County_scatter_chart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import altair as alt\n",
    "import sqlite3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/incarceration_trends_w_percs.csv', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>yfips</th>\n",
       "      <th>year</th>\n",
       "      <th>fips</th>\n",
       "      <th>state</th>\n",
       "      <th>county_name</th>\n",
       "      <th>total_pop</th>\n",
       "      <th>total_pop_15to64</th>\n",
       "      <th>female_pop_15to64</th>\n",
       "      <th>male_pop_15to64</th>\n",
       "      <th>asian_pop_15to64</th>\n",
       "      <th>black_pop_15to64</th>\n",
       "      <th>latino_pop_15to64</th>\n",
       "      <th>native_pop_15to64</th>\n",
       "      <th>other_pop_15to64</th>\n",
       "      <th>white_pop_15to64</th>\n",
       "      <th>urbanicity</th>\n",
       "      <th>region</th>\n",
       "      <th>division</th>\n",
       "      <th>commuting_zone</th>\n",
       "      <th>metro_area</th>\n",
       "      <th>land_area</th>\n",
       "      <th>total_jail_adm</th>\n",
       "      <th>total_jail_adm_dcrp</th>\n",
       "      <th>female_jail_adm_dcrp</th>\n",
       "      <th>male_jail_adm_dcrp</th>\n",
       "      <th>total_jail_pop</th>\n",
       "      <th>female_jail_pop</th>\n",
       "      <th>male_jail_pop</th>\n",
       "      <th>asian_jail_pop</th>\n",
       "      <th>black_jail_pop</th>\n",
       "      <th>latino_jail_pop</th>\n",
       "      <th>native_jail_pop</th>\n",
       "      <th>white_jail_pop</th>\n",
       "      <th>total_jail_pretrial</th>\n",
       "      <th>female_jail_pretrial</th>\n",
       "      <th>male_jail_pretrial</th>\n",
       "      <th>jail_from_state_prison</th>\n",
       "      <th>jail_from_other_state_prison</th>\n",
       "      <th>jail_from_state_jail</th>\n",
       "      <th>jail_from_other_state_jail</th>\n",
       "      <th>jail_from_fed</th>\n",
       "      <th>jail_from_ice</th>\n",
       "      <th>total_jail_pop_dcrp</th>\n",
       "      <th>female_jail_pop_dcrp</th>\n",
       "      <th>male_jail_pop_dcrp</th>\n",
       "      <th>total_prison_pop</th>\n",
       "      <th>female_prison_pop</th>\n",
       "      <th>male_prison_pop</th>\n",
       "      <th>asian_prison_pop</th>\n",
       "      <th>black_prison_pop</th>\n",
       "      <th>latino_prison_pop</th>\n",
       "      <th>native_prison_pop</th>\n",
       "      <th>other_prison_pop</th>\n",
       "      <th>white_prison_pop</th>\n",
       "      <th>total_prison_adm</th>\n",
       "      <th>female_prison_adm</th>\n",
       "      <th>male_prison_adm</th>\n",
       "      <th>asian_prison_adm</th>\n",
       "      <th>black_prison_adm</th>\n",
       "      <th>latino_prison_adm</th>\n",
       "      <th>native_prison_adm</th>\n",
       "      <th>other_prison_adm</th>\n",
       "      <th>white_prison_adm</th>\n",
       "      <th>num_facilites</th>\n",
       "      <th>num_employees</th>\n",
       "      <th>confined_pop</th>\n",
       "      <th>capacity</th>\n",
       "      <th>ucr_population</th>\n",
       "      <th>index_crime</th>\n",
       "      <th>violent_crime</th>\n",
       "      <th>property_crime</th>\n",
       "      <th>murder_crime</th>\n",
       "      <th>rape_crime</th>\n",
       "      <th>robbery_crime</th>\n",
       "      <th>agr_assault_crime</th>\n",
       "      <th>burglary_crime</th>\n",
       "      <th>larceny_crime</th>\n",
       "      <th>mv_theft_crime</th>\n",
       "      <th>arson_crime</th>\n",
       "      <th>perc_white_total_pop</th>\n",
       "      <th>perc_black_total_pop</th>\n",
       "      <th>perc_white_jail_pop</th>\n",
       "      <th>perc_black_jail_pop</th>\n",
       "      <th>perc_white_prison_pop</th>\n",
       "      <th>perc_black_prison_pop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>197001001</td>\n",
       "      <td>1970</td>\n",
       "      <td>1001</td>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>24661</td>\n",
       "      <td>14154</td>\n",
       "      <td>7293</td>\n",
       "      <td>6861</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3413</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10726</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>South</td>\n",
       "      <td>East South Central</td>\n",
       "      <td>60.0</td>\n",
       "      <td>33860.0</td>\n",
       "      <td>594.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.757807</td>\n",
       "      <td>0.241133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>197101001</td>\n",
       "      <td>1971</td>\n",
       "      <td>1001</td>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>25503</td>\n",
       "      <td>14765</td>\n",
       "      <td>7585</td>\n",
       "      <td>7180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3451</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>11290</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>South</td>\n",
       "      <td>East South Central</td>\n",
       "      <td>60.0</td>\n",
       "      <td>33860.0</td>\n",
       "      <td>594.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.764646</td>\n",
       "      <td>0.233728</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>197201001</td>\n",
       "      <td>1972</td>\n",
       "      <td>1001</td>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>27156</td>\n",
       "      <td>15939</td>\n",
       "      <td>8168</td>\n",
       "      <td>7771</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>12283</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>South</td>\n",
       "      <td>East South Central</td>\n",
       "      <td>60.0</td>\n",
       "      <td>33860.0</td>\n",
       "      <td>594.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.770626</td>\n",
       "      <td>0.227430</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>197301001</td>\n",
       "      <td>1973</td>\n",
       "      <td>1001</td>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>28453</td>\n",
       "      <td>16906</td>\n",
       "      <td>8651</td>\n",
       "      <td>8255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3747</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>13118</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>South</td>\n",
       "      <td>East South Central</td>\n",
       "      <td>60.0</td>\n",
       "      <td>33860.0</td>\n",
       "      <td>594.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.775938</td>\n",
       "      <td>0.221637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>197401001</td>\n",
       "      <td>1974</td>\n",
       "      <td>1001</td>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>29261</td>\n",
       "      <td>17578</td>\n",
       "      <td>8992</td>\n",
       "      <td>8586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>13738</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>South</td>\n",
       "      <td>East South Central</td>\n",
       "      <td>60.0</td>\n",
       "      <td>33860.0</td>\n",
       "      <td>594.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.781545</td>\n",
       "      <td>0.215667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       yfips  year  fips state     county_name  total_pop  total_pop_15to64  \\\n",
       "0  197001001  1970  1001    AL  Autauga County      24661             14154   \n",
       "1  197101001  1971  1001    AL  Autauga County      25503             14765   \n",
       "2  197201001  1972  1001    AL  Autauga County      27156             15939   \n",
       "3  197301001  1973  1001    AL  Autauga County      28453             16906   \n",
       "4  197401001  1974  1001    AL  Autauga County      29261             17578   \n",
       "\n",
       "   female_pop_15to64  male_pop_15to64  asian_pop_15to64  black_pop_15to64  \\\n",
       "0               7293             6861               NaN              3413   \n",
       "1               7585             7180               NaN              3451   \n",
       "2               8168             7771               NaN              3625   \n",
       "3               8651             8255               NaN              3747   \n",
       "4               8992             8586               NaN              3791   \n",
       "\n",
       "   latino_pop_15to64  native_pop_15to64  other_pop_15to64  white_pop_15to64  \\\n",
       "0                NaN                NaN              15.0             10726   \n",
       "1                NaN                NaN              24.0             11290   \n",
       "2                NaN                NaN              31.0             12283   \n",
       "3                NaN                NaN              41.0             13118   \n",
       "4                NaN                NaN              49.0             13738   \n",
       "\n",
       "  urbanicity region            division  commuting_zone  metro_area  \\\n",
       "0  small/mid  South  East South Central            60.0     33860.0   \n",
       "1  small/mid  South  East South Central            60.0     33860.0   \n",
       "2  small/mid  South  East South Central            60.0     33860.0   \n",
       "3  small/mid  South  East South Central            60.0     33860.0   \n",
       "4  small/mid  South  East South Central            60.0     33860.0   \n",
       "\n",
       "   land_area  total_jail_adm  total_jail_adm_dcrp  female_jail_adm_dcrp  \\\n",
       "0    594.449             0.0                  NaN                   NaN   \n",
       "1    594.449             0.0                  NaN                   NaN   \n",
       "2    594.449             0.0                  NaN                   NaN   \n",
       "3    594.449             0.0                  NaN                   NaN   \n",
       "4    594.449             0.0                  NaN                   NaN   \n",
       "\n",
       "   male_jail_adm_dcrp  total_jail_pop  female_jail_pop  male_jail_pop  \\\n",
       "0                 NaN             0.0              0.0            0.0   \n",
       "1                 NaN             0.0              0.0            0.0   \n",
       "2                 NaN             0.0              0.0            0.0   \n",
       "3                 NaN             0.0              0.0            0.0   \n",
       "4                 NaN             0.0              0.0            0.0   \n",
       "\n",
       "   asian_jail_pop  black_jail_pop  latino_jail_pop  native_jail_pop  \\\n",
       "0             NaN             NaN              NaN              NaN   \n",
       "1             NaN             NaN              NaN              NaN   \n",
       "2             NaN             NaN              NaN              NaN   \n",
       "3             NaN             NaN              NaN              NaN   \n",
       "4             NaN             NaN              NaN              NaN   \n",
       "\n",
       "   white_jail_pop  total_jail_pretrial  female_jail_pretrial  \\\n",
       "0             NaN                  0.0                   0.0   \n",
       "1             NaN                  0.0                   0.0   \n",
       "2             NaN                  0.0                   0.0   \n",
       "3             NaN                  0.0                   0.0   \n",
       "4             NaN                  0.0                   0.0   \n",
       "\n",
       "   male_jail_pretrial  jail_from_state_prison  jail_from_other_state_prison  \\\n",
       "0                 0.0                     0.0                           0.0   \n",
       "1                 0.0                     0.0                           0.0   \n",
       "2                 0.0                     0.0                           0.0   \n",
       "3                 0.0                     0.0                           0.0   \n",
       "4                 0.0                     0.0                           0.0   \n",
       "\n",
       "   jail_from_state_jail  jail_from_other_state_jail  jail_from_fed  \\\n",
       "0                   0.0                         0.0            0.0   \n",
       "1                   0.0                         0.0            0.0   \n",
       "2                   0.0                         0.0            0.0   \n",
       "3                   0.0                         0.0            0.0   \n",
       "4                   0.0                         0.0            0.0   \n",
       "\n",
       "   jail_from_ice  total_jail_pop_dcrp  female_jail_pop_dcrp  \\\n",
       "0            0.0                  NaN                   NaN   \n",
       "1            0.0                  NaN                   NaN   \n",
       "2            0.0                  NaN                   NaN   \n",
       "3            0.0                  NaN                   NaN   \n",
       "4            0.0                  NaN                   NaN   \n",
       "\n",
       "   male_jail_pop_dcrp  total_prison_pop  female_prison_pop  male_prison_pop  \\\n",
       "0                 NaN               NaN                NaN              NaN   \n",
       "1                 NaN               NaN                NaN              NaN   \n",
       "2                 NaN               NaN                NaN              NaN   \n",
       "3                 NaN               NaN                NaN              NaN   \n",
       "4                 NaN               NaN                NaN              NaN   \n",
       "\n",
       "   asian_prison_pop  black_prison_pop  latino_prison_pop  native_prison_pop  \\\n",
       "0               NaN               NaN                NaN                NaN   \n",
       "1               NaN               NaN                NaN                NaN   \n",
       "2               NaN               NaN                NaN                NaN   \n",
       "3               NaN               NaN                NaN                NaN   \n",
       "4               NaN               NaN                NaN                NaN   \n",
       "\n",
       "   other_prison_pop  white_prison_pop  total_prison_adm  female_prison_adm  \\\n",
       "0               NaN               NaN               NaN                NaN   \n",
       "1               NaN               NaN               NaN                NaN   \n",
       "2               NaN               NaN               NaN                NaN   \n",
       "3               NaN               NaN               NaN                NaN   \n",
       "4               NaN               NaN               NaN                NaN   \n",
       "\n",
       "   male_prison_adm  asian_prison_adm  black_prison_adm  latino_prison_adm  \\\n",
       "0              NaN               NaN               NaN                NaN   \n",
       "1              NaN               NaN               NaN                NaN   \n",
       "2              NaN               NaN               NaN                NaN   \n",
       "3              NaN               NaN               NaN                NaN   \n",
       "4              NaN               NaN               NaN                NaN   \n",
       "\n",
       "   native_prison_adm  other_prison_adm  white_prison_adm  num_facilites  \\\n",
       "0                NaN               NaN               NaN            0.0   \n",
       "1                NaN               NaN               NaN            0.0   \n",
       "2                NaN               NaN               NaN            0.0   \n",
       "3                NaN               NaN               NaN            0.0   \n",
       "4                NaN               NaN               NaN            0.0   \n",
       "\n",
       "   num_employees  confined_pop  capacity  ucr_population  index_crime  \\\n",
       "0            0.0           0.0       0.0             NaN          NaN   \n",
       "1            0.0           0.0       0.0             NaN          NaN   \n",
       "2            0.0           0.0       0.0             NaN          NaN   \n",
       "3            0.0           0.0       0.0             NaN          NaN   \n",
       "4            0.0           0.0       0.0             NaN          NaN   \n",
       "\n",
       "   violent_crime  property_crime  murder_crime  rape_crime  robbery_crime  \\\n",
       "0            NaN             NaN           NaN         NaN            NaN   \n",
       "1            NaN             NaN           NaN         NaN            NaN   \n",
       "2            NaN             NaN           NaN         NaN            NaN   \n",
       "3            NaN             NaN           NaN         NaN            NaN   \n",
       "4            NaN             NaN           NaN         NaN            NaN   \n",
       "\n",
       "   agr_assault_crime  burglary_crime  larceny_crime  mv_theft_crime  \\\n",
       "0                NaN             NaN            NaN             NaN   \n",
       "1                NaN             NaN            NaN             NaN   \n",
       "2                NaN             NaN            NaN             NaN   \n",
       "3                NaN             NaN            NaN             NaN   \n",
       "4                NaN             NaN            NaN             NaN   \n",
       "\n",
       "   arson_crime  perc_white_total_pop  perc_black_total_pop  \\\n",
       "0          NaN              0.757807              0.241133   \n",
       "1          NaN              0.764646              0.233728   \n",
       "2          NaN              0.770626              0.227430   \n",
       "3          NaN              0.775938              0.221637   \n",
       "4          NaN              0.781545              0.215667   \n",
       "\n",
       "   perc_white_jail_pop  perc_black_jail_pop  perc_white_prison_pop  \\\n",
       "0                  NaN                  NaN                    NaN   \n",
       "1                  NaN                  NaN                    NaN   \n",
       "2                  NaN                  NaN                    NaN   \n",
       "3                  NaN                  NaN                    NaN   \n",
       "4                  NaN                  NaN                    NaN   \n",
       "\n",
       "   perc_black_prison_pop  \n",
       "0                    NaN  \n",
       "1                    NaN  \n",
       "2                    NaN  \n",
       "3                    NaN  \n",
       "4                    NaN  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "california = df[df['state'] == 'CA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "california_2015 = california[california['year']==2015]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yfips</th>\n",
       "      <th>year</th>\n",
       "      <th>fips</th>\n",
       "      <th>state</th>\n",
       "      <th>county_name</th>\n",
       "      <th>total_pop</th>\n",
       "      <th>total_pop_15to64</th>\n",
       "      <th>female_pop_15to64</th>\n",
       "      <th>male_pop_15to64</th>\n",
       "      <th>asian_pop_15to64</th>\n",
       "      <th>black_pop_15to64</th>\n",
       "      <th>latino_pop_15to64</th>\n",
       "      <th>native_pop_15to64</th>\n",
       "      <th>other_pop_15to64</th>\n",
       "      <th>white_pop_15to64</th>\n",
       "      <th>urbanicity</th>\n",
       "      <th>region</th>\n",
       "      <th>division</th>\n",
       "      <th>commuting_zone</th>\n",
       "      <th>metro_area</th>\n",
       "      <th>land_area</th>\n",
       "      <th>total_jail_adm</th>\n",
       "      <th>total_jail_adm_dcrp</th>\n",
       "      <th>female_jail_adm_dcrp</th>\n",
       "      <th>male_jail_adm_dcrp</th>\n",
       "      <th>total_jail_pop</th>\n",
       "      <th>female_jail_pop</th>\n",
       "      <th>male_jail_pop</th>\n",
       "      <th>asian_jail_pop</th>\n",
       "      <th>black_jail_pop</th>\n",
       "      <th>latino_jail_pop</th>\n",
       "      <th>native_jail_pop</th>\n",
       "      <th>white_jail_pop</th>\n",
       "      <th>total_jail_pretrial</th>\n",
       "      <th>female_jail_pretrial</th>\n",
       "      <th>male_jail_pretrial</th>\n",
       "      <th>jail_from_state_prison</th>\n",
       "      <th>jail_from_other_state_prison</th>\n",
       "      <th>jail_from_state_jail</th>\n",
       "      <th>jail_from_other_state_jail</th>\n",
       "      <th>jail_from_fed</th>\n",
       "      <th>jail_from_ice</th>\n",
       "      <th>total_jail_pop_dcrp</th>\n",
       "      <th>female_jail_pop_dcrp</th>\n",
       "      <th>male_jail_pop_dcrp</th>\n",
       "      <th>total_prison_pop</th>\n",
       "      <th>female_prison_pop</th>\n",
       "      <th>male_prison_pop</th>\n",
       "      <th>asian_prison_pop</th>\n",
       "      <th>black_prison_pop</th>\n",
       "      <th>latino_prison_pop</th>\n",
       "      <th>native_prison_pop</th>\n",
       "      <th>other_prison_pop</th>\n",
       "      <th>white_prison_pop</th>\n",
       "      <th>total_prison_adm</th>\n",
       "      <th>female_prison_adm</th>\n",
       "      <th>male_prison_adm</th>\n",
       "      <th>asian_prison_adm</th>\n",
       "      <th>black_prison_adm</th>\n",
       "      <th>latino_prison_adm</th>\n",
       "      <th>native_prison_adm</th>\n",
       "      <th>other_prison_adm</th>\n",
       "      <th>white_prison_adm</th>\n",
       "      <th>num_facilites</th>\n",
       "      <th>num_employees</th>\n",
       "      <th>confined_pop</th>\n",
       "      <th>capacity</th>\n",
       "      <th>ucr_population</th>\n",
       "      <th>index_crime</th>\n",
       "      <th>violent_crime</th>\n",
       "      <th>property_crime</th>\n",
       "      <th>murder_crime</th>\n",
       "      <th>rape_crime</th>\n",
       "      <th>robbery_crime</th>\n",
       "      <th>agr_assault_crime</th>\n",
       "      <th>burglary_crime</th>\n",
       "      <th>larceny_crime</th>\n",
       "      <th>mv_theft_crime</th>\n",
       "      <th>arson_crime</th>\n",
       "      <th>perc_white_total_pop</th>\n",
       "      <th>perc_black_total_pop</th>\n",
       "      <th>perc_white_jail_pop</th>\n",
       "      <th>perc_black_jail_pop</th>\n",
       "      <th>perc_white_prison_pop</th>\n",
       "      <th>perc_black_prison_pop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8834</th>\n",
       "      <td>201506001</td>\n",
       "      <td>2015</td>\n",
       "      <td>6001</td>\n",
       "      <td>CA</td>\n",
       "      <td>Alameda County</td>\n",
       "      <td>1611572</td>\n",
       "      <td>1120496</td>\n",
       "      <td>566492</td>\n",
       "      <td>554004</td>\n",
       "      <td>349561.0</td>\n",
       "      <td>134719</td>\n",
       "      <td>247838.0</td>\n",
       "      <td>4049.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>384329</td>\n",
       "      <td>urban</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>294.0</td>\n",
       "      <td>41860.0</td>\n",
       "      <td>737.307</td>\n",
       "      <td>49378.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2583.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>2324.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1296.0</td>\n",
       "      <td>647.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>426.0</td>\n",
       "      <td>2155.0</td>\n",
       "      <td>262.0</td>\n",
       "      <td>3344.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>723.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3762.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3655.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2499.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>749.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>727.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>476.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>71.0</td>\n",
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       "      <td>1209.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.342999</td>\n",
       "      <td>0.120232</td>\n",
       "      <td>0.164925</td>\n",
       "      <td>0.501742</td>\n",
       "      <td>0.095960</td>\n",
       "      <td>0.664274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8881</th>\n",
       "      <td>201506003</td>\n",
       "      <td>2015</td>\n",
       "      <td>6003</td>\n",
       "      <td>CA</td>\n",
       "      <td>Alpine County</td>\n",
       "      <td>1084</td>\n",
       "      <td>688</td>\n",
       "      <td>328</td>\n",
       "      <td>360</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>444</td>\n",
       "      <td>rural</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>211.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>738.340</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.645349</td>\n",
       "      <td>0.010174</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8928</th>\n",
       "      <td>201506005</td>\n",
       "      <td>2015</td>\n",
       "      <td>6005</td>\n",
       "      <td>CA</td>\n",
       "      <td>Amador County</td>\n",
       "      <td>36748</td>\n",
       "      <td>22959</td>\n",
       "      <td>10204</td>\n",
       "      <td>12755</td>\n",
       "      <td>400.0</td>\n",
       "      <td>767</td>\n",
       "      <td>3311.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18046</td>\n",
       "      <td>rural</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>211.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>594.572</td>\n",
       "      <td>1524.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3755.0</td>\n",
       "      <td>3614.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.786010</td>\n",
       "      <td>0.033407</td>\n",
       "      <td>0.724138</td>\n",
       "      <td>0.068966</td>\n",
       "      <td>0.567568</td>\n",
       "      <td>0.081081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8975</th>\n",
       "      <td>201506007</td>\n",
       "      <td>2015</td>\n",
       "      <td>6007</td>\n",
       "      <td>CA</td>\n",
       "      <td>Butte County</td>\n",
       "      <td>223629</td>\n",
       "      <td>148189</td>\n",
       "      <td>73632</td>\n",
       "      <td>74557</td>\n",
       "      <td>7876.0</td>\n",
       "      <td>3212</td>\n",
       "      <td>23112.0</td>\n",
       "      <td>2835.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111154</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>348.0</td>\n",
       "      <td>17020.0</td>\n",
       "      <td>1636.470</td>\n",
       "      <td>12328.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>578.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>515.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>905.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>853.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>605.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.750083</td>\n",
       "      <td>0.021675</td>\n",
       "      <td>0.726644</td>\n",
       "      <td>0.103806</td>\n",
       "      <td>0.668508</td>\n",
       "      <td>0.109392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9022</th>\n",
       "      <td>201506009</td>\n",
       "      <td>2015</td>\n",
       "      <td>6009</td>\n",
       "      <td>CA</td>\n",
       "      <td>Calaveras County</td>\n",
       "      <td>44677</td>\n",
       "      <td>27214</td>\n",
       "      <td>13592</td>\n",
       "      <td>13622</td>\n",
       "      <td>502.0</td>\n",
       "      <td>349</td>\n",
       "      <td>3246.0</td>\n",
       "      <td>477.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22640</td>\n",
       "      <td>rural</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>211.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1020.016</td>\n",
       "      <td>1809.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.831925</td>\n",
       "      <td>0.012824</td>\n",
       "      <td>0.755319</td>\n",
       "      <td>0.021277</td>\n",
       "      <td>0.822917</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9069</th>\n",
       "      <td>201506011</td>\n",
       "      <td>2015</td>\n",
       "      <td>6011</td>\n",
       "      <td>CA</td>\n",
       "      <td>Colusa County</td>\n",
       "      <td>21268</td>\n",
       "      <td>13476</td>\n",
       "      <td>6488</td>\n",
       "      <td>6988</td>\n",
       "      <td>257.0</td>\n",
       "      <td>186</td>\n",
       "      <td>7952.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4894</td>\n",
       "      <td>rural</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>348.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1150.713</td>\n",
       "      <td>1305.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.363164</td>\n",
       "      <td>0.013802</td>\n",
       "      <td>0.358974</td>\n",
       "      <td>0.064103</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9116</th>\n",
       "      <td>201506013</td>\n",
       "      <td>2015</td>\n",
       "      <td>6013</td>\n",
       "      <td>CA</td>\n",
       "      <td>Contra Costa County</td>\n",
       "      <td>1110971</td>\n",
       "      <td>738053</td>\n",
       "      <td>374570</td>\n",
       "      <td>363483</td>\n",
       "      <td>133367.0</td>\n",
       "      <td>72887</td>\n",
       "      <td>186062.0</td>\n",
       "      <td>3045.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>342692</td>\n",
       "      <td>suburban</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>294.0</td>\n",
       "      <td>41860.0</td>\n",
       "      <td>717.112</td>\n",
       "      <td>26296.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1392.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>1190.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>449.0</td>\n",
       "      <td>466.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1072.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1873.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1810.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>385.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>476.0</td>\n",
       "      <td>440.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.464319</td>\n",
       "      <td>0.098756</td>\n",
       "      <td>0.241379</td>\n",
       "      <td>0.322557</td>\n",
       "      <td>0.254138</td>\n",
       "      <td>0.471436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9163</th>\n",
       "      <td>201506015</td>\n",
       "      <td>2015</td>\n",
       "      <td>6015</td>\n",
       "      <td>CA</td>\n",
       "      <td>Del Norte County</td>\n",
       "      <td>27206</td>\n",
       "      <td>18085</td>\n",
       "      <td>7664</td>\n",
       "      <td>10421</td>\n",
       "      <td>632.0</td>\n",
       "      <td>926</td>\n",
       "      <td>3772.0</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11403</td>\n",
       "      <td>rural</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>615.0</td>\n",
       "      <td>18860.0</td>\n",
       "      <td>1006.228</td>\n",
       "      <td>2277.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3561.0</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.630523</td>\n",
       "      <td>0.051203</td>\n",
       "      <td>0.634409</td>\n",
       "      <td>0.010753</td>\n",
       "      <td>0.656863</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9210</th>\n",
       "      <td>201506017</td>\n",
       "      <td>2015</td>\n",
       "      <td>6017</td>\n",
       "      <td>CA</td>\n",
       "      <td>El Dorado County</td>\n",
       "      <td>183333</td>\n",
       "      <td>119339</td>\n",
       "      <td>59388</td>\n",
       "      <td>59951</td>\n",
       "      <td>6017.0</td>\n",
       "      <td>1382</td>\n",
       "      <td>14896.0</td>\n",
       "      <td>1275.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95769</td>\n",
       "      <td>suburban</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>211.0</td>\n",
       "      <td>40900.0</td>\n",
       "      <td>1707.842</td>\n",
       "      <td>6127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>384.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>399.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.802495</td>\n",
       "      <td>0.011580</td>\n",
       "      <td>0.817708</td>\n",
       "      <td>0.046875</td>\n",
       "      <td>0.796992</td>\n",
       "      <td>0.070175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9257</th>\n",
       "      <td>201506019</td>\n",
       "      <td>2015</td>\n",
       "      <td>6019</td>\n",
       "      <td>CA</td>\n",
       "      <td>Fresno County</td>\n",
       "      <td>963170</td>\n",
       "      <td>622763</td>\n",
       "      <td>308739</td>\n",
       "      <td>314024</td>\n",
       "      <td>66573.0</td>\n",
       "      <td>32815</td>\n",
       "      <td>321078.0</td>\n",
       "      <td>4883.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>197414</td>\n",
       "      <td>small/mid</td>\n",
       "      <td>West</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>187.0</td>\n",
       "      <td>23420.0</td>\n",
       "      <td>5958.101</td>\n",
       "      <td>29965.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2661.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>2215.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>391.0</td>\n",
       "      <td>1443.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>227.0</td>\n",
       "      <td>1792.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4203.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>4031.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>2285.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>785.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1302.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>819.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5405.0</td>\n",
       "      <td>2726.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.316997</td>\n",
       "      <td>0.052693</td>\n",
       "      <td>0.206689</td>\n",
       "      <td>0.146937</td>\n",
       "      <td>0.186771</td>\n",
       "      <td>0.206995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          yfips  year  fips state          county_name  total_pop  \\\n",
       "8834  201506001  2015  6001    CA       Alameda County    1611572   \n",
       "8881  201506003  2015  6003    CA        Alpine County       1084   \n",
       "8928  201506005  2015  6005    CA        Amador County      36748   \n",
       "8975  201506007  2015  6007    CA         Butte County     223629   \n",
       "9022  201506009  2015  6009    CA     Calaveras County      44677   \n",
       "9069  201506011  2015  6011    CA        Colusa County      21268   \n",
       "9116  201506013  2015  6013    CA  Contra Costa County    1110971   \n",
       "9163  201506015  2015  6015    CA     Del Norte County      27206   \n",
       "9210  201506017  2015  6017    CA     El Dorado County     183333   \n",
       "9257  201506019  2015  6019    CA        Fresno County     963170   \n",
       "\n",
       "      total_pop_15to64  female_pop_15to64  male_pop_15to64  asian_pop_15to64  \\\n",
       "8834           1120496             566492           554004          349561.0   \n",
       "8881               688                328              360              16.0   \n",
       "8928             22959              10204            12755             400.0   \n",
       "8975            148189              73632            74557            7876.0   \n",
       "9022             27214              13592            13622             502.0   \n",
       "9069             13476               6488             6988             257.0   \n",
       "9116            738053             374570           363483          133367.0   \n",
       "9163             18085               7664            10421             632.0   \n",
       "9210            119339              59388            59951            6017.0   \n",
       "9257            622763             308739           314024           66573.0   \n",
       "\n",
       "      black_pop_15to64  latino_pop_15to64  native_pop_15to64  \\\n",
       "8834            134719           247838.0             4049.0   \n",
       "8881                 7               66.0              155.0   \n",
       "8928               767             3311.0              435.0   \n",
       "8975              3212            23112.0             2835.0   \n",
       "9022               349             3246.0              477.0   \n",
       "9069               186             7952.0              187.0   \n",
       "9116             72887           186062.0             3045.0   \n",
       "9163               926             3772.0             1352.0   \n",
       "9210              1382            14896.0             1275.0   \n",
       "9257             32815           321078.0             4883.0   \n",
       "\n",
       "      other_pop_15to64  white_pop_15to64 urbanicity region division  \\\n",
       "8834               NaN            384329      urban   West  Pacific   \n",
       "8881               NaN               444      rural   West  Pacific   \n",
       "8928               NaN             18046      rural   West  Pacific   \n",
       "8975               NaN            111154  small/mid   West  Pacific   \n",
       "9022               NaN             22640      rural   West  Pacific   \n",
       "9069               NaN              4894      rural   West  Pacific   \n",
       "9116               NaN            342692   suburban   West  Pacific   \n",
       "9163               NaN             11403      rural   West  Pacific   \n",
       "9210               NaN             95769   suburban   West  Pacific   \n",
       "9257               NaN            197414  small/mid   West  Pacific   \n",
       "\n",
       "      commuting_zone  metro_area  land_area  total_jail_adm  \\\n",
       "8834           294.0     41860.0    737.307         49378.0   \n",
       "8881           211.0         NaN    738.340             0.0   \n",
       "8928           211.0         NaN    594.572          1524.0   \n",
       "8975           348.0     17020.0   1636.470         12328.0   \n",
       "9022           211.0         NaN   1020.016          1809.0   \n",
       "9069           348.0         NaN   1150.713          1305.0   \n",
       "9116           294.0     41860.0    717.112         26296.0   \n",
       "9163           615.0     18860.0   1006.228          2277.0   \n",
       "9210           211.0     40900.0   1707.842          6127.0   \n",
       "9257           187.0     23420.0   5958.101         29965.0   \n",
       "\n",
       "      total_jail_adm_dcrp  female_jail_adm_dcrp  male_jail_adm_dcrp  \\\n",
       "8834                  NaN                   NaN                 NaN   \n",
       "8881                  NaN                   NaN                 NaN   \n",
       "8928                  NaN                   NaN                 NaN   \n",
       "8975                  NaN                   NaN                 NaN   \n",
       "9022                  NaN                   NaN                 NaN   \n",
       "9069                  NaN                   NaN                 NaN   \n",
       "9116                  NaN                   NaN                 NaN   \n",
       "9163                  NaN                   NaN                 NaN   \n",
       "9210                  NaN                   NaN                 NaN   \n",
       "9257                  NaN                   NaN                 NaN   \n",
       "\n",
       "      total_jail_pop  female_jail_pop  male_jail_pop  asian_jail_pop  \\\n",
       "8834          2583.0            224.0         2324.0            65.0   \n",
       "8881             0.0              0.0            0.0             0.0   \n",
       "8928            87.0             17.0           68.0             1.0   \n",
       "8975           578.0             84.0          515.0            18.0   \n",
       "9022            94.0             19.0           62.0             1.0   \n",
       "9069            78.0             11.0           78.0             0.0   \n",
       "9116          1392.0            170.0         1190.0            13.0   \n",
       "9163            93.0             16.0           85.0             2.0   \n",
       "9210           384.0             67.0          318.0             1.0   \n",
       "9257          2661.0            308.0         2215.0           101.0   \n",
       "\n",
       "      black_jail_pop  latino_jail_pop  native_jail_pop  white_jail_pop  \\\n",
       "8834          1296.0            647.0             12.0           426.0   \n",
       "8881             0.0              0.0              0.0             0.0   \n",
       "8928             6.0              8.0              3.0            63.0   \n",
       "8975            60.0             65.0             31.0           420.0   \n",
       "9022             2.0              4.0              2.0            71.0   \n",
       "9069             5.0             54.0              2.0            28.0   \n",
       "9116           449.0            466.0             15.0           336.0   \n",
       "9163             1.0              8.0             17.0            59.0   \n",
       "9210            18.0             41.0              3.0           314.0   \n",
       "9257           391.0           1443.0             19.0           550.0   \n",
       "\n",
       "      total_jail_pretrial  female_jail_pretrial  male_jail_pretrial  \\\n",
       "8834               2155.0                 262.0              3344.0   \n",
       "8881                  0.0                   0.0                 0.0   \n",
       "8928                 28.0                   4.0                20.0   \n",
       "8975                350.0                  54.0               380.0   \n",
       "9022                 39.0                   3.0                49.0   \n",
       "9069                 23.0                   4.0                18.0   \n",
       "9116               1072.0                 201.0              1230.0   \n",
       "9163                  3.0                   5.0                36.0   \n",
       "9210                209.0                  23.0               131.0   \n",
       "9257               1709.0                 227.0              1792.0   \n",
       "\n",
       "      jail_from_state_prison  jail_from_other_state_prison  \\\n",
       "8834                    61.0                           3.0   \n",
       "8881                     0.0                           0.0   \n",
       "8928                     2.0                           0.0   \n",
       "8975                    22.0                           1.0   \n",
       "9022                     5.0                           1.0   \n",
       "9069                     1.0                           0.0   \n",
       "9116                     3.0                           5.0   \n",
       "9163                     2.0                           1.0   \n",
       "9210                   104.0                           0.0   \n",
       "9257                    45.0                          13.0   \n",
       "\n",
       "      jail_from_state_jail  jail_from_other_state_jail  jail_from_fed  \\\n",
       "8834                 723.0                       573.0          317.0   \n",
       "8881                   0.0                         0.0            0.0   \n",
       "8928                   3.0                         0.0            0.0   \n",
       "8975                   4.0                         1.0            2.0   \n",
       "9022                   2.0                         0.0            2.0   \n",
       "9069                   1.0                         0.0            8.0   \n",
       "9116                   2.0                         6.0          194.0   \n",
       "9163                   4.0                         0.0            1.0   \n",
       "9210                   4.0                         0.0            3.0   \n",
       "9257                  35.0                         6.0          175.0   \n",
       "\n",
       "      jail_from_ice  total_jail_pop_dcrp  female_jail_pop_dcrp  \\\n",
       "8834            0.0                  NaN                   NaN   \n",
       "8881            0.0                  NaN                   NaN   \n",
       "8928            0.0                  NaN                   NaN   \n",
       "8975            0.0                  NaN                   NaN   \n",
       "9022            0.0                  NaN                   NaN   \n",
       "9069            0.0                  NaN                   NaN   \n",
       "9116          188.0                  NaN                   NaN   \n",
       "9163            0.0                  NaN                   NaN   \n",
       "9210            0.0                  NaN                   NaN   \n",
       "9257           58.0                  NaN                   NaN   \n",
       "\n",
       "      male_jail_pop_dcrp  total_prison_pop  female_prison_pop  \\\n",
       "8834                 NaN            3762.0              107.0   \n",
       "8881                 NaN               NaN                NaN   \n",
       "8928                 NaN             111.0                NaN   \n",
       "8975                 NaN             905.0               52.0   \n",
       "9022                 NaN              96.0                5.0   \n",
       "9069                 NaN              63.0                NaN   \n",
       "9116                 NaN            1873.0               63.0   \n",
       "9163                 NaN             102.0                5.0   \n",
       "9210                 NaN             399.0               29.0   \n",
       "9257                 NaN            4203.0              172.0   \n",
       "\n",
       "      male_prison_pop  asian_prison_pop  black_prison_pop  latino_prison_pop  \\\n",
       "8834           3655.0              79.0            2499.0              649.0   \n",
       "8881              NaN               NaN               NaN                NaN   \n",
       "8928              NaN               NaN               9.0               23.0   \n",
       "8975            853.0              14.0              99.0              142.0   \n",
       "9022             91.0               NaN               0.0                9.0   \n",
       "9069              NaN               0.0               NaN               30.0   \n",
       "9116           1810.0              36.0             883.0              385.0   \n",
       "9163             97.0               0.0               NaN               10.0   \n",
       "9210            370.0               NaN              28.0               40.0   \n",
       "9257           4031.0              48.0             870.0             2285.0   \n",
       "\n",
       "      native_prison_pop  other_prison_pop  white_prison_pop  total_prison_adm  \\\n",
       "8834               22.0             138.0             361.0             749.0   \n",
       "8881                NaN               NaN               NaN               NaN   \n",
       "8928                7.0               9.0              63.0              35.0   \n",
       "8975               27.0              18.0             605.0             329.0   \n",
       "9022                6.0               2.0              79.0              48.0   \n",
       "9069                0.0               3.0              30.0              17.0   \n",
       "9116                9.0              79.0             476.0             440.0   \n",
       "9163               21.0               4.0              67.0              39.0   \n",
       "9210                4.0               9.0             318.0             136.0   \n",
       "9257               41.0             174.0             785.0            1400.0   \n",
       "\n",
       "      female_prison_adm  male_prison_adm  asian_prison_adm  black_prison_adm  \\\n",
       "8834               22.0            727.0              27.0             476.0   \n",
       "8881                NaN              NaN               NaN               NaN   \n",
       "8928                NaN              NaN               0.0               NaN   \n",
       "8975               27.0            302.0              10.0              32.0   \n",
       "9022                4.0             44.0               0.0               NaN   \n",
       "9069                0.0             17.0               0.0               0.0   \n",
       "9116               20.0            420.0              14.0             189.0   \n",
       "9163                4.0             35.0               0.0               0.0   \n",
       "9210               10.0            126.0               NaN               5.0   \n",
       "9257               98.0           1302.0              24.0             253.0   \n",
       "\n",
       "      latino_prison_adm  native_prison_adm  other_prison_adm  \\\n",
       "8834              151.0                NaN              24.0   \n",
       "8881                NaN                NaN               NaN   \n",
       "8928                6.0                NaN               6.0   \n",
       "8975               52.0                9.0               6.0   \n",
       "9022                6.0                NaN               4.0   \n",
       "9069                9.0                0.0               0.0   \n",
       "9116               96.0                NaN              20.0   \n",
       "9163                7.0               11.0               0.0   \n",
       "9210               14.0                NaN               7.0   \n",
       "9257              819.0               13.0              27.0   \n",
       "\n",
       "      white_prison_adm  num_facilites  num_employees  confined_pop  capacity  \\\n",
       "8834              71.0            3.0          262.0        1572.0    1209.0   \n",
       "8881               NaN            0.0            0.0           0.0       0.0   \n",
       "8928              23.0            1.0            0.0        3755.0    3614.0   \n",
       "8975             220.0            0.0            0.0           0.0       0.0   \n",
       "9022              38.0            1.0            0.0         108.0     108.0   \n",
       "9069               8.0            0.0            0.0           0.0       0.0   \n",
       "9116             121.0            0.0            0.0           0.0       0.0   \n",
       "9163              21.0            2.0            0.0        3561.0    3500.0   \n",
       "9210             110.0            1.0            0.0         128.0     123.0   \n",
       "9257             264.0            4.0            0.0        5405.0    2726.0   \n",
       "\n",
       "      ucr_population  index_crime  violent_crime  property_crime  \\\n",
       "8834             NaN          NaN            NaN             NaN   \n",
       "8881             NaN          NaN            NaN             NaN   \n",
       "8928             NaN          NaN            NaN             NaN   \n",
       "8975             NaN          NaN            NaN             NaN   \n",
       "9022             NaN          NaN            NaN             NaN   \n",
       "9069             NaN          NaN            NaN             NaN   \n",
       "9116             NaN          NaN            NaN             NaN   \n",
       "9163             NaN          NaN            NaN             NaN   \n",
       "9210             NaN          NaN            NaN             NaN   \n",
       "9257             NaN          NaN            NaN             NaN   \n",
       "\n",
       "      murder_crime  rape_crime  robbery_crime  agr_assault_crime  \\\n",
       "8834           NaN         NaN            NaN                NaN   \n",
       "8881           NaN         NaN            NaN                NaN   \n",
       "8928           NaN         NaN            NaN                NaN   \n",
       "8975           NaN         NaN            NaN                NaN   \n",
       "9022           NaN         NaN            NaN                NaN   \n",
       "9069           NaN         NaN            NaN                NaN   \n",
       "9116           NaN         NaN            NaN                NaN   \n",
       "9163           NaN         NaN            NaN                NaN   \n",
       "9210           NaN         NaN            NaN                NaN   \n",
       "9257           NaN         NaN            NaN                NaN   \n",
       "\n",
       "      burglary_crime  larceny_crime  mv_theft_crime  arson_crime  \\\n",
       "8834             NaN            NaN             NaN          NaN   \n",
       "8881             NaN            NaN             NaN          NaN   \n",
       "8928             NaN            NaN             NaN          NaN   \n",
       "8975             NaN            NaN             NaN          NaN   \n",
       "9022             NaN            NaN             NaN          NaN   \n",
       "9069             NaN            NaN             NaN          NaN   \n",
       "9116             NaN            NaN             NaN          NaN   \n",
       "9163             NaN            NaN             NaN          NaN   \n",
       "9210             NaN            NaN             NaN          NaN   \n",
       "9257             NaN            NaN             NaN          NaN   \n",
       "\n",
       "      perc_white_total_pop  perc_black_total_pop  perc_white_jail_pop  \\\n",
       "8834              0.342999              0.120232             0.164925   \n",
       "8881              0.645349              0.010174                  NaN   \n",
       "8928              0.786010              0.033407             0.724138   \n",
       "8975              0.750083              0.021675             0.726644   \n",
       "9022              0.831925              0.012824             0.755319   \n",
       "9069              0.363164              0.013802             0.358974   \n",
       "9116              0.464319              0.098756             0.241379   \n",
       "9163              0.630523              0.051203             0.634409   \n",
       "9210              0.802495              0.011580             0.817708   \n",
       "9257              0.316997              0.052693             0.206689   \n",
       "\n",
       "      perc_black_jail_pop  perc_white_prison_pop  perc_black_prison_pop  \n",
       "8834             0.501742               0.095960               0.664274  \n",
       "8881                  NaN                    NaN                    NaN  \n",
       "8928             0.068966               0.567568               0.081081  \n",
       "8975             0.103806               0.668508               0.109392  \n",
       "9022             0.021277               0.822917               0.000000  \n",
       "9069             0.064103               0.476190                    NaN  \n",
       "9116             0.322557               0.254138               0.471436  \n",
       "9163             0.010753               0.656863                    NaN  \n",
       "9210             0.046875               0.796992               0.070175  \n",
       "9257             0.146937               0.186771               0.206995  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "california_2015.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "$schema": "https://vega.github.io/schema/vega-lite/v2.6.0.json",
       "config": {
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         "width": 400
        }
       },
       "data": {
        "name": "data-5d06c4d97ef0df4f66ebd93db10bd71b"
       },
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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(california_2015.drop([9680])).mark_circle(size=60).encode(\n",
    "    x='total_pop',\n",
    "    y='total_prison_pop',\n",
    "    color='urbanicity',\n",
    "    tooltip=['county_name', 'total_pop', 'total_prison_pop']\n",
    ").interactive()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test for most recent year with good data using SQL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Find number of counties in a state\n",
    "* Test if a threshold % of 'total_prison_pop' variables are null\n",
    "* Return data for the most recent year with x% non-null values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "SELECT\n",
    "   count(1) as TotalAll,\n",
    "   count(variable_value) as TotalNotNull,\n",
    "   count(1) - count(variable_value) as TotalNull,\n",
    "   100.0 * count(variable_value) / count(1) as PercentNotNull\n",
    "FROM\n",
    "   games\n",
    "WHERE\n",
    "   category_id = '10'\n",
    "  ```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Connect to database\n",
    "conn = sqlite3.connect('./db/incarceration.db')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2015\n"
     ]
    }
   ],
   "source": [
    "def test_nulls_for_year(year):\n",
    "    percent_nulls = pd.read_sql_query(f\"\"\"SELECT\n",
    "                                   100.0 * count(total_prison_pop) / count(1) as PercentNotNull\n",
    "                                FROM\n",
    "                                   incarceration\n",
    "                                WHERE state = '{state_name}'\n",
    "                                AND year = {year};\n",
    "                                \"\"\", conn)\n",
    "    return percent_nulls\n",
    "\n",
    "\n",
    "state_name = 'CA'    \n",
    "    \n",
    "#Query the database\n",
    "conn = sqlite3.connect('./db/incarceration.db')\n",
    "\n",
    "year_2016_nulls = test_nulls_for_year(2016)\n",
    "\n",
    "year_2015_nulls = test_nulls_for_year(2015)\n",
    "\n",
    "year = 2016 # default year\n",
    "\n",
    "if year_2016_nulls.iloc[0]['PercentNotNull'] < year_2015_nulls.iloc[0]['PercentNotNull']:\n",
    "        year = 2015\n",
    "        print(\"2015\")\n",
    "else:\n",
    "    print(\"2016\")\n",
    "    \n",
    "all_counties_prison_pop = pd.read_sql_query(f\"\"\"SELECT county_name, total_pop, total_prison_pop\n",
    "                                FROM\n",
    "                                   incarceration\n",
    "                                WHERE state = '{state_name}'\n",
    "                                AND year = {year};\n",
    "                                \"\"\", conn)\n",
    "\n",
    "# Close connection\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>county_name</th>\n",
       "      <th>total_pop</th>\n",
       "      <th>total_prison_pop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alameda County</td>\n",
       "      <td>1611572</td>\n",
       "      <td>3762.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alpine County</td>\n",
       "      <td>1084</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amador County</td>\n",
       "      <td>36748</td>\n",
       "      <td>111.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Butte County</td>\n",
       "      <td>223629</td>\n",
       "      <td>905.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Calaveras County</td>\n",
       "      <td>44677</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Colusa County</td>\n",
       "      <td>21268</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Contra Costa County</td>\n",
       "      <td>1110971</td>\n",
       "      <td>1873.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Del Norte County</td>\n",
       "      <td>27206</td>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>El Dorado County</td>\n",
       "      <td>183333</td>\n",
       "      <td>399.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fresno County</td>\n",
       "      <td>963170</td>\n",
       "      <td>4203.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Glenn County</td>\n",
       "      <td>27909</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Humboldt County</td>\n",
       "      <td>134584</td>\n",
       "      <td>386.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Imperial County</td>\n",
       "      <td>178868</td>\n",
       "      <td>358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Inyo County</td>\n",
       "      <td>18340</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kern County</td>\n",
       "      <td>871895</td>\n",
       "      <td>3558.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kings County</td>\n",
       "      <td>149862</td>\n",
       "      <td>988.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lake County</td>\n",
       "      <td>64113</td>\n",
       "      <td>337.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Lassen County</td>\n",
       "      <td>31716</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Los Angeles County</td>\n",
       "      <td>10072695</td>\n",
       "      <td>42969.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Madera County</td>\n",
       "      <td>154103</td>\n",
       "      <td>534.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Marin County</td>\n",
       "      <td>261007</td>\n",
       "      <td>252.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Mariposa County</td>\n",
       "      <td>17730</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Mendocino County</td>\n",
       "      <td>87375</td>\n",
       "      <td>341.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Merced County</td>\n",
       "      <td>265281</td>\n",
       "      <td>897.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Modoc County</td>\n",
       "      <td>9083</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mono County</td>\n",
       "      <td>14072</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Monterey County</td>\n",
       "      <td>430416</td>\n",
       "      <td>1559.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Napa County</td>\n",
       "      <td>140918</td>\n",
       "      <td>299.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Nevada County</td>\n",
       "      <td>98614</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Orange County</td>\n",
       "      <td>3136750</td>\n",
       "      <td>6604.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Placer County</td>\n",
       "      <td>369727</td>\n",
       "      <td>670.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Plumas County</td>\n",
       "      <td>18667</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Riverside County</td>\n",
       "      <td>2321738</td>\n",
       "      <td>9159.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Sacramento County</td>\n",
       "      <td>1477522</td>\n",
       "      <td>6530.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>San Benito County</td>\n",
       "      <td>57974</td>\n",
       "      <td>106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>San Bernardino County</td>\n",
       "      <td>2104038</td>\n",
       "      <td>8304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>San Diego County</td>\n",
       "      <td>3256875</td>\n",
       "      <td>8586.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>San Francisco County</td>\n",
       "      <td>853258</td>\n",
       "      <td>979.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>San Joaquin County</td>\n",
       "      <td>713452</td>\n",
       "      <td>2873.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>San Luis Obispo County</td>\n",
       "      <td>278534</td>\n",
       "      <td>629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>San Mateo County</td>\n",
       "      <td>759156</td>\n",
       "      <td>1222.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Santa Barbara County</td>\n",
       "      <td>440628</td>\n",
       "      <td>1168.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Santa Clara County</td>\n",
       "      <td>1896246</td>\n",
       "      <td>4058.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Santa Cruz County</td>\n",
       "      <td>271529</td>\n",
       "      <td>552.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Shasta County</td>\n",
       "      <td>178983</td>\n",
       "      <td>1148.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Sierra County</td>\n",
       "      <td>2979</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Siskiyou County</td>\n",
       "      <td>43390</td>\n",
       "      <td>204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Solano County</td>\n",
       "      <td>429993</td>\n",
       "      <td>1013.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Sonoma County</td>\n",
       "      <td>499563</td>\n",
       "      <td>937.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Stanislaus County</td>\n",
       "      <td>529544</td>\n",
       "      <td>1617.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Sutter County</td>\n",
       "      <td>94983</td>\n",
       "      <td>332.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Tehama County</td>\n",
       "      <td>62820</td>\n",
       "      <td>362.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Trinity County</td>\n",
       "      <td>13122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Tulare County</td>\n",
       "      <td>456452</td>\n",
       "      <td>2187.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Tuolumne County</td>\n",
       "      <td>53852</td>\n",
       "      <td>239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Ventura County</td>\n",
       "      <td>844749</td>\n",
       "      <td>1691.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Yolo County</td>\n",
       "      <td>208873</td>\n",
       "      <td>722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Yuba County</td>\n",
       "      <td>73642</td>\n",
       "      <td>383.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               county_name  total_pop  total_prison_pop\n",
       "0           Alameda County    1611572            3762.0\n",
       "1            Alpine County       1084               NaN\n",
       "2            Amador County      36748             111.0\n",
       "3             Butte County     223629             905.0\n",
       "4         Calaveras County      44677              96.0\n",
       "5            Colusa County      21268              63.0\n",
       "6      Contra Costa County    1110971            1873.0\n",
       "7         Del Norte County      27206             102.0\n",
       "8         El Dorado County     183333             399.0\n",
       "9            Fresno County     963170            4203.0\n",
       "10            Glenn County      27909             103.0\n",
       "11         Humboldt County     134584             386.0\n",
       "12         Imperial County     178868             358.0\n",
       "13             Inyo County      18340              45.0\n",
       "14             Kern County     871895            3558.0\n",
       "15            Kings County     149862             988.0\n",
       "16             Lake County      64113             337.0\n",
       "17           Lassen County      31716              93.0\n",
       "18      Los Angeles County   10072695           42969.0\n",
       "19           Madera County     154103             534.0\n",
       "20            Marin County     261007             252.0\n",
       "21         Mariposa County      17730              53.0\n",
       "22        Mendocino County      87375             341.0\n",
       "23           Merced County     265281             897.0\n",
       "24            Modoc County       9083              24.0\n",
       "25             Mono County      14072              17.0\n",
       "26         Monterey County     430416            1559.0\n",
       "27             Napa County     140918             299.0\n",
       "28           Nevada County      98614              98.0\n",
       "29           Orange County    3136750            6604.0\n",
       "30           Placer County     369727             670.0\n",
       "31           Plumas County      18667              42.0\n",
       "32        Riverside County    2321738            9159.0\n",
       "33       Sacramento County    1477522            6530.0\n",
       "34       San Benito County      57974             106.0\n",
       "35   San Bernardino County    2104038            8304.0\n",
       "36        San Diego County    3256875            8586.0\n",
       "37    San Francisco County     853258             979.0\n",
       "38      San Joaquin County     713452            2873.0\n",
       "39  San Luis Obispo County     278534             629.0\n",
       "40        San Mateo County     759156            1222.0\n",
       "41    Santa Barbara County     440628            1168.0\n",
       "42      Santa Clara County    1896246            4058.0\n",
       "43       Santa Cruz County     271529             552.0\n",
       "44           Shasta County     178983            1148.0\n",
       "45           Sierra County       2979               6.0\n",
       "46         Siskiyou County      43390             204.0\n",
       "47           Solano County     429993            1013.0\n",
       "48           Sonoma County     499563             937.0\n",
       "49       Stanislaus County     529544            1617.0\n",
       "50           Sutter County      94983             332.0\n",
       "51           Tehama County      62820             362.0\n",
       "52          Trinity County      13122              50.0\n",
       "53           Tulare County     456452            2187.0\n",
       "54         Tuolumne County      53852             239.0\n",
       "55          Ventura County     844749            1691.0\n",
       "56             Yolo County     208873             722.0\n",
       "57             Yuba County      73642             383.0"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_counties_prison_pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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