, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,80, United-States, <=50K
+26121,39, Private,38312, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K
+26122,47, Private,119939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26123,40, Private,83953, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+26124,43, State-gov,101383, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26125,32, Private,204374, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26126,31, Private,176831, 10th,6, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+26127,19, ?,60688, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K
+26128,44, Federal-gov,251305, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+26129,46, Local-gov,200947, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+26130,53, Self-emp-not-inc,46704, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26131,43, Private,119721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26132,41, State-gov,58930, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26133,35, Private,247750, HS-grad,9, Widowed, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+26134,48, Private,67725, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+26135,28, State-gov,200775, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+26136,44, Private,183542, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+26137,20, ?,25139, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+26138,51, Local-gov,123325, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26139,28, Private,269786, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K
+26140,36, Private,51089, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+26141,28, Private,136985, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+26142,21, Private,129350, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+26143,34, ?,35595, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+26144,36, Local-gov,61299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26145,25, ?,192321, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,80, United-States, <=50K
+26146,31, Private,257644, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K
+26147,44, Self-emp-not-inc,70884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+26148,49, Local-gov,159726, 11th,7, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+26149,40, Private,174395, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26150,64, Federal-gov,175534, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K
+26151,54, Local-gov,173050, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+26152,27, Private,32519, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,55, South, <=50K
+26153,18, Private,322999, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+26154,68, Private,148874, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,44, United-States, <=50K
+26155,64, Private,43738, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, >50K
+26156,36, Private,195385, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+26157,21, Private,149809, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K
+26158,22, Private,51985, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+26159,61, Private,105384, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+26160,24, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, Greece, <=50K
+26161,49, State-gov,324791, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26162,25, Private,184303, Some-college,10, Separated, Priv-house-serv, Other-relative, White, Female,0,0,30, El-Salvador, <=50K
+26163,66, ?,314347, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+26164,29, Private,274010, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26165,22, Private,321031, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+26166,57, Federal-gov,313929, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+26167,41, Private,394669, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1741,40, United-States, <=50K
+26168,29, Private,152951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26169,20, Private,247115, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+26170,47, Private,175958, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+26171,22, Private,109039, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+26172,59, Self-emp-inc,141326, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K
+26173,42, State-gov,74334, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+26174,64, Self-emp-not-inc,47462, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+26175,29, Federal-gov,182344, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+26176,25, State-gov,295912, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K
+26177,62, Private,311495, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26178,44, Private,236746, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,45, United-States, >50K
+26179,21, Private,187643, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26180,60, Private,282923, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+26181,46, Private,501671, 10th,6, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K
+26182,44, Federal-gov,29591, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,2258,40, United-States, >50K
+26183,21, Private,301556, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K
+26184,18, Private,187240, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K
+26185,39, Private,219483, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,32, United-States, <=50K
+26186,33, Private,594187, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+26187,63, Private,200474, 1st-4th,2, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26188,52, Local-gov,152795, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K
+26189,17, Private,230789, 9th,5, Never-married, Sales, Own-child, Black, Male,0,0,22, United-States, <=50K
+26190,45, Self-emp-inc,311231, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,50, United-States, >50K
+26191,31, Private,114691, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+26192,35, Private,194591, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+26193,31, Private,114691, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+26194,51, State-gov,42017, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26195,48, Local-gov,383384, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+26196,28, Private,29444, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+26197,42, Federal-gov,53727, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K
+26198,38, Private,277022, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Columbia, <=50K
+26199,43, Local-gov,113324, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26200,30, Private,342709, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26201,24, Private,179203, 12th,8, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K
+26202,46, Private,251474, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+26203,50, Private,93730, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+26204,22, Private,37894, HS-grad,9, Separated, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K
+26205,18, State-gov,272918, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,15, United-States, <=50K
+26206,53, Private,151411, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+26207,40, Private,210648, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K
+26208,36, Self-emp-not-inc,347491, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+26209,32, Private,255885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K
+26210,39, Private,356838, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K
+26211,46, Private,216164, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26212,26, Local-gov,288781, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K
+26213,19, Private,439779, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+26214,24, Private,161638, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Ecuador, <=50K
+26215,28, Private,190525, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+26216,25, Local-gov,276249, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+26217,44, Private,147265, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26218,38, Private,245090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K
+26219,42, State-gov,219682, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26220,28, Private,392100, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+26221,36, Private,358682, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, ?, <=50K
+26222,47, Private,262244, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,60, United-States, >50K
+26223,46, Private,171228, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3411,0,35, Guatemala, <=50K
+26224,21, Local-gov,218445, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K
+26225,19, ?,182609, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K
+26226,35, Private,509462, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+26227,26, Private,213258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26228,21, Private,118401, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26229,67, Self-emp-not-inc,45814, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+26230,54, Private,329733, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K
+26231,26, Private,29957, Masters,14, Never-married, Tech-support, Other-relative, White, Male,0,0,25, United-States, <=50K
+26232,51, Private,215854, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+26233,27, Private,327766, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26234,27, Private,405765, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K
+26235,39, Private,80680, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+26236,32, Private,177792, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, >50K
+26237,52, Private,273514, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26238,21, Private,202373, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+26239,27, Local-gov,332785, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,38, United-States, <=50K
+26240,46, Private,149640, 7th-8th,4, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26241,42, Private,40151, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+26242,79, Self-emp-inc,183686, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K
+26243,50, Federal-gov,32801, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K
+26244,19, ?,195282, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K
+26245,43, Federal-gov,134026, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,2174,0,40, United-States, <=50K
+26246,51, Local-gov,96678, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+26247,45, Private,174533, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K
+26248,65, Private,180807, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,991,0,20, United-States, <=50K
+26249,66, Private,186324, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, >50K
+26250,36, Self-emp-not-inc,257250, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K
+26251,26, Private,212800, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K
+26252,28, Private,55360, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K
+26253,39, Self-emp-not-inc,195253, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+26254,43, Private,45156, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+26255,20, Private,435469, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K
+26256,29, Private,231287, Some-college,10, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K
+26257,32, Private,168854, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,50, United-States, >50K
+26258,44, Self-emp-not-inc,185057, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K
+26259,18, ?,91670, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+26260,60, Private,165517, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26261,34, Private,73161, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26262,60, Private,178792, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26263,38, Private,32897, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+26264,29, Private,250967, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26265,41, Private,41901, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1408,40, United-States, <=50K
+26266,49, Private,379779, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26267,37, Private,217838, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+26268,37, Self-emp-not-inc,137527, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,2559,60, United-States, >50K
+26269,43, Private,198965, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K
+26270,41, Private,70645, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,55, United-States, <=50K
+26271,37, Private,220644, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K
+26272,19, Private,175081, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K
+26273,29, Private,180299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+26274,40, Self-emp-not-inc,548664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K
+26275,53, Private,278114, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26276,27, Private,394927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+26277,44, Self-emp-not-inc,127482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, England, >50K
+26278,29, Private,236938, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K
+26279,25, Private,232991, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K
+26280,38, Private,34378, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+26281,48, Self-emp-inc,81513, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+26282,18, Private,106780, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+26283,50, Private,178596, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,1408,50, United-States, <=50K
+26284,37, Private,329026, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+26285,48, Private,26490, Bachelors,13, Widowed, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+26286,50, Private,338033, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+26287,74, ?,169303, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,6767,0,6, United-States, <=50K
+26288,24, Private,21154, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+26289,34, Private,209449, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K
+26290,19, Private,389143, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+26291,39, Private,101260, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+26292,40, Private,198270, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26293,30, Private,45781, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26294,27, Private,134566, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26295,23, ?,283806, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+26296,68, ?,286869, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,1668,40, ?, <=50K
+26297,46, Private,422813, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+26298,24, Local-gov,103277, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K
+26299,18, Private,201871, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+26300,50, Self-emp-not-inc,167728, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+26301,42, Private,211517, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26302,42, Private,118212, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+26303,37, Private,259846, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,3471,0,40, United-States, <=50K
+26304,57, Private,98926, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K
+26305,27, Private,207352, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+26306,31, Private,206609, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26307,34, Local-gov,104509, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+26308,55, Self-emp-not-inc,170350, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+26309,56, Private,183884, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26310,36, State-gov,110964, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1672,38, United-States, <=50K
+26311,35, State-gov,154410, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+26312,63, ?,257659, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K
+26313,28, Private,274679, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+26314,38, Private,252662, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26315,30, Self-emp-inc,356689, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+26316,18, Private,205218, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+26317,35, Private,241306, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+26318,53, Private,139127, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26319,46, Private,175625, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+26320,45, Private,206459, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+26321,35, Private,176123, 10th,6, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K
+26322,41, Private,111483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+26323,60, Self-emp-not-inc,106118, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K
+26324,18, Private,77845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,1602,15, United-States, <=50K
+26325,19, Private,162094, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+26326,24, Private,216469, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,50, United-States, <=50K
+26327,56, Local-gov,381965, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+26328,28, Private,145284, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+26329,29, Private,242482, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+26330,35, Self-emp-not-inc,160192, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+26331,27, ?,280699, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+26332,55, Private,175942, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, ?, >50K
+26333,18, Private,156950, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+26334,53, Private,215572, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26335,26, Private,173593, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, Canada, <=50K
+26336,55, Private,193374, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+26337,45, Local-gov,334039, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26338,28, Private,337664, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+26339,32, Private,113504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26340,27, Private,177072, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+26341,35, Private,174503, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26342,36, Private,214807, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,37, United-States, <=50K
+26343,41, Private,222596, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K
+26344,23, Private,100345, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+26345,22, Private,409230, 12th,8, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+26346,36, Self-emp-not-inc,112497, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,40, United-States, >50K
+26347,65, Self-emp-inc,115922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26348,59, ?,375049, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,41, United-States, >50K
+26349,25, Private,243560, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, Columbia, <=50K
+26350,33, Local-gov,182971, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K
+26351,31, Private,127215, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26352,50, State-gov,276241, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26353,49, State-gov,175109, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26354,43, Private,498079, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+26355,23, Federal-gov,344394, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+26356,34, Private,99872, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, India, >50K
+26357,23, Private,245302, Some-college,10, Divorced, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+26358,63, Private,43313, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26359,33, Private,188467, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26360,51, Self-emp-inc,351278, Bachelors,13, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K
+26361,31, Private,182246, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26362,32, Private,79870, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Female,2597,0,40, Japan, <=50K
+26363,48, ?,353824, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, >50K
+26364,31, Private,387116, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,36, Jamaica, <=50K
+26365,47, Private,34248, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26366,54, State-gov,198741, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+26367,23, Private,32950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26368,34, Private,381153, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26369,46, Private,100067, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, >50K
+26370,34, Private,208785, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+26371,31, Private,61559, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K
+26372,41, Private,176452, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Peru, <=50K
+26373,41, ?,128700, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+26374,27, Self-emp-not-inc,328518, Assoc-voc,11, Never-married, Prof-specialty, Other-relative, White, Male,0,0,30, United-States, <=50K
+26375,30, ?,201196, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+26376,23, Private,378546, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+26377,24, Local-gov,212210, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, ?, <=50K
+26378,59, Federal-gov,178660, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+26379,56, Private,235826, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+26380,35, Self-emp-not-inc,22641, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+26381,59, Private,316027, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, Cuba, <=50K
+26382,47, Private,431515, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26383,51, Self-emp-not-inc,149770, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K
+26384,42, Private,165916, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+26385,29, Federal-gov,107411, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+26386,23, Private,217961, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,45, Outlying-US(Guam-USVI-etc), <=50K
+26387,43, Self-emp-not-inc,350387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+26388,46, Private,325372, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26389,30, Private,156718, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26390,23, Private,216472, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K
+26391,29, State-gov,106972, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+26392,33, Private,131934, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+26393,33, Local-gov,365908, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,2105,0,40, United-States, <=50K
+26394,46, Local-gov,359193, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+26395,35, Private,261012, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+26396,36, Private,272944, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+26397,25, Private,113654, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K
+26398,35, Private,218955, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26399,30, Private,115963, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,42, United-States, <=50K
+26400,39, Private,80638, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,84, United-States, >50K
+26401,37, Private,147258, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+26402,22, Private,214635, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K
+26403,25, Private,200318, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+26404,50, Private,138270, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K
+26405,64, Federal-gov,388594, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, ?, >50K
+26406,33, Private,103435, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26407,59, Self-emp-inc,133201, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Italy, <=50K
+26408,24, Private,175183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26409,41, Private,99870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+26410,38, ?,107479, 9th,5, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K
+26411,60, Private,113440, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K
+26412,19, Private,85690, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,30, United-States, <=50K
+26413,23, Private,45713, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+26414,57, Self-emp-inc,376230, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K
+26415,36, Private,145576, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1977,40, Japan, >50K
+26416,17, ?,67808, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+26417,24, Private,113936, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+26418,32, Private,158291, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+26419,27, Private,193898, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+26420,43, Private,191982, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K
+26421,21, ?,72953, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+26422,54, Private,271160, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26423,22, Private,33087, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+26424,29, Private,106153, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+26425,22, Private,29444, 12th,8, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K
+26426,37, Private,105021, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+26427,38, Self-emp-not-inc,239045, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26428,34, Private,94413, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26429,45, Private,20534, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K
+26430,28, Private,350254, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+26431,68, Private,194746, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, Cuba, <=50K
+26432,36, Private,269042, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K
+26433,20, Private,447488, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,30, Mexico, <=50K
+26434,24, Private,267706, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,45, United-States, <=50K
+26435,38, Private,198216, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+26436,32, Private,227931, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26437,34, Private,252646, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K
+26438,47, Private,223342, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,2174,0,40, England, <=50K
+26439,28, Private,181776, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K
+26440,32, Private,132601, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26441,58, Private,205410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26442,64, Self-emp-inc,185912, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K
+26443,38, Private,292570, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K
+26444,43, Private,76460, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26445,28, Private,295163, 12th,8, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26446,21, Private,27255, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, ?, <=50K
+26447,23, Private,69847, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+26448,25, Private,104993, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Male,2907,0,40, United-States, <=50K
+26449,41, Private,322980, HS-grad,9, Separated, Adm-clerical, Not-in-family, Black, Male,2354,0,40, United-States, <=50K
+26450,24, ?,390608, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K
+26451,41, Private,317539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+26452,27, Private,195678, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+26453,54, Private,466502, 7th-8th,4, Widowed, Other-service, Unmarried, White, Male,0,0,30, United-States, <=50K
+26454,28, Local-gov,220754, HS-grad,9, Separated, Transport-moving, Own-child, White, Female,0,0,25, United-States, <=50K
+26455,29, Private,202878, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2042,40, United-States, <=50K
+26456,36, Private,343476, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+26457,41, Self-emp-inc,93227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1977,60, Taiwan, >50K
+26458,60, Self-emp-not-inc,38622, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26459,34, State-gov,173730, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K
+26460,32, Private,178623, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, ?, <=50K
+26461,27, Private,300783, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K
+26462,60, Private,224644, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26463,39, Private,191502, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26464,59, Private,61885, 12th,8, Divorced, Transport-moving, Other-relative, Black, Male,0,0,35, United-States, <=50K
+26465,34, Self-emp-not-inc,213887, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, Canada, >50K
+26466,36, Private,331395, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26467,54, Private,145098, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26468,48, Private,123075, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+26469,19, Private,216804, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,33, United-States, <=50K
+26470,40, Private,188291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26471,25, Private,33610, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26472,39, Private,234901, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+26473,34, Self-emp-not-inc,349148, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26474,30, Private,168443, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+26475,43, Private,211860, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,24, United-States, <=50K
+26476,35, Private,193961, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+26477,36, Local-gov,52532, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K
+26478,59, Self-emp-not-inc,75804, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K
+26479,33, Self-emp-not-inc,176185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26480,22, Private,306779, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+26481,48, Private,265192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+26482,54, Private,139347, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26483,49, Private,107682, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+26484,37, Private,34173, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26485,45, Private,128378, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+26486,51, Self-emp-inc,195638, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26487,46, Private,59287, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26488,31, Self-emp-not-inc,162442, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+26489,29, ?,350603, 10th,6, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K
+26490,39, Private,344743, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0,0,50, United-States, >50K
+26491,35, Private,112077, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K
+26492,26, Private,176795, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, >50K
+26493,51, Private,137815, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+26494,31, Private,309620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,6, South, <=50K
+26495,39, Private,336880, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+26496,26, Private,206600, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,30, Mexico, <=50K
+26497,25, Private,193051, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, <=50K
+26498,61, Federal-gov,229062, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K
+26499,49, Private,62793, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+26500,53, Private,264939, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K
+26501,52, Private,370552, Preschool,1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K
+26502,52, Private,163678, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+26503,74, ?,89667, Bachelors,13, Widowed, ?, Not-in-family, Other, Female,0,0,35, United-States, <=50K
+26504,50, Private,558490, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+26505,29, Private,124680, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,13550,0,35, United-States, >50K
+26506,76, Private,208843, 7th-8th,4, Widowed, Protective-serv, Not-in-family, White, Male,0,0,30, United-States, <=50K
+26507,19, Private,95078, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+26508,25, Private,169679, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+26509,45, Private,101320, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26510,34, Private,168906, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+26511,20, Private,212582, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+26512,66, ?,170617, Masters,14, Widowed, ?, Not-in-family, White, Male,0,0,6, United-States, <=50K
+26513,63, ?,170529, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,45, United-States, <=50K
+26514,27, Private,99897, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+26515,41, Private,104892, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K
+26516,43, Private,175224, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, Nicaragua, <=50K
+26517,23, Private,149704, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+26518,37, Federal-gov,214542, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+26519,31, Private,167319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26520,33, State-gov,43716, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, United-States, <=50K
+26521,28, Private,191935, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+26522,70, ?,158642, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2993,0,20, United-States, <=50K
+26523,35, Private,338611, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26524,41, Private,136419, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K
+26525,17, Private,72321, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,12, United-States, <=50K
+26526,41, Local-gov,189956, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K
+26527,44, Private,403782, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26528,47, Private,456661, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+26529,24, Private,279041, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+26530,38, Self-emp-not-inc,65716, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+26531,34, Private,189809, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,52, Jamaica, <=50K
+26532,62, Local-gov,223637, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+26533,27, Local-gov,199343, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K
+26534,59, Private,139344, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+26535,35, Private,119098, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26536,38, Private,195025, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+26537,28, Private,186720, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K
+26538,28, Private,328923, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,38, United-States, <=50K
+26539,59, State-gov,159472, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+26540,42, Private,138662, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+26541,54, Local-gov,286342, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, >50K
+26542,39, Private,181705, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+26543,41, Private,193882, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+26544,43, Private,216497, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K
+26545,32, Self-emp-inc,124919, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,50, Iran, >50K
+26546,62, Private,109463, Some-college,10, Separated, Sales, Unmarried, White, Female,0,1617,33, United-States, <=50K
+26547,58, Private,256274, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26548,43, Private,326379, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26549,67, ?,174995, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,2457,40, United-States, <=50K
+26550,31, Private,243142, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+26551,51, Local-gov,155118, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, >50K
+26552,54, Private,189607, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,36, United-States, <=50K
+26553,20, Private,39478, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,70, United-States, <=50K
+26554,35, Private,206951, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26555,22, Private,127647, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K
+26556,38, Private,234298, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,6849,0,60, United-States, <=50K
+26557,42, Private,182302, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26558,44, State-gov,166597, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+26559,28, Self-emp-not-inc,33363, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K
+26560,74, Self-emp-inc,167537, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+26561,34, Private,179378, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K
+26562,50, State-gov,297551, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, <=50K
+26563,50, Private,198362, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+26564,43, Private,240504, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26565,29, Self-emp-not-inc,169662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26566,30, ?,164940, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,25, United-States, <=50K
+26567,61, Private,210488, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+26568,21, Private,154835, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+26569,27, Private,333296, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, ?, <=50K
+26570,47, Private,192793, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K
+26571,39, Private,49436, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,1380,40, United-States, <=50K
+26572,33, Private,136331, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26573,22, Private,509048, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,37, United-States, <=50K
+26574,38, Private,318610, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+26575,45, Private,104521, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26576,42, Private,247695, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+26577,35, Private,219546, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, Germany, <=50K
+26578,21, Private,169699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26579,49, State-gov,131302, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,44, United-States, <=50K
+26580,50, Private,171852, Bachelors,13, Separated, Prof-specialty, Own-child, Other, Female,0,0,40, United-States, <=50K
+26581,36, State-gov,340091, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K
+26582,20, Private,204641, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+26583,49, Private,213431, HS-grad,9, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+26584,40, State-gov,377018, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+26585,22, Private,184543, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26586,60, ?,188236, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26587,67, Private,233022, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+26588,21, Private,177420, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K
+26589,60, Self-emp-not-inc,21101, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K
+26590,17, Private,52486, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+26591,43, Private,183273, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,32, United-States, >50K
+26592,49, State-gov,36177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+26593,41, Private,124956, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Female,99999,0,60, United-States, >50K
+26594,38, Private,102350, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+26595,38, Private,165930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26596,35, Private,297574, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K
+26597,40, Private,120277, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26598,23, ?,87569, Some-college,10, Separated, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26599,19, ?,278220, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,40, United-States, <=50K
+26600,40, Private,155972, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+26601,46, State-gov,162852, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26602,25, Private,64860, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,22, United-States, <=50K
+26603,36, Private,226013, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5178,0,40, United-States, >50K
+26604,24, Private,322674, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K
+26605,62, Private,202242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+26606,54, Private,175262, Preschool,1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+26607,23, Private,201682, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+26608,60, Private,166330, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+26609,18, Self-emp-inc,147612, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,8, United-States, <=50K
+26610,41, Local-gov,213154, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K
+26611,45, Local-gov,33798, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26612,62, State-gov,199198, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+26613,28, Private,90915, Bachelors,13, Married-spouse-absent, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+26614,36, Self-emp-inc,337778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Yugoslavia, >50K
+26615,31, Private,187203, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+26616,44, Private,261497, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K
+26617,33, Self-emp-not-inc,361817, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+26618,62, Self-emp-not-inc,226546, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K
+26619,27, Private,100168, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+26620,42, Federal-gov,272625, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, >50K
+26621,55, Private,254516, 9th,5, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,37, United-States, <=50K
+26622,41, Private,207375, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+26623,26, Private,39092, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,50, United-States, <=50K
+26624,45, Private,48271, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+26625,67, Self-emp-not-inc,152102, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K
+26626,25, Private,234665, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+26627,30, Self-emp-inc,127651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,48, United-States, >50K
+26628,22, Private,180060, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+26629,19, Private,32477, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+26630,26, Private,137658, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+26631,61, Private,228287, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+26632,32, Private,159442, Prof-school,15, Never-married, Sales, Not-in-family, White, Female,13550,0,50, United-States, >50K
+26633,43, Private,33310, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26634,53, Private,270546, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K
+26635,53, Federal-gov,290290, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26636,42, Self-emp-inc,287037, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K
+26637,36, Private,128516, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+26638,55, Self-emp-not-inc,185195, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K
+26639,35, Federal-gov,49657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+26640,17, Private,98005, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+26641,55, Self-emp-not-inc,283635, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+26642,36, Private,98360, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26643,40, Local-gov,202872, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+26644,54, Self-emp-not-inc,118365, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K
+26645,45, Self-emp-not-inc,184285, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26646,48, Private,345831, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+26647,40, Local-gov,99679, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K
+26648,31, Private,253354, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+26649,26, Private,190650, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+26650,34, Private,287737, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K
+26651,19, Private,204389, HS-grad,9, Never-married, Adm-clerical, Own-child, Other, Female,0,0,25, Puerto-Rico, <=50K
+26652,31, Federal-gov,294870, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26653,34, Private,159442, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26654,55, Local-gov,161662, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+26655,38, Private,52738, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26656,21, Private,252024, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, Mexico, <=50K
+26657,27, Private,189702, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26658,35, Private,407913, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+26659,20, Private,166527, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,20, United-States, <=50K
+26660,24, Self-emp-not-inc,34918, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K
+26661,27, Private,142712, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, ?, <=50K
+26662,18, Federal-gov,201686, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,4, United-States, <=50K
+26663,28, Local-gov,179759, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26664,36, Private,94954, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26665,66, Private,350498, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1258,20, United-States, <=50K
+26666,19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+26667,59, Self-emp-not-inc,119344, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K
+26668,33, Private,149726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,46, United-States, <=50K
+26669,28, Private,419146, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+26670,34, Private,174789, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,2001,40, United-States, <=50K
+26671,41, Private,171234, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K
+26672,30, Private,206325, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+26673,59, Private,202682, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26674,42, Private,121055, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+26675,47, Private,160187, HS-grad,9, Separated, Prof-specialty, Other-relative, Black, Female,14084,0,38, United-States, >50K
+26676,29, Private,84366, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K
+26677,60, Private,139391, Some-college,10, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, >50K
+26678,53, Local-gov,124094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,35, United-States, <=50K
+26679,41, Private,30759, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+26680,32, Private,137875, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+26681,73, ?,139049, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,22, United-States, >50K
+26682,20, Private,238384, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26683,49, Private,340755, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26684,36, Local-gov,224947, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+26685,33, State-gov,111994, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+26686,25, Private,125491, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,34, United-States, <=50K
+26687,34, ?,310525, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,10, United-States, <=50K
+26688,19, ?,71592, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+26689,40, Local-gov,99185, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+26690,48, Private,249935, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K
+26691,51, Private,206775, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+26692,22, Private,230704, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, Jamaica, <=50K
+26693,34, Private,242361, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, <=50K
+26694,22, Private,134746, 10th,6, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+26695,34, Self-emp-inc,198613, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,40, United-States, <=50K
+26696,56, Private,174040, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26697,49, Private,165953, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, <=50K
+26698,36, Private,273604, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26699,18, Private,192409, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+26700,26, Self-emp-not-inc,102476, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+26701,48, Private,234504, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+26702,35, Self-emp-not-inc,468713, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26703,29, Private,84560, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+26704,47, Private,148995, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26705,21, Private,34816, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, <=50K
+26706,28, Private,211184, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+26707,53, Private,33304, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+26708,65, Federal-gov,179985, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26709,26, Private,219815, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26710,50, Private,134766, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+26711,26, Private,106548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+26712,70, Private,89787, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+26713,55, Private,164857, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+26714,27, Federal-gov,257124, Bachelors,13, Never-married, Transport-moving, Other-relative, White, Male,0,0,35, United-States, <=50K
+26715,31, Private,227446, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K
+26716,43, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K
+26717,24, Private,189749, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26718,22, Private,176321, 7th-8th,4, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+26719,26, Private,284250, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+26720,23, Private,101885, 10th,6, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26721,41, Self-emp-not-inc,134130, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+26722,52, Private,260938, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26723,41, Self-emp-not-inc,238184, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K
+26724,59, Self-emp-not-inc,148626, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+26725,56, Self-emp-not-inc,48102, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,50, United-States, >50K
+26726,58, Private,234213, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,14344,0,48, United-States, >50K
+26727,65, Private,113323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26728,24, Local-gov,34246, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+26729,51, Private,175070, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,45, United-States, >50K
+26730,31, Private,279680, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+26731,84, Private,188328, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K
+26732,51, Private,96609, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26733,24, Local-gov,84257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+26734,30, Private,275632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+26735,22, Private,385540, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+26736,30, Private,196342, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Ireland, <=50K
+26737,47, Private,97176, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+26738,19, Private,197714, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+26739,43, Self-emp-not-inc,147099, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K
+26740,30, Private,186346, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+26741,46, Private,73434, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+26742,49, Local-gov,275074, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+26743,37, Private,209214, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K
+26744,42, Private,210525, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26745,57, Private,372020, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,50, United-States, <=50K
+26746,46, Private,176684, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26747,23, Private,210474, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+26748,26, Private,293690, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, >50K
+26749,64, Private,149775, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,8, United-States, <=50K
+26750,20, Private,323009, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K
+26751,31, Private,126950, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26752,38, Private,172538, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K
+26753,44, Private,115411, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26754,42, Self-emp-not-inc,101709, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,2885,0,40, United-States, <=50K
+26755,23, Private,265356, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+26756,31, Local-gov,192565, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, >50K
+26757,35, Self-emp-not-inc,348771, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+26758,30, Self-emp-not-inc,148959, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K
+26759,35, Private,126569, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K
+26760,40, Private,105936, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K
+26761,18, Private,188076, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+26762,23, Private,184400, 10th,6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, ?, <=50K
+26763,63, Private,124242, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+26764,20, State-gov,200819, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+26765,50, Local-gov,100480, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+26766,49, Private,129513, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+26767,53, Self-emp-not-inc,297796, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+26768,34, Private,195488, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+26769,54, Private,153486, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,56, United-States, >50K
+26770,40, Private,126845, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+26771,22, Private,206974, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26772,28, Private,412149, 10th,6, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K
+26773,24, Private,653574, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+26774,37, Private,70562, 1st-4th,2, Never-married, Other-service, Unmarried, White, Female,0,0,48, El-Salvador, <=50K
+26775,62, Private,197514, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,16, United-States, <=50K
+26776,19, ?,309284, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26777,51, Private,334679, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+26778,65, Private,105116, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,2346,0,40, United-States, <=50K
+26779,31, Private,151484, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K
+26780,42, Self-emp-inc,78765, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,90, United-States, >50K
+26781,42, Private,98427, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K
+26782,54, Private,230767, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K
+26783,23, Private,117606, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,60, United-States, <=50K
+26784,28, Private,68642, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,46, United-States, <=50K
+26785,42, Private,341638, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26786,30, Private,65920, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+26787,33, Federal-gov,188246, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26788,33, Private,198727, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26789,39, Private,160728, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,2977,0,40, United-States, <=50K
+26790,27, Private,706026, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+26791,20, ?,348148, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+26792,62, Private,77884, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+26793,17, Private,160758, 10th,6, Never-married, Sales, Other-relative, White, Male,0,0,30, United-States, <=50K
+26794,58, Private,201112, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,55, United-States, >50K
+26795,69, Self-emp-inc,107850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514,0,40, United-States, >50K
+26796,34, Private,230246, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+26797,34, Private,203034, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,2824,50, United-States, >50K
+26798,20, Private,373935, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+26799,64, Federal-gov,341695, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+26800,27, Private,119793, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, ?, <=50K
+26801,41, Private,178002, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+26802,40, Private,233130, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K
+26803,53, Local-gov,192982, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K
+26804,44, Private,33155, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26805,37, Private,187346, 5th-6th,3, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, Mexico, <=50K
+26806,46, Private,78529, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K
+26807,17, Private,101626, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+26808,35, Private,117567, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26809,36, Local-gov,110791, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+26810,49, State-gov,207120, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+26811,48, Private,43206, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K
+26812,26, Private,120238, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+26813,26, Private,189219, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K
+26814,35, State-gov,190895, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26815,29, Private,83517, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26816,54, Private,35557, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K
+26817,36, Local-gov,59313, Some-college,10, Separated, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+26818,25, Private,202033, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+26819,18, Local-gov,55658, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+26820,21, Private,118186, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K
+26821,22, Private,279901, HS-grad,9, Married-civ-spouse, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+26822,52, Private,110954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, El-Salvador, >50K
+26823,36, Self-emp-not-inc,90159, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+26824,25, Private,122489, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1726,60, United-States, <=50K
+26825,49, Self-emp-not-inc,43348, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,70, United-States, >50K
+26826,42, Private,34278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+26827,37, Private,37778, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, <=50K
+26828,39, Private,160623, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+26829,32, Private,342458, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26830,53, Private,64322, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26831,30, Private,373914, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26832,51, Private,205884, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K
+26833,62, Local-gov,208266, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+26834,38, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+26835,23, Private,348420, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26836,39, Private,136081, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K
+26837,37, Federal-gov,197284, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+26838,27, ?,204773, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+26839,41, Private,206066, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26840,47, Self-emp-not-inc,61885, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+26841,25, Private,299908, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K
+26842,35, Private,46028, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+26843,47, Private,239865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,45, United-States, >50K
+26844,30, Private,154587, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K
+26845,29, Private,244473, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,2051,40, United-States, <=50K
+26846,36, Private,32334, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+26847,42, Private,319588, Bachelors,13, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+26848,51, Private,226735, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+26849,34, Private,226443, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+26850,44, Self-emp-inc,359259, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, Portugal, <=50K
+26851,27, Private,36851, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,41, United-States, <=50K
+26852,39, Private,393480, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+26853,46, Private,33109, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+26854,32, Self-emp-not-inc,188246, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,1590,62, United-States, <=50K
+26855,31, Private,231569, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,50, United-States, <=50K
+26856,23, Private,353010, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+26857,47, Private,102628, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+26858,66, Private,262285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, <=50K
+26859,26, Private,160300, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+26860,52, Private,156953, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+26861,53, Self-emp-inc,136823, 11th,7, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26862,48, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K
+26863,37, Self-emp-inc,86459, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K
+26864,17, Private,238628, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,5, United-States, <=50K
+26865,50, Private,339954, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26866,28, ?,222005, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, Mexico, <=50K
+26867,17, Federal-gov,99893, 11th,7, Never-married, Adm-clerical, Not-in-family, Black, Female,0,1602,40, United-States, <=50K
+26868,39, Private,214117, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+26869,28, Federal-gov,298661, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+26870,38, Private,179488, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26871,53, Private,48343, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, >50K
+26872,28, Local-gov,100270, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26873,42, Private,227065, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,32, United-States, >50K
+26874,40, Private,126701, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+26875,20, Private,209131, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+26876,32, State-gov,400132, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+26877,23, State-gov,278155, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+26878,25, Private,139012, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,2174,0,40, Vietnam, <=50K
+26879,41, Private,178431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K
+26880,42, Private,511068, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+26881,18, Private,199039, 12th,8, Never-married, Sales, Own-child, White, Male,594,0,14, United-States, <=50K
+26882,29, Local-gov,190525, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,60, Germany, >50K
+26883,36, Private,115700, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+26884,34, Private,167832, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26885,34, Private,218164, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,44, United-States, <=50K
+26886,48, State-gov,171926, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+26887,36, Self-emp-inc,242080, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K
+26888,67, Federal-gov,223257, HS-grad,9, Widowed, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+26889,53, Private,386773, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K
+26890,53, Self-emp-not-inc,105478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K
+26891,45, Private,140644, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K
+26892,22, Private,205970, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+26893,25, Private,216583, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, <=50K
+26894,61, Private,162432, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26895,31, Local-gov,83671, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+26896,47, Self-emp-inc,205100, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, Germany, <=50K
+26897,31, Private,195750, 1st-4th,2, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+26898,17, Private,220562, 9th,5, Never-married, Sales, Other-relative, Other, Female,0,0,32, Mexico, <=50K
+26899,38, Self-emp-inc,312232, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+26900,23, Private,386337, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K
+26901,42, Private,86185, Some-college,10, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+26902,78, Private,105586, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,36, United-States, <=50K
+26903,54, Private,103345, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26904,26, Local-gov,150553, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K
+26905,30, Private,26009, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+26906,46, Private,149388, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26907,26, Private,151626, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+26908,30, Private,169583, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+26909,66, Local-gov,174486, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,20051,0,35, Jamaica, >50K
+26910,23, Private,160951, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,2597,0,40, United-States, <=50K
+26911,25, Private,213383, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+26912,32, Self-emp-inc,103078, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26913,25, Local-gov,109526, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+26914,51, Private,142835, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+26915,24, State-gov,43475, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+26916,22, Private,190916, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+26917,28, Private,175987, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26918,29, Local-gov,214385, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K
+26919,26, Private,192652, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+26920,41, Federal-gov,207685, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+26921,19, Private,143857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+26922,39, Private,163392, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,26, ?, <=50K
+26923,51, Private,310774, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26924,29, ?,427965, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K
+26925,27, Private,279608, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+26926,33, Private,312881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+26927,19, Private,175083, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+26928,67, ?,132057, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, <=50K
+26929,41, Private,32878, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+26930,29, Federal-gov,360527, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26931,28, Private,99478, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+26932,25, Private,113035, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+26933,21, Federal-gov,99199, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K
+26934,24, Local-gov,452640, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,14344,0,50, United-States, >50K
+26935,48, Private,236858, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,31, United-States, <=50K
+26936,46, Self-emp-inc,201865, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+26937,35, Private,268661, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+26938,35, Federal-gov,475324, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+26939,50, Private,117295, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26940,22, Private,65704, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K
+26941,45, Private,192835, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+26942,62, Local-gov,76720, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+26943,39, Local-gov,180686, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K
+26944,33, Local-gov,133876, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+26945,22, Private,123727, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26946,50, Private,129956, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+26947,25, Private,96268, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+26948,44, Private,317320, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+26949,26, Private,86872, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+26950,31, State-gov,100863, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, >50K
+26951,56, Private,164332, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K
+26952,49, Self-emp-not-inc,122584, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+26953,49, Private,34377, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+26954,46, Private,162030, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K
+26955,33, Private,199170, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+26956,25, Private,470203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26957,40, Private,266803, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+26958,72, ?,188009, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+26959,32, State-gov,513416, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, United-States, <=50K
+26960,44, Private,98211, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+26961,48, Private,196107, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+26962,17, Private,108273, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K
+26963,50, Private,213290, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,36, United-States, >50K
+26964,61, Private,96660, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,34, United-States, >50K
+26965,22, Local-gov,412316, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+26966,17, Private,120068, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K
+26967,49, Self-emp-inc,101722, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+26968,26, Private,120268, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+26969,19, State-gov,144429, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K
+26970,17, Private,271122, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+26971,38, Private,255621, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+26972,34, Local-gov,90934, Assoc-voc,11, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+26973,51, Private,162745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K
+26974,48, Private,128460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K
+26975,63, Private,30813, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+26976,19, Private,164585, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+26977,73, Private,148003, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051,0,36, United-States, >50K
+26978,51, Private,215647, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K
+26979,38, Private,300975, Masters,14, Married-civ-spouse, Other-service, Husband, Black, Male,0,1485,40, ?, <=50K
+26980,54, Private,421561, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+26981,41, Private,149909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K
+26982,65, ?,240857, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2377,40, United-States, >50K
+26983,36, Self-emp-not-inc,138940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K
+26984,42, Private,66755, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K
+26985,38, Private,103323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+26986,20, ?,117222, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+26987,37, State-gov,29145, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+26988,35, State-gov,184659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K
+26989,51, Self-emp-not-inc,20795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+26990,23, Private,311376, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+26991,27, State-gov,122660, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+26992,19, ?,137578, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K
+26993,37, Private,193689, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K
+26994,29, Private,144556, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+26995,33, Private,228696, 1st-4th,2, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,2603,32, Mexico, <=50K
+26996,60, Private,184183, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+26997,22, Private,243178, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+26998,22, ?,236330, Some-college,10, Never-married, ?, Own-child, Black, Male,0,1721,20, United-States, <=50K
+26999,60, State-gov,190682, Assoc-voc,11, Widowed, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+27000,35, Private,233786, 11th,7, Separated, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K
+27001,45, Private,102202, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27002,30, Private,95299, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K
+27003,43, Self-emp-inc,240504, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+27004,32, State-gov,169973, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+27005,35, Private,144937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+27006,32, Private,211751, Assoc-voc,11, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27007,61, Private,84587, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+27008,40, State-gov,150874, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,1506,0,40, United-States, <=50K
+27009,20, ?,187332, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+27010,42, Self-emp-inc,188615, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+27011,21, Private,119704, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+27012,21, Private,275190, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+27013,26, Private,417941, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27014,36, State-gov,196348, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+27015,24, Private,221955, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+27016,47, Private,173938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K
+27017,51, Private,123429, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Male,0,0,30, United-States, <=50K
+27018,65, ?,143732, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27019,61, Private,203126, Bachelors,13, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,12, ?, <=50K
+27020,67, Private,174693, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,25, Nicaragua, <=50K
+27021,49, Private,357540, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+27022,63, ?,29859, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1485,40, United-States, >50K
+27023,58, Private,314092, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,48, United-States, >50K
+27024,61, Private,280088, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+27025,36, Private,257380, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K
+27026,19, Private,165306, Some-college,10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+27027,29, Self-emp-not-inc,109001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+27028,43, Private,266439, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K
+27029,60, Self-emp-not-inc,153356, HS-grad,9, Divorced, Sales, Not-in-family, Black, Male,2597,0,55, United-States, <=50K
+27030,21, Private,32950, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+27031,22, Private,182163, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+27032,33, Private,188246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+27033,36, Private,297335, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, China, <=50K
+27034,37, Private,108366, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K
+27035,35, Private,328301, Assoc-acdm,12, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+27036,17, Private,182158, 10th,6, Never-married, Priv-house-serv, Own-child, White, Male,0,0,30, United-States, <=50K
+27037,37, Private,169426, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+27038,22, ?,330571, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27039,28, Private,535978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27040,42, Private,29393, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27041,57, Self-emp-inc,258883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,60, Hungary, >50K
+27042,26, Private,369166, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Female,0,0,65, United-States, <=50K
+27043,45, Local-gov,257855, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K
+27044,32, Private,164197, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+27045,63, Private,109517, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K
+27046,22, Private,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K
+27047,36, Private,160035, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+27048,45, State-gov,50567, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+27049,34, Self-emp-not-inc,140011, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+27050,27, State-gov,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+27051,20, ?,183083, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+27052,47, Self-emp-not-inc,159869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, >50K
+27053,46, Private,102542, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,52, United-States, <=50K
+27054,28, Private,297742, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+27055,45, Private,176917, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+27056,26, Private,165235, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Thailand, <=50K
+27057,32, Self-emp-not-inc,52647, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+27058,30, Local-gov,48542, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+27059,59, Private,279232, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+27060,58, State-gov,259929, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, >50K
+27061,45, Private,221780, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+27062,76, Self-emp-not-inc,253408, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27063,38, Private,298841, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27064,32, Private,321313, Masters,14, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+27065,38, Self-emp-not-inc,64875, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27066,30, Private,275232, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,36, United-States, <=50K
+27067,53, Self-emp-inc,134854, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, >50K
+27068,41, Private,67339, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K
+27069,27, State-gov,192355, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27070,44, Local-gov,208528, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+27071,35, Private,160120, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+27072,36, Private,250238, 1st-4th,2, Never-married, Other-service, Other-relative, Other, Female,0,0,40, El-Salvador, <=50K
+27073,51, Private,25031, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K
+27074,42, Local-gov,255847, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+27075,40, Self-emp-not-inc,26892, Bachelors,13, Married-AF-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K
+27076,45, Private,111979, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+27077,55, Private,408537, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,99999,0,37, United-States, >50K
+27078,36, Private,231037, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+27079,57, Federal-gov,30030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+27080,27, Private,292120, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27081,62, Private,138253, Masters,14, Never-married, Handlers-cleaners, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+27082,29, Private,190777, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+27083,38, Self-emp-not-inc,41591, Bachelors,13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+27084,29, Private,186733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+27085,18, ?,78567, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+27086,19, ?,140590, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K
+27087,32, Local-gov,230912, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,40, United-States, <=50K
+27088,34, Private,176185, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+27089,25, Private,182227, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K
+27090,34, Local-gov,205704, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+27091,37, State-gov,24342, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K
+27092,37, Private,138192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+27093,18, Private,334676, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+27094,24, Private,177526, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+27095,17, Private,152696, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+27096,35, Private,114765, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27097,31, Private,265509, Assoc-voc,11, Separated, Tech-support, Unmarried, Black, Female,0,0,32, United-States, <=50K
+27098,29, Private,180758, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+27099,49, Self-emp-not-inc,127921, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27100,71, ?,177906, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K
+27101,35, Federal-gov,182898, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+27102,55, Self-emp-not-inc,422249, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+27103,37, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+27104,33, Local-gov,190027, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,18, United-States, <=50K
+27105,49, Private,281647, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+27106,32, Private,117963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+27107,63, ?,319121, 11th,7, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27108,39, Private,225504, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27109,42, Local-gov,104334, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, El-Salvador, <=50K
+27110,30, State-gov,48214, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+27111,30, Private,145714, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27112,48, Self-emp-inc,38240, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+27113,57, Self-emp-not-inc,27385, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K
+27114,56, Private,204254, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,45, United-States, <=50K
+27115,28, Private,411587, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Honduras, <=50K
+27116,43, Private,221172, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, >50K
+27117,46, Private,54190, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+27118,60, Private,93997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+27119,50, Local-gov,24139, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K
+27120,37, Private,112497, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+27121,41, Private,138907, HS-grad,9, Divorced, Priv-house-serv, Other-relative, Black, Female,0,0,40, United-States, <=50K
+27122,38, Private,186325, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, >50K
+27123,23, Private,199452, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+27124,59, Private,126677, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27125,72, Private,107814, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,2329,0,60, United-States, <=50K
+27126,47, Local-gov,93618, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,33, United-States, <=50K
+27127,29, Private,353352, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+27128,35, Private,143058, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+27129,24, Private,239663, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K
+27130,22, Private,167615, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+27131,24, Private,442274, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+27132,42, Private,149210, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K
+27133,55, Federal-gov,174533, Bachelors,13, Separated, Other-service, Unmarried, White, Female,0,0,72, ?, <=50K
+27134,40, State-gov,50093, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K
+27135,61, Private,270056, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K
+27136,58, Self-emp-not-inc,131991, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,72, United-States, <=50K
+27137,39, State-gov,126336, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27138,45, Self-emp-not-inc,341117, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+27139,25, Private,108505, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27140,69, ?,106566, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+27141,36, Private,74791, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Male,0,0,60, ?, <=50K
+27142,34, Private,24266, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+27143,45, Private,267967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+27144,27, ?,181284, 12th,8, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, <=50K
+27145,28, Private,102533, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27146,27, Private,69757, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+27147,41, State-gov,210094, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27148,18, State-gov,389147, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+27149,44, Private,210648, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+27150,47, Private,94809, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+27151,36, Local-gov,298717, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+27152,66, Private,236879, Preschool,1, Widowed, Priv-house-serv, Other-relative, White, Female,0,0,40, Guatemala, <=50K
+27153,33, Private,170148, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+27154,39, Local-gov,166497, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, >50K
+27155,30, Private,247156, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+27156,34, Self-emp-not-inc,204052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27157,62, Self-emp-not-inc,122246, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K
+27158,21, Private,180339, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27159,50, Self-emp-inc,155574, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K
+27160,30, Private,114912, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K
+27161,43, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27162,19, Private,112269, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+27163,26, Federal-gov,171928, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Japan, <=50K
+27164,50, Private,95435, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,65, Canada, <=50K
+27165,45, Federal-gov,179638, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+27166,46, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+27167,17, Private,721712, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K
+27168,56, Private,197369, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27169,25, Private,353795, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103,0,40, United-States, >50K
+27170,47, Private,334679, Masters,14, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,42, India, <=50K
+27171,23, Private,235853, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+27172,51, Self-emp-not-inc,353281, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+27173,19, Private,203061, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,25, United-States, <=50K
+27174,33, Self-emp-not-inc,62932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27175,32, Private,118551, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K
+27176,52, Private,99184, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27177,36, Private,189674, Some-college,10, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K
+27178,34, Private,226883, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27179,26, ?,109564, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+27180,26, Self-emp-inc,66872, 12th,8, Married-civ-spouse, Sales, Husband, Other, Male,0,0,98, Dominican-Republic, <=50K
+27181,35, Local-gov,268292, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27182,58, Federal-gov,139290, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27183,32, Private,206541, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+27184,23, Private,203139, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+27185,28, Self-emp-not-inc,294398, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27186,20, Private,386864, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K
+27187,17, Private,369909, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+27188,56, Private,89922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,45, United-States, >50K
+27189,26, Private,176008, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27190,43, State-gov,241506, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,36, United-States, <=50K
+27191,45, Self-emp-not-inc,174426, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+27192,34, Private,167497, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,50, United-States, >50K
+27193,54, Private,292673, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K
+27194,51, Local-gov,134808, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+27195,58, Self-emp-not-inc,95763, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+27196,49, Private,83622, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, White, Female,2597,0,40, United-States, <=50K
+27197,21, Private,222490, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27198,44, Private,29115, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27199,26, Private,66638, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+27200,39, Private,53926, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+27201,19, ?,43739, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+27202,37, Private,104359, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+27203,49, Private,124604, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K
+27204,45, Private,114797, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27205,60, Federal-gov,67320, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27206,28, Federal-gov,53147, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27207,23, Private,13769, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K
+27208,44, Private,202872, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27209,19, State-gov,149528, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K
+27210,37, Private,132879, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27211,41, Self-emp-not-inc,112362, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,38, United-States, <=50K
+27212,56, Federal-gov,156229, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+27213,44, Private,131650, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K
+27214,30, Private,154568, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,36, Vietnam, >50K
+27215,23, Private,132300, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27216,44, Private,124747, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103,0,40, United-States, >50K
+27217,38, Private,276559, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K
+27218,32, Private,106014, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K
+27219,57, Self-emp-not-inc,135134, Masters,14, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K
+27220,35, Private,86648, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+27221,48, Self-emp-not-inc,107231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+27222,32, Local-gov,113838, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,99, United-States, <=50K
+27223,76, Federal-gov,25319, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K
+27224,57, Local-gov,190561, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0,0,30, United-States, <=50K
+27225,58, ?,150031, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27226,51, Private,48343, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+27227,50, Private,211116, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+27228,38, Private,226311, HS-grad,9, Married-AF-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K
+27229,53, Private,283743, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K
+27230,59, Self-emp-not-inc,64102, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+27231,23, Private,234663, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+27232,44, Private,247880, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K
+27233,23, Private,615367, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27234,23, Private,163090, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+27235,44, Private,192225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27236,30, Private,370183, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+27237,28, Private,242482, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27238,46, Private,169953, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27239,34, Local-gov,144182, Preschool,1, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K
+27240,38, Private,125933, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,27828,0,45, United-States, >50K
+27241,26, Private,203777, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+27242,39, Private,210991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27243,28, Private,472580, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+27244,33, State-gov,200289, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,19, India, <=50K
+27245,43, Private,289669, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,2547,40, United-States, >50K
+27246,30, Private,110622, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K
+27247,59, State-gov,139616, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27248,26, Private,39212, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+27249,28, Private,51961, Some-college,10, Never-married, Tech-support, Own-child, Black, Male,0,0,24, United-States, <=50K
+27250,48, Self-emp-not-inc,117849, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27251,49, Private,50748, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,1506,0,35, United-States, <=50K
+27252,41, Self-emp-not-inc,170214, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2179,40, United-States, <=50K
+27253,20, Private,151790, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K
+27254,49, Private,168211, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+27255,37, State-gov,117651, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K
+27256,18, Private,157131, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K
+27257,61, Private,225970, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+27258,26, Private,177951, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K
+27259,66, Private,134130, Bachelors,13, Widowed, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K
+27260,68, Private,191581, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,3273,0,40, United-States, <=50K
+27261,27, Local-gov,199172, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,40, United-States, <=50K
+27262,66, Self-emp-not-inc,262552, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,7, United-States, <=50K
+27263,28, Private,66434, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K
+27264,26, Private,77661, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27265,25, ?,230856, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27266,46, Private,192835, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+27267,62, ?,181014, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+27268,35, Private,200445, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,1974,40, United-States, <=50K
+27269,26, Self-emp-not-inc,37918, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K
+27270,40, Private,111020, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27271,31, Private,244665, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, Honduras, <=50K
+27272,52, Private,312477, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27273,61, Self-emp-not-inc,243493, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,12, United-States, <=50K
+27274,39, State-gov,152023, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27275,25, Private,104193, HS-grad,9, Never-married, Other-service, Own-child, White, Female,114,0,40, United-States, <=50K
+27276,47, Private,170850, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K
+27277,33, Private,137088, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Ecuador, <=50K
+27278,17, Private,340557, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+27279,26, Private,298225, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+27280,25, Private,114150, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+27281,39, Self-emp-not-inc,194668, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K
+27282,33, Private,188246, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K
+27283,46, Federal-gov,330901, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+27284,27, Private,80165, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+27285,48, Private,83444, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K
+27286,29, Self-emp-not-inc,85572, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,5, United-States, <=50K
+27287,40, Private,116632, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+27288,24, Private,139989, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K
+27289,55, Private,135803, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1579,35, India, <=50K
+27290,56, Private,75785, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27291,25, Private,248612, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+27292,36, Private,28572, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+27293,26, Self-emp-not-inc,31143, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+27294,37, Private,216924, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, >50K
+27295,36, Private,549174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27296,23, Self-emp-not-inc,111296, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Mexico, <=50K
+27297,25, Private,208881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+27298,36, State-gov,243666, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+27299,37, Self-emp-not-inc,327164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, ?, <=50K
+27300,39, Self-emp-inc,131288, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K
+27301,35, Private,257416, Assoc-voc,11, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+27302,33, Private,215288, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+27303,31, Private,58582, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, <=50K
+27304,49, Private,199378, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,22, United-States, <=50K
+27305,34, Self-emp-not-inc,114185, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, ?, <=50K
+27306,40, Private,137421, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,60, Trinadad&Tobago, <=50K
+27307,27, Private,216481, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+27308,50, Self-emp-not-inc,196504, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,23, United-States, <=50K
+27309,38, Private,357870, 12th,8, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,50, United-States, <=50K
+27310,55, State-gov,256335, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K
+27311,49, Self-emp-not-inc,168191, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, Italy, <=50K
+27312,40, Private,215596, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, Other, Male,0,0,40, Mexico, <=50K
+27313,42, Private,184682, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K
+27314,51, Private,171914, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+27315,27, Private,288229, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,50, Laos, <=50K
+27316,30, State-gov,144064, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+27317,70, ?,54849, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K
+27318,40, Private,141583, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27319,43, Self-emp-not-inc,180985, Bachelors,13, Separated, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+27320,24, Private,148709, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27321,22, ?,174626, 7th-8th,4, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+27322,38, Private,184801, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+27323,52, Private,89054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27324,32, Private,147284, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+27325,33, Private,169973, Assoc-voc,11, Separated, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27326,21, Private,222993, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+27327,27, Private,41099, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27328,31, Private,33117, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27329,29, Private,162551, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, >50K
+27330,49, Private,122066, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,2603,40, Greece, <=50K
+27331,61, ?,42938, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,7, United-States, >50K
+27332,46, Private,389843, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K
+27333,37, Private,138940, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27334,56, Federal-gov,141877, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27335,37, Private,172722, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27336,26, Self-emp-not-inc,118523, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+27337,31, Private,227886, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+27338,36, Private,80743, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, South, <=50K
+27339,52, Private,199688, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+27340,40, Private,225823, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+27341,21, Private,176486, HS-grad,9, Married-spouse-absent, Exec-managerial, Other-relative, White, Female,0,0,60, United-States, <=50K
+27342,63, Private,175777, 10th,6, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27343,30, Private,295010, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27344,30, Private,437825, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Peru, <=50K
+27345,50, Private,270194, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+27346,41, Private,242089, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+27347,39, Self-emp-inc,117555, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+27348,23, Private,146499, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K
+27349,52, Private,222405, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,2377,40, United-States, <=50K
+27350,17, ?,216595, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K
+27351,46, Private,157991, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,625,40, United-States, <=50K
+27352,26, Private,373553, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,42, United-States, <=50K
+27353,30, Private,194827, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+27354,23, Private,60331, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27355,21, State-gov,96483, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,12, United-States, <=50K
+27356,39, Private,211154, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+27357,37, Local-gov,247750, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+27358,40, Self-emp-not-inc,204235, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K
+27359,38, Private,197113, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K
+27360,47, Private,178341, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,60, United-States, <=50K
+27361,20, Private,293297, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+27362,35, Private,35330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27363,62, State-gov,202056, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K
+27364,32, Private,61898, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K
+27365,42, Self-emp-inc,1097453, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+27366,32, Private,176992, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+27367,27, Private,295289, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K
+27368,53, Self-emp-inc,298215, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+27369,28, Self-emp-not-inc,209934, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Mexico, <=50K
+27370,26, Private,164938, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27371,47, Private,423222, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+27372,23, Private,124259, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K
+27373,70, Self-emp-inc,232871, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K
+27374,41, State-gov,73199, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+27375,43, State-gov,27661, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27376,65, Private,461715, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, ?, <=50K
+27377,40, Self-emp-not-inc,89413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K
+27378,64, Self-emp-not-inc,31826, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+27379,40, Private,279679, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27380,43, Private,221172, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+27381,50, Federal-gov,222020, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K
+27382,19, ?,181265, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+27383,32, Self-emp-not-inc,261056, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,2174,0,60, ?, <=50K
+27384,32, Private,204792, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+27385,42, Private,384508, 11th,7, Divorced, Sales, Unmarried, White, Male,1506,0,50, Mexico, <=50K
+27386,41, Private,288568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27387,30, Private,182714, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K
+27388,20, Private,471452, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+27389,45, State-gov,264052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27390,42, Private,146659, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K
+27391,24, Private,203027, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+27392,43, Private,218309, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K
+27393,28, Private,133625, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+27394,35, Private,45937, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27395,36, ?,389850, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Male,0,0,50, United-States, <=50K
+27396,38, Federal-gov,201617, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+27397,32, Local-gov,114733, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K
+27398,50, State-gov,97778, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+27399,34, Private,149507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+27400,35, Private,82622, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+27401,30, Private,48014, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, France, <=50K
+27402,61, State-gov,162678, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+27403,27, Private,213842, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K
+27404,61, Private,221447, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27405,18, Private,426836, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+27406,31, Local-gov,206609, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+27407,31, Private,50276, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+27408,20, Private,180497, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27409,35, Private,220585, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+27410,51, Private,202752, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27411,43, Private,75993, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+27412,18, Private,170544, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+27413,55, Private,115439, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+27414,59, Private,24384, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27415,21, Private,209067, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+27416,22, Private,65225, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+27417,60, Federal-gov,27466, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K
+27418,49, Federal-gov,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27419,21, Private,442131, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+27420,61, Private,243283, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+27421,64, Private,316627, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27422,63, Private,208862, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27423,27, Federal-gov,38645, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27424,23, Private,141272, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K
+27425,41, State-gov,29324, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+27426,18, ?,348588, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K
+27427,40, Private,124747, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,7298,0,40, United-States, >50K
+27428,55, Self-emp-not-inc,477867, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27429,17, Private,218361, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,12, United-States, <=50K
+27430,34, Self-emp-not-inc,156809, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1504,60, United-States, <=50K
+27431,24, Private,267945, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27432,30, Private,35724, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+27433,29, Private,187188, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K
+27434,52, Private,155983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27435,57, Federal-gov,414994, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27436,38, Private,103474, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27437,43, Private,211128, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+27438,61, Private,203445, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+27439,38, Private,38312, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K
+27440,51, Private,178241, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K
+27441,40, Private,260761, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K
+27442,41, Local-gov,36924, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27443,19, Private,292590, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+27444,28, Private,461929, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+27445,59, Private,189664, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27446,32, State-gov,190577, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+27447,31, Private,344200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27448,30, Private,337494, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K
+27449,54, Self-emp-not-inc,52634, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27450,33, Private,194901, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,2444,42, United-States, >50K
+27451,20, Private,170091, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+27452,27, ?,189399, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27453,32, Self-emp-not-inc,205072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+27454,35, Private,310290, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, Black, Female,0,0,40, United-States, <=50K
+27455,27, Private,134048, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27456,40, Private,91959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K
+27457,34, Private,153942, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27458,34, Local-gov,234096, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+27459,38, Private,185330, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K
+27460,28, Private,163772, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, United-States, <=50K
+27461,65, Private,83800, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,27, United-States, <=50K
+27462,61, Private,139391, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,16, United-States, <=50K
+27463,18, Private,478380, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+27464,35, Self-emp-inc,186845, Bachelors,13, Married-civ-spouse, Sales, Own-child, White, Male,5178,0,50, United-States, >50K
+27465,45, Private,262802, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+27466,68, ?,152157, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27467,25, Private,114483, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+27468,48, Private,118023, Prof-school,15, Divorced, Sales, Not-in-family, White, Male,0,0,13, United-States, <=50K
+27469,19, Private,220101, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27470,43, Private,219424, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, >50K
+27471,54, Private,186117, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+27472,47, Self-emp-not-inc,479611, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27473,25, Private,80312, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K
+27474,30, Private,108386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27475,67, ?,125926, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+27476,35, Private,177102, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+27477,26, Private,190762, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K
+27478,61, Private,180632, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27479,54, Private,88019, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,32, United-States, <=50K
+27480,50, Private,135339, 12th,8, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K
+27481,32, Private,100662, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Columbia, <=50K
+27482,34, Private,183557, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K
+27483,36, Private,160035, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27484,50, Private,306790, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27485,28, Private,269246, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+27486,22, Private,308334, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K
+27487,58, Private,215190, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+27488,27, Private,419146, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,75, Mexico, <=50K
+27489,62, Private,176839, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K
+27490,36, Self-emp-inc,184456, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,27828,0,55, United-States, >50K
+27491,21, Local-gov,309348, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,594,0,4, United-States, <=50K
+27492,41, Private,56795, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, England, <=50K
+27493,28, Private,201861, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+27494,33, Private,179509, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+27495,54, Private,291755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+27496,19, Private,243941, Some-college,10, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,1721,25, United-States, <=50K
+27497,76, Self-emp-not-inc,117169, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K
+27498,25, ?,100903, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K
+27499,34, Private,159322, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27500,40, Private,262872, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27501,22, Private,187052, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+27502,17, Private,277583, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+27503,55, Private,169071, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27504,51, Local-gov,96190, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+27505,26, Private,61603, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, Mexico, <=50K
+27506,44, Private,43711, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K
+27507,65, ?,197883, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K
+27508,54, Private,99434, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27509,34, Self-emp-not-inc,177639, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27510,42, Private,201723, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+27511,26, Private,222248, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K
+27512,39, Private,86143, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+27513,46, ?,228620, 11th,7, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27514,34, Private,346034, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K
+27515,59, Private,87510, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27516,20, Private,37932, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+27517,34, Private,185063, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+27518,62, ?,125493, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,5178,0,40, Scotland, >50K
+27519,51, Private,159755, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+27520,34, Private,108837, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+27521,47, Private,110669, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+27522,21, ?,220115, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+27523,30, Self-emp-not-inc,45427, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K
+27524,38, Private,154669, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+27525,45, Private,261278, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,5178,0,40, Philippines, >50K
+27526,23, Private,71864, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+27527,34, Private,173495, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+27528,22, Private,254293, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27529,31, Private,111883, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+27530,50, Private,146429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27531,19, Private,472807, 1st-4th,2, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,52, Mexico, <=50K
+27532,28, Private,285294, Bachelors,13, Married-civ-spouse, Sales, Wife, Black, Female,15024,0,45, United-States, >50K
+27533,23, Private,184665, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+27534,35, Private,205852, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+27535,28, Private,83879, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+27536,27, Private,178564, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+27537,46, Self-emp-inc,168796, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+27538,27, Private,269444, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27539,25, Private,47353, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+27540,34, Self-emp-inc,29254, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+27541,33, Private,155343, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+27542,36, Private,234271, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27543,30, Private,257849, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+27544,23, Private,228230, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,47, United-States, <=50K
+27545,36, Private,227615, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,32, Mexico, <=50K
+27546,29, Private,406826, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27547,50, Self-emp-not-inc,27539, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,40, United-States, >50K
+27548,19, Private,97261, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27549,20, ?,232022, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+27550,52, Federal-gov,168539, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+27551,20, Private,515797, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27552,22, Private,351381, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27553,34, Private,161018, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+27554,60, Private,26721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27555,19, Private,164123, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27556,59, Self-emp-not-inc,98418, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+27557,36, Private,29814, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,50, United-States, <=50K
+27558,25, Private,254613, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Cuba, <=50K
+27559,49, Private,207677, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K
+27560,25, Self-emp-not-inc,217030, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+27561,50, Private,171199, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+27562,44, Private,198270, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K
+27563,28, ?,131310, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+27564,33, Private,79923, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+27565,40, Self-emp-inc,475322, Bachelors,13, Separated, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+27566,56, Private,134286, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+27567,56, Self-emp-not-inc,73746, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27568,23, Private,125525, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,42, United-States, <=50K
+27569,38, ?,155676, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27570,21, Private,304949, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K
+27571,67, Private,150516, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K
+27572,54, State-gov,249096, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+27573,50, Local-gov,164127, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27574,59, Private,304779, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+27575,51, Private,157043, 11th,7, Widowed, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27576,30, Private,396538, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,29, United-States, <=50K
+27577,42, Private,510072, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27578,64, ?,200017, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27579,61, ?,60641, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27580,26, Private,89326, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27581,47, Private,200471, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K
+27582,78, Self-emp-not-inc,82815, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,3, United-States, >50K
+27583,24, Self-emp-not-inc,117210, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+27584,27, Private,202206, 11th,7, Separated, Farming-fishing, Other-relative, White, Male,0,0,40, Puerto-Rico, <=50K
+27585,51, Private,123429, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27586,46, Private,353512, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+27587,55, Self-emp-not-inc,26683, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+27588,20, Private,204641, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+27589,30, Private,225053, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+27590,36, ?,98776, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+27591,19, Private,263932, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+27592,30, Private,108247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+27593,31, Self-emp-not-inc,369648, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+27594,26, Private,339324, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,96, United-States, <=50K
+27595,59, ?,145574, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K
+27596,53, Private,317313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+27597,24, Local-gov,162919, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27598,24, Private,186314, Some-college,10, Separated, Prof-specialty, Own-child, White, Male,0,0,54, United-States, <=50K
+27599,36, Private,254202, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+27600,39, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27601,53, Private,287317, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,32, United-States, <=50K
+27602,75, Self-emp-inc,81534, HS-grad,9, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,35, United-States, >50K
+27603,36, Private,35945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27604,46, Self-emp-inc,204928, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27605,56, Self-emp-inc,208809, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+27606,29, Private,133625, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+27607,60, Private,71683, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,49, United-States, <=50K
+27608,58, Private,570562, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K
+27609,67, Self-emp-not-inc,36876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+27610,35, Private,253006, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,38, United-States, >50K
+27611,39, Self-emp-not-inc,50096, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+27612,37, Private,336880, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+27613,54, ?,135840, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+27614,63, Self-emp-not-inc,168048, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+27615,47, Private,187969, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+27616,23, Private,117363, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27617,55, Private,256526, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,4865,0,45, United-States, <=50K
+27618,49, Private,304416, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+27619,39, Private,248011, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K
+27620,23, Private,229826, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+27621,19, Private,159796, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+27622,44, Private,165346, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27623,25, Private,25386, Assoc-voc,11, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+27624,35, Private,491000, Assoc-voc,11, Divorced, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K
+27625,23, Local-gov,247731, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K
+27626,48, Private,180532, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27627,48, Private,189462, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,2176,0,40, United-States, <=50K
+27628,44, Private,419134, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27629,55, Self-emp-not-inc,170166, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K
+27630,33, Self-emp-not-inc,173495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+27631,18, Private,423024, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+27632,24, Private,72119, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,2202,0,30, United-States, <=50K
+27633,32, Local-gov,19302, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, England, >50K
+27634,24, State-gov,257621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27635,44, Self-emp-inc,118212, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K
+27636,27, Private,259840, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+27637,39, Private,115289, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, France, >50K
+27638,26, Local-gov,159662, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+27639,34, Private,379798, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27640,38, Private,227945, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K
+27641,41, State-gov,36999, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K
+27642,73, ?,131982, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,5, Vietnam, <=50K
+27643,32, Self-emp-inc,124052, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+27644,56, Local-gov,273084, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+27645,59, Private,170104, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+27646,44, Private,96249, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+27647,35, Private,140915, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,1590,40, South, <=50K
+27648,52, Private,230657, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,3781,0,40, Columbia, <=50K
+27649,30, Private,195576, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,3325,0,50, United-States, <=50K
+27650,23, Private,117767, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27651,43, Private,112763, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,8614,0,43, United-States, >50K
+27652,61, Private,79827, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+27653,38, Private,103925, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+27654,68, Private,161744, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K
+27655,41, Private,106679, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K
+27656,42, Self-emp-not-inc,196514, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27657,48, ?,61985, 9th,5, Separated, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+27658,19, Private,157605, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27659,31, Private,137367, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+27660,40, Self-emp-inc,110862, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,50, United-States, <=50K
+27661,32, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+27662,51, Self-emp-inc,98642, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,40, United-States, >50K
+27663,44, Local-gov,144778, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+27664,23, Private,177787, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,30, England, <=50K
+27665,30, ?,103651, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+27666,44, Private,162108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27667,24, Private,217602, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+27668,34, Private,473133, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+27669,17, Private,113301, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, ?, <=50K
+27670,61, Private,80896, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, India, >50K
+27671,30, Local-gov,168387, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+27672,45, Private,38950, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27673,22, Private,107801, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27674,49, Private,191277, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+27675,39, Private,205359, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+27676,39, ?,240226, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K
+27677,34, Private,203357, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+27678,52, Local-gov,153064, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27679,24, Private,202959, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27680,38, Private,105150, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+27681,19, Private,238474, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+27682,24, Private,1085515, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+27683,25, Private,82560, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,43, United-States, <=50K
+27684,71, Private,55965, 7th-8th,4, Widowed, Transport-moving, Not-in-family, White, Male,0,0,10, United-States, <=50K
+27685,27, Private,161087, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K
+27686,28, Private,261278, Assoc-voc,11, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27687,54, Private,182187, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,38, Jamaica, >50K
+27688,18, Private,138917, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,10, United-States, <=50K
+27689,49, Private,200198, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+27690,36, Private,205359, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+27691,57, Private,250201, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K
+27692,56, Federal-gov,67153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Portugal, >50K
+27693,17, Private,244523, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+27694,30, Private,236599, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+27695,41, Private,108713, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+27696,26, Private,177147, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+27697,61, Private,129246, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+27698,50, ?,222381, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+27699,24, Private,145111, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27700,44, Private,62258, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27701,38, State-gov,108293, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+27702,61, ?,167284, 7th-8th,4, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27703,25, Private,97789, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+27704,34, Private,111415, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+27705,38, Private,374524, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27706,42, Private,287244, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+27707,17, ?,341395, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K
+27708,48, Private,278039, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+27709,38, Private,98360, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+27710,52, Private,317032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+27711,55, State-gov,294395, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,6849,0,40, United-States, <=50K
+27712,41, Self-emp-not-inc,240900, HS-grad,9, Divorced, Farming-fishing, Other-relative, White, Male,0,0,20, United-States, <=50K
+27713,45, Private,32896, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K
+27714,49, Private,97411, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Laos, <=50K
+27715,19, Private,72355, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+27716,39, Private,342448, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+27717,43, Private,187702, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2174,0,45, United-States, <=50K
+27718,42, Private,303388, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K
+27719,17, Private,112291, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K
+27720,30, Private,208668, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,25, United-States, <=50K
+27721,61, Local-gov,28375, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K
+27722,48, Private,207277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+27723,60, ?,88675, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+27724,57, Private,47857, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+27725,27, Private,372500, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, Mexico, <=50K
+27726,24, Private,190968, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+27727,41, Private,37997, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, >50K
+27728,42, Private,257328, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+27729,34, Private,127610, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+27730,22, ?,139324, 9th,5, Never-married, ?, Unmarried, Black, Female,0,0,36, United-States, <=50K
+27731,47, Private,164423, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,43, United-States, <=50K
+27732,50, Private,104501, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,1980,40, United-States, <=50K
+27733,30, Private,56121, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27734,38, Private,296212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+27735,31, Private,157640, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+27736,44, Private,222504, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, >50K
+27737,34, Private,261023, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1651,38, United-States, <=50K
+27738,52, Private,146567, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,14344,0,40, United-States, >50K
+27739,34, Private,116910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+27740,31, Private,132601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+27741,68, Private,185537, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27742,22, Private,500720, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K
+27743,42, Private,182108, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+27744,37, Private,231491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+27745,36, Self-emp-not-inc,239415, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+27746,38, Private,179262, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+27747,72, Without-pay,121004, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K
+27748,40, Private,252392, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+27749,19, Private,163578, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+27750,55, Private,143266, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Hungary, >50K
+27751,30, Private,285902, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27752,52, Private,113094, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,1092,40, United-States, <=50K
+27753,29, Private,278637, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,45, United-States, >50K
+27754,41, Private,174540, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,4, United-States, <=50K
+27755,29, Private,188729, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27756,24, Private,72143, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27757,46, Self-emp-not-inc,328216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+27758,44, Private,165815, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+27759,17, Private,317702, 10th,6, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K
+27760,35, Private,215323, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+27761,38, Private,192939, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+27762,36, Private,156352, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+27763,24, Private,155066, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+27764,38, Self-emp-not-inc,152621, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K
+27765,19, Private,298891, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, Honduras, <=50K
+27766,30, Private,193298, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+27767,36, Local-gov,150309, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+27768,27, Private,384308, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27769,27, Private,305647, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27770,66, ?,182378, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K
+27771,65, Federal-gov,23494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,2174,40, United-States, >50K
+27772,37, Private,421633, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, >50K
+27773,17, Private,57723, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K
+27774,19, ?,307837, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+27775,57, Private,103540, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K
+27776,54, Self-emp-not-inc,136224, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+27777,21, Private,231573, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27778,43, Private,242804, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27779,50, Private,163671, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27780,38, Private,287701, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K
+27781,31, Private,187560, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+27782,41, Private,222504, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K
+27783,20, Private,41356, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27784,28, Private,59335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,15, United-States, <=50K
+27785,62, Private,84756, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+27786,41, Private,407425, 12th,8, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+27787,37, Private,162424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+27788,53, Self-emp-not-inc,175456, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+27789,28, Private,52603, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+27790,23, Private,250630, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+27791,46, Self-emp-not-inc,233974, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+27792,28, Private,376302, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27793,50, Private,195638, 10th,6, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+27794,19, Private,225775, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, Mexico, <=50K
+27795,84, Private,388384, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,10, United-States, <=50K
+27796,48, Self-emp-not-inc,219021, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+27797,61, Self-emp-not-inc,168654, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K
+27798,44, Private,180609, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K
+27799,32, Private,114746, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0,0,60, South, <=50K
+27800,25, Private,178037, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+27801,47, State-gov,160045, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27802,19, Private,268524, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+27803,37, Private,174844, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,17, United-States, <=50K
+27804,28, Private,82488, HS-grad,9, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+27805,34, Private,221167, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+27806,32, Self-emp-not-inc,48014, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+27807,24, Private,217226, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+27808,22, ?,177902, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K
+27809,30, Private,39386, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,99, United-States, <=50K
+27810,56, Private,37394, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+27811,30, Private,115426, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+27812,28, Private,114158, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K
+27813,40, Private,119101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,68, United-States, >50K
+27814,28, Private,360527, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27815,39, Private,225544, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27816,33, Self-emp-not-inc,108438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27817,23, Private,230315, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Dominican-Republic, <=50K
+27818,32, Private,158002, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, Ecuador, <=50K
+27819,37, Private,179468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27820,71, Private,99894, 5th-6th,3, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,75, United-States, <=50K
+27821,30, Private,270889, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27822,20, Private,42279, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27823,53, Federal-gov,167380, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,50, United-States, <=50K
+27824,42, Private,274913, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K
+27825,44, Private,35910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,56, United-States, >50K
+27826,26, Private,68001, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27827,21, Private,27162, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K
+27828,37, Self-emp-not-inc,286146, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27829,36, Local-gov,95462, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+27830,25, Private,50103, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+27831,54, Private,511668, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,43, United-States, >50K
+27832,38, Self-emp-inc,189679, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+27833,29, Private,115064, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27834,20, State-gov,215443, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K
+27835,32, Private,174789, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K
+27836,24, Private,91999, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K
+27837,59, Federal-gov,100931, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27838,56, Self-emp-not-inc,119069, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27839,40, Self-emp-not-inc,277488, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, <=50K
+27840,35, Private,265662, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+27841,38, Private,114591, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K
+27842,24, Private,227594, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+27843,30, Private,129707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K
+27844,61, ?,175032, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+27845,36, Private,133569, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+27846,20, Local-gov,308654, Some-college,10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K
+27847,36, Private,156084, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+27848,45, Federal-gov,380127, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27849,22, Private,210781, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27850,31, Private,189759, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,2001,40, United-States, <=50K
+27851,34, Private,258675, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+27852,24, Private,223367, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+27853,42, ?,204817, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,35, United-States, <=50K
+27854,23, Private,409230, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+27855,46, Federal-gov,308077, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, >50K
+27856,60, Private,159049, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, Germany, >50K
+27857,40, Private,353142, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+27858,55, Private,143030, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27859,47, Private,304857, Masters,14, Separated, Tech-support, Not-in-family, White, Male,27828,0,40, United-States, >50K
+27860,28, Private,30912, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, United-States, <=50K
+27861,55, Private,125000, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+27862,47, Private,181363, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+27863,54, Private,338620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K
+27864,32, Private,115989, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K
+27865,38, Private,111128, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+27866,61, Self-emp-not-inc,201273, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27867,62, Self-emp-inc,137354, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+27868,29, Private,133420, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+27869,26, Private,192208, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,32, United-States, <=50K
+27870,19, Private,220001, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K
+27871,40, Private,352612, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27872,36, Private,169426, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K
+27873,42, Private,319016, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,45, United-States, <=50K
+27874,55, Private,119751, Masters,14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Thailand, <=50K
+27875,55, Private,202220, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,2407,0,35, United-States, <=50K
+27876,43, Self-emp-not-inc,99220, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+27877,39, Private,111275, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27878,38, Federal-gov,261241, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+27879,28, Private,261725, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+27880,36, Private,182013, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+27881,49, Private,40666, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+27882,41, Private,216461, Some-college,10, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+27883,60, Private,320376, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+27884,35, Private,282951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+27885,36, State-gov,166697, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+27886,51, Private,290856, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27887,23, Private,455361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Guatemala, <=50K
+27888,51, Private,82783, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27889,17, Private,56536, 11th,7, Never-married, Sales, Own-child, White, Female,1055,0,18, India, <=50K
+27890,33, Self-emp-not-inc,109959, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+27891,50, Private,177927, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27892,38, Private,192337, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+27893,18, Private,236272, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+27894,26, Private,33610, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+27895,21, Private,209483, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,47, United-States, <=50K
+27896,26, Private,247006, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K
+27897,30, Local-gov,311913, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+27898,39, ?,204756, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+27899,33, Local-gov,300681, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+27900,42, State-gov,24264, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,38, United-States, <=50K
+27901,28, Private,266070, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+27902,20, Private,226978, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+27903,66, Local-gov,362165, Bachelors,13, Widowed, Prof-specialty, Not-in-family, Black, Female,0,2206,25, United-States, <=50K
+27904,31, Private,341672, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, India, <=50K
+27905,36, Private,179488, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Canada, <=50K
+27906,39, Federal-gov,243872, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+27907,52, Private,259583, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+27908,61, Private,159822, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, Poland, >50K
+27909,27, Private,219863, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+27910,45, Private,206947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+27911,21, Private,245572, 9th,5, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+27912,25, Private,38488, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27913,24, Private,182504, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+27914,38, Private,193815, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Italy, <=50K
+27915,51, ?,521665, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+27916,29, Private,46442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,50, United-States, >50K
+27917,45, Private,60267, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+27918,59, Private,264357, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+27919,41, Private,191814, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+27920,23, Private,107882, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+27921,43, Private,174575, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27922,17, Private,143331, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+27923,32, Private,126132, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+27924,42, Private,198619, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+27925,68, Private,211287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,40, United-States, >50K
+27926,55, Federal-gov,238192, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K
+27927,43, Private,257780, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+27928,61, Private,183355, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+27929,28, Private,148429, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+27930,47, Private,71221, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K
+27931,21, Self-emp-not-inc,236769, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27932,39, Private,32146, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27933,39, Private,347491, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,46, United-States, <=50K
+27934,34, Private,180714, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,2179,40, United-States, <=50K
+27935,57, ?,188877, 9th,5, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27936,27, Private,306747, Bachelors,13, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+27937,21, State-gov,478457, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K
+27938,25, Private,248990, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+27939,51, Self-emp-inc,46281, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+27940,35, Private,148015, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K
+27941,19, Private,278115, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+27942,27, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K
+27943,34, Private,176673, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K
+27944,33, ?,202366, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,32, United-States, <=50K
+27945,36, Private,238415, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+27946,33, Self-emp-not-inc,37939, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+27947,60, Self-emp-not-inc,35649, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+27948,42, Private,383493, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+27949,47, Federal-gov,204900, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K
+27950,42, Private,20809, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, >50K
+27951,34, Private,148207, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+27952,21, Private,200153, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+27953,30, Private,169496, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, >50K
+27954,53, Private,22978, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+27955,34, Private,366898, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K
+27956,37, Private,324947, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+27957,27, Private,321577, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+27958,31, Private,241360, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27959,30, Private,207564, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+27960,33, Private,220860, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+27961,41, Local-gov,336571, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+27962,23, State-gov,56402, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+27963,65, Private,180280, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+27964,30, Private,81282, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+27965,51, Private,86332, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,4064,0,55, United-States, <=50K
+27966,30, Local-gov,27051, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+27967,49, Private,287647, Masters,14, Divorced, Sales, Not-in-family, White, Male,4787,0,45, United-States, >50K
+27968,37, Self-emp-not-inc,183735, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,30, United-States, <=50K
+27969,42, Private,100800, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27970,62, Private,155094, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K
+27971,67, ?,102693, HS-grad,9, Widowed, ?, Not-in-family, White, Male,1086,0,35, United-States, <=50K
+27972,31, Private,151053, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K
+27973,50, Private,548361, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K
+27974,33, Private,173858, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+27975,27, Private,347153, Some-college,10, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K
+27976,31, Private,319146, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, Mexico, >50K
+27977,35, Private,197719, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+27978,55, Private,197114, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,6, United-States, >50K
+27979,54, Self-emp-not-inc,109418, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,35, United-States, >50K
+27980,56, Private,182062, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K
+27981,21, Private,184543, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27982,66, Private,175558, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, Germany, <=50K
+27983,46, Private,122026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+27984,23, Private,340543, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+27985,43, Private,101950, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+27986,40, Private,179508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K
+27987,52, Private,225317, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+27988,59, Local-gov,53304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+27989,36, Local-gov,282602, Assoc-voc,11, Separated, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+27990,33, Private,184016, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27991,20, Private,250165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+27992,21, Private,196467, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K
+27993,59, ?,220783, 10th,6, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+27994,42, Self-emp-not-inc,178780, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+27995,62, Private,65868, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,43, United-States, <=50K
+27996,54, Private,35459, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+27997,35, Private,98986, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+27998,36, Private,282092, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+27999,21, Private,140764, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,45, United-States, <=50K
+28000,30, Private,33124, HS-grad,9, Separated, Farming-fishing, Unmarried, White, Female,0,0,14, United-States, <=50K
+28001,46, Private,90042, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28002,32, Private,102986, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, >50K
+28003,21, Private,214387, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,64, United-States, <=50K
+28004,39, Private,180667, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28005,54, Private,278329, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K
+28006,32, Private,184440, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K
+28007,23, Private,140462, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+28008,42, Private,202565, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K
+28009,62, ?,181063, 10th,6, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+28010,28, Private,287268, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+28011,28, Private,215955, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28012,35, Private,82552, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+28013,19, Private,41745, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+28014,27, Private,73587, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+28015,54, Private,263925, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+28016,19, Private,196119, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+28017,27, Private,284741, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+28018,30, Private,293936, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,50, ?, <=50K
+28019,35, Private,340428, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28020,66, ?,175891, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+28021,19, Local-gov,276973, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K
+28022,30, Private,161599, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+28023,32, Private,144064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28024,31, Private,236391, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28025,26, Private,224943, Assoc-voc,11, Never-married, Sales, Other-relative, Black, Male,0,0,65, United-States, <=50K
+28026,44, Private,151294, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+28027,52, Private,68982, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28028,30, Private,241885, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+28029,32, Self-emp-not-inc,189461, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K
+28030,19, Self-emp-not-inc,36012, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+28031,33, Private,85355, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28032,20, Private,157595, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28033,61, Private,197286, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28034,33, Private,362747, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K
+28035,24, Private,395297, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+28036,31, Self-emp-not-inc,144949, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+28037,20, ?,163665, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+28038,32, Private,141490, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+28039,29, Private,147889, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+28040,61, Private,232808, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K
+28041,48, Private,70668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K
+28042,29, Federal-gov,33315, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28043,61, ?,63526, 12th,8, Never-married, ?, Not-in-family, Black, Male,0,0,52, United-States, <=50K
+28044,34, Private,591711, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,48, ?, <=50K
+28045,22, Private,200318, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K
+28046,32, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K
+28047,38, Private,109231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28048,27, Private,102889, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+28049,26, Private,167106, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K
+28050,35, Private,182898, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,8614,0,40, United-States, >50K
+28051,62, Private,197918, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28052,28, Private,67386, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+28053,50, Private,126592, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28054,34, Private,49469, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,99999,0,50, United-States, >50K
+28055,37, Self-emp-not-inc,119929, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28056,63, Private,158199, 1st-4th,2, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,44, Portugal, <=50K
+28057,35, Private,341102, 9th,5, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28058,55, Private,101524, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+28059,40, Private,202872, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+28060,25, Private,195201, HS-grad,9, Married-civ-spouse, Sales, Husband, Other, Male,0,0,50, United-States, <=50K
+28061,51, Private,128272, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28062,37, Private,263094, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+28063,54, Self-emp-inc,357596, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K
+28064,47, Local-gov,102628, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+28065,26, Private,171114, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+28066,46, Private,216414, Assoc-voc,11, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+28067,24, Private,127753, 12th,8, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+28068,19, Private,282698, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Male,0,0,80, United-States, <=50K
+28069,35, Private,139364, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+28070,36, Local-gov,312785, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,35, United-States, <=50K
+28071,18, Private,92864, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+28072,46, Local-gov,175428, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28073,30, Private,104223, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+28074,29, Private,144784, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28075,65, Private,178934, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,20, Jamaica, <=50K
+28076,41, Private,211253, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+28077,34, Private,133122, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28078,58, Private,103540, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+28079,39, State-gov,172700, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28080,21, Private,282484, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+28081,31, Private,323055, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+28082,33, State-gov,291494, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+28083,28, Private,214702, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+28084,32, Private,116055, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,2977,0,35, United-States, <=50K
+28085,32, Private,226696, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K
+28086,31, Private,216827, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28087,41, Self-emp-not-inc,153132, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+28088,48, Private,307440, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,45, Philippines, >50K
+28089,27, Private,278122, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+28090,45, Private,122195, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28091,34, Self-emp-not-inc,156890, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+28092,17, Private,36877, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K
+28093,25, Private,131178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,23, United-States, <=50K
+28094,34, Self-emp-inc,62396, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,62, United-States, >50K
+28095,33, Private,73054, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+28096,21, Private,96844, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K
+28097,22, Private,324922, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28098,61, Private,130684, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K
+28099,40, Private,178983, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K
+28100,58, Private,81038, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K
+28101,30, Private,151967, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K
+28102,24, Private,278107, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K
+28103,52, Self-emp-not-inc,183146, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28104,50, Private,183638, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+28105,49, Private,247892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, <=50K
+28106,22, Private,221480, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+28107,32, Private,118551, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, ?, >50K
+28108,21, Private,518530, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+28109,25, Private,193787, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,50, United-States, <=50K
+28110,34, Self-emp-inc,157466, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+28111,48, Private,141511, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+28112,61, ?,158712, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,99, United-States, <=50K
+28113,21, Private,252253, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28114,20, Private,200450, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,52, United-States, <=50K
+28115,30, State-gov,343789, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+28116,44, Private,277647, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+28117,44, Private,291566, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+28118,29, Private,151382, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+28119,31, Private,221167, Prof-school,15, Divorced, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28120,35, Private,196178, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28121,27, Private,302422, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28122,26, Private,37379, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+28123,37, Self-emp-not-inc,82540, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K
+28124,33, Self-emp-not-inc,182926, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K
+28125,44, Private,159911, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,55, United-States, <=50K
+28126,34, Private,212781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28127,28, Local-gov,207213, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,5, United-States, <=50K
+28128,30, Private,200192, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K
+28129,41, Local-gov,180096, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+28130,23, Private,192812, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K
+28131,19, Private,105908, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,70, United-States, <=50K
+28132,48, Private,373366, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,3781,0,50, Mexico, <=50K
+28133,26, State-gov,234190, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K
+28134,32, Private,260868, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+28135,26, Private,109097, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+28136,36, Private,171393, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K
+28137,49, Private,209146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+28138,33, ?,289046, HS-grad,9, Divorced, ?, Not-in-family, Black, Male,0,1741,40, United-States, <=50K
+28139,54, Private,172281, Masters,14, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K
+28140,36, Private,73023, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K
+28141,41, Private,122626, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,48, United-States, <=50K
+28142,27, Private,113635, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+28143,68, ?,257269, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2377,35, United-States, >50K
+28144,21, ?,191806, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,75, United-States, <=50K
+28145,56, ?,35723, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+28146,40, Self-emp-not-inc,30759, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+28147,46, Private,105327, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28148,55, ?,376058, 9th,5, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K
+28149,43, Private,219307, 9th,5, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28150,46, Private,208067, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+28151,51, Self-emp-not-inc,78631, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+28152,19, Private,210308, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+28153,67, Local-gov,190661, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,7896,0,50, United-States, >50K
+28154,31, Private,594187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28155,27, Private,228476, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+28156,21, Private,126613, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+28157,36, Private,30267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+28158,23, Private,216811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,16, United-States, <=50K
+28159,62, Local-gov,115763, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+28160,31, Local-gov,199368, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K
+28161,52, Private,159755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+28162,39, Self-emp-not-inc,188335, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+28163,24, Private,417668, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K
+28164,55, ?,141807, HS-grad,9, Never-married, ?, Not-in-family, White, Male,13550,0,40, United-States, >50K
+28165,38, Private,296317, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+28166,36, Private,164898, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28167,17, Private,452406, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K
+28168,27, Private,42696, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+28169,30, Private,262994, Some-college,10, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28170,43, State-gov,167298, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+28171,51, Private,103529, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+28172,47, Private,97883, Bachelors,13, Widowed, Priv-house-serv, Unmarried, White, Female,25236,0,35, United-States, >50K
+28173,49, State-gov,269417, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,50, United-States, >50K
+28174,34, Private,199539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+28175,19, ?,39460, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K
+28176,79, Federal-gov,62176, Doctorate,16, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,6, United-States, >50K
+28177,28, State-gov,239130, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K
+28178,41, Self-emp-inc,151089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+28179,21, Private,331611, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+28180,31, Self-emp-not-inc,203463, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28181,45, Private,151518, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+28182,23, Self-emp-inc,39844, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28183,32, Private,299635, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K
+28184,67, Private,123393, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+28185,32, Private,209538, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+28186,35, Self-emp-not-inc,238802, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+28187,29, Private,499197, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+28188,38, Private,200220, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28189,38, Private,114059, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+28190,18, Private,434430, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28191,47, Private,185385, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,24, United-States, <=50K
+28192,22, Private,225156, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28193,21, Private,377931, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,48, United-States, <=50K
+28194,27, ?,133359, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, ?, <=50K
+28195,28, Private,226891, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,30, ?, <=50K
+28196,32, Private,201988, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,4508,0,40, ?, <=50K
+28197,40, Private,287008, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, Germany, >50K
+28198,23, Private,151910, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Female,0,1719,40, United-States, <=50K
+28199,25, Private,231714, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28200,44, Self-emp-inc,178510, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,2258,60, United-States, <=50K
+28201,43, Private,178866, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K
+28202,31, Private,110643, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K
+28203,33, Private,148261, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28204,41, Private,217902, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28205,29, Self-emp-not-inc,77207, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+28206,32, ?,377017, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+28207,78, Private,184759, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,1797,0,15, United-States, <=50K
+28208,64, Self-emp-inc,80333, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28209,58, Private,265086, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28210,55, ?,102058, 12th,8, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28211,20, Private,333843, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+28212,35, Private,296478, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28213,27, Local-gov,116662, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28214,37, Self-emp-not-inc,353298, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,50, United-States, >50K
+28215,42, Private,142424, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28216,47, Local-gov,200808, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, Puerto-Rico, <=50K
+28217,29, Private,119052, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28218,33, Private,168981, 1st-4th,2, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+28219,44, Private,151780, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28220,70, Private,237065, 5th-6th,3, Widowed, Other-service, Other-relative, White, Female,2346,0,40, ?, <=50K
+28221,25, Private,509866, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,78, United-States, <=50K
+28222,24, State-gov,249385, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,10, United-States, <=50K
+28223,42, State-gov,109462, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,2977,0,40, United-States, <=50K
+28224,53, Private,250034, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K
+28225,39, Private,249720, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K
+28226,72, Self-emp-not-inc,258761, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+28227,43, Self-emp-inc,64048, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,44, Portugal, <=50K
+28228,25, State-gov,153534, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+28229,37, Private,193815, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+28230,27, Private,255582, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28231,39, Private,204527, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+28232,64, Self-emp-not-inc,159938, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,24, Italy, <=50K
+28233,29, Self-emp-not-inc,229341, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+28234,50, Private,128143, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28235,33, Private,175479, 5th-6th,3, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K
+28236,18, Private,301814, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+28237,20, Private,238917, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,32, Mexico, <=50K
+28238,32, Private,205581, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K
+28239,45, Private,340341, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28240,48, Private,147860, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K
+28241,20, ?,121023, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+28242,23, Private,259496, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+28243,34, Federal-gov,190228, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,48, United-States, >50K
+28244,43, Private,180599, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Male,8614,0,40, United-States, >50K
+28245,44, Private,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+28246,47, Self-emp-not-inc,180446, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K
+28247,47, Private,264244, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28248,46, Local-gov,197988, 1st-4th,2, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K
+28249,19, Private,206599, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+28250,51, Private,313146, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+28251,41, Self-emp-inc,99212, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+28252,37, Private,340599, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28253,31, Private,62932, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+28254,25, Private,44861, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28255,46, Private,53893, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+28256,53, Self-emp-inc,152810, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,45, United-States, >50K
+28257,47, Local-gov,128401, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+28258,28, Private,336951, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28259,60, Self-emp-not-inc,95445, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3137,0,46, United-States, <=50K
+28260,43, Private,54611, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28261,45, Self-emp-not-inc,315984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K
+28262,28, Private,210313, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+28263,19, Private,181020, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K
+28264,51, Self-emp-not-inc,120781, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999,0,70, India, >50K
+28265,19, Private,256979, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,35, United-States, <=50K
+28266,64, Private,47298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+28267,44, Private,125461, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+28268,21, Private,209955, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K
+28269,33, Private,182246, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28270,63, Private,76860, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+28271,44, ?,91949, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28272,44, Local-gov,136986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K
+28273,28, Federal-gov,183445, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,70, Puerto-Rico, <=50K
+28274,24, Private,130741, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+28275,20, Federal-gov,191878, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+28276,21, ?,233923, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K
+28277,20, Private,48121, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+28278,21, Private,304302, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+28279,34, Federal-gov,284703, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,52, United-States, <=50K
+28280,17, Private,401198, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+28281,35, Private,243357, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28282,26, Private,32276, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28283,35, Private,110538, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K
+28284,25, Private,257310, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28285,27, Self-emp-not-inc,411950, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+28286,52, Local-gov,392668, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+28287,43, Self-emp-not-inc,52498, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K
+28288,36, Private,223433, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+28289,37, Private,87076, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+28290,58, Private,224854, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28291,25, Private,193379, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28292,54, Private,98436, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+28293,42, ?,116632, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K
+28294,65, Self-emp-inc,210381, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,65, United-States, >50K
+28295,44, Private,90688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,45, Laos, <=50K
+28296,61, Private,229744, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K
+28297,29, Private,59732, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+28298,34, Private,192900, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28299,24, State-gov,90046, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Canada, <=50K
+28300,40, Private,272960, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K
+28301,42, Self-emp-inc,152071, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Cuba, >50K
+28302,50, Private,301583, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28303,18, ?,171964, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,20, United-States, <=50K
+28304,49, Private,315984, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28305,38, Private,241962, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28306,41, Private,131591, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,45, United-States, <=50K
+28307,70, Self-emp-inc,207938, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,5, United-States, <=50K
+28308,51, Private,53197, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28309,24, Private,121023, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28310,57, Self-emp-not-inc,287229, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+28311,22, Private,163911, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+28312,31, Private,191834, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28313,28, Private,204734, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+28314,45, Self-emp-not-inc,220978, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+28315,39, Private,365739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28316,26, Private,50103, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28317,38, Private,283293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+28318,38, Self-emp-not-inc,194534, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,99999,0,60, United-States, >50K
+28319,19, Private,263338, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+28320,36, ?,504871, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+28321,30, Private,348592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K
+28322,28, Private,173944, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28323,53, Private,226135, 9th,5, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K
+28324,32, Private,172375, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+28325,57, Self-emp-inc,127728, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+28326,47, Private,347025, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28327,36, Private,191335, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K
+28328,21, Private,247779, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K
+28329,25, State-gov,262664, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+28330,37, Private,95855, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+28331,31, Private,74501, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+28332,43, Private,245317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+28333,61, Private,29059, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,2754,25, United-States, <=50K
+28334,56, Private,200316, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+28335,35, Private,198341, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+28336,59, Private,100453, 7th-8th,4, Separated, Other-service, Own-child, Black, Female,0,0,38, United-States, <=50K
+28337,44, Self-emp-not-inc,343190, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,55, United-States, >50K
+28338,47, Private,235683, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+28339,44, Private,83237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+28340,64, Private,88470, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+28341,26, Private,198801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+28342,53, Private,168107, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28343,50, Private,196193, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+28344,30, ?,205418, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+28345,46, Private,695411, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K
+28346,45, Self-emp-inc,139268, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+28347,44, Federal-gov,192771, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28348,59, Self-emp-inc,122390, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K
+28349,65, Self-emp-inc,184965, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+28350,23, Private,180837, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+28351,33, Private,159548, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K
+28352,34, Private,110554, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+28353,38, Private,103474, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28354,62, Private,178249, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+28355,21, Private,138768, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+28356,41, Private,321824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K
+28357,35, Private,244803, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Peru, <=50K
+28358,62, Local-gov,206063, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28359,53, Private,167651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28360,69, State-gov,163689, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K
+28361,19, Self-emp-not-inc,45546, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+28362,47, Private,420986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28363,52, Self-emp-inc,68015, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K
+28364,54, Private,175594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28365,58, ?,148673, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K
+28366,30, Private,206322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,73, United-States, >50K
+28367,39, Private,272338, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, <=50K
+28368,73, Private,105886, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,1173,0,75, United-States, <=50K
+28369,64, Private,312498, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28370,32, Private,177675, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+28371,51, Private,152810, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28372,57, Private,319122, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28373,25, Private,212304, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+28374,53, Private,208321, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,1740,40, United-States, <=50K
+28375,39, Private,240841, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+28376,49, Private,208978, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K
+28377,23, Local-gov,442359, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K
+28378,28, Private,198197, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+28379,46, Private,261059, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+28380,40, Private,72791, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+28381,24, Private,275395, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+28382,20, ?,195767, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+28383,50, Private,462966, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, El-Salvador, <=50K
+28384,24, ?,265434, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28385,35, Private,31269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28386,33, Local-gov,246291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K
+28387,54, Federal-gov,128378, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28388,35, Local-gov,231180, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+28389,31, Local-gov,206297, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+28390,47, Self-emp-inc,337050, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+28391,48, Private,193075, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+28392,33, Local-gov,169652, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,1669,55, United-States, <=50K
+28393,35, Private,35945, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28394,20, ?,141453, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+28395,36, Private,252231, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, Puerto-Rico, <=50K
+28396,30, Private,128016, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+28397,39, Private,150057, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+28398,25, Private,258276, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+28399,40, Private,188465, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28400,25, Self-emp-inc,161007, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28401,33, Private,403468, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Mexico, <=50K
+28402,53, Federal-gov,181677, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28403,18, Private,120243, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+28404,41, Private,157025, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K
+28405,25, Private,306908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+28406,66, Self-emp-not-inc,28061, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K
+28407,53, Private,95540, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K
+28408,27, Private,135001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28409,28, Private,293398, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28410,23, Private,185106, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+28411,29, Self-emp-not-inc,245790, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K
+28412,26, Private,134004, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+28413,26, Private,205036, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, United-States, <=50K
+28414,26, Private,244495, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+28415,38, Private,159179, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28416,36, Private,405155, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+28417,34, Private,177437, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K
+28418,32, Federal-gov,402361, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28419,57, Self-emp-not-inc,184553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+28420,31, Private,302626, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28421,38, Private,99138, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+28422,39, Private,112731, HS-grad,9, Divorced, Other-service, Not-in-family, Other, Female,0,0,40, Dominican-Republic, <=50K
+28423,35, Private,192923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,40, United-States, <=50K
+28424,18, Private,761006, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+28425,75, ?,125784, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+28426,28, Private,182344, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28427,41, Self-emp-not-inc,117012, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+28428,39, Federal-gov,30673, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+28429,31, Federal-gov,484669, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28430,38, State-gov,314052, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+28431,43, State-gov,38537, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,38, ?, <=50K
+28432,27, Private,165412, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28433,42, Private,198341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,55, India, >50K
+28434,46, Private,116635, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,36, United-States, <=50K
+28435,20, Private,185452, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+28436,42, Private,118686, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K
+28437,69, Private,76939, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28438,47, Federal-gov,160646, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K
+28439,49, State-gov,126754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K
+28440,20, Private,211049, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K
+28441,52, Private,311931, 5th-6th,3, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, El-Salvador, <=50K
+28442,33, Private,283602, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,59, Mexico, <=50K
+28443,18, Private,155021, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K
+28444,55, Self-emp-not-inc,100569, HS-grad,9, Separated, Farming-fishing, Unmarried, White, Female,0,0,55, United-States, <=50K
+28445,61, Private,380462, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+28446,61, Federal-gov,221943, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,9386,0,40, United-States, >50K
+28447,39, Private,114544, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K
+28448,30, Private,248584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28449,61, Private,227468, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28450,36, Private,66173, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K
+28451,34, Private,107624, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+28452,53, Private,70387, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4386,0,40, India, >50K
+28453,38, Private,423616, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,36, United-States, >50K
+28454,46, Private,98637, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+28455,27, Local-gov,216013, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28456,32, Self-emp-not-inc,210926, 11th,7, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, Nicaragua, <=50K
+28457,60, Local-gov,255711, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, >50K
+28458,23, Private,77581, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+28459,29, Private,152461, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,14344,0,50, United-States, >50K
+28460,22, Private,203263, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+28461,25, Private,261519, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+28462,29, Private,91189, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+28463,90, Federal-gov,195433, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K
+28464,37, Local-gov,272471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28465,32, Private,311524, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,38, United-States, <=50K
+28466,18, Private,151386, HS-grad,9, Married-spouse-absent, Other-service, Own-child, Black, Male,0,0,40, Jamaica, <=50K
+28467,35, Private,187625, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K
+28468,50, Private,108933, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K
+28469,54, Private,135388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+28470,43, Private,169383, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+28471,28, Self-emp-inc,191129, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K
+28472,51, Private,467611, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+28473,31, Private,373185, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,42, Mexico, <=50K
+28474,69, Private,130060, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,2387,0,40, United-States, <=50K
+28475,57, Private,199934, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28476,71, ?,116165, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,14, Canada, <=50K
+28477,28, Private,42881, 10th,6, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+28478,28, ?,174666, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,80, United-States, <=50K
+28479,25, Private,169759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,95, United-States, <=50K
+28480,49, Self-emp-not-inc,181547, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Columbia, <=50K
+28481,52, Private,95704, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28482,23, Private,237432, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K
+28483,32, Private,226267, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+28484,31, Private,159979, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K
+28485,30, Private,203488, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+28486,24, Private,403671, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+28487,45, Private,192323, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,66, Yugoslavia, <=50K
+28488,30, Private,167832, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28489,52, Private,145166, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+28490,42, State-gov,155657, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,25, United-States, <=50K
+28491,49, Private,116789, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+28492,20, Private,39234, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+28493,25, Private,124111, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+28494,41, Private,172828, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Outlying-US(Guam-USVI-etc), <=50K
+28495,55, Private,143372, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28496,31, Self-emp-not-inc,265807, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,50, United-States, <=50K
+28497,25, State-gov,218184, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28498,32, Private,154087, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28499,29, Federal-gov,440647, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+28500,37, Private,193952, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, ?, <=50K
+28501,52, Private,125932, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28502,19, Private,284652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+28503,21, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K
+28504,43, Private,173316, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28505,39, State-gov,65390, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K
+28506,40, Self-emp-inc,45054, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+28507,54, Private,185042, 1st-4th,2, Separated, Priv-house-serv, Other-relative, White, Female,0,0,40, Mexico, <=50K
+28508,35, Private,117381, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28509,34, Private,258666, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1974,40, United-States, <=50K
+28510,35, Private,179668, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28511,57, Private,127277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K
+28512,26, Private,192022, Bachelors,13, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+28513,55, Self-emp-not-inc,99551, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,15, United-States, <=50K
+28514,51, Private,208899, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28515,35, Private,287658, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,30, Jamaica, <=50K
+28516,31, Private,196125, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28517,17, Private,275051, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K
+28518,38, Private,23892, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+28519,39, Federal-gov,376455, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K
+28520,29, Private,267989, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+28521,39, Private,30269, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+28522,42, Private,204235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28523,46, Local-gov,209057, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28524,73, Private,349347, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K
+28525,47, Local-gov,154033, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K
+28526,28, Private,124680, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,70, United-States, <=50K
+28527,27, Private,132805, 10th,6, Never-married, Sales, Other-relative, White, Male,0,1980,40, United-States, <=50K
+28528,38, Private,99233, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+28529,19, Private,224849, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+28530,60, Local-gov,101110, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K
+28531,24, Private,184839, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28532,52, Private,302847, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28533,36, Private,181322, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K
+28534,26, Local-gov,192213, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K
+28535,28, State-gov,37250, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,16, United-States, <=50K
+28536,38, Self-emp-inc,140854, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+28537,47, Private,158286, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28538,50, Private,269095, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+28539,27, Private,279960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28540,47, Private,176239, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+28541,36, Private,115360, 10th,6, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,3464,0,40, United-States, <=50K
+28542,49, Private,337666, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28543,68, ?,255276, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K
+28544,63, Private,145212, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28545,36, Private,185099, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K
+28546,42, Private,142756, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+28547,28, Private,156300, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K
+28548,68, ?,186266, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K
+28549,38, Private,219137, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,22, United-States, <=50K
+28550,43, Private,110970, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+28551,49, Private,203067, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28552,59, Private,148844, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28553,25, Private,154941, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+28554,26, Private,124111, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K
+28555,59, Private,157303, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K
+28556,34, Private,113838, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+28557,34, Private,165737, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,43, India, >50K
+28558,67, Private,140849, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K
+28559,45, Private,200363, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,44, United-States, <=50K
+28560,64, Private,180247, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+28561,51, Private,82578, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, Canada, >50K
+28562,31, Private,227146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+28563,42, Self-emp-inc,348886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+28564,65, Private,90907, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+28565,23, Private,142766, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K
+28566,31, Private,246439, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+28567,33, Private,184784, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28568,17, Local-gov,195262, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+28569,63, Private,167967, Masters,14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K
+28570,48, Private,145636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K
+28571,45, Local-gov,170099, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28572,17, Private,228253, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+28573,26, Local-gov,205570, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28574,38, Federal-gov,506830, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28575,29, Private,412435, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K
+28576,44, Private,163331, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K
+28577,43, Federal-gov,222756, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28578,39, State-gov,318918, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28579,43, Private,105188, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K
+28580,23, Private,199884, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K
+28581,19, Private,96483, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+28582,49, Self-emp-not-inc,192203, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K
+28583,52, Private,203392, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K
+28584,32, Private,99646, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+28585,38, Private,167440, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,40, United-States, <=50K
+28586,25, ?,210095, 5th-6th,3, Never-married, ?, Unmarried, White, Female,0,0,25, El-Salvador, <=50K
+28587,44, Private,219591, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+28588,63, Private,30270, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28589,42, Local-gov,226020, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,60, ?, <=50K
+28590,21, Private,314165, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, Columbia, <=50K
+28591,32, Private,330715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28592,24, Self-emp-not-inc,35448, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K
+28593,50, State-gov,172970, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+28594,26, Self-emp-inc,189502, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K
+28595,35, Private,61518, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K
+28596,31, Private,574005, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+28597,24, Private,281356, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,66, Mexico, <=50K
+28598,40, Private,138975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K
+28599,31, Private,176969, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K
+28600,43, Private,132393, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Poland, <=50K
+28601,44, Private,194924, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K
+28602,40, Private,478205, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+28603,75, ?,128224, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+28604,52, Local-gov,30118, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3137,0,42, United-States, <=50K
+28605,51, Self-emp-not-inc,290688, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28606,39, State-gov,85566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+28607,40, Private,121874, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+28608,40, Self-emp-not-inc,29036, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K
+28609,33, Private,348152, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28610,38, Local-gov,73715, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+28611,29, Private,151382, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K
+28612,37, Private,236359, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+28613,37, Private,19899, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K
+28614,19, Private,138760, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+28615,46, Local-gov,354962, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+28616,46, Private,181363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28617,37, Private,393360, Some-college,10, Never-married, Protective-serv, Own-child, Black, Male,0,0,30, United-States, <=50K
+28618,34, Private,210736, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K
+28619,38, Private,110013, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K
+28620,26, Private,193304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28621,34, Private,118551, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28622,57, Private,201991, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+28623,33, Private,157446, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K
+28624,26, Local-gov,283217, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+28625,20, Private,247794, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,84, United-States, <=50K
+28626,38, Private,43712, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K
+28627,61, Private,35649, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,6, United-States, <=50K
+28628,36, Self-emp-not-inc,342719, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K
+28629,61, ?,71467, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3103,0,40, United-States, >50K
+28630,17, Private,271837, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K
+28631,40, Private,400061, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, United-States, >50K
+28632,18, Private,62972, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+28633,21, Private,174907, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K
+28634,41, Private,176452, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Peru, <=50K
+28635,46, Private,268358, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28636,55, Federal-gov,176904, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28637,27, Private,176683, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K
+28638,39, Private,98077, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K
+28639,36, Private,266461, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,48, United-States, <=50K
+28640,51, Private,312477, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,40, United-States, <=50K
+28641,27, Private,604045, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28642,30, Local-gov,131568, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28643,42, Private,97688, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K
+28644,23, Private,373628, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+28645,56, Private,367984, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+28646,41, Self-emp-not-inc,193459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+28647,49, Private,250733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K
+28648,46, Federal-gov,199725, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K
+28649,54, Private,156877, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Greece, <=50K
+28650,38, Private,122076, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,43, United-States, >50K
+28651,45, Self-emp-not-inc,216402, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K
+28652,50, Self-emp-not-inc,42402, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,30, United-States, >50K
+28653,22, Private,315974, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28654,31, Private,63437, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Ireland, <=50K
+28655,27, Private,160786, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28656,34, Private,85374, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28657,46, Private,465974, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K
+28658,47, Private,78529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+28659,36, State-gov,98037, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+28660,22, Private,178390, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+28661,51, Private,210940, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2002,45, United-States, <=50K
+28662,43, Private,64506, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28663,54, Private,128378, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28664,24, Private,234460, 9th,5, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K
+28665,29, Private,176760, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K
+28666,40, State-gov,59460, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+28667,18, Private,234428, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+28668,31, Private,215047, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28669,57, Private,140426, Doctorate,16, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, Germany, >50K
+28670,32, Private,191777, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28671,48, Private,148995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28672,24, Private,229773, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+28673,24, Private,174461, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K
+28674,24, Private,250647, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K
+28675,49, Local-gov,119904, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,30, United-States, >50K
+28676,27, Self-emp-not-inc,151402, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1573,70, United-States, <=50K
+28677,37, Private,184556, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+28678,33, Private,263561, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+28679,19, Private,177945, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+28680,45, Private,306889, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+28681,54, Local-gov,54377, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28682,47, Private,144351, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,625,40, United-States, <=50K
+28683,22, Private,95566, Some-college,10, Married-spouse-absent, Sales, Own-child, Other, Female,0,0,22, Dominican-Republic, <=50K
+28684,20, Private,181675, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28685,36, Private,172129, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28686,49, ?,350759, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+28687,58, Self-emp-not-inc,105592, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+28688,20, ?,200061, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, ?, <=50K
+28689,34, Self-emp-inc,200689, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+28690,36, Private,386726, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,44, United-States, >50K
+28691,28, Local-gov,135567, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,4101,0,60, United-States, <=50K
+28692,38, Local-gov,282753, Assoc-voc,11, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+28693,32, Private,137367, 11th,7, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+28694,35, Self-emp-inc,153976, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+28695,51, Self-emp-inc,96062, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+28696,33, Private,152933, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28697,71, Private,97870, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K
+28698,48, Private,254291, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28699,53, Self-emp-not-inc,101432, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+28700,40, Private,125776, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+28701,64, Self-emp-not-inc,165479, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, <=50K
+28702,42, Federal-gov,172307, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K
+28703,25, Private,176729, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28704,66, Private,174276, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,50, United-States, >50K
+28705,59, Federal-gov,48102, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, >50K
+28706,42, Self-emp-not-inc,79531, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+28707,24, Private,306460, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K
+28708,19, Private,55284, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K
+28709,26, Private,172063, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+28710,22, Private,141028, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K
+28711,33, Private,37274, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28712,63, Private,31389, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,12, United-States, <=50K
+28713,20, Private,415913, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28714,33, Private,295591, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+28715,57, ?,202903, 7th-8th,4, Married-civ-spouse, ?, Wife, White, Female,1173,0,45, Puerto-Rico, <=50K
+28716,56, Private,159770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28717,70, Self-emp-not-inc,268832, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, >50K
+28718,42, Private,126003, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+28719,25, Local-gov,225193, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28720,28, Private,297735, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+28721,80, Self-emp-not-inc,225892, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,1409,0,40, United-States, <=50K
+28722,36, Private,605502, 10th,6, Never-married, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28723,37, Private,174150, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28724,38, Private,165466, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K
+28725,52, State-gov,189728, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28726,49, Private,360491, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28727,30, Private,115040, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+28728,36, Private,262688, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,7688,0,50, United-States, >50K
+28729,70, Self-emp-inc,158437, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K
+28730,55, Private,41108, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Male,0,2258,62, United-States, >50K
+28731,25, Private,149875, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28732,59, Private,131916, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Italy, >50K
+28733,22, Private,60668, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28734,41, Local-gov,153132, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28735,62, Private,155256, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+28736,54, Private,244770, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+28737,38, Private,312108, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+28738,52, Private,102828, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+28739,36, Private,93225, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28740,74, Self-emp-inc,231002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K
+28741,35, Self-emp-not-inc,256992, 5th-6th,3, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, Mexico, <=50K
+28742,41, Private,118721, 12th,8, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+28743,30, Private,151989, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+28744,25, Private,109112, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+28745,35, Private,589809, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,60, United-States, >50K
+28746,38, Private,172538, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+28747,34, State-gov,318982, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,40, United-States, >50K
+28748,48, Private,204629, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+28749,50, Self-emp-not-inc,99894, 5th-6th,3, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K
+28750,19, Private,369463, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+28751,51, Private,79324, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28752,39, Private,61178, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+28753,20, Private,204226, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+28754,17, Private,183110, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K
+28755,42, Private,96321, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+28756,25, Private,167031, Some-college,10, Never-married, Other-service, Other-relative, Other, Female,0,0,25, Ecuador, <=50K
+28757,36, Private,108997, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28758,65, Private,176796, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28759,32, Self-emp-not-inc,134737, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, >50K
+28760,33, Self-emp-inc,49795, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28761,32, State-gov,131588, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,20, United-States, <=50K
+28762,25, Private,307643, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+28763,41, Local-gov,351350, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K
+28764,44, Private,260761, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28765,72, Private,156310, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,2414,0,12, United-States, <=50K
+28766,36, Private,207789, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K
+28767,67, Self-emp-not-inc,252842, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797,0,20, United-States, <=50K
+28768,28, Private,294936, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,4064,0,45, United-States, <=50K
+28769,24, Private,196269, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K
+28770,17, Private,46402, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K
+28771,32, Self-emp-not-inc,267161, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,30, United-States, <=50K
+28772,67, Private,160456, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28773,21, ?,123983, Some-college,10, Never-married, ?, Other-relative, Asian-Pac-Islander, Male,0,0,10, Vietnam, <=50K
+28774,51, Private,123053, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,5013,0,40, India, <=50K
+28775,32, Private,426467, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,3674,0,40, Guatemala, <=50K
+28776,39, Private,269323, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28777,18, Self-emp-not-inc,42857, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28778,50, Self-emp-not-inc,183915, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+28779,24, Private,211391, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K
+28780,21, Local-gov,193130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28781,24, Private,86745, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,16, United-States, <=50K
+28782,34, Private,226525, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+28783,68, ?,270339, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+28784,49, Self-emp-not-inc,343742, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K
+28785,50, Private,150975, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+28786,33, Private,207301, Assoc-acdm,12, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+28787,18, Private,135924, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+28788,45, Private,184277, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, >50K
+28789,20, Private,142233, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+28790,46, Self-emp-inc,120902, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,37, United-States, >50K
+28791,64, Local-gov,158412, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28792,39, Private,126161, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28793,35, Private,149347, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K
+28794,21, Private,322674, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K
+28795,29, Private,55390, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28796,38, State-gov,200904, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,30, United-States, >50K
+28797,45, Private,166056, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+28798,30, Self-emp-not-inc,116666, Masters,14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, >50K
+28799,41, Private,168324, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+28800,37, Private,121772, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K
+28801,45, Private,126889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,60, United-States, >50K
+28802,20, ?,401690, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+28803,45, Self-emp-inc,117605, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+28804,20, Federal-gov,410446, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K
+28805,63, Self-emp-inc,38472, Some-college,10, Widowed, Sales, Not-in-family, White, Female,14084,0,60, United-States, >50K
+28806,35, Self-emp-not-inc,335704, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+28807,24, Private,70261, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+28808,19, Private,47577, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28809,23, Private,117767, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+28810,34, Private,179641, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+28811,23, ?,343553, 11th,7, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+28812,36, Self-emp-not-inc,328466, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Mexico, >50K
+28813,46, Private,265097, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,5, United-States, <=50K
+28814,38, Local-gov,414791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+28815,55, Local-gov,48055, 12th,8, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28816,27, Private,341672, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+28817,48, Private,266764, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+28818,35, Private,233571, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K
+28819,53, Private,126592, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, United-States, >50K
+28820,47, Private,70754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28821,50, Private,138852, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,4650,0,22, United-States, <=50K
+28822,32, Private,175856, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+28823,40, Private,193494, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K
+28824,41, Private,104334, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+28825,47, Federal-gov,197332, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28826,21, Private,205844, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,25, United-States, <=50K
+28827,45, Local-gov,206459, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+28828,33, Private,202822, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,14, Trinadad&Tobago, <=50K
+28829,68, Without-pay,174695, Some-college,10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0,0,25, United-States, <=50K
+28830,44, Private,183342, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+28831,49, Private,105614, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+28832,45, Private,329603, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Poland, >50K
+28833,41, Private,77373, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,65, United-States, >50K
+28834,29, Private,207473, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K
+28835,46, Private,149161, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, <=50K
+28836,19, Private,311974, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,25, Mexico, <=50K
+28837,56, Private,175127, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28838,55, Self-emp-not-inc,111625, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+28839,29, Private,48895, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28840,21, Private,27049, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K
+28841,38, Private,108907, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K
+28842,52, Private,94988, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+28843,22, Private,218343, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+28844,20, Private,227626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K
+28845,31, Private,272856, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,50, England, <=50K
+28846,39, Private,30916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28847,55, Private,276229, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28848,35, Private,289106, Assoc-acdm,12, Separated, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+28849,67, ?,39100, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K
+28850,45, Private,192776, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,55, United-States, >50K
+28851,61, Private,147280, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+28852,18, Private,187770, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+28853,51, State-gov,213296, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28854,37, Self-emp-not-inc,107410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28855,21, ?,170272, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+28856,32, Private,86808, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K
+28857,48, Private,149210, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,45, United-States, <=50K
+28858,62, Private,123411, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,53, United-States, <=50K
+28859,21, ?,306779, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+28860,28, Private,487347, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+28861,19, Private,283945, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,1602,45, United-States, <=50K
+28862,20, Private,375698, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+28863,41, Private,271753, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+28864,29, Private,251854, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28865,47, Private,264052, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+28866,43, State-gov,28451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K
+28867,20, Private,282604, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K
+28868,29, Private,185908, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,55, United-States, >50K
+28869,51, Federal-gov,198186, Bachelors,13, Widowed, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+28870,40, Private,242521, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28871,26, Private,337940, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+28872,30, Private,212064, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+28873,36, Private,129263, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28874,68, Local-gov,144761, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,1668,20, United-States, <=50K
+28875,42, Private,109912, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K
+28876,41, Private,113324, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+28877,43, Private,187795, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+28878,20, Private,173724, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+28879,43, Private,185129, Bachelors,13, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+28880,53, Private,73134, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K
+28881,45, Private,236040, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28882,39, Private,74194, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K
+28883,31, Local-gov,102130, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+28884,23, Private,140915, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K
+28885,69, ?,107575, HS-grad,9, Divorced, ?, Not-in-family, White, Female,2964,0,35, United-States, <=50K
+28886,38, State-gov,34364, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28887,37, Self-emp-not-inc,258037, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, Cuba, >50K
+28888,18, Private,391585, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+28889,41, Self-emp-not-inc,233130, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Mexico, <=50K
+28890,30, Private,101345, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,3103,0,55, United-States, >50K
+28891,23, ?,32897, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+28892,26, Private,248612, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K
+28893,37, Private,212465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28894,25, Private,198587, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,2174,0,50, United-States, <=50K
+28895,33, Private,405913, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Peru, >50K
+28896,37, Private,588003, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+28897,31, Private,46807, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28898,27, Private,210498, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K
+28899,35, Private,206951, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+28900,28, Self-emp-not-inc,237466, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K
+28901,59, Private,279636, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, Guatemala, <=50K
+28902,42, Private,29320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+28903,50, Private,271262, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+28904,27, ?,29361, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K
+28905,32, Private,76773, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+28906,27, Private,109004, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K
+28907,43, Private,226902, Bachelors,13, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+28908,46, Private,176552, 11th,7, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K
+28909,41, Private,182303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+28910,59, Local-gov,296253, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,60, United-States, >50K
+28911,20, Private,218215, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+28912,57, Private,165695, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+28913,46, Self-emp-not-inc,51271, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,70, United-States, <=50K
+28914,45, Private,96100, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+28915,29, Local-gov,82393, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male,0,1590,45, United-States, <=50K
+28916,23, Private,248978, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+28917,46, Private,254367, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1590,48, United-States, <=50K
+28918,55, ?,200235, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+28919,58, Private,94429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+28920,38, Private,87282, Assoc-voc,11, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+28921,29, Private,119793, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,50, United-States, <=50K
+28922,57, ?,85815, HS-grad,9, Divorced, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+28923,26, Local-gov,197764, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28924,42, Private,306982, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+28925,61, Private,80896, HS-grad,9, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,45, United-States, >50K
+28926,31, Private,197886, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K
+28927,43, Private,355728, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+28928,47, Private,121124, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K
+28929,51, State-gov,193720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K
+28930,23, Private,347292, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28931,24, Private,34506, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+28932,25, Private,326370, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, ?, <=50K
+28933,22, ?,269221, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+28934,38, Private,63509, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+28935,48, Private,148254, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,16, United-States, >50K
+28936,33, Private,190511, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+28937,46, Private,268022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, ?, >50K
+28938,18, Private,20057, 7th-8th,4, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+28939,52, Private,206862, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28940,46, Private,189498, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,45, United-States, >50K
+28941,28, Private,166320, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28942,37, Private,289886, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, Vietnam, <=50K
+28943,23, ?,86337, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+28944,45, Local-gov,54190, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+28945,17, Private,147069, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+28946,56, Private,282023, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28947,38, Self-emp-inc,379485, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K
+28948,81, Private,129338, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K
+28949,22, Private,99829, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+28950,43, State-gov,182254, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+28951,31, Private,109428, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,40, United-States, <=50K
+28952,42, Self-emp-not-inc,351161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+28953,66, ?,210750, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K
+28954,50, Private,132716, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+28955,31, Private,242984, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28956,35, Private,101509, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28957,21, ?,509629, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K
+28958,36, Private,119957, Bachelors,13, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K
+28959,33, Private,69727, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+28960,36, Private,204590, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,213,40, United-States, <=50K
+28961,37, ?,50862, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K
+28962,50, Private,182907, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+28963,55, Private,206487, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+28964,29, Private,168015, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+28965,24, Private,149396, Some-college,10, Never-married, Other-service, Other-relative, Black, Female,0,0,30, Haiti, <=50K
+28966,39, Federal-gov,184964, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K
+28967,34, Private,398988, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28968,29, Private,128777, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Female,0,0,55, United-States, <=50K
+28969,60, Private,252413, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,32, United-States, >50K
+28970,33, Private,181372, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+28971,58, Private,216851, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, El-Salvador, <=50K
+28972,27, Private,106935, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28973,46, State-gov,363875, Some-college,10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+28974,63, Private,287277, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28975,38, Self-emp-not-inc,172342, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+28976,23, Private,308498, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K
+28977,29, Private,122127, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K
+28978,31, Private,106437, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K
+28979,49, Self-emp-inc,306289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+28980,45, Self-emp-inc,201699, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+28981,42, Private,282062, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+28982,48, Private,235108, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+28983,33, Private,339482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+28984,24, Private,181820, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+28985,49, Self-emp-not-inc,99335, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+28986,40, Private,367533, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K
+28987,57, Private,64960, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, <=50K
+28988,50, Private,269095, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+28989,46, Private,58683, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+28990,35, Self-emp-not-inc,89508, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908,0,60, United-States, <=50K
+28991,19, Private,100999, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+28992,18, Private,34125, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K
+28993,20, Private,115057, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28994,42, Private,139126, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+28995,46, Private,104632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K
+28996,40, Federal-gov,178866, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+28997,54, Private,139850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K
+28998,28, Private,61435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+28999,38, Private,309230, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+29000,28, Private,45613, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29001,22, Private,272615, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+29002,31, Private,54318, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29003,27, Private,165519, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29004,45, Private,48495, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+29005,38, Private,143123, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29006,67, Self-emp-not-inc,431426, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,20051,0,4, United-States, >50K
+29007,75, Private,256474, Masters,14, Never-married, Protective-serv, Not-in-family, White, Male,0,0,16, United-States, <=50K
+29008,41, Private,191451, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, >50K
+29009,37, Private,99146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+29010,47, Private,235986, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, Cuba, <=50K
+29011,34, Local-gov,429897, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Mexico, >50K
+29012,25, Private,189897, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+29013,52, Private,145155, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29014,27, State-gov,192257, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,2174,0,40, United-States, <=50K
+29015,35, Private,194960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,40, Puerto-Rico, <=50K
+29016,44, Local-gov,357814, 12th,8, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,35, Mexico, <=50K
+29017,27, Local-gov,137629, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K
+29018,42, Private,156526, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,33, United-States, <=50K
+29019,26, Private,189238, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,38, El-Salvador, <=50K
+29020,23, Private,202989, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K
+29021,28, Private,25684, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+29022,38, Self-emp-not-inc,192939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+29023,28, Private,138692, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K
+29024,29, Private,222249, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+29025,56, Self-emp-not-inc,201318, 9th,5, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411,0,50, Columbia, <=50K
+29026,23, ?,190650, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K
+29027,30, Private,56004, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K
+29028,48, Private,182313, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29029,45, Self-emp-not-inc,138962, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,72, ?, <=50K
+29030,38, Private,277248, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Cuba, >50K
+29031,24, Private,125031, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+29032,47, State-gov,216414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29033,22, Private,171176, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,48, ?, <=50K
+29034,29, Private,356133, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K
+29035,45, Private,185397, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29036,24, Private,308285, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+29037,40, Private,56651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29038,28, Local-gov,154863, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Trinadad&Tobago, >50K
+29039,46, Federal-gov,44706, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K
+29040,34, ?,222548, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K
+29041,32, Private,248754, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29042,20, Private,104981, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29043,23, Private,315065, Some-college,10, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K
+29044,46, Private,188325, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+29045,21, Private,221661, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K
+29046,59, Private,81973, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+29047,31, Private,169122, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+29048,48, Private,216734, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29049,34, Private,98101, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29050,19, Private,292511, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+29051,20, Private,122971, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K
+29052,29, Private,124953, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K
+29053,54, Private,123011, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+29054,36, Private,76417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K
+29055,43, Private,351576, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+29056,46, Federal-gov,33794, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K
+29057,33, Private,79923, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+29058,33, Private,117983, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+29059,36, Private,186110, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29060,37, Private,187589, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5178,0,40, United-States, >50K
+29061,37, ?,319685, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,54, United-States, >50K
+29062,64, ?,64101, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K
+29063,45, Self-emp-not-inc,162923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+29064,25, Private,288519, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29065,28, Private,33798, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29066,26, Private,195734, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2354,0,40, United-States, <=50K
+29067,23, Private,214120, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+29068,24, Private,113515, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29069,58, Self-emp-not-inc,261230, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29070,36, Private,98515, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+29071,46, Private,187715, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+29072,23, ?,214238, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+29073,32, Private,123964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, <=50K
+29074,26, Private,68991, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+29075,52, Private,292110, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29076,19, Private,198320, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K
+29077,33, Private,709798, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+29078,60, Private,372838, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29079,39, Private,160402, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K
+29080,45, Private,98475, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+29081,37, Local-gov,97136, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29082,29, Private,136985, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+29083,53, Private,187356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,66, United-States, <=50K
+29084,46, State-gov,107231, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,40, United-States, <=50K
+29085,20, Private,305874, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+29086,39, Private,290922, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+29087,48, Private,248254, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,40, United-States, >50K
+29088,38, Private,160808, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,4386,0,48, United-States, <=50K
+29089,36, Private,247321, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+29090,53, Private,247651, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,56, United-States, <=50K
+29091,29, Private,214702, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1974,35, United-States, <=50K
+29092,64, Private,75577, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,50, United-States, <=50K
+29093,34, Private,561334, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29094,36, ?,224886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+29095,41, Local-gov,401134, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+29096,34, Private,258170, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K
+29097,68, ?,141181, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K
+29098,37, Private,292370, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, ?, >50K
+29099,22, Private,300871, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+29100,43, Private,136721, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29101,19, ?,140399, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K
+29102,36, Private,109133, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29103,47, Private,186534, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+29104,25, Private,226891, Assoc-voc,11, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+29105,33, Private,241885, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29106,27, Private,97165, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K
+29107,33, Private,212918, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,70, United-States, <=50K
+29108,24, Private,211585, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K
+29109,47, Local-gov,178309, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29110,48, Self-emp-inc,481987, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29111,28, Private,215211, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+29112,33, Local-gov,194901, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29113,44, Private,340885, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1977,40, United-States, >50K
+29114,33, Local-gov,190290, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K
+29115,26, Private,188569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+29116,22, Private,162282, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+29117,34, Private,287315, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+29118,31, Self-emp-inc,304212, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K
+29119,73, ?,200878, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K
+29120,38, Local-gov,256864, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29121,51, Self-emp-not-inc,46401, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+29122,36, Private,37778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29123,29, Private,191722, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,54, United-States, >50K
+29124,64, Self-emp-not-inc,103643, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K
+29125,24, Private,143766, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K
+29126,21, State-gov,204425, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K
+29127,28, Private,156257, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+29128,18, ?,113185, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+29129,41, Self-emp-inc,112262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+29130,17, Private,28031, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K
+29131,58, Private,320102, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+29132,50, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K
+29133,30, Private,356015, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K
+29134,47, Private,278900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29135,24, Private,142528, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+29136,50, Federal-gov,343014, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K
+29137,29, Private,201017, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, Scotland, <=50K
+29138,31, Self-emp-not-inc,81030, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29139,40, Self-emp-not-inc,34007, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K
+29140,31, Private,29662, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+29141,53, Private,347446, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+29142,33, Private,90668, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29143,43, Private,190403, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+29144,56, Private,109015, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,50, United-States, >50K
+29145,38, Private,234807, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+29146,18, Private,157131, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+29147,50, Private,94081, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29148,78, Private,135566, HS-grad,9, Widowed, Sales, Unmarried, White, Female,2329,0,12, United-States, <=50K
+29149,27, Private,103164, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29150,19, Private,570002, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+29151,24, State-gov,215797, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29152,20, Private,289405, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1602,15, United-States, <=50K
+29153,25, Private,239461, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K
+29154,34, Private,101510, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K
+29155,30, Self-emp-inc,443546, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+29156,37, Federal-gov,141029, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29157,38, Private,207202, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+29158,67, Without-pay,137192, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,12, Philippines, <=50K
+29159,35, Private,222989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+29160,75, Self-emp-not-inc,36325, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+29161,47, Private,73394, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K
+29162,23, Private,249046, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29163,51, Federal-gov,100653, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K
+29164,42, Local-gov,1125613, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29165,32, Private,101352, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, >50K
+29166,54, Private,340476, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+29167,20, Private,192711, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+29168,39, Private,273362, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+29169,41, Private,100451, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,38, United-States, >50K
+29170,35, Private,85399, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29171,45, Local-gov,168191, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K
+29172,27, Private,153475, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29173,61, Self-emp-not-inc,196773, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+29174,41, Private,180138, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29175,22, Private,48347, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+29176,55, Private,175071, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024,0,40, United-States, >50K
+29177,66, ?,129476, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+29178,25, Private,181772, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29179,20, Private,284317, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+29180,20, Private,237305, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,35, United-States, <=50K
+29181,67, Self-emp-inc,111321, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K
+29182,44, Private,278476, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+29183,42, Private,39060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+29184,29, Local-gov,205262, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,40, Ecuador, <=50K
+29185,48, Private,198000, Some-college,10, Never-married, Craft-repair, Unmarried, White, Female,0,0,38, United-States, >50K
+29186,25, Private,397962, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K
+29187,31, Private,178370, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, >50K
+29188,48, Private,121253, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,2472,70, United-States, >50K
+29189,40, Private,56072, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K
+29190,26, Private,176756, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+29191,28, Private,60374, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+29192,52, Private,165681, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+29193,41, Self-emp-not-inc,287037, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+29194,39, Self-emp-not-inc,55568, Bachelors,13, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K
+29195,48, Private,155509, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,16, Trinadad&Tobago, <=50K
+29196,19, Private,201178, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+29197,27, Private,37250, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1651,40, United-States, <=50K
+29198,59, Private,314149, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K
+29199,19, Private,264593, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+29200,32, Private,159589, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+29201,39, Private,454915, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+29202,33, Private,285131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29203,38, Private,150057, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29204,27, Private,55390, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K
+29205,23, Private,314894, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K
+29206,59, ?,184948, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K
+29207,25, Local-gov,124483, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K
+29208,37, Self-emp-inc,97986, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K
+29209,31, Private,210562, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+29210,24, Private,233280, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,37, United-States, <=50K
+29211,53, Local-gov,164300, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Dominican-Republic, <=50K
+29212,26, Private,227489, Some-college,10, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, ?, <=50K
+29213,25, Private,263773, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+29214,59, Private,96459, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29215,39, Federal-gov,116608, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29216,28, Private,180007, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+29217,22, Private,305466, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29218,20, Private,238917, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K
+29219,25, Private,129784, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+29220,27, Private,367390, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+29221,20, Private,235691, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+29222,63, ?,166425, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,24, United-States, <=50K
+29223,43, Self-emp-not-inc,160369, 10th,6, Divorced, Farming-fishing, Unmarried, White, Male,0,0,25, United-States, <=50K
+29224,39, Private,206298, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29225,27, Private,183523, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+29226,17, Private,217342, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,5, United-States, <=50K
+29227,40, State-gov,141858, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K
+29228,50, Private,213296, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+29229,23, Self-emp-inc,201682, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+29230,60, Private,178312, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,65, United-States, >50K
+29231,30, Private,269723, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29232,24, Private,200593, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+29233,23, Private,32616, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+29234,24, Private,259510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,30, United-States, <=50K
+29235,45, Self-emp-not-inc,271828, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+29236,58, Self-emp-inc,78104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+29237,22, Private,113703, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,20, United-States, <=50K
+29238,41, Private,187802, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29239,48, Private,440706, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+29240,31, Private,191834, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+29241,33, Private,149184, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+29242,49, Self-emp-inc,315998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+29243,30, Private,159589, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+29244,38, Private,60313, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29245,58, Local-gov,32855, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+29246,58, Private,142326, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+29247,61, Self-emp-not-inc,201965, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29248,58, Private,172333, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K
+29249,32, Private,206541, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+29250,33, Self-emp-not-inc,177828, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29251,28, Private,303440, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+29252,22, Private,89991, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K
+29253,35, Private,186009, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+29254,59, Private,170988, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+29255,45, Self-emp-inc,180239, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K
+29256,50, Self-emp-not-inc,213654, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K
+29257,56, Self-emp-inc,32316, 12th,8, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29258,36, Self-emp-not-inc,150371, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29259,18, ?,387871, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+29260,28, Private,314649, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K
+29261,42, Private,240255, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+29262,60, Private,206339, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+29263,41, Self-emp-inc,230168, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,91, United-States, <=50K
+29264,42, Private,171424, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,45, United-States, >50K
+29265,36, Private,148581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+29266,52, Local-gov,89705, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29267,42, Self-emp-not-inc,248406, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29268,26, Local-gov,72594, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K
+29269,31, Local-gov,137537, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+29270,47, Private,225065, 5th-6th,3, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K
+29271,35, Private,217274, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+29272,19, Private,69151, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+29273,59, Self-emp-not-inc,81107, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,80, United-States, >50K
+29274,38, Private,205852, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29275,36, Private,201117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+29276,35, Private,397307, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+29277,39, Private,115422, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+29278,64, Private,114994, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29279,17, Local-gov,39815, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+29280,49, Private,151584, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K
+29281,19, Private,164938, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+29282,36, Self-emp-not-inc,179896, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3137,0,40, United-States, <=50K
+29283,26, Private,253841, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+29284,27, Private,177955, 5th-6th,3, Never-married, Priv-house-serv, Other-relative, White, Female,2176,0,40, El-Salvador, <=50K
+29285,66, Private,113323, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,40, United-States, >50K
+29286,38, Private,320305, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+29287,25, Private,229287, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,25, United-States, <=50K
+29288,19, Private,100790, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29289,30, Private,331419, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,4787,0,50, United-States, >50K
+29290,22, Private,171419, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K
+29291,60, Private,202226, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,44, United-States, >50K
+29292,54, Private,308087, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,18, United-States, >50K
+29293,46, Private,220124, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K
+29294,33, State-gov,31703, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+29295,51, Local-gov,153908, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29296,43, Private,180599, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+29297,18, ?,252046, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+29298,60, Self-emp-inc,160062, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K
+29299,39, Self-emp-not-inc,148443, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+29300,23, Private,91733, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,3325,0,40, United-States, <=50K
+29301,39, Private,176634, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29302,40, Local-gov,74949, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29303,48, Private,165484, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+29304,24, Private,44738, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+29305,32, Private,130040, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29306,31, Self-emp-not-inc,234537, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+29307,39, Private,179016, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29308,27, Private,335421, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+29309,45, State-gov,312678, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,38, United-States, <=50K
+29310,22, ?,313786, HS-grad,9, Divorced, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K
+29311,31, Private,198751, Bachelors,13, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K
+29312,63, Private,131519, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29313,45, Private,285060, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29314,28, State-gov,189765, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+29315,23, Private,130905, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+29316,50, Private,146325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K
+29317,33, Private,102821, 12th,8, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+29318,22, ?,137876, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+29319,27, Private,388998, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,13550,0,46, United-States, >50K
+29320,29, Private,82910, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29321,36, Private,309122, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+29322,60, Private,532845, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, >50K
+29323,46, Private,195833, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, ?, <=50K
+29324,67, ?,98882, Masters,14, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29325,20, ?,133515, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, France, <=50K
+29326,23, Private,55215, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K
+29327,38, Self-emp-inc,176357, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+29328,60, Private,185836, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29329,20, Self-emp-not-inc,54152, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K
+29330,37, Private,212437, Some-college,10, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K
+29331,37, Private,224566, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+29332,58, Private,200040, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29333,25, Private,41526, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,30, Canada, <=50K
+29334,27, Private,89598, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K
+29335,33, Private,323811, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K
+29336,43, State-gov,30824, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29337,21, Federal-gov,181096, Some-college,10, Never-married, Tech-support, Own-child, Black, Male,0,0,20, United-States, <=50K
+29338,45, Private,217953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K
+29339,44, Private,222635, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+29340,52, ?,121942, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+29341,53, Private,346871, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,4787,0,46, United-States, >50K
+29342,31, Private,184889, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,20, United-States, <=50K
+29343,18, Federal-gov,101709, 11th,7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,15, Philippines, <=50K
+29344,20, Private,125010, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+29345,32, Private,53135, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29346,48, Private,498328, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+29347,46, Private,604380, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+29348,28, Private,174327, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+29349,27, Self-emp-not-inc,357283, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29350,18, Federal-gov,280728, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K
+29351,69, Self-emp-not-inc,185039, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,12, United-States, >50K
+29352,50, Self-emp-inc,251240, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+29353,43, Private,143046, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Greece, <=50K
+29354,32, Private,210541, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+29355,43, Private,172364, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K
+29356,52, Self-emp-not-inc,138611, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K
+29357,50, Private,176227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+29358,35, Private,139647, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+29359,20, ?,174461, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K
+29360,73, ?,123345, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,65, United-States, <=50K
+29361,46, Private,164427, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K
+29362,58, Private,205235, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+29363,46, Self-emp-inc,192779, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+29364,40, Private,163434, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29365,25, Private,264055, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+29366,22, Private,336215, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+29367,33, Federal-gov,78307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+29368,49, Federal-gov,233059, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29369,62, Private,91433, 10th,6, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+29370,56, Local-gov,157525, Some-college,10, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,48, United-States, <=50K
+29371,24, Private,86065, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, Mexico, <=50K
+29372,42, Private,22831, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29373,41, Private,180181, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+29374,23, Private,212617, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,66, Ecuador, <=50K
+29375,22, ?,125905, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+29376,35, Private,336793, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+29377,42, Private,314649, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K
+29378,22, Private,283969, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K
+29379,32, Self-emp-not-inc,35595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+29380,25, Private,410240, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+29381,66, Private,178120, 5th-6th,3, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,15, United-States, <=50K
+29382,26, State-gov,294400, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K
+29383,46, Private,65353, Some-college,10, Divorced, Transport-moving, Own-child, White, Male,3325,0,55, United-States, <=50K
+29384,55, Private,189719, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+29385,24, Private,23438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29386,25, Private,178037, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+29387,22, Private,109815, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29388,31, Private,197860, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29389,30, Private,271933, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29390,54, Private,141663, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K
+29391,19, ?,199609, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+29392,56, Private,92215, 9th,5, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, >50K
+29393,47, Private,93449, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K
+29394,29, Private,235393, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+29395,53, Private,151864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29396,22, Private,189277, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29397,50, ?,204577, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,1902,60, United-States, >50K
+29398,42, Private,344572, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K
+29399,21, Private,265356, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+29400,36, Self-emp-inc,166880, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K
+29401,60, Private,188650, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K
+29402,69, Private,213249, Assoc-voc,11, Widowed, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+29403,31, Private,112627, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+29404,48, Private,125120, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, <=50K
+29405,23, Private,60409, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29406,24, Private,243190, Assoc-acdm,12, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male,8614,0,40, United-States, >50K
+29407,47, Private,583755, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+29408,36, Private,68089, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+29409,39, Private,306646, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29410,22, Private,186573, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,46, United-States, <=50K
+29411,27, Private,279580, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K
+29412,36, Private,437909, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29413,54, Private,420691, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+29414,33, Federal-gov,94193, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29415,42, Private,154076, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+29416,52, Private,145879, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+29417,23, Private,208946, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,32, United-States, <=50K
+29418,33, Private,231826, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K
+29419,30, Private,178587, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+29420,35, Private,213208, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,38, Jamaica, <=50K
+29421,35, ?,139770, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K
+29422,27, Private,153869, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,37, United-States, <=50K
+29423,24, Private,88676, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+29424,44, Local-gov,151089, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29425,62, Private,138621, Assoc-voc,11, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+29426,45, Private,30457, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+29427,75, Self-emp-not-inc,213349, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+29428,47, Private,192776, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+29429,64, Private,192884, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+29430,54, Private,103024, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,42, United-States, >50K
+29431,41, Federal-gov,510072, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29432,33, Private,178615, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29433,20, Private,249956, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+29434,51, Private,177705, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+29435,45, Self-emp-inc,121124, Prof-school,15, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+29436,18, ?,25837, 11th,7, Never-married, ?, Own-child, White, Male,0,0,72, United-States, <=50K
+29437,43, Private,557349, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Yugoslavia, <=50K
+29438,30, Private,89735, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K
+29439,32, Private,222548, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+29440,45, Private,47314, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, ?, >50K
+29441,61, Private,316359, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29442,21, Private,200089, 1st-4th,2, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, England, <=50K
+29443,56, Private,271795, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K
+29444,28, Private,31801, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K
+29445,23, Private,196508, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K
+29446,55, Private,189933, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K
+29447,27, ?,501172, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,419,20, Mexico, <=50K
+29448,33, Private,361497, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K
+29449,22, Private,150175, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+29450,43, Local-gov,155106, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29451,32, Self-emp-not-inc,62272, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+29452,38, Private,189916, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+29453,18, Private,324011, 9th,5, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K
+29454,35, Private,105803, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+29455,67, ?,53588, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29456,29, Private,107998, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K
+29457,19, Private,340567, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K
+29458,39, Private,167777, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+29459,29, Private,228860, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K
+29460,45, Self-emp-inc,40666, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+29461,44, Private,277488, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K
+29462,42, Local-gov,195897, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29463,34, Private,242984, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29464,52, Local-gov,236497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+29465,18, ?,312634, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+29466,64, Private,59829, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, France, <=50K
+29467,30, Private,24292, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+29468,43, Local-gov,180407, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, Germany, <=50K
+29469,49, Self-emp-not-inc,121238, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+29470,35, Private,281982, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29471,37, Self-emp-not-inc,348739, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+29472,49, Private,194189, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29473,19, Private,329130, 11th,7, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+29474,22, Private,205939, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,2202,0,4, United-States, <=50K
+29475,31, Private,62165, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+29476,26, Private,224361, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29477,44, Private,34722, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+29478,38, Private,175972, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+29479,33, Self-emp-not-inc,359428, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+29480,24, ?,138504, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,37, United-States, <=50K
+29481,18, Private,268952, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+29482,32, Private,257978, Assoc-voc,11, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29483,27, Private,118799, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29484,28, State-gov,78356, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, Jamaica, <=50K
+29485,30, Self-emp-not-inc,609789, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29486,33, Private,123157, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,38, United-States, <=50K
+29487,74, Private,84197, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,10, United-States, <=50K
+29488,36, Private,162312, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,70, South, <=50K
+29489,36, Private,138441, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, <=50K
+29490,29, Private,239753, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2057,20, United-States, <=50K
+29491,39, Private,262158, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+29492,25, Self-emp-inc,133373, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K
+29493,21, Private,57916, HS-grad,9, Separated, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+29494,39, State-gov,142897, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K
+29495,38, Private,161016, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K
+29496,20, Private,227491, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K
+29497,51, Private,306790, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29498,21, Private,33831, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29499,36, Private,188972, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29500,50, Private,313546, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29501,38, Private,220585, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+29502,25, Local-gov,476599, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29503,23, Private,163665, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+29504,36, Private,306646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+29505,41, Private,206470, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, <=50K
+29506,34, Private,169583, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+29507,19, State-gov,127085, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K
+29508,18, Private,152044, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K
+29509,36, Private,111387, 10th,6, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+29510,46, Private,102318, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K
+29511,29, Private,213692, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K
+29512,23, Private,163665, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,32, United-States, <=50K
+29513,35, Private,30529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29514,35, Private,290226, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+29515,40, Private,182136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29516,22, Private,73266, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+29517,19, State-gov,60412, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K
+29518,70, Private,187891, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29519,38, Private,194304, Some-college,10, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,55, United-States, <=50K
+29520,35, Private,160910, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+29521,25, Private,148300, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+29522,39, Private,165743, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+29523,50, Private,123174, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,37, ?, >50K
+29524,43, Private,184018, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+29525,37, Federal-gov,188069, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Philippines, >50K
+29526,51, Private,138852, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,40, El-Salvador, >50K
+29527,29, ?,78529, 10th,6, Separated, ?, Unmarried, White, Female,0,0,12, United-States, <=50K
+29528,20, Private,164441, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+29529,21, Private,199419, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29530,47, Private,181342, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K
+29531,44, Private,173382, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+29532,17, Private,184924, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,15, United-States, <=50K
+29533,25, Private,215384, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29534,43, State-gov,424094, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29535,46, Federal-gov,212120, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+29536,42, Private,185764, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+29537,46, Local-gov,133969, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+29538,22, Private,32616, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+29539,49, Private,149210, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+29540,21, Private,161210, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+29541,53, Private,285621, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+29542,43, Private,282069, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,42, United-States, <=50K
+29543,22, Private,97508, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+29544,33, Private,356823, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,10520,0,45, United-States, >50K
+29545,28, Private,171133, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+29546,25, Private,231638, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,24, United-States, <=50K
+29547,40, Private,191342, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K
+29548,50, Private,226497, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+29549,48, Self-emp-not-inc,373606, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,65, United-States, >50K
+29550,30, Private,39150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29551,33, Private,288840, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K
+29552,34, Private,293703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+29553,42, Private,79586, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+29554,48, Self-emp-not-inc,82098, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, United-States, <=50K
+29555,38, Private,245372, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+29556,29, Private,78261, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29557,33, Private,355996, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29558,64, Private,218490, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,55, United-States, >50K
+29559,44, Private,110908, Assoc-voc,11, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,25, United-States, <=50K
+29560,42, Federal-gov,34218, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K
+29561,49, Private,248895, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+29562,25, Private,363707, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29563,33, Private,272411, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29564,38, Private,128033, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+29565,20, Private,177287, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K
+29566,44, Private,197344, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29567,45, Private,285858, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+29568,27, Self-emp-inc,193868, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29569,18, Private,232082, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+29570,38, Private,27408, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+29571,45, Private,247043, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K
+29572,27, Local-gov,162404, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,2174,0,40, United-States, <=50K
+29573,64, Private,236341, 5th-6th,3, Widowed, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K
+29574,66, Local-gov,179285, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3432,0,20, United-States, <=50K
+29575,34, Private,30433, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+29576,45, Self-emp-not-inc,102771, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+29577,42, Self-emp-not-inc,221172, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29578,32, Private,108116, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K
+29579,26, Private,375499, 10th,6, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K
+29580,27, Private,178688, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+29581,21, Private,276709, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K
+29582,23, ?,238087, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K
+29583,47, Private,84790, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29584,20, State-gov,37482, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+29585,46, State-gov,178686, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+29586,35, ?,153926, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K
+29587,55, Private,110748, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+29588,28, Private,116613, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K
+29589,21, Private,108687, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+29590,36, Private,365739, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29591,29, Private,195284, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K
+29592,38, Private,125933, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K
+29593,37, Private,140854, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29594,81, Self-emp-not-inc,193237, 1st-4th,2, Widowed, Sales, Other-relative, White, Male,0,0,45, Mexico, <=50K
+29595,41, Private,46870, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29596,29, Private,351324, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+29597,30, Self-emp-not-inc,189265, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29598,25, Private,236564, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29599,42, Federal-gov,557644, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29600,30, Private,374454, HS-grad,9, Divorced, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+29601,65, ?,160654, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+29602,18, Private,122775, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+29603,26, Private,214413, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Male,6497,0,48, United-States, <=50K
+29604,30, Private,329425, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K
+29605,61, Private,178312, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K
+29606,21, Private,241951, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+29607,53, Private,130143, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+29608,41, Self-emp-inc,114580, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,55, United-States, >50K
+29609,43, Self-emp-inc,130126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+29610,60, Private,399387, 7th-8th,4, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,15, United-States, <=50K
+29611,47, Private,163814, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29612,48, Private,69586, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29613,32, Private,237903, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+29614,25, ?,219897, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,35, Canada, <=50K
+29615,31, Private,243165, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+29616,33, State-gov,173806, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+29617,27, Self-emp-not-inc,65308, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+29618,44, Private,408531, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K
+29619,44, Private,235786, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K
+29620,37, Private,314963, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29621,34, Private,81206, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29622,51, Federal-gov,293196, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29623,51, Private,95329, Masters,14, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K
+29624,25, Local-gov,45474, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+29625,25, Private,372728, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,24, Jamaica, <=50K
+29626,29, Federal-gov,116394, Bachelors,13, Married-AF-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+29627,36, Self-emp-not-inc,34180, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, >50K
+29628,55, Private,327589, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29629,39, Private,706180, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+29630,31, Private,32550, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29631,31, Private,173858, Prof-school,15, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+29632,51, Self-emp-inc,230095, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+29633,30, Private,139012, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,2463,0,40, Vietnam, <=50K
+29634,62, Private,174711, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+29635,37, Private,171150, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K
+29636,30, Self-emp-inc,77689, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+29637,27, Private,193898, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K
+29638,32, Private,195000, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K
+29639,23, Private,303121, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+29640,35, Self-emp-not-inc,188540, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+29641,46, Private,158656, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K
+29642,45, Self-emp-inc,204196, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K
+29643,27, Private,183802, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29644,46, Private,148995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+29645,22, Private,190903, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+29646,37, State-gov,173780, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K
+29647,42, Private,251239, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, <=50K
+29648,45, Private,112761, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+29649,33, State-gov,425785, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+29650,46, Private,197731, Assoc-voc,11, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K
+29651,24, Private,119156, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K
+29652,56, Private,133819, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29653,34, Private,185556, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,12, United-States, >50K
+29654,50, Private,109277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+29655,48, Self-emp-inc,36020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29656,45, Private,45857, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, United-States, <=50K
+29657,55, Private,184882, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,50, United-States, >50K
+29658,41, State-gov,342834, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29659,66, Private,234743, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K
+29660,29, Federal-gov,106179, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K
+29661,37, Private,177895, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,5013,0,40, United-States, <=50K
+29662,63, ?,257876, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+29663,61, Private,86067, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+29664,64, Private,66634, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,27828,0,50, United-States, >50K
+29665,35, Private,138441, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K
+29666,22, Private,279802, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+29667,58, Private,407138, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2936,0,50, Mexico, <=50K
+29668,58, Private,31732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+29669,24, Private,204172, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,48, United-States, <=50K
+29670,34, Private,100593, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,6, United-States, <=50K
+29671,33, Local-gov,162623, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+29672,33, Self-emp-not-inc,80933, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K
+29673,17, Private,47425, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+29674,27, Private,107812, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, >50K
+29675,20, Self-emp-inc,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+29676,52, Private,117496, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,1755,40, United-States, >50K
+29677,30, Private,209691, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29678,22, Private,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29679,20, Private,190772, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29680,64, Local-gov,199298, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Female,0,0,45, ?, <=50K
+29681,49, Private,187370, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K
+29682,38, Private,216129, Bachelors,13, Divorced, Other-service, Not-in-family, Black, Female,0,0,60, ?, <=50K
+29683,46, Federal-gov,219293, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K
+29684,17, Private,136363, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+29685,45, Private,233799, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+29686,27, Private,207611, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+29687,45, Self-emp-inc,178344, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K
+29688,26, Self-emp-inc,187652, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,78, United-States, >50K
+29689,23, Private,188545, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,1974,20, United-States, <=50K
+29690,44, Local-gov,58124, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K
+29691,36, Private,321733, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+29692,35, Private,206253, 9th,5, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29693,24, ?,152140, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+29694,56, Private,76281, Bachelors,13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+29695,47, Private,606752, Masters,14, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29696,32, Private,29933, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K
+29697,29, Private,114158, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,3325,0,10, United-States, <=50K
+29698,55, ?,227203, Assoc-acdm,12, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K
+29699,35, Self-emp-inc,65624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29700,37, Private,34146, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,68, United-States, <=50K
+29701,36, Self-emp-not-inc,34378, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,3908,0,75, United-States, <=50K
+29702,33, Private,141490, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K
+29703,34, Private,199227, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29704,24, Private,224954, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+29705,25, Private,231357, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29706,31, Self-emp-inc,113530, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+29707,38, Private,22245, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29708,30, Private,36383, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, >50K
+29709,35, Private,320305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K
+29710,67, ?,201657, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,60, United-States, <=50K
+29711,34, Private,48935, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+29712,46, Private,101455, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+29713,19, Local-gov,243960, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K
+29714,26, Private,90915, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Female,0,0,15, United-States, <=50K
+29715,28, Private,315287, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29716,47, Private,106255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29717,49, Local-gov,215895, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K
+29718,33, Self-emp-not-inc,170979, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+29719,44, Private,210525, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29720,30, Private,195488, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, Guatemala, <=50K
+29721,18, Private,152246, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,16, United-States, <=50K
+29722,60, Self-emp-not-inc,187794, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,60, United-States, >50K
+29723,44, Private,110396, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,56, United-States, >50K
+29724,81, ?,89391, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, >50K
+29725,43, State-gov,254817, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29726,35, Private,41777, 12th,8, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K
+29727,58, Self-emp-not-inc,234841, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K
+29728,32, Private,79586, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K
+29729,40, Private,115331, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+29730,32, Private,63564, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+29731,21, Private,132053, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1721,35, United-States, <=50K
+29732,44, Private,370502, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Mexico, <=50K
+29733,33, Private,59083, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,45, United-States, >50K
+29734,25, Private,69413, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+29735,42, Private,32981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29736,27, Private,176683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+29737,62, ?,144116, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+29738,31, Self-emp-not-inc,209213, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, ?, <=50K
+29739,33, State-gov,150657, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K
+29740,50, Self-emp-not-inc,124793, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+29741,50, Private,22211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K
+29742,46, Private,270565, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+29743,22, Private,38251, Assoc-acdm,12, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K
+29744,66, State-gov,162945, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051,0,55, United-States, >50K
+29745,52, Private,195638, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+29746,57, Self-emp-not-inc,118806, 1st-4th,2, Widowed, Craft-repair, Other-relative, White, Female,0,1602,45, Columbia, <=50K
+29747,41, Self-emp-not-inc,44006, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29748,42, Private,119679, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,42, United-States, <=50K
+29749,19, Private,333953, 12th,8, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K
+29750,45, Local-gov,172111, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K
+29751,51, Self-emp-not-inc,32372, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,99, United-States, <=50K
+29752,69, ?,117525, Assoc-acdm,12, Divorced, ?, Unmarried, White, Female,0,0,1, United-States, <=50K
+29753,45, Self-emp-not-inc,123681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+29754,48, Private,317360, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+29755,60, Federal-gov,119832, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+29756,42, Private,135056, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+29757,19, State-gov,135162, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+29758,39, Self-emp-not-inc,194004, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K
+29759,46, Private,177633, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+29760,58, Local-gov,212864, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K
+29761,36, Private,30509, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+29762,21, Private,118712, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K
+29763,41, Private,199018, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29764,17, Private,151799, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+29765,29, Private,181280, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29766,52, Private,232024, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+29767,33, Private,226267, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K
+29768,38, Private,240467, Masters,14, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K
+29769,42, Private,154374, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+29770,24, State-gov,231473, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K
+29771,59, Private,158813, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+29772,36, Private,346478, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,45, United-States, >50K
+29773,54, Private,215990, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K
+29774,39, Private,177154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+29775,42, Self-emp-not-inc,238188, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,96, United-States, <=50K
+29776,54, Self-emp-not-inc,156800, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+29777,26, Private,130620, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K
+29778,50, Private,175339, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+29779,42, Private,37937, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K
+29780,48, Federal-gov,166634, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K
+29781,31, Private,221167, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+29782,56, Private,179641, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+29783,28, Local-gov,213195, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+29784,34, Private,157747, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+29785,28, Private,227840, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29786,41, Private,169104, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K
+29787,44, Private,186916, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,60, United-States, >50K
+29788,34, Private,37646, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K
+29789,26, Private,157028, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+29790,37, Private,188774, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2824,40, United-States, >50K
+29791,64, ?,146272, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3411,0,15, United-States, <=50K
+29792,25, Private,182656, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29793,48, Self-emp-not-inc,200471, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29794,47, Private,358465, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29795,17, Private,78602, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K
+29796,44, Private,213416, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+29797,46, Local-gov,345911, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29798,32, ?,119522, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29799,42, Federal-gov,126320, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+29800,33, Self-emp-not-inc,235271, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+29801,61, Private,141745, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+29802,47, Private,359461, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29803,35, Private,109351, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,8614,0,45, United-States, >50K
+29804,62, Private,148113, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+29805,62, Self-emp-not-inc,75478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29806,38, Private,100375, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K
+29807,19, ?,28455, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+29808,33, Private,231413, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+29809,39, Local-gov,119421, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,42, United-States, <=50K
+29810,17, Private,206998, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+29811,58, Private,183810, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29812,35, Self-emp-inc,187053, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+29813,34, Local-gov,155781, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,4064,0,50, United-States, <=50K
+29814,55, ?,193895, 7th-8th,4, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+29815,32, Private,48520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29816,19, Self-emp-inc,170125, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+29817,41, Private,107584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29818,24, Private,196742, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+29819,52, ?,244214, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+29820,48, Local-gov,127921, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+29821,32, Private,42617, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K
+29822,47, Local-gov,191389, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+29823,38, Private,187983, Prof-school,15, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K
+29824,18, Private,215110, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K
+29825,25, Private,230292, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29826,36, Private,90159, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K
+29827,40, Private,175398, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+29828,56, Self-emp-not-inc,53366, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+29829,50, Private,46155, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+29830,55, Private,61708, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,6418,0,50, United-States, >50K
+29831,32, Local-gov,112650, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+29832,41, Private,173682, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K
+29833,28, Private,160981, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K
+29834,53, Private,72257, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+29835,26, ?,182332, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K
+29836,60, Local-gov,48788, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,5455,0,55, United-States, <=50K
+29837,21, Private,417668, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+29838,29, Private,107458, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29839,73, Private,147551, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2174,50, United-States, >50K
+29840,43, Self-emp-inc,33729, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+29841,45, Private,101977, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+29842,35, ?,374716, 9th,5, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, <=50K
+29843,36, Private,214378, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K
+29844,25, Private,111243, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,50, United-States, <=50K
+29845,38, Private,252947, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K
+29846,30, Local-gov,118500, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29847,49, Private,195612, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K
+29848,41, Local-gov,174575, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29849,27, Private,190391, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29850,64, Private,166715, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K
+29851,41, Self-emp-not-inc,142725, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+29852,37, Private,73471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,47, United-States, >50K
+29853,51, Private,241745, 5th-6th,3, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K
+29854,35, Private,316141, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,7443,0,40, United-States, <=50K
+29855,61, Local-gov,248595, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+29856,52, Private,90189, 7th-8th,4, Divorced, Priv-house-serv, Own-child, Black, Female,0,0,16, United-States, <=50K
+29857,40, Private,205195, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+29858,20, Private,148940, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+29859,52, Local-gov,298035, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+29860,50, Private,154728, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+29861,49, Private,166809, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+29862,36, State-gov,97136, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29863,33, Private,347623, Masters,14, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K
+29864,40, Private,117917, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K
+29865,45, Private,266860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29866,22, Private,71864, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,35, United-States, <=50K
+29867,47, Private,158451, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,2, United-States, >50K
+29868,24, Private,229826, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K
+29869,19, Private,121788, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K
+29870,40, Private,151365, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29871,40, Private,360884, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, >50K
+29872,54, Private,36480, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K
+29873,43, Self-emp-not-inc,116666, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,35, United-States, >50K
+29874,63, Local-gov,214143, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K
+29875,18, Private,45316, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+29876,19, Private,311974, 1st-4th,2, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K
+29877,49, Self-emp-not-inc,48495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+29878,27, Private,115945, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+29879,49, Local-gov,170846, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29880,60, Private,142922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+29881,71, ?,181301, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+29882,34, Private,286675, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29883,29, Private,233168, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,46, United-States, >50K
+29884,30, Private,177304, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+29885,46, Private,336984, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K
+29886,32, Self-emp-not-inc,379412, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29887,25, Private,180778, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, <=50K
+29888,25, Private,141876, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,45, ?, <=50K
+29889,22, Private,228306, Some-college,10, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K
+29890,32, Private,329993, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+29891,40, Private,247469, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K
+29892,51, Private,673764, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K
+29893,20, Private,155775, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+29894,34, Private,81223, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K
+29895,40, Private,236021, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29896,34, State-gov,103371, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29897,19, Private,199480, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+29898,53, Private,152657, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+29899,42, Federal-gov,460214, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+29900,38, Private,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+29901,41, Private,197372, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+29902,64, ?,267198, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K
+29903,30, State-gov,111883, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29904,20, Private,66917, 11th,7, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,40, Mexico, <=50K
+29905,19, Private,292583, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+29906,20, Private,391679, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,60, United-States, <=50K
+29907,35, Private,475324, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+29908,33, Self-emp-not-inc,218164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29909,43, Self-emp-not-inc,101534, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,15, United-States, >50K
+29910,38, Federal-gov,65706, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K
+29911,50, Self-emp-not-inc,156606, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, <=50K
+29912,23, Private,200967, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+29913,30, Local-gov,164493, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K
+29914,33, Private,547886, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29915,48, Private,232145, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29916,43, Private,96421, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, Outlying-US(Guam-USVI-etc), <=50K
+29917,33, Private,554206, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, Philippines, <=50K
+29918,50, Local-gov,234143, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K
+29919,23, Private,380544, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+29920,36, Local-gov,103886, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29921,50, State-gov,54709, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K
+29922,26, Private,276548, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K
+29923,55, Local-gov,176046, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2267,40, United-States, <=50K
+29924,37, Private,114605, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+29925,43, Private,323713, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+29926,38, Self-emp-not-inc,261382, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+29927,42, Private,223548, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, Mexico, <=50K
+29928,47, Self-emp-not-inc,355978, Doctorate,16, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,45, United-States, <=50K
+29929,44, Private,107218, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+29930,28, Self-emp-not-inc,31717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29931,51, Private,328947, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29932,51, Private,148431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29933,49, Private,121602, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+29934,62, Private,244087, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K
+29935,31, Private,83425, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+29936,29, Private,157308, 11th,7, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,2829,0,14, Philippines, <=50K
+29937,23, Private,57898, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K
+29938,40, State-gov,175304, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29939,66, Self-emp-inc,102663, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+29940,17, Private,99175, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+29941,37, Private,208358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+29942,69, Private,361561, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,3, United-States, <=50K
+29943,23, Private,215115, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29944,38, Federal-gov,207066, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+29945,37, Federal-gov,160910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+29946,38, Private,64879, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29947,38, Private,430035, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K
+29948,37, State-gov,74163, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+29949,37, Self-emp-inc,98389, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+29950,23, Private,386019, 9th,5, Never-married, Farming-fishing, Unmarried, White, Male,0,0,70, United-States, <=50K
+29951,17, Private,112795, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+29952,48, Private,332465, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K
+29953,17, Private,38611, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,23, United-States, <=50K
+29954,55, Private,368797, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K
+29955,35, Private,24106, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+29956,68, ?,108683, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,12, United-States, >50K
+29957,35, Self-emp-not-inc,241998, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+29958,53, Private,312446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+29959,43, Private,69333, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+29960,36, Private,172538, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+29961,24, Private,275884, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+29962,45, Private,43479, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K
+29963,34, Private,199864, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2057,40, United-States, <=50K
+29964,56, Private,235197, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+29965,36, Private,170376, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+29966,22, Private,325179, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K
+29967,19, ?,351195, 9th,5, Never-married, ?, Other-relative, White, Male,0,1719,35, El-Salvador, <=50K
+29968,33, Private,141841, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K
+29969,48, Private,207817, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, Columbia, <=50K
+29970,20, Private,137974, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+29971,64, Self-emp-inc,161325, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K
+29972,47, Private,293623, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Dominican-Republic, <=50K
+29973,20, Private,37783, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+29974,44, Federal-gov,308027, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+29975,45, Self-emp-not-inc,149218, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,77, United-States, <=50K
+29976,45, Local-gov,374450, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,5178,0,40, United-States, >50K
+29977,45, Local-gov,61885, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K
+29978,27, State-gov,291196, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+29979,41, Private,45366, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K
+29980,20, Private,203027, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K
+29981,54, Self-emp-inc,223752, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, ?, >50K
+29982,17, Private,132680, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,10, United-States, <=50K
+29983,50, Private,155574, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+29984,31, State-gov,193565, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29985,49, Self-emp-not-inc,123598, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+29986,44, Private,456236, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+29987,49, Private,163229, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+29988,28, Local-gov,419740, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K
+29989,43, Local-gov,118853, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,99, United-States, >50K
+29990,33, Private,31449, Assoc-acdm,12, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+29991,35, Private,204163, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,55, United-States, <=50K
+29992,17, Private,177629, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+29993,25, Private,186370, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+29994,41, Private,188307, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K
+29995,30, Private,55481, Masters,14, Never-married, Tech-support, Unmarried, White, Male,0,0,45, Nicaragua, <=50K
+29996,48, Private,119471, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,56, Philippines, >50K
+29997,61, Local-gov,167347, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+29998,41, Private,184378, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+29999,36, Private,348960, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30000,24, Local-gov,69640, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30001,27, Private,297457, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K
+30002,18, Private,279593, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K
+30003,20, Private,211968, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K
+30004,18, Private,194561, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+30005,23, Private,140414, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30006,43, State-gov,24763, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K
+30007,38, State-gov,462832, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, Trinadad&Tobago, <=50K
+30008,36, Private,48972, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30009,28, Self-emp-not-inc,35032, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30010,47, Private,228583, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K
+30011,51, Private,392668, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,84, United-States, >50K
+30012,35, Private,108140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30013,38, State-gov,112497, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K
+30014,47, Federal-gov,142581, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K
+30015,26, Private,147982, 11th,7, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30016,31, State-gov,440129, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K
+30017,46, Private,200734, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, Trinadad&Tobago, <=50K
+30018,49, Private,31807, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+30019,19, Private,166153, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+30020,45, Self-emp-inc,212954, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+30021,46, Private,52291, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+30022,70, Self-emp-not-inc,303588, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K
+30023,19, Private,96176, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+30024,46, Private,184632, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+30025,20, Private,137618, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K
+30026,17, Private,160029, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,22, United-States, <=50K
+30027,43, Private,178780, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,49, United-States, >50K
+30028,19, Private,39756, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+30029,37, Private,35309, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30030,51, Private,117253, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+30031,40, Local-gov,303212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+30032,24, Private,214542, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,60, Canada, <=50K
+30033,31, Private,342019, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+30034,59, Private,126668, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,50, United-States, >50K
+30035,27, Private,401508, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30036,40, Private,25005, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,99, United-States, >50K
+30037,30, Self-emp-not-inc,85708, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30038,28, Private,115677, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,32, United-States, <=50K
+30039,25, Private,144259, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,50, United-States, <=50K
+30040,22, Private,197583, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K
+30041,21, State-gov,142766, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+30042,67, ?,132626, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K
+30043,35, Self-emp-inc,185621, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K
+30044,54, Local-gov,29887, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,56, United-States, <=50K
+30045,36, Private,117381, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30046,29, Private,211482, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30047,32, Federal-gov,90653, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,1380,40, United-States, <=50K
+30048,55, Private,209535, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30049,56, Federal-gov,187873, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30050,19, Private,174732, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K
+30051,36, Private,297847, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,2001,40, United-States, <=50K
+30052,58, Private,110213, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K
+30053,35, Private,162601, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30054,44, Private,108438, 10th,6, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30055,40, Self-emp-inc,132222, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+30056,18, Private,174394, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+30057,71, Self-emp-not-inc,322789, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K
+30058,51, Federal-gov,72436, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K
+30059,27, ?,60726, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+30060,20, Private,190273, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+30061,33, ?,393376, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30062,34, Private,140571, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30063,28, Private,584790, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+30064,23, Private,197666, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,24, Greece, <=50K
+30065,36, Private,245090, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,50, El-Salvador, <=50K
+30066,42, Private,192569, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, >50K
+30067,31, Local-gov,158291, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,8614,0,40, United-States, >50K
+30068,19, ?,113915, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K
+30069,38, Local-gov,287658, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K
+30070,22, Private,192455, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30071,36, Private,317040, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,54, United-States, <=50K
+30072,36, Private,218689, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K
+30073,17, Private,116626, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,18, United-States, <=50K
+30074,30, Federal-gov,48458, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+30075,35, Self-emp-not-inc,241469, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,30, United-States, <=50K
+30076,32, Private,167990, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,40, United-States, >50K
+30077,42, Private,261929, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K
+30078,54, Private,425804, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+30079,36, Private,33394, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,35, United-States, >50K
+30080,58, Private,72812, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30081,39, Private,89040, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+30082,62, Local-gov,164518, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+30083,51, Private,182740, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+30084,52, Private,361875, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+30085,25, Private,197130, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+30086,26, Private,340335, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30087,26, Private,293984, 10th,6, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+30088,59, State-gov,261584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K
+30089,21, Private,170302, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K
+30090,45, Private,481987, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K
+30091,26, Private,88449, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K
+30092,68, Self-emp-not-inc,261897, 10th,6, Widowed, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K
+30093,60, Private,250552, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+30094,65, Private,88513, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K
+30095,41, Private,168293, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+30096,34, Private,283921, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+30097,28, Private,407043, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+30098,40, Private,63745, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30099,57, Private,49893, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+30100,37, Private,241962, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+30101,34, Private,338416, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,60, United-States, <=50K
+30102,21, ?,212888, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,56, United-States, <=50K
+30103,57, Federal-gov,310320, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K
+30104,55, Private,359972, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+30105,51, Private,64643, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, ?, <=50K
+30106,56, Private,125000, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+30107,32, Private,286675, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+30108,18, Private,165532, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K
+30109,48, Private,349986, Assoc-voc,11, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30110,46, Private,213140, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+30111,41, Federal-gov,219155, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, India, >50K
+30112,33, Private,183612, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K
+30113,33, Private,391114, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+30114,47, Private,219632, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K
+30115,46, Self-emp-inc,320124, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,15024,0,40, United-States, >50K
+30116,40, Private,799281, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K
+30117,42, Private,657397, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+30118,31, State-gov,373432, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K
+30119,51, Private,168660, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30120,44, Private,191149, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,57, United-States, <=50K
+30121,37, Private,356824, HS-grad,9, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+30122,25, Private,191782, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K
+30123,63, Self-emp-not-inc,29859, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,60, United-States, >50K
+30124,52, Private,204226, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+30125,42, Local-gov,246862, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,3325,0,40, United-States, <=50K
+30126,28, Private,496526, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30127,30, Private,426431, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K
+30128,34, Private,84154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+30129,37, Federal-gov,45937, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+30130,31, Private,130021, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+30131,35, Private,63021, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30132,25, Private,367306, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+30133,38, Private,65624, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30134,43, Self-emp-not-inc,144928, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+30135,22, Private,117747, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+30136,18, Private,266681, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+30137,26, Private,152035, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30138,36, Private,190023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+30139,43, Private,233130, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K
+30140,21, Private,149637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+30141,62, Federal-gov,224277, Some-college,10, Widowed, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30142,26, Private,121559, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30143,54, Self-emp-not-inc,230951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30144,18, Private,345285, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+30145,65, Self-emp-not-inc,28367, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+30146,41, Private,320744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,50, United-States, <=50K
+30147,31, Private,243773, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+30148,56, Private,151474, 9th,5, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+30149,50, Private,135465, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+30150,22, Private,210781, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+30151,36, Local-gov,359001, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K
+30152,48, Private,119471, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K
+30153,30, Private,226396, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K
+30154,35, Private,283122, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K
+30155,37, Self-emp-not-inc,326400, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+30156,32, ?,169186, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K
+30157,56, Private,158752, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K
+30158,29, ?,208406, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K
+30159,41, Private,96741, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+30160,38, State-gov,255191, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30161,34, Private,177733, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,35, Dominican-Republic, <=50K
+30162,54, State-gov,137815, 12th,8, Never-married, Other-service, Own-child, White, Male,4101,0,40, United-States, <=50K
+30163,36, ?,187203, Assoc-voc,11, Divorced, ?, Own-child, White, Male,0,0,50, United-States, <=50K
+30164,42, Private,168515, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30165,33, Private,122672, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+30166,21, Private,195199, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K
+30167,69, Local-gov,179813, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K
+30168,32, Private,178623, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Female,0,0,46, Trinadad&Tobago, <=50K
+30169,50, Private,41890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30170,40, Private,373050, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+30171,45, Private,80430, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30172,31, Private,198613, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K
+30173,24, Private,330571, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K
+30174,28, Private,209205, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K
+30175,21, Private,132243, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,5, United-States, <=50K
+30176,43, Self-emp-not-inc,237670, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K
+30177,22, Private,193586, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+30178,62, Self-emp-not-inc,197353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K
+30179,21, Self-emp-not-inc,74538, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,25, United-States, <=50K
+30180,37, Private,89718, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+30181,34, Private,93169, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30182,74, Self-emp-not-inc,292915, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1825,12, United-States, >50K
+30183,43, Private,328570, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,38, United-States, <=50K
+30184,25, Private,312157, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30185,43, Private,193459, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30186,23, Private,236804, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+30187,33, Private,126223, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30188,51, State-gov,172281, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K
+30189,64, Private,153894, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K
+30190,35, Private,331395, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30191,69, Self-emp-not-inc,92472, 10th,6, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3273,0,45, United-States, <=50K
+30192,32, Private,318647, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+30193,20, Private,332931, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K
+30194,66, Self-emp-inc,76212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+30195,31, Private,301168, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Italy, <=50K
+30196,22, Private,440969, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K
+30197,32, Private,154950, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30198,23, Private,218343, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+30199,21, Private,239577, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+30200,36, Private,247936, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,2, Taiwan, <=50K
+30201,62, Local-gov,203525, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K
+30202,24, Private,182342, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30203,45, Private,25649, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K
+30204,27, Private,243569, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942,0,40, United-States, <=50K
+30205,38, Private,187870, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,90, United-States, >50K
+30206,20, ?,289116, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K
+30207,30, Private,487330, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K
+30208,17, ?,34019, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+30209,17, ?,250541, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,8, United-States, <=50K
+30210,21, Self-emp-not-inc,318987, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+30211,56, Self-emp-not-inc,140558, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30212,59, Local-gov,303455, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,4787,0,60, United-States, >50K
+30213,37, Self-emp-not-inc,76855, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+30214,52, Private,308764, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+30215,50, Federal-gov,339905, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30216,55, Private,227856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+30217,55, Private,156430, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+30218,45, ?,98265, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30219,72, Private,116640, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3471,0,20, United-States, <=50K
+30220,39, Private,187167, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30221,28, Private,184078, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30222,38, Private,108140, Bachelors,13, Divorced, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K
+30223,44, Private,150533, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,1876,55, United-States, <=50K
+30224,51, Self-emp-not-inc,313702, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30225,20, Private,39803, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1719,36, United-States, <=50K
+30226,25, Private,252752, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Female,0,0,45, United-States, <=50K
+30227,52, Private,111700, Some-college,10, Divorced, Sales, Other-relative, White, Female,0,0,20, United-States, >50K
+30228,45, Private,361842, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30229,17, Private,231438, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+30230,20, Private,178469, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,15, ?, <=50K
+30231,64, Local-gov,116620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K
+30232,34, Private,112212, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, <=50K
+30233,74, Self-emp-not-inc,109101, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,4, United-States, <=50K
+30234,58, Federal-gov,72998, 11th,7, Divorced, Craft-repair, Not-in-family, Black, Female,14084,0,40, United-States, >50K
+30235,44, Private,147265, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+30236,23, State-gov,314645, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+30237,23, Private,444554, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K
+30238,27, Private,129629, Assoc-voc,11, Never-married, Tech-support, Other-relative, White, Female,0,0,36, United-States, <=50K
+30239,34, Private,106761, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+30240,18, Private,189924, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K
+30241,33, Private,311194, 11th,7, Never-married, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K
+30242,50, Self-emp-not-inc,89737, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+30243,47, Private,49298, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30244,50, Self-emp-inc,190333, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K
+30245,18, Private,251923, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+30246,49, Local-gov,298445, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,60, United-States, >50K
+30247,34, Private,180284, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K
+30248,51, Private,154342, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+30249,56, State-gov,68658, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30250,64, Private,203783, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,8, United-States, <=50K
+30251,23, Private,250037, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,50, United-States, <=50K
+30252,33, Private,158688, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30253,43, Private,214781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+30254,60, Federal-gov,404023, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,40, United-States, >50K
+30255,57, State-gov,109015, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+30256,22, Private,194630, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+30257,23, Private,239375, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+30258,54, Private,35576, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K
+30259,39, Federal-gov,363630, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7688,0,52, United-States, >50K
+30260,32, Self-emp-not-inc,182926, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30261,20, Private,117222, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,15, United-States, <=50K
+30262,30, Private,110643, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K
+30263,56, Self-emp-not-inc,170217, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K
+30264,34, Private,193285, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30265,32, Private,161075, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+30266,59, Private,322691, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+30267,19, Private,229431, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,11, United-States, <=50K
+30268,60, ?,106282, 9th,5, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30269,29, Private,105694, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, <=50K
+30270,24, Private,199883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+30271,41, State-gov,100800, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+30272,23, Private,256278, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female,0,0,30, El-Salvador, <=50K
+30273,32, Private,156464, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,50, United-States, >50K
+30274,51, Self-emp-inc,129525, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, ?, <=50K
+30275,18, Private,285013, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K
+30276,28, Private,248911, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, ?, <=50K
+30277,33, ?,369386, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,5178,0,40, United-States, >50K
+30278,38, Private,219902, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K
+30279,29, Private,375482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, England, <=50K
+30280,25, Private,169124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+30281,31, Private,183000, Prof-school,15, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K
+30282,34, Private,28053, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+30283,34, Private,242984, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K
+30284,66, State-gov,132055, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1825,40, United-States, >50K
+30285,41, Private,212894, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Guatemala, <=50K
+30286,62, Private,223975, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+30287,58, Private,357788, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+30288,40, Private,406811, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K
+30289,24, Private,154422, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+30290,47, Private,140644, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30291,19, Private,355477, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K
+30292,32, Private,151773, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+30293,51, State-gov,341548, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30294,25, Private,512771, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+30295,60, ?,141580, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+30296,22, Private,48988, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30297,29, Private,201022, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K
+30298,20, Private,82777, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+30299,42, Private,152676, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K
+30300,18, Private,115815, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+30301,23, Private,168009, 10th,6, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+30302,28, Private,213152, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, >50K
+30303,55, Private,89690, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+30304,40, Private,126868, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30305,52, Private,95128, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30306,37, Private,185567, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, >50K
+30307,21, Private,301408, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1602,22, United-States, <=50K
+30308,35, Private,216256, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K
+30309,45, Private,182541, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K
+30310,39, Private,172855, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30311,54, Private,68684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+30312,42, Private,364832, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30313,26, ?,264300, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K
+30314,59, Self-emp-inc,349910, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30315,42, Private,276218, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+30316,22, Private,251196, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,20, United-States, <=50K
+30317,33, Private,196898, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30318,39, Private,58343, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+30319,18, Self-emp-inc,101061, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K
+30320,46, Private,415051, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K
+30321,24, Private,174043, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30322,28, Private,129460, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,30, Ecuador, <=50K
+30323,21, State-gov,110946, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,43, United-States, <=50K
+30324,22, Private,313873, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K
+30325,61, Private,81132, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K
+30326,56, Federal-gov,255386, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K
+30327,21, Private,191497, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+30328,17, Private,128617, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K
+30329,29, Private,368949, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, >50K
+30330,28, Local-gov,263600, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+30331,62, Private,257277, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+30332,39, Private,339442, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,2176,0,40, United-States, <=50K
+30333,30, Local-gov,289442, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30334,20, ?,162667, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, El-Salvador, <=50K
+30335,18, Local-gov,466325, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K
+30336,54, Private,142169, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+30337,49, Private,252079, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+30338,33, State-gov,119628, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Hong, <=50K
+30339,50, Private,175804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+30340,57, Private,70720, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,78, United-States, <=50K
+30341,50, State-gov,201513, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+30342,45, Private,257609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30343,41, Private,124692, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,40, United-States, >50K
+30344,23, Private,268525, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+30345,23, Private,250630, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30346,47, Private,180277, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Hungary, <=50K
+30347,39, Self-emp-not-inc,191342, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, South, <=50K
+30348,29, Private,250967, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,48, United-States, >50K
+30349,46, Private,153254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+30350,18, Private,362600, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+30351,68, Private,171933, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30352,62, Private,211408, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+30353,43, Private,48193, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+30354,35, Private,22463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30355,21, Private,440969, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+30356,21, State-gov,164922, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+30357,41, Local-gov,134524, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,0,0,45, United-States, <=50K
+30358,61, Private,176689, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30359,24, Private,220993, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30360,21, Private,512828, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K
+30361,36, State-gov,422275, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K
+30362,37, Local-gov,65291, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30363,69, Private,197080, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,9386,0,60, United-States, >50K
+30364,49, Federal-gov,181657, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+30365,55, Private,190257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,53, United-States, >50K
+30366,21, Private,238068, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30367,18, Private,337046, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+30368,26, Private,187248, HS-grad,9, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30369,20, ?,250037, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,18, ?, <=50K
+30370,46, Private,285750, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064,0,55, United-States, <=50K
+30371,23, Private,260617, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30372,48, Private,216999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30373,36, Private,531055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,48, United-States, >50K
+30374,42, State-gov,121265, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30375,41, Local-gov,184466, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+30376,45, Private,297676, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,40, Cuba, <=50K
+30377,52, Private,114228, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K
+30378,22, Local-gov,121144, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,18, United-States, <=50K
+30379,20, Private,26842, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,2176,0,40, United-States, <=50K
+30380,27, Private,113054, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,43, United-States, <=50K
+30381,36, Private,256636, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30382,34, Private,152246, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,52, United-States, <=50K
+30383,38, Private,108140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+30384,20, ?,203353, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+30385,47, Private,207207, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+30386,21, Private,115420, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+30387,33, Private,80058, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30388,31, Local-gov,48520, Assoc-acdm,12, Never-married, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K
+30389,61, Private,411652, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K
+30390,46, Private,154405, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,45, United-States, <=50K
+30391,55, Local-gov,104917, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+30392,19, State-gov,261422, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+30393,39, Private,48915, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+30394,61, Private,172037, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+30395,28, Private,144833, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30396,28, Private,275116, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30397,61, ?,72886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,38, United-States, >50K
+30398,61, Private,103575, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K
+30399,54, Private,200783, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30400,50, Self-emp-inc,152810, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, Germany, <=50K
+30401,37, Local-gov,44694, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K
+30402,17, ?,48703, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+30403,56, Private,91905, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,4, United-States, <=50K
+30404,31, Private,168906, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K
+30405,32, State-gov,147215, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K
+30406,28, Private,153546, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+30407,34, Private,35595, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+30408,33, Private,225507, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+30409,42, Private,345504, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30410,64, Private,137205, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+30411,29, Private,327779, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K
+30412,41, ?,213416, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,32, Mexico, <=50K
+30413,45, Private,362883, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30414,48, Private,131309, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+30415,44, Private,188331, Some-college,10, Separated, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K
+30416,34, Federal-gov,194740, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30417,40, Private,43711, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K
+30418,45, Private,187033, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K
+30419,23, Private,233923, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+30420,51, Private,84278, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+30421,24, Private,437666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,50, United-States, <=50K
+30422,57, Private,186386, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Male,10520,0,40, United-States, >50K
+30423,23, Private,129767, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1721,40, United-States, <=50K
+30424,34, Private,180284, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K
+30425,36, Private,108320, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4101,0,40, United-States, <=50K
+30426,56, Self-emp-inc,75214, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, >50K
+30427,42, Private,284758, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+30428,45, Self-emp-inc,188330, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+30429,38, Private,333651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,70, United-States, >50K
+30430,29, Local-gov,115305, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,40, United-States, >50K
+30431,54, Private,172962, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,1340,40, United-States, <=50K
+30432,40, Private,198096, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+30433,29, Private,163265, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30434,35, Federal-gov,128608, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+30435,47, Private,107460, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K
+30436,51, Private,251841, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K
+30437,28, Private,403671, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K
+30438,58, Private,159378, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K
+30439,24, Private,170070, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,25, United-States, <=50K
+30440,46, State-gov,192323, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30441,57, Private,135796, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K
+30442,22, Private,232985, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K
+30443,28, Private,34532, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,30, Jamaica, <=50K
+30444,17, ?,371316, 10th,6, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K
+30445,23, Private,236994, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K
+30446,19, Private,208366, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30447,66, State-gov,102640, HS-grad,9, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K
+30448,38, Private,111377, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K
+30449,39, Federal-gov,472166, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30450,39, ?,86551, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+30451,47, Private,70943, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K
+30452,39, Private,294919, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+30453,22, Private,408383, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+30454,36, Private,255454, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,30, United-States, <=50K
+30455,32, Private,193260, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+30456,29, ?,191935, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30457,43, Local-gov,125461, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30458,51, Private,97005, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30459,42, Private,183319, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+30460,32, State-gov,167049, 12th,8, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30461,34, Private,185216, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+30462,51, Private,161838, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,57, United-States, <=50K
+30463,38, Private,165848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K
+30464,21, Private,138816, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K
+30465,33, Self-emp-not-inc,99761, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K
+30466,34, Private,112139, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30467,32, Private,129020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+30468,38, ?,365465, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K
+30469,27, Self-emp-not-inc,259873, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, >50K
+30470,35, Self-emp-inc,89622, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+30471,29, State-gov,201556, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30472,40, Private,176286, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30473,46, Private,192894, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,30, United-States, <=50K
+30474,37, Private,172232, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+30475,38, Self-emp-not-inc,163204, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,25, United-States, <=50K
+30476,37, Private,265737, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,60, Cuba, >50K
+30477,44, Private,215304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+30478,25, Private,185952, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+30479,38, Private,216845, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,42, United-States, <=50K
+30480,34, Local-gov,35683, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,10, United-States, <=50K
+30481,50, Self-emp-not-inc,371305, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K
+30482,46, Private,102359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+30483,20, Private,200089, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, Guatemala, <=50K
+30484,47, State-gov,207120, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K
+30485,46, Private,295334, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+30486,34, Private,234537, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30487,61, Private,142922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30488,55, State-gov,181641, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+30489,36, Private,185325, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K
+30490,28, Private,167336, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,40, United-States, >50K
+30491,22, Private,379778, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30492,34, Private,176117, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K
+30493,33, Private,100228, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30494,27, Private,150296, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K
+30495,43, Federal-gov,25005, Masters,14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,12, United-States, <=50K
+30496,55, Private,134120, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K
+30497,39, Self-emp-not-inc,251710, 10th,6, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,1721,15, United-States, <=50K
+30498,20, Private,653574, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,33, El-Salvador, <=50K
+30499,38, Private,175441, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30500,30, Private,333119, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30501,21, Private,89154, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,42, El-Salvador, <=50K
+30502,60, Private,198727, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K
+30503,43, Private,87284, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30504,36, Private,180686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+30505,23, Private,227070, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,48, El-Salvador, <=50K
+30506,57, Local-gov,189824, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298,0,40, United-States, >50K
+30507,25, Local-gov,348986, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K
+30508,38, Private,96185, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K
+30509,22, Private,112693, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+30510,23, Private,417605, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+30511,61, Self-emp-not-inc,140300, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K
+30512,28, Private,340408, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, <=50K
+30513,17, ?,187539, 11th,7, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K
+30514,21, Private,237051, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+30515,49, Private,175622, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+30516,37, Private,389725, 12th,8, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K
+30517,23, Private,182812, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K
+30518,38, Self-emp-not-inc,245372, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,50, United-States, <=50K
+30519,34, Local-gov,93886, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,46, United-States, >50K
+30520,21, Private,502837, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Peru, <=50K
+30521,27, State-gov,212232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K
+30522,57, Private,300104, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, >50K
+30523,22, Private,156933, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,25, United-States, <=50K
+30524,20, Private,286734, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,35, United-States, <=50K
+30525,49, Self-emp-inc,143482, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K
+30526,38, Private,226357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30527,40, Private,104892, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+30528,44, Private,223194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1485,40, Haiti, <=50K
+30529,37, Self-emp-not-inc,272090, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+30530,57, Private,204816, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+30531,56, Private,230039, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+30532,41, Private,242619, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K
+30533,50, Self-emp-not-inc,131982, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K
+30534,33, Private,87310, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30535,29, Private,134566, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K
+30536,28, Federal-gov,163862, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+30537,35, Private,239409, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K
+30538,36, Private,203717, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+30539,45, Private,172274, Doctorate,16, Divorced, Prof-specialty, Unmarried, Black, Female,0,3004,35, United-States, >50K
+30540,30, Self-emp-not-inc,65278, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+30541,35, Self-emp-inc,135289, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K
+30542,27, Private,246974, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30543,22, Private,180060, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Yugoslavia, <=50K
+30544,24, Private,118023, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+30545,47, Private,102308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+30546,47, Private,45564, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30547,18, Private,137646, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+30548,18, Private,237646, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+30549,31, Local-gov,189843, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,47, United-States, >50K
+30550,43, Self-emp-not-inc,118261, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+30551,45, Private,288437, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,4064,0,40, United-States, <=50K
+30552,39, Private,106347, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30553,30, Private,316471, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30554,22, Private,50058, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30555,30, Self-emp-not-inc,182089, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, United-States, <=50K
+30556,36, Private,186865, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+30557,20, State-gov,158206, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K
+30558,61, ?,229744, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,3942,0,20, Mexico, <=50K
+30559,27, Private,141545, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,45, United-States, <=50K
+30560,59, Local-gov,50929, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+30561,60, Private,132529, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30562,43, Private,260696, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30563,35, Private,231180, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K
+30564,40, Private,223277, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K
+30565,20, Private,279538, 11th,7, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,2961,0,35, United-States, <=50K
+30566,47, Private,46044, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+30567,40, Private,168071, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30568,20, Private,79691, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+30569,75, ?,114204, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K
+30570,25, Private,124111, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+30571,47, Private,104521, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+30572,29, Self-emp-not-inc,128516, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, >50K
+30573,34, Private,112564, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+30574,45, State-gov,32186, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30575,23, Private,239663, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,2597,0,50, United-States, <=50K
+30576,46, Private,269284, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30577,41, State-gov,175537, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,38, United-States, <=50K
+30578,29, Private,444304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+30579,17, Private,27415, 11th,7, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K
+30580,39, Private,174343, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30581,37, Private,148143, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30582,34, Private,209213, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, ?, <=50K
+30583,20, Private,165097, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30584,18, ?,51574, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,1602,38, United-States, <=50K
+30585,52, Private,167651, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30586,42, Local-gov,29075, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+30587,22, Private,396895, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K
+30588,66, State-gov,71075, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+30589,35, Private,129573, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+30590,40, Local-gov,183765, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K
+30591,21, Private,164991, HS-grad,9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K
+30592,51, Local-gov,154891, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,52, United-States, <=50K
+30593,34, Private,200117, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30594,24, Private,176389, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30595,43, Private,342567, Bachelors,13, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30596,34, Private,178841, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+30597,42, Local-gov,191149, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+30598,41, Private,29702, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+30599,21, Private,157893, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K
+30600,64, Local-gov,31993, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,10, United-States, <=50K
+30601,24, Federal-gov,210736, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1974,40, United-States, <=50K
+30602,23, Private,39615, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K
+30603,29, Private,200511, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+30604,44, Self-emp-not-inc,47818, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K
+30605,28, Private,183155, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+30606,33, Self-emp-inc,374905, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+30607,35, Private,128876, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30608,41, Private,202872, 10th,6, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30609,42, Private,153414, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+30610,51, Self-emp-not-inc,24790, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K
+30611,32, Private,316769, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K
+30612,37, Private,126569, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+30613,18, Private,128538, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+30614,24, Private,234640, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+30615,29, ?,65372, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+30616,45, Private,343377, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+30617,52, Federal-gov,30731, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+30618,35, Private,412379, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30619,46, Self-emp-inc,112320, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+30620,63, Private,181929, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K
+30621,32, Local-gov,100135, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K
+30622,24, Private,128061, HS-grad,9, Never-married, Other-service, Own-child, White, Female,594,0,15, United-States, <=50K
+30623,72, ?,402306, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, Canada, <=50K
+30624,35, ?,98389, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,10, United-States, <=50K
+30625,29, Private,179565, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30626,35, Private,64922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K
+30627,70, Private,102610, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K
+30628,65, ?,115513, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,5556,0,48, United-States, >50K
+30629,36, Private,150548, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K
+30630,53, Private,133219, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,4386,0,30, United-States, >50K
+30631,49, Local-gov,67001, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30632,60, Private,162347, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+30633,18, Private,138557, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+30634,21, Private,170456, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, Italy, <=50K
+30635,42, Private,66006, 10th,6, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30636,25, State-gov,176077, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, United-States, <=50K
+30637,32, Private,218322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30638,25, Self-emp-inc,181691, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, <=50K
+30639,47, Private,168232, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K
+30640,30, Private,161690, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30641,21, ?,242736, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+30642,38, Self-emp-not-inc,67317, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+30643,34, Private,265807, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,55, United-States, <=50K
+30644,37, Private,99357, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+30645,56, Private,170070, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+30646,52, State-gov,231166, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+30647,23, Private,62339, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+30648,29, State-gov,118520, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K
+30649,45, Private,155659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30650,23, Local-gov,157331, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30651,45, Private,341762, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+30652,30, Private,164190, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K
+30653,45, Private,83064, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+30654,26, Private,304283, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30655,23, Private,436798, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30656,24, Private,29302, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, ?, <=50K
+30657,43, Private,104660, Masters,14, Widowed, Exec-managerial, Unmarried, White, Male,4934,0,40, United-States, >50K
+30658,42, Private,79036, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+30659,72, Private,165622, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K
+30660,21, ?,177287, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+30661,57, Private,199847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+30662,24, Private,22966, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+30663,27, Private,59068, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30664,54, Private,77336, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30665,42, Local-gov,96524, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+30666,17, Private,143868, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K
+30667,48, Private,121424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+30668,39, Private,176279, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30669,41, Self-emp-inc,177905, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K
+30670,50, Private,205100, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, ?, <=50K
+30671,57, Private,353881, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+30672,44, Local-gov,177937, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K
+30673,20, ?,122244, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K
+30674,49, Private,125892, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30675,44, Private,155472, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, Black, Female,1151,0,50, United-States, <=50K
+30676,42, Private,355728, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K
+30677,18, ?,245274, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K
+30678,18, Private,240330, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K
+30679,51, Private,182944, HS-grad,9, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30680,28, Private,264498, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30681,39, Private,110426, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,45, United-States, >50K
+30682,25, Private,166971, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K
+30683,41, Private,347653, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K
+30684,39, Private,33975, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+30685,42, Self-emp-not-inc,215219, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K
+30686,33, Private,190772, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1617,40, United-States, <=50K
+30687,63, ?,331527, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+30688,47, Private,162494, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, >50K
+30689,27, Local-gov,85918, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,68, United-States, <=50K
+30690,39, Private,91367, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,45, United-States, >50K
+30691,20, Private,182342, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+30692,49, Private,129640, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30693,70, ?,133536, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,28, United-States, <=50K
+30694,46, Private,148738, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1740,35, United-States, <=50K
+30695,47, Private,102583, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+30696,35, Private,111387, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30697,24, Private,241752, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30698,22, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30699,43, Private,101950, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30700,60, Local-gov,212856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+30701,53, Private,183973, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K
+30702,47, Private,142061, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+30703,34, Private,158615, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30704,37, Private,29145, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30705,35, Private,40135, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+30706,23, Private,224640, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30707,27, ?,146651, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+30708,29, Private,167737, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,50, United-States, <=50K
+30709,23, Private,60331, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30710,35, Private,187167, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30711,18, ?,157131, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K
+30712,27, Local-gov,255237, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30713,56, ?,192325, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+30714,40, Private,163342, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K
+30715,31, Private,129775, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K
+30716,18, Private,206008, Some-college,10, Never-married, Sales, Unmarried, White, Male,2176,0,40, United-States, <=50K
+30717,25, Private,397317, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30718,36, Private,745768, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30719,38, Private,141550, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30720,52, Private,35576, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30721,23, Private,376383, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K
+30722,48, Self-emp-not-inc,200825, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K
+30723,34, ?,362787, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K
+30724,46, Private,116789, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+30725,26, Private,160300, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30726,47, Private,362654, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30727,21, ?,107801, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K
+30728,65, Private,170939, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,6723,0,40, United-States, <=50K
+30729,31, Local-gov,224234, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+30730,38, Private,478346, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K
+30731,68, Private,211162, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+30732,26, Private,147638, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K
+30733,42, Private,104647, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30734,49, Private,67365, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30735,42, Private,230959, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,1887,40, Philippines, >50K
+30736,39, Private,176335, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,65, United-States, >50K
+30737,31, Self-emp-not-inc,268482, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30738,28, State-gov,288731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+30739,36, Private,231082, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+30740,42, State-gov,333530, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K
+30741,62, Private,214288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30742,21, Private,118023, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K
+30743,21, Private,187088, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,20, Cuba, <=50K
+30744,60, ?,174073, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+30745,22, Private,133833, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+30746,30, Private,229772, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30747,64, Private,210082, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30748,28, Private,119287, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,28, United-States, >50K
+30749,41, Self-emp-not-inc,111772, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+30750,25, Private,122999, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K
+30751,27, Private,44767, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+30752,40, Private,200574, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, <=50K
+30753,58, Private,236596, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30754,31, Private,33124, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, United-States, <=50K
+30755,50, Local-gov,308764, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K
+30756,27, Private,103524, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K
+30757,31, ?,99483, HS-grad,9, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+30758,50, Private,230951, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30759,45, Private,99355, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+30760,33, Private,857532, 12th,8, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K
+30761,62, Private,81116, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,1974,40, United-States, <=50K
+30762,38, Private,154410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, Poland, <=50K
+30763,19, Private,198943, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K
+30764,30, Private,311696, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K
+30765,38, Private,252897, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+30766,42, Self-emp-not-inc,39539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K
+30767,49, Self-emp-inc,122066, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K
+30768,53, Private,110977, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K
+30769,45, Local-gov,199590, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, Mexico, >50K
+30770,24, Private,202721, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+30771,29, Private,197565, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+30772,24, Private,206827, Some-college,10, Never-married, Sales, Own-child, White, Female,5060,0,30, United-States, <=50K
+30773,38, Federal-gov,190895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K
+30774,25, Self-emp-inc,158751, Assoc-voc,11, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K
+30775,51, State-gov,243631, 10th,6, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+30776,17, ?,219277, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+30777,19, Private,45381, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K
+30778,38, Private,167482, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+30779,60, Private,225014, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30780,29, Self-emp-not-inc,405083, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30781,66, ?,186061, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,4356,40, United-States, <=50K
+30782,28, Federal-gov,24153, 10th,6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K
+30783,36, Private,126569, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Ecuador, >50K
+30784,57, ?,137658, HS-grad,9, Married-civ-spouse, ?, Husband, Other, Male,0,0,5, Columbia, <=50K
+30785,24, Private,315476, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+30786,43, Private,248186, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+30787,29, Self-emp-inc,206903, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K
+30788,67, Self-emp-not-inc,191380, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,25, United-States, >50K
+30789,20, Private,191910, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+30790,21, Private,145119, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K
+30791,20, Private,130840, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+30792,42, Private,33126, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+30793,20, Private,334105, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K
+30794,19, Local-gov,354104, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+30795,34, Private,111985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+30796,40, Local-gov,321187, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+30797,33, Private,138142, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K
+30798,36, Private,296999, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,37, United-States, <=50K
+30799,43, Private,155106, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,2444,70, United-States, >50K
+30800,41, Local-gov,174491, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30801,34, State-gov,173266, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+30802,33, Private,25610, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Other, Male,0,0,40, Japan, >50K
+30803,47, Private,187563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30804,41, Private,196344, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Mexico, <=50K
+30805,40, Private,205047, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K
+30806,28, Private,715938, Bachelors,13, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K
+30807,62, Self-emp-not-inc,224520, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K
+30808,29, Private,229656, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+30809,46, Private,97883, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30810,28, Private,131298, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K
+30811,57, Federal-gov,197875, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30812,22, Private,172766, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+30813,28, Local-gov,175796, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30814,24, Private,51973, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+30815,54, Self-emp-not-inc,28186, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,27828,0,50, United-States, >50K
+30816,22, Private,291979, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30817,36, State-gov,180752, Bachelors,13, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30818,50, Private,234657, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30819,18, Private,39411, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K
+30820,52, State-gov,334273, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+30821,41, Private,192779, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K
+30822,21, ?,105312, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K
+30823,36, Private,171676, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1741,40, United-States, <=50K
+30824,34, Self-emp-not-inc,182714, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, >50K
+30825,21, Private,231866, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+30826,46, Private,102102, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30827,57, ?,50248, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+30828,61, Local-gov,195519, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K
+30829,22, State-gov,34310, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K
+30830,33, ?,314913, 11th,7, Divorced, ?, Own-child, White, Male,0,0,53, United-States, <=50K
+30831,36, State-gov,747719, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K
+30832,43, Local-gov,188280, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,914,0,40, United-States, <=50K
+30833,25, Private,110978, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,37, India, >50K
+30834,17, Private,79682, 10th,6, Never-married, Priv-house-serv, Other-relative, White, Male,0,0,30, United-States, <=50K
+30835,45, Private,294671, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,38, United-States, >50K
+30836,30, Private,340899, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1590,80, United-States, <=50K
+30837,40, Private,192259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K
+30838,31, Local-gov,190228, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+30839,42, Private,118947, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30840,53, Private,55861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30841,37, Private,238433, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K
+30842,37, State-gov,166744, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K
+30843,54, Private,144586, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+30844,36, Private,134367, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+30845,46, Private,133616, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30846,46, Private,203039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+30847,32, Private,217460, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+30848,17, Private,106733, 11th,7, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K
+30849,42, State-gov,212027, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30850,37, Local-gov,126569, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30851,29, Private,289960, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+30852,54, Private,174102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30853,38, Private,181716, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+30854,46, Local-gov,172822, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+30855,24, Private,293091, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+30856,57, Private,107443, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K
+30857,59, Private,95283, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30858,33, Private,65278, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+30859,35, Private,220943, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,1594,40, United-States, <=50K
+30860,53, Private,257940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K
+30861,26, Private,134945, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K
+30862,55, Self-emp-not-inc,105582, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,2228,0,50, United-States, <=50K
+30863,46, Private,169324, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,45, Jamaica, <=50K
+30864,44, State-gov,98989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,38, United-States, >50K
+30865,30, Self-emp-not-inc,113838, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3137,0,60, Germany, <=50K
+30866,24, Private,143436, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K
+30867,32, Private,143604, 10th,6, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+30868,35, Private,226311, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30869,67, Private,94610, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K
+30870,56, Self-emp-not-inc,26716, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K
+30871,26, Private,160261, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K
+30872,46, Private,117310, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Female,6497,0,40, United-States, <=50K
+30873,52, Private,154342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+30874,38, Self-emp-not-inc,89202, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30875,31, Private,174704, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K
+30876,53, Private,153486, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K
+30877,27, Private,360097, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+30878,39, Private,230356, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30879,22, Private,163870, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+30880,37, Private,199753, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K
+30881,20, Private,333505, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, Nicaragua, <=50K
+30882,60, Local-gov,149281, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+30883,51, Private,138514, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,0,48, United-States, <=50K
+30884,57, Federal-gov,66504, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+30885,59, Private,206487, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30886,37, Private,170020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30887,35, Private,217605, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K
+30888,43, Private,145711, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K
+30889,17, Private,169155, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+30890,45, Private,34127, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+30891,18, Private,110142, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+30892,52, Private,222646, 12th,8, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, Cuba, <=50K
+30893,18, Private,182643, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,9, United-States, <=50K
+30894,20, Private,303565, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, Germany, <=50K
+30895,34, Private,140092, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30896,19, Private,178811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,20, United-States, <=50K
+30897,18, ?,267399, 12th,8, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K
+30898,17, Local-gov,192387, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K
+30899,30, Federal-gov,127610, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30900,29, Private,258862, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K
+30901,30, Private,225231, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K
+30902,18, Private,174926, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,15, ?, <=50K
+30903,50, State-gov,238187, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K
+30904,22, Private,191444, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K
+30905,21, Private,198822, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K
+30906,39, Self-emp-not-inc,251323, 9th,5, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, Cuba, <=50K
+30907,20, Private,168187, Some-college,10, Never-married, Other-service, Other-relative, White, Female,4416,0,25, United-States, <=50K
+30908,62, Private,370881, Assoc-acdm,12, Widowed, Other-service, Not-in-family, White, Female,0,0,7, United-States, <=50K
+30909,32, Private,198183, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+30910,38, Private,210610, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+30911,32, Private,269182, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,3887,0,40, United-States, <=50K
+30912,55, Private,141727, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,3464,0,40, United-States, <=50K
+30913,38, Private,185848, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K
+30914,34, Private,46746, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+30915,28, Private,120475, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+30916,26, Private,135845, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K
+30917,41, Private,310255, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30918,61, State-gov,379885, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K
+30919,75, Self-emp-not-inc,31428, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456,0,40, United-States, <=50K
+30920,21, Private,211013, Assoc-voc,11, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,50, Mexico, <=50K
+30921,50, Private,175029, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+30922,49, Self-emp-inc,119539, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, ?, >50K
+30923,26, Private,247025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K
+30924,39, Private,252327, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K
+30925,24, Self-emp-not-inc,375313, Some-college,10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+30926,56, Private,107165, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,18, United-States, <=50K
+30927,17, Private,108470, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,17, United-States, <=50K
+30928,37, Private,150057, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+30929,23, Private,189468, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K
+30930,28, ?,198393, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+30931,57, Self-emp-not-inc,181031, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+30932,42, Local-gov,569930, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K
+30933,25, Private,27411, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30934,22, Private,147397, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K
+30935,39, Private,242922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+30936,54, Private,154949, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K
+30937,41, Self-emp-inc,423217, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30938,43, Federal-gov,195385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+30939,19, Private,100009, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30940,35, Private,191628, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+30941,34, Private,340880, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Philippines, >50K
+30942,19, Private,207173, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K
+30943,33, Private,48010, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+30944,33, Private,229051, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K
+30945,49, Private,193366, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+30946,31, Private,57781, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K
+30947,69, ?,121136, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K
+30948,41, Private,433989, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,4386,0,60, United-States, >50K
+30949,24, Private,136687, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Other, Female,0,0,40, United-States, <=50K
+30950,45, State-gov,154117, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, >50K
+30951,63, Private,294009, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+30952,75, Private,239038, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K
+30953,34, Private,244064, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K
+30954,69, Private,128348, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,9386,0,50, United-States, >50K
+30955,33, Private,66278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+30956,44, Private,162643, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K
+30957,45, Private,179659, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+30958,18, Private,205218, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+30959,48, Private,154033, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K
+30960,43, Private,158528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+30961,26, Private,366219, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1848,60, United-States, >50K
+30962,35, Private,301862, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+30963,34, Private,228406, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30964,48, Private,120131, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, >50K
+30965,54, Local-gov,127943, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+30966,57, Private,301514, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+30967,21, Private,156980, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K
+30968,28, Private,124685, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K
+30969,51, Private,305673, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K
+30970,34, Local-gov,31391, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, >50K
+30971,41, Local-gov,33658, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K
+30972,21, Private,211391, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K
+30973,26, Private,402998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, >50K
+30974,66, Private,78855, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+30975,40, Private,320451, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,45, Hong, >50K
+30976,48, Private,49278, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+30977,44, ?,248876, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K
+30978,41, Private,242586, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+30979,41, Private,359696, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,60, United-States, >50K
+30980,55, Local-gov,296085, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+30981,43, Private,233130, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K
+30982,51, Private,189511, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Germany, >50K
+30983,31, Private,124420, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+30984,30, Self-emp-not-inc,67072, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,6849,0,60, United-States, <=50K
+30985,51, Private,194908, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+30986,31, Local-gov,94991, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+30987,18, Private,194561, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K
+30988,60, Private,75726, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1092,40, United-States, <=50K
+30989,29, Private,60722, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+30990,33, Private,59944, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+30991,34, Private,220840, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K
+30992,40, Self-emp-inc,104235, Masters,14, Never-married, Other-service, Own-child, White, Male,0,0,99, United-States, <=50K
+30993,57, Private,142714, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K
+30994,55, Local-gov,110490, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, <=50K
+30995,40, Self-emp-not-inc,154076, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+30996,26, State-gov,130557, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K
+30997,29, Private,107108, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+30998,30, Private,207172, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K
+30999,29, Private,304595, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+31000,43, Private,475322, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+31001,65, Private,107620, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K
+31002,19, Private,301911, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, Laos, <=50K
+31003,35, Private,267866, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1887,50, Iran, >50K
+31004,28, Private,269786, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+31005,34, Private,167474, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+31006,61, Private,115023, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,60, United-States, >50K
+31007,63, Local-gov,86590, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, <=50K
+31008,47, State-gov,187087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31009,31, Private,184307, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31010,18, Private,225859, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,2907,0,30, United-States, <=50K
+31011,29, Private,57889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+31012,59, Private,157932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31013,50, Private,187830, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,62, United-States, >50K
+31014,49, Private,251180, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,2407,0,50, United-States, <=50K
+31015,60, Private,317083, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+31016,35, Self-emp-not-inc,190895, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31017,48, Federal-gov,328606, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31018,21, ?,403860, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+31019,41, Private,215479, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+31020,56, Private,157639, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+31021,26, Private,152129, 12th,8, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K
+31022,53, Private,239284, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31023,23, Private,234302, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+31024,58, Private,218724, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+31025,61, Private,106330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31026,29, Private,35032, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K
+31027,22, Private,234641, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+31028,43, Private,170730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+31029,31, Private,218322, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+31030,90, Private,47929, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31031,53, Private,142411, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K
+31032,22, ?,219122, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+31033,55, Private,132887, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,3411,0,40, Jamaica, <=50K
+31034,34, State-gov,44464, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K
+31035,28, Private,180928, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,55, United-States, <=50K
+31036,22, ?,199426, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31037,36, Private,139703, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+31038,33, Private,202642, Bachelors,13, Separated, Prof-specialty, Other-relative, Black, Female,0,0,40, Jamaica, <=50K
+31039,17, Private,160049, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K
+31040,38, Private,239755, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31041,60, Private,152369, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+31042,34, Private,42900, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31043,72, ?,117017, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K
+31044,57, Private,175017, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Italy, <=50K
+31045,39, Private,342642, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+31046,50, Self-emp-not-inc,143730, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K
+31047,45, Private,191098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+31048,37, Private,208106, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+31049,27, Private,167737, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K
+31050,43, Private,315971, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+31051,41, Private,142717, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,36, United-States, <=50K
+31052,20, Private,190227, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K
+31053,44, Private,79864, Masters,14, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K
+31054,50, Private,34067, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31055,54, Private,222882, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K
+31056,31, Private,44464, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1564,60, United-States, >50K
+31057,33, Private,256062, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K
+31058,22, Private,251073, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K
+31059,46, Private,149949, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31060,30, Private,165235, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K
+31061,22, ?,243190, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+31062,59, ?,160662, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2407,0,60, United-States, <=50K
+31063,57, Self-emp-not-inc,175942, Some-college,10, Widowed, Exec-managerial, Other-relative, White, Male,0,0,25, United-States, <=50K
+31064,26, Private,212793, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31065,52, Local-gov,153312, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+31066,55, Local-gov,173296, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K
+31067,47, Private,120131, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31068,19, Private,117444, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+31069,26, Private,226196, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+31070,44, Private,202872, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+31071,42, Private,176716, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K
+31072,39, Private,82540, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K
+31073,17, ?,41643, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+31074,26, Private,197292, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K
+31075,26, Private,76491, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+31076,50, Self-emp-inc,101094, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K
+31077,46, Self-emp-not-inc,119944, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31078,18, Private,141626, Some-college,10, Never-married, Tech-support, Own-child, White, Male,2176,0,20, United-States, <=50K
+31079,26, Private,122575, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,60, Vietnam, <=50K
+31080,32, Private,194740, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+31081,50, Private,263200, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,34, Mexico, <=50K
+31082,47, Local-gov,140644, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+31083,52, Private,202115, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K
+31084,25, Federal-gov,27142, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31085,42, Local-gov,318046, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+31086,53, Private,276369, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+31087,30, Private,67187, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female,0,0,8, United-States, <=50K
+31088,23, Private,133582, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K
+31089,23, Private,216672, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, ?, <=50K
+31090,32, Private,45796, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K
+31091,29, Self-emp-inc,31778, HS-grad,9, Separated, Prof-specialty, Other-relative, White, Male,0,0,25, United-States, <=50K
+31092,40, Private,190044, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+31093,45, State-gov,144351, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31094,17, ?,172145, 10th,6, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K
+31095,55, Private,193130, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31096,59, Local-gov,140478, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31097,56, Private,122390, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K
+31098,23, Private,116830, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31099,37, Local-gov,117683, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+31100,25, Private,106491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+31101,22, ?,39803, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+31102,27, Private,363053, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,24, Mexico, <=50K
+31103,21, Private,54472, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+31104,47, Local-gov,200471, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K
+31105,38, Private,54317, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K
+31106,62, Local-gov,113443, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,10520,0,33, United-States, >50K
+31107,27, Private,159623, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31108,25, ?,161235, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,90, United-States, <=50K
+31109,27, Private,247978, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K
+31110,40, Private,305846, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+31111,22, Self-emp-not-inc,214014, Some-college,10, Never-married, Sales, Own-child, Black, Male,99999,0,55, United-States, >50K
+31112,33, Private,226525, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+31113,28, Private,247819, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, <=50K
+31114,28, Private,194940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31115,29, Private,289991, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K
+31116,46, Private,585361, 9th,5, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+31117,30, Private,91145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31118,65, ?,231604, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, Germany, <=50K
+31119,28, Private,273269, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+31120,39, Private,202683, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+31121,35, Private,159179, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31122,50, Private,28952, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,39, United-States, <=50K
+31123,25, ?,214925, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+31124,63, Private,163708, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+31125,56, Private,200235, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+31126,46, Private,109209, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+31127,19, Private,166153, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K
+31128,56, Local-gov,268213, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, ?, >50K
+31129,31, Private,69056, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+31130,51, State-gov,237141, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31131,17, Private,277541, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,5, United-States, <=50K
+31132,27, Local-gov,289039, Some-college,10, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+31133,30, Private,134737, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,45, United-States, <=50K
+31134,18, Private,56613, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,20, United-States, <=50K
+31135,41, Private,36699, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,40, United-States, <=50K
+31136,40, Local-gov,333530, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K
+31137,35, Private,185366, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31138,29, Private,154017, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,10, United-States, <=50K
+31139,27, Private,215504, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,55, United-States, >50K
+31140,25, Private,222539, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,2597,0,50, United-States, <=50K
+31141,53, Private,191565, 1st-4th,2, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Dominican-Republic, <=50K
+31142,53, Private,111939, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+31143,26, State-gov,53903, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+31144,41, Private,146659, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K
+31145,28, Private,194200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+31146,48, State-gov,78529, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K
+31147,22, Private,194829, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K
+31148,40, Federal-gov,330174, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+31149,52, Self-emp-inc,230767, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, Cuba, >50K
+31150,53, Local-gov,137250, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,1669,35, United-States, <=50K
+31151,40, Private,254478, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K
+31152,57, Private,300908, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,75, United-States, <=50K
+31153,53, Self-emp-not-inc,187830, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K
+31154,23, Private,201138, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K
+31155,31, Self-emp-not-inc,44503, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31156,20, Private,381357, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K
+31157,25, Private,311124, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+31158,37, Private,96330, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31159,50, Private,228238, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+31160,34, Self-emp-not-inc,56964, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+31161,37, Private,127772, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31162,52, Private,386397, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+31163,29, Self-emp-not-inc,404998, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,90, United-States, <=50K
+31164,49, Private,34545, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+31165,31, Private,157886, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K
+31166,47, Private,101299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31167,51, Self-emp-not-inc,134447, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K
+31168,27, Private,191822, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+31169,23, Private,70919, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31170,55, Private,266343, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, <=50K
+31171,28, Private,87239, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31172,31, Local-gov,236487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K
+31173,30, Private,224147, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K
+31174,23, Private,197200, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K
+31175,19, Private,124265, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+31176,22, Private,79980, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K
+31177,50, Private,128814, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K
+31178,64, ?,208862, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K
+31179,21, Private,51262, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K
+31180,75, Self-emp-inc,98116, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K
+31181,29, Private,82393, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Germany, <=50K
+31182,47, Private,57534, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+31183,20, Private,218962, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31184,33, Private,204752, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+31185,45, Private,243631, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K
+31186,41, Private,170299, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K
+31187,23, Private,60331, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+31188,38, Private,269318, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,50, United-States, >50K
+31189,67, State-gov,132819, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,41, United-States, >50K
+31190,21, Private,119665, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K
+31191,38, Private,150057, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K
+31192,31, Private,128567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31193,19, ?,230874, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+31194,59, Self-emp-not-inc,148526, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31195,36, Private,160192, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31196,50, Local-gov,74660, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K
+31197,60, Self-emp-inc,142494, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31198,30, Private,122042, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+31199,28, Self-emp-inc,37088, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31200,36, Private,61778, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+31201,21, ?,176356, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, Germany, <=50K
+31202,27, Private,123302, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Poland, <=50K
+31203,18, Private,89760, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+31204,44, Local-gov,165304, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K
+31205,56, Private,104945, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K
+31206,51, Self-emp-inc,192973, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K
+31207,48, Private,97863, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Italy, >50K
+31208,31, Private,73585, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+31209,35, Private,29145, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31210,35, Private,175232, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+31211,36, Private,325374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31212,47, Self-emp-not-inc,107231, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,65, United-States, <=50K
+31213,23, Private,129345, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K
+31214,21, Private,228395, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,20, United-States, <=50K
+31215,49, Private,452402, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K
+31216,51, Self-emp-inc,338260, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+31217,46, Private,165138, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31218,31, Private,109055, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3137,0,45, United-States, <=50K
+31219,27, Private,193122, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31220,56, ?,425497, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+31221,48, Private,191858, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31222,30, Private,297155, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31223,29, Local-gov,181282, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31224,50, Federal-gov,111700, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+31225,18, Private,35065, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+31226,37, Private,298539, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K
+31227,51, Self-emp-not-inc,95435, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+31228,31, Private,162160, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K
+31229,29, Private,176037, Assoc-voc,11, Divorced, Tech-support, Not-in-family, Black, Male,14344,0,40, United-States, >50K
+31230,39, Private,314007, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K
+31231,48, Private,197683, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K
+31232,44, Private,242521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K
+31233,39, Private,290321, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31234,22, Local-gov,44064, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+31235,27, ?,174163, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K
+31236,42, Private,374790, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31237,18, Private,231562, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,33, United-States, <=50K
+31238,27, Private,376150, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+31239,51, Private,99987, 10th,6, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31240,27, Self-emp-not-inc,120126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+31241,60, Self-emp-not-inc,33717, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+31242,36, Private,132879, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K
+31243,45, Private,304570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K
+31244,40, Private,100292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K
+31245,63, Private,117473, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K
+31246,41, Private,239833, HS-grad,9, Married-spouse-absent, Transport-moving, Unmarried, Black, Male,0,0,50, United-States, <=50K
+31247,53, ?,155233, 12th,8, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Italy, <=50K
+31248,34, Private,130369, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,1151,0,48, Germany, <=50K
+31249,34, Private,347166, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+31250,31, Private,502752, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K
+31251,22, State-gov,255575, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K
+31252,49, Private,277946, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31253,43, ?,214541, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K
+31254,36, Private,143123, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+31255,27, Private,69132, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K
+31256,52, Self-emp-not-inc,34973, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1887,60, United-States, >50K
+31257,29, Private,236992, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K
+31258,27, Private,492263, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,35, Mexico, <=50K
+31259,42, Private,180019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K
+31260,49, Self-emp-not-inc,47086, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+31261,24, Private,222853, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K
+31262,22, Private,344176, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,20, United-States, <=50K
+31263,30, Self-emp-not-inc,223212, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K
+31264,28, Private,110981, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31265,20, Private,162688, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+31266,45, Self-emp-inc,181307, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,43, United-States, >50K
+31267,39, Private,148903, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,4687,0,50, United-States, >50K
+31268,43, Private,306440, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, France, <=50K
+31269,18, Private,210311, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+31270,53, Private,127117, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31271,74, Private,54732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K
+31272,39, Private,271521, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,48, Philippines, >50K
+31273,33, ?,216908, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K
+31274,49, Private,543922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K
+31275,21, Private,766115, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K
+31276,65, ?,52728, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+31277,39, Private,284166, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1564,50, United-States, >50K
+31278,49, Private,122206, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K
+31279,20, ?,95989, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+31280,47, Private,334039, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,44, United-States, >50K
+31281,46, Self-emp-not-inc,225456, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+31282,29, Private,112847, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,7298,0,32, United-States, >50K
+31283,61, Self-emp-not-inc,171840, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K
+31284,48, Private,180695, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+31285,44, Private,121012, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31286,37, Self-emp-inc,126569, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+31287,45, Private,227791, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K
+31288,51, Self-emp-not-inc,290290, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+31289,33, Local-gov,251521, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+31290,55, Self-emp-not-inc,41938, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K
+31291,25, Private,27678, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K
+31292,26, Private,133756, HS-grad,9, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+31293,54, Private,215990, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31294,38, Private,461337, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K
+31295,39, Local-gov,344855, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K
+31296,20, State-gov,214542, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+31297,30, Private,258170, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31298,29, Federal-gov,242147, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Other, Male,0,0,45, United-States, <=50K
+31299,42, Private,235700, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31300,24, Private,278130, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31301,36, Private,261241, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+31302,60, Private,85995, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, South, >50K
+31303,42, Private,340885, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,44, United-States, <=50K
+31304,42, Private,152889, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+31305,46, Private,195023, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K
+31306,52, State-gov,109600, Masters,14, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,4787,0,44, United-States, >50K
+31307,27, ?,249463, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+31308,43, Private,158177, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+31309,43, State-gov,47818, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31310,27, Private,391468, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+31311,52, Local-gov,199995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K
+31312,31, Private,231043, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+31313,38, ?,281768, 7th-8th,4, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K
+31314,44, Private,267790, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31315,27, Private,217379, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+31316,50, Private,421561, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31317,23, Private,50953, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31318,22, Private,138504, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K
+31319,36, State-gov,177064, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+31320,24, Private,103064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,3674,0,40, United-States, <=50K
+31321,59, Private,184493, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31322,39, Private,104089, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+31323,23, Private,149204, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+31324,37, Private,405284, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,42, United-States, <=50K
+31325,25, Local-gov,137296, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K
+31326,40, Private,87771, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,1628,45, United-States, <=50K
+31327,38, State-gov,125499, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,60, India, >50K
+31328,31, Private,59083, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K
+31329,28, Local-gov,138332, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31330,24, Private,198914, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,25, United-States, <=50K
+31331,46, Local-gov,238162, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,50, United-States, >50K
+31332,29, Private,123677, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K
+31333,38, Federal-gov,325538, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+31334,53, Private,251063, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31335,33, Private,51471, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,40, United-States, >50K
+31336,39, Private,175681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, ?, <=50K
+31337,44, Private,165599, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+31338,46, Private,149640, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, England, >50K
+31339,30, Private,143526, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+31340,24, Private,211160, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31341,29, Private,342989, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+31342,62, Self-emp-not-inc,173631, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K
+31343,25, Private,141876, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K
+31344,45, Private,137604, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31345,21, Private,129232, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+31346,64, Federal-gov,271550, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+31347,39, Private,456922, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31348,60, Private,232242, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31349,35, Private,352188, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31350,27, Private,114967, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31351,41, Private,201981, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+31352,32, State-gov,159247, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+31353,24, Private,125905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31354,32, Private,186824, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+31355,42, Local-gov,121012, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+31356,58, Private,110844, Masters,14, Widowed, Sales, Not-in-family, White, Female,0,0,27, United-States, <=50K
+31357,23, Private,143003, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1887,50, India, >50K
+31358,31, Federal-gov,59732, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+31359,28, Private,178489, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, ?, <=50K
+31360,41, ?,252127, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K
+31361,37, Private,109633, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, >50K
+31362,19, Private,160811, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,38, United-States, <=50K
+31363,27, Self-emp-not-inc,365110, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K
+31364,61, Self-emp-not-inc,113080, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,58, United-States, >50K
+31365,39, Private,206074, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+31366,25, Private,173062, Bachelors,13, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K
+31367,58, Private,117273, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31368,27, Self-emp-not-inc,153805, Some-college,10, Married-civ-spouse, Transport-moving, Other-relative, Other, Male,0,0,50, Ecuador, >50K
+31369,51, Private,293802, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,52, United-States, <=50K
+31370,43, Local-gov,153132, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+31371,46, Private,166809, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31372,67, ?,34122, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+31373,50, Local-gov,231725, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+31374,20, Private,63210, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K
+31375,35, Private,108293, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, >50K
+31376,57, Private,116878, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K
+31377,40, Private,110622, Prof-school,15, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+31378,42, Local-gov,180318, 10th,6, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K
+31379,67, Self-emp-inc,112318, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31380,47, Private,252079, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,44, United-States, >50K
+31381,30, Private,27153, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31382,26, Private,73312, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,15, United-States, <=50K
+31383,51, Private,145409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31384,38, Private,167882, Some-college,10, Widowed, Other-service, Other-relative, Black, Female,0,0,45, Haiti, <=50K
+31385,24, Private,236696, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K
+31386,48, Self-emp-not-inc,28791, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+31387,34, State-gov,118551, Bachelors,13, Married-civ-spouse, Tech-support, Own-child, White, Female,5178,0,25, ?, >50K
+31388,70, Private,187292, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418,0,40, United-States, >50K
+31389,35, Private,189922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31390,61, ?,584259, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K
+31391,26, Private,173992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+31392,64, Private,253759, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,3, United-States, <=50K
+31393,26, Private,111243, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+31394,39, Self-emp-not-inc,147850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K
+31395,55, Private,171015, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K
+31396,23, Private,118023, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, ?, <=50K
+31397,33, Self-emp-not-inc,361497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31398,31, Private,137290, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+31399,28, Local-gov,401886, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K
+31400,50, Private,201882, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K
+31401,26, Local-gov,30793, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, >50K
+31402,44, Federal-gov,139161, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,1741,40, United-States, <=50K
+31403,51, Private,210736, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31404,34, Private,167781, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K
+31405,37, Private,103986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,39, United-States, >50K
+31406,29, Private,144592, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+31407,24, Private,493034, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+31408,27, Private,184078, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31409,44, Private,191814, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+31410,24, Private,329852, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31411,54, Private,223660, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+31412,47, Private,177087, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, >50K
+31413,30, Private,143766, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+31414,35, Private,234271, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31415,39, Federal-gov,314822, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+31416,42, Private,195584, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31417,70, Self-emp-inc,207938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,50, United-States, >50K
+31418,41, Private,126850, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+31419,36, Private,279485, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K
+31420,44, Private,267717, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K
+31421,42, ?,175935, HS-grad,9, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K
+31422,20, Private,163665, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,17, United-States, <=50K
+31423,29, Private,200468, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31424,27, Private,91501, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K
+31425,30, Private,182771, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+31426,59, Self-emp-not-inc,56392, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1579,60, United-States, <=50K
+31427,31, Private,20511, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+31428,21, Private,538822, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K
+31429,26, Private,332008, Some-college,10, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,37, Taiwan, <=50K
+31430,57, Self-emp-inc,220789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+31431,59, Self-emp-not-inc,114760, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, >50K
+31432,87, ?,90338, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K
+31433,25, Private,181576, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+31434,39, Private,198841, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K
+31435,53, Private,53197, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K
+31436,32, State-gov,542265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31437,38, Private,193026, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31438,21, Private,25505, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K
+31439,17, Private,375657, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K
+31440,44, Private,201599, 11th,7, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31441,23, Private,181820, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K
+31442,57, Private,334224, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,9386,0,40, United-States, >50K
+31443,30, State-gov,54318, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+31444,51, Self-emp-not-inc,141388, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K
+31445,54, Self-emp-not-inc,57101, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K
+31446,44, Private,168515, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K
+31447,60, Private,163665, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, >50K
+31448,28, Private,207513, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,42, United-States, >50K
+31449,39, Private,293291, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K
+31450,55, Private,70088, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31451,36, Private,199346, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+31452,55, Local-gov,143949, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,45, United-States, >50K
+31453,33, Private,207201, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, >50K
+31454,30, Private,430283, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,40, United-States, >50K
+31455,40, Local-gov,293809, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+31456,30, Private,378009, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31457,40, Private,226608, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,30, Guatemala, >50K
+31458,24, Private,314182, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,50, United-States, <=50K
+31459,18, Private,170544, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K
+31460,18, Private,94196, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K
+31461,49, Private,193047, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+31462,42, Private,112607, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+31463,28, Local-gov,146949, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+31464,32, Private,309513, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31465,48, Self-emp-not-inc,191389, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K
+31466,24, Private,213902, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,32, El-Salvador, <=50K
+31467,73, Self-emp-not-inc,46514, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K
+31468,35, Private,75855, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7298,0,40, ?, >50K
+31469,23, Private,38707, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K
+31470,19, Private,188568, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31471,27, Private,215014, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, Mexico, <=50K
+31472,27, Private,184477, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31473,41, Self-emp-not-inc,204235, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+31474,31, Private,39054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K
+31475,64, Self-emp-inc,272531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+31476,45, Private,358701, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,10, Mexico, <=50K
+31477,47, Private,217750, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K
+31478,22, Private,200374, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, United-States, <=50K
+31479,24, Private,498349, Bachelors,13, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31480,69, State-gov,170458, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K
+31481,40, Self-emp-not-inc,57233, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31482,45, Private,188432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31483,47, Self-emp-not-inc,33300, Assoc-acdm,12, Never-married, Farming-fishing, Other-relative, White, Male,10520,0,45, United-States, >50K
+31484,31, Private,225779, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31485,48, Private,46677, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K
+31486,41, Private,227968, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, Haiti, >50K
+31487,34, Private,85355, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+31488,48, Private,207120, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+31489,28, Local-gov,229223, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,36, United-States, >50K
+31490,20, Private,224640, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K
+31491,39, Private,139012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+31492,40, Federal-gov,130749, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+31493,28, Private,204516, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K
+31494,20, Private,105479, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+31495,41, Private,197093, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+31496,49, Self-emp-inc,431245, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+31497,24, Private,155150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31498,35, State-gov,216035, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+31499,22, Private,388247, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+31500,23, Private,208908, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+31501,23, Private,259301, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+31502,42, Self-emp-not-inc,69333, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,4386,0,80, United-States, >50K
+31503,34, Private,167893, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,64, United-States, >50K
+31504,32, Federal-gov,386877, Assoc-voc,11, Never-married, Tech-support, Own-child, Black, Male,4650,0,40, United-States, <=50K
+31505,54, Private,146551, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,54, United-States, >50K
+31506,48, Private,238360, Bachelors,13, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+31507,38, Private,187748, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31508,48, State-gov,50748, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31509,22, Private,50136, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K
+31510,42, Private,111483, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K
+31511,31, Private,298871, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K
+31512,27, Private,147340, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K
+31513,57, Private,132704, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,32, United-States, >50K
+31514,46, State-gov,327786, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,3325,0,42, United-States, <=50K
+31515,44, Federal-gov,243636, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+31516,42, Local-gov,194417, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+31517,24, Private,236696, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31518,38, Private,337130, 1st-4th,2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+31519,29, Private,273051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, Yugoslavia, >50K
+31520,38, Private,186191, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K
+31521,33, Private,268451, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+31522,61, Private,154600, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,4, United-States, <=50K
+31523,49, Local-gov,405309, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+31524,51, Self-emp-not-inc,99185, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31525,42, Private,191765, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K
+31526,21, Private,253583, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+31527,29, ?,297054, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31528,54, Private,204397, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+31529,23, Private,288771, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K
+31530,52, Private,173987, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31531,28, Local-gov,33662, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,40, United-States, >50K
+31532,23, Private,91658, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K
+31533,43, Private,226902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K
+31534,45, Private,232586, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+31535,51, Self-emp-not-inc,291755, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K
+31536,29, ?,207032, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,42, Haiti, <=50K
+31537,23, Private,161478, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+31538,73, Self-emp-not-inc,109833, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+31539,47, Self-emp-not-inc,229394, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K
+31540,61, ?,69285, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,37, United-States, <=50K
+31541,26, Private,491862, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+31542,40, Private,311534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+31543,32, Self-emp-not-inc,420895, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, <=50K
+31544,39, Private,226374, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31545,33, Federal-gov,101345, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31546,35, Private,48779, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K
+31547,42, Private,152676, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+31548,46, Private,164877, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+31549,33, Private,97521, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+31550,47, Private,88564, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K
+31551,33, Private,188246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+31552,26, Private,189185, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+31553,42, State-gov,163069, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31554,28, Private,251905, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+31555,29, Private,112403, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K
+31556,18, Private,36882, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+31557,33, Self-emp-not-inc,195891, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+31558,36, Private,194905, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K
+31559,33, Private,133503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,48, United-States, >50K
+31560,40, Private,31621, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31561,57, Self-emp-not-inc,413373, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K
+31562,40, Private,196029, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,45, United-States, <=50K
+31563,36, Private,107302, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K
+31564,45, Private,151267, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, >50K
+31565,52, Private,256861, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+31566,24, Private,82777, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31567,30, Private,147430, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31568,28, ?,60726, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K
+31569,46, Self-emp-not-inc,165754, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+31570,36, Private,448337, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31571,48, Private,185079, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+31572,36, Private,418702, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31573,48, Private,41504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K
+31574,21, Private,387335, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,1719,9, United-States, <=50K
+31575,18, Private,261720, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31576,38, Private,133963, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K
+31577,66, ?,357750, 11th,7, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+31578,36, State-gov,179488, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,55, United-States, >50K
+31579,38, Private,60135, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31580,55, Self-emp-not-inc,308746, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K
+31581,27, Private,278720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K
+31582,22, State-gov,477505, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31583,29, Private,164711, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K
+31584,40, Private,208277, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K
+31585,21, Private,39943, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+31586,49, Private,104542, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31587,29, Private,286634, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K
+31588,28, Private,142712, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+31589,26, Private,336404, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+31590,33, Private,117983, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,41, United-States, <=50K
+31591,72, ?,108796, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+31592,59, Private,59469, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Iran, <=50K
+31593,37, Private,171968, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+31594,56, ?,119254, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31595,27, Private,278617, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31596,39, Private,72338, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+31597,49, Local-gov,343231, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K
+31598,30, Private,63910, HS-grad,9, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K
+31599,28, Private,190350, 9th,5, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,40, United-States, <=50K
+31600,25, State-gov,176162, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K
+31601,18, Private,37720, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+31602,25, Private,421467, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K
+31603,36, Private,138441, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+31604,52, Private,146767, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+31605,20, ?,369678, 12th,8, Never-married, ?, Not-in-family, Other, Male,0,1602,40, United-States, <=50K
+31606,25, Private,160445, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31607,26, Private,211695, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+31608,50, Private,102346, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,20, United-States, >50K
+31609,48, Private,128796, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31610,39, Private,111129, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+31611,30, Local-gov,44566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+31612,26, Private,118497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+31613,36, Private,334291, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K
+31614,49, Private,237920, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+31615,34, Local-gov,136331, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K
+31616,28, Private,187397, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,48, Mexico, <=50K
+31617,28, Self-emp-not-inc,119793, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31618,42, Private,24982, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+31619,26, Self-emp-not-inc,231714, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31620,54, Private,229272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K
+31621,66, ?,68219, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+31622,61, Self-emp-not-inc,268831, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,53, United-States, <=50K
+31623,45, Self-emp-not-inc,149640, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, >50K
+31624,29, Private,261725, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K
+31625,74, Private,161387, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,16, United-States, <=50K
+31626,61, Local-gov,260167, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31627,27, Private,200928, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,22, United-States, <=50K
+31628,53, Federal-gov,155594, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31629,57, Self-emp-not-inc,79539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+31630,41, Private,469454, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31631,45, Private,331482, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+31632,43, Private,225193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31633,26, ?,370727, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,1977,40, United-States, >50K
+31634,29, Private,82393, HS-grad,9, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K
+31635,65, ?,37170, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K
+31636,41, Private,58484, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K
+31637,31, Local-gov,156464, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, ?, <=50K
+31638,50, Private,344621, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31639,52, Private,174752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+31640,18, Self-emp-inc,174202, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+31641,26, Private,261203, 7th-8th,4, Never-married, Other-service, Unmarried, Other, Female,0,0,30, ?, <=50K
+31642,57, Private,316000, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31643,63, State-gov,216871, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,40, United-States, <=50K
+31644,29, Private,246933, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Mexico, <=50K
+31645,32, Self-emp-not-inc,112115, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K
+31646,34, Private,264651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+31647,43, Private,99185, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,58, United-States, <=50K
+31648,39, Private,176186, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+31649,28, Private,100219, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K
+31650,32, Private,46691, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31651,28, State-gov,297735, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,90, United-States, <=50K
+31652,40, Private,132222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,50, United-States, >50K
+31653,25, Private,189656, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,60, United-States, >50K
+31654,54, Local-gov,224934, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+31655,48, Self-emp-inc,149218, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K
+31656,51, Private,158508, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K
+31657,67, State-gov,261203, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K
+31658,17, Private,309504, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,24, United-States, <=50K
+31659,24, State-gov,324637, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31660,25, Private,267426, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+31661,68, ?,229016, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K
+31662,54, Private,46401, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K
+31663,32, Private,114288, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+31664,61, ?,203849, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31665,41, Federal-gov,193882, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+31666,53, Private,311269, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31667,45, Private,156117, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K
+31668,64, ?,169917, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K
+31669,51, Private,222615, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+31670,41, State-gov,106900, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K
+31671,40, Federal-gov,78036, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K
+31672,27, Private,380560, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K
+31673,41, Private,167106, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,3103,0,35, Philippines, >50K
+31674,51, Private,289436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+31675,36, Private,749636, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31676,34, Self-emp-inc,154120, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K
+31677,43, Private,105119, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+31678,61, Federal-gov,181081, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K
+31679,31, Private,182237, 10th,6, Separated, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K
+31680,34, Private,102130, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K
+31681,43, Private,266324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,99, United-States, >50K
+31682,52, Private,170562, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31683,18, Private,240543, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K
+31684,37, Federal-gov,187046, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31685,60, Private,389254, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+31686,47, Private,179955, Some-college,10, Widowed, Transport-moving, Unmarried, White, Female,0,0,25, Outlying-US(Guam-USVI-etc), <=50K
+31687,21, Private,197997, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K
+31688,34, Self-emp-inc,343789, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K
+31689,28, Private,191088, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,1741,52, United-States, <=50K
+31690,40, Local-gov,141649, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+31691,26, Private,433906, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31692,48, Private,207982, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31693,46, Private,175925, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K
+31694,58, Private,85767, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K
+31695,32, Self-emp-inc,281030, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31696,90, ?,313986, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+31697,38, Private,396595, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K
+31698,20, ?,189203, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K
+31699,43, Self-emp-not-inc,163108, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K
+31700,17, Private,141590, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,12, United-States, <=50K
+31701,36, Private,137421, 12th,8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,45, ?, <=50K
+31702,36, Private,67728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, Italy, <=50K
+31703,30, Private,345522, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,70, United-States, >50K
+31704,45, Private,330087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31705,51, Self-emp-not-inc,204322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+31706,29, Private,50295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K
+31707,35, Self-emp-not-inc,147258, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K
+31708,19, Private,194260, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+31709,56, Private,437727, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31710,64, ?,34100, Some-college,10, Widowed, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K
+31711,62, ?,186611, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31712,24, Private,280960, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,24, United-States, <=50K
+31713,33, Private,33117, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K
+31714,43, Private,169628, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, >50K
+31715,22, State-gov,124942, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K
+31716,44, Private,143368, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,55, United-States, <=50K
+31717,37, Private,255621, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31718,34, Self-emp-inc,154227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,75, United-States, <=50K
+31719,43, Private,171438, Assoc-voc,11, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K
+31720,39, Private,191524, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31721,30, Private,377017, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K
+31722,58, Private,192806, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,33, United-States, <=50K
+31723,31, ?,259120, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,10, United-States, <=50K
+31724,45, Local-gov,234195, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+31725,30, Private,147596, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31726,42, Private,147251, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, <=50K
+31727,50, Private,176157, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31728,25, Local-gov,176162, Assoc-voc,11, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K
+31729,34, Private,384150, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31730,50, Private,107665, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31731,72, ?,82635, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+31732,60, State-gov,165827, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+31733,41, Private,287306, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K
+31734,71, Self-emp-not-inc,78786, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, <=50K
+31735,40, Self-emp-not-inc,33310, Prof-school,15, Divorced, Other-service, Not-in-family, White, Female,0,2339,35, United-States, <=50K
+31736,22, Private,349368, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K
+31737,52, Private,117674, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K
+31738,30, Private,310889, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, United-States, <=50K
+31739,36, ?,187167, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K
+31740,40, Private,379919, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31741,31, Federal-gov,34862, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+31742,44, Private,201723, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K
+31743,38, Local-gov,161463, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K
+31744,46, Private,186410, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K
+31745,57, Federal-gov,62020, Prof-school,15, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, >50K
+31746,39, Private,42044, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+31747,42, Private,170230, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K
+31748,43, Private,341358, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31749,22, Private,199426, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,17, United-States, <=50K
+31750,44, Private,89172, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+31751,22, ?,148955, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, South, <=50K
+31752,37, Private,140673, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+31753,20, ?,71788, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K
+31754,26, State-gov,326033, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,80, United-States, <=50K
+31755,35, Private,129305, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K
+31756,28, Private,171067, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K
+31757,34, Private,143582, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Japan, <=50K
+31758,17, ?,171461, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+31759,18, Private,257980, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31760,25, Private,182866, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+31761,44, Self-emp-inc,69333, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+31762,61, Private,668362, 1st-4th,2, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31763,39, Private,132879, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31764,61, Private,181219, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K
+31765,19, ?,166018, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+31766,22, Private,120518, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+31767,19, Private,183532, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K
+31768,45, Private,49298, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K
+31769,20, Private,157332, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+31770,37, Private,213726, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+31771,26, Private,31143, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31772,17, ?,256173, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K
+31773,26, Private,184872, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K
+31774,58, Private,202652, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K
+31775,61, ?,101602, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, >50K
+31776,64, Private,60940, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,8614,0,50, France, >50K
+31777,19, Private,292590, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K
+31778,36, Private,141420, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K
+31779,47, Private,159389, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31780,62, Private,254534, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+31781,36, State-gov,89508, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31782,38, Self-emp-not-inc,238980, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K
+31783,54, Private,178946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K
+31784,31, Private,204752, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31785,26, Private,290213, Some-college,10, Separated, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+31786,50, Private,102615, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K
+31787,41, Private,291965, Some-college,10, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+31788,52, Local-gov,175339, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+31789,28, Private,90547, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,23, United-States, <=50K
+31790,23, ?,449101, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+31791,46, Self-emp-not-inc,101722, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K
+31792,32, ?,981628, HS-grad,9, Divorced, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K
+31793,59, ?,147989, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K
+31794,30, Self-emp-inc,204470, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, >50K
+31795,58, Local-gov,311409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,30, United-States, >50K
+31796,31, Private,190027, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, ?, <=50K
+31797,36, Private,218015, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K
+31798,31, State-gov,77634, Preschool,1, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K
+31799,52, Self-emp-not-inc,42984, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K
+31800,29, Private,413297, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,70, Mexico, <=50K
+31801,48, Self-emp-not-inc,218835, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, England, <=50K
+31802,30, Private,341051, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+31803,58, Private,252419, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K
+31804,20, Federal-gov,347935, Some-college,10, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K
+31805,19, Private,237848, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,3, United-States, <=50K
+31806,63, Private,174826, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31807,51, Self-emp-not-inc,170086, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K
+31808,53, Private,470368, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K
+31809,54, Federal-gov,75235, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K
+31810,35, ?,35854, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K
+31811,26, Private,746432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,48, United-States, <=50K
+31812,47, Self-emp-not-inc,258498, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,52, United-States, <=50K
+31813,44, Private,176063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+31814,80, Self-emp-not-inc,26865, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K
+31815,55, Private,104724, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31816,43, Private,346321, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+31817,49, Private,402462, Bachelors,13, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,30, Columbia, <=50K
+31818,27, Private,153078, Prof-school,15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K
+31819,42, Private,176063, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K
+31820,39, Private,451059, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+31821,36, ?,229533, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K
+31822,32, Private,106437, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31823,58, Local-gov,294313, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,55, United-States, <=50K
+31824,63, Private,67903, 9th,5, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+31825,49, Private,133669, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+31826,36, Self-emp-inc,251730, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K
+31827,46, Private,72896, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+31828,47, Private,155664, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K
+31829,39, Private,206520, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K
+31830,33, Private,72338, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, Japan, >50K
+31831,43, Local-gov,34640, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1887,40, United-States, >50K
+31832,30, Private,236543, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,68, United-States, <=50K
+31833,39, Local-gov,43702, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K
+31834,44, Private,335248, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31835,27, Private,198197, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+31836,80, ?,281768, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K
+31837,31, Private,160594, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,3, United-States, <=50K
+31838,34, Local-gov,231826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, El-Salvador, <=50K
+31839,28, Private,188171, Assoc-acdm,12, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K
+31840,55, Private,125000, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+31841,36, Private,166509, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31842,42, Private,402367, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,45, United-States, >50K
+31843,67, Local-gov,204123, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K
+31844,53, Self-emp-inc,220786, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K
+31845,43, Private,254146, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K
+31846,29, Local-gov,152461, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,42, United-States, <=50K
+31847,19, Private,223669, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+31848,51, Private,120270, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+31849,21, Self-emp-not-inc,304602, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K
+31850,54, Private,24108, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31851,42, Self-emp-not-inc,32546, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,7430,0,40, United-States, >50K
+31852,41, Private,93885, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K
+31853,28, Private,210765, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+31854,31, Private,191276, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K
+31855,82, Self-emp-not-inc,71438, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K
+31856,23, Private,330571, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K
+31857,40, Local-gov,138634, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+31858,35, Private,112264, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+31859,24, Private,205865, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K
+31860,21, Private,224640, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+31861,27, Private,180758, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K
+31862,29, ?,499935, Assoc-voc,11, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+31863,40, Self-emp-not-inc,107762, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+31864,17, Private,214787, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K
+31865,27, Private,211032, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+31866,34, Private,208353, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+31867,18, Private,157273, 10th,6, Never-married, Other-service, Other-relative, Black, Male,0,0,15, United-States, <=50K
+31868,39, Private,75891, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K
+31869,34, Self-emp-inc,177675, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K
+31870,44, Private,182370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31871,18, ?,200525, 11th,7, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+31872,39, Private,174242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K
+31873,28, Private,95566, 1st-4th,2, Married-spouse-absent, Other-service, Own-child, Other, Female,0,0,35, Dominican-Republic, <=50K
+31874,30, Private,30290, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31875,60, Private,240951, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+31876,58, Private,183810, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K
+31877,49, Private,94342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K
+31878,61, Self-emp-inc,148577, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+31879,27, Private,103634, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K
+31880,59, Self-emp-not-inc,83542, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31881,52, Federal-gov,76131, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K
+31882,42, Federal-gov,262402, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31883,27, Private,198286, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K
+31884,41, Self-emp-inc,145441, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+31885,35, ?,273558, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,30, United-States, <=50K
+31886,50, Local-gov,117496, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K
+31887,36, Private,128876, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31888,21, Private,199698, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K
+31889,38, Private,65390, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+31890,46, Private,128645, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31891,59, Private,53481, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+31892,55, Private,92215, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+31893,49, Local-gov,78859, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,323,20, United-States, <=50K
+31894,59, Self-emp-inc,187502, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+31895,38, Private,242080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K
+31896,22, Private,41837, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K
+31897,28, Private,291374, 12th,8, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31898,47, Private,148995, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K
+31899,59, Private,159008, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K
+31900,37, Private,271013, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31901,33, Private,199046, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31902,34, Private,164280, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K
+31903,35, Local-gov,116960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K
+31904,55, Private,100054, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31905,18, Private,183824, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K
+31906,48, Private,313925, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K
+31907,48, Private,379883, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K
+31908,70, ?,92593, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K
+31909,27, Private,189777, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31910,43, Private,198330, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K
+31911,32, Private,127451, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K
+31912,62, ?,31577, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K
+31913,18, ?,90230, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K
+31914,50, Private,301024, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K
+31915,38, Self-emp-not-inc,175732, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,15, United-States, <=50K
+31916,18, Private,218889, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K
+31917,46, Private,117605, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K
+31918,26, Private,154571, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, >50K
+31919,44, Private,228057, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Dominican-Republic, <=50K
+31920,32, Private,173998, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+31921,25, Private,90752, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+31922,55, Private,51008, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+31923,55, Federal-gov,113398, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K
+31924,25, Private,74977, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K
+31925,40, Private,101593, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+31926,29, Private,228346, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31927,60, Private,180418, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+31928,45, Private,44489, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K
+31929,43, Self-emp-not-inc,277488, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+31930,24, Private,103064, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,55, United-States, <=50K
+31931,34, Private,226872, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31932,47, Self-emp-not-inc,330416, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K
+31933,24, Private,186495, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+31934,47, State-gov,205712, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, United-States, <=50K
+31935,18, Private,217743, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+31936,50, Self-emp-inc,52565, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,40, United-States, <=50K
+31937,22, Private,239954, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K
+31938,49, Self-emp-not-inc,349986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+31939,41, Private,117585, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K
+31940,68, Self-emp-not-inc,122094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K
+31941,62, Self-emp-not-inc,26857, 7th-8th,4, Widowed, Farming-fishing, Other-relative, White, Female,0,0,35, United-States, <=50K
+31942,25, Local-gov,192321, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+31943,24, Private,88095, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,24, Mexico, <=50K
+31944,44, Private,144067, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,12, ?, <=50K
+31945,32, Private,124187, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K
+31946,49, Private,123681, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K
+31947,68, Private,145638, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31948,25, Private,130513, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, Peru, <=50K
+31949,47, Federal-gov,197038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+31950,35, Private,189092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+31951,37, Self-emp-not-inc,198841, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+31952,57, Private,317969, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K
+31953,37, Private,103121, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1848,40, United-States, >50K
+31954,34, Private,111589, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K
+31955,46, Local-gov,267952, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K
+31956,21, Private,63899, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+31957,26, Private,473625, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K
+31958,45, Private,187901, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,2258,44, United-States, >50K
+31959,17, Private,24090, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K
+31960,36, Self-emp-inc,102729, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K
+31961,33, Private,91666, 12th,8, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K
+31962,27, Private,215873, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K
+31963,32, Private,152109, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+31964,24, Private,175586, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K
+31965,37, Private,232614, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K
+31966,53, State-gov,229465, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+31967,44, Private,147110, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,14344,0,40, United-States, >50K
+31968,43, Local-gov,161240, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K
+31969,29, Private,358124, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,52, United-States, <=50K
+31970,47, Private,222529, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K
+31971,37, Self-emp-not-inc,338320, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K
+31972,43, Self-emp-inc,62026, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+31973,23, Private,263886, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,20, United-States, <=50K
+31974,50, Private,310774, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K
+31975,25, Private,98155, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+31976,40, Private,259307, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K
+31977,39, Private,358753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K
+31978,41, Private,29762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+31979,32, Private,202729, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K
+31980,19, Private,28790, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+31981,26, Private,53209, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+31982,30, Local-gov,169020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+31983,34, Private,127195, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+31984,41, Private,211731, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Mexico, <=50K
+31985,42, Self-emp-not-inc,126614, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Other, Male,0,0,30, Iran, <=50K
+31986,45, Private,259463, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+31987,22, Private,228411, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K
+31988,25, Private,117827, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+31989,22, Federal-gov,57216, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K
+31990,46, State-gov,250821, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K
+31991,48, Self-emp-inc,88564, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K
+31992,45, Private,172822, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,52, United-States, >50K
+31993,19, Private,251579, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K
+31994,31, Private,118399, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+31995,30, Self-emp-inc,178383, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,70, United-States, <=50K
+31996,40, Self-emp-not-inc,170866, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+31997,60, ?,268954, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, >50K
+31998,52, ?,89951, 12th,8, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, >50K
+31999,22, Private,203894, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K
+32000,25, Private,237065, Some-college,10, Divorced, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K
+32001,51, Local-gov,108435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K
+32002,32, Private,93213, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,62, United-States, <=50K
+32003,51, Self-emp-inc,231230, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K
+32004,42, Private,386175, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K
+32005,39, Private,128392, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K
+32006,24, Private,223515, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+32007,52, Private,208630, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1741,38, United-States, <=50K
+32008,58, ?,97969, 1st-4th,2, Married-spouse-absent, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+32009,43, Private,174295, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+32010,31, Private,60229, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+32011,28, Private,66095, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32012,31, Federal-gov,130057, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K
+32013,61, Private,179743, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,20, United-States, <=50K
+32014,26, Private,192022, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K
+32015,46, Private,45288, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32016,62, ?,178764, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K
+32017,50, Private,99476, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K
+32018,18, Private,41973, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K
+32019,23, Private,162228, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K
+32020,21, Private,211968, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1762,28, United-States, <=50K
+32021,46, Private,211226, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,36, United-States, <=50K
+32022,38, Private,33397, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+32023,53, Private,120839, 12th,8, Divorced, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K
+32024,53, Private,36327, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+32025,50, Private,139703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+32026,26, Private,107827, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,25, United-States, <=50K
+32027,46, Local-gov,140219, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,55, United-States, >50K
+32028,44, Local-gov,203761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+32029,36, Local-gov,114719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+32030,20, Private,344394, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K
+32031,35, Private,195516, 7th-8th,4, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, <=50K
+32032,40, State-gov,31627, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, <=50K
+32033,70, Private,174032, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32034,57, Private,226875, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K
+32035,40, Private,566537, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,40, Mexico, <=50K
+32036,18, Private,36162, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,5, United-States, <=50K
+32037,45, Self-emp-not-inc,31478, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2829,0,60, United-States, <=50K
+32038,52, Private,294991, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+32039,24, ?,108495, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+32040,42, Self-emp-inc,161532, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, <=50K
+32041,28, Local-gov,332249, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K
+32042,32, Private,268147, Assoc-voc,11, Never-married, Tech-support, Unmarried, White, Female,0,0,60, United-States, <=50K
+32043,56, Federal-gov,317847, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32044,44, Private,52028, 1st-4th,2, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K
+32045,20, Private,184045, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K
+32046,32, Private,206609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+32047,59, Private,152968, Some-college,10, Separated, Adm-clerical, Other-relative, White, Male,3325,0,40, United-States, <=50K
+32048,21, Private,213015, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,2176,0,40, United-States, <=50K
+32049,32, Private,313835, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+32050,49, Private,66385, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K
+32051,22, Private,205940, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,1055,0,30, United-States, <=50K
+32052,51, Self-emp-inc,260938, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+32053,33, Private,60567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K
+32054,23, Private,335067, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32055,34, Private,331126, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,30, United-States, <=50K
+32056,53, Private,156612, 12th,8, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32057,44, Private,188436, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K
+32058,60, Private,227468, Some-college,10, Widowed, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+32059,55, Private,183580, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K
+32060,57, Self-emp-not-inc,50990, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K
+32061,59, Private,384246, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+32062,26, ?,375313, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K
+32063,30, Private,176410, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Own-child, White, Female,7298,0,16, United-States, >50K
+32064,49, Private,93639, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, <=50K
+32065,45, Private,30289, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32066,29, Self-emp-inc,124950, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K
+32067,37, Self-emp-not-inc,126675, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K
+32068,21, Private,145964, 12th,8, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32069,36, State-gov,345712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+32070,18, ?,97474, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K
+32071,37, Private,180342, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+32072,19, Private,167087, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32073,65, ?,192825, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+32074,30, Private,318749, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, Germany, <=50K
+32075,27, ?,147638, Masters,14, Never-married, ?, Not-in-family, Other, Female,0,0,40, Japan, <=50K
+32076,59, Federal-gov,293971, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K
+32077,32, Private,229566, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K
+32078,25, Private,242464, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32079,40, Private,111067, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, >50K
+32080,21, ?,155697, 9th,5, Never-married, ?, Own-child, White, Male,0,0,42, United-States, <=50K
+32081,49, Local-gov,106554, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K
+32082,49, Private,23776, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+32083,51, ?,43909, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+32084,48, Private,105808, 9th,5, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K
+32085,42, Private,169995, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K
+32086,53, Private,141388, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32087,29, Self-emp-not-inc,241431, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K
+32088,21, ?,78374, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,24, United-States, <=50K
+32089,54, Self-emp-not-inc,158948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K
+32090,66, Private,115498, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, ?, >50K
+32091,34, Private,272411, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32092,39, Private,30529, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K
+32093,62, ?,263374, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Canada, <=50K
+32094,30, Private,190228, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K
+32095,27, Private,126060, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32096,25, Private,391192, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+32097,26, Private,214069, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32098,45, Private,170871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K
+32099,55, Private,118993, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,10, United-States, <=50K
+32100,26, Private,245880, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K
+32101,45, Private,174794, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,56, Germany, <=50K
+32102,61, Local-gov,153408, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K
+32103,34, ?,330301, 7th-8th,4, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K
+32104,26, Private,385278, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,60, United-States, <=50K
+32105,44, Federal-gov,38434, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32106,45, Self-emp-not-inc,111679, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K
+32107,55, Private,168956, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32108,20, Private,86143, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K
+32109,48, Private,99835, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+32110,33, Private,263561, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K
+32111,44, Private,118536, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+32112,32, Self-emp-inc,209691, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Canada, <=50K
+32113,54, Private,123374, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32114,40, Private,137225, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+32115,29, Private,119359, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,10, China, >50K
+32116,56, Private,134153, 10th,6, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K
+32117,47, Private,121124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+32118,22, Private,147655, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32119,46, Private,165138, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K
+32120,24, Federal-gov,312017, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+32121,37, Private,272950, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32122,49, Private,259323, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K
+32123,44, Federal-gov,281739, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,13550,0,50, United-States, >50K
+32124,21, Private,119156, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K
+32125,55, Private,165881, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+32126,23, State-gov,136075, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K
+32127,50, Private,187465, 11th,7, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32128,44, Private,328561, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K
+32129,48, Private,350440, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K
+32130,38, Self-emp-not-inc,109133, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K
+32131,48, Private,109814, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K
+32132,39, Private,86643, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32133,52, Federal-gov,154521, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K
+32134,63, Private,45912, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K
+32135,48, Private,175070, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,2258,40, United-States, >50K
+32136,37, Private,338033, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32137,26, State-gov,158963, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32138,50, Self-emp-inc,121441, 11th,7, Never-married, Exec-managerial, Other-relative, White, Male,0,2444,40, United-States, >50K
+32139,47, Self-emp-not-inc,242391, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+32140,19, Private,119964, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,15, United-States, <=50K
+32141,34, Private,193344, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K
+32142,29, Local-gov,45554, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+32143,33, Private,249716, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K
+32144,53, Private,58985, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K
+32145,24, Private,456367, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32146,39, Private,117381, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K
+32147,50, Self-emp-not-inc,240922, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,1408,5, United-States, <=50K
+32148,31, Private,226443, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+32149,22, Private,364342, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Female,0,0,25, United-States, <=50K
+32150,42, Local-gov,101593, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K
+32151,23, Private,267471, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K
+32152,22, Private,186849, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K
+32153,65, Private,174603, 5th-6th,3, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, Italy, <=50K
+32154,34, Private,115040, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K
+32155,23, Private,142766, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,1055,0,20, United-States, <=50K
+32156,38, Private,59660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+32157,45, Self-emp-not-inc,49595, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K
+32158,19, Private,127491, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32159,46, Private,155933, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1602,8, United-States, <=50K
+32160,23, Private,122272, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K
+32161,37, Private,143771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+32162,59, Private,91384, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K
+32163,36, State-gov,135874, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32164,35, Private,207066, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K
+32165,51, Private,172493, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K
+32166,42, Local-gov,189956, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,30, United-States, <=50K
+32167,35, Private,106967, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32168,20, Private,200153, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K
+32169,25, Private,149943, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,4101,0,60, ?, <=50K
+32170,41, Private,151736, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32171,40, Private,67852, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K
+32172,36, Private,54229, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,37, United-States, <=50K
+32173,34, Self-emp-inc,154120, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K
+32174,44, Self-emp-not-inc,157217, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K
+32175,31, Federal-gov,381645, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32176,41, Local-gov,160785, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32177,43, Private,133584, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+32178,43, Private,170230, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32179,58, Private,250206, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K
+32180,19, Private,128363, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K
+32181,43, Local-gov,163434, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K
+32182,50, Private,195690, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K
+32183,44, Self-emp-inc,138991, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+32184,46, Private,118419, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,38, United-States, <=50K
+32185,52, Self-emp-not-inc,185407, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+32186,52, Self-emp-not-inc,283079, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32187,18, Private,119655, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K
+32188,29, Private,153416, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K
+32189,19, ?,204868, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,36, United-States, <=50K
+32190,34, Private,220362, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+32191,23, Local-gov,203078, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K
+32192,64, State-gov,104361, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K
+32193,68, Private,274096, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K
+32194,42, State-gov,455553, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+32195,41, Private,112283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K
+32196,41, Self-emp-inc,64506, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K
+32197,22, State-gov,24395, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K
+32198,67, Self-emp-inc,182581, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,20, United-States, >50K
+32199,27, Private,100669, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K
+32200,25, Private,178025, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+32201,49, ?,113913, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,60, United-States, <=50K
+32202,28, Private,55191, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K
+32203,51, Federal-gov,223206, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Vietnam, >50K
+32204,23, Local-gov,162551, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,35, China, <=50K
+32205,19, Private,693066, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K
+32206,72, ?,96867, 5th-6th,3, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32207,33, Private,256362, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+32208,53, Private,539864, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K
+32209,35, Private,241153, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32210,31, Private,284395, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32211,18, Private,180039, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K
+32212,45, Private,178416, Assoc-voc,11, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32213,28, Private,175710, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, ?, <=50K
+32214,22, Local-gov,164775, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, >50K
+32215,55, Private,176897, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32216,45, Private,265097, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,40, United-States, >50K
+32217,22, Private,193090, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K
+32218,37, Private,186009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1672,60, United-States, <=50K
+32219,28, Private,175262, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+32220,19, Private,109928, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K
+32221,37, Self-emp-not-inc,162834, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K
+32222,50, Private,177896, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K
+32223,31, Private,181372, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K
+32224,40, Private,70645, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K
+32225,51, Private,128272, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+32226,56, Private,106723, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32227,21, Private,122348, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K
+32228,40, Private,177905, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,44, United-States, >50K
+32229,22, Private,254547, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, Jamaica, <=50K
+32230,47, Self-emp-inc,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K
+32231,44, Private,33105, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+32232,30, Private,215441, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,40, ?, <=50K
+32233,44, Local-gov,197919, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K
+32234,41, Private,206139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K
+32235,47, Private,117849, Assoc-acdm,12, Divorced, Sales, Own-child, White, Male,0,0,44, United-States, <=50K
+32236,26, Private,323044, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Germany, >50K
+32237,34, Private,90415, Assoc-voc,11, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+32238,47, Private,294913, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K
+32239,36, Private,127573, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K
+32240,21, Private,180190, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,46, United-States, <=50K
+32241,45, State-gov,231013, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32242,33, Private,356015, HS-grad,9, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,35, Hong, <=50K
+32243,33, Private,198069, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K
+32244,58, Self-emp-not-inc,99141, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Female,0,0,10, United-States, <=50K
+32245,31, Private,188246, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K
+32246,32, Self-emp-not-inc,116508, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K
+32247,44, Federal-gov,38434, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K
+32248,24, Private,128477, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32249,35, Private,91839, Bachelors,13, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,7688,0,20, United-States, >50K
+32250,43, Private,409922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K
+32251,49, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+32252,37, Self-emp-not-inc,103925, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K
+32253,42, Self-emp-not-inc,34037, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K
+32254,31, Private,251659, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,1485,55, ?, >50K
+32255,19, Private,57145, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K
+32256,41, Private,182108, Doctorate,16, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, >50K
+32257,51, Self-emp-inc,213296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K
+32258,51, Self-emp-inc,28765, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+32259,63, Private,37792, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,31, United-States, <=50K
+32260,39, Federal-gov,232036, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K
+32261,30, Private,33678, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+32262,62, Without-pay,159908, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,16, United-States, <=50K
+32263,27, Private,176761, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,40, Nicaragua, <=50K
+32264,32, Private,260954, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,30, United-States, <=50K
+32265,37, Local-gov,180342, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K
+32266,47, Local-gov,324791, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K
+32267,31, Private,183801, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K
+32268,42, Private,204235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32269,37, Private,249720, Assoc-voc,11, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,32, United-States, <=50K
+32270,60, Private,127084, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,2042,34, United-States, <=50K
+32271,42, Local-gov,201495, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K
+32272,38, Private,447346, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, >50K
+32273,24, Private,206008, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Male,0,0,20, United-States, <=50K
+32274,34, Private,286020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K
+32275,20, ?,99891, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K
+32276,29, Local-gov,169544, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K
+32277,90, Private,313749, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K
+32278,55, Private,89182, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Italy, <=50K
+32279,36, Private,258102, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32280,49, Private,255466, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K
+32281,50, Private,38795, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+32282,17, Private,311907, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K
+32283,54, Private,171924, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K
+32284,26, Private,164488, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,10, United-States, <=50K
+32285,44, Private,297991, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K
+32286,28, Private,478315, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K
+32287,54, Local-gov,34832, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+32288,21, Private,67804, 9th,5, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,20, United-States, <=50K
+32289,24, Private,34568, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32290,31, Private,47151, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,56, United-States, <=50K
+32291,59, ?,120617, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+32292,41, Private,318046, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K
+32293,29, Private,363963, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32294,50, Private,92811, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K
+32295,32, Private,33678, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K
+32296,42, Private,66118, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32297,47, Private,160474, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K
+32298,44, Private,159960, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+32299,49, Private,242987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K
+32300,61, Private,232719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+32301,65, Local-gov,103153, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1411,40, United-States, <=50K
+32302,45, Local-gov,162187, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K
+32303,59, Private,207391, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32304,30, Never-worked,176673, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K
+32305,34, Private,356882, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+32306,24, Private,427686, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K
+32307,42, Self-emp-inc,191196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, ?, >50K
+32308,37, Private,377798, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K
+32309,36, Private,43712, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32310,21, ?,205939, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+32311,54, Private,161691, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2559,40, United-States, >50K
+32312,34, Private,346034, 12th,8, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,35, Mexico, <=50K
+32313,41, Private,144460, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, Italy, <=50K
+32314,18, Never-worked,153663, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,4, United-States, <=50K
+32315,26, Private,262617, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+32316,23, Federal-gov,173851, HS-grad,9, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,8, United-States, <=50K
+32317,63, ?,126540, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K
+32318,34, Private,117963, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K
+32319,54, Private,219737, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K
+32320,37, Private,328466, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, Mexico, <=50K
+32321,54, State-gov,138852, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+32322,22, Local-gov,195532, Some-college,10, Never-married, Protective-serv, Other-relative, White, Female,0,0,43, United-States, <=50K
+32323,32, Private,188246, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32324,42, State-gov,138162, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+32325,31, State-gov,110714, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K
+32326,48, Private,123075, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K
+32327,28, Private,330466, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K
+32328,31, Private,254304, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K
+32329,28, Private,435842, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K
+32330,24, Private,118657, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K
+32331,50, Private,278188, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K
+32332,26, Private,233777, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, Mexico, <=50K
+32333,37, Self-emp-inc,328466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K
+32334,24, Private,176580, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K
+32335,18, ?,156608, 11th,7, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K
+32336,32, Private,172415, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K
+32337,23, Private,194951, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, Ireland, <=50K
+32338,33, Local-gov,318921, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,35, United-States, <=50K
+32339,49, Private,189462, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32340,75, Self-emp-not-inc,192813, Masters,14, Widowed, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K
+32341,74, Self-emp-not-inc,199136, Bachelors,13, Widowed, Craft-repair, Not-in-family, White, Male,15831,0,8, Germany, >50K
+32342,26, Private,156805, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K
+32343,66, ?,93318, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K
+32344,34, Private,121966, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K
+32345,18, Private,347336, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K
+32346,33, Private,205950, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32347,36, State-gov,212143, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+32348,44, Private,187821, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K
+32349,36, Private,250807, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+32350,53, Private,291755, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32351,60, Private,36077, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32352,28, Private,119793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K
+32353,36, Private,184655, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,48, United-States, <=50K
+32354,35, Private,162256, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,6849,0,40, United-States, <=50K
+32355,45, Self-emp-not-inc,204405, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K
+32356,23, Private,133355, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K
+32357,35, Private,89559, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, <=50K
+32358,34, Private,115066, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K
+32359,46, Private,139514, Preschool,1, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male,0,0,75, Dominican-Republic, <=50K
+32360,58, State-gov,200316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32361,55, Local-gov,166502, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K
+32362,63, Private,226422, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32363,41, Self-emp-not-inc,251305, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32364,45, Private,190482, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,76, United-States, <=50K
+32365,41, Private,122215, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K
+32366,42, Private,248356, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+32367,90, Local-gov,214594, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,2653,0,40, United-States, <=50K
+32368,41, Private,220460, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K
+32369,22, Private,174043, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32370,53, Self-emp-not-inc,137547, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828,0,40, Philippines, >50K
+32371,49, Self-emp-not-inc,111959, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Scotland, >50K
+32372,51, Private,40641, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K
+32373,22, Private,205940, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32374,23, Private,265077, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32375,59, Private,395736, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K
+32376,40, Private,306225, HS-grad,9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K
+32377,28, Private,180299, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K
+32378,39, Private,214896, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K
+32379,25, Private,273792, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,37, United-States, <=50K
+32380,48, State-gov,224474, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32381,62, Private,271431, 9th,5, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,42, United-States, <=50K
+32382,44, Local-gov,150171, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+32383,28, Federal-gov,381789, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32384,62, Private,170984, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K
+32385,32, Private,108256, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32386,59, Federal-gov,23789, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K
+32387,20, Private,176321, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K
+32388,40, Private,260425, Assoc-acdm,12, Separated, Tech-support, Unmarried, White, Female,1471,0,32, United-States, <=50K
+32389,47, Private,248059, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,47, United-States, >50K
+32390,60, Private,56248, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32391,55, Private,199763, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,81, United-States, <=50K
+32392,18, Private,200047, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K
+32393,43, Private,191712, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K
+32394,31, Self-emp-not-inc,156033, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K
+32395,22, Private,173736, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32396,56, Private,135458, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K
+32397,41, Private,185660, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+32398,24, Private,222005, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K
+32399,42, Private,161510, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K
+32400,53, Local-gov,186303, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K
+32401,52, Local-gov,143533, 7th-8th,4, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K
+32402,42, Private,288154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,89, United-States, >50K
+32403,48, Private,325372, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K
+32404,35, Private,379959, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32405,33, Private,168387, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+32406,20, Private,234640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+32407,33, Private,232475, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K
+32408,30, Private,205152, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32409,31, Private,112115, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32410,29, Private,183854, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K
+32411,26, Private,164386, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K
+32412,61, Private,149620, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+32413,45, Private,199590, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K
+32414,29, Private,83742, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K
+32415,57, Self-emp-not-inc,65080, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K
+32416,33, Private,191335, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, >50K
+32417,20, Private,227778, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,56, United-States, <=50K
+32418,26, Private,48280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32419,36, Private,66304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K
+32420,23, Private,45834, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K
+32421,31, Private,298995, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K
+32422,47, Private,161950, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+32423,61, Private,98776, 11th,7, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K
+32424,35, Private,102268, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K
+32425,23, Private,180771, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0,0,35, Mexico, <=50K
+32426,20, ?,203992, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K
+32427,41, Private,206878, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K
+32428,39, Federal-gov,110622, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K
+32429,51, Local-gov,203334, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K
+32430,61, Self-emp-not-inc,50483, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K
+32431,51, Private,274502, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K
+32432,36, Private,208068, Preschool,1, Divorced, Other-service, Not-in-family, Other, Male,0,0,72, Mexico, <=50K
+32433,41, Self-emp-not-inc,168098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+32434,34, Private,213307, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,7443,0,35, United-States, <=50K
+32435,25, Private,175128, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+32436,37, Private,40955, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K
+32437,19, Private,60890, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K
+32438,66, Self-emp-not-inc,102686, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K
+32439,23, Private,190273, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K
+32440,30, Self-emp-not-inc,176185, Some-college,10, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,60, United-States, >50K
+32441,53, Private,304504, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K
+32442,25, Private,390657, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+32443,18, Private,41381, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1602,20, United-States, <=50K
+32444,51, Private,101432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32445,61, Private,190682, HS-grad,9, Widowed, Craft-repair, Not-in-family, Black, Female,0,1669,50, United-States, <=50K
+32446,53, Private,158993, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,38, United-States, <=50K
+32447,17, Private,117798, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K
+32448,61, Private,137554, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32449,44, Self-emp-inc,71556, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K
+32450,38, Private,257416, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K
+32451,40, Private,195617, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K
+32452,32, Private,236318, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K
+32453,46, Private,42251, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K
+32454,50, Private,257933, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32455,36, Self-emp-not-inc,109133, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K
+32456,30, Self-emp-not-inc,261943, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,30, Honduras, <=50K
+32457,33, Private,139057, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K
+32458,36, Private,237943, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K
+32459,85, Private,98611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,3, Poland, <=50K
+32460,62, Private,128092, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K
+32461,24, Private,284317, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K
+32462,48, Self-emp-inc,185041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K
+32463,58, Local-gov,223214, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+32464,45, Self-emp-inc,173664, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K
+32465,66, Private,269665, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K
+32466,37, Private,121521, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K
+32467,55, Private,199713, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K
+32468,39, Self-emp-not-inc,193689, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K
+32469,58, Self-emp-inc,181974, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, ?, <=50K
+32470,50, Private,485710, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K
+32471,28, Private,185647, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K
+32472,34, Private,30673, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K
+32473,41, Federal-gov,160467, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,40, United-States, <=50K
+32474,36, Private,186819, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K
+32475,22, Private,67234, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K
+32476,35, Private,30673, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, <=50K
+32477,49, ?,114648, 12th,8, Divorced, ?, Other-relative, Black, Male,0,0,40, United-States, <=50K
+32478,21, Private,182117, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K
+32479,64, State-gov,222966, 7th-8th,4, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K
+32480,41, Private,201495, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+32481,52, Private,301229, Assoc-voc,11, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K
+32482,32, Private,157747, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+32483,27, Private,155382, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K
+32484,48, Private,268083, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32485,28, Private,113987, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+32486,24, Private,216984, Some-college,10, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K
+32487,51, Private,177669, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K
+32488,32, Private,164190, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K
+32489,61, Private,355645, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K
+32490,60, ?,134152, 9th,5, Divorced, ?, Not-in-family, Black, Male,0,0,35, United-States, <=50K
+32491,33, Private,63079, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K
+32492,42, Self-emp-not-inc,217597, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,50, ?, <=50K
+32493,24, Private,381895, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K
+32494,82, ?,403910, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K
+32495,26, Private,179010, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K
+32496,18, Private,436163, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K
+32497,34, Private,321709, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K
+32498,57, Private,153918, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+32499,25, Private,403788, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K
+32500,34, Private,60567, 11th,7, Divorced, Transport-moving, Unmarried, White, Male,0,880,60, United-States, <=50K
+32501,71, Private,138145, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K
+32502,35, Local-gov,79649, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K
+32503,47, Private,312088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32504,50, Private,208630, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K
+32505,33, Private,182401, 10th,6, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K
+32506,38, Private,32916, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K
+32507,50, Private,302372, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K
+32508,45, Private,155093, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,38, Dominican-Republic, <=50K
+32509,32, Private,192965, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K
+32510,39, Private,107302, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K
+32511,25, Local-gov,514716, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K
+32512,20, Private,270436, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K
+32513,46, Private,42972, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,22, United-States, >50K
+32514,40, Private,142657, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, <=50K
+32515,66, Federal-gov,47358, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,3471,0,40, United-States, <=50K
+32516,30, Private,176175, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K
+32517,36, Private,131459, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K
+32518,57, Local-gov,110417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K
+32519,46, Private,364548, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K
+32520,27, Private,177398, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,64, United-States, <=50K
+32521,33, Private,273243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K
+32522,58, Private,147707, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K
+32523,30, Private,77266, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K
+32524,26, Private,191648, Assoc-acdm,12, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,15, United-States, <=50K
+32525,81, ?,120478, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,1, ?, <=50K
+32526,32, Private,211349, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K
+32527,22, Private,203715, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K
+32528,31, Private,292592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K
+32529,29, Private,125976, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K
+32530,35, ?,320084, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,55, United-States, >50K
+32531,30, ?,33811, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,99, United-States, <=50K
+32532,34, Private,204461, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K
+32533,54, Private,337992, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K
+32534,37, Private,179137, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K
+32535,22, Private,325033, 12th,8, Never-married, Protective-serv, Own-child, Black, Male,0,0,35, United-States, <=50K
+32536,34, Private,160216, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K
+32537,30, Private,345898, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,46, United-States, <=50K
+32538,38, Private,139180, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,15020,0,45, United-States, >50K
+32539,71, ?,287372, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K
+32540,45, State-gov,252208, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K
+32541,41, ?,202822, HS-grad,9, Separated, ?, Not-in-family, Black, Female,0,0,32, United-States, <=50K
+32542,72, ?,129912, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K
+32543,45, Local-gov,119199, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, <=50K
+32544,31, Private,199655, Masters,14, Divorced, Other-service, Not-in-family, Other, Female,0,0,30, United-States, <=50K
+32545,39, Local-gov,111499, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K
+32546,37, Private,198216, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K
+32547,43, Private,260761, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K
+32548,65, Self-emp-not-inc,99359, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,1086,0,60, United-States, <=50K
+32549,43, State-gov,255835, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K
+32550,43, Self-emp-not-inc,27242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K
+32551,32, Private,34066, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K
+32552,43, Private,84661, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K
+32553,32, Private,116138, Masters,14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,11, Taiwan, <=50K
+32554,53, Private,321865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K
+32555,22, Private,310152, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K
+32556,27, Private,257302, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, <=50K
+32557,40, Private,154374, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K
+32558,58, Private,151910, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K
+32559,22, Private,201490, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K
+32560,52, Self-emp-inc,287927, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K
diff --git a/synth/snsynth/gsd/utils/test/downloaded_datasets/adult_sync_10.00.csv b/synth/snsynth/gsd/utils/test/downloaded_datasets/adult_sync_10.00.csv
new file mode 100644
index 00000000..1c185ec9
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/downloaded_datasets/adult_sync_10.00.csv
@@ -0,0 +1,1001 @@
+,age,workclass,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,earning-class
+0,43,4,107303,9,13,4,12,1,4,1,60,0,45,39,0
+1,34,4,83508,11,9,4,1,3,4,0,45,1,20,39,0
+2,57,4,242898,11,9,2,4,0,4,1,6297,4,45,39,1
+3,38,4,216832,9,13,2,13,0,4,1,67,4,50,39,1
+4,30,4,99851,15,10,4,1,3,4,0,0,0,20,39,0
+5,22,2,114609,11,9,4,1,1,4,0,52,4,40,39,0
+6,37,4,193793,7,12,4,7,1,4,0,48,1,45,39,0
+7,46,6,283089,11,9,2,3,0,4,1,65,0,25,39,0
+8,25,6,197580,0,6,2,14,0,4,1,39,1,30,39,0
+9,40,4,213739,15,10,2,4,5,2,0,57,2,40,39,0
+10,35,4,243690,11,9,0,8,4,4,0,76,4,40,2,0
+11,25,4,249121,5,4,6,7,3,4,0,3093,1,35,26,0
+12,30,4,348461,15,10,0,6,4,4,1,6,1,40,39,0
+13,47,4,118033,11,9,2,13,0,4,1,70,0,40,39,1
+14,48,7,319567,15,10,0,1,4,4,0,27,0,40,39,0
+15,44,4,155065,11,9,2,3,0,4,1,0,1,40,39,1
+16,52,4,82602,15,10,0,12,1,4,0,19,0,40,39,0
+17,25,4,244287,8,11,2,3,0,4,1,55,3,40,39,0
+18,30,4,156661,1,7,2,3,0,4,1,55,2,60,39,0
+19,68,0,116313,11,9,6,0,4,4,0,65,0,35,39,0
+20,73,6,290299,14,15,2,4,0,4,1,15930,4,12,39,1
+21,21,2,366174,15,10,2,10,5,4,0,1247,4,40,39,0
+22,30,5,123695,7,12,4,12,2,1,0,18,0,40,39,0
+23,35,4,216008,12,14,6,10,1,4,0,16232,0,38,39,0
+24,34,4,206631,12,14,4,4,1,4,0,44,2,50,0,0
+25,59,1,229347,6,3,2,14,0,2,1,0,0,40,26,0
+26,42,4,271698,11,9,2,6,0,0,1,29,0,40,39,0
+27,42,5,192084,13,16,0,10,1,4,1,10,3,50,2,1
+28,44,2,250215,2,8,0,11,3,4,1,18,2,59,39,0
+29,17,4,149357,0,6,4,3,1,4,1,30,4,40,39,0
+30,33,4,175427,11,9,2,3,2,4,1,4158,1,40,9,0
+31,32,4,290706,9,13,4,3,1,2,1,51,1,44,39,0
+32,43,4,297318,14,15,2,10,0,4,1,13,1,40,39,1
+33,24,5,139218,9,13,2,11,0,4,1,95,0,60,39,1
+34,62,7,227272,11,9,4,1,1,4,0,15,4,55,39,0
+35,34,4,413853,15,10,2,12,0,4,1,66,3,40,39,1
+36,37,4,292853,11,9,5,6,3,2,1,24,1,40,39,0
+37,22,0,227124,11,9,4,1,1,2,0,69,2,40,39,0
+38,47,5,96867,14,15,2,12,0,4,1,16,3,60,39,1
+39,53,4,54103,15,10,2,3,0,4,1,63,2,81,39,0
+40,42,5,254831,12,14,2,4,0,4,1,63,0,45,39,0
+41,49,0,181724,15,10,2,0,0,4,1,97,4,40,39,0
+42,47,4,189084,11,9,2,3,0,4,1,50,2,40,39,1
+43,50,7,171057,11,9,2,12,0,4,1,11,4,40,0,0
+44,24,4,227112,15,10,2,3,0,4,1,0,4342,43,39,0
+45,47,6,177293,11,9,2,1,0,4,1,26,2,40,39,0
+46,27,4,189085,15,10,4,12,4,2,1,47,3,45,39,0
+47,28,4,53835,9,13,4,10,1,4,1,26,4,20,39,0
+48,61,6,180250,11,9,0,12,1,4,0,62,2,65,39,1
+49,32,4,154232,12,14,2,12,5,4,0,97,0,35,39,0
+50,40,4,180668,8,11,0,3,1,4,1,97,2,50,39,0
+51,53,4,245770,8,11,2,4,0,4,0,97,0,60,39,0
+52,37,4,133230,11,9,0,1,4,4,0,36,1,40,39,0
+53,26,4,134406,1,7,4,6,3,2,1,78,1,30,7,0
+54,54,6,213270,9,13,2,12,0,4,1,28,1885,50,39,1
+55,46,1,204253,11,9,2,4,0,4,1,15010,1918,70,39,1
+56,66,2,50161,11,9,2,8,0,4,1,4,1675,40,39,0
+57,22,4,477996,11,8,4,5,2,4,0,51,2,24,26,0
+58,51,4,189454,8,11,0,1,4,4,0,28,3,40,39,0
+59,59,4,131815,11,9,0,4,4,4,0,15,0,40,39,0
+60,36,4,122684,15,10,2,4,0,2,1,46,0,40,39,1
+61,28,4,148163,11,9,0,7,4,4,0,54,2,40,39,0
+62,26,4,37129,15,10,5,1,4,4,0,93,1,20,39,0
+63,26,4,200411,11,9,4,12,1,4,1,45,4,38,39,0
+64,23,4,191006,11,9,2,13,0,4,1,88,1,48,39,1
+65,30,6,159926,11,9,2,3,0,4,1,51,4,35,39,0
+66,38,7,84416,11,9,0,4,4,4,1,19,1673,40,39,0
+67,20,4,315045,15,10,4,14,3,4,1,82,0,10,39,0
+68,38,4,355205,15,10,2,4,5,4,1,77,2,40,39,1
+69,31,4,206843,11,9,2,7,0,2,1,4,0,40,39,0
+70,36,4,283077,11,9,2,7,0,2,1,77,2,40,39,0
+71,21,4,200091,11,9,4,1,3,4,0,30,1,40,39,0
+72,25,4,389589,9,13,4,12,3,4,1,8227,2,12,0,0
+73,28,2,326006,0,6,3,1,4,2,0,37,0,38,39,0
+74,36,4,135472,11,9,2,6,0,4,1,48,114,40,39,0
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+985,46,4,176831,8,11,0,14,1,4,0,37,3,30,39,0
+986,25,4,235915,11,9,0,14,1,4,1,67,0,50,39,0
+987,24,4,207761,7,12,4,8,1,4,1,4544,1,33,39,0
+988,19,4,187432,11,8,4,8,2,4,1,58,4,35,39,0
+989,54,4,510675,0,6,0,7,1,2,0,85,3,40,39,0
+990,23,4,190731,7,12,4,8,3,4,0,52,4,35,39,0
+991,31,4,291506,11,9,0,4,4,4,0,356,3,45,39,0
+992,53,4,170694,5,4,6,8,1,4,1,61,2,40,41,0
+993,32,4,248843,11,9,2,12,0,2,1,65,2,40,39,0
+994,37,4,164504,11,9,4,3,1,2,1,60,2,40,39,0
+995,60,5,220460,11,9,2,4,0,4,1,64,3,45,39,1
+996,38,4,409212,4,3,2,6,0,4,1,94,3,40,26,0
+997,44,4,455326,11,9,2,13,0,2,1,59,3817,40,39,0
+998,32,4,93762,11,9,2,7,0,4,1,48,0,40,39,0
+999,29,4,288331,9,13,4,10,1,2,1,32,0,35,0,0
diff --git a/synth/snsynth/gsd/utils/test/load_data.py b/synth/snsynth/gsd/utils/test/load_data.py
new file mode 100644
index 00000000..af761584
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/load_data.py
@@ -0,0 +1,71 @@
+import os.path
+import pandas as pd
+
+
+def load_data(req_datasets):
+    """
+    Takes in optional dataset list. Otherwise grabs them
+    from the conf.py file.
+
+    Returns a dictionary of datasets.
+    {
+        'dset': pd.DataFrame,
+        'dset': pd.DataFrame
+    }
+    """
+    import requests
+    import io
+    import json
+
+    os.makedirs('downloaded_datasets', exist_ok=True)
+    with open('datasets.json') as j:
+        dsets = j.read()
+    archive = json.loads(dsets)
+
+    loaded_datasets = {}
+
+    def retrieve_dataset(dataset):
+        r = requests.get(dataset['url'])
+        if r.ok:
+            data = r.content.decode('utf8')
+            sep = dataset['sep']
+            df = pd.read_csv(io.StringIO(data), names=dataset['columns'].split(','), sep=sep, index_col=False)
+            if dataset['header'] == "t":
+                df = df.iloc[1:]
+            return df
+
+        raise "Unable to retrieve dataset: " + dataset
+
+    def select_column(scol):
+        # Zero indexed, inclusive
+        return scol.split(',')
+
+    def encode_categorical(df,dataset):
+        from sklearn.preprocessing import LabelEncoder
+
+        encoders = {}
+        if dataset['categorical_columns'] != "":
+            for column in select_column(dataset['categorical_columns']):
+                encoders[column] = LabelEncoder()
+                df[column] = encoders[column].fit_transform(df[column])
+
+        df = df.apply(pd.to_numeric, errors='ignore')
+        data_mem = df.memory_usage(index=True).sum()
+        print("Memory consumed by " + dataset['name'] + ":" + str(data_mem))
+        return {"data": df, "target": dataset['target'], "name": dataset['name'], "categorical_columns": dataset['categorical_columns']}
+
+    for d in req_datasets:
+        data_name = archive[d]['name']
+        data_path = f"downloaded_datasets/{data_name}.csv"
+        if os.path.exists(data_path):
+            print(f'loading {data_path}')
+            df = pd.read_csv(data_path, index_col=0)
+        else:
+            df = retrieve_dataset(archive[d])
+            print(f'saving {data_path}')
+            df.to_csv(data_path)
+        encoded_df_dict = encode_categorical(df, archive[d]) 
+        loaded_datasets[d] = encoded_df_dict
+
+    # Return dictionary of pd dataframes
+    return loaded_datasets
\ No newline at end of file
diff --git a/synth/snsynth/gsd/utils/test/test_fit.py b/synth/snsynth/gsd/utils/test/test_fit.py
new file mode 100644
index 00000000..385a1ee3
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/test_fit.py
@@ -0,0 +1,144 @@
+import unittest
+import numpy as np
+import pandas as pd
+from snsynth.gsd import GSDSynthesizer
+from snsynth.gsd.utils import Dataset, Domain
+from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles
+
+
+class TestFit(unittest.TestCase):
+
+
+    ## Test fit
+    def test_mixed_columns_fit(self):
+        columns = ['R1', 'R2', 'C1', 'O1', 'C2']
+
+        meta_data = {
+            'R1': {'type': 'float', 'lower': 0, 'upper': 1},
+            'R2': {'type': 'float', 'lower': 0, 'upper': 10},
+            'C1': {'type': 'string'},
+            'O1': {'type': 'int', 'lower': 0, 'upper': 100},
+            'C2': {'type': 'string'},
+        }
+
+        data_array = [
+            [0.01, 1.1, 'Cat', 0, 0],
+            [0.06, 2.8, 'Cat', 4, 0],
+            [0.09, 0.2, 'Dog', 4, 1],
+            [0.02, 2.3, 'Cat', 0, 0],
+            [0.11, 0.1, 'Dog', 9, 1],
+            [0.18, 7.2, 'Bird', 4, 1],
+            [0.12, 0.9, 'Fish', 8, 0],
+            [0.13, 0.9, 'Fish', 8, 0],
+            [0.15, 0.9, 'Cat', 4, 0],
+            [0.14, 0.9, 'Fish', 8, 0],
+        ]
+        df = pd.DataFrame(data_array, columns=columns)
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        synth.fit(df, meta_data=meta_data, seed=0)
+        print(synth.sample())
+        max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+        assert max_error < 0.001
+
+
+
+    def test_2d_continuous(self):
+
+        columns = ['R1', 'R2']
+        col_bounds = {'R1': {'type': 'float', 'lower':0, 'upper': 1}, 'R2': {'type': 'float', 'lower': 0, 'upper': 1}}
+        N = 10
+        data_array = np.column_stack([
+            0.37 * np.ones(N),
+            np.concatenate([0.64 * np.ones(N//2), np.zeros(N//2)]),
+            ])
+        df = pd.DataFrame(data_array, columns=columns)
+
+        # Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.
+        synth = GSDSynthesizer(1000000.0, 1e-5, verbose=True)
+        synth.fit(df,  meta_data=col_bounds)
+
+        max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+        assert max_error < 0.001
+
+    def test_3d_continuous(self):
+
+
+        meta_data = {'R1': {'type': 'float', 'lower':0, 'upper': 1}, 'R2': {'type': 'float', 'lower': 0, 'upper': 1},
+                     'R3': {'type': 'float', 'lower': 0, 'upper': 1}}
+
+        N = 10
+        data_array = {
+            'R1': 0.37 * np.ones(N),
+            'R2': np.concatenate([0.64 * np.ones(N//2), np.zeros(N//2)]),
+            'R3': np.concatenate([0.08 * np.ones(N//5), 0.99 * np.ones(4*N//5)]),
+        }
+        df = pd.DataFrame(data_array)
+
+        # Since we are passing the data bounds, we do not need to provide privacy budget for preprocessing.
+        print('Mutate only:')
+        synth = GSDSynthesizer(1000000.0, 1e-5, verbose=True)
+        synth.fit(df, meta_data=meta_data)
+
+        max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+        print(max_error)
+        assert max_error < 0.001
+
+
+    def test_2d_ordinal(self):
+        rng = np.random.default_rng(0)
+        columns = ['O1', 'O2']
+        col_bounds = {'O1': {'type': 'int', 'lower':0, 'upper': 100}, 'O2': {'type': 'int', 'lower': 0, 'upper': 100}}
+        N = 10
+        data_array = np.column_stack([
+            10 * np.ones(N),
+            np.concatenate([rng.integers(0, 100, N//2), np.zeros(N//2)]),
+            ])
+        df = pd.DataFrame(data_array, columns=columns)
+        synth = GSDSynthesizer(1000000.0, 1e-5, verbose=True)
+        synth.fit(df, ordinal_columns=columns, meta_data=col_bounds)
+        max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+        print(f'max_error = {max_error:.3f}')
+        assert max_error < 0.001
+
+    def test_categorical_ordinal(self):
+        rng = np.random.default_rng(1)
+        columns = ['O1', 'Cat1', 'Cat2']
+        col_bounds = {'O1': {'type': 'int', 'lower':0, 'upper': 100}}
+        N = 10
+        data_array = {
+            'O1': np.concatenate([rng.integers(1, 100, 3*N//5), np.zeros(2*N//5)]).astype(int), # Ordinal values
+            'Cat1': np.concatenate([rng.integers(1, 3, N//2), np.zeros(N//2)]).astype(int).astype(str),   # Categorical values
+            'Cat2': np.concatenate([rng.integers(1, 3, N//2), np.zeros(N//2)]).astype(int).astype(str),   # Categorical values
+        }
+        df = pd.DataFrame(data_array)
+        synth = GSDSynthesizer(1000000.0, 1e-5, verbose=True)
+        synth.fit(df, ordinal_columns=['O1'], categorical_columns=['Cat1', 'Cat2'], meta_data=col_bounds)
+
+        max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+        print(f'max_error = {max_error:.3f}')
+        assert max_error < 0.001
+
+
+
+    def test_categorical_continuous(self):
+        rng = np.random.default_rng(1)
+        columns = ['Cont1', 'Cont2', 'Cat1']
+        col_bounds = {'Cont1': {'lower':0, 'upper': 1}, 'Cont2': {'lower':0, 'upper': 10}}
+        N = 10
+        data_array = {
+            'Cont1':np.concatenate([rng.normal(0.5, 0.1, 3*N//5), 0.2 * np.ones(2*N//5)]),
+            'Cont2':np.concatenate([rng.normal(5, 2, 3*N//5), 2 * np.ones(2*N//5)]),
+            'Cat1':np.concatenate([rng.integers(1, 3, N//2), np.zeros(N//2)]).astype(int).astype(str),   # Categorical values
+        }
+        df = pd.DataFrame(data_array, columns=columns)
+        synth = GSDSynthesizer(1000000.0, 1e-5, verbose=True)
+        synth.fit(df, continuous_columns=['Cont1', 'Cont2'], categorical_columns=['Cat1'], meta_data=col_bounds)
+
+        max_error = np.abs(synth.stat_fn(synth.data.to_numpy()) - synth.stat_fn(synth.sync_data.to_numpy())).max()
+        print(f'max_error = {max_error:.3f}')
+        assert max_error < 0.001
+
+if __name__ == '__main__':
+    unittest.main()
+
+
diff --git a/synth/snsynth/gsd/utils/test/test_statistics.py b/synth/snsynth/gsd/utils/test/test_statistics.py
new file mode 100644
index 00000000..ce05fa3a
--- /dev/null
+++ b/synth/snsynth/gsd/utils/test/test_statistics.py
@@ -0,0 +1,80 @@
+import subprocess
+import os
+import numpy as np
+import pandas as pd
+import jax.numpy as jnp
+# from snsynth.gsd import GSDSynthesizer
+from snsynth.gsd.utils.dataset_jax import Dataset, Domain
+from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles
+
+from snsynth.utils import cdp_rho
+
+class TestStatistics:
+
+    def test_quantiles(self):
+
+        meta_data = {'O1': {'type': 'int', 'size': 10000}}
+
+        values = np.concatenate((np.zeros(910).astype(int), np.random.randint(0, 10000, size=(90, ))))
+        df = pd.DataFrame({'O1': values})
+        # synth = GSDSynthesizer(10000.0, 1e-5, verbose=True)
+
+        domain = Domain(config=meta_data)
+        data = Dataset(df, domain)
+
+        # data = synth._get_data(df, meta_data=meta_data)
+
+
+        bin_edges = _get_bin_edges(domain=data.domain, tree_height=20)
+        _, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=None,
+                                                      store_marginal_stats=True,
+                                                      verbose=True)
+
+        approx_quantiles, densities, threshold, threshold_density = get_quantiles(marginals_info[('O1',)], num_quantiles=100)
+
+
+        # assert densities == [0, 0.91, 0.96]
+        print(approx_quantiles)
+        print(densities)
+        print()
+
+
+
+
+    def test_private_quantiles(self):
+
+        meta_data = {'O1': {'type': 'int', 'size': 10000}}
+
+        values = np.concatenate((np.zeros(910).astype(int), np.random.randint(0, 10000, size=(90, ))))
+        df = pd.DataFrame({'O1': values})
+        # synth = GSDSynthesizer(10000.0, 1e-5, verbose=True)
+
+        domain = Domain(config=meta_data)
+        data = Dataset(df, domain)
+
+        # data = synth._get_data(df, meta_data=meta_data)
+
+
+        bin_edges = _get_bin_edges(domain=data.domain, tree_height=14)
+
+        rho = cdp_rho(1.0, 1e-9)
+        print(f'\nrho = {rho}')
+        _, _, marginals_info = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges, rho=rho,
+                                                      store_marginal_stats=True,
+                                                      verbose=True)
+
+        print('=========')
+        print(marginals_info['stat'][0])
+        print('=========')
+        print(marginals_info['stat'][1])
+        print('=========')
+        print('=========')
+
+        approx_quantiles, densities, threshold, threshold_density = get_quantiles(marginals_info[('O1',)], num_quantiles=100)
+
+
+        # assert densities == [0, 0.91, 0.96]
+        print(f'Num quantiles = {len(approx_quantiles)}')
+        print(approx_quantiles)
+        print(densities)
+        print(np.diff(densities))
diff --git a/synth/snsynth/gsd/utils/utils.py b/synth/snsynth/gsd/utils/utils.py
new file mode 100644
index 00000000..5d63fbe3
--- /dev/null
+++ b/synth/snsynth/gsd/utils/utils.py
@@ -0,0 +1,10 @@
+import numpy as np
+
+def get_sigma(rho: float,  sensitivity: float) -> float:
+    if rho is None:
+        return 0.0
+    return np.sqrt(sensitivity**2 / rho)
+
+def _divide_privacy_budget(rho: float, t: int) -> float:
+    if rho is None: return None
+    return rho / t
diff --git a/synth/snsynth/transform/__init__.py b/synth/snsynth/transform/__init__.py
index a8227d85..713ef830 100644
--- a/synth/snsynth/transform/__init__.py
+++ b/synth/snsynth/transform/__init__.py
@@ -2,6 +2,7 @@
 from .onehot import OneHotEncoder
 from .label import LabelTransformer
 from .minmax import MinMaxTransformer
+from .ordinal import OrdinalTransformer
 from .bin import BinTransformer
 from .chain import ChainTransformer
 from .log import LogTransformer
@@ -15,8 +16,9 @@
     "TableTransformer", 
     "OneHotEncoder", 
     "LabelTransformer", 
-    "MinMaxTransformer", 
-    "BinTransformer", 
+    "MinMaxTransformer",
+    "OrdinalTransformer",
+    "BinTransformer",
     "ChainTransformer", 
     "LogTransformer",
     "StandardScaler",
diff --git a/synth/snsynth/transform/ordinal.py b/synth/snsynth/transform/ordinal.py
new file mode 100644
index 00000000..5fd35c17
--- /dev/null
+++ b/synth/snsynth/transform/ordinal.py
@@ -0,0 +1,93 @@
+from snsynth.transform.definitions import ColumnType
+from .base import CachingColumnTransformer
+from snsql.sql._mechanisms.approx_bounds import approx_bounds
+from snsql.sql.privacy import Privacy
+import numpy as np
+
+class OrdinalTransformer(CachingColumnTransformer):
+    """Transforms a column of values to scale between -1.0 and +1.0.
+
+    :param lower: The minimum value to scale to.
+    :param upper: The maximum value to scale to.
+    :param negative: If True, scale between -1.0 and 1.0.  Otherwise, scale between 0.0 and 1.0.
+    :param epsilon: The privacy budget to use to infer bounds, if none provided.
+    :param nullable: If null values are expected, a second output will be generated indicating null.
+    :param odometer: The optional odometer to use to track privacy budget.
+    """
+    def __init__(self, *, lower=None, upper=None, epsilon=0.0, nullable=False, odometer=None):
+        self.lower = lower
+        self.upper = upper
+        self.epsilon = epsilon
+        self.budget_spent = []
+        self.nullable = nullable
+        self.odometer = odometer
+        super().__init__()
+    @property
+    def output_type(self):
+        return ColumnType.ORDINAL
+    @property
+    def needs_epsilon(self):
+        return self.lower is None or self.upper is None
+
+    @property
+    def cardinality(self):
+        return [self.fit_upper - self.fit_lower + 1]
+
+    def allocate_privacy_budget(self, epsilon, odometer):
+        self.epsilon = epsilon
+        self.odometer = odometer
+    def _fit_finish(self):
+        if self.epsilon is not None and self.epsilon > 0.0 and (self.lower is None or self.upper is None):
+            self._fit_vals = [v for v in self._fit_vals if v is not None and not (isinstance(v, float) and np.isnan(v))]
+            if self.odometer is not None:
+                self.odometer.spend(Privacy(epsilon=self.epsilon, delta=0.0))
+            self.fit_lower, self.fit_upper = approx_bounds(self._fit_vals, self.epsilon)
+            self.budget_spent.append(self.epsilon)
+            if self.fit_lower is None or self.fit_upper is None:
+                raise ValueError("OrdinalTransformer could not find bounds.")
+        elif self.lower is None or self.upper is None:
+            raise ValueError("OrdinalTransformer requires either epsilon or min and max.")
+        else:
+            self.fit_lower = self.lower
+            self.fit_upper = self.upper
+        self._fit_complete = True
+        if self.nullable:
+            self.output_width = 2
+        else:
+            self.output_width = 1
+    def _clear_fit(self):
+        self._reset_fit()
+        self.fit_lower = None
+        self.fit_upper = None
+        # if bounds provided, we can immediately use without fitting
+        if self.lower and self.upper:
+            self._fit_complete = True
+            if self.nullable:
+                self.output_width = 2
+            else:
+                self.output_width = 1
+            self.fit_lower = self.lower
+            self.fit_upper = self.upper
+    def _transform(self, val):
+        if not self.fit_complete:
+            raise ValueError("OrdinalTransformer has not been fit yet.")
+        if self.nullable and (val is None or isinstance(val, float) and np.isnan(val)):
+            return (0.0, 1)
+        else:
+            val = self.fit_lower if val < self.fit_lower else val
+            val = self.fit_upper if val > self.fit_upper else val
+            val = (val - self.fit_lower)
+        if self.nullable:
+            return (val, 0)
+        else:
+            return val
+    def _inverse_transform(self, val):
+        if not self.fit_complete:
+            raise ValueError("OrdinalTransformer has not been fit yet.")
+        if self.nullable:
+            v, n = val
+            val = v
+            if n == 1:
+                return None
+        val = val + self.fit_lower
+        return np.clip(val, self.fit_lower, self.fit_upper)
diff --git a/synth/tests/test_gsd.py b/synth/tests/test_gsd.py
new file mode 100644
index 00000000..c164528c
--- /dev/null
+++ b/synth/tests/test_gsd.py
@@ -0,0 +1,262 @@
+import subprocess
+import os
+import numpy as np
+import pandas as pd
+import jax.numpy as jnp
+from snsynth.gsd import GSDSynthesizer
+from snsynth.gsd.utils import Dataset, Domain
+from snsynth.gsd.utils.statistics import _get_mixed_marginal_fn, _get_bin_edges, _get_density_fn, get_quantiles
+
+"""
+TODO:
+Test categorical crossover.
+Implement  Quantile search
+Estimate quantiles using post processing. 
+Implement swap genetic operator
+"""
+git_root_dir = subprocess.check_output("git rev-parse --show-toplevel".split(" ")).decode("utf-8").strip()
+meta_path = os.path.join(git_root_dir, os.path.join("datasets", "PUMS_pid.yaml"))
+csv_path = os.path.join(git_root_dir, os.path.join("datasets", "PUMS_pid.csv"))
+# csv_path = os.path.join(git_root_dir, os.path.join("datasets", "PUMS.csv"))
+
+# df = pd.read_csv(csv_path, index_col=None)
+# df = df.drop(["income"], axis=1)
+# nf = df.to_numpy().astype(int)
+#
+# test_data = np.array([[1,1,1],[2,2,2],[3,3,3]])
+#
+# test_histogram = [[[1., 0., 0.],
+#         [0., 1., 0.],
+#         [0., 0., 1.]],
+#         [[1., 0., 0.],
+#         [0., 1., 0.],
+#         [0., 0., 1.]],
+#         [[1., 0., 0.],
+#         [0., 1., 0.],
+#         [0., 0., 1.]]]
+#
+# test_histogram_dims = (3,3,3)
+
+
+def get_simple_mixed_data():
+    columns = ['R1', 'R2', 'C1', 'O1', 'C2']
+
+    data_array = [
+        [0.01, 1.1, 'Cat',  0, 0],
+        [0.06, 2.8, 'Cat',  4, 0],
+        [0.09, 0.2, 'Dog',  4, 1],
+        [0.02, 2.3, 'Cat',  0, 0],
+        [0.11, 0.1, 'Dog',  9, 0],
+        [0.18, 7.2, 'Bird', 4, 1],
+        [0.10, 0.9, 'Fish', 4, 0],
+    ]
+
+    return data_array, columns
+
+
+def get_simple_cat_data():
+    columns = ['C1', 'C2', 'C3', 'C4']
+
+    data_array = [
+        [0, 0, 0, 0],
+        [0, 0, 0, 0],
+        [1, 0, 2, 2],
+        [0, 0, 0, 0],
+        [0, 0, 1, 1],
+        [1, 0, 1, 1],
+        [0, 0, 2, 2],
+    ]
+
+    return data_array, columns
+class TestGSD:
+
+    def test_infer_columns(self):
+
+        cont_colums = ['R1', 'R2']
+        cat_colums = ['C1']
+        ord_colums = ['O1']
+
+        data_array = [
+            [0.01, 0.4, 'Cat', 0],
+            [0.06, 0.9, 'Cat', 4],
+            [0.09, 0.3, 'Dog', 4],
+            [0.02, 0.3, 'Cat', 0],
+            [0.11, 0.1, 'Dog', 9],
+            [0.18, 0.2, 'Bird', 4],
+            [0.10, 0.8, 'Fish', 4],
+        ]
+        synth = GSDSynthesizer(3000.0, 1e-5)
+
+        # synth.fit(data_array, preprocessor_eps=1000)
+        synth._get_data(data_array, preprocessor_eps=1000)
+        assert synth.categorical_columns == [2]
+        assert synth.ordinal_columns == [3]
+        assert synth.continuous_columns == [0, 1]
+
+        df = pd.DataFrame(data_array, columns=cont_colums + cat_colums + ord_colums)
+        synth._get_data(df, preprocessor_eps=1000)
+
+        assert synth.categorical_columns == ['C1']
+        assert synth.ordinal_columns == ['O1']
+        assert synth.continuous_columns == ['R1', 'R2']
+
+        # Pass data bounds directly
+    def test_mixed_columns_w_known_bounds(self):
+        columns = ['R1', 'R2', 'C1', 'O1', 'C2']
+
+        meta_data = {
+            'C1': {'type': 'string'},
+            'C2': {'type': 'string'},
+            'R1': {'type': 'float', 'lower':0, 'upper': 1},
+            'R2': {'type': 'float', 'lower': 0, 'upper': 10},
+            'O1': {'type': 'int', 'lower': 0, 'upper': 100},
+        }
+
+        data_array = [
+            [0.01, 1.1, 'Cat',  0, 0],
+            [0.06, 2.8, 'Cat',  4, 0],
+            [0.09, 0.2, 'Dog',  4, 1],
+            [0.02, 2.3, 'Cat',  0, 0],
+            [0.11, 0.1, 'Dog',  9, 1],
+            [0.18, 7.2, 'Bird', 4, 1],
+            [0.12, 0.9, 'Fish', 8, 0],
+            [0.13, 0.9, 'Fish', 8, 0],
+            [0.15, 0.9, 'Cat',  4, 0],
+            [0.14, 0.9, 'Fish', 8, 0],
+        ]
+        df = pd.DataFrame(data_array, columns=columns)
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+
+        assert synth.categorical_columns == ['C1', 'C2']
+        assert synth.ordinal_columns == ['O1']
+        assert synth.continuous_columns == ['R1', 'R2']
+
+        assert  data.domain.get_categorical_cols()== ['C1', 'C2']
+        assert  data.domain.get_ordinal_cols()== ['O1']
+        assert  data.domain.get_continuous_cols()== ['R1', 'R2']
+
+
+
+    ## Test statistics function
+
+    def test_stats_1d_real(self):
+
+        meta_data = {'R1': {'type': 'float', 'lower':0, 'upper': 1}}
+
+        N = 1000
+        df = pd.DataFrame({'R1':0.37 * np.ones(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+        df = pd.DataFrame({'R1': np.ones(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+
+        df = pd.DataFrame({'R1': np.zeros(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+
+
+    def test_stats_1d_ordinal(self):
+
+        meta_data = {'R1': {'type': 'int', 'lower':0, 'upper': 100}}
+
+        N = 1000
+        df = pd.DataFrame({'R1':37 * np.ones(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+        df = pd.DataFrame({'R1': 100 * np.ones(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+
+        df = pd.DataFrame({'R1': np.zeros(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+
+    def test_stats_2d_real(self):
+
+        meta_data = {'R1': {'type': 'float', 'lower':0, 'upper': 1}, 'R2': {'type': 'float', 'lower':0, 'upper': 1}}
+
+        N = 1000
+        df = pd.DataFrame({'R1': 0.37 * np.ones(N), 'R2': 0 * np.ones(N)})
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error < 0.0001
+
+    def test_stats(self):
+
+        meta_data = {'R1': {'lower':0, 'upper': 1}, 'R2': {'lower': 0, 'upper': 1}, 'R3': {'lower': 0, 'upper': 1}}
+
+        N = 1000
+        data_array = {
+            'R1':0.37 * np.ones(N),
+            'R2':np.concatenate([0.64 * np.ones(N//2), np.zeros(N//2)]),
+            'R3':np.concatenate([0.08 * np.ones(N//5), 0.99 * np.ones(4*N//5)]),
+        }
+        df = pd.DataFrame(data_array)
+        synth = GSDSynthesizer(10000000.0, 1e-5, verbose=True)
+        data = synth._get_data(df, meta_data=meta_data)
+        priv_stat_ans, stat_fn = synth.get_statistics(data)
+        max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+        assert max_error<0.0001
+
+
+    def test_stats_1d(self):
+        N = 1000
+
+        # Data 1
+        df = pd.DataFrame({'R1': 0.37 * np.ones(N)})
+        data1 = Dataset(df, Domain({'R1': {'type': 'float', 'size': 1}}))
+
+        # Data 2
+        df = pd.DataFrame({'R1': np.ones(N)})
+        data2 = Dataset(df, Domain(config={'R1': {'type': 'float', 'size': 1}}))
+
+        # Data 3
+        df = pd.DataFrame({'R1': np.zeros(N)})
+        data3 = Dataset(df, Domain(config={'R1': {'type': 'float', 'size': 1}}))
+
+        # Data 4: ordinals
+        df = pd.DataFrame({'R1': np.zeros(N).astype(int)})
+        data4 = Dataset(df, Domain(config={'R1': {'type': 'int', 'size': 1000}}))
+
+        # Data 5: ordinals
+        df = pd.DataFrame({'O1': 1000 * np.ones(N).astype(int)})
+        data5 = Dataset(df, Domain(config={'O1': {'type': 'int', 'size': 1000}}))
+
+        for i, data in enumerate([data1, data2, data3, data4, data5]):
+            print(f'Test data{i}')
+            # numeric = data.domain.get_ordinal_cols() + data.domain.get_continuous_cols()
+            bin_edges = _get_bin_edges(domain=data.domain, tree_height=10)
+            priv_stat_ans, stat_fn = _get_mixed_marginal_fn(data, k=1, bin_edges=bin_edges,
+                                                            rho=None,
+                                                            verbose=True)
+            priv_stat_ans = jnp.array(priv_stat_ans)
+            max_error = np.abs(priv_stat_ans - stat_fn(data.to_numpy())).max()
+            assert max_error < 0.0001
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