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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "How Demographic Data Indicates\n",
      "Election Success"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Analyzing the 2012 Election"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Adlai J. Gordon<br>\n",
      "ajgordon@bu.edu<br>\n",
      "Boston University<br>\n",
      "CAS CS 591 Spring 2015<br>\n",
      "Professor <a href=\"http://www.cs.bu.edu/~evimaria/\">Evimaria Terzi</a>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Abstract"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "President Barack Obama defeated Former Massachusetts Governor Mitt Romney on Tuesday, November 6, 2012 to remain in office as President of the United States. He won by about 5 million votes, 126 electoral college votes, and two states (plus DC).\n",
      "\n",
      "In some cities, Obama did well. In others, he fared badly. What about those places made the president more or less favorable?\n",
      "\n",
      "We look at demographic data, specifically population density and eduational attainment, in the hopes to find trends that correlate with the election results."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "pd.set_option('display.max_rows', 0)\n",
      "import numpy as np\n",
      "import seaborn as sns\n",
      "from datetime import datetime\n",
      "from matplotlib import pyplot as plt\n",
      "import difflib \n",
      "import sklearn.linear_model as linear_model\n",
      "import sklearn\n",
      "import six\n",
      "from matplotlib import colors\n",
      "from sklearn.preprocessing import StandardScaler\n",
      "from sklearn.cluster import KMeans\n",
      "from numpy import hstack\n",
      "from numpy import atleast_2d, where\n",
      "\n",
      "# Matplotlib preferences\n",
      "%matplotlib inline\n",
      "plt.rcParams['figure.figsize'] = (15,12)\n",
      "plt.rc('xtick', labelsize=20) \n",
      "plt.rc('ytick', labelsize=20)\n",
      "plt.rc('axes', titlesize=25, labelsize=18)\n",
      "\n",
      "# Code for setting the style of the notebook\n",
      "from IPython.core.display import HTML\n",
      "def css_styling():\n",
      "    styles = open(\"theme/custom.css\", \"r\").read()\n",
      "    return HTML(styles)\n",
      "css_styling()\n",
      "\n",
      "# Output text to an external file\n",
      "def output(text):\n",
      "    with open('ouput.txt', \"a\") as output:\n",
      "        output.write(\"{}\\n\".format(text))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 69
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Part 1: Election Data"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "A) Raw 2012 Election Data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The Guardian published a file containing the 2012 election results, let's take a look.<br>\n",
      "http://www.theguardian.com/news/datablog/2012/nov/07/us-2012-election-county-results-download"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "elect_res = pd.read_csv(\"csv_in/US_elect_county.csv\")\n",
      "elect_res = elect_res[elect_res.FIPS > 0]\n",
      "\n",
      "elect_res.OBAMA_NUM = elect_res.OBAMA_NUM.str.replace(\",\", \"\")\n",
      "elect_res.ROMNEY_NUM = elect_res.ROMNEY_NUM.str.replace(\",\", \"\")\n",
      "elect_res = elect_res.convert_objects(convert_numeric=True)\n",
      "\n",
      "elect_res[\"OBAMA_PCT\"] = elect_res.OBAMA_NUM / (elect_res.OBAMA_NUM + elect_res.ROMNEY_NUM)\n",
      "elect_res[\"OBAMA_WIN\"] = elect_res.OBAMA_PCT > .5\n",
      "\n",
      "elect_res.head(10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>ind</th>\n",
        "      <th>STATE_POST</th>\n",
        "      <th>COUNTY_NAME</th>\n",
        "      <th>FIPS</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td>  1</td>\n",
        "      <td> AL</td>\n",
        "      <td>  Autauga</td>\n",
        "      <td> 1001</td>\n",
        "      <td>  6354</td>\n",
        "      <td> 17366</td>\n",
        "      <td> 0.267875</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td>  2</td>\n",
        "      <td> AL</td>\n",
        "      <td>  Baldwin</td>\n",
        "      <td> 1003</td>\n",
        "      <td> 18329</td>\n",
        "      <td> 65772</td>\n",
        "      <td> 0.217940</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td>  3</td>\n",
        "      <td> AL</td>\n",
        "      <td>  Barbour</td>\n",
        "      <td> 1005</td>\n",
        "      <td>  5873</td>\n",
        "      <td>  5539</td>\n",
        "      <td> 0.514634</td>\n",
        "      <td>  True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td>  4</td>\n",
        "      <td> AL</td>\n",
        "      <td>     Bibb</td>\n",
        "      <td> 1007</td>\n",
        "      <td>  2200</td>\n",
        "      <td>  6131</td>\n",
        "      <td> 0.264074</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td>  5</td>\n",
        "      <td> AL</td>\n",
        "      <td>   Blount</td>\n",
        "      <td> 1009</td>\n",
        "      <td>  2961</td>\n",
        "      <td> 20741</td>\n",
        "      <td> 0.124926</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td>  6</td>\n",
        "      <td> AL</td>\n",
        "      <td>  Bullock</td>\n",
        "      <td> 1011</td>\n",
        "      <td>  4058</td>\n",
        "      <td>  1250</td>\n",
        "      <td> 0.764506</td>\n",
        "      <td>  True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td>  7</td>\n",
        "      <td> AL</td>\n",
        "      <td>   Butler</td>\n",
        "      <td> 1013</td>\n",
        "      <td>  4367</td>\n",
        "      <td>  5081</td>\n",
        "      <td> 0.462214</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td>  8</td>\n",
        "      <td> AL</td>\n",
        "      <td>  Calhoun</td>\n",
        "      <td> 1015</td>\n",
        "      <td> 15500</td>\n",
        "      <td> 30272</td>\n",
        "      <td> 0.338635</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td>  9</td>\n",
        "      <td> AL</td>\n",
        "      <td> Chambers</td>\n",
        "      <td> 1017</td>\n",
        "      <td>  6853</td>\n",
        "      <td>  7596</td>\n",
        "      <td> 0.474289</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td> 10</td>\n",
        "      <td> AL</td>\n",
        "      <td> Cherokee</td>\n",
        "      <td> 1019</td>\n",
        "      <td>  2126</td>\n",
        "      <td>  7494</td>\n",
        "      <td> 0.220998</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 36,
       "text": [
        "    ind STATE_POST COUNTY_NAME  FIPS  OBAMA_NUM  ROMNEY_NUM  OBAMA_PCT  \\\n",
        "1     1         AL     Autauga  1001       6354       17366   0.267875   \n",
        "2     2         AL     Baldwin  1003      18329       65772   0.217940   \n",
        "3     3         AL     Barbour  1005       5873        5539   0.514634   \n",
        "4     4         AL        Bibb  1007       2200        6131   0.264074   \n",
        "5     5         AL      Blount  1009       2961       20741   0.124926   \n",
        "6     6         AL     Bullock  1011       4058        1250   0.764506   \n",
        "7     7         AL      Butler  1013       4367        5081   0.462214   \n",
        "8     8         AL     Calhoun  1015      15500       30272   0.338635   \n",
        "9     9         AL    Chambers  1017       6853        7596   0.474289   \n",
        "10   10         AL    Cherokee  1019       2126        7494   0.220998   \n",
        "\n",
        "   OBAMA_WIN  \n",
        "1      False  \n",
        "2      False  \n",
        "3       True  \n",
        "4      False  \n",
        "5      False  \n",
        "6       True  \n",
        "7      False  \n",
        "8      False  \n",
        "9      False  \n",
        "10     False  "
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Is this the full data? Let's see if we're missing any states"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "states = [(\"AK\", \"Alaska\"), (\"AL\", \"Alabama\"), (\"AR\", \"Arkansas\"), (\"AZ\", \"Arizona\"), (\"CA\", \"California\"), (\"CO\", \"Colorado\"), (\"CT\", \"Connecticut\"), (\"DE\", \"Delaware\"), (\"FL\", \"Florida\"), (\"GA\", \"Georgia\"), (\"HI\", \"Hawaii\"), (\"IA\", \"Iowa\"), (\"ID\", \"Idaho\"), (\"IL\", \"Illinois\"), (\"IN\", \"Indiana\"), (\"KS\", \"Kansas\"), (\"KY\", \"Kentucky\"), (\"LA\", \"Louisiana\"), (\"MA\", \"Massachusetts\"), (\"MD\", \"Maryland\"), (\"ME\", \"Maine\"), (\"MI\", \"Michigan\"), (\"MN\", \"Minnesota\"), (\"MO\", \"Missouri\"), (\"MS\", \"Mississippi\"), (\"MT\", \"Montana\"), (\"NC\", \"North Carolina\"), (\"ND\", \"North Dakota\"), (\"NE\", \"Nebraska\"), (\"NH\", \"New Hampshire\"), (\"NJ\", \"New Jersey\"), (\"NM\", \"New Mexico\"), (\"NV\", \"Nevada\"), (\"NY\", \"New York\"), (\"OH\", \"Ohio\"), (\"OK\", \"Oklahoma\"), (\"OR\", \"Oregon\"), (\"PA\", \"Pennsylvania\"), (\"RI\", \"Rhode Island\"), (\"SC\", \"South Carolina\"), (\"SD\", \"South Dakota\"), (\"TN\", \"Tennessee\"), (\"TX\", \"Texas\"), (\"UT\", \"Utah\"), (\"VA\", \"Virginia\"), (\"VT\", \"Vermont\"), (\"WA\", \"Washington\"), (\"WI\", \"Wisconsin\"), (\"WV\", \"West Virginia\"), (\"WY\", \"Wyoming\")]\n",
      "have = elect_res.STATE_POST.unique()\n",
      "[state for (abbv, state) in states if abbv not in have]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 37,
       "text": [
        "['Alaska',\n",
        " 'Colorado',\n",
        " 'Connecticut',\n",
        " 'Florida',\n",
        " 'Georgia',\n",
        " 'South Carolina',\n",
        " 'Utah',\n",
        " 'Wyoming']"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Not too bad. We can look at these results more closely after we've added on interesting demographic data."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "B) Distribute the Votes to Their Appropriate Metropolitan Statistic Area"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<i>This section is a little technical, feel free to skip to Part 2 </i>\n",
      "\n",
      "We will be using the \"Metropolitian Statistical Area\" (MSA) as our demographical reference point.<br>\n",
      "An MSA is \"a geographical region with a relatively high population density at its core and close economic ties throughout the area.\" (More info <a href=\"http://en.wikipedia.org/wiki/Metropolitan_statistical_area\">here</a>)<br><br>\n",
      "We must distribute the election results from each county or town to their respective MSA.<br>\n",
      "(Definitions file taken from first two rows of 'msa_population.csv'. We will use the rest of the data from that dataset later on)</i>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_def = pd.read_csv(\"csv_in/msa_definitions.csv\")\n",
      "msa_def.MSA_AGG_NUM = msa_def.MSA_AGG_NUM.fillna(0)\n",
      "msa_def = msa_def.convert_objects(convert_numeric=True)\n",
      "msa_def.TOWNSHIP_NAME = msa_def.TOWNSHIP_NAME.str.rstrip(\"town\")\n",
      "msa_def.TOWNSHIP_NAME = msa_def.TOWNSHIP_NAME.str.rstrip(\"city\")\n",
      "msa_def.MSA_AGG_NUM = msa_def.MSA_AGG_NUM.astype(int)\n",
      "msa_def.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 4983 entries, 0 to 4982\n",
        "Data columns (total 11 columns):\n",
        "STATE_NUM        4983 non-null int64\n",
        "STATE_NAME       4983 non-null object\n",
        "MSA_NUM          4983 non-null int64\n",
        "MSA_NAME         4983 non-null object\n",
        "MSA_AGG_NUM      4983 non-null int64\n",
        "MSA_AGG_NAME     295 non-null object\n",
        "COUNTY_NUM       4983 non-null int64\n",
        "TOWNSHIP_NUM     4983 non-null int64\n",
        "COUNTY_NAME      4983 non-null object\n",
        "TOWNSHIP_NAME    1767 non-null object\n",
        "FIPS             4983 non-null int64\n",
        "dtypes: int64(6), object(5)"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fips_to_msa = {}\n",
      "for ind, data in msa_def.iterrows():\n",
      "    if pd.isnull(data.TOWNSHIP_NAME):\n",
      "        if pd.isnull(data.MSA_AGG_NAME):\n",
      "            # MSA\n",
      "            fips_to_msa[data.FIPS] = data.MSA_NUM\n",
      "        else:\n",
      "            # MSA_AGG\n",
      "            fips_to_msa[data.FIPS] = data.MSA_AGG_NUM\n",
      "    # Towns\n",
      "    else:\n",
      "        try:\n",
      "            fips_to_msa[data.FIPS][data.TOWNSHIP_NAME] = data.MSA_NUM\n",
      "        except:\n",
      "            fips_to_msa[data.FIPS] = {data.TOWNSHIP_NAME:data.MSA_NUM}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create new dataframe\n",
      "df = pd.read_csv(\"csv_in/msa_list.csv\")\n",
      "df[\"OBAMA_NUM\"] = 0\n",
      "df[\"ROMNEY_NUM\"] = 0\n",
      "df.index = df.MSA_NUM"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Distribute votes\n",
      "for ind, data in elect_res.iterrows():\n",
      "    try:\n",
      "        msa = fips_to_msa[data.FIPS]\n",
      "    except:\n",
      "        continue\n",
      "        \n",
      "    if type(msa) == dict:\n",
      "        town = difflib.get_close_matches(data.COUNTY_NAME, msa.keys(), 1, .2)\n",
      "        if town == []:\n",
      "            continue\n",
      "        msa = msa[town[0]]\n",
      "    try:\n",
      "        df.loc[msa, \"OBAMA_NUM\"] += data.OBAMA_NUM\n",
      "        df.loc[msa, \"ROMNEY_NUM\"] += data.ROMNEY_NUM\n",
      "    except:\n",
      "        continue"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = df[df.OBAMA_NUM > 0]\n",
      "df[\"TOTAL_VOTES\"] = df.OBAMA_NUM + df.ROMNEY_NUM\n",
      "df[\"OBAMA_PCT\"] = df.OBAMA_NUM / (df.OBAMA_NUM + df.ROMNEY_NUM)\n",
      "df[\"OBAMA_WIN\"] = df.OBAMA_PCT > .5\n",
      "df = df.sort()\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>10180</th>\n",
        "      <td> 10180</td>\n",
        "      <td>                 Abilene, TX Metro Area</td>\n",
        "      <td>  11701</td>\n",
        "      <td>  41487</td>\n",
        "      <td>  53188</td>\n",
        "      <td> 0.219993</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10420</th>\n",
        "      <td> 10420</td>\n",
        "      <td>                   Akron, OH Metro Area</td>\n",
        "      <td> 185228</td>\n",
        "      <td> 143165</td>\n",
        "      <td> 328393</td>\n",
        "      <td> 0.564044</td>\n",
        "      <td>  True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10580</th>\n",
        "      <td> 10580</td>\n",
        "      <td> Albany-Schenectady-Troy, NY Metro Area</td>\n",
        "      <td> 203119</td>\n",
        "      <td> 147555</td>\n",
        "      <td> 350674</td>\n",
        "      <td> 0.579225</td>\n",
        "      <td>  True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10740</th>\n",
        "      <td> 10740</td>\n",
        "      <td>             Albuquerque, NM Metro Area</td>\n",
        "      <td> 189901</td>\n",
        "      <td> 144675</td>\n",
        "      <td> 334576</td>\n",
        "      <td> 0.567587</td>\n",
        "      <td>  True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10780</th>\n",
        "      <td> 10780</td>\n",
        "      <td>              Alexandria, LA Metro Area</td>\n",
        "      <td>  21461</td>\n",
        "      <td>  44269</td>\n",
        "      <td>  65730</td>\n",
        "      <td> 0.326502</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 42,
       "text": [
        "         MSA_NUM                                MSA_NAME  OBAMA_NUM  \\\n",
        "MSA_NUM                                                               \n",
        "10180      10180                  Abilene, TX Metro Area      11701   \n",
        "10420      10420                    Akron, OH Metro Area     185228   \n",
        "10580      10580  Albany-Schenectady-Troy, NY Metro Area     203119   \n",
        "10740      10740              Albuquerque, NM Metro Area     189901   \n",
        "10780      10780               Alexandria, LA Metro Area      21461   \n",
        "\n",
        "         ROMNEY_NUM  TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  \n",
        "MSA_NUM                                                \n",
        "10180         41487        53188   0.219993     False  \n",
        "10420        143165       328393   0.564044      True  \n",
        "10580        147555       350674   0.579225      True  \n",
        "10740        144675       334576   0.567587      True  \n",
        "10780         44269        65730   0.326502     False  "
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Part 2: Demographic Data"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "A) Population Data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The US Census publishes population data. We will specifically be looking at 2010 Population Density (\"POP_DENSITY_2010\")<br>\n",
      "http://www.census.gov/population/metro/data/pop_pro.html"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_pop = pd.read_csv(\"csv_in/msa_population.csv\")\n",
      "msa_pop = msa_pop[pd.isnull(msa_pop.MSA_NUM) == False]\n",
      "for c in [\"POP_2000\",\"POP_2010\",\"POP_DENSITY_2000\",\"POP_DENSITY_2010\"]:\n",
      "    msa_pop[c] = msa_pop[c].str.replace(\",\",\"\")\n",
      "msa_pop = msa_pop.convert_objects(convert_numeric=True)\n",
      "msa_pop.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td> 10180</td>\n",
        "      <td>                 Abilene, TX Metro Area</td>\n",
        "      <td> 160245</td>\n",
        "      <td> 165252</td>\n",
        "      <td>  3.1</td>\n",
        "      <td> 1903.0</td>\n",
        "      <td> 1771.8</td>\n",
        "      <td>-131.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td> 10420</td>\n",
        "      <td>                   Akron, OH Metro Area</td>\n",
        "      <td> 694960</td>\n",
        "      <td> 703200</td>\n",
        "      <td>  1.2</td>\n",
        "      <td> 2682.9</td>\n",
        "      <td> 2412.8</td>\n",
        "      <td>-270.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td> 10500</td>\n",
        "      <td>                  Albany, GA Metro Area</td>\n",
        "      <td> 157833</td>\n",
        "      <td> 157308</td>\n",
        "      <td> -0.3</td>\n",
        "      <td>  952.4</td>\n",
        "      <td>  922.7</td>\n",
        "      <td> -29.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td> 10580</td>\n",
        "      <td> Albany-Schenectady-Troy, NY Metro Area</td>\n",
        "      <td> 825875</td>\n",
        "      <td> 870716</td>\n",
        "      <td>  5.4</td>\n",
        "      <td> 2858.6</td>\n",
        "      <td> 2944.9</td>\n",
        "      <td>  86.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td> 10740</td>\n",
        "      <td>             Albuquerque, NM Metro Area</td>\n",
        "      <td> 729649</td>\n",
        "      <td> 887077</td>\n",
        "      <td> 21.6</td>\n",
        "      <td> 3310.2</td>\n",
        "      <td> 3518.6</td>\n",
        "      <td> 208.4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 43,
       "text": [
        "    MSA_NUM                                MSA_NAME  POP_2000  POP_2010  \\\n",
        "7     10180                  Abilene, TX Metro Area    160245    165252   \n",
        "8     10420                    Akron, OH Metro Area    694960    703200   \n",
        "9     10500                   Albany, GA Metro Area    157833    157308   \n",
        "10    10580  Albany-Schenectady-Troy, NY Metro Area    825875    870716   \n",
        "11    10740              Albuquerque, NM Metro Area    729649    887077   \n",
        "\n",
        "    POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE  \n",
        "7              3.1            1903.0            1771.8              -131.2  \n",
        "8              1.2            2682.9            2412.8              -270.1  \n",
        "9             -0.3             952.4             922.7               -29.7  \n",
        "10             5.4            2858.6            2944.9                86.3  \n",
        "11            21.6            3310.2            3518.6               208.4  "
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Basic statistics about our data:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print (\"2010 Population Size\\n\\tAverage: {}\\n\\tStd. Deviation: {}\\n\\n2010 Population Density (People / Square Mile)\\n\\tAverage: {}\\n\\tStd. Deviation: {}\".format(round(msa_pop.POP_2010.mean(), 2), round(msa_pop.POP_2010.std(), 2), round(msa_pop.POP_DENSITY_2010.mean(), 2),round(msa_pop.POP_DENSITY_2010.std(), 2) ))\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2010 Population Size\n",
        "\tAverage: 705786.24\n",
        "\tStd. Deviation: 1579548.52\n",
        "\n",
        "2010 Population Density (People / Square Mile)\n",
        "\tAverage: 2373.83\n",
        "\tStd. Deviation: 2229.82\n"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_pop.sort(\"POP_DENSITY_2010\").plot(x = \"MSA_NAME\", y=\"POP_DENSITY_2010\", xticks=(), title=\"Population Density Distribution\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x10ed7b310>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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FOXQmPu/zMko1ZJJybVa/Vw6532ub5Y/7ko/fURLITfrv0LThX2v8YQNl+gcoHxrvd/1W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\nGCAlSZIUzy6OVXjm+ASPHR7li48ePyssdhSyvPCqrXSVchR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FizAWSZIkSVo31mOALCfX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\nICVJkiRJi/L/Az0wn4K0pVVCAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10ed7bbd0>"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Largest density MSA's:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_pop.sort(\"POP_DENSITY_2010\", ascending = False).head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>243</th>\n",
        "      <td> 35620</td>\n",
        "      <td> New York-Northern New Jersey-Long Island, NY-N...</td>\n",
        "      <td> 18323002</td>\n",
        "      <td> 18897109</td>\n",
        "      <td> 3.1</td>\n",
        "      <td> 31683.6</td>\n",
        "      <td> 31251.4</td>\n",
        "      <td>-432.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>308</th>\n",
        "      <td> 41860</td>\n",
        "      <td>      San Francisco-Oakland-Fremont, CA Metro Area</td>\n",
        "      <td>  4123740</td>\n",
        "      <td>  4335391</td>\n",
        "      <td> 5.1</td>\n",
        "      <td> 12438.4</td>\n",
        "      <td> 12144.9</td>\n",
        "      <td>-293.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>206</th>\n",
        "      <td> 31100</td>\n",
        "      <td>   Los Angeles-Long Beach-Santa Ana, CA Metro Area</td>\n",
        "      <td> 12365627</td>\n",
        "      <td> 12828837</td>\n",
        "      <td> 3.7</td>\n",
        "      <td> 12442.0</td>\n",
        "      <td> 12113.9</td>\n",
        "      <td>-328.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>153</th>\n",
        "      <td> 26180</td>\n",
        "      <td>                           Honolulu, HI Metro Area</td>\n",
        "      <td>   876156</td>\n",
        "      <td>   953207</td>\n",
        "      <td> 8.8</td>\n",
        "      <td> 10977.5</td>\n",
        "      <td> 11548.2</td>\n",
        "      <td> 570.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>71 </th>\n",
        "      <td> 16980</td>\n",
        "      <td>    Chicago-Joliet-Naperville, IL-IN-WI Metro Area</td>\n",
        "      <td>  9098316</td>\n",
        "      <td>  9461105</td>\n",
        "      <td> 4.0</td>\n",
        "      <td>  9829.6</td>\n",
        "      <td>  8613.4</td>\n",
        "      <td>   NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 46,
       "text": [
        "     MSA_NUM                                           MSA_NAME  POP_2000  \\\n",
        "243    35620  New York-Northern New Jersey-Long Island, NY-N...  18323002   \n",
        "308    41860       San Francisco-Oakland-Fremont, CA Metro Area   4123740   \n",
        "206    31100    Los Angeles-Long Beach-Santa Ana, CA Metro Area  12365627   \n",
        "153    26180                            Honolulu, HI Metro Area    876156   \n",
        "71     16980     Chicago-Joliet-Naperville, IL-IN-WI Metro Area   9098316   \n",
        "\n",
        "     POP_2010  POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  \\\n",
        "243  18897109             3.1           31683.6           31251.4   \n",
        "308   4335391             5.1           12438.4           12144.9   \n",
        "206  12828837             3.7           12442.0           12113.9   \n",
        "153    953207             8.8           10977.5           11548.2   \n",
        "71    9461105             4.0            9829.6            8613.4   \n",
        "\n",
        "     POP_DENSITY_CHANGE  \n",
        "243              -432.2  \n",
        "308              -293.4  \n",
        "206              -328.1  \n",
        "153               570.7  \n",
        "71                  NaN  "
       ]
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Smallest density MSA's:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_pop.sort(\"POP_DENSITY_2010\").head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>169</th>\n",
        "      <td> 27620</td>\n",
        "      <td>  Jefferson City, MO Metro Area</td>\n",
        "      <td> 140052</td>\n",
        "      <td> 149807</td>\n",
        "      <td>  7.0</td>\n",
        "      <td> 587.7</td>\n",
        "      <td> 522.7</td>\n",
        "      <td>-64.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>292</th>\n",
        "      <td> 40580</td>\n",
        "      <td>     Rocky Mount, NC Metro Area</td>\n",
        "      <td> 143026</td>\n",
        "      <td> 152392</td>\n",
        "      <td>  6.5</td>\n",
        "      <td> 567.4</td>\n",
        "      <td> 525.7</td>\n",
        "      <td>-41.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>54 </th>\n",
        "      <td> 15260</td>\n",
        "      <td>       Brunswick, GA Metro Area</td>\n",
        "      <td>  93044</td>\n",
        "      <td> 112370</td>\n",
        "      <td> 20.8</td>\n",
        "      <td> 581.7</td>\n",
        "      <td> 539.0</td>\n",
        "      <td>-42.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>233</th>\n",
        "      <td> 34100</td>\n",
        "      <td>      Morristown, TN Metro Area</td>\n",
        "      <td> 123081</td>\n",
        "      <td> 136608</td>\n",
        "      <td> 11.0</td>\n",
        "      <td> 511.9</td>\n",
        "      <td> 554.2</td>\n",
        "      <td> 42.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21 </th>\n",
        "      <td> 11500</td>\n",
        "      <td> Anniston-Oxford, AL Metro Area</td>\n",
        "      <td> 112249</td>\n",
        "      <td> 118572</td>\n",
        "      <td>  5.6</td>\n",
        "      <td> 614.4</td>\n",
        "      <td> 566.6</td>\n",
        "      <td>-47.8</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 47,
       "text": [
        "     MSA_NUM                        MSA_NAME  POP_2000  POP_2010  \\\n",
        "169    27620   Jefferson City, MO Metro Area    140052    149807   \n",
        "292    40580      Rocky Mount, NC Metro Area    143026    152392   \n",
        "54     15260        Brunswick, GA Metro Area     93044    112370   \n",
        "233    34100       Morristown, TN Metro Area    123081    136608   \n",
        "21     11500  Anniston-Oxford, AL Metro Area    112249    118572   \n",
        "\n",
        "     POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE  \n",
        "169             7.0             587.7             522.7               -64.9  \n",
        "292             6.5             567.4             525.7               -41.7  \n",
        "54             20.8             581.7             539.0               -42.6  \n",
        "233            11.0             511.9             554.2                42.3  \n",
        "21              5.6             614.4             566.6               -47.8  "
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "B) Educational Data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The US Census via the American Community Survey publishes educational data for each MSA. This data is from the <a href= \"http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_13_3YR_B23006\">ACS 2013 3 Year Estimate.</a> <i>Some original columns have been removed or renamed.</i>\n",
      "\n",
      "10 = Less then high school<br>\n",
      "12 = High school<br>\n",
      "14 = Some college / Associates degree<br>\n",
      "16 = Bachelors degree and beyond<br>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_edu = pd.read_csv(\"csv_in/msa_educational-attainment.csv\")\n",
      "msa_edu.EDU_10 = msa_edu.EDU_10 / msa_edu.EDU_TOTAL\n",
      "msa_edu.EDU_12 = msa_edu.EDU_12 / msa_edu.EDU_TOTAL\n",
      "msa_edu.EDU_14 = msa_edu.EDU_14 / msa_edu.EDU_TOTAL\n",
      "msa_edu.EDU_16 = msa_edu.EDU_16 / msa_edu.EDU_TOTAL\n",
      "\n",
      "msa_edu[\"EDU_AVG\"] = (msa_edu.EDU_10 * 10 + msa_edu.EDU_12 * 12 + msa_edu.EDU_14 * 14 + msa_edu.EDU_16 * 16)\n",
      "\n",
      "msa_edu.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>EDU_TOTAL</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 10020</td>\n",
        "      <td> Abbeville, LA Micro Area</td>\n",
        "      <td> 30138</td>\n",
        "      <td> 0.188367</td>\n",
        "      <td> 0.443759</td>\n",
        "      <td> 0.223671</td>\n",
        "      <td> 0.144203</td>\n",
        "      <td> 12.647422</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 10100</td>\n",
        "      <td>  Aberdeen, SD Micro Area</td>\n",
        "      <td> 20712</td>\n",
        "      <td> 0.047605</td>\n",
        "      <td> 0.309965</td>\n",
        "      <td> 0.351101</td>\n",
        "      <td> 0.291329</td>\n",
        "      <td> 13.772306</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 10140</td>\n",
        "      <td>  Aberdeen, WA Micro Area</td>\n",
        "      <td> 38464</td>\n",
        "      <td> 0.142679</td>\n",
        "      <td> 0.293365</td>\n",
        "      <td> 0.409630</td>\n",
        "      <td> 0.154326</td>\n",
        "      <td> 13.151206</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 10180</td>\n",
        "      <td>   Abilene, TX Metro Area</td>\n",
        "      <td> 82667</td>\n",
        "      <td> 0.161588</td>\n",
        "      <td> 0.300035</td>\n",
        "      <td> 0.331595</td>\n",
        "      <td> 0.206781</td>\n",
        "      <td> 13.167140</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 10220</td>\n",
        "      <td>       Ada, OK Micro Area</td>\n",
        "      <td> 18407</td>\n",
        "      <td> 0.121693</td>\n",
        "      <td> 0.309556</td>\n",
        "      <td> 0.285109</td>\n",
        "      <td> 0.283642</td>\n",
        "      <td> 13.461401</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 48,
       "text": [
        "   MSA_NUM                  MSA_NAME  EDU_TOTAL    EDU_10    EDU_12    EDU_14  \\\n",
        "0    10020  Abbeville, LA Micro Area      30138  0.188367  0.443759  0.223671   \n",
        "1    10100   Aberdeen, SD Micro Area      20712  0.047605  0.309965  0.351101   \n",
        "2    10140   Aberdeen, WA Micro Area      38464  0.142679  0.293365  0.409630   \n",
        "3    10180    Abilene, TX Metro Area      82667  0.161588  0.300035  0.331595   \n",
        "4    10220        Ada, OK Micro Area      18407  0.121693  0.309556  0.285109   \n",
        "\n",
        "     EDU_16    EDU_AVG  \n",
        "0  0.144203  12.647422  \n",
        "1  0.291329  13.772306  \n",
        "2  0.154326  13.151206  \n",
        "3  0.206781  13.167140  \n",
        "4  0.283642  13.461401  "
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Basic statistics:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print (\"Educational Attainment\\n\\tAverage: {}\\n\\tStd. Deviation: {}\".format(round(msa_edu.EDU_AVG.mean(), 3), round(msa_edu.EDU_AVG.std(), 3)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Educational Attainment\n",
        "\tAverage: 13.3\n",
        "\tStd. Deviation: 0.44\n"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_edu.sort(\"EDU_AVG\").plot(x = \"MSA_NAME\", y=\"EDU_AVG\", xticks=(), title=\"Educational Attainment Distribution\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 50,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x10e588e90>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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P5FiWbe3e3G8Apf7zaVaQTGHTX67PrrHIfqasCyHU5BqoJh0hNRuOx/uZImmKGfF9DCGE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\nkiTI4uDXN5he6lnuUk9JkiRJC1zWBj+XekqSJElSWvYGv5NLPUsMfpI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Rc/kr0stoJ/ty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\ngMFJ/AAAAAYn8QMAABicxA8AAGBwPwAa0WCPBt+rKQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x109e9d6d0>"
       ]
      }
     ],
     "prompt_number": 50
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Highest Educated MSA's:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_edu.sort(\"EDU_AVG\", ascending = False).head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>EDU_TOTAL</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>104</th>\n",
        "      <td> 14500</td>\n",
        "      <td>   Boulder, CO Metro Area</td>\n",
        "      <td> 161239</td>\n",
        "      <td> 0.057561</td>\n",
        "      <td> 0.116268</td>\n",
        "      <td> 0.224108</td>\n",
        "      <td> 0.602063</td>\n",
        "      <td> 14.741347</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>457</th>\n",
        "      <td> 29660</td>\n",
        "      <td>   Laramie, WY Micro Area</td>\n",
        "      <td>  16822</td>\n",
        "      <td> 0.034122</td>\n",
        "      <td> 0.111758</td>\n",
        "      <td> 0.346570</td>\n",
        "      <td> 0.507550</td>\n",
        "      <td> 14.655095</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>692</th>\n",
        "      <td> 39420</td>\n",
        "      <td>   Pullman, WA Micro Area</td>\n",
        "      <td>  17401</td>\n",
        "      <td> 0.028044</td>\n",
        "      <td> 0.158612</td>\n",
        "      <td> 0.276478</td>\n",
        "      <td> 0.536866</td>\n",
        "      <td> 14.644331</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27 </th>\n",
        "      <td> 11180</td>\n",
        "      <td>      Ames, IA Metro Area</td>\n",
        "      <td>  38589</td>\n",
        "      <td> 0.031097</td>\n",
        "      <td> 0.151416</td>\n",
        "      <td> 0.307523</td>\n",
        "      <td> 0.509964</td>\n",
        "      <td> 14.592708</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33 </th>\n",
        "      <td> 11460</td>\n",
        "      <td> Ann Arbor, MI Metro Area</td>\n",
        "      <td> 179603</td>\n",
        "      <td> 0.046029</td>\n",
        "      <td> 0.151751</td>\n",
        "      <td> 0.277167</td>\n",
        "      <td> 0.525052</td>\n",
        "      <td> 14.562485</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "     MSA_NUM                  MSA_NAME  EDU_TOTAL    EDU_10    EDU_12  \\\n",
        "104    14500    Boulder, CO Metro Area     161239  0.057561  0.116268   \n",
        "457    29660    Laramie, WY Micro Area      16822  0.034122  0.111758   \n",
        "692    39420    Pullman, WA Micro Area      17401  0.028044  0.158612   \n",
        "27     11180       Ames, IA Metro Area      38589  0.031097  0.151416   \n",
        "33     11460  Ann Arbor, MI Metro Area     179603  0.046029  0.151751   \n",
        "\n",
        "       EDU_14    EDU_16    EDU_AVG  \n",
        "104  0.224108  0.602063  14.741347  \n",
        "457  0.346570  0.507550  14.655095  \n",
        "692  0.276478  0.536866  14.644331  \n",
        "27   0.307523  0.509964  14.592708  \n",
        "33   0.277167  0.525052  14.562485  "
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lowest Educated MSA's:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_edu.sort(\"EDU_AVG\").head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>EDU_TOTAL</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>708</th>\n",
        "      <td> 40100</td>\n",
        "      <td> Rio Grande City-Roma, TX Micro Area</td>\n",
        "      <td> 27570</td>\n",
        "      <td> 0.495901</td>\n",
        "      <td> 0.223105</td>\n",
        "      <td> 0.175190</td>\n",
        "      <td> 0.105803</td>\n",
        "      <td> 11.781792</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>889</th>\n",
        "      <td> 48100</td>\n",
        "      <td>             Wauchula, FL Micro Area</td>\n",
        "      <td> 13020</td>\n",
        "      <td> 0.378571</td>\n",
        "      <td> 0.331874</td>\n",
        "      <td> 0.198003</td>\n",
        "      <td> 0.091551</td>\n",
        "      <td> 12.005069</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>698</th>\n",
        "      <td> 39700</td>\n",
        "      <td>         Raymondville, TX Micro Area</td>\n",
        "      <td> 10948</td>\n",
        "      <td> 0.357143</td>\n",
        "      <td> 0.340427</td>\n",
        "      <td> 0.213281</td>\n",
        "      <td> 0.089149</td>\n",
        "      <td> 12.068871</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>172</th>\n",
        "      <td> 17500</td>\n",
        "      <td>            Clewiston, FL Micro Area</td>\n",
        "      <td> 18875</td>\n",
        "      <td> 0.350675</td>\n",
        "      <td> 0.335470</td>\n",
        "      <td> 0.207894</td>\n",
        "      <td> 0.105960</td>\n",
        "      <td> 12.138278</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>36 </th>\n",
        "      <td> 11580</td>\n",
        "      <td>              Arcadia, FL Micro Area</td>\n",
        "      <td> 16607</td>\n",
        "      <td> 0.314807</td>\n",
        "      <td> 0.375685</td>\n",
        "      <td> 0.225568</td>\n",
        "      <td> 0.083941</td>\n",
        "      <td> 12.157283</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
       "text": [
        "     MSA_NUM                             MSA_NAME  EDU_TOTAL    EDU_10  \\\n",
        "708    40100  Rio Grande City-Roma, TX Micro Area      27570  0.495901   \n",
        "889    48100              Wauchula, FL Micro Area      13020  0.378571   \n",
        "698    39700          Raymondville, TX Micro Area      10948  0.357143   \n",
        "172    17500             Clewiston, FL Micro Area      18875  0.350675   \n",
        "36     11580               Arcadia, FL Micro Area      16607  0.314807   \n",
        "\n",
        "       EDU_12    EDU_14    EDU_16    EDU_AVG  \n",
        "708  0.223105  0.175190  0.105803  11.781792  \n",
        "889  0.331874  0.198003  0.091551  12.005069  \n",
        "698  0.340427  0.213281  0.089149  12.068871  \n",
        "172  0.335470  0.207894  0.105960  12.138278  \n",
        "36   0.375685  0.225568  0.083941  12.157283  "
       ]
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Part 3: Look for Correlations"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "A) Merge the data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Merge the population and educational data onto the election data to create one large DataFrame"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_pop = msa_pop.drop(\"MSA_NAME\", 1)\n",
      "df = df.merge(right=msa_pop, how='left', on=\"MSA_NUM\")\n",
      "\n",
      "msa_edu = msa_edu.drop([\"MSA_NAME\",\"EDU_TOTAL\"],1)\n",
      "df = df.merge(right=msa_edu, how='left', on=\"MSA_NUM\")\n",
      "\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 10180</td>\n",
        "      <td>                 Abilene, TX Metro Area</td>\n",
        "      <td>  11701</td>\n",
        "      <td>  41487</td>\n",
        "      <td>  53188</td>\n",
        "      <td> 0.219993</td>\n",
        "      <td> False</td>\n",
        "      <td> 160245</td>\n",
        "      <td> 165252</td>\n",
        "      <td>  3.1</td>\n",
        "      <td> 1903.0</td>\n",
        "      <td> 1771.8</td>\n",
        "      <td>-131.2</td>\n",
        "      <td> 0.161588</td>\n",
        "      <td> 0.300035</td>\n",
        "      <td> 0.331595</td>\n",
        "      <td> 0.206781</td>\n",
        "      <td> 13.167140</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 10420</td>\n",
        "      <td>                   Akron, OH Metro Area</td>\n",
        "      <td> 185228</td>\n",
        "      <td> 143165</td>\n",
        "      <td> 328393</td>\n",
        "      <td> 0.564044</td>\n",
        "      <td>  True</td>\n",
        "      <td> 694960</td>\n",
        "      <td> 703200</td>\n",
        "      <td>  1.2</td>\n",
        "      <td> 2682.9</td>\n",
        "      <td> 2412.8</td>\n",
        "      <td>-270.1</td>\n",
        "      <td> 0.072797</td>\n",
        "      <td> 0.321001</td>\n",
        "      <td> 0.301059</td>\n",
        "      <td> 0.305143</td>\n",
        "      <td> 13.677097</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 10580</td>\n",
        "      <td> Albany-Schenectady-Troy, NY Metro Area</td>\n",
        "      <td> 203119</td>\n",
        "      <td> 147555</td>\n",
        "      <td> 350674</td>\n",
        "      <td> 0.579225</td>\n",
        "      <td>  True</td>\n",
        "      <td> 825875</td>\n",
        "      <td> 870716</td>\n",
        "      <td>  5.4</td>\n",
        "      <td> 2858.6</td>\n",
        "      <td> 2944.9</td>\n",
        "      <td>  86.3</td>\n",
        "      <td> 0.063663</td>\n",
        "      <td> 0.254003</td>\n",
        "      <td> 0.318971</td>\n",
        "      <td> 0.363364</td>\n",
        "      <td> 13.964072</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 10740</td>\n",
        "      <td>             Albuquerque, NM Metro Area</td>\n",
        "      <td> 189901</td>\n",
        "      <td> 144675</td>\n",
        "      <td> 334576</td>\n",
        "      <td> 0.567587</td>\n",
        "      <td>  True</td>\n",
        "      <td> 729649</td>\n",
        "      <td> 887077</td>\n",
        "      <td> 21.6</td>\n",
        "      <td> 3310.2</td>\n",
        "      <td> 3518.6</td>\n",
        "      <td> 208.4</td>\n",
        "      <td> 0.116345</td>\n",
        "      <td> 0.243287</td>\n",
        "      <td> 0.341785</td>\n",
        "      <td> 0.298582</td>\n",
        "      <td> 13.645208</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 10780</td>\n",
        "      <td>              Alexandria, LA Metro Area</td>\n",
        "      <td>  21461</td>\n",
        "      <td>  44269</td>\n",
        "      <td>  65730</td>\n",
        "      <td> 0.326502</td>\n",
        "      <td> False</td>\n",
        "      <td> 145035</td>\n",
        "      <td> 153922</td>\n",
        "      <td>  6.1</td>\n",
        "      <td>  845.0</td>\n",
        "      <td>  803.2</td>\n",
        "      <td> -41.8</td>\n",
        "      <td> 0.170721</td>\n",
        "      <td> 0.363467</td>\n",
        "      <td> 0.307582</td>\n",
        "      <td> 0.158230</td>\n",
        "      <td> 12.906644</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "   MSA_NUM                                MSA_NAME  OBAMA_NUM  ROMNEY_NUM  \\\n",
        "0    10180                  Abilene, TX Metro Area      11701       41487   \n",
        "1    10420                    Akron, OH Metro Area     185228      143165   \n",
        "2    10580  Albany-Schenectady-Troy, NY Metro Area     203119      147555   \n",
        "3    10740              Albuquerque, NM Metro Area     189901      144675   \n",
        "4    10780               Alexandria, LA Metro Area      21461       44269   \n",
        "\n",
        "   TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  POP_2000  POP_2010  POP_PCT_CHANGE  \\\n",
        "0        53188   0.219993     False    160245    165252             3.1   \n",
        "1       328393   0.564044      True    694960    703200             1.2   \n",
        "2       350674   0.579225      True    825875    870716             5.4   \n",
        "3       334576   0.567587      True    729649    887077            21.6   \n",
        "4        65730   0.326502     False    145035    153922             6.1   \n",
        "\n",
        "   POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE    EDU_10    EDU_12  \\\n",
        "0            1903.0            1771.8              -131.2  0.161588  0.300035   \n",
        "1            2682.9            2412.8              -270.1  0.072797  0.321001   \n",
        "2            2858.6            2944.9                86.3  0.063663  0.254003   \n",
        "3            3310.2            3518.6               208.4  0.116345  0.243287   \n",
        "4             845.0             803.2               -41.8  0.170721  0.363467   \n",
        "\n",
        "     EDU_14    EDU_16    EDU_AVG  \n",
        "0  0.331595  0.206781  13.167140  \n",
        "1  0.301059  0.305143  13.677097  \n",
        "2  0.318971  0.363364  13.964072  \n",
        "3  0.341785  0.298582  13.645208  \n",
        "4  0.307582  0.158230  12.906644  "
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def plotLinReg(title, X_col, xlabel, Y, ylabel):\n",
      "    X = X_col[:, np.newaxis]\n",
      "    X_train, X_test, Y_train, Y_test = sklearn.cross_validation.train_test_split(X, Y, test_size = .5, random_state = 5)\n",
      "\n",
      "    regr = linear_model.LinearRegression()\n",
      "    regr.fit(X_train, Y_train)\n",
      "\n",
      "    plt.axhline(y=0.5,xmin=0,xmax=max(X),c=\"grey\",linewidth=3, zorder=3)\n",
      "    plt.scatter(X, Y,  color='blue', zorder=5)\n",
      "    plt.plot(X_test, regr.predict(X_test), color='red',\n",
      "             linewidth=3, zorder=4)\n",
      "\n",
      "    plt.ylabel(ylabel)\n",
      "    plt.xlabel(xlabel)\n",
      "    plt.title(title)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 54
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "B) Correlation between Population Density and Obama Vote Percentage"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plotLinReg(\"Population Density vs Obama Percentage\",\n",
      "           df.POP_DENSITY_2010, \"Popululation Density (people per square mile)\",\n",
      "           df.OBAMA_PCT, \"% of votes for Obama\")\n",
      "plt.savefig(\"images/votes-density-unfiltered.jpg\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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7BEE15YvGd6vS3p00KUCjSqVSqa6utSYClVS27LLL8sknn3DRRRfd3ta1SABX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\nQvgN8HXgGzHGzQ0YnzRpJrq1zuLFGS6//CAGBmp5T6h6+er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76KCDDLIHmHvvPb4gfD34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\nSUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x109f07f10>"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "As we can see, there are a few very population dense outliers.<br>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df[df.POP_DENSITY_2010 > 10000].sort(\"POP_DENSITY_2010\", ascending=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>194</th>\n",
        "      <td> 35620</td>\n",
        "      <td> New York-Northern New Jersey-Long Island, NY-N...</td>\n",
        "      <td> 3852335</td>\n",
        "      <td> 2059511</td>\n",
        "      <td> 5911846</td>\n",
        "      <td> 0.651630</td>\n",
        "      <td> True</td>\n",
        "      <td> 18323002</td>\n",
        "      <td> 18897109</td>\n",
        "      <td> 3.1</td>\n",
        "      <td> 31683.6</td>\n",
        "      <td> 31251.4</td>\n",
        "      <td>-432.2</td>\n",
        "      <td> 0.129354</td>\n",
        "      <td> 0.243847</td>\n",
        "      <td> 0.234864</td>\n",
        "      <td> 0.391935</td>\n",
        "      <td> 13.778762</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>240</th>\n",
        "      <td> 41860</td>\n",
        "      <td>      San Francisco-Oakland-Fremont, CA Metro Area</td>\n",
        "      <td> 1161260</td>\n",
        "      <td>  339122</td>\n",
        "      <td> 1500382</td>\n",
        "      <td> 0.773976</td>\n",
        "      <td> True</td>\n",
        "      <td>  4123740</td>\n",
        "      <td>  4335391</td>\n",
        "      <td> 5.1</td>\n",
        "      <td> 12438.4</td>\n",
        "      <td> 12144.9</td>\n",
        "      <td>-293.4</td>\n",
        "      <td> 0.110650</td>\n",
        "      <td> 0.163766</td>\n",
        "      <td> 0.262930</td>\n",
        "      <td> 0.462654</td>\n",
        "      <td> 14.155177</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>163</th>\n",
        "      <td> 31100</td>\n",
        "      <td>   Los Angeles-Long Beach-Santa Ana, CA Metro Area</td>\n",
        "      <td> 2129241</td>\n",
        "      <td> 1241192</td>\n",
        "      <td> 3370433</td>\n",
        "      <td> 0.631741</td>\n",
        "      <td> True</td>\n",
        "      <td> 12365627</td>\n",
        "      <td> 12828837</td>\n",
        "      <td> 3.7</td>\n",
        "      <td> 12442.0</td>\n",
        "      <td> 12113.9</td>\n",
        "      <td>-328.1</td>\n",
        "      <td> 0.207889</td>\n",
        "      <td> 0.195260</td>\n",
        "      <td> 0.275322</td>\n",
        "      <td> 0.321528</td>\n",
        "      <td> 13.420979</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>113</th>\n",
        "      <td> 26180</td>\n",
        "      <td>                           Honolulu, HI Metro Area</td>\n",
        "      <td>  201803</td>\n",
        "      <td>   87255</td>\n",
        "      <td>  289058</td>\n",
        "      <td> 0.698140</td>\n",
        "      <td> True</td>\n",
        "      <td>   876156</td>\n",
        "      <td>   953207</td>\n",
        "      <td> 8.8</td>\n",
        "      <td> 10977.5</td>\n",
        "      <td> 11548.2</td>\n",
        "      <td> 570.7</td>\n",
        "      <td> 0.068770</td>\n",
        "      <td> 0.248472</td>\n",
        "      <td> 0.348207</td>\n",
        "      <td> 0.334550</td>\n",
        "      <td> 13.897076</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "     MSA_NUM                                           MSA_NAME  OBAMA_NUM  \\\n",
        "194    35620  New York-Northern New Jersey-Long Island, NY-N...    3852335   \n",
        "240    41860       San Francisco-Oakland-Fremont, CA Metro Area    1161260   \n",
        "163    31100    Los Angeles-Long Beach-Santa Ana, CA Metro Area    2129241   \n",
        "113    26180                            Honolulu, HI Metro Area     201803   \n",
        "\n",
        "     ROMNEY_NUM  TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  POP_2000  POP_2010  \\\n",
        "194     2059511      5911846   0.651630      True  18323002  18897109   \n",
        "240      339122      1500382   0.773976      True   4123740   4335391   \n",
        "163     1241192      3370433   0.631741      True  12365627  12828837   \n",
        "113       87255       289058   0.698140      True    876156    953207   \n",
        "\n",
        "     POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE  \\\n",
        "194             3.1           31683.6           31251.4              -432.2   \n",
        "240             5.1           12438.4           12144.9              -293.4   \n",
        "163             3.7           12442.0           12113.9              -328.1   \n",
        "113             8.8           10977.5           11548.2               570.7   \n",
        "\n",
        "       EDU_10    EDU_12    EDU_14    EDU_16    EDU_AVG  \n",
        "194  0.129354  0.243847  0.234864  0.391935  13.778762  \n",
        "240  0.110650  0.163766  0.262930  0.462654  14.155177  \n",
        "163  0.207889  0.195260  0.275322  0.321528  13.420979  \n",
        "113  0.068770  0.248472  0.348207  0.334550  13.897076  "
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's see if the correlation still holds when we remove these highly dense MSA's.<br>The chart below shows our new highest population dense MSA's."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df_original = df.copy()\n",
      "df = df[pd.isnull(df.POP_DENSITY_2010) == False]\n",
      "df = df[pd.isnull(df.EDU_AVG) == False]\n",
      "df = df[df.POP_DENSITY_2010 < 10000]\n",
      "df.sort(\"POP_DENSITY_2010\", ascending=False).head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>47 </th>\n",
        "      <td> 16980</td>\n",
        "      <td>    Chicago-Joliet-Naperville, IL-IN-WI Metro Area</td>\n",
        "      <td> 2337624</td>\n",
        "      <td> 1282464</td>\n",
        "      <td> 3620088</td>\n",
        "      <td> 0.645737</td>\n",
        "      <td> True</td>\n",
        "      <td> 9098316</td>\n",
        "      <td> 9461105</td>\n",
        "      <td>  4.0</td>\n",
        "      <td> 9829.6</td>\n",
        "      <td> 8613.4</td>\n",
        "      <td>   NaN</td>\n",
        "      <td> 0.116868</td>\n",
        "      <td> 0.234737</td>\n",
        "      <td> 0.279802</td>\n",
        "      <td> 0.368593</td>\n",
        "      <td> 13.800239</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>241</th>\n",
        "      <td> 41940</td>\n",
        "      <td>     San Jose-Sunnyvale-Santa Clara, CA Metro Area</td>\n",
        "      <td>  351856</td>\n",
        "      <td>  142399</td>\n",
        "      <td>  494255</td>\n",
        "      <td> 0.711892</td>\n",
        "      <td> True</td>\n",
        "      <td> 1735819</td>\n",
        "      <td> 1836911</td>\n",
        "      <td>  5.8</td>\n",
        "      <td> 8300.4</td>\n",
        "      <td> 8417.7</td>\n",
        "      <td> 117.3</td>\n",
        "      <td> 0.122293</td>\n",
        "      <td> 0.152168</td>\n",
        "      <td> 0.250334</td>\n",
        "      <td> 0.475204</td>\n",
        "      <td> 14.156899</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>207</th>\n",
        "      <td> 37980</td>\n",
        "      <td> Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Me...</td>\n",
        "      <td> 1754922</td>\n",
        "      <td>  966623</td>\n",
        "      <td> 2721545</td>\n",
        "      <td> 0.644826</td>\n",
        "      <td> True</td>\n",
        "      <td> 5687147</td>\n",
        "      <td> 5965343</td>\n",
        "      <td>  4.9</td>\n",
        "      <td> 8064.3</td>\n",
        "      <td> 7773.2</td>\n",
        "      <td>-291.1</td>\n",
        "      <td> 0.088707</td>\n",
        "      <td> 0.292180</td>\n",
        "      <td> 0.260006</td>\n",
        "      <td> 0.359108</td>\n",
        "      <td> 13.779030</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>238</th>\n",
        "      <td> 41740</td>\n",
        "      <td>      San Diego-Carlsbad-San Marcos, CA Metro Area</td>\n",
        "      <td>  478386</td>\n",
        "      <td>  431046</td>\n",
        "      <td>  909432</td>\n",
        "      <td> 0.526027</td>\n",
        "      <td> True</td>\n",
        "      <td> 2813833</td>\n",
        "      <td> 3095313</td>\n",
        "      <td> 10.0</td>\n",
        "      <td> 7094.4</td>\n",
        "      <td> 6920.5</td>\n",
        "      <td>-173.9</td>\n",
        "      <td> 0.136432</td>\n",
        "      <td> 0.186498</td>\n",
        "      <td> 0.330293</td>\n",
        "      <td> 0.346778</td>\n",
        "      <td> 13.774835</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>151</th>\n",
        "      <td> 29820</td>\n",
        "      <td>                 Las Vegas-Paradise, NV Metro Area</td>\n",
        "      <td>  387978</td>\n",
        "      <td>  288223</td>\n",
        "      <td>  676201</td>\n",
        "      <td> 0.573761</td>\n",
        "      <td> True</td>\n",
        "      <td> 1375765</td>\n",
        "      <td> 1951269</td>\n",
        "      <td> 41.8</td>\n",
        "      <td> 6781.8</td>\n",
        "      <td> 6527.2</td>\n",
        "      <td>-254.6</td>\n",
        "      <td> 0.155833</td>\n",
        "      <td> 0.293786</td>\n",
        "      <td> 0.331123</td>\n",
        "      <td> 0.219258</td>\n",
        "      <td> 13.227614</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "     MSA_NUM                                           MSA_NAME  OBAMA_NUM  \\\n",
        "47     16980     Chicago-Joliet-Naperville, IL-IN-WI Metro Area    2337624   \n",
        "241    41940      San Jose-Sunnyvale-Santa Clara, CA Metro Area     351856   \n",
        "207    37980  Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Me...    1754922   \n",
        "238    41740       San Diego-Carlsbad-San Marcos, CA Metro Area     478386   \n",
        "151    29820                  Las Vegas-Paradise, NV Metro Area     387978   \n",
        "\n",
        "     ROMNEY_NUM  TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  POP_2000  POP_2010  \\\n",
        "47      1282464      3620088   0.645737      True   9098316   9461105   \n",
        "241      142399       494255   0.711892      True   1735819   1836911   \n",
        "207      966623      2721545   0.644826      True   5687147   5965343   \n",
        "238      431046       909432   0.526027      True   2813833   3095313   \n",
        "151      288223       676201   0.573761      True   1375765   1951269   \n",
        "\n",
        "     POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE  \\\n",
        "47              4.0            9829.6            8613.4                 NaN   \n",
        "241             5.8            8300.4            8417.7               117.3   \n",
        "207             4.9            8064.3            7773.2              -291.1   \n",
        "238            10.0            7094.4            6920.5              -173.9   \n",
        "151            41.8            6781.8            6527.2              -254.6   \n",
        "\n",
        "       EDU_10    EDU_12    EDU_14    EDU_16    EDU_AVG  \n",
        "47   0.116868  0.234737  0.279802  0.368593  13.800239  \n",
        "241  0.122293  0.152168  0.250334  0.475204  14.156899  \n",
        "207  0.088707  0.292180  0.260006  0.359108  13.779030  \n",
        "238  0.136432  0.186498  0.330293  0.346778  13.774835  \n",
        "151  0.155833  0.293786  0.331123  0.219258  13.227614  "
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Even when we remove those four, there is still a strong correlation."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plotLinReg(\"Population Density vs Obama Percentage (filtered)\",\n",
      "           df.POP_DENSITY_2010, \"Popululation Density (people per square mile)\",\n",
      "           df.OBAMA_PCT, \"% of votes for Obama\")\n",
      "plt.savefig(\"images/votes-density-filtered.jpg\")\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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j7oh/cvdjM8rcpnABOlLhwqonF2wrcff3zOw+dU2N0Jyj6KkK0yxtJemvZvaa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\nacawQ9f8t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       "text": [
        "<matplotlib.figure.Figure at 0x10b607a50>"
       ]
      }
     ],
     "prompt_number": 58
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "C) Interesting Sidenote: Maximum population density in which Obama lost"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can see from glancing at the above graph that Obama didn't lose a single MSA above about 5000 people per square mile.<br>The chart below shows the densest MSA's in which Obama lost. We can see that the 2010 density of Reading, PA (the densest) is only 4,657 people per mile"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df[df.OBAMA_WIN == False].sort(\"POP_DENSITY_2010\", ascending = False).head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>218</th>\n",
        "      <td> 39740</td>\n",
        "      <td>                     Reading, PA Metro Area</td>\n",
        "      <td>  79895</td>\n",
        "      <td>  80857</td>\n",
        "      <td>  160752</td>\n",
        "      <td> 0.497008</td>\n",
        "      <td> False</td>\n",
        "      <td>  373638</td>\n",
        "      <td>  411442</td>\n",
        "      <td> 10.1</td>\n",
        "      <td> 4316.3</td>\n",
        "      <td> 4656.8</td>\n",
        "      <td> 340.5</td>\n",
        "      <td> 0.125915</td>\n",
        "      <td> 0.365747</td>\n",
        "      <td> 0.254981</td>\n",
        "      <td> 0.253356</td>\n",
        "      <td> 13.271558</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>208</th>\n",
        "      <td> 38060</td>\n",
        "      <td>       Phoenix-Mesa-Glendale, AZ Metro Area</td>\n",
        "      <td> 553436</td>\n",
        "      <td> 713782</td>\n",
        "      <td> 1267218</td>\n",
        "      <td> 0.436733</td>\n",
        "      <td> False</td>\n",
        "      <td> 3251876</td>\n",
        "      <td> 4192887</td>\n",
        "      <td> 28.9</td>\n",
        "      <td> 5028.4</td>\n",
        "      <td> 4394.9</td>\n",
        "      <td>-633.4</td>\n",
        "      <td> 0.136396</td>\n",
        "      <td> 0.228553</td>\n",
        "      <td> 0.346807</td>\n",
        "      <td> 0.288244</td>\n",
        "      <td> 13.573796</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>193</th>\n",
        "      <td> 35380</td>\n",
        "      <td> New Orleans-Metairie-Kenner, LA Metro Area</td>\n",
        "      <td> 252643</td>\n",
        "      <td> 253524</td>\n",
        "      <td>  506167</td>\n",
        "      <td> 0.499130</td>\n",
        "      <td> False</td>\n",
        "      <td> 1316510</td>\n",
        "      <td> 1167764</td>\n",
        "      <td>-11.3</td>\n",
        "      <td> 6118.9</td>\n",
        "      <td> 4370.2</td>\n",
        "      <td>   NaN</td>\n",
        "      <td> 0.136166</td>\n",
        "      <td> 0.283776</td>\n",
        "      <td> 0.302023</td>\n",
        "      <td> 0.278035</td>\n",
        "      <td> 13.443854</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>259</th>\n",
        "      <td> 44300</td>\n",
        "      <td>               State College, PA Metro Area</td>\n",
        "      <td>  33677</td>\n",
        "      <td>  33697</td>\n",
        "      <td>   67374</td>\n",
        "      <td> 0.499852</td>\n",
        "      <td> False</td>\n",
        "      <td>  135758</td>\n",
        "      <td>  153990</td>\n",
        "      <td> 13.4</td>\n",
        "      <td> 4106.6</td>\n",
        "      <td> 4366.2</td>\n",
        "      <td> 259.6</td>\n",
        "      <td> 0.054689</td>\n",
        "      <td> 0.298789</td>\n",
        "      <td> 0.217584</td>\n",
        "      <td> 0.428938</td>\n",
        "      <td> 14.041541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>95 </th>\n",
        "      <td> 23420</td>\n",
        "      <td>                      Fresno, CA Metro Area</td>\n",
        "      <td>  85862</td>\n",
        "      <td>  91143</td>\n",
        "      <td>  177005</td>\n",
        "      <td> 0.485082</td>\n",
        "      <td> False</td>\n",
        "      <td>  799407</td>\n",
        "      <td>  930450</td>\n",
        "      <td> 16.4</td>\n",
        "      <td> 4168.7</td>\n",
        "      <td> 4216.1</td>\n",
        "      <td>  47.4</td>\n",
        "      <td> 0.261997</td>\n",
        "      <td> 0.226484</td>\n",
        "      <td> 0.317965</td>\n",
        "      <td> 0.193554</td>\n",
        "      <td> 12.886153</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 59,
       "text": [
        "     MSA_NUM                                    MSA_NAME  OBAMA_NUM  \\\n",
        "218    39740                      Reading, PA Metro Area      79895   \n",
        "208    38060        Phoenix-Mesa-Glendale, AZ Metro Area     553436   \n",
        "193    35380  New Orleans-Metairie-Kenner, LA Metro Area     252643   \n",
        "259    44300                State College, PA Metro Area      33677   \n",
        "95     23420                       Fresno, CA Metro Area      85862   \n",
        "\n",
        "     ROMNEY_NUM  TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  POP_2000  POP_2010  \\\n",
        "218       80857       160752   0.497008     False    373638    411442   \n",
        "208      713782      1267218   0.436733     False   3251876   4192887   \n",
        "193      253524       506167   0.499130     False   1316510   1167764   \n",
        "259       33697        67374   0.499852     False    135758    153990   \n",
        "95        91143       177005   0.485082     False    799407    930450   \n",
        "\n",
        "     POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE  \\\n",
        "218            10.1            4316.3            4656.8               340.5   \n",
        "208            28.9            5028.4            4394.9              -633.4   \n",
        "193           -11.3            6118.9            4370.2                 NaN   \n",
        "259            13.4            4106.6            4366.2               259.6   \n",
        "95             16.4            4168.7            4216.1                47.4   \n",
        "\n",
        "       EDU_10    EDU_12    EDU_14    EDU_16    EDU_AVG  \n",
        "218  0.125915  0.365747  0.254981  0.253356  13.271558  \n",
        "208  0.136396  0.228553  0.346807  0.288244  13.573796  \n",
        "193  0.136166  0.283776  0.302023  0.278035  13.443854  \n",
        "259  0.054689  0.298789  0.217584  0.428938  14.041541  \n",
        "95   0.261997  0.226484  0.317965  0.193554  12.886153  "
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "D) Correlation between Educational Attainment and Obama Vote Percentage"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plotLinReg(\"Educational Attainment vs Obama Percentage\",\n",
      "           df.EDU_AVG, \"Educational Attainment\",\n",
      "           df.OBAMA_PCT, \"% of votes for Obama\")\n",
      "\n",
      "plt.savefig(\"images/votes-education.jpg\")\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Um03NzOZ7bAGlmfhmNxgpAdyllFYMk5QsXH3AdhAlQ7ie8j3QzH9U+96VkuVt9O0W+x1R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\nc7y6ZMnpMcafNfnYE19PPlBn/8T2mv8tQwhzqLR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f0/D902iBrmc2E+9MlPOss+bNeN/p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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x109f01790>"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Part 4: Clustering"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "2-dimensional clustering K-means clustering based on Population Density and Educational Attainment<br>\n",
      "<i>(The population dense outliers are so far out they create their own cluster, so we will again ignore those four areas that we ignored in the population density correlations)</i>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "A) Cluster Evaluation"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We evaluate the quality of clusters for different numbers of clusters used"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "X = df.POP_DENSITY_2010.values\n",
      "Y = df.EDU_AVG.values\n",
      "X_scaler = StandardScaler(with_std=True)\n",
      "scaled_X = X_scaler.fit_transform(X)\n",
      "Y_scaler = StandardScaler(with_std=True)\n",
      "scaled_Y = Y_scaler.fit_transform(Y)\n",
      "\n",
      "def evaluate_clustering(X, max_k):\n",
      "    inertia = []\n",
      "    inertia.append(0)\n",
      "    for k in range(1, max_k + 1):\n",
      "        kmeans = KMeans(init='k-means++', n_clusters=k, n_init=5)\n",
      "        kmeans.fit_predict(X)\n",
      "        inertia.append(kmeans.inertia_)\n",
      "    return inertia\n",
      "\n",
      "data = hstack((atleast_2d(scaled_X).T, atleast_2d(scaled_Y).T))\n",
      "inertia_k = evaluate_clustering(data, 15)\n",
      "\n",
      "ax = plt.subplot(111)\n",
      "ax.plot(inertia_k)\n",
      "plt.xlabel('Number of clusters')\n",
      "plt.ylabel('Inertia')\n",
      "ax.set_xlim(1, len(inertia_k))\n",
      "plt.savefig(\"images/cluster-eval.jpg\")\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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kSZISZdksM1WpFB3tLezvP86RYyeTjiNJkiSpQlk2y1AmnX+U1tlNSZIkSQmx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       "text": [
        "<matplotlib.figure.Figure at 0x10ed7bf90>"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Two clusters are of course a vast improvement over one cluster, but four clusters is even better. We will calculate and analyze both a 2-Clustering and a 4-Clustering"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "color_list_full = [(\"#D2691E\", \"Brown\"), (\"#1E90FF\", \"Blue\"), (\"#3CB371\", \"Green\"), (\"#9400D3\", \"Purple\")]\n",
      "color_list = [a for (a, b) in color_list_full]\n",
      "\n",
      "def cluster(n_clusters):\n",
      "    k_means = KMeans(init='k-means++', n_clusters=n_clusters, n_init=10)\n",
      "    k_means.fit_predict(data)\n",
      "    k_means_labels = k_means.labels_\n",
      "    df[\"CLUSTER_{}\".format(n_clusters)] = k_means_labels\n",
      "    k_means_cluster_centers = k_means.cluster_centers_\n",
      "    k_means_labels_unique = np.unique(k_means_labels)\n",
      "\n",
      "    # KMeans\n",
      "    for k, col in zip(range(n_clusters), color_list[:n_clusters]):\n",
      "        my_members = k_means_labels == k  \n",
      "        cluster_center = k_means_cluster_centers[k]\n",
      "        plt.plot(data[my_members, 0], data[my_members, 1], 'w',\n",
      "                markerfacecolor=col, marker='.')\n",
      "        plt.plot(cluster_center[0], cluster_center[1], 'o', markerfacecolor=\"#2F4F4F\",\n",
      "                markeredgecolor='k', markersize=6)\n",
      "\n",
      "    # plt.text(-3.5, 1.8,  'train time: %.2fs\\ninertia: %f' % (\n",
      "    #     t_batch, k_means.inertia_))\n",
      "\n",
      "    plt.xlabel(\"Population Density\", fontsize=\"18\")\n",
      "    plt.ylabel(\"Educational Attainment\", fontsize=\"18\")\n",
      "    plt.savefig(\"images/{}-cluster.jpg\".format(n_clusters))\n",
      "    plt.show()\n",
      "    return k_means_labels\n",
      "#     analyzeCluster(n_clusters, k_means_labels)\n",
      "\n",
      "def analyzeCluster(n_clusters, labels):\n",
      "    titles=[\"Population Density\", \"Educational Attainment\"]\n",
      "    titles = [\"Population Density\"]\n",
      "\n",
      "    plt.rcParams['figure.figsize'] = (14,7 * n_clusters)\n",
      "    for i, label in enumerate(set(labels)):\n",
      "        point_indices = where(labels == label)[0]\n",
      "        point_indices = point_indices.tolist()\n",
      "        cluster = df.iloc[point_indices]\n",
      "        obama = cluster.OBAMA_PCT.mean()\n",
      "        print \"Cluster {} ({}):\\n\\tSize: {}\\n\\tAvg Pop Density: {}\\n\\tAvg Edu Lvl: {}\\n\\tObama Avg Pct: {}%\".format(i+1, color_list_full[i][1], len(point_indices), round(cluster.POP_DENSITY_2010.mean(), 2), round(cluster.EDU_AVG.mean(), 2), round(cluster.OBAMA_PCT.mean() * 100, 2))\n",
      "        with sns.axes_style('darkgrid'):\n",
      "            ax = plt.subplot(n_clusters, 3, 3 * i + 1)\n",
      "            sns.violinplot(cluster[['OBAMA_PCT']],\n",
      "                           color=color_list[i],\n",
      "                           ax=ax,\n",
      "                           names=[\"% Of Obama Votes\"])\n",
      "            ax.set_title(\"Cluster %d\" % (i + 1))\n",
      "            ax = plt.subplot(n_clusters, 3, 3 * i + 2)\n",
      "            sns.violinplot(cluster[['POP_DENSITY_2010']],\n",
      "                           color=color_list[i],\n",
      "                           ax=ax,\n",
      "                           names=[\"Population Density\"])\n",
      "            ax = plt.subplot(n_clusters, 3, 3 * i + 3)\n",
      "            sns.violinplot(cluster[['EDU_AVG']],\n",
      "                           ax=ax,\n",
      "                           color=color_list[i],\n",
      "                           names=[\"Educational Attainment\"])\n",
      "    plt.rcParams['figure.figsize'] = (15,12)\n",
      "    plt.savefig(\"images/{}-cluster-analysis.jpg\".format(n_clusters))\n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 62
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "B) 2-Clustering"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "labels = cluster(2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Mt7cTDIcJRqME43Ey/RoFB9+DydUYRERE5+NkgiKA/wDAPwPgfwbwx25ubsZP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\nFAaKRERERERElMJAkYiIiIiIiFL+P9nwkZccvey6AAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10a641550>"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "analyzeCluster(2, labels)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Cluster 1 (Brown):\n",
        "\tSize: 110\n",
        "\tAvg Pop Density: 3279.06\n",
        "\tAvg Edu Lvl: 13.82\n",
        "\tObama Avg Pct: 53.62%\n",
        "Cluster 2 (Blue):\n",
        "\tSize: 181\n",
        "\tAvg Pop Density: 1596.0\n",
        "\tAvg Edu Lvl: 13.29\n",
        "\tObama Avg Pct: 42.34%"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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N3Hrr7cEncX8GjsT+fA9sWHhBRJ4Ffol9+HEjdp7iS8AZIlLeoO0HwHnYidfX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UAAAg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\n9GRikL3R4gAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10debc4d0>"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The 2-clustering groups these MSA's into a higher educated higher density cluster, and a low density low educated cluster. We can see that Obama did better in the high education high density cluster, about 53%. Versus the other cluster where he fared only about 42%."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "C) 4-Clustering"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "labels = cluster(4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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OixfPH/oy9pptPw0CU1W0lcJFayaalUbXNUFRCKDd9u51gI1SEr7vIM/vb7IqERERHTYG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\nMp51wPoAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10f645cd0>"
       ]
      }
     ],
     "prompt_number": 65
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "analyzeCluster(4, labels)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Cluster 1 (Brown):\n",
        "\tSize: 113\n",
        "\tAvg Pop Density: 2191.07\n",
        "\tAvg Edu Lvl: 13.8\n",
        "\tObama Avg Pct: 49.58%\n",
        "Cluster 2 (Blue):\n",
        "\tSize: 124\n",
        "\tAvg Pop Density: 1336.16\n",
        "\tAvg Edu Lvl: 13.26\n",
        "\tObama Avg Pct: 40.31%"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Cluster 3 (Green):\n",
        "\tSize: 23\n",
        "\tAvg Pop Density: 3443.21\n",
        "\tAvg Edu Lvl: 12.81\n",
        "\tObama Avg Pct: 51.88%"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Cluster 4 (Purple):\n",
        "\tSize: 31\n",
        "\tAvg Pop Density: 5067.87\n",
        "\tAvg Edu Lvl: 13.73\n",
        "\tObama Avg Pct: 57.02%"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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thzHnYc1jvA64APgY+K0xZnMoP5iKLt/M+YJ2ab79CzUCpCRaD1oWLpiPy+WM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\nYxUXFzPtkyn0auOmW6YOp4t2mcl+Ts6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5j3OS3XRN1vcg1k/2OIlv0IIxz03UNQ5ReX8i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vZX9KI1W9GuU82coIPrWJ0BM/YjDo6HfnQK677gYMBu/ranhfYi+yadNPbN+2FVPTPpRGttY6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\nBkbevR4Bvo5bh+a+Rr6O1izycDqzjjTn4Frb9uchzlZSNw2iqp/gWpUCuG4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jD4p51D29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bsKYdEe2ZYcZTBVnQHMaGLbDuBPwX8t7eeQJu5fRAujX0zn9vwLz1JfV0/2yNav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kJfmSo2Ivbo+HmBiZ+RTmVgPNlVLR1TzXDrCANZXauoCsGtqCU9K7om3l44dq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1PS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\nRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10b697a50>"
       ]
      }
     ],
     "prompt_number": 66
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can see that two clusters are especially interesting to us. One is a smaller cluster, very dense, and highly educated. In that cluster, Obama fared well, about 57%. On the other hand we see a low density low educated cluster where Obama fared poorly, about 41%."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Part 5: Cartographic Data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The Center for Climate and Energy Solutions <a href=\"https://c2es.cartodb.com/tables/msa/public/map\">published the geolocations for US MSA's</a>. In order to map the clusterings, we import this data and merge it with the existing data set.\n",
      "\n",
      "Check out the resulting maps imported into CartoDB:<br>\n",
      "<a href=\"https://adlaigordon.cartodb.com/viz/014d6a78-ee40-11e4-9619-0e8dde98a187/public_map\">2 Clustering</a><br>\n",
      "<a href=\"https://adlaigordon.cartodb.com/viz/c230fac8-ee42-11e4-ab30-0e018d66dc29/public_map\">4 Clustering</a>\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msa_list = pd.read_csv(\"csv_in/msa_list.csv\")\n",
      "msa_name_to_num = {}\n",
      "for ind, data in msa_list.iterrows():\n",
      "    msa_name_to_num[data.MSA_NAME] = data.MSA_NUM\n",
      "\n",
      "msa_carto = pd.read_csv(\"csv_in/msa_carto.csv\")\n",
      "msa_carto.rename(columns={'name': 'MSA_NAME'}, inplace=True)\n",
      "msa_carto = msa_carto.drop_duplicates(subset=\"MSA_NAME\")\n",
      "msa_carto = msa_carto.drop([\"msacmsa\", \"type\", \"created_at\", \"updated_at\", \"cartodb_id\"], 1)\n",
      "msa_carto = msa_carto[msa_carto.MSA_NAME.str.contains(\", PR\") == False]\n",
      "\n",
      "for ind, data in msa_carto.iterrows():\n",
      "    name = difflib.get_close_matches(str(data.MSA_NAME), msa_name_to_num.keys(), 1, .2)\n",
      "    num = msa_name_to_num[name[0]]\n",
      "    msa_carto.loc[ind, \"MSA_NAME_FOUND\"] = name[0]\n",
      "    msa_carto.loc[ind, \"MSA_NUM\"] = num\n",
      "\n",
      "msa_carto = msa_carto.drop([\"MSA_NAME\", \"MSA_NAME_FOUND\"], 1)\n",
      "df_carto = df.merge(right=msa_carto, on=\"MSA_NUM\")\n",
      "df_carto.to_csv(\"csv_out/df_carto.csv\")    \n",
      "df_carto.head()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>...</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "      <th>CLUSTER_2</th>\n",
        "      <th>CLUSTER_4</th>\n",
        "      <th>area</th>\n",
        "      <th>perimeter</th>\n",
        "      <th>longitude</th>\n",
        "      <th>latitude</th>\n",
        "      <th>the_geom</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 10180</td>\n",
        "      <td>                       Abilene, TX Metro Area</td>\n",
        "      <td>  11701</td>\n",
        "      <td>  41487</td>\n",
        "      <td>  53188</td>\n",
        "      <td> 0.219993</td>\n",
        "      <td> False</td>\n",
        "      <td> 160245</td>\n",
        "      <td> 165252</td>\n",
        "      <td>  3.1</td>\n",
        "      <td>...</td>\n",
        "      <td> 0.331595</td>\n",
        "      <td> 0.206781</td>\n",
        "      <td> 13.167140</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0.227950</td>\n",
        "      <td> 1.925191</td>\n",
        "      <td> -99.890071</td>\n",
        "      <td> 32.302139</td>\n",
        "      <td> 0106000020E6100000010000000103000000010000005A...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 10580</td>\n",
        "      <td>       Albany-Schenectady-Troy, NY Metro Area</td>\n",
        "      <td> 203119</td>\n",
        "      <td> 147555</td>\n",
        "      <td> 350674</td>\n",
        "      <td> 0.579225</td>\n",
        "      <td>  True</td>\n",
        "      <td> 825875</td>\n",
        "      <td> 870716</td>\n",
        "      <td>  5.4</td>\n",
        "      <td>...</td>\n",
        "      <td> 0.318971</td>\n",
        "      <td> 0.363364</td>\n",
        "      <td> 13.964072</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.937307</td>\n",
        "      <td> 5.338503</td>\n",
        "      <td> -74.018758</td>\n",
        "      <td> 42.876503</td>\n",
        "      <td> 0106000020E61000000100000001030000000100000016...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 10740</td>\n",
        "      <td>                   Albuquerque, NM Metro Area</td>\n",
        "      <td> 189901</td>\n",
        "      <td> 144675</td>\n",
        "      <td> 334576</td>\n",
        "      <td> 0.567587</td>\n",
        "      <td>  True</td>\n",
        "      <td> 729649</td>\n",
        "      <td> 887077</td>\n",
        "      <td> 21.6</td>\n",
        "      <td>...</td>\n",
        "      <td> 0.341785</td>\n",
        "      <td> 0.298582</td>\n",
        "      <td> 13.645208</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.000206</td>\n",
        "      <td> 0.082351</td>\n",
        "      <td>-106.255318</td>\n",
        "      <td> 35.847518</td>\n",
        "      <td> 0106000020E6100000010000000103000000010000000D...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 10780</td>\n",
        "      <td>                    Alexandria, LA Metro Area</td>\n",
        "      <td>  21461</td>\n",
        "      <td>  44269</td>\n",
        "      <td>  65730</td>\n",
        "      <td> 0.326502</td>\n",
        "      <td> False</td>\n",
        "      <td> 145035</td>\n",
        "      <td> 153922</td>\n",
        "      <td>  6.1</td>\n",
        "      <td>...</td>\n",
        "      <td> 0.307582</td>\n",
        "      <td> 0.158230</td>\n",
        "      <td> 12.906644</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 0.333852</td>\n",
        "      <td> 3.398299</td>\n",
        "      <td> -92.531215</td>\n",
        "      <td> 31.203393</td>\n",
        "      <td> 0106000020E610000001000000010300000001000000D5...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 10900</td>\n",
        "      <td> Allentown-Bethlehem-Easton, PA-NJ Metro Area</td>\n",
        "      <td> 170952</td>\n",
        "      <td> 162738</td>\n",
        "      <td> 333690</td>\n",
        "      <td> 0.512308</td>\n",
        "      <td>  True</td>\n",
        "      <td> 740395</td>\n",
        "      <td> 821173</td>\n",
        "      <td> 10.9</td>\n",
        "      <td>...</td>\n",
        "      <td> 0.282193</td>\n",
        "      <td> 0.295476</td>\n",
        "      <td> 13.564746</td>\n",
        "      <td> 0</td>\n",
        "      <td> 3</td>\n",
        "      <td> 0.307474</td>\n",
        "      <td> 3.318848</td>\n",
        "      <td> -75.497769</td>\n",
        "      <td> 40.776243</td>\n",
        "      <td> 0106000020E61000000100000001030000000100000031...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 25 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 67,
       "text": [
        "   MSA_NUM                                      MSA_NAME  OBAMA_NUM  \\\n",
        "0    10180                        Abilene, TX Metro Area      11701   \n",
        "1    10580        Albany-Schenectady-Troy, NY Metro Area     203119   \n",
        "2    10740                    Albuquerque, NM Metro Area     189901   \n",
        "3    10780                     Alexandria, LA Metro Area      21461   \n",
        "4    10900  Allentown-Bethlehem-Easton, PA-NJ Metro Area     170952   \n",
        "\n",
        "   ROMNEY_NUM  TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  POP_2000  POP_2010  \\\n",
        "0       41487        53188   0.219993     False    160245    165252   \n",
        "1      147555       350674   0.579225      True    825875    870716   \n",
        "2      144675       334576   0.567587      True    729649    887077   \n",
        "3       44269        65730   0.326502     False    145035    153922   \n",
        "4      162738       333690   0.512308      True    740395    821173   \n",
        "\n",
        "   POP_PCT_CHANGE       ...          EDU_14    EDU_16    EDU_AVG  CLUSTER_2  \\\n",
        "0             3.1       ...        0.331595  0.206781  13.167140          1   \n",
        "1             5.4       ...        0.318971  0.363364  13.964072          0   \n",
        "2            21.6       ...        0.341785  0.298582  13.645208          0   \n",
        "3             6.1       ...        0.307582  0.158230  12.906644          1   \n",
        "4            10.9       ...        0.282193  0.295476  13.564746          0   \n",
        "\n",
        "   CLUSTER_4      area  perimeter   longitude   latitude  \\\n",
        "0          1  0.227950   1.925191  -99.890071  32.302139   \n",
        "1          0  0.937307   5.338503  -74.018758  42.876503   \n",
        "2          0  0.000206   0.082351 -106.255318  35.847518   \n",
        "3          1  0.333852   3.398299  -92.531215  31.203393   \n",
        "4          3  0.307474   3.318848  -75.497769  40.776243   \n",
        "\n",
        "                                            the_geom  \n",
        "0  0106000020E6100000010000000103000000010000005A...  \n",
        "1  0106000020E61000000100000001030000000100000016...  \n",
        "2  0106000020E6100000010000000103000000010000000D...  \n",
        "3  0106000020E610000001000000010300000001000000D5...  \n",
        "4  0106000020E61000000100000001030000000100000031...  \n",
        "\n",
        "[5 rows x 25 columns]"
       ]
      }
     ],
     "prompt_number": 67
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Part 6: Conclusion"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The linear regressions showed us that there are correlations between certain demographic features and election results. The clusterings showed us that the groupings of these regions by their features can indicate electoral success.<br>\n",
      "While it is up to the sociologists and political scientists to explain why this phenomenon occurs, we have seen that it certainly does."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "The Full Dataset"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Including election results, population density, and educational attainment:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df_original"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>MSA_NUM</th>\n",
        "      <th>MSA_NAME</th>\n",
        "      <th>OBAMA_NUM</th>\n",
        "      <th>ROMNEY_NUM</th>\n",
        "      <th>TOTAL_VOTES</th>\n",
        "      <th>OBAMA_PCT</th>\n",
        "      <th>OBAMA_WIN</th>\n",
        "      <th>POP_2000</th>\n",
        "      <th>POP_2010</th>\n",
        "      <th>POP_PCT_CHANGE</th>\n",
        "      <th>POP_DENSITY_2000</th>\n",
        "      <th>POP_DENSITY_2010</th>\n",
        "      <th>POP_DENSITY_CHANGE</th>\n",
        "      <th>EDU_10</th>\n",
        "      <th>EDU_12</th>\n",
        "      <th>EDU_14</th>\n",
        "      <th>EDU_16</th>\n",
        "      <th>EDU_AVG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0  </th>\n",
        "      <td> 10180</td>\n",
        "      <td>                            Abilene, TX Metro Area</td>\n",
        "      <td>   11701</td>\n",
        "      <td>   41487</td>\n",
        "      <td>   53188</td>\n",
        "      <td> 0.219993</td>\n",
        "      <td> False</td>\n",
        "      <td>   160245</td>\n",
        "      <td>   165252</td>\n",
        "      <td>  3.1</td>\n",
        "      <td>  1903.0</td>\n",
        "      <td>  1771.8</td>\n",
        "      <td>-131.2</td>\n",
        "      <td> 0.161588</td>\n",
        "      <td> 0.300035</td>\n",
        "      <td> 0.331595</td>\n",
        "      <td> 0.206781</td>\n",
        "      <td> 13.167140</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1  </th>\n",
        "      <td> 10420</td>\n",
        "      <td>                              Akron, OH Metro Area</td>\n",
        "      <td>  185228</td>\n",
        "      <td>  143165</td>\n",
        "      <td>  328393</td>\n",
        "      <td> 0.564044</td>\n",
        "      <td>  True</td>\n",
        "      <td>   694960</td>\n",
        "      <td>   703200</td>\n",
        "      <td>  1.2</td>\n",
        "      <td>  2682.9</td>\n",
        "      <td>  2412.8</td>\n",
        "      <td>-270.1</td>\n",
        "      <td> 0.072797</td>\n",
        "      <td> 0.321001</td>\n",
        "      <td> 0.301059</td>\n",
        "      <td> 0.305143</td>\n",
        "      <td> 13.677097</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2  </th>\n",
        "      <td> 10580</td>\n",
        "      <td>            Albany-Schenectady-Troy, NY Metro Area</td>\n",
        "      <td>  203119</td>\n",
        "      <td>  147555</td>\n",
        "      <td>  350674</td>\n",
        "      <td> 0.579225</td>\n",
        "      <td>  True</td>\n",
        "      <td>   825875</td>\n",
        "      <td>   870716</td>\n",
        "      <td>  5.4</td>\n",
        "      <td>  2858.6</td>\n",
        "      <td>  2944.9</td>\n",
        "      <td>  86.3</td>\n",
        "      <td> 0.063663</td>\n",
        "      <td> 0.254003</td>\n",
        "      <td> 0.318971</td>\n",
        "      <td> 0.363364</td>\n",
        "      <td> 13.964072</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3  </th>\n",
        "      <td> 10740</td>\n",
        "      <td>                        Albuquerque, NM Metro Area</td>\n",
        "      <td>  189901</td>\n",
        "      <td>  144675</td>\n",
        "      <td>  334576</td>\n",
        "      <td> 0.567587</td>\n",
        "      <td>  True</td>\n",
        "      <td>   729649</td>\n",
        "      <td>   887077</td>\n",
        "      <td> 21.6</td>\n",
        "      <td>  3310.2</td>\n",
        "      <td>  3518.6</td>\n",
        "      <td> 208.4</td>\n",
        "      <td> 0.116345</td>\n",
        "      <td> 0.243287</td>\n",
        "      <td> 0.341785</td>\n",
        "      <td> 0.298582</td>\n",
        "      <td> 13.645208</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4  </th>\n",
        "      <td> 10780</td>\n",
        "      <td>                         Alexandria, LA Metro Area</td>\n",
        "      <td>   21461</td>\n",
        "      <td>   44269</td>\n",
        "      <td>   65730</td>\n",
        "      <td> 0.326502</td>\n",
        "      <td> False</td>\n",
        "      <td>   145035</td>\n",
        "      <td>   153922</td>\n",
        "      <td>  6.1</td>\n",
        "      <td>   845.0</td>\n",
        "      <td>   803.2</td>\n",
        "      <td> -41.8</td>\n",
        "      <td> 0.170721</td>\n",
        "      <td> 0.363467</td>\n",
        "      <td> 0.307582</td>\n",
        "      <td> 0.158230</td>\n",
        "      <td> 12.906644</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5  </th>\n",
        "      <td> 10900</td>\n",
        "      <td>      Allentown-Bethlehem-Easton, PA-NJ Metro Area</td>\n",
        "      <td>  170952</td>\n",
        "      <td>  162738</td>\n",
        "      <td>  333690</td>\n",
        "      <td> 0.512308</td>\n",
        "      <td>  True</td>\n",
        "      <td>   740395</td>\n",
        "      <td>   821173</td>\n",
        "      <td> 10.9</td>\n",
        "      <td>  3643.6</td>\n",
        "      <td>  3889.3</td>\n",
        "      <td> 245.7</td>\n",
        "      <td> 0.090772</td>\n",
        "      <td> 0.331558</td>\n",
        "      <td> 0.282193</td>\n",
        "      <td> 0.295476</td>\n",
        "      <td> 13.564746</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6  </th>\n",
        "      <td> 11020</td>\n",
        "      <td>                            Altoona, PA Metro Area</td>\n",
        "      <td>   15516</td>\n",
        "      <td>   31500</td>\n",
        "      <td>   47016</td>\n",
        "      <td> 0.330015</td>\n",
        "      <td> False</td>\n",
        "      <td>   129144</td>\n",
        "      <td>   127089</td>\n",
        "      <td> -1.6</td>\n",
        "      <td>  2755.7</td>\n",
        "      <td>  2428.7</td>\n",
        "      <td>-327.0</td>\n",
        "      <td> 0.059314</td>\n",
        "      <td> 0.484242</td>\n",
        "      <td> 0.256035</td>\n",
        "      <td> 0.200410</td>\n",
        "      <td> 13.195081</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7  </th>\n",
        "      <td> 11100</td>\n",
        "      <td>                           Amarillo, TX Metro Area</td>\n",
        "      <td>   15057</td>\n",
        "      <td>   63549</td>\n",
        "      <td>   78606</td>\n",
        "      <td> 0.191550</td>\n",
        "      <td> False</td>\n",
        "      <td>   226522</td>\n",
        "      <td>   249881</td>\n",
        "      <td> 10.3</td>\n",
        "      <td>  2743.6</td>\n",
        "      <td>  2591.4</td>\n",
        "      <td>-152.2</td>\n",
        "      <td> 0.152422</td>\n",
        "      <td> 0.243828</td>\n",
        "      <td> 0.371029</td>\n",
        "      <td> 0.232721</td>\n",
        "      <td> 13.368099</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8  </th>\n",
        "      <td> 11180</td>\n",
        "      <td>                               Ames, IA Metro Area</td>\n",
        "      <td>   25940</td>\n",
        "      <td>   19557</td>\n",
        "      <td>   45497</td>\n",
        "      <td> 0.570147</td>\n",
        "      <td>  True</td>\n",
        "      <td>    79981</td>\n",
        "      <td>    89542</td>\n",
        "      <td> 12.0</td>\n",
        "      <td>  2382.0</td>\n",
        "      <td>  2343.4</td>\n",
        "      <td> -38.6</td>\n",
        "      <td> 0.031097</td>\n",
        "      <td> 0.151416</td>\n",
        "      <td> 0.307523</td>\n",
        "      <td> 0.509964</td>\n",
        "      <td> 14.592708</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9  </th>\n",
        "      <td> 11300</td>\n",
        "      <td>                           Anderson, IN Metro Area</td>\n",
        "      <td>   24404</td>\n",
        "      <td>   26755</td>\n",
        "      <td>   51159</td>\n",
        "      <td> 0.477023</td>\n",
        "      <td> False</td>\n",
        "      <td>   133358</td>\n",
        "      <td>   131636</td>\n",
        "      <td> -1.3</td>\n",
        "      <td>  1524.6</td>\n",
        "      <td>  1327.9</td>\n",
        "      <td>-196.8</td>\n",
        "      <td> 0.098599</td>\n",
        "      <td> 0.379664</td>\n",
        "      <td> 0.331626</td>\n",
        "      <td> 0.190111</td>\n",
        "      <td> 13.226498</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10 </th>\n",
        "      <td> 11460</td>\n",
        "      <td>                          Ann Arbor, MI Metro Area</td>\n",
        "      <td>  120791</td>\n",
        "      <td>   56401</td>\n",
        "      <td>  177192</td>\n",
        "      <td> 0.681696</td>\n",
        "      <td>  True</td>\n",
        "      <td>   322895</td>\n",
        "      <td>   344791</td>\n",
        "      <td>  6.8</td>\n",
        "      <td>  3606.4</td>\n",
        "      <td>  3363.5</td>\n",
        "      <td>-242.9</td>\n",
        "      <td> 0.046029</td>\n",
        "      <td> 0.151751</td>\n",
        "      <td> 0.277167</td>\n",
        "      <td> 0.525052</td>\n",
        "      <td> 14.562485</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11 </th>\n",
        "      <td> 11500</td>\n",
        "      <td>                    Anniston-Oxford, AL Metro Area</td>\n",
        "      <td>   15500</td>\n",
        "      <td>   30272</td>\n",
        "      <td>   45772</td>\n",
        "      <td> 0.338635</td>\n",
        "      <td> False</td>\n",
        "      <td>   112249</td>\n",
        "      <td>   118572</td>\n",
        "      <td>  5.6</td>\n",
        "      <td>   614.4</td>\n",
        "      <td>   566.6</td>\n",
        "      <td> -47.8</td>\n",
        "      <td> 0.187500</td>\n",
        "      <td> 0.328577</td>\n",
        "      <td> 0.323043</td>\n",
        "      <td> 0.160881</td>\n",
        "      <td> 12.914609</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12 </th>\n",
        "      <td> 11540</td>\n",
        "      <td>                           Appleton, WI Metro Area</td>\n",
        "      <td>   57042</td>\n",
        "      <td>   61813</td>\n",
        "      <td>  118855</td>\n",
        "      <td> 0.479929</td>\n",
        "      <td> False</td>\n",
        "      <td>   201602</td>\n",
        "      <td>   225666</td>\n",
        "      <td> 11.9</td>\n",
        "      <td>  2156.5</td>\n",
        "      <td>  1950.0</td>\n",
        "      <td>-206.4</td>\n",
        "      <td> 0.051646</td>\n",
        "      <td> 0.307609</td>\n",
        "      <td> 0.348533</td>\n",
        "      <td> 0.292212</td>\n",
        "      <td> 13.762625</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13 </th>\n",
        "      <td> 11700</td>\n",
        "      <td>                          Asheville, NC Metro Area</td>\n",
        "      <td>  104793</td>\n",
        "      <td>  108221</td>\n",
        "      <td>  213014</td>\n",
        "      <td> 0.491954</td>\n",
        "      <td> False</td>\n",
        "      <td>   369171</td>\n",
        "      <td>   424858</td>\n",
        "      <td> 15.1</td>\n",
        "      <td>   662.2</td>\n",
        "      <td>   728.7</td>\n",
        "      <td>  66.5</td>\n",
        "      <td> 0.104986</td>\n",
        "      <td> 0.252890</td>\n",
        "      <td> 0.340284</td>\n",
        "      <td> 0.301841</td>\n",
        "      <td> 13.677959</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14 </th>\n",
        "      <td> 12100</td>\n",
        "      <td>            Atlantic City-Hammonton, NJ Metro Area</td>\n",
        "      <td>   59509</td>\n",
        "      <td>   41918</td>\n",
        "      <td>  101427</td>\n",
        "      <td> 0.586718</td>\n",
        "      <td>  True</td>\n",
        "      <td>   252552</td>\n",
        "      <td>   274549</td>\n",
        "      <td>  8.7</td>\n",
        "      <td>  3601.0</td>\n",
        "      <td>  3412.3</td>\n",
        "      <td>-188.7</td>\n",
        "      <td> 0.146883</td>\n",
        "      <td> 0.317288</td>\n",
        "      <td> 0.282583</td>\n",
        "      <td> 0.253246</td>\n",
        "      <td> 13.284384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15 </th>\n",
        "      <td> 12220</td>\n",
        "      <td>                     Auburn-Opelika, AL Metro Area</td>\n",
        "      <td>   21274</td>\n",
        "      <td>   32062</td>\n",
        "      <td>   53336</td>\n",
        "      <td> 0.398868</td>\n",
        "      <td> False</td>\n",
        "      <td>   115092</td>\n",
        "      <td>   140247</td>\n",
        "      <td> 21.9</td>\n",
        "      <td>  1198.5</td>\n",
        "      <td>  1220.9</td>\n",
        "      <td>  22.4</td>\n",
        "      <td> 0.108189</td>\n",
        "      <td> 0.275312</td>\n",
        "      <td> 0.278624</td>\n",
        "      <td> 0.337875</td>\n",
        "      <td> 13.692370</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16 </th>\n",
        "      <td> 12420</td>\n",
        "      <td>       Austin-Round Rock-San Marcos, TX Metro Area</td>\n",
        "      <td>  333447</td>\n",
        "      <td>  288027</td>\n",
        "      <td>  621474</td>\n",
        "      <td> 0.536542</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1249763</td>\n",
        "      <td>  1716289</td>\n",
        "      <td> 37.3</td>\n",
        "      <td>  3259.2</td>\n",
        "      <td>  3131.5</td>\n",
        "      <td>-127.8</td>\n",
        "      <td> 0.115132</td>\n",
        "      <td> 0.187690</td>\n",
        "      <td> 0.288158</td>\n",
        "      <td> 0.409020</td>\n",
        "      <td> 13.982131</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17 </th>\n",
        "      <td> 12540</td>\n",
        "      <td>                 Bakersfield-Delano, CA Metro Area</td>\n",
        "      <td>   64690</td>\n",
        "      <td>   99840</td>\n",
        "      <td>  164530</td>\n",
        "      <td> 0.393181</td>\n",
        "      <td> False</td>\n",
        "      <td>   661645</td>\n",
        "      <td>   839631</td>\n",
        "      <td> 26.9</td>\n",
        "      <td>  3631.2</td>\n",
        "      <td>  3711.5</td>\n",
        "      <td>  80.3</td>\n",
        "      <td> 0.276269</td>\n",
        "      <td> 0.258272</td>\n",
        "      <td> 0.316818</td>\n",
        "      <td> 0.148641</td>\n",
        "      <td> 12.675662</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18 </th>\n",
        "      <td> 12580</td>\n",
        "      <td>                   Baltimore-Towson, MD Metro Area</td>\n",
        "      <td>  684107</td>\n",
        "      <td>  480781</td>\n",
        "      <td> 1164888</td>\n",
        "      <td> 0.587273</td>\n",
        "      <td>  True</td>\n",
        "      <td>  2552994</td>\n",
        "      <td>  2710489</td>\n",
        "      <td>  6.2</td>\n",
        "      <td>  5890.9</td>\n",
        "      <td>  5435.7</td>\n",
        "      <td>-455.2</td>\n",
        "      <td> 0.089392</td>\n",
        "      <td> 0.251771</td>\n",
        "      <td> 0.278724</td>\n",
        "      <td> 0.380113</td>\n",
        "      <td> 13.899115</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19 </th>\n",
        "      <td> 12940</td>\n",
        "      <td>                        Baton Rouge, LA Metro Area</td>\n",
        "      <td>  158249</td>\n",
        "      <td>  203718</td>\n",
        "      <td>  361967</td>\n",
        "      <td> 0.437192</td>\n",
        "      <td> False</td>\n",
        "      <td>   705973</td>\n",
        "      <td>   802484</td>\n",
        "      <td> 13.7</td>\n",
        "      <td>  1640.2</td>\n",
        "      <td>  1603.3</td>\n",
        "      <td> -36.9</td>\n",
        "      <td> 0.123842</td>\n",
        "      <td> 0.311356</td>\n",
        "      <td> 0.287258</td>\n",
        "      <td> 0.277544</td>\n",
        "      <td> 13.437009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20 </th>\n",
        "      <td> 12980</td>\n",
        "      <td>                       Battle Creek, MI Metro Area</td>\n",
        "      <td>   29270</td>\n",
        "      <td>   28338</td>\n",
        "      <td>   57608</td>\n",
        "      <td> 0.508089</td>\n",
        "      <td>  True</td>\n",
        "      <td>   137985</td>\n",
        "      <td>   136146</td>\n",
        "      <td> -1.3</td>\n",
        "      <td>  1313.9</td>\n",
        "      <td>  1179.4</td>\n",
        "      <td>-134.5</td>\n",
        "      <td> 0.090930</td>\n",
        "      <td> 0.336023</td>\n",
        "      <td> 0.372157</td>\n",
        "      <td> 0.200891</td>\n",
        "      <td> 13.366016</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21 </th>\n",
        "      <td> 13020</td>\n",
        "      <td>                           Bay City, MI Metro Area</td>\n",
        "      <td>   26797</td>\n",
        "      <td>   23735</td>\n",
        "      <td>   50532</td>\n",
        "      <td> 0.530298</td>\n",
        "      <td>  True</td>\n",
        "      <td>   110157</td>\n",
        "      <td>   107771</td>\n",
        "      <td> -2.2</td>\n",
        "      <td>  1920.5</td>\n",
        "      <td>  1780.5</td>\n",
        "      <td>-140.0</td>\n",
        "      <td> 0.081664</td>\n",
        "      <td> 0.328151</td>\n",
        "      <td> 0.384856</td>\n",
        "      <td> 0.205329</td>\n",
        "      <td> 13.427702</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22 </th>\n",
        "      <td> 13140</td>\n",
        "      <td>               Beaumont-Port Arthur, TX Metro Area</td>\n",
        "      <td>   54781</td>\n",
        "      <td>   84319</td>\n",
        "      <td>  139100</td>\n",
        "      <td> 0.393825</td>\n",
        "      <td> False</td>\n",
        "      <td>   385090</td>\n",
        "      <td>   388745</td>\n",
        "      <td>  0.9</td>\n",
        "      <td>  1779.2</td>\n",
        "      <td>  1711.2</td>\n",
        "      <td> -68.0</td>\n",
        "      <td> 0.148767</td>\n",
        "      <td> 0.349531</td>\n",
        "      <td> 0.338327</td>\n",
        "      <td> 0.163374</td>\n",
        "      <td> 13.032617</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23 </th>\n",
        "      <td> 13380</td>\n",
        "      <td>                         Bellingham, WA Metro Area</td>\n",
        "      <td>   49743</td>\n",
        "      <td>   38764</td>\n",
        "      <td>   88507</td>\n",
        "      <td> 0.562023</td>\n",
        "      <td>  True</td>\n",
        "      <td>   166814</td>\n",
        "      <td>   201140</td>\n",
        "      <td> 20.6</td>\n",
        "      <td>  1678.6</td>\n",
        "      <td>  1775.1</td>\n",
        "      <td>  96.4</td>\n",
        "      <td> 0.077640</td>\n",
        "      <td> 0.212026</td>\n",
        "      <td> 0.380249</td>\n",
        "      <td> 0.330084</td>\n",
        "      <td> 13.925554</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24 </th>\n",
        "      <td> 13460</td>\n",
        "      <td>                               Bend, OR Metro Area</td>\n",
        "      <td>   34985</td>\n",
        "      <td>   40670</td>\n",
        "      <td>   75655</td>\n",
        "      <td> 0.462428</td>\n",
        "      <td> False</td>\n",
        "      <td>   115367</td>\n",
        "      <td>   157733</td>\n",
        "      <td> 36.7</td>\n",
        "      <td>   960.6</td>\n",
        "      <td>  1154.6</td>\n",
        "      <td> 194.0</td>\n",
        "      <td> 0.061335</td>\n",
        "      <td> 0.219531</td>\n",
        "      <td> 0.407330</td>\n",
        "      <td> 0.311804</td>\n",
        "      <td> 13.939205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25 </th>\n",
        "      <td> 13740</td>\n",
        "      <td>                           Billings, MT Metro Area</td>\n",
        "      <td>   28401</td>\n",
        "      <td>   43934</td>\n",
        "      <td>   72335</td>\n",
        "      <td> 0.392632</td>\n",
        "      <td> False</td>\n",
        "      <td>   138904</td>\n",
        "      <td>   158050</td>\n",
        "      <td> 13.8</td>\n",
        "      <td>  2148.5</td>\n",
        "      <td>  2109.9</td>\n",
        "      <td> -38.6</td>\n",
        "      <td> 0.057420</td>\n",
        "      <td> 0.294385</td>\n",
        "      <td> 0.336392</td>\n",
        "      <td> 0.311803</td>\n",
        "      <td> 13.805158</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26 </th>\n",
        "      <td> 13780</td>\n",
        "      <td>                         Binghamton, NY Metro Area</td>\n",
        "      <td>   46578</td>\n",
        "      <td>   46156</td>\n",
        "      <td>   92734</td>\n",
        "      <td> 0.502275</td>\n",
        "      <td>  True</td>\n",
        "      <td>   252320</td>\n",
        "      <td>   251725</td>\n",
        "      <td> -0.2</td>\n",
        "      <td>  2141.3</td>\n",
        "      <td>  2226.1</td>\n",
        "      <td>  84.8</td>\n",
        "      <td> 0.079017</td>\n",
        "      <td> 0.313136</td>\n",
        "      <td> 0.328974</td>\n",
        "      <td> 0.278872</td>\n",
        "      <td> 13.615401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27 </th>\n",
        "      <td> 13820</td>\n",
        "      <td>                  Birmingham-Hoover, AL Metro Area</td>\n",
        "      <td>  200495</td>\n",
        "      <td>  304072</td>\n",
        "      <td>  504567</td>\n",
        "      <td> 0.397361</td>\n",
        "      <td> False</td>\n",
        "      <td>  1052238</td>\n",
        "      <td>  1128047</td>\n",
        "      <td>  7.2</td>\n",
        "      <td>  1508.5</td>\n",
        "      <td>  1314.2</td>\n",
        "      <td>-194.4</td>\n",
        "      <td> 0.125090</td>\n",
        "      <td> 0.260453</td>\n",
        "      <td> 0.323972</td>\n",
        "      <td> 0.290486</td>\n",
        "      <td> 13.559707</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28 </th>\n",
        "      <td> 13900</td>\n",
        "      <td>                           Bismarck, ND Metro Area</td>\n",
        "      <td>   18503</td>\n",
        "      <td>   36480</td>\n",
        "      <td>   54983</td>\n",
        "      <td> 0.336522</td>\n",
        "      <td> False</td>\n",
        "      <td>    94719</td>\n",
        "      <td>   108779</td>\n",
        "      <td> 14.8</td>\n",
        "      <td>  2066.4</td>\n",
        "      <td>  1802.5</td>\n",
        "      <td>-263.9</td>\n",
        "      <td> 0.029533</td>\n",
        "      <td> 0.245902</td>\n",
        "      <td> 0.384064</td>\n",
        "      <td> 0.340501</td>\n",
        "      <td> 14.071067</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29 </th>\n",
        "      <td> 13980</td>\n",
        "      <td>  Blacksburg-Christiansburg-Radford, VA Metro Area</td>\n",
        "      <td>   30652</td>\n",
        "      <td>   36103</td>\n",
        "      <td>   66755</td>\n",
        "      <td> 0.459172</td>\n",
        "      <td> False</td>\n",
        "      <td>   151272</td>\n",
        "      <td>   162958</td>\n",
        "      <td>  7.7</td>\n",
        "      <td>  1199.6</td>\n",
        "      <td>  1228.1</td>\n",
        "      <td>  28.5</td>\n",
        "      <td> 0.093393</td>\n",
        "      <td> 0.263142</td>\n",
        "      <td> 0.295922</td>\n",
        "      <td> 0.347543</td>\n",
        "      <td> 13.795227</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30 </th>\n",
        "      <td> 14020</td>\n",
        "      <td>                        Bloomington, IN Metro Area</td>\n",
        "      <td>   30048</td>\n",
        "      <td>   29773</td>\n",
        "      <td>   59821</td>\n",
        "      <td> 0.502299</td>\n",
        "      <td>  True</td>\n",
        "      <td>   175506</td>\n",
        "      <td>   192714</td>\n",
        "      <td>  9.8</td>\n",
        "      <td>  2082.9</td>\n",
        "      <td>  2331.1</td>\n",
        "      <td> 248.2</td>\n",
        "      <td> 0.081357</td>\n",
        "      <td> 0.283851</td>\n",
        "      <td> 0.293108</td>\n",
        "      <td> 0.341683</td>\n",
        "      <td> 13.790234</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31 </th>\n",
        "      <td> 14060</td>\n",
        "      <td>                 Bloomington-Normal, IL Metro Area</td>\n",
        "      <td>   31590</td>\n",
        "      <td>   39638</td>\n",
        "      <td>   71228</td>\n",
        "      <td> 0.443505</td>\n",
        "      <td> False</td>\n",
        "      <td>   150433</td>\n",
        "      <td>   169572</td>\n",
        "      <td> 12.7</td>\n",
        "      <td>  3279.9</td>\n",
        "      <td>  3046.9</td>\n",
        "      <td>-233.0</td>\n",
        "      <td> 0.043534</td>\n",
        "      <td> 0.233425</td>\n",
        "      <td> 0.279048</td>\n",
        "      <td> 0.443992</td>\n",
        "      <td> 14.246997</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>32 </th>\n",
        "      <td> 14260</td>\n",
        "      <td>                   Boise City-Nampa, ID Metro Area</td>\n",
        "      <td>  100652</td>\n",
        "      <td>  152229</td>\n",
        "      <td>  252881</td>\n",
        "      <td> 0.398021</td>\n",
        "      <td> False</td>\n",
        "      <td>   464840</td>\n",
        "      <td>   616561</td>\n",
        "      <td> 32.6</td>\n",
        "      <td>  2373.5</td>\n",
        "      <td>  2310.2</td>\n",
        "      <td> -63.2</td>\n",
        "      <td> 0.090095</td>\n",
        "      <td> 0.242154</td>\n",
        "      <td> 0.361167</td>\n",
        "      <td> 0.306583</td>\n",
        "      <td> 13.768476</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33 </th>\n",
        "      <td> 14540</td>\n",
        "      <td>                      Bowling Green, KY Metro Area</td>\n",
        "      <td>   18179</td>\n",
        "      <td>   29616</td>\n",
        "      <td>   47795</td>\n",
        "      <td> 0.380354</td>\n",
        "      <td> False</td>\n",
        "      <td>   104166</td>\n",
        "      <td>   125953</td>\n",
        "      <td> 20.9</td>\n",
        "      <td>  1548.7</td>\n",
        "      <td>  1730.3</td>\n",
        "      <td> 181.5</td>\n",
        "      <td> 0.121359</td>\n",
        "      <td> 0.314346</td>\n",
        "      <td> 0.288050</td>\n",
        "      <td> 0.276245</td>\n",
        "      <td> 13.438362</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>34 </th>\n",
        "      <td> 14740</td>\n",
        "      <td>               Bremerton-Silverdale, WA Metro Area</td>\n",
        "      <td>   59701</td>\n",
        "      <td>   47468</td>\n",
        "      <td>  107169</td>\n",
        "      <td> 0.557073</td>\n",
        "      <td>  True</td>\n",
        "      <td>   231969</td>\n",
        "      <td>   251133</td>\n",
        "      <td>  8.3</td>\n",
        "      <td>  1953.4</td>\n",
        "      <td>  1835.9</td>\n",
        "      <td>-117.5</td>\n",
        "      <td> 0.056185</td>\n",
        "      <td> 0.236956</td>\n",
        "      <td> 0.419949</td>\n",
        "      <td> 0.286909</td>\n",
        "      <td> 13.875165</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35 </th>\n",
        "      <td> 15180</td>\n",
        "      <td>              Brownsville-Harlingen, TX Metro Area</td>\n",
        "      <td>   49159</td>\n",
        "      <td>   24955</td>\n",
        "      <td>   74114</td>\n",
        "      <td> 0.663289</td>\n",
        "      <td>  True</td>\n",
        "      <td>   335227</td>\n",
        "      <td>   406220</td>\n",
        "      <td> 21.2</td>\n",
        "      <td>  3104.5</td>\n",
        "      <td>  2842.9</td>\n",
        "      <td>-261.6</td>\n",
        "      <td> 0.322438</td>\n",
        "      <td> 0.256246</td>\n",
        "      <td> 0.262565</td>\n",
        "      <td> 0.158751</td>\n",
        "      <td> 12.515257</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>36 </th>\n",
        "      <td> 15380</td>\n",
        "      <td>              Buffalo-Niagara Falls, NY Metro Area</td>\n",
        "      <td>  261046</td>\n",
        "      <td>  200075</td>\n",
        "      <td>  461121</td>\n",
        "      <td> 0.566112</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1170111</td>\n",
        "      <td>  1135509</td>\n",
        "      <td> -3.0</td>\n",
        "      <td>  4601.5</td>\n",
        "      <td>  4129.4</td>\n",
        "      <td>-472.1</td>\n",
        "      <td> 0.074073</td>\n",
        "      <td> 0.272227</td>\n",
        "      <td> 0.331874</td>\n",
        "      <td> 0.321826</td>\n",
        "      <td> 13.802906</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37 </th>\n",
        "      <td> 15500</td>\n",
        "      <td>                         Burlington, NC Metro Area</td>\n",
        "      <td>   28341</td>\n",
        "      <td>   37712</td>\n",
        "      <td>   66053</td>\n",
        "      <td> 0.429065</td>\n",
        "      <td> False</td>\n",
        "      <td>   130800</td>\n",
        "      <td>   151131</td>\n",
        "      <td> 15.5</td>\n",
        "      <td>  1096.7</td>\n",
        "      <td>  1126.7</td>\n",
        "      <td>  29.9</td>\n",
        "      <td> 0.167674</td>\n",
        "      <td> 0.275696</td>\n",
        "      <td> 0.342321</td>\n",
        "      <td> 0.214309</td>\n",
        "      <td> 13.206530</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>38 </th>\n",
        "      <td> 15940</td>\n",
        "      <td>                   Canton-Massillon, OH Metro Area</td>\n",
        "      <td>   91710</td>\n",
        "      <td>   94135</td>\n",
        "      <td>  185845</td>\n",
        "      <td> 0.493476</td>\n",
        "      <td> False</td>\n",
        "      <td>   406934</td>\n",
        "      <td>   404422</td>\n",
        "      <td> -0.6</td>\n",
        "      <td>  2128.1</td>\n",
        "      <td>  1919.9</td>\n",
        "      <td>-208.1</td>\n",
        "      <td> 0.080115</td>\n",
        "      <td> 0.374432</td>\n",
        "      <td> 0.323544</td>\n",
        "      <td> 0.221909</td>\n",
        "      <td> 13.374494</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>39 </th>\n",
        "      <td> 16020</td>\n",
        "      <td>          Cape Girardeau-Jackson, MO-IL Metro Area</td>\n",
        "      <td>   12887</td>\n",
        "      <td>   30922</td>\n",
        "      <td>   43809</td>\n",
        "      <td> 0.294163</td>\n",
        "      <td> False</td>\n",
        "      <td>    90312</td>\n",
        "      <td>    96275</td>\n",
        "      <td>  6.6</td>\n",
        "      <td>  1014.5</td>\n",
        "      <td>  1093.8</td>\n",
        "      <td>  79.3</td>\n",
        "      <td> 0.107983</td>\n",
        "      <td> 0.340447</td>\n",
        "      <td> 0.292986</td>\n",
        "      <td> 0.258585</td>\n",
        "      <td> 13.404345</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40 </th>\n",
        "      <td> 16180</td>\n",
        "      <td>                        Carson City, NV Metro Area</td>\n",
        "      <td>   10290</td>\n",
        "      <td>   12394</td>\n",
        "      <td>   22684</td>\n",
        "      <td> 0.453624</td>\n",
        "      <td> False</td>\n",
        "      <td>    52457</td>\n",
        "      <td>    55274</td>\n",
        "      <td>  5.4</td>\n",
        "      <td>  3247.1</td>\n",
        "      <td>  3285.4</td>\n",
        "      <td>  38.3</td>\n",
        "      <td> 0.136594</td>\n",
        "      <td> 0.292510</td>\n",
        "      <td> 0.373051</td>\n",
        "      <td> 0.197845</td>\n",
        "      <td> 13.264295</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>41 </th>\n",
        "      <td> 16300</td>\n",
        "      <td>                       Cedar Rapids, IA Metro Area</td>\n",
        "      <td>   80392</td>\n",
        "      <td>   59074</td>\n",
        "      <td>  139466</td>\n",
        "      <td> 0.576427</td>\n",
        "      <td>  True</td>\n",
        "      <td>   237230</td>\n",
        "      <td>   257940</td>\n",
        "      <td>  8.7</td>\n",
        "      <td>  1874.6</td>\n",
        "      <td>  1661.3</td>\n",
        "      <td>-213.2</td>\n",
        "      <td> 0.050499</td>\n",
        "      <td> 0.253774</td>\n",
        "      <td> 0.378006</td>\n",
        "      <td> 0.317722</td>\n",
        "      <td> 13.925901</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>42 </th>\n",
        "      <td> 16580</td>\n",
        "      <td>                   Champaign-Urbana, IL Metro Area</td>\n",
        "      <td>   45113</td>\n",
        "      <td>   44723</td>\n",
        "      <td>   89836</td>\n",
        "      <td> 0.502171</td>\n",
        "      <td>  True</td>\n",
        "      <td>   210275</td>\n",
        "      <td>   231891</td>\n",
        "      <td> 10.3</td>\n",
        "      <td>  4043.9</td>\n",
        "      <td>  4405.2</td>\n",
        "      <td> 361.3</td>\n",
        "      <td> 0.057510</td>\n",
        "      <td> 0.222029</td>\n",
        "      <td> 0.299165</td>\n",
        "      <td> 0.421297</td>\n",
        "      <td> 14.168497</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>43 </th>\n",
        "      <td> 16620</td>\n",
        "      <td>                         Charleston, WV Metro Area</td>\n",
        "      <td>   45291</td>\n",
        "      <td>   68670</td>\n",
        "      <td>  113961</td>\n",
        "      <td> 0.397425</td>\n",
        "      <td> False</td>\n",
        "      <td>   309635</td>\n",
        "      <td>   304284</td>\n",
        "      <td> -1.7</td>\n",
        "      <td>  1099.5</td>\n",
        "      <td>  1033.7</td>\n",
        "      <td> -65.8</td>\n",
        "      <td> 0.118504</td>\n",
        "      <td> 0.374394</td>\n",
        "      <td> 0.269812</td>\n",
        "      <td> 0.237290</td>\n",
        "      <td> 13.251777</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>44 </th>\n",
        "      <td> 16740</td>\n",
        "      <td>    Charlotte-Gastonia-Rock Hill, NC-SC Metro Area</td>\n",
        "      <td>  374987</td>\n",
        "      <td>  340025</td>\n",
        "      <td>  715012</td>\n",
        "      <td> 0.524449</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1330448</td>\n",
        "      <td>  1758038</td>\n",
        "      <td> 32.1</td>\n",
        "      <td>  1738.1</td>\n",
        "      <td>  1881.3</td>\n",
        "      <td> 143.2</td>\n",
        "      <td> 0.110440</td>\n",
        "      <td> 0.231132</td>\n",
        "      <td> 0.306446</td>\n",
        "      <td> 0.351982</td>\n",
        "      <td> 13.799937</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45 </th>\n",
        "      <td> 16820</td>\n",
        "      <td>                    Charlottesville, VA Metro Area</td>\n",
        "      <td>   59319</td>\n",
        "      <td>   44244</td>\n",
        "      <td>  103563</td>\n",
        "      <td> 0.572782</td>\n",
        "      <td>  True</td>\n",
        "      <td>   174021</td>\n",
        "      <td>   201559</td>\n",
        "      <td> 15.8</td>\n",
        "      <td>  1979.4</td>\n",
        "      <td>  2050.7</td>\n",
        "      <td>  71.3</td>\n",
        "      <td> 0.101875</td>\n",
        "      <td> 0.220843</td>\n",
        "      <td> 0.222572</td>\n",
        "      <td> 0.454709</td>\n",
        "      <td> 14.060230</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>46 </th>\n",
        "      <td> 16860</td>\n",
        "      <td>                     Chattanooga, TN-GA Metro Area</td>\n",
        "      <td>   64234</td>\n",
        "      <td>   89686</td>\n",
        "      <td>  153920</td>\n",
        "      <td> 0.417321</td>\n",
        "      <td> False</td>\n",
        "      <td>   476531</td>\n",
        "      <td>   528143</td>\n",
        "      <td> 10.8</td>\n",
        "      <td>  1095.4</td>\n",
        "      <td>  1126.8</td>\n",
        "      <td>  31.5</td>\n",
        "      <td> 0.129820</td>\n",
        "      <td> 0.300622</td>\n",
        "      <td> 0.323799</td>\n",
        "      <td> 0.245759</td>\n",
        "      <td> 13.370993</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>47 </th>\n",
        "      <td> 16980</td>\n",
        "      <td>    Chicago-Joliet-Naperville, IL-IN-WI Metro Area</td>\n",
        "      <td> 2337624</td>\n",
        "      <td> 1282464</td>\n",
        "      <td> 3620088</td>\n",
        "      <td> 0.645737</td>\n",
        "      <td>  True</td>\n",
        "      <td>  9098316</td>\n",
        "      <td>  9461105</td>\n",
        "      <td>  4.0</td>\n",
        "      <td>  9829.6</td>\n",
        "      <td>  8613.4</td>\n",
        "      <td>   NaN</td>\n",
        "      <td> 0.116868</td>\n",
        "      <td> 0.234737</td>\n",
        "      <td> 0.279802</td>\n",
        "      <td> 0.368593</td>\n",
        "      <td> 13.800239</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>48 </th>\n",
        "      <td> 17020</td>\n",
        "      <td>                              Chico, CA Metro Area</td>\n",
        "      <td>   32567</td>\n",
        "      <td>   35312</td>\n",
        "      <td>   67879</td>\n",
        "      <td> 0.479780</td>\n",
        "      <td> False</td>\n",
        "      <td>   203171</td>\n",
        "      <td>   220000</td>\n",
        "      <td>  8.3</td>\n",
        "      <td>  2124.2</td>\n",
        "      <td>  2144.7</td>\n",
        "      <td>  20.5</td>\n",
        "      <td> 0.125288</td>\n",
        "      <td> 0.217878</td>\n",
        "      <td> 0.415499</td>\n",
        "      <td> 0.241335</td>\n",
        "      <td> 13.545763</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>49 </th>\n",
        "      <td> 17140</td>\n",
        "      <td>        Cincinnati-Middletown, OH-KY-IN Metro Area</td>\n",
        "      <td>  409059</td>\n",
        "      <td>  578826</td>\n",
        "      <td>  987885</td>\n",
        "      <td> 0.414076</td>\n",
        "      <td> False</td>\n",
        "      <td>  2009632</td>\n",
        "      <td>  2130151</td>\n",
        "      <td>  6.0</td>\n",
        "      <td>  2864.8</td>\n",
        "      <td>  2563.6</td>\n",
        "      <td>-301.1</td>\n",
        "      <td> 0.087554</td>\n",
        "      <td> 0.300529</td>\n",
        "      <td> 0.297424</td>\n",
        "      <td> 0.314494</td>\n",
        "      <td> 13.677717</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50 </th>\n",
        "      <td> 17300</td>\n",
        "      <td>                     Clarksville, TN-KY Metro Area</td>\n",
        "      <td>   36785</td>\n",
        "      <td>   51117</td>\n",
        "      <td>   87902</td>\n",
        "      <td> 0.418477</td>\n",
        "      <td> False</td>\n",
        "      <td>   232000</td>\n",
        "      <td>   273949</td>\n",
        "      <td> 18.1</td>\n",
        "      <td>  1135.0</td>\n",
        "      <td>  1151.8</td>\n",
        "      <td>  16.7</td>\n",
        "      <td> 0.093663</td>\n",
        "      <td> 0.321000</td>\n",
        "      <td> 0.375135</td>\n",
        "      <td> 0.210202</td>\n",
        "      <td> 13.403753</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>51 </th>\n",
        "      <td> 17420</td>\n",
        "      <td>                          Cleveland, TN Metro Area</td>\n",
        "      <td>    9891</td>\n",
        "      <td>   31525</td>\n",
        "      <td>   41416</td>\n",
        "      <td> 0.238821</td>\n",
        "      <td> False</td>\n",
        "      <td>   104015</td>\n",
        "      <td>   115788</td>\n",
        "      <td> 11.3</td>\n",
        "      <td>   766.7</td>\n",
        "      <td>   811.3</td>\n",
        "      <td>  44.6</td>\n",
        "      <td> 0.146371</td>\n",
        "      <td> 0.354450</td>\n",
        "      <td> 0.317225</td>\n",
        "      <td> 0.181954</td>\n",
        "      <td> 13.069524</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>52 </th>\n",
        "      <td> 17460</td>\n",
        "      <td>            Cleveland-Elyria-Mentor, OH Metro Area</td>\n",
        "      <td>  611420</td>\n",
        "      <td>  379288</td>\n",
        "      <td>  990708</td>\n",
        "      <td> 0.617155</td>\n",
        "      <td>  True</td>\n",
        "      <td>  2148143</td>\n",
        "      <td>  2077240</td>\n",
        "      <td> -3.3</td>\n",
        "      <td>  4581.7</td>\n",
        "      <td>  3808.4</td>\n",
        "      <td>-773.3</td>\n",
        "      <td> 0.086892</td>\n",
        "      <td> 0.284001</td>\n",
        "      <td> 0.322921</td>\n",
        "      <td> 0.306186</td>\n",
        "      <td> 13.696801</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>53 </th>\n",
        "      <td> 17660</td>\n",
        "      <td>                      Coeur d'Alene, ID Metro Area</td>\n",
        "      <td>   18824</td>\n",
        "      <td>   39347</td>\n",
        "      <td>   58171</td>\n",
        "      <td> 0.323598</td>\n",
        "      <td> False</td>\n",
        "      <td>   108685</td>\n",
        "      <td>   138494</td>\n",
        "      <td> 27.4</td>\n",
        "      <td>  1230.2</td>\n",
        "      <td>  1357.8</td>\n",
        "      <td> 127.6</td>\n",
        "      <td> 0.062052</td>\n",
        "      <td> 0.281993</td>\n",
        "      <td> 0.423604</td>\n",
        "      <td> 0.232352</td>\n",
        "      <td> 13.652511</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>54 </th>\n",
        "      <td> 17780</td>\n",
        "      <td>              College Station-Bryan, TX Metro Area</td>\n",
        "      <td>   21937</td>\n",
        "      <td>   46239</td>\n",
        "      <td>   68176</td>\n",
        "      <td> 0.321770</td>\n",
        "      <td> False</td>\n",
        "      <td>   184885</td>\n",
        "      <td>   228660</td>\n",
        "      <td> 23.7</td>\n",
        "      <td>  2660.7</td>\n",
        "      <td>  2804.2</td>\n",
        "      <td> 143.5</td>\n",
        "      <td> 0.149706</td>\n",
        "      <td> 0.240768</td>\n",
        "      <td> 0.267306</td>\n",
        "      <td> 0.342220</td>\n",
        "      <td> 13.604079</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55 </th>\n",
        "      <td> 17860</td>\n",
        "      <td>                           Columbia, MO Metro Area</td>\n",
        "      <td>   41504</td>\n",
        "      <td>   40355</td>\n",
        "      <td>   81859</td>\n",
        "      <td> 0.507018</td>\n",
        "      <td>  True</td>\n",
        "      <td>   145666</td>\n",
        "      <td>   172786</td>\n",
        "      <td> 18.6</td>\n",
        "      <td>  1633.1</td>\n",
        "      <td>  1630.5</td>\n",
        "      <td>  -2.6</td>\n",
        "      <td> 0.054679</td>\n",
        "      <td> 0.191586</td>\n",
        "      <td> 0.251339</td>\n",
        "      <td> 0.502396</td>\n",
        "      <td> 14.402906</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>56 </th>\n",
        "      <td> 17980</td>\n",
        "      <td>                        Columbus, GA-AL Metro Area</td>\n",
        "      <td>   10495</td>\n",
        "      <td>    8276</td>\n",
        "      <td>   18771</td>\n",
        "      <td> 0.559107</td>\n",
        "      <td>  True</td>\n",
        "      <td>   281768</td>\n",
        "      <td>   294865</td>\n",
        "      <td>  4.6</td>\n",
        "      <td>  1859.4</td>\n",
        "      <td>  1680.8</td>\n",
        "      <td>-178.5</td>\n",
        "      <td> 0.123912</td>\n",
        "      <td> 0.280777</td>\n",
        "      <td> 0.368359</td>\n",
        "      <td> 0.226952</td>\n",
        "      <td> 13.396703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>57 </th>\n",
        "      <td> 18020</td>\n",
        "      <td>                           Columbus, IN Metro Area</td>\n",
        "      <td>   10622</td>\n",
        "      <td>   18083</td>\n",
        "      <td>   28705</td>\n",
        "      <td> 0.370040</td>\n",
        "      <td> False</td>\n",
        "      <td>    71435</td>\n",
        "      <td>    76794</td>\n",
        "      <td>  7.5</td>\n",
        "      <td>  1086.6</td>\n",
        "      <td>  1083.8</td>\n",
        "      <td>  -2.8</td>\n",
        "      <td> 0.092038</td>\n",
        "      <td> 0.310636</td>\n",
        "      <td> 0.299088</td>\n",
        "      <td> 0.298238</td>\n",
        "      <td> 13.607050</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>58 </th>\n",
        "      <td> 18140</td>\n",
        "      <td>                           Columbus, OH Metro Area</td>\n",
        "      <td>  453241</td>\n",
        "      <td>  400196</td>\n",
        "      <td>  853437</td>\n",
        "      <td> 0.531077</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1612694</td>\n",
        "      <td>  1836536</td>\n",
        "      <td> 13.9</td>\n",
        "      <td>  3416.4</td>\n",
        "      <td>  3186.0</td>\n",
        "      <td>-230.4</td>\n",
        "      <td> 0.083834</td>\n",
        "      <td> 0.266212</td>\n",
        "      <td> 0.294817</td>\n",
        "      <td> 0.355137</td>\n",
        "      <td> 13.842515</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>59 </th>\n",
        "      <td> 18580</td>\n",
        "      <td>                     Corpus Christi, TX Metro Area</td>\n",
        "      <td>   56223</td>\n",
        "      <td>   67602</td>\n",
        "      <td>  123825</td>\n",
        "      <td> 0.454052</td>\n",
        "      <td> False</td>\n",
        "      <td>   403280</td>\n",
        "      <td>   428185</td>\n",
        "      <td>  6.2</td>\n",
        "      <td>  3148.9</td>\n",
        "      <td>  3204.0</td>\n",
        "      <td>  55.1</td>\n",
        "      <td> 0.175235</td>\n",
        "      <td> 0.275434</td>\n",
        "      <td> 0.353292</td>\n",
        "      <td> 0.196039</td>\n",
        "      <td> 13.140269</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60 </th>\n",
        "      <td> 18700</td>\n",
        "      <td>                          Corvallis, OR Metro Area</td>\n",
        "      <td>   27662</td>\n",
        "      <td>   14922</td>\n",
        "      <td>   42584</td>\n",
        "      <td> 0.649587</td>\n",
        "      <td>  True</td>\n",
        "      <td>    78153</td>\n",
        "      <td>    85579</td>\n",
        "      <td>  9.5</td>\n",
        "      <td>  2548.9</td>\n",
        "      <td>  2653.2</td>\n",
        "      <td> 104.4</td>\n",
        "      <td> 0.058870</td>\n",
        "      <td> 0.143737</td>\n",
        "      <td> 0.298036</td>\n",
        "      <td> 0.499357</td>\n",
        "      <td> 14.475759</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>61 </th>\n",
        "      <td> 19060</td>\n",
        "      <td>                      Cumberland, MD-WV Metro Area</td>\n",
        "      <td>   11837</td>\n",
        "      <td>   25845</td>\n",
        "      <td>   37682</td>\n",
        "      <td> 0.314129</td>\n",
        "      <td> False</td>\n",
        "      <td>   102008</td>\n",
        "      <td>   103299</td>\n",
        "      <td>  1.3</td>\n",
        "      <td>   878.5</td>\n",
        "      <td>   845.1</td>\n",
        "      <td> -33.4</td>\n",
        "      <td> 0.100424</td>\n",
        "      <td> 0.441803</td>\n",
        "      <td> 0.284850</td>\n",
        "      <td> 0.172924</td>\n",
        "      <td> 13.060545</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>62 </th>\n",
        "      <td> 19100</td>\n",
        "      <td>        Dallas-Fort Worth-Arlington, TX Metro Area</td>\n",
        "      <td>  896612</td>\n",
        "      <td> 1202585</td>\n",
        "      <td> 2099197</td>\n",
        "      <td> 0.427121</td>\n",
        "      <td> False</td>\n",
        "      <td>  5161544</td>\n",
        "      <td>  6371773</td>\n",
        "      <td> 23.4</td>\n",
        "      <td>  4295.2</td>\n",
        "      <td>  3909.3</td>\n",
        "      <td>-385.9</td>\n",
        "      <td> 0.156883</td>\n",
        "      <td> 0.221216</td>\n",
        "      <td> 0.298913</td>\n",
        "      <td> 0.322988</td>\n",
        "      <td> 13.576010</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>63 </th>\n",
        "      <td> 19180</td>\n",
        "      <td>                           Danville, IL Metro Area</td>\n",
        "      <td>   10773</td>\n",
        "      <td>   14888</td>\n",
        "      <td>   25661</td>\n",
        "      <td> 0.419820</td>\n",
        "      <td> False</td>\n",
        "      <td>    83919</td>\n",
        "      <td>    81625</td>\n",
        "      <td> -2.7</td>\n",
        "      <td>   745.1</td>\n",
        "      <td>   684.6</td>\n",
        "      <td> -60.5</td>\n",
        "      <td> 0.121640</td>\n",
        "      <td> 0.373678</td>\n",
        "      <td> 0.360252</td>\n",
        "      <td> 0.144430</td>\n",
        "      <td> 13.054941</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>64 </th>\n",
        "      <td> 19260</td>\n",
        "      <td>                           Danville, VA Metro Area</td>\n",
        "      <td>   23070</td>\n",
        "      <td>   27031</td>\n",
        "      <td>   50101</td>\n",
        "      <td> 0.460470</td>\n",
        "      <td> False</td>\n",
        "      <td>   110156</td>\n",
        "      <td>   106561</td>\n",
        "      <td> -3.3</td>\n",
        "      <td>   965.6</td>\n",
        "      <td>   794.0</td>\n",
        "      <td>-171.5</td>\n",
        "      <td> 0.152773</td>\n",
        "      <td> 0.328045</td>\n",
        "      <td> 0.353339</td>\n",
        "      <td> 0.165843</td>\n",
        "      <td> 13.064506</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65 </th>\n",
        "      <td> 19340</td>\n",
        "      <td>    Davenport-Moline-Rock Island, IA-IL Metro Area</td>\n",
        "      <td>  106481</td>\n",
        "      <td>   78549</td>\n",
        "      <td>  185030</td>\n",
        "      <td> 0.575480</td>\n",
        "      <td>  True</td>\n",
        "      <td>   376019</td>\n",
        "      <td>   379690</td>\n",
        "      <td>  1.0</td>\n",
        "      <td>  2306.0</td>\n",
        "      <td>  2218.6</td>\n",
        "      <td> -87.4</td>\n",
        "      <td> 0.080605</td>\n",
        "      <td> 0.278257</td>\n",
        "      <td> 0.371745</td>\n",
        "      <td> 0.269393</td>\n",
        "      <td> 13.659854</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>66 </th>\n",
        "      <td> 19380</td>\n",
        "      <td>                             Dayton, OH Metro Area</td>\n",
        "      <td>  181747</td>\n",
        "      <td>  216723</td>\n",
        "      <td>  398470</td>\n",
        "      <td> 0.456112</td>\n",
        "      <td> False</td>\n",
        "      <td>   848153</td>\n",
        "      <td>   841502</td>\n",
        "      <td> -0.8</td>\n",
        "      <td>  2565.7</td>\n",
        "      <td>  2243.4</td>\n",
        "      <td>-322.3</td>\n",
        "      <td> 0.089714</td>\n",
        "      <td> 0.293820</td>\n",
        "      <td> 0.351436</td>\n",
        "      <td> 0.265030</td>\n",
        "      <td> 13.583564</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>67 </th>\n",
        "      <td> 19460</td>\n",
        "      <td>                            Decatur, AL Metro Area</td>\n",
        "      <td>   18456</td>\n",
        "      <td>   44164</td>\n",
        "      <td>   62620</td>\n",
        "      <td> 0.294730</td>\n",
        "      <td> False</td>\n",
        "      <td>   145867</td>\n",
        "      <td>   153829</td>\n",
        "      <td>  5.5</td>\n",
        "      <td>   793.8</td>\n",
        "      <td>   818.7</td>\n",
        "      <td>  24.9</td>\n",
        "      <td> 0.169653</td>\n",
        "      <td> 0.330969</td>\n",
        "      <td> 0.312771</td>\n",
        "      <td> 0.186607</td>\n",
        "      <td> 13.032665</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>68 </th>\n",
        "      <td> 19500</td>\n",
        "      <td>                            Decatur, IL Metro Area</td>\n",
        "      <td>   22688</td>\n",
        "      <td>   25249</td>\n",
        "      <td>   47937</td>\n",
        "      <td> 0.473288</td>\n",
        "      <td> False</td>\n",
        "      <td>   114706</td>\n",
        "      <td>   110768</td>\n",
        "      <td> -3.4</td>\n",
        "      <td>  1978.6</td>\n",
        "      <td>  1730.3</td>\n",
        "      <td>-248.3</td>\n",
        "      <td> 0.102106</td>\n",
        "      <td> 0.304768</td>\n",
        "      <td> 0.343716</td>\n",
        "      <td> 0.249410</td>\n",
        "      <td> 13.480861</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>69 </th>\n",
        "      <td> 19780</td>\n",
        "      <td>         Des Moines-West Des Moines, IA Metro Area</td>\n",
        "      <td>  163324</td>\n",
        "      <td>  137637</td>\n",
        "      <td>  300961</td>\n",
        "      <td> 0.542675</td>\n",
        "      <td>  True</td>\n",
        "      <td>   481394</td>\n",
        "      <td>   569633</td>\n",
        "      <td> 18.3</td>\n",
        "      <td>  2576.4</td>\n",
        "      <td>  2375.0</td>\n",
        "      <td>-201.4</td>\n",
        "      <td> 0.067031</td>\n",
        "      <td> 0.240071</td>\n",
        "      <td> 0.323213</td>\n",
        "      <td> 0.369686</td>\n",
        "      <td> 13.991108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70 </th>\n",
        "      <td> 19820</td>\n",
        "      <td>             Detroit-Warren-Livonia, MI Metro Area</td>\n",
        "      <td> 1242117</td>\n",
        "      <td>  824814</td>\n",
        "      <td> 2066931</td>\n",
        "      <td> 0.600947</td>\n",
        "      <td>  True</td>\n",
        "      <td>  4452557</td>\n",
        "      <td>  4296250</td>\n",
        "      <td> -3.5</td>\n",
        "      <td>  4534.2</td>\n",
        "      <td>  3800.4</td>\n",
        "      <td>-733.9</td>\n",
        "      <td> 0.096636</td>\n",
        "      <td> 0.263540</td>\n",
        "      <td> 0.342266</td>\n",
        "      <td> 0.297558</td>\n",
        "      <td> 13.681493</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>71 </th>\n",
        "      <td> 20020</td>\n",
        "      <td>                             Dothan, AL Metro Area</td>\n",
        "      <td>   17433</td>\n",
        "      <td>   43992</td>\n",
        "      <td>   61425</td>\n",
        "      <td> 0.283810</td>\n",
        "      <td> False</td>\n",
        "      <td>   130861</td>\n",
        "      <td>   145639</td>\n",
        "      <td> 11.3</td>\n",
        "      <td>   601.9</td>\n",
        "      <td>   623.4</td>\n",
        "      <td>  21.5</td>\n",
        "      <td> 0.149552</td>\n",
        "      <td> 0.348941</td>\n",
        "      <td> 0.304949</td>\n",
        "      <td> 0.196558</td>\n",
        "      <td> 13.097026</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>72 </th>\n",
        "      <td> 20100</td>\n",
        "      <td>                              Dover, DE Metro Area</td>\n",
        "      <td>   35525</td>\n",
        "      <td>   32134</td>\n",
        "      <td>   67659</td>\n",
        "      <td> 0.525059</td>\n",
        "      <td>  True</td>\n",
        "      <td>   126697</td>\n",
        "      <td>   162310</td>\n",
        "      <td> 28.1</td>\n",
        "      <td>   828.1</td>\n",
        "      <td>   912.7</td>\n",
        "      <td>  84.6</td>\n",
        "      <td> 0.122355</td>\n",
        "      <td> 0.332810</td>\n",
        "      <td> 0.328434</td>\n",
        "      <td> 0.216402</td>\n",
        "      <td> 13.277765</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>73 </th>\n",
        "      <td> 20220</td>\n",
        "      <td>                            Dubuque, IA Metro Area</td>\n",
        "      <td>   28600</td>\n",
        "      <td>   21265</td>\n",
        "      <td>   49865</td>\n",
        "      <td> 0.573549</td>\n",
        "      <td>  True</td>\n",
        "      <td>    89143</td>\n",
        "      <td>    93653</td>\n",
        "      <td>  5.1</td>\n",
        "      <td>  2466.3</td>\n",
        "      <td>  2242.7</td>\n",
        "      <td>-223.6</td>\n",
        "      <td> 0.053686</td>\n",
        "      <td> 0.323469</td>\n",
        "      <td> 0.316160</td>\n",
        "      <td> 0.306685</td>\n",
        "      <td> 13.751687</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>74 </th>\n",
        "      <td> 20260</td>\n",
        "      <td>                          Duluth, MN-WI Metro Area</td>\n",
        "      <td>  100421</td>\n",
        "      <td>   53959</td>\n",
        "      <td>  154380</td>\n",
        "      <td> 0.650479</td>\n",
        "      <td>  True</td>\n",
        "      <td>   275486</td>\n",
        "      <td>   279771</td>\n",
        "      <td>  1.6</td>\n",
        "      <td>  1428.7</td>\n",
        "      <td>  1377.1</td>\n",
        "      <td> -51.6</td>\n",
        "      <td> 0.048860</td>\n",
        "      <td> 0.279888</td>\n",
        "      <td> 0.416194</td>\n",
        "      <td> 0.255058</td>\n",
        "      <td> 13.754901</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75 </th>\n",
        "      <td> 20500</td>\n",
        "      <td>                 Durham-Chapel Hill, NC Metro Area</td>\n",
        "      <td>  189225</td>\n",
        "      <td>   81769</td>\n",
        "      <td>  270994</td>\n",
        "      <td> 0.698263</td>\n",
        "      <td>  True</td>\n",
        "      <td>   426493</td>\n",
        "      <td>   504357</td>\n",
        "      <td> 18.3</td>\n",
        "      <td>  1858.7</td>\n",
        "      <td>  1860.4</td>\n",
        "      <td>   1.7</td>\n",
        "      <td> 0.110484</td>\n",
        "      <td> 0.186388</td>\n",
        "      <td> 0.251308</td>\n",
        "      <td> 0.451820</td>\n",
        "      <td> 14.088927</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>76 </th>\n",
        "      <td> 20740</td>\n",
        "      <td>                         Eau Claire, WI Metro Area</td>\n",
        "      <td>   45829</td>\n",
        "      <td>   38589</td>\n",
        "      <td>   84418</td>\n",
        "      <td> 0.542882</td>\n",
        "      <td>  True</td>\n",
        "      <td>   148337</td>\n",
        "      <td>   161151</td>\n",
        "      <td>  8.6</td>\n",
        "      <td>  1408.6</td>\n",
        "      <td>  1345.6</td>\n",
        "      <td> -63.0</td>\n",
        "      <td> 0.059887</td>\n",
        "      <td> 0.292886</td>\n",
        "      <td> 0.364729</td>\n",
        "      <td> 0.282498</td>\n",
        "      <td> 13.739676</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>77 </th>\n",
        "      <td> 20940</td>\n",
        "      <td>                          El Centro, CA Metro Area</td>\n",
        "      <td>   17464</td>\n",
        "      <td>    9545</td>\n",
        "      <td>   27009</td>\n",
        "      <td> 0.646599</td>\n",
        "      <td>  True</td>\n",
        "      <td>   142361</td>\n",
        "      <td>   174528</td>\n",
        "      <td> 22.6</td>\n",
        "      <td>  3347.6</td>\n",
        "      <td>  3062.6</td>\n",
        "      <td>-285.1</td>\n",
        "      <td> 0.302470</td>\n",
        "      <td> 0.234479</td>\n",
        "      <td> 0.318969</td>\n",
        "      <td> 0.144082</td>\n",
        "      <td> 12.609326</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>78 </th>\n",
        "      <td> 21060</td>\n",
        "      <td>                      Elizabethtown, KY Metro Area</td>\n",
        "      <td>   16947</td>\n",
        "      <td>   27268</td>\n",
        "      <td>   44215</td>\n",
        "      <td> 0.383286</td>\n",
        "      <td> False</td>\n",
        "      <td>   107547</td>\n",
        "      <td>   119736</td>\n",
        "      <td> 11.3</td>\n",
        "      <td>   839.2</td>\n",
        "      <td>   841.3</td>\n",
        "      <td>   2.1</td>\n",
        "      <td> 0.094291</td>\n",
        "      <td> 0.338180</td>\n",
        "      <td> 0.359562</td>\n",
        "      <td> 0.207968</td>\n",
        "      <td> 13.362410</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>79 </th>\n",
        "      <td> 21140</td>\n",
        "      <td>                     Elkhart-Goshen, IN Metro Area</td>\n",
        "      <td>   24376</td>\n",
        "      <td>   42348</td>\n",
        "      <td>   66724</td>\n",
        "      <td> 0.365326</td>\n",
        "      <td> False</td>\n",
        "      <td>   182791</td>\n",
        "      <td>   197559</td>\n",
        "      <td>  8.1</td>\n",
        "      <td>  1551.7</td>\n",
        "      <td>  1369.5</td>\n",
        "      <td>-182.2</td>\n",
        "      <td> 0.197272</td>\n",
        "      <td> 0.358217</td>\n",
        "      <td> 0.265362</td>\n",
        "      <td> 0.179149</td>\n",
        "      <td> 12.852776</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80 </th>\n",
        "      <td> 21300</td>\n",
        "      <td>                             Elmira, NY Metro Area</td>\n",
        "      <td>   15285</td>\n",
        "      <td>   16207</td>\n",
        "      <td>   31492</td>\n",
        "      <td> 0.485361</td>\n",
        "      <td> False</td>\n",
        "      <td>    91070</td>\n",
        "      <td>    88830</td>\n",
        "      <td> -2.5</td>\n",
        "      <td>  2354.2</td>\n",
        "      <td>  2162.6</td>\n",
        "      <td>-191.5</td>\n",
        "      <td> 0.093550</td>\n",
        "      <td> 0.336521</td>\n",
        "      <td> 0.351266</td>\n",
        "      <td> 0.218663</td>\n",
        "      <td> 13.390087</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>81 </th>\n",
        "      <td> 21340</td>\n",
        "      <td>                            El Paso, TX Metro Area</td>\n",
        "      <td>  112273</td>\n",
        "      <td>   56517</td>\n",
        "      <td>  168790</td>\n",
        "      <td> 0.665164</td>\n",
        "      <td>  True</td>\n",
        "      <td>   679622</td>\n",
        "      <td>   800647</td>\n",
        "      <td> 17.8</td>\n",
        "      <td>  4521.0</td>\n",
        "      <td>  4318.3</td>\n",
        "      <td>-202.7</td>\n",
        "      <td> 0.207791</td>\n",
        "      <td> 0.245670</td>\n",
        "      <td> 0.324428</td>\n",
        "      <td> 0.222110</td>\n",
        "      <td> 13.121716</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>82 </th>\n",
        "      <td> 21500</td>\n",
        "      <td>                               Erie, PA Metro Area</td>\n",
        "      <td>   65136</td>\n",
        "      <td>   46102</td>\n",
        "      <td>  111238</td>\n",
        "      <td> 0.585555</td>\n",
        "      <td>  True</td>\n",
        "      <td>   280843</td>\n",
        "      <td>   280566</td>\n",
        "      <td> -0.1</td>\n",
        "      <td>  3402.8</td>\n",
        "      <td>  3298.5</td>\n",
        "      <td>-104.4</td>\n",
        "      <td> 0.074909</td>\n",
        "      <td> 0.392221</td>\n",
        "      <td> 0.269365</td>\n",
        "      <td> 0.263506</td>\n",
        "      <td> 13.442933</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>83 </th>\n",
        "      <td> 21660</td>\n",
        "      <td>                 Eugene-Springfield, OR Metro Area</td>\n",
        "      <td>   99891</td>\n",
        "      <td>   60979</td>\n",
        "      <td>  160870</td>\n",
        "      <td> 0.620942</td>\n",
        "      <td>  True</td>\n",
        "      <td>   322959</td>\n",
        "      <td>   351715</td>\n",
        "      <td>  8.9</td>\n",
        "      <td>  2558.7</td>\n",
        "      <td>  2787.1</td>\n",
        "      <td> 228.4</td>\n",
        "      <td> 0.086618</td>\n",
        "      <td> 0.236012</td>\n",
        "      <td> 0.401969</td>\n",
        "      <td> 0.275401</td>\n",
        "      <td> 13.732308</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>84 </th>\n",
        "      <td> 21780</td>\n",
        "      <td>                      Evansville, IN-KY Metro Area</td>\n",
        "      <td>   59765</td>\n",
        "      <td>   85671</td>\n",
        "      <td>  145436</td>\n",
        "      <td> 0.410937</td>\n",
        "      <td> False</td>\n",
        "      <td>   342815</td>\n",
        "      <td>   358676</td>\n",
        "      <td>  4.6</td>\n",
        "      <td>  1785.4</td>\n",
        "      <td>  1660.1</td>\n",
        "      <td>-125.3</td>\n",
        "      <td> 0.087123</td>\n",
        "      <td> 0.335042</td>\n",
        "      <td> 0.351410</td>\n",
        "      <td> 0.226425</td>\n",
        "      <td> 13.434272</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85 </th>\n",
        "      <td> 22020</td>\n",
        "      <td>                           Fargo, ND-MN Metro Area</td>\n",
        "      <td>   49842</td>\n",
        "      <td>   49712</td>\n",
        "      <td>   99554</td>\n",
        "      <td> 0.500653</td>\n",
        "      <td>  True</td>\n",
        "      <td>   174367</td>\n",
        "      <td>   208777</td>\n",
        "      <td> 19.7</td>\n",
        "      <td>  3050.3</td>\n",
        "      <td>  2770.1</td>\n",
        "      <td>-280.2</td>\n",
        "      <td> 0.034665</td>\n",
        "      <td> 0.198014</td>\n",
        "      <td> 0.384253</td>\n",
        "      <td> 0.383069</td>\n",
        "      <td> 14.231449</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>86 </th>\n",
        "      <td> 22140</td>\n",
        "      <td>                         Farmington, NM Metro Area</td>\n",
        "      <td>   15688</td>\n",
        "      <td>   28779</td>\n",
        "      <td>   44467</td>\n",
        "      <td> 0.352801</td>\n",
        "      <td> False</td>\n",
        "      <td>   113801</td>\n",
        "      <td>   130044</td>\n",
        "      <td> 14.3</td>\n",
        "      <td>   763.9</td>\n",
        "      <td>   831.1</td>\n",
        "      <td>  67.2</td>\n",
        "      <td> 0.152749</td>\n",
        "      <td> 0.326224</td>\n",
        "      <td> 0.366554</td>\n",
        "      <td> 0.154472</td>\n",
        "      <td> 13.045500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>87 </th>\n",
        "      <td> 22180</td>\n",
        "      <td>                       Fayetteville, NC Metro Area</td>\n",
        "      <td>   84906</td>\n",
        "      <td>   56912</td>\n",
        "      <td>  141818</td>\n",
        "      <td> 0.598697</td>\n",
        "      <td>  True</td>\n",
        "      <td>   336609</td>\n",
        "      <td>   366383</td>\n",
        "      <td>  8.8</td>\n",
        "      <td>  1765.2</td>\n",
        "      <td>  1694.0</td>\n",
        "      <td> -71.2</td>\n",
        "      <td> 0.095209</td>\n",
        "      <td> 0.259348</td>\n",
        "      <td> 0.417470</td>\n",
        "      <td> 0.227973</td>\n",
        "      <td> 13.556412</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>88 </th>\n",
        "      <td> 22220</td>\n",
        "      <td>  Fayetteville-Springdale-Rogers, AR-MO Metro Area</td>\n",
        "      <td>   54299</td>\n",
        "      <td>  103003</td>\n",
        "      <td>  157302</td>\n",
        "      <td> 0.345190</td>\n",
        "      <td> False</td>\n",
        "      <td>   347045</td>\n",
        "      <td>   463204</td>\n",
        "      <td> 33.5</td>\n",
        "      <td>   933.4</td>\n",
        "      <td>  1114.8</td>\n",
        "      <td> 181.4</td>\n",
        "      <td> 0.154589</td>\n",
        "      <td> 0.290937</td>\n",
        "      <td> 0.270025</td>\n",
        "      <td> 0.284449</td>\n",
        "      <td> 13.368671</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>89 </th>\n",
        "      <td> 22380</td>\n",
        "      <td>                          Flagstaff, AZ Metro Area</td>\n",
        "      <td>   26316</td>\n",
        "      <td>   19368</td>\n",
        "      <td>   45684</td>\n",
        "      <td> 0.576044</td>\n",
        "      <td>  True</td>\n",
        "      <td>   116320</td>\n",
        "      <td>   134421</td>\n",
        "      <td> 15.6</td>\n",
        "      <td>  1002.6</td>\n",
        "      <td>  1348.4</td>\n",
        "      <td> 345.7</td>\n",
        "      <td> 0.110661</td>\n",
        "      <td> 0.234348</td>\n",
        "      <td> 0.341232</td>\n",
        "      <td> 0.313759</td>\n",
        "      <td> 13.716177</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90 </th>\n",
        "      <td> 22420</td>\n",
        "      <td>                              Flint, MI Metro Area</td>\n",
        "      <td>  128972</td>\n",
        "      <td>   71807</td>\n",
        "      <td>  200779</td>\n",
        "      <td> 0.642358</td>\n",
        "      <td>  True</td>\n",
        "      <td>   436141</td>\n",
        "      <td>   425790</td>\n",
        "      <td> -2.4</td>\n",
        "      <td>  2271.4</td>\n",
        "      <td>  1814.2</td>\n",
        "      <td>-457.3</td>\n",
        "      <td> 0.082573</td>\n",
        "      <td> 0.325609</td>\n",
        "      <td> 0.392270</td>\n",
        "      <td> 0.199547</td>\n",
        "      <td> 13.417583</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>91 </th>\n",
        "      <td> 22520</td>\n",
        "      <td>             Florence-Muscle Shoals, AL Metro Area</td>\n",
        "      <td>   21664</td>\n",
        "      <td>   37833</td>\n",
        "      <td>   59497</td>\n",
        "      <td> 0.364119</td>\n",
        "      <td> False</td>\n",
        "      <td>   142950</td>\n",
        "      <td>   147137</td>\n",
        "      <td>  2.9</td>\n",
        "      <td>   746.2</td>\n",
        "      <td>   772.3</td>\n",
        "      <td>  26.1</td>\n",
        "      <td> 0.132374</td>\n",
        "      <td> 0.338808</td>\n",
        "      <td> 0.314556</td>\n",
        "      <td> 0.214262</td>\n",
        "      <td> 13.221412</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>92 </th>\n",
        "      <td> 22540</td>\n",
        "      <td>                        Fond du Lac, WI Metro Area</td>\n",
        "      <td>   22356</td>\n",
        "      <td>   30329</td>\n",
        "      <td>   52685</td>\n",
        "      <td> 0.424333</td>\n",
        "      <td> False</td>\n",
        "      <td>    97296</td>\n",
        "      <td>   101633</td>\n",
        "      <td>  4.5</td>\n",
        "      <td>  1773.6</td>\n",
        "      <td>  1658.6</td>\n",
        "      <td>-115.0</td>\n",
        "      <td> 0.079673</td>\n",
        "      <td> 0.365859</td>\n",
        "      <td> 0.345411</td>\n",
        "      <td> 0.209057</td>\n",
        "      <td> 13.367703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>93 </th>\n",
        "      <td> 22900</td>\n",
        "      <td>                      Fort Smith, AR-OK Metro Area</td>\n",
        "      <td>   28531</td>\n",
        "      <td>   69659</td>\n",
        "      <td>   98190</td>\n",
        "      <td> 0.290569</td>\n",
        "      <td> False</td>\n",
        "      <td>   273170</td>\n",
        "      <td>   298592</td>\n",
        "      <td>  9.3</td>\n",
        "      <td>   832.0</td>\n",
        "      <td>   832.9</td>\n",
        "      <td>   0.9</td>\n",
        "      <td> 0.152696</td>\n",
        "      <td> 0.351994</td>\n",
        "      <td> 0.329047</td>\n",
        "      <td> 0.166263</td>\n",
        "      <td> 13.017752</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>94 </th>\n",
        "      <td> 23060</td>\n",
        "      <td>                         Fort Wayne, IN Metro Area</td>\n",
        "      <td>   67688</td>\n",
        "      <td>  103890</td>\n",
        "      <td>  171578</td>\n",
        "      <td> 0.394503</td>\n",
        "      <td> False</td>\n",
        "      <td>   390156</td>\n",
        "      <td>   416257</td>\n",
        "      <td>  6.7</td>\n",
        "      <td>  2155.0</td>\n",
        "      <td>  1964.2</td>\n",
        "      <td>-190.8</td>\n",
        "      <td> 0.092088</td>\n",
        "      <td> 0.302220</td>\n",
        "      <td> 0.345120</td>\n",
        "      <td> 0.260572</td>\n",
        "      <td> 13.548352</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>95 </th>\n",
        "      <td> 23420</td>\n",
        "      <td>                             Fresno, CA Metro Area</td>\n",
        "      <td>   85862</td>\n",
        "      <td>   91143</td>\n",
        "      <td>  177005</td>\n",
        "      <td> 0.485082</td>\n",
        "      <td> False</td>\n",
        "      <td>   799407</td>\n",
        "      <td>   930450</td>\n",
        "      <td> 16.4</td>\n",
        "      <td>  4168.7</td>\n",
        "      <td>  4216.1</td>\n",
        "      <td>  47.4</td>\n",
        "      <td> 0.261997</td>\n",
        "      <td> 0.226484</td>\n",
        "      <td> 0.317965</td>\n",
        "      <td> 0.193554</td>\n",
        "      <td> 12.886153</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>96 </th>\n",
        "      <td> 23460</td>\n",
        "      <td>                            Gadsden, AL Metro Area</td>\n",
        "      <td>   12792</td>\n",
        "      <td>   29102</td>\n",
        "      <td>   41894</td>\n",
        "      <td> 0.305342</td>\n",
        "      <td> False</td>\n",
        "      <td>   103459</td>\n",
        "      <td>   104430</td>\n",
        "      <td>  0.9</td>\n",
        "      <td>   702.6</td>\n",
        "      <td>   664.7</td>\n",
        "      <td> -37.9</td>\n",
        "      <td> 0.171337</td>\n",
        "      <td> 0.318575</td>\n",
        "      <td> 0.364529</td>\n",
        "      <td> 0.145560</td>\n",
        "      <td> 12.968622</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>97 </th>\n",
        "      <td> 24020</td>\n",
        "      <td>                        Glens Falls, NY Metro Area</td>\n",
        "      <td>   23708</td>\n",
        "      <td>   22825</td>\n",
        "      <td>   46533</td>\n",
        "      <td> 0.509488</td>\n",
        "      <td>  True</td>\n",
        "      <td>   124345</td>\n",
        "      <td>   128923</td>\n",
        "      <td>  3.7</td>\n",
        "      <td>   893.1</td>\n",
        "      <td>   923.4</td>\n",
        "      <td>  30.3</td>\n",
        "      <td> 0.093455</td>\n",
        "      <td> 0.369742</td>\n",
        "      <td> 0.296362</td>\n",
        "      <td> 0.240442</td>\n",
        "      <td> 13.367582</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>98 </th>\n",
        "      <td> 24140</td>\n",
        "      <td>                          Goldsboro, NC Metro Area</td>\n",
        "      <td>   23154</td>\n",
        "      <td>   27536</td>\n",
        "      <td>   50690</td>\n",
        "      <td> 0.456776</td>\n",
        "      <td> False</td>\n",
        "      <td>   113329</td>\n",
        "      <td>   122623</td>\n",
        "      <td>  8.2</td>\n",
        "      <td>   646.5</td>\n",
        "      <td>   592.8</td>\n",
        "      <td> -53.7</td>\n",
        "      <td> 0.158399</td>\n",
        "      <td> 0.285725</td>\n",
        "      <td> 0.398709</td>\n",
        "      <td> 0.157167</td>\n",
        "      <td> 13.109289</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>99 </th>\n",
        "      <td> 24220</td>\n",
        "      <td>                     Grand Forks, ND-MN Metro Area</td>\n",
        "      <td>   20781</td>\n",
        "      <td>   22659</td>\n",
        "      <td>   43440</td>\n",
        "      <td> 0.478384</td>\n",
        "      <td> False</td>\n",
        "      <td>    97478</td>\n",
        "      <td>    98461</td>\n",
        "      <td>  1.0</td>\n",
        "      <td>  1970.1</td>\n",
        "      <td>  2043.9</td>\n",
        "      <td>  73.9</td>\n",
        "      <td> 0.055470</td>\n",
        "      <td> 0.247741</td>\n",
        "      <td> 0.377410</td>\n",
        "      <td> 0.319379</td>\n",
        "      <td> 13.921398</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>100</th>\n",
        "      <td> 24340</td>\n",
        "      <td>               Grand Rapids-Wyoming, MI Metro Area</td>\n",
        "      <td>  165795</td>\n",
        "      <td>  201229</td>\n",
        "      <td>  367024</td>\n",
        "      <td> 0.451728</td>\n",
        "      <td> False</td>\n",
        "      <td>   740482</td>\n",
        "      <td>   774160</td>\n",
        "      <td>  4.5</td>\n",
        "      <td>  2583.4</td>\n",
        "      <td>  2330.9</td>\n",
        "      <td>-252.5</td>\n",
        "      <td> 0.095003</td>\n",
        "      <td> 0.279702</td>\n",
        "      <td> 0.330951</td>\n",
        "      <td> 0.294344</td>\n",
        "      <td> 13.649272</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>101</th>\n",
        "      <td> 24500</td>\n",
        "      <td>                        Great Falls, MT Metro Area</td>\n",
        "      <td>   14949</td>\n",
        "      <td>   18039</td>\n",
        "      <td>   32988</td>\n",
        "      <td> 0.453165</td>\n",
        "      <td> False</td>\n",
        "      <td>    80357</td>\n",
        "      <td>    81327</td>\n",
        "      <td>  1.2</td>\n",
        "      <td>  1912.6</td>\n",
        "      <td>  1857.1</td>\n",
        "      <td> -55.5</td>\n",
        "      <td> 0.078859</td>\n",
        "      <td> 0.286167</td>\n",
        "      <td> 0.398373</td>\n",
        "      <td> 0.236600</td>\n",
        "      <td> 13.585430</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>102</th>\n",
        "      <td> 24580</td>\n",
        "      <td>                          Green Bay, WI Metro Area</td>\n",
        "      <td>   76394</td>\n",
        "      <td>   81175</td>\n",
        "      <td>  157569</td>\n",
        "      <td> 0.484829</td>\n",
        "      <td> False</td>\n",
        "      <td>   282599</td>\n",
        "      <td>   306241</td>\n",
        "      <td>  8.4</td>\n",
        "      <td>  2159.0</td>\n",
        "      <td>  1869.1</td>\n",
        "      <td>-289.9</td>\n",
        "      <td> 0.077410</td>\n",
        "      <td> 0.322011</td>\n",
        "      <td> 0.339662</td>\n",
        "      <td> 0.260916</td>\n",
        "      <td> 13.568170</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>103</th>\n",
        "      <td> 24660</td>\n",
        "      <td>              Greensboro-High Point, NC Metro Area</td>\n",
        "      <td>  176328</td>\n",
        "      <td>  173914</td>\n",
        "      <td>  350242</td>\n",
        "      <td> 0.503446</td>\n",
        "      <td>  True</td>\n",
        "      <td>   643430</td>\n",
        "      <td>   723801</td>\n",
        "      <td> 12.5</td>\n",
        "      <td>  1483.2</td>\n",
        "      <td>  1507.7</td>\n",
        "      <td>  24.5</td>\n",
        "      <td> 0.128708</td>\n",
        "      <td> 0.276423</td>\n",
        "      <td> 0.314657</td>\n",
        "      <td> 0.280212</td>\n",
        "      <td> 13.492746</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>104</th>\n",
        "      <td> 24780</td>\n",
        "      <td>                         Greenville, NC Metro Area</td>\n",
        "      <td>   44462</td>\n",
        "      <td>   39927</td>\n",
        "      <td>   84389</td>\n",
        "      <td> 0.526870</td>\n",
        "      <td>  True</td>\n",
        "      <td>   152772</td>\n",
        "      <td>   189510</td>\n",
        "      <td> 24.0</td>\n",
        "      <td>  1275.3</td>\n",
        "      <td>  1380.9</td>\n",
        "      <td> 105.5</td>\n",
        "      <td> 0.125124</td>\n",
        "      <td> 0.247403</td>\n",
        "      <td> 0.343587</td>\n",
        "      <td> 0.283886</td>\n",
        "      <td> 13.572470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>105</th>\n",
        "      <td> 25060</td>\n",
        "      <td>                    Gulfport-Biloxi, MS Metro Area</td>\n",
        "      <td>   27915</td>\n",
        "      <td>   56429</td>\n",
        "      <td>   84344</td>\n",
        "      <td> 0.330966</td>\n",
        "      <td> False</td>\n",
        "      <td>   246190</td>\n",
        "      <td>   248820</td>\n",
        "      <td>  1.1</td>\n",
        "      <td>  1352.8</td>\n",
        "      <td>  1092.3</td>\n",
        "      <td>-260.5</td>\n",
        "      <td> 0.137683</td>\n",
        "      <td> 0.280542</td>\n",
        "      <td> 0.374844</td>\n",
        "      <td> 0.206932</td>\n",
        "      <td> 13.302049</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>106</th>\n",
        "      <td> 25180</td>\n",
        "      <td>          Hagerstown-Martinsburg, MD-WV Metro Area</td>\n",
        "      <td>   39765</td>\n",
        "      <td>   60577</td>\n",
        "      <td>  100342</td>\n",
        "      <td> 0.396295</td>\n",
        "      <td> False</td>\n",
        "      <td>   222771</td>\n",
        "      <td>   269140</td>\n",
        "      <td> 20.8</td>\n",
        "      <td>  1418.0</td>\n",
        "      <td>  1299.6</td>\n",
        "      <td>-118.4</td>\n",
        "      <td> 0.118794</td>\n",
        "      <td> 0.377580</td>\n",
        "      <td> 0.300253</td>\n",
        "      <td> 0.203373</td>\n",
        "      <td> 13.176408</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>107</th>\n",
        "      <td> 25260</td>\n",
        "      <td>                   Hanford-Corcoran, CA Metro Area</td>\n",
        "      <td>   12282</td>\n",
        "      <td>   17184</td>\n",
        "      <td>   29466</td>\n",
        "      <td> 0.416819</td>\n",
        "      <td> False</td>\n",
        "      <td>   129461</td>\n",
        "      <td>   152982</td>\n",
        "      <td> 18.2</td>\n",
        "      <td>  2761.1</td>\n",
        "      <td>  2996.2</td>\n",
        "      <td> 235.1</td>\n",
        "      <td> 0.284896</td>\n",
        "      <td> 0.253604</td>\n",
        "      <td> 0.334736</td>\n",
        "      <td> 0.126764</td>\n",
        "      <td> 12.606736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>108</th>\n",
        "      <td> 25420</td>\n",
        "      <td>                Harrisburg-Carlisle, PA Metro Area</td>\n",
        "      <td>  113622</td>\n",
        "      <td>  133714</td>\n",
        "      <td>  247336</td>\n",
        "      <td> 0.459383</td>\n",
        "      <td> False</td>\n",
        "      <td>   509074</td>\n",
        "      <td>   549475</td>\n",
        "      <td>  7.9</td>\n",
        "      <td>  2480.3</td>\n",
        "      <td>  2446.0</td>\n",
        "      <td> -34.3</td>\n",
        "      <td> 0.079071</td>\n",
        "      <td> 0.342555</td>\n",
        "      <td> 0.268190</td>\n",
        "      <td> 0.310184</td>\n",
        "      <td> 13.618976</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>109</th>\n",
        "      <td> 25500</td>\n",
        "      <td>                       Harrisonburg, VA Metro Area</td>\n",
        "      <td>   18709</td>\n",
        "      <td>   30737</td>\n",
        "      <td>   49446</td>\n",
        "      <td> 0.378372</td>\n",
        "      <td> False</td>\n",
        "      <td>   108193</td>\n",
        "      <td>   125228</td>\n",
        "      <td> 15.7</td>\n",
        "      <td>  1525.4</td>\n",
        "      <td>  1861.9</td>\n",
        "      <td> 336.5</td>\n",
        "      <td> 0.156985</td>\n",
        "      <td> 0.336571</td>\n",
        "      <td> 0.211417</td>\n",
        "      <td> 0.295027</td>\n",
        "      <td> 13.288973</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>110</th>\n",
        "      <td> 25620</td>\n",
        "      <td>                        Hattiesburg, MS Metro Area</td>\n",
        "      <td>   18635</td>\n",
        "      <td>   36921</td>\n",
        "      <td>   55556</td>\n",
        "      <td> 0.335427</td>\n",
        "      <td> False</td>\n",
        "      <td>   123812</td>\n",
        "      <td>   142842</td>\n",
        "      <td> 15.4</td>\n",
        "      <td>  1010.0</td>\n",
        "      <td>   828.0</td>\n",
        "      <td>-182.0</td>\n",
        "      <td> 0.127205</td>\n",
        "      <td> 0.272682</td>\n",
        "      <td> 0.328380</td>\n",
        "      <td> 0.271733</td>\n",
        "      <td> 13.489281</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>111</th>\n",
        "      <td> 25860</td>\n",
        "      <td>           Hickory-Lenoir-Morganton, NC Metro Area</td>\n",
        "      <td>   52917</td>\n",
        "      <td>  101771</td>\n",
        "      <td>  154688</td>\n",
        "      <td> 0.342089</td>\n",
        "      <td> False</td>\n",
        "      <td>   341851</td>\n",
        "      <td>   365497</td>\n",
        "      <td>  6.9</td>\n",
        "      <td>   581.5</td>\n",
        "      <td>   578.6</td>\n",
        "      <td>  -2.9</td>\n",
        "      <td> 0.172584</td>\n",
        "      <td> 0.313662</td>\n",
        "      <td> 0.328289</td>\n",
        "      <td> 0.185464</td>\n",
        "      <td> 13.053267</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>112</th>\n",
        "      <td> 26100</td>\n",
        "      <td>                Holland-Grand Haven, MI Metro Area</td>\n",
        "      <td>   43068</td>\n",
        "      <td>   88503</td>\n",
        "      <td>  131571</td>\n",
        "      <td> 0.327337</td>\n",
        "      <td> False</td>\n",
        "      <td>   238314</td>\n",
        "      <td>   263801</td>\n",
        "      <td> 10.7</td>\n",
        "      <td>  1547.9</td>\n",
        "      <td>  1539.7</td>\n",
        "      <td>  -8.2</td>\n",
        "      <td> 0.066765</td>\n",
        "      <td> 0.288410</td>\n",
        "      <td> 0.331624</td>\n",
        "      <td> 0.313201</td>\n",
        "      <td> 13.782522</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>113</th>\n",
        "      <td> 26180</td>\n",
        "      <td>                           Honolulu, HI Metro Area</td>\n",
        "      <td>  201803</td>\n",
        "      <td>   87255</td>\n",
        "      <td>  289058</td>\n",
        "      <td> 0.698140</td>\n",
        "      <td>  True</td>\n",
        "      <td>   876156</td>\n",
        "      <td>   953207</td>\n",
        "      <td>  8.8</td>\n",
        "      <td> 10977.5</td>\n",
        "      <td> 11548.2</td>\n",
        "      <td> 570.7</td>\n",
        "      <td> 0.068770</td>\n",
        "      <td> 0.248472</td>\n",
        "      <td> 0.348207</td>\n",
        "      <td> 0.334550</td>\n",
        "      <td> 13.897076</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>114</th>\n",
        "      <td> 26300</td>\n",
        "      <td>                        Hot Springs, AR Metro Area</td>\n",
        "      <td>   13317</td>\n",
        "      <td>   25031</td>\n",
        "      <td>   38348</td>\n",
        "      <td> 0.347267</td>\n",
        "      <td> False</td>\n",
        "      <td>    88068</td>\n",
        "      <td>    96024</td>\n",
        "      <td>  9.0</td>\n",
        "      <td>   638.5</td>\n",
        "      <td>   627.2</td>\n",
        "      <td> -11.3</td>\n",
        "      <td> 0.118080</td>\n",
        "      <td> 0.318088</td>\n",
        "      <td> 0.360085</td>\n",
        "      <td> 0.203747</td>\n",
        "      <td> 13.299000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>115</th>\n",
        "      <td> 26380</td>\n",
        "      <td>         Houma-Bayou Cane-Thibodaux, LA Metro Area</td>\n",
        "      <td>   21614</td>\n",
        "      <td>   57832</td>\n",
        "      <td>   79446</td>\n",
        "      <td> 0.272059</td>\n",
        "      <td> False</td>\n",
        "      <td>   194477</td>\n",
        "      <td>   208178</td>\n",
        "      <td>  7.0</td>\n",
        "      <td>   971.8</td>\n",
        "      <td>   952.6</td>\n",
        "      <td> -19.2</td>\n",
        "      <td> 0.232170</td>\n",
        "      <td> 0.395914</td>\n",
        "      <td> 0.228244</td>\n",
        "      <td> 0.143672</td>\n",
        "      <td> 12.566836</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>116</th>\n",
        "      <td> 26420</td>\n",
        "      <td>         Houston-Sugar Land-Baytown, TX Metro Area</td>\n",
        "      <td>  811874</td>\n",
        "      <td> 1032582</td>\n",
        "      <td> 1844456</td>\n",
        "      <td> 0.440170</td>\n",
        "      <td> False</td>\n",
        "      <td>  4715407</td>\n",
        "      <td>  5946800</td>\n",
        "      <td> 26.1</td>\n",
        "      <td>  4258.4</td>\n",
        "      <td>  4109.6</td>\n",
        "      <td>-148.8</td>\n",
        "      <td> 0.183387</td>\n",
        "      <td> 0.233254</td>\n",
        "      <td> 0.287666</td>\n",
        "      <td> 0.295693</td>\n",
        "      <td> 13.391331</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>117</th>\n",
        "      <td> 26580</td>\n",
        "      <td>           Huntington-Ashland, WV-KY-OH Metro Area</td>\n",
        "      <td>   42552</td>\n",
        "      <td>   60561</td>\n",
        "      <td>  103113</td>\n",
        "      <td> 0.412673</td>\n",
        "      <td> False</td>\n",
        "      <td>   288649</td>\n",
        "      <td>   287702</td>\n",
        "      <td> -0.3</td>\n",
        "      <td>  1447.2</td>\n",
        "      <td>  1376.7</td>\n",
        "      <td> -70.4</td>\n",
        "      <td> 0.120083</td>\n",
        "      <td> 0.371982</td>\n",
        "      <td> 0.306395</td>\n",
        "      <td> 0.201541</td>\n",
        "      <td> 13.178787</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>118</th>\n",
        "      <td> 26620</td>\n",
        "      <td>                         Huntsville, AL Metro Area</td>\n",
        "      <td>   71611</td>\n",
        "      <td>  115942</td>\n",
        "      <td>  187553</td>\n",
        "      <td> 0.381817</td>\n",
        "      <td> False</td>\n",
        "      <td>   342376</td>\n",
        "      <td>   417593</td>\n",
        "      <td> 22.0</td>\n",
        "      <td>  1199.4</td>\n",
        "      <td>  1182.5</td>\n",
        "      <td> -16.9</td>\n",
        "      <td> 0.104334</td>\n",
        "      <td> 0.224449</td>\n",
        "      <td> 0.310229</td>\n",
        "      <td> 0.360988</td>\n",
        "      <td> 13.855742</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>119</th>\n",
        "      <td> 26820</td>\n",
        "      <td>                        Idaho Falls, ID Metro Area</td>\n",
        "      <td>   11232</td>\n",
        "      <td>   42231</td>\n",
        "      <td>   53463</td>\n",
        "      <td> 0.210089</td>\n",
        "      <td> False</td>\n",
        "      <td>   101677</td>\n",
        "      <td>   130374</td>\n",
        "      <td> 28.2</td>\n",
        "      <td>  1678.8</td>\n",
        "      <td>  1690.7</td>\n",
        "      <td>  11.9</td>\n",
        "      <td> 0.089599</td>\n",
        "      <td> 0.261204</td>\n",
        "      <td> 0.384757</td>\n",
        "      <td> 0.264440</td>\n",
        "      <td> 13.648077</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>120</th>\n",
        "      <td> 26900</td>\n",
        "      <td>                Indianapolis-Carmel, IN Metro Area</td>\n",
        "      <td>  335963</td>\n",
        "      <td>  395769</td>\n",
        "      <td>  731732</td>\n",
        "      <td> 0.459134</td>\n",
        "      <td> False</td>\n",
        "      <td>  1525104</td>\n",
        "      <td>  1756241</td>\n",
        "      <td> 15.2</td>\n",
        "      <td>  2493.0</td>\n",
        "      <td>  2285.6</td>\n",
        "      <td>-207.3</td>\n",
        "      <td> 0.101529</td>\n",
        "      <td> 0.274315</td>\n",
        "      <td> 0.289820</td>\n",
        "      <td> 0.334335</td>\n",
        "      <td> 13.713924</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>121</th>\n",
        "      <td> 26980</td>\n",
        "      <td>                          Iowa City, IA Metro Area</td>\n",
        "      <td>   55171</td>\n",
        "      <td>   29096</td>\n",
        "      <td>   84267</td>\n",
        "      <td> 0.654717</td>\n",
        "      <td>  True</td>\n",
        "      <td>   131676</td>\n",
        "      <td>   152586</td>\n",
        "      <td> 15.9</td>\n",
        "      <td>  2849.6</td>\n",
        "      <td>  2707.7</td>\n",
        "      <td>-141.8</td>\n",
        "      <td> 0.050289</td>\n",
        "      <td> 0.175730</td>\n",
        "      <td> 0.277412</td>\n",
        "      <td> 0.496568</td>\n",
        "      <td> 14.440519</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>122</th>\n",
        "      <td> 27060</td>\n",
        "      <td>                             Ithaca, NY Metro Area</td>\n",
        "      <td>   24447</td>\n",
        "      <td>   10202</td>\n",
        "      <td>   34649</td>\n",
        "      <td> 0.705561</td>\n",
        "      <td>  True</td>\n",
        "      <td>    96501</td>\n",
        "      <td>   101564</td>\n",
        "      <td>  5.2</td>\n",
        "      <td>  2788.7</td>\n",
        "      <td>  3030.8</td>\n",
        "      <td> 242.1</td>\n",
        "      <td> 0.051408</td>\n",
        "      <td> 0.158327</td>\n",
        "      <td> 0.256976</td>\n",
        "      <td> 0.533289</td>\n",
        "      <td> 14.544293</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>123</th>\n",
        "      <td> 27100</td>\n",
        "      <td>                            Jackson, MI Metro Area</td>\n",
        "      <td>   32301</td>\n",
        "      <td>   36298</td>\n",
        "      <td>   68599</td>\n",
        "      <td> 0.470867</td>\n",
        "      <td> False</td>\n",
        "      <td>   158422</td>\n",
        "      <td>   160248</td>\n",
        "      <td>  1.2</td>\n",
        "      <td>  1422.5</td>\n",
        "      <td>  1462.8</td>\n",
        "      <td>  40.2</td>\n",
        "      <td> 0.085940</td>\n",
        "      <td> 0.331178</td>\n",
        "      <td> 0.386245</td>\n",
        "      <td> 0.196637</td>\n",
        "      <td> 13.387158</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>124</th>\n",
        "      <td> 27140</td>\n",
        "      <td>                            Jackson, MS Metro Area</td>\n",
        "      <td>  117583</td>\n",
        "      <td>  114413</td>\n",
        "      <td>  231996</td>\n",
        "      <td> 0.506832</td>\n",
        "      <td>  True</td>\n",
        "      <td>   497197</td>\n",
        "      <td>   539057</td>\n",
        "      <td>  8.4</td>\n",
        "      <td>  1435.9</td>\n",
        "      <td>  1277.9</td>\n",
        "      <td>-157.9</td>\n",
        "      <td> 0.111891</td>\n",
        "      <td> 0.251090</td>\n",
        "      <td> 0.331809</td>\n",
        "      <td> 0.305210</td>\n",
        "      <td> 13.660676</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>125</th>\n",
        "      <td> 27180</td>\n",
        "      <td>                            Jackson, TN Metro Area</td>\n",
        "      <td>   19982</td>\n",
        "      <td>   26661</td>\n",
        "      <td>   46643</td>\n",
        "      <td> 0.428403</td>\n",
        "      <td> False</td>\n",
        "      <td>   107377</td>\n",
        "      <td>   115425</td>\n",
        "      <td>  7.5</td>\n",
        "      <td>   999.1</td>\n",
        "      <td>   943.8</td>\n",
        "      <td> -55.2</td>\n",
        "      <td> 0.116725</td>\n",
        "      <td> 0.349045</td>\n",
        "      <td> 0.295001</td>\n",
        "      <td> 0.239230</td>\n",
        "      <td> 13.313472</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>126</th>\n",
        "      <td> 27340</td>\n",
        "      <td>                       Jacksonville, NC Metro Area</td>\n",
        "      <td>   18115</td>\n",
        "      <td>   31695</td>\n",
        "      <td>   49810</td>\n",
        "      <td> 0.363682</td>\n",
        "      <td> False</td>\n",
        "      <td>   150355</td>\n",
        "      <td>   177772</td>\n",
        "      <td> 18.2</td>\n",
        "      <td>  1023.9</td>\n",
        "      <td>   962.8</td>\n",
        "      <td> -61.1</td>\n",
        "      <td> 0.072658</td>\n",
        "      <td> 0.284516</td>\n",
        "      <td> 0.456141</td>\n",
        "      <td> 0.186684</td>\n",
        "      <td> 13.513703</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>127</th>\n",
        "      <td> 27500</td>\n",
        "      <td>                         Janesville, WI Metro Area</td>\n",
        "      <td>   49158</td>\n",
        "      <td>   30492</td>\n",
        "      <td>   79650</td>\n",
        "      <td> 0.617175</td>\n",
        "      <td>  True</td>\n",
        "      <td>   152307</td>\n",
        "      <td>   160331</td>\n",
        "      <td>  5.3</td>\n",
        "      <td>  2019.8</td>\n",
        "      <td>  1894.7</td>\n",
        "      <td>-125.2</td>\n",
        "      <td> 0.119942</td>\n",
        "      <td> 0.324632</td>\n",
        "      <td> 0.348859</td>\n",
        "      <td> 0.206567</td>\n",
        "      <td> 13.284100</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>128</th>\n",
        "      <td> 27620</td>\n",
        "      <td>                     Jefferson City, MO Metro Area</td>\n",
        "      <td>   21153</td>\n",
        "      <td>   46263</td>\n",
        "      <td>   67416</td>\n",
        "      <td> 0.313768</td>\n",
        "      <td> False</td>\n",
        "      <td>   140052</td>\n",
        "      <td>   149807</td>\n",
        "      <td>  7.0</td>\n",
        "      <td>   587.7</td>\n",
        "      <td>   522.7</td>\n",
        "      <td> -64.9</td>\n",
        "      <td> 0.099899</td>\n",
        "      <td> 0.332254</td>\n",
        "      <td> 0.294307</td>\n",
        "      <td> 0.273541</td>\n",
        "      <td> 13.482979</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>129</th>\n",
        "      <td> 27740</td>\n",
        "      <td>                       Johnson City, TN Metro Area</td>\n",
        "      <td>   21013</td>\n",
        "      <td>   53311</td>\n",
        "      <td>   74324</td>\n",
        "      <td> 0.282722</td>\n",
        "      <td> False</td>\n",
        "      <td>   181607</td>\n",
        "      <td>   198716</td>\n",
        "      <td>  9.4</td>\n",
        "      <td>   836.3</td>\n",
        "      <td>   879.1</td>\n",
        "      <td>  42.8</td>\n",
        "      <td> 0.129053</td>\n",
        "      <td> 0.315830</td>\n",
        "      <td> 0.289324</td>\n",
        "      <td> 0.265793</td>\n",
        "      <td> 13.383713</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>130</th>\n",
        "      <td> 27780</td>\n",
        "      <td>                          Johnstown, PA Metro Area</td>\n",
        "      <td>   23181</td>\n",
        "      <td>   33464</td>\n",
        "      <td>   56645</td>\n",
        "      <td> 0.409233</td>\n",
        "      <td> False</td>\n",
        "      <td>   152598</td>\n",
        "      <td>   143679</td>\n",
        "      <td> -5.8</td>\n",
        "      <td>  1491.0</td>\n",
        "      <td>  1322.1</td>\n",
        "      <td>-168.9</td>\n",
        "      <td> 0.071119</td>\n",
        "      <td> 0.441415</td>\n",
        "      <td> 0.277588</td>\n",
        "      <td> 0.209879</td>\n",
        "      <td> 13.252453</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>131</th>\n",
        "      <td> 27860</td>\n",
        "      <td>                          Jonesboro, AR Metro Area</td>\n",
        "      <td>   12738</td>\n",
        "      <td>   25011</td>\n",
        "      <td>   37749</td>\n",
        "      <td> 0.337439</td>\n",
        "      <td> False</td>\n",
        "      <td>   107762</td>\n",
        "      <td>   121026</td>\n",
        "      <td> 12.3</td>\n",
        "      <td>   797.4</td>\n",
        "      <td>   856.9</td>\n",
        "      <td>  59.5</td>\n",
        "      <td> 0.133656</td>\n",
        "      <td> 0.346992</td>\n",
        "      <td> 0.297968</td>\n",
        "      <td> 0.221384</td>\n",
        "      <td> 13.214159</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>132</th>\n",
        "      <td> 27900</td>\n",
        "      <td>                             Joplin, MO Metro Area</td>\n",
        "      <td>   19233</td>\n",
        "      <td>   49524</td>\n",
        "      <td>   68757</td>\n",
        "      <td> 0.279724</td>\n",
        "      <td> False</td>\n",
        "      <td>   157322</td>\n",
        "      <td>   175518</td>\n",
        "      <td> 11.6</td>\n",
        "      <td>   866.1</td>\n",
        "      <td>   872.5</td>\n",
        "      <td>   6.3</td>\n",
        "      <td> 0.143619</td>\n",
        "      <td> 0.314575</td>\n",
        "      <td> 0.324901</td>\n",
        "      <td> 0.216905</td>\n",
        "      <td> 13.230185</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>133</th>\n",
        "      <td> 28020</td>\n",
        "      <td>                  Kalamazoo-Portage, MI Metro Area</td>\n",
        "      <td>   85333</td>\n",
        "      <td>   68800</td>\n",
        "      <td>  154133</td>\n",
        "      <td> 0.553632</td>\n",
        "      <td>  True</td>\n",
        "      <td>   314866</td>\n",
        "      <td>   326589</td>\n",
        "      <td>  3.7</td>\n",
        "      <td>  1716.9</td>\n",
        "      <td>  1603.7</td>\n",
        "      <td>-113.2</td>\n",
        "      <td> 0.077227</td>\n",
        "      <td> 0.243993</td>\n",
        "      <td> 0.362155</td>\n",
        "      <td> 0.316625</td>\n",
        "      <td> 13.836356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>134</th>\n",
        "      <td> 28100</td>\n",
        "      <td>                   Kankakee-Bradley, IL Metro Area</td>\n",
        "      <td>   21574</td>\n",
        "      <td>   23115</td>\n",
        "      <td>   44689</td>\n",
        "      <td> 0.482759</td>\n",
        "      <td> False</td>\n",
        "      <td>   103833</td>\n",
        "      <td>   113449</td>\n",
        "      <td>  9.3</td>\n",
        "      <td>  1591.6</td>\n",
        "      <td>  1528.5</td>\n",
        "      <td> -63.1</td>\n",
        "      <td> 0.118071</td>\n",
        "      <td> 0.312665</td>\n",
        "      <td> 0.381972</td>\n",
        "      <td> 0.187292</td>\n",
        "      <td> 13.276967</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>135</th>\n",
        "      <td> 28140</td>\n",
        "      <td>                     Kansas City, MO-KS Metro Area</td>\n",
        "      <td>  442376</td>\n",
        "      <td>  471042</td>\n",
        "      <td>  913418</td>\n",
        "      <td> 0.484308</td>\n",
        "      <td> False</td>\n",
        "      <td>  1836038</td>\n",
        "      <td>  2035334</td>\n",
        "      <td> 10.9</td>\n",
        "      <td>  2505.8</td>\n",
        "      <td>  2326.1</td>\n",
        "      <td>-179.7</td>\n",
        "      <td> 0.083639</td>\n",
        "      <td> 0.242955</td>\n",
        "      <td> 0.321724</td>\n",
        "      <td> 0.351682</td>\n",
        "      <td> 13.882897</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>136</th>\n",
        "      <td> 28420</td>\n",
        "      <td>           Kennewick-Pasco-Richland, WA Metro Area</td>\n",
        "      <td>   34722</td>\n",
        "      <td>   60762</td>\n",
        "      <td>   95484</td>\n",
        "      <td> 0.363642</td>\n",
        "      <td> False</td>\n",
        "      <td>   191822</td>\n",
        "      <td>   253340</td>\n",
        "      <td> 32.1</td>\n",
        "      <td>  2039.9</td>\n",
        "      <td>  2212.4</td>\n",
        "      <td> 172.5</td>\n",
        "      <td> 0.163809</td>\n",
        "      <td> 0.237992</td>\n",
        "      <td> 0.351088</td>\n",
        "      <td> 0.247112</td>\n",
        "      <td> 13.363007</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>137</th>\n",
        "      <td> 28660</td>\n",
        "      <td>           Killeen-Temple-Fort Hood, TX Metro Area</td>\n",
        "      <td>   41913</td>\n",
        "      <td>   66145</td>\n",
        "      <td>  108058</td>\n",
        "      <td> 0.387875</td>\n",
        "      <td> False</td>\n",
        "      <td>   330714</td>\n",
        "      <td>   405300</td>\n",
        "      <td> 22.6</td>\n",
        "      <td>  2020.9</td>\n",
        "      <td>  2001.8</td>\n",
        "      <td> -19.2</td>\n",
        "      <td> 0.095046</td>\n",
        "      <td> 0.297603</td>\n",
        "      <td> 0.406107</td>\n",
        "      <td> 0.201244</td>\n",
        "      <td> 13.427100</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>138</th>\n",
        "      <td> 28700</td>\n",
        "      <td>       Kingsport-Bristol-Bristol, TN-VA Metro Area</td>\n",
        "      <td>   32347</td>\n",
        "      <td>   88260</td>\n",
        "      <td>  120607</td>\n",
        "      <td> 0.268202</td>\n",
        "      <td> False</td>\n",
        "      <td>   298484</td>\n",
        "      <td>   309544</td>\n",
        "      <td>  3.7</td>\n",
        "      <td>   626.6</td>\n",
        "      <td>   633.5</td>\n",
        "      <td>   6.8</td>\n",
        "      <td> 0.133760</td>\n",
        "      <td> 0.363642</td>\n",
        "      <td> 0.301130</td>\n",
        "      <td> 0.201467</td>\n",
        "      <td> 13.140610</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>139</th>\n",
        "      <td> 28740</td>\n",
        "      <td>                           Kingston, NY Metro Area</td>\n",
        "      <td>   43164</td>\n",
        "      <td>   27340</td>\n",
        "      <td>   70504</td>\n",
        "      <td> 0.612221</td>\n",
        "      <td>  True</td>\n",
        "      <td>   177749</td>\n",
        "      <td>   182493</td>\n",
        "      <td>  2.7</td>\n",
        "      <td>   909.3</td>\n",
        "      <td>   958.6</td>\n",
        "      <td>  49.3</td>\n",
        "      <td> 0.100017</td>\n",
        "      <td> 0.276014</td>\n",
        "      <td> 0.314776</td>\n",
        "      <td> 0.309193</td>\n",
        "      <td> 13.666289</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>140</th>\n",
        "      <td> 28940</td>\n",
        "      <td>                          Knoxville, TN Metro Area</td>\n",
        "      <td>   87162</td>\n",
        "      <td>  181748</td>\n",
        "      <td>  268910</td>\n",
        "      <td> 0.324131</td>\n",
        "      <td> False</td>\n",
        "      <td>   616079</td>\n",
        "      <td>   698030</td>\n",
        "      <td> 13.3</td>\n",
        "      <td>  1282.3</td>\n",
        "      <td>  1343.3</td>\n",
        "      <td>  60.9</td>\n",
        "      <td> 0.096875</td>\n",
        "      <td> 0.291514</td>\n",
        "      <td> 0.303321</td>\n",
        "      <td> 0.308290</td>\n",
        "      <td> 13.646054</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>141</th>\n",
        "      <td> 29020</td>\n",
        "      <td>                             Kokomo, IN Metro Area</td>\n",
        "      <td>   17529</td>\n",
        "      <td>   25057</td>\n",
        "      <td>   42586</td>\n",
        "      <td> 0.411614</td>\n",
        "      <td> False</td>\n",
        "      <td>   101541</td>\n",
        "      <td>    98688</td>\n",
        "      <td> -2.8</td>\n",
        "      <td>  1577.7</td>\n",
        "      <td>  1480.3</td>\n",
        "      <td> -97.4</td>\n",
        "      <td> 0.088255</td>\n",
        "      <td> 0.366982</td>\n",
        "      <td> 0.342850</td>\n",
        "      <td> 0.201913</td>\n",
        "      <td> 13.316841</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>142</th>\n",
        "      <td> 29100</td>\n",
        "      <td>                       La Crosse, WI-MN Metro Area</td>\n",
        "      <td>   41913</td>\n",
        "      <td>   30662</td>\n",
        "      <td>   72575</td>\n",
        "      <td> 0.577513</td>\n",
        "      <td>  True</td>\n",
        "      <td>   126838</td>\n",
        "      <td>   133665</td>\n",
        "      <td>  5.4</td>\n",
        "      <td>  1959.7</td>\n",
        "      <td>  1877.9</td>\n",
        "      <td> -81.8</td>\n",
        "      <td> 0.040121</td>\n",
        "      <td> 0.268085</td>\n",
        "      <td> 0.375687</td>\n",
        "      <td> 0.316108</td>\n",
        "      <td> 13.935563</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>143</th>\n",
        "      <td> 29140</td>\n",
        "      <td>                          Lafayette, IN Metro Area</td>\n",
        "      <td>   30432</td>\n",
        "      <td>   36030</td>\n",
        "      <td>   66462</td>\n",
        "      <td> 0.457886</td>\n",
        "      <td> False</td>\n",
        "      <td>   178541</td>\n",
        "      <td>   201789</td>\n",
        "      <td> 13.0</td>\n",
        "      <td>  3417.9</td>\n",
        "      <td>  3227.7</td>\n",
        "      <td>-190.2</td>\n",
        "      <td> 0.086209</td>\n",
        "      <td> 0.283959</td>\n",
        "      <td> 0.285782</td>\n",
        "      <td> 0.344050</td>\n",
        "      <td> 13.775348</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>144</th>\n",
        "      <td> 29180</td>\n",
        "      <td>                          Lafayette, LA Metro Area</td>\n",
        "      <td>   41185</td>\n",
        "      <td>   80642</td>\n",
        "      <td>  121827</td>\n",
        "      <td> 0.338061</td>\n",
        "      <td> False</td>\n",
        "      <td>   239086</td>\n",
        "      <td>   273738</td>\n",
        "      <td> 14.5</td>\n",
        "      <td>  1434.9</td>\n",
        "      <td>  1524.5</td>\n",
        "      <td>  89.6</td>\n",
        "      <td> 0.125888</td>\n",
        "      <td> 0.344889</td>\n",
        "      <td> 0.274514</td>\n",
        "      <td> 0.254709</td>\n",
        "      <td> 13.316091</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>145</th>\n",
        "      <td> 29340</td>\n",
        "      <td>                       Lake Charles, LA Metro Area</td>\n",
        "      <td>   28765</td>\n",
        "      <td>   55104</td>\n",
        "      <td>   83869</td>\n",
        "      <td> 0.342975</td>\n",
        "      <td> False</td>\n",
        "      <td>   193568</td>\n",
        "      <td>   199607</td>\n",
        "      <td>  3.1</td>\n",
        "      <td>  1359.2</td>\n",
        "      <td>  1309.9</td>\n",
        "      <td> -49.3</td>\n",
        "      <td> 0.123748</td>\n",
        "      <td> 0.367409</td>\n",
        "      <td> 0.301555</td>\n",
        "      <td> 0.207288</td>\n",
        "      <td> 13.184765</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>146</th>\n",
        "      <td> 29420</td>\n",
        "      <td>           Lake Havasu City-Kingman, AZ Metro Area</td>\n",
        "      <td>   18324</td>\n",
        "      <td>   46442</td>\n",
        "      <td>   64766</td>\n",
        "      <td> 0.282926</td>\n",
        "      <td> False</td>\n",
        "      <td>   155032</td>\n",
        "      <td>   200186</td>\n",
        "      <td> 29.1</td>\n",
        "      <td>  1134.6</td>\n",
        "      <td>  1143.6</td>\n",
        "      <td>   9.0</td>\n",
        "      <td> 0.160259</td>\n",
        "      <td> 0.318619</td>\n",
        "      <td> 0.400749</td>\n",
        "      <td> 0.120372</td>\n",
        "      <td> 12.962469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>147</th>\n",
        "      <td> 29540</td>\n",
        "      <td>                          Lancaster, PA Metro Area</td>\n",
        "      <td>   87108</td>\n",
        "      <td>  129364</td>\n",
        "      <td>  216472</td>\n",
        "      <td> 0.402398</td>\n",
        "      <td> False</td>\n",
        "      <td>   470658</td>\n",
        "      <td>   519445</td>\n",
        "      <td> 10.4</td>\n",
        "      <td>  2869.5</td>\n",
        "      <td>  2940.2</td>\n",
        "      <td>  70.8</td>\n",
        "      <td> 0.136783</td>\n",
        "      <td> 0.380693</td>\n",
        "      <td> 0.231350</td>\n",
        "      <td> 0.251174</td>\n",
        "      <td> 13.193829</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>148</th>\n",
        "      <td> 29620</td>\n",
        "      <td>               Lansing-East Lansing, MI Metro Area</td>\n",
        "      <td>  127002</td>\n",
        "      <td>   92188</td>\n",
        "      <td>  219190</td>\n",
        "      <td> 0.579415</td>\n",
        "      <td>  True</td>\n",
        "      <td>   447728</td>\n",
        "      <td>   464036</td>\n",
        "      <td>  3.6</td>\n",
        "      <td>  3259.9</td>\n",
        "      <td>  3222.2</td>\n",
        "      <td> -37.7</td>\n",
        "      <td> 0.068769</td>\n",
        "      <td> 0.227032</td>\n",
        "      <td> 0.378293</td>\n",
        "      <td> 0.325906</td>\n",
        "      <td> 13.922673</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>149</th>\n",
        "      <td> 29700</td>\n",
        "      <td>                             Laredo, TX Metro Area</td>\n",
        "      <td>   37592</td>\n",
        "      <td>   11074</td>\n",
        "      <td>   48666</td>\n",
        "      <td> 0.772449</td>\n",
        "      <td>  True</td>\n",
        "      <td>   193117</td>\n",
        "      <td>   250304</td>\n",
        "      <td> 29.6</td>\n",
        "      <td>  5923.6</td>\n",
        "      <td>  5300.1</td>\n",
        "      <td>-623.5</td>\n",
        "      <td> 0.315830</td>\n",
        "      <td> 0.231332</td>\n",
        "      <td> 0.276911</td>\n",
        "      <td> 0.175926</td>\n",
        "      <td> 12.625867</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>150</th>\n",
        "      <td> 29740</td>\n",
        "      <td>                         Las Cruces, NM Metro Area</td>\n",
        "      <td>   36778</td>\n",
        "      <td>   26988</td>\n",
        "      <td>   63766</td>\n",
        "      <td> 0.576765</td>\n",
        "      <td>  True</td>\n",
        "      <td>   174682</td>\n",
        "      <td>   209233</td>\n",
        "      <td> 19.8</td>\n",
        "      <td>  1824.5</td>\n",
        "      <td>  1782.3</td>\n",
        "      <td> -42.2</td>\n",
        "      <td> 0.197369</td>\n",
        "      <td> 0.224595</td>\n",
        "      <td> 0.316628</td>\n",
        "      <td> 0.261408</td>\n",
        "      <td> 13.284151</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>151</th>\n",
        "      <td> 29820</td>\n",
        "      <td>                 Las Vegas-Paradise, NV Metro Area</td>\n",
        "      <td>  387978</td>\n",
        "      <td>  288223</td>\n",
        "      <td>  676201</td>\n",
        "      <td> 0.573761</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1375765</td>\n",
        "      <td>  1951269</td>\n",
        "      <td> 41.8</td>\n",
        "      <td>  6781.8</td>\n",
        "      <td>  6527.2</td>\n",
        "      <td>-254.6</td>\n",
        "      <td> 0.155833</td>\n",
        "      <td> 0.293786</td>\n",
        "      <td> 0.331123</td>\n",
        "      <td> 0.219258</td>\n",
        "      <td> 13.227614</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>152</th>\n",
        "      <td> 29940</td>\n",
        "      <td>                           Lawrence, KS Metro Area</td>\n",
        "      <td>   28012</td>\n",
        "      <td>   17028</td>\n",
        "      <td>   45040</td>\n",
        "      <td> 0.621936</td>\n",
        "      <td>  True</td>\n",
        "      <td>    99962</td>\n",
        "      <td>   110826</td>\n",
        "      <td> 10.9</td>\n",
        "      <td>  2963.5</td>\n",
        "      <td>  2795.5</td>\n",
        "      <td>-168.0</td>\n",
        "      <td> 0.051574</td>\n",
        "      <td> 0.192786</td>\n",
        "      <td> 0.260640</td>\n",
        "      <td> 0.495000</td>\n",
        "      <td> 14.398133</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>153</th>\n",
        "      <td> 30020</td>\n",
        "      <td>                             Lawton, OK Metro Area</td>\n",
        "      <td>   12517</td>\n",
        "      <td>   17657</td>\n",
        "      <td>   30174</td>\n",
        "      <td> 0.414827</td>\n",
        "      <td> False</td>\n",
        "      <td>   114996</td>\n",
        "      <td>   124098</td>\n",
        "      <td>  7.9</td>\n",
        "      <td>  1920.5</td>\n",
        "      <td>  1830.3</td>\n",
        "      <td> -90.2</td>\n",
        "      <td> 0.092335</td>\n",
        "      <td> 0.337814</td>\n",
        "      <td> 0.367482</td>\n",
        "      <td> 0.202369</td>\n",
        "      <td> 13.359771</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>154</th>\n",
        "      <td> 30140</td>\n",
        "      <td>                            Lebanon, PA Metro Area</td>\n",
        "      <td>   18975</td>\n",
        "      <td>   34010</td>\n",
        "      <td>   52985</td>\n",
        "      <td> 0.358120</td>\n",
        "      <td> False</td>\n",
        "      <td>   120327</td>\n",
        "      <td>   133568</td>\n",
        "      <td> 11.0</td>\n",
        "      <td>  2136.4</td>\n",
        "      <td>  2053.6</td>\n",
        "      <td> -82.8</td>\n",
        "      <td> 0.110475</td>\n",
        "      <td> 0.445355</td>\n",
        "      <td> 0.231186</td>\n",
        "      <td> 0.212983</td>\n",
        "      <td> 13.093356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>155</th>\n",
        "      <td> 30300</td>\n",
        "      <td>                        Lewiston, ID-WA Metro Area</td>\n",
        "      <td>   10444</td>\n",
        "      <td>   15614</td>\n",
        "      <td>   26058</td>\n",
        "      <td> 0.400798</td>\n",
        "      <td> False</td>\n",
        "      <td>    57961</td>\n",
        "      <td>    60888</td>\n",
        "      <td>  5.0</td>\n",
        "      <td>  1431.3</td>\n",
        "      <td>  1443.6</td>\n",
        "      <td>  12.3</td>\n",
        "      <td> 0.083831</td>\n",
        "      <td> 0.292392</td>\n",
        "      <td> 0.414700</td>\n",
        "      <td> 0.209077</td>\n",
        "      <td> 13.498047</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>156</th>\n",
        "      <td> 30460</td>\n",
        "      <td>                  Lexington-Fayette, KY Metro Area</td>\n",
        "      <td>   88797</td>\n",
        "      <td>  109545</td>\n",
        "      <td>  198342</td>\n",
        "      <td> 0.447696</td>\n",
        "      <td> False</td>\n",
        "      <td>   408326</td>\n",
        "      <td>   472099</td>\n",
        "      <td> 15.6</td>\n",
        "      <td>  3041.9</td>\n",
        "      <td>  2918.6</td>\n",
        "      <td>-123.2</td>\n",
        "      <td> 0.111108</td>\n",
        "      <td> 0.243812</td>\n",
        "      <td> 0.287951</td>\n",
        "      <td> 0.357129</td>\n",
        "      <td> 13.782202</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>157</th>\n",
        "      <td> 30620</td>\n",
        "      <td>                               Lima, OH Metro Area</td>\n",
        "      <td>   16869</td>\n",
        "      <td>   28802</td>\n",
        "      <td>   45671</td>\n",
        "      <td> 0.369359</td>\n",
        "      <td> False</td>\n",
        "      <td>   108473</td>\n",
        "      <td>   106331</td>\n",
        "      <td> -2.0</td>\n",
        "      <td>  1688.3</td>\n",
        "      <td>  1497.7</td>\n",
        "      <td>-190.6</td>\n",
        "      <td> 0.085593</td>\n",
        "      <td> 0.392360</td>\n",
        "      <td> 0.338492</td>\n",
        "      <td> 0.183556</td>\n",
        "      <td> 13.240021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>158</th>\n",
        "      <td> 30700</td>\n",
        "      <td>                            Lincoln, NE Metro Area</td>\n",
        "      <td>   62332</td>\n",
        "      <td>   66124</td>\n",
        "      <td>  128456</td>\n",
        "      <td> 0.485240</td>\n",
        "      <td> False</td>\n",
        "      <td>   266787</td>\n",
        "      <td>   302157</td>\n",
        "      <td> 13.3</td>\n",
        "      <td>  3939.9</td>\n",
        "      <td>  3748.0</td>\n",
        "      <td>-192.0</td>\n",
        "      <td> 0.060857</td>\n",
        "      <td> 0.205338</td>\n",
        "      <td> 0.361877</td>\n",
        "      <td> 0.371928</td>\n",
        "      <td> 14.089753</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>159</th>\n",
        "      <td> 30780</td>\n",
        "      <td> Little Rock-North Little Rock-Conway, AR Metro...</td>\n",
        "      <td>  121748</td>\n",
        "      <td>  153743</td>\n",
        "      <td>  275491</td>\n",
        "      <td> 0.441931</td>\n",
        "      <td> False</td>\n",
        "      <td>   610518</td>\n",
        "      <td>   699757</td>\n",
        "      <td> 14.6</td>\n",
        "      <td>  1455.4</td>\n",
        "      <td>  1404.3</td>\n",
        "      <td> -51.0</td>\n",
        "      <td> 0.093959</td>\n",
        "      <td> 0.296249</td>\n",
        "      <td> 0.318923</td>\n",
        "      <td> 0.290869</td>\n",
        "      <td> 13.613401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>160</th>\n",
        "      <td> 30860</td>\n",
        "      <td>                           Logan, UT-ID Metro Area</td>\n",
        "      <td>     325</td>\n",
        "      <td>    5195</td>\n",
        "      <td>    5520</td>\n",
        "      <td> 0.058877</td>\n",
        "      <td> False</td>\n",
        "      <td>   102720</td>\n",
        "      <td>   125442</td>\n",
        "      <td> 22.1</td>\n",
        "      <td>  2110.4</td>\n",
        "      <td>  1915.9</td>\n",
        "      <td>-194.4</td>\n",
        "      <td> 0.082302</td>\n",
        "      <td> 0.225486</td>\n",
        "      <td> 0.353240</td>\n",
        "      <td> 0.338973</td>\n",
        "      <td> 13.897767</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>161</th>\n",
        "      <td> 30980</td>\n",
        "      <td>                           Longview, TX Metro Area</td>\n",
        "      <td>   19740</td>\n",
        "      <td>   54537</td>\n",
        "      <td>   74277</td>\n",
        "      <td> 0.265762</td>\n",
        "      <td> False</td>\n",
        "      <td>   194042</td>\n",
        "      <td>   214369</td>\n",
        "      <td> 10.5</td>\n",
        "      <td>   834.5</td>\n",
        "      <td>   876.0</td>\n",
        "      <td>  41.5</td>\n",
        "      <td> 0.174978</td>\n",
        "      <td> 0.295103</td>\n",
        "      <td> 0.359825</td>\n",
        "      <td> 0.170093</td>\n",
        "      <td> 13.050067</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>162</th>\n",
        "      <td> 31020</td>\n",
        "      <td>                           Longview, WA Metro Area</td>\n",
        "      <td>   20897</td>\n",
        "      <td>   19107</td>\n",
        "      <td>   40004</td>\n",
        "      <td> 0.522373</td>\n",
        "      <td>  True</td>\n",
        "      <td>    92948</td>\n",
        "      <td>   102410</td>\n",
        "      <td> 10.2</td>\n",
        "      <td>  2036.9</td>\n",
        "      <td>  2005.7</td>\n",
        "      <td> -31.2</td>\n",
        "      <td> 0.124275</td>\n",
        "      <td> 0.294578</td>\n",
        "      <td> 0.428447</td>\n",
        "      <td> 0.152700</td>\n",
        "      <td> 13.219144</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>163</th>\n",
        "      <td> 31100</td>\n",
        "      <td>   Los Angeles-Long Beach-Santa Ana, CA Metro Area</td>\n",
        "      <td> 2129241</td>\n",
        "      <td> 1241192</td>\n",
        "      <td> 3370433</td>\n",
        "      <td> 0.631741</td>\n",
        "      <td>  True</td>\n",
        "      <td> 12365627</td>\n",
        "      <td> 12828837</td>\n",
        "      <td>  3.7</td>\n",
        "      <td> 12442.0</td>\n",
        "      <td> 12113.9</td>\n",
        "      <td>-328.1</td>\n",
        "      <td> 0.207889</td>\n",
        "      <td> 0.195260</td>\n",
        "      <td> 0.275322</td>\n",
        "      <td> 0.321528</td>\n",
        "      <td> 13.420979</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>164</th>\n",
        "      <td> 31140</td>\n",
        "      <td>     Louisville/Jefferson County, KY-IN Metro Area</td>\n",
        "      <td>  276264</td>\n",
        "      <td>  293219</td>\n",
        "      <td>  569483</td>\n",
        "      <td> 0.485114</td>\n",
        "      <td> False</td>\n",
        "      <td>  1161975</td>\n",
        "      <td>  1283566</td>\n",
        "      <td> 10.5</td>\n",
        "      <td>  2618.8</td>\n",
        "      <td>  2477.3</td>\n",
        "      <td>-141.4</td>\n",
        "      <td> 0.101122</td>\n",
        "      <td> 0.300291</td>\n",
        "      <td> 0.320301</td>\n",
        "      <td> 0.278285</td>\n",
        "      <td> 13.551498</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>165</th>\n",
        "      <td> 31180</td>\n",
        "      <td>                            Lubbock, TX Metro Area</td>\n",
        "      <td>   26727</td>\n",
        "      <td>   64265</td>\n",
        "      <td>   90992</td>\n",
        "      <td> 0.293729</td>\n",
        "      <td> False</td>\n",
        "      <td>   249700</td>\n",
        "      <td>   284890</td>\n",
        "      <td> 14.1</td>\n",
        "      <td>  3107.3</td>\n",
        "      <td>  3077.6</td>\n",
        "      <td> -29.7</td>\n",
        "      <td> 0.135585</td>\n",
        "      <td> 0.254623</td>\n",
        "      <td> 0.326282</td>\n",
        "      <td> 0.283510</td>\n",
        "      <td> 13.515434</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>166</th>\n",
        "      <td> 31340</td>\n",
        "      <td>                          Lynchburg, VA Metro Area</td>\n",
        "      <td>   43997</td>\n",
        "      <td>   82452</td>\n",
        "      <td>  126449</td>\n",
        "      <td> 0.347943</td>\n",
        "      <td> False</td>\n",
        "      <td>   228616</td>\n",
        "      <td>   252634</td>\n",
        "      <td> 10.5</td>\n",
        "      <td>   741.4</td>\n",
        "      <td>   808.3</td>\n",
        "      <td>  66.9</td>\n",
        "      <td> 0.113597</td>\n",
        "      <td> 0.335088</td>\n",
        "      <td> 0.307624</td>\n",
        "      <td> 0.243691</td>\n",
        "      <td> 13.362819</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>167</th>\n",
        "      <td> 31460</td>\n",
        "      <td>                  Madera-Chowchilla, CA Metro Area</td>\n",
        "      <td>   12698</td>\n",
        "      <td>   18990</td>\n",
        "      <td>   31688</td>\n",
        "      <td> 0.400720</td>\n",
        "      <td> False</td>\n",
        "      <td>   123109</td>\n",
        "      <td>   150865</td>\n",
        "      <td> 22.5</td>\n",
        "      <td>  1894.9</td>\n",
        "      <td>  2391.0</td>\n",
        "      <td> 496.1</td>\n",
        "      <td> 0.318071</td>\n",
        "      <td> 0.230815</td>\n",
        "      <td> 0.315252</td>\n",
        "      <td> 0.135862</td>\n",
        "      <td> 12.537811</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>168</th>\n",
        "      <td> 31540</td>\n",
        "      <td>                            Madison, WI Metro Area</td>\n",
        "      <td>  240646</td>\n",
        "      <td>  100775</td>\n",
        "      <td>  341421</td>\n",
        "      <td> 0.704837</td>\n",
        "      <td>  True</td>\n",
        "      <td>   501774</td>\n",
        "      <td>   568593</td>\n",
        "      <td> 13.3</td>\n",
        "      <td>  3728.7</td>\n",
        "      <td>  3502.2</td>\n",
        "      <td>-226.5</td>\n",
        "      <td> 0.044871</td>\n",
        "      <td> 0.199615</td>\n",
        "      <td> 0.307233</td>\n",
        "      <td> 0.448280</td>\n",
        "      <td> 14.317846</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>169</th>\n",
        "      <td> 31740</td>\n",
        "      <td>                          Manhattan, KS Metro Area</td>\n",
        "      <td>   14036</td>\n",
        "      <td>   22091</td>\n",
        "      <td>   36127</td>\n",
        "      <td> 0.388518</td>\n",
        "      <td> False</td>\n",
        "      <td>   108999</td>\n",
        "      <td>   127081</td>\n",
        "      <td> 16.6</td>\n",
        "      <td>  1786.3</td>\n",
        "      <td>  1766.3</td>\n",
        "      <td> -19.9</td>\n",
        "      <td> 0.048614</td>\n",
        "      <td> 0.222721</td>\n",
        "      <td> 0.370729</td>\n",
        "      <td> 0.357936</td>\n",
        "      <td> 14.075974</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>170</th>\n",
        "      <td> 31860</td>\n",
        "      <td>              Mankato-North Mankato, MN Metro Area</td>\n",
        "      <td>   27816</td>\n",
        "      <td>   23130</td>\n",
        "      <td>   50946</td>\n",
        "      <td> 0.545990</td>\n",
        "      <td>  True</td>\n",
        "      <td>    85712</td>\n",
        "      <td>    96740</td>\n",
        "      <td> 12.9</td>\n",
        "      <td>  1759.4</td>\n",
        "      <td>  1933.4</td>\n",
        "      <td> 174.0</td>\n",
        "      <td> 0.044645</td>\n",
        "      <td> 0.252731</td>\n",
        "      <td> 0.373591</td>\n",
        "      <td> 0.329032</td>\n",
        "      <td> 13.974022</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>171</th>\n",
        "      <td> 31900</td>\n",
        "      <td>                          Mansfield, OH Metro Area</td>\n",
        "      <td>   21785</td>\n",
        "      <td>   33057</td>\n",
        "      <td>   54842</td>\n",
        "      <td> 0.397232</td>\n",
        "      <td> False</td>\n",
        "      <td>   128852</td>\n",
        "      <td>   124475</td>\n",
        "      <td> -3.4</td>\n",
        "      <td>  1358.6</td>\n",
        "      <td>  1105.9</td>\n",
        "      <td>-252.7</td>\n",
        "      <td> 0.112995</td>\n",
        "      <td> 0.386160</td>\n",
        "      <td> 0.340276</td>\n",
        "      <td> 0.160569</td>\n",
        "      <td> 13.096840</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>172</th>\n",
        "      <td> 32580</td>\n",
        "      <td>           McAllen-Edinburg-Mission, TX Metro Area</td>\n",
        "      <td>   97879</td>\n",
        "      <td>   39786</td>\n",
        "      <td>  137665</td>\n",
        "      <td> 0.710994</td>\n",
        "      <td>  True</td>\n",
        "      <td>   569463</td>\n",
        "      <td>   774769</td>\n",
        "      <td> 36.1</td>\n",
        "      <td>  1863.9</td>\n",
        "      <td>  2083.8</td>\n",
        "      <td> 219.9</td>\n",
        "      <td> 0.338360</td>\n",
        "      <td> 0.251814</td>\n",
        "      <td> 0.238821</td>\n",
        "      <td> 0.171005</td>\n",
        "      <td> 12.484941</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>173</th>\n",
        "      <td> 32780</td>\n",
        "      <td>                            Medford, OR Metro Area</td>\n",
        "      <td>   42341</td>\n",
        "      <td>   46974</td>\n",
        "      <td>   89315</td>\n",
        "      <td> 0.474064</td>\n",
        "      <td> False</td>\n",
        "      <td>   181269</td>\n",
        "      <td>   203206</td>\n",
        "      <td> 12.1</td>\n",
        "      <td>  1946.1</td>\n",
        "      <td>  1939.4</td>\n",
        "      <td>  -6.7</td>\n",
        "      <td> 0.103290</td>\n",
        "      <td> 0.272907</td>\n",
        "      <td> 0.387613</td>\n",
        "      <td> 0.236190</td>\n",
        "      <td> 13.513405</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>174</th>\n",
        "      <td> 32820</td>\n",
        "      <td>                      Memphis, TN-MS-AR Metro Area</td>\n",
        "      <td>  293499</td>\n",
        "      <td>  227181</td>\n",
        "      <td>  520680</td>\n",
        "      <td> 0.563684</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1205204</td>\n",
        "      <td>  1316100</td>\n",
        "      <td>  9.2</td>\n",
        "      <td>  2723.5</td>\n",
        "      <td>  2372.3</td>\n",
        "      <td>-351.3</td>\n",
        "      <td> 0.119209</td>\n",
        "      <td> 0.285065</td>\n",
        "      <td> 0.325064</td>\n",
        "      <td> 0.270662</td>\n",
        "      <td> 13.494360</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>175</th>\n",
        "      <td> 32900</td>\n",
        "      <td>                             Merced, CA Metro Area</td>\n",
        "      <td>   26128</td>\n",
        "      <td>   23403</td>\n",
        "      <td>   49531</td>\n",
        "      <td> 0.527508</td>\n",
        "      <td>  True</td>\n",
        "      <td>   210554</td>\n",
        "      <td>   255793</td>\n",
        "      <td> 21.5</td>\n",
        "      <td>  2447.4</td>\n",
        "      <td>  2455.0</td>\n",
        "      <td>   7.7</td>\n",
        "      <td> 0.316541</td>\n",
        "      <td> 0.255532</td>\n",
        "      <td> 0.304581</td>\n",
        "      <td> 0.123346</td>\n",
        "      <td> 12.469463</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>176</th>\n",
        "      <td> 33140</td>\n",
        "      <td>             Michigan City-La Porte, IN Metro Area</td>\n",
        "      <td>   24104</td>\n",
        "      <td>   18609</td>\n",
        "      <td>   42713</td>\n",
        "      <td> 0.564325</td>\n",
        "      <td>  True</td>\n",
        "      <td>   110106</td>\n",
        "      <td>   111467</td>\n",
        "      <td>  1.2</td>\n",
        "      <td>  1257.5</td>\n",
        "      <td>  1177.3</td>\n",
        "      <td> -80.3</td>\n",
        "      <td> 0.114020</td>\n",
        "      <td> 0.375877</td>\n",
        "      <td> 0.343816</td>\n",
        "      <td> 0.166288</td>\n",
        "      <td> 13.124745</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>177</th>\n",
        "      <td> 33260</td>\n",
        "      <td>                            Midland, TX Metro Area</td>\n",
        "      <td>    8223</td>\n",
        "      <td>   35452</td>\n",
        "      <td>   43675</td>\n",
        "      <td> 0.188277</td>\n",
        "      <td> False</td>\n",
        "      <td>   116009</td>\n",
        "      <td>   136872</td>\n",
        "      <td> 18.0</td>\n",
        "      <td>  2535.7</td>\n",
        "      <td>  2684.2</td>\n",
        "      <td> 148.5</td>\n",
        "      <td> 0.172840</td>\n",
        "      <td> 0.231884</td>\n",
        "      <td> 0.365188</td>\n",
        "      <td> 0.230088</td>\n",
        "      <td> 13.305048</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>178</th>\n",
        "      <td> 33340</td>\n",
        "      <td>      Milwaukee-Waukesha-West Allis, WI Metro Area</td>\n",
        "      <td>  447918</td>\n",
        "      <td>  410697</td>\n",
        "      <td>  858615</td>\n",
        "      <td> 0.521675</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1500741</td>\n",
        "      <td>  1555908</td>\n",
        "      <td>  3.7</td>\n",
        "      <td>  5454.8</td>\n",
        "      <td>  5257.6</td>\n",
        "      <td>-197.2</td>\n",
        "      <td> 0.088384</td>\n",
        "      <td> 0.253305</td>\n",
        "      <td> 0.314605</td>\n",
        "      <td> 0.343706</td>\n",
        "      <td> 13.827266</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>179</th>\n",
        "      <td> 33460</td>\n",
        "      <td> Minneapolis-St. Paul-Bloomington, MN-WI Metro ...</td>\n",
        "      <td> 1029256</td>\n",
        "      <td>  803497</td>\n",
        "      <td> 1832753</td>\n",
        "      <td> 0.561590</td>\n",
        "      <td>  True</td>\n",
        "      <td>  2968806</td>\n",
        "      <td>  3279833</td>\n",
        "      <td> 10.5</td>\n",
        "      <td>  3617.3</td>\n",
        "      <td>  3383.4</td>\n",
        "      <td>-233.9</td>\n",
        "      <td> 0.060399</td>\n",
        "      <td> 0.204283</td>\n",
        "      <td> 0.326666</td>\n",
        "      <td> 0.408652</td>\n",
        "      <td> 14.167142</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>180</th>\n",
        "      <td> 33540</td>\n",
        "      <td>                           Missoula, MT Metro Area</td>\n",
        "      <td>   34380</td>\n",
        "      <td>   23285</td>\n",
        "      <td>   57665</td>\n",
        "      <td> 0.596202</td>\n",
        "      <td>  True</td>\n",
        "      <td>    95802</td>\n",
        "      <td>   109299</td>\n",
        "      <td> 14.1</td>\n",
        "      <td>  1827.5</td>\n",
        "      <td>  1908.0</td>\n",
        "      <td>  80.5</td>\n",
        "      <td> 0.034504</td>\n",
        "      <td> 0.212188</td>\n",
        "      <td> 0.347502</td>\n",
        "      <td> 0.405807</td>\n",
        "      <td> 14.249223</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>181</th>\n",
        "      <td> 33660</td>\n",
        "      <td>                             Mobile, AL Metro Area</td>\n",
        "      <td>   78417</td>\n",
        "      <td>   94566</td>\n",
        "      <td>  172983</td>\n",
        "      <td> 0.453322</td>\n",
        "      <td> False</td>\n",
        "      <td>   399843</td>\n",
        "      <td>   412992</td>\n",
        "      <td>  3.3</td>\n",
        "      <td>  1890.9</td>\n",
        "      <td>  1659.3</td>\n",
        "      <td>-231.7</td>\n",
        "      <td> 0.139078</td>\n",
        "      <td> 0.316103</td>\n",
        "      <td> 0.324864</td>\n",
        "      <td> 0.219955</td>\n",
        "      <td> 13.251390</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>182</th>\n",
        "      <td> 33700</td>\n",
        "      <td>                            Modesto, CA Metro Area</td>\n",
        "      <td>   70609</td>\n",
        "      <td>   69549</td>\n",
        "      <td>  140158</td>\n",
        "      <td> 0.503781</td>\n",
        "      <td>  True</td>\n",
        "      <td>   446997</td>\n",
        "      <td>   514453</td>\n",
        "      <td> 15.1</td>\n",
        "      <td>  4301.8</td>\n",
        "      <td>  4322.7</td>\n",
        "      <td>  21.0</td>\n",
        "      <td> 0.218580</td>\n",
        "      <td> 0.286012</td>\n",
        "      <td> 0.329368</td>\n",
        "      <td> 0.166040</td>\n",
        "      <td> 12.885736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>183</th>\n",
        "      <td> 33740</td>\n",
        "      <td>                             Monroe, LA Metro Area</td>\n",
        "      <td>   29704</td>\n",
        "      <td>   48488</td>\n",
        "      <td>   78192</td>\n",
        "      <td> 0.379885</td>\n",
        "      <td> False</td>\n",
        "      <td>   170053</td>\n",
        "      <td>   176441</td>\n",
        "      <td>  3.8</td>\n",
        "      <td>  1085.9</td>\n",
        "      <td>   995.8</td>\n",
        "      <td> -90.0</td>\n",
        "      <td> 0.142592</td>\n",
        "      <td> 0.346133</td>\n",
        "      <td> 0.297119</td>\n",
        "      <td> 0.214156</td>\n",
        "      <td> 13.165679</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>184</th>\n",
        "      <td> 33780</td>\n",
        "      <td>                             Monroe, MI Metro Area</td>\n",
        "      <td>   36310</td>\n",
        "      <td>   35593</td>\n",
        "      <td>   71903</td>\n",
        "      <td> 0.504986</td>\n",
        "      <td>  True</td>\n",
        "      <td>   145945</td>\n",
        "      <td>   152021</td>\n",
        "      <td>  4.2</td>\n",
        "      <td>   969.8</td>\n",
        "      <td>   919.0</td>\n",
        "      <td> -50.8</td>\n",
        "      <td> 0.079649</td>\n",
        "      <td> 0.349176</td>\n",
        "      <td> 0.381604</td>\n",
        "      <td> 0.189571</td>\n",
        "      <td> 13.362194</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>185</th>\n",
        "      <td> 33860</td>\n",
        "      <td>                         Montgomery, AL Metro Area</td>\n",
        "      <td>   84034</td>\n",
        "      <td>   83626</td>\n",
        "      <td>  167660</td>\n",
        "      <td> 0.501217</td>\n",
        "      <td>  True</td>\n",
        "      <td>   346528</td>\n",
        "      <td>   374536</td>\n",
        "      <td>  8.1</td>\n",
        "      <td>  1603.8</td>\n",
        "      <td>  1492.7</td>\n",
        "      <td>-111.2</td>\n",
        "      <td> 0.132634</td>\n",
        "      <td> 0.283355</td>\n",
        "      <td> 0.304873</td>\n",
        "      <td> 0.279139</td>\n",
        "      <td> 13.461034</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>186</th>\n",
        "      <td> 34060</td>\n",
        "      <td>                         Morgantown, WV Metro Area</td>\n",
        "      <td>   16580</td>\n",
        "      <td>   24513</td>\n",
        "      <td>   41093</td>\n",
        "      <td> 0.403475</td>\n",
        "      <td> False</td>\n",
        "      <td>   111200</td>\n",
        "      <td>   129709</td>\n",
        "      <td> 16.6</td>\n",
        "      <td>  2156.1</td>\n",
        "      <td>  2034.2</td>\n",
        "      <td>-121.9</td>\n",
        "      <td> 0.086276</td>\n",
        "      <td> 0.346937</td>\n",
        "      <td> 0.234277</td>\n",
        "      <td> 0.332510</td>\n",
        "      <td> 13.626042</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>187</th>\n",
        "      <td> 34100</td>\n",
        "      <td>                         Morristown, TN Metro Area</td>\n",
        "      <td>   11127</td>\n",
        "      <td>   33021</td>\n",
        "      <td>   44148</td>\n",
        "      <td> 0.252039</td>\n",
        "      <td> False</td>\n",
        "      <td>   123081</td>\n",
        "      <td>   136608</td>\n",
        "      <td> 11.0</td>\n",
        "      <td>   511.9</td>\n",
        "      <td>   554.2</td>\n",
        "      <td>  42.3</td>\n",
        "      <td> 0.172106</td>\n",
        "      <td> 0.410787</td>\n",
        "      <td> 0.266046</td>\n",
        "      <td> 0.151061</td>\n",
        "      <td> 12.792125</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>188</th>\n",
        "      <td> 34580</td>\n",
        "      <td>             Mount Vernon-Anacortes, WA Metro Area</td>\n",
        "      <td>   21875</td>\n",
        "      <td>   19418</td>\n",
        "      <td>   41293</td>\n",
        "      <td> 0.529751</td>\n",
        "      <td>  True</td>\n",
        "      <td>   102979</td>\n",
        "      <td>   116901</td>\n",
        "      <td> 13.5</td>\n",
        "      <td>  1208.3</td>\n",
        "      <td>  1286.5</td>\n",
        "      <td>  78.2</td>\n",
        "      <td> 0.107947</td>\n",
        "      <td> 0.250776</td>\n",
        "      <td> 0.407630</td>\n",
        "      <td> 0.233648</td>\n",
        "      <td> 13.533958</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>189</th>\n",
        "      <td> 34620</td>\n",
        "      <td>                             Muncie, IN Metro Area</td>\n",
        "      <td>   22630</td>\n",
        "      <td>   21231</td>\n",
        "      <td>   43861</td>\n",
        "      <td> 0.515948</td>\n",
        "      <td>  True</td>\n",
        "      <td>   118769</td>\n",
        "      <td>   117671</td>\n",
        "      <td> -0.9</td>\n",
        "      <td>  2219.5</td>\n",
        "      <td>  2377.0</td>\n",
        "      <td> 157.5</td>\n",
        "      <td> 0.095452</td>\n",
        "      <td> 0.338470</td>\n",
        "      <td> 0.321974</td>\n",
        "      <td> 0.244105</td>\n",
        "      <td> 13.429461</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>190</th>\n",
        "      <td> 34740</td>\n",
        "      <td>             Muskegon-Norton Shores, MI Metro Area</td>\n",
        "      <td>   44436</td>\n",
        "      <td>   30882</td>\n",
        "      <td>   75318</td>\n",
        "      <td> 0.589978</td>\n",
        "      <td>  True</td>\n",
        "      <td>   170200</td>\n",
        "      <td>   172188</td>\n",
        "      <td>  1.2</td>\n",
        "      <td>  1736.3</td>\n",
        "      <td>  1563.9</td>\n",
        "      <td>-172.4</td>\n",
        "      <td> 0.103380</td>\n",
        "      <td> 0.334608</td>\n",
        "      <td> 0.384571</td>\n",
        "      <td> 0.177442</td>\n",
        "      <td> 13.272148</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>191</th>\n",
        "      <td> 34900</td>\n",
        "      <td>                               Napa, CA Metro Area</td>\n",
        "      <td>   19964</td>\n",
        "      <td>   11647</td>\n",
        "      <td>   31611</td>\n",
        "      <td> 0.631552</td>\n",
        "      <td>  True</td>\n",
        "      <td>   124279</td>\n",
        "      <td>   136484</td>\n",
        "      <td>  9.8</td>\n",
        "      <td>  3739.2</td>\n",
        "      <td>  4045.9</td>\n",
        "      <td> 306.7</td>\n",
        "      <td> 0.186308</td>\n",
        "      <td> 0.184906</td>\n",
        "      <td> 0.320450</td>\n",
        "      <td> 0.308336</td>\n",
        "      <td> 13.501629</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>192</th>\n",
        "      <td> 34980</td>\n",
        "      <td> Nashville-Davidson--Murfreesboro--Franklin, TN...</td>\n",
        "      <td>  261550</td>\n",
        "      <td>  364057</td>\n",
        "      <td>  625607</td>\n",
        "      <td> 0.418074</td>\n",
        "      <td> False</td>\n",
        "      <td>  1311789</td>\n",
        "      <td>  1589934</td>\n",
        "      <td> 21.2</td>\n",
        "      <td>  1660.6</td>\n",
        "      <td>  1695.3</td>\n",
        "      <td>  34.6</td>\n",
        "      <td> 0.108614</td>\n",
        "      <td> 0.279311</td>\n",
        "      <td> 0.282466</td>\n",
        "      <td> 0.329609</td>\n",
        "      <td> 13.666139</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>193</th>\n",
        "      <td> 35380</td>\n",
        "      <td>        New Orleans-Metairie-Kenner, LA Metro Area</td>\n",
        "      <td>  252643</td>\n",
        "      <td>  253524</td>\n",
        "      <td>  506167</td>\n",
        "      <td> 0.499130</td>\n",
        "      <td> False</td>\n",
        "      <td>  1316510</td>\n",
        "      <td>  1167764</td>\n",
        "      <td>-11.3</td>\n",
        "      <td>  6118.9</td>\n",
        "      <td>  4370.2</td>\n",
        "      <td>   NaN</td>\n",
        "      <td> 0.136166</td>\n",
        "      <td> 0.283776</td>\n",
        "      <td> 0.302023</td>\n",
        "      <td> 0.278035</td>\n",
        "      <td> 13.443854</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>194</th>\n",
        "      <td> 35620</td>\n",
        "      <td> New York-Northern New Jersey-Long Island, NY-N...</td>\n",
        "      <td> 3852335</td>\n",
        "      <td> 2059511</td>\n",
        "      <td> 5911846</td>\n",
        "      <td> 0.651630</td>\n",
        "      <td>  True</td>\n",
        "      <td> 18323002</td>\n",
        "      <td> 18897109</td>\n",
        "      <td>  3.1</td>\n",
        "      <td> 31683.6</td>\n",
        "      <td> 31251.4</td>\n",
        "      <td>-432.2</td>\n",
        "      <td> 0.129354</td>\n",
        "      <td> 0.243847</td>\n",
        "      <td> 0.234864</td>\n",
        "      <td> 0.391935</td>\n",
        "      <td> 13.778762</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>195</th>\n",
        "      <td> 35660</td>\n",
        "      <td>                Niles-Benton Harbor, MI Metro Area</td>\n",
        "      <td>   33465</td>\n",
        "      <td>   38209</td>\n",
        "      <td>   71674</td>\n",
        "      <td> 0.466906</td>\n",
        "      <td> False</td>\n",
        "      <td>   162453</td>\n",
        "      <td>   156813</td>\n",
        "      <td> -3.5</td>\n",
        "      <td>  1149.5</td>\n",
        "      <td>  1056.1</td>\n",
        "      <td> -93.4</td>\n",
        "      <td> 0.103681</td>\n",
        "      <td> 0.301612</td>\n",
        "      <td> 0.337027</td>\n",
        "      <td> 0.257680</td>\n",
        "      <td> 13.497411</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>196</th>\n",
        "      <td> 36140</td>\n",
        "      <td>                         Ocean City, NJ Metro Area</td>\n",
        "      <td>   21275</td>\n",
        "      <td>   25488</td>\n",
        "      <td>   46763</td>\n",
        "      <td> 0.454954</td>\n",
        "      <td> False</td>\n",
        "      <td>   102326</td>\n",
        "      <td>    97265</td>\n",
        "      <td> -4.9</td>\n",
        "      <td>  1709.2</td>\n",
        "      <td>  1424.6</td>\n",
        "      <td>-284.6</td>\n",
        "      <td> 0.092862</td>\n",
        "      <td> 0.328773</td>\n",
        "      <td> 0.270808</td>\n",
        "      <td> 0.307557</td>\n",
        "      <td> 13.586122</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>197</th>\n",
        "      <td> 36220</td>\n",
        "      <td>                             Odessa, TX Metro Area</td>\n",
        "      <td>    8095</td>\n",
        "      <td>   23936</td>\n",
        "      <td>   32031</td>\n",
        "      <td> 0.252724</td>\n",
        "      <td> False</td>\n",
        "      <td>   121123</td>\n",
        "      <td>   137130</td>\n",
        "      <td> 13.2</td>\n",
        "      <td>  2484.8</td>\n",
        "      <td>  2519.6</td>\n",
        "      <td>  34.8</td>\n",
        "      <td> 0.249028</td>\n",
        "      <td> 0.288231</td>\n",
        "      <td> 0.331665</td>\n",
        "      <td> 0.131077</td>\n",
        "      <td> 12.689579</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>198</th>\n",
        "      <td> 36420</td>\n",
        "      <td>                      Oklahoma City, OK Metro Area</td>\n",
        "      <td>   61156</td>\n",
        "      <td>  142399</td>\n",
        "      <td>  203555</td>\n",
        "      <td> 0.300440</td>\n",
        "      <td> False</td>\n",
        "      <td>  1095421</td>\n",
        "      <td>  1252987</td>\n",
        "      <td> 14.4</td>\n",
        "      <td>  2588.7</td>\n",
        "      <td>  2568.8</td>\n",
        "      <td> -19.9</td>\n",
        "      <td> 0.115840</td>\n",
        "      <td> 0.262797</td>\n",
        "      <td> 0.328757</td>\n",
        "      <td> 0.292605</td>\n",
        "      <td> 13.596256</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>199</th>\n",
        "      <td> 36500</td>\n",
        "      <td>                            Olympia, WA Metro Area</td>\n",
        "      <td>   64879</td>\n",
        "      <td>   43703</td>\n",
        "      <td>  108582</td>\n",
        "      <td> 0.597512</td>\n",
        "      <td>  True</td>\n",
        "      <td>   207355</td>\n",
        "      <td>   252264</td>\n",
        "      <td> 21.7</td>\n",
        "      <td>  1556.6</td>\n",
        "      <td>  1702.9</td>\n",
        "      <td> 146.3</td>\n",
        "      <td> 0.052032</td>\n",
        "      <td> 0.229579</td>\n",
        "      <td> 0.391880</td>\n",
        "      <td> 0.326510</td>\n",
        "      <td> 13.985737</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>200</th>\n",
        "      <td> 36540</td>\n",
        "      <td>            Omaha-Council Bluffs, NE-IA Metro Area</td>\n",
        "      <td>  159970</td>\n",
        "      <td>  199693</td>\n",
        "      <td>  359663</td>\n",
        "      <td> 0.444777</td>\n",
        "      <td> False</td>\n",
        "      <td>   767041</td>\n",
        "      <td>   865350</td>\n",
        "      <td> 12.8</td>\n",
        "      <td>  3284.5</td>\n",
        "      <td>  3138.1</td>\n",
        "      <td>-146.4</td>\n",
        "      <td> 0.078624</td>\n",
        "      <td> 0.228108</td>\n",
        "      <td> 0.339578</td>\n",
        "      <td> 0.353691</td>\n",
        "      <td> 13.936672</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>201</th>\n",
        "      <td> 36780</td>\n",
        "      <td>                     Oshkosh-Neenah, WI Metro Area</td>\n",
        "      <td>   45410</td>\n",
        "      <td>   42073</td>\n",
        "      <td>   87483</td>\n",
        "      <td> 0.519072</td>\n",
        "      <td>  True</td>\n",
        "      <td>   156763</td>\n",
        "      <td>   166994</td>\n",
        "      <td>  6.5</td>\n",
        "      <td>  2866.4</td>\n",
        "      <td>  2701.8</td>\n",
        "      <td>-164.6</td>\n",
        "      <td> 0.068720</td>\n",
        "      <td> 0.317610</td>\n",
        "      <td> 0.348130</td>\n",
        "      <td> 0.265541</td>\n",
        "      <td> 13.620983</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>202</th>\n",
        "      <td> 36980</td>\n",
        "      <td>                          Owensboro, KY Metro Area</td>\n",
        "      <td>   19473</td>\n",
        "      <td>   30009</td>\n",
        "      <td>   49482</td>\n",
        "      <td> 0.393537</td>\n",
        "      <td> False</td>\n",
        "      <td>   109875</td>\n",
        "      <td>   114752</td>\n",
        "      <td>  4.4</td>\n",
        "      <td>  1350.5</td>\n",
        "      <td>  1347.4</td>\n",
        "      <td>  -3.1</td>\n",
        "      <td> 0.101848</td>\n",
        "      <td> 0.396077</td>\n",
        "      <td> 0.315966</td>\n",
        "      <td> 0.186108</td>\n",
        "      <td> 13.172668</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>203</th>\n",
        "      <td> 37100</td>\n",
        "      <td>       Oxnard-Thousand Oaks-Ventura, CA Metro Area</td>\n",
        "      <td>  138119</td>\n",
        "      <td>  123919</td>\n",
        "      <td>  262038</td>\n",
        "      <td> 0.527095</td>\n",
        "      <td>  True</td>\n",
        "      <td>   753197</td>\n",
        "      <td>   823318</td>\n",
        "      <td>  9.3</td>\n",
        "      <td>  5218.3</td>\n",
        "      <td>  5542.2</td>\n",
        "      <td> 323.9</td>\n",
        "      <td> 0.172682</td>\n",
        "      <td> 0.178690</td>\n",
        "      <td> 0.330470</td>\n",
        "      <td> 0.318159</td>\n",
        "      <td> 13.588211</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>204</th>\n",
        "      <td> 37620</td>\n",
        "      <td>     Parkersburg-Marietta-Vienna, WV-OH Metro Area</td>\n",
        "      <td>   24015</td>\n",
        "      <td>   42128</td>\n",
        "      <td>   66143</td>\n",
        "      <td> 0.363077</td>\n",
        "      <td> False</td>\n",
        "      <td>   164624</td>\n",
        "      <td>   162056</td>\n",
        "      <td> -1.6</td>\n",
        "      <td>  1215.0</td>\n",
        "      <td>  1135.9</td>\n",
        "      <td> -79.1</td>\n",
        "      <td> 0.083396</td>\n",
        "      <td> 0.382533</td>\n",
        "      <td> 0.351066</td>\n",
        "      <td> 0.183004</td>\n",
        "      <td> 13.267359</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>205</th>\n",
        "      <td> 37700</td>\n",
        "      <td>                         Pascagoula, MS Metro Area</td>\n",
        "      <td>   16804</td>\n",
        "      <td>   41615</td>\n",
        "      <td>   58419</td>\n",
        "      <td> 0.287646</td>\n",
        "      <td> False</td>\n",
        "      <td>   150564</td>\n",
        "      <td>   162246</td>\n",
        "      <td>  7.8</td>\n",
        "      <td>  1007.2</td>\n",
        "      <td>   862.8</td>\n",
        "      <td>-144.4</td>\n",
        "      <td> 0.122710</td>\n",
        "      <td> 0.324880</td>\n",
        "      <td> 0.362815</td>\n",
        "      <td> 0.189595</td>\n",
        "      <td> 13.238590</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>206</th>\n",
        "      <td> 37900</td>\n",
        "      <td>                             Peoria, IL Metro Area</td>\n",
        "      <td>   73546</td>\n",
        "      <td>   89644</td>\n",
        "      <td>  163190</td>\n",
        "      <td> 0.450677</td>\n",
        "      <td> False</td>\n",
        "      <td>   366899</td>\n",
        "      <td>   379186</td>\n",
        "      <td>  3.3</td>\n",
        "      <td>  1862.2</td>\n",
        "      <td>  1651.2</td>\n",
        "      <td>-211.0</td>\n",
        "      <td> 0.066741</td>\n",
        "      <td> 0.294018</td>\n",
        "      <td> 0.356551</td>\n",
        "      <td> 0.282690</td>\n",
        "      <td> 13.710381</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>207</th>\n",
        "      <td> 37980</td>\n",
        "      <td> Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Me...</td>\n",
        "      <td> 1754922</td>\n",
        "      <td>  966623</td>\n",
        "      <td> 2721545</td>\n",
        "      <td> 0.644826</td>\n",
        "      <td>  True</td>\n",
        "      <td>  5687147</td>\n",
        "      <td>  5965343</td>\n",
        "      <td>  4.9</td>\n",
        "      <td>  8064.3</td>\n",
        "      <td>  7773.2</td>\n",
        "      <td>-291.1</td>\n",
        "      <td> 0.088707</td>\n",
        "      <td> 0.292180</td>\n",
        "      <td> 0.260006</td>\n",
        "      <td> 0.359108</td>\n",
        "      <td> 13.779030</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>208</th>\n",
        "      <td> 38060</td>\n",
        "      <td>              Phoenix-Mesa-Glendale, AZ Metro Area</td>\n",
        "      <td>  553436</td>\n",
        "      <td>  713782</td>\n",
        "      <td> 1267218</td>\n",
        "      <td> 0.436733</td>\n",
        "      <td> False</td>\n",
        "      <td>  3251876</td>\n",
        "      <td>  4192887</td>\n",
        "      <td> 28.9</td>\n",
        "      <td>  5028.4</td>\n",
        "      <td>  4394.9</td>\n",
        "      <td>-633.4</td>\n",
        "      <td> 0.136396</td>\n",
        "      <td> 0.228553</td>\n",
        "      <td> 0.346807</td>\n",
        "      <td> 0.288244</td>\n",
        "      <td> 13.573796</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>209</th>\n",
        "      <td> 38220</td>\n",
        "      <td>                         Pine Bluff, AR Metro Area</td>\n",
        "      <td>   19725</td>\n",
        "      <td>   14027</td>\n",
        "      <td>   33752</td>\n",
        "      <td> 0.584410</td>\n",
        "      <td>  True</td>\n",
        "      <td>   107341</td>\n",
        "      <td>   100258</td>\n",
        "      <td> -6.6</td>\n",
        "      <td>  1021.7</td>\n",
        "      <td>   847.3</td>\n",
        "      <td>-174.5</td>\n",
        "      <td> 0.141340</td>\n",
        "      <td> 0.394656</td>\n",
        "      <td> 0.302499</td>\n",
        "      <td> 0.161504</td>\n",
        "      <td> 12.968336</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>210</th>\n",
        "      <td> 38300</td>\n",
        "      <td>                         Pittsburgh, PA Metro Area</td>\n",
        "      <td>  545787</td>\n",
        "      <td>  559798</td>\n",
        "      <td> 1105585</td>\n",
        "      <td> 0.493664</td>\n",
        "      <td> False</td>\n",
        "      <td>  2431087</td>\n",
        "      <td>  2356285</td>\n",
        "      <td> -3.1</td>\n",
        "      <td>  3290.0</td>\n",
        "      <td>  2990.8</td>\n",
        "      <td>-299.3</td>\n",
        "      <td> 0.051924</td>\n",
        "      <td> 0.319489</td>\n",
        "      <td> 0.290632</td>\n",
        "      <td> 0.337956</td>\n",
        "      <td> 13.829239</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>211</th>\n",
        "      <td> 38540</td>\n",
        "      <td>                          Pocatello, ID Metro Area</td>\n",
        "      <td>   14196</td>\n",
        "      <td>   22880</td>\n",
        "      <td>   37076</td>\n",
        "      <td> 0.382889</td>\n",
        "      <td> False</td>\n",
        "      <td>    83103</td>\n",
        "      <td>    90656</td>\n",
        "      <td>  9.1</td>\n",
        "      <td>  1730.3</td>\n",
        "      <td>  1803.9</td>\n",
        "      <td>  73.6</td>\n",
        "      <td> 0.073882</td>\n",
        "      <td> 0.281004</td>\n",
        "      <td> 0.373244</td>\n",
        "      <td> 0.271870</td>\n",
        "      <td> 13.686205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>212</th>\n",
        "      <td> 38900</td>\n",
        "      <td>    Portland-Vancouver-Hillsboro, OR-WA Metro Area</td>\n",
        "      <td>  601791</td>\n",
        "      <td>  369658</td>\n",
        "      <td>  971449</td>\n",
        "      <td> 0.619478</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1927881</td>\n",
        "      <td>  2226009</td>\n",
        "      <td> 15.5</td>\n",
        "      <td>  3994.4</td>\n",
        "      <td>  4372.6</td>\n",
        "      <td> 378.2</td>\n",
        "      <td> 0.088416</td>\n",
        "      <td> 0.210254</td>\n",
        "      <td> 0.347512</td>\n",
        "      <td> 0.353818</td>\n",
        "      <td> 13.933464</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>213</th>\n",
        "      <td> 39100</td>\n",
        "      <td>   Poughkeepsie-Newburgh-Middletown, NY Metro Area</td>\n",
        "      <td>  127594</td>\n",
        "      <td>  113304</td>\n",
        "      <td>  240898</td>\n",
        "      <td> 0.529660</td>\n",
        "      <td>  True</td>\n",
        "      <td>   621517</td>\n",
        "      <td>   670301</td>\n",
        "      <td>  7.8</td>\n",
        "      <td>  2078.5</td>\n",
        "      <td>  2319.5</td>\n",
        "      <td> 241.0</td>\n",
        "      <td> 0.098064</td>\n",
        "      <td> 0.262666</td>\n",
        "      <td> 0.314530</td>\n",
        "      <td> 0.324740</td>\n",
        "      <td> 13.731891</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>214</th>\n",
        "      <td> 39140</td>\n",
        "      <td>                           Prescott, AZ Metro Area</td>\n",
        "      <td>   32624</td>\n",
        "      <td>   62385</td>\n",
        "      <td>   95009</td>\n",
        "      <td> 0.343378</td>\n",
        "      <td> False</td>\n",
        "      <td>   167517</td>\n",
        "      <td>   211033</td>\n",
        "      <td> 26.0</td>\n",
        "      <td>   690.1</td>\n",
        "      <td>   724.5</td>\n",
        "      <td>  34.4</td>\n",
        "      <td> 0.104864</td>\n",
        "      <td> 0.267409</td>\n",
        "      <td> 0.403822</td>\n",
        "      <td> 0.223904</td>\n",
        "      <td> 13.493532</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>215</th>\n",
        "      <td> 39540</td>\n",
        "      <td>                             Racine, WI Metro Area</td>\n",
        "      <td>   52887</td>\n",
        "      <td>   49173</td>\n",
        "      <td>  102060</td>\n",
        "      <td> 0.518195</td>\n",
        "      <td>  True</td>\n",
        "      <td>   188831</td>\n",
        "      <td>   195408</td>\n",
        "      <td>  3.5</td>\n",
        "      <td>  3151.6</td>\n",
        "      <td>  2905.0</td>\n",
        "      <td>-246.6</td>\n",
        "      <td> 0.099867</td>\n",
        "      <td> 0.307108</td>\n",
        "      <td> 0.352435</td>\n",
        "      <td> 0.240590</td>\n",
        "      <td> 13.467494</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>216</th>\n",
        "      <td> 39580</td>\n",
        "      <td>                       Raleigh-Cary, NC Metro Area</td>\n",
        "      <td>  327308</td>\n",
        "      <td>  295619</td>\n",
        "      <td>  622927</td>\n",
        "      <td> 0.525436</td>\n",
        "      <td>  True</td>\n",
        "      <td>   797071</td>\n",
        "      <td>  1130490</td>\n",
        "      <td> 41.8</td>\n",
        "      <td>  1694.1</td>\n",
        "      <td>  1850.1</td>\n",
        "      <td> 156.1</td>\n",
        "      <td> 0.090093</td>\n",
        "      <td> 0.186015</td>\n",
        "      <td> 0.290728</td>\n",
        "      <td> 0.433164</td>\n",
        "      <td> 14.133924</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>217</th>\n",
        "      <td> 39660</td>\n",
        "      <td>                         Rapid City, SD Metro Area</td>\n",
        "      <td>   18050</td>\n",
        "      <td>   35789</td>\n",
        "      <td>   53839</td>\n",
        "      <td> 0.335259</td>\n",
        "      <td> False</td>\n",
        "      <td>   112818</td>\n",
        "      <td>   126382</td>\n",
        "      <td> 12.0</td>\n",
        "      <td>  1253.6</td>\n",
        "      <td>  1170.8</td>\n",
        "      <td> -82.8</td>\n",
        "      <td> 0.073462</td>\n",
        "      <td> 0.276567</td>\n",
        "      <td> 0.380153</td>\n",
        "      <td> 0.269818</td>\n",
        "      <td> 13.692654</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>218</th>\n",
        "      <td> 39740</td>\n",
        "      <td>                            Reading, PA Metro Area</td>\n",
        "      <td>   79895</td>\n",
        "      <td>   80857</td>\n",
        "      <td>  160752</td>\n",
        "      <td> 0.497008</td>\n",
        "      <td> False</td>\n",
        "      <td>   373638</td>\n",
        "      <td>   411442</td>\n",
        "      <td> 10.1</td>\n",
        "      <td>  4316.3</td>\n",
        "      <td>  4656.8</td>\n",
        "      <td> 340.5</td>\n",
        "      <td> 0.125915</td>\n",
        "      <td> 0.365747</td>\n",
        "      <td> 0.254981</td>\n",
        "      <td> 0.253356</td>\n",
        "      <td> 13.271558</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>219</th>\n",
        "      <td> 39820</td>\n",
        "      <td>                            Redding, CA Metro Area</td>\n",
        "      <td>   18184</td>\n",
        "      <td>   34561</td>\n",
        "      <td>   52745</td>\n",
        "      <td> 0.344753</td>\n",
        "      <td> False</td>\n",
        "      <td>   163256</td>\n",
        "      <td>   177223</td>\n",
        "      <td>  8.6</td>\n",
        "      <td>  1227.5</td>\n",
        "      <td>  1334.2</td>\n",
        "      <td> 106.8</td>\n",
        "      <td> 0.107729</td>\n",
        "      <td> 0.252293</td>\n",
        "      <td> 0.443810</td>\n",
        "      <td> 0.196168</td>\n",
        "      <td> 13.456834</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>220</th>\n",
        "      <td> 39900</td>\n",
        "      <td>                        Reno-Sparks, NV Metro Area</td>\n",
        "      <td>   95726</td>\n",
        "      <td>   89472</td>\n",
        "      <td>  185198</td>\n",
        "      <td> 0.516885</td>\n",
        "      <td>  True</td>\n",
        "      <td>   342885</td>\n",
        "      <td>   425417</td>\n",
        "      <td> 24.1</td>\n",
        "      <td>  4268.8</td>\n",
        "      <td>  3714.7</td>\n",
        "      <td>-554.1</td>\n",
        "      <td> 0.138357</td>\n",
        "      <td> 0.237331</td>\n",
        "      <td> 0.350073</td>\n",
        "      <td> 0.274239</td>\n",
        "      <td> 13.520387</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>221</th>\n",
        "      <td> 40060</td>\n",
        "      <td>                           Richmond, VA Metro Area</td>\n",
        "      <td>  336187</td>\n",
        "      <td>  308208</td>\n",
        "      <td>  644395</td>\n",
        "      <td> 0.521710</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1096957</td>\n",
        "      <td>  1258251</td>\n",
        "      <td> 14.7</td>\n",
        "      <td>  2159.1</td>\n",
        "      <td>  2175.7</td>\n",
        "      <td>  16.6</td>\n",
        "      <td> 0.113296</td>\n",
        "      <td> 0.260603</td>\n",
        "      <td> 0.286089</td>\n",
        "      <td> 0.340012</td>\n",
        "      <td> 13.705635</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>222</th>\n",
        "      <td> 40140</td>\n",
        "      <td>   Riverside-San Bernardino-Ontario, CA Metro Area</td>\n",
        "      <td>  561957</td>\n",
        "      <td>  535695</td>\n",
        "      <td> 1097652</td>\n",
        "      <td> 0.511963</td>\n",
        "      <td>  True</td>\n",
        "      <td>  3254821</td>\n",
        "      <td>  4224851</td>\n",
        "      <td> 29.8</td>\n",
        "      <td>  4060.4</td>\n",
        "      <td>  4299.6</td>\n",
        "      <td> 239.2</td>\n",
        "      <td> 0.208626</td>\n",
        "      <td> 0.255236</td>\n",
        "      <td> 0.343530</td>\n",
        "      <td> 0.192609</td>\n",
        "      <td> 13.040242</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>223</th>\n",
        "      <td> 40220</td>\n",
        "      <td>                            Roanoke, VA Metro Area</td>\n",
        "      <td>   61885</td>\n",
        "      <td>   85662</td>\n",
        "      <td>  147547</td>\n",
        "      <td> 0.419426</td>\n",
        "      <td> False</td>\n",
        "      <td>   288309</td>\n",
        "      <td>   308707</td>\n",
        "      <td>  7.1</td>\n",
        "      <td>  1519.5</td>\n",
        "      <td>  1483.4</td>\n",
        "      <td> -36.1</td>\n",
        "      <td> 0.105264</td>\n",
        "      <td> 0.295380</td>\n",
        "      <td> 0.313882</td>\n",
        "      <td> 0.285474</td>\n",
        "      <td> 13.559132</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>224</th>\n",
        "      <td> 40340</td>\n",
        "      <td>                          Rochester, MN Metro Area</td>\n",
        "      <td>   49240</td>\n",
        "      <td>   48403</td>\n",
        "      <td>   97643</td>\n",
        "      <td> 0.504286</td>\n",
        "      <td>  True</td>\n",
        "      <td>   163618</td>\n",
        "      <td>   186011</td>\n",
        "      <td> 13.7</td>\n",
        "      <td>  1663.0</td>\n",
        "      <td>  1549.6</td>\n",
        "      <td>-113.4</td>\n",
        "      <td> 0.051365</td>\n",
        "      <td> 0.210971</td>\n",
        "      <td> 0.354380</td>\n",
        "      <td> 0.383284</td>\n",
        "      <td> 14.139167</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>225</th>\n",
        "      <td> 40380</td>\n",
        "      <td>                          Rochester, NY Metro Area</td>\n",
        "      <td>  231212</td>\n",
        "      <td>  186368</td>\n",
        "      <td>  417580</td>\n",
        "      <td> 0.553695</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1037831</td>\n",
        "      <td>  1054323</td>\n",
        "      <td>  1.6</td>\n",
        "      <td>  3096.9</td>\n",
        "      <td>  2909.0</td>\n",
        "      <td>-187.9</td>\n",
        "      <td> 0.084545</td>\n",
        "      <td> 0.255542</td>\n",
        "      <td> 0.315812</td>\n",
        "      <td> 0.344101</td>\n",
        "      <td> 13.838936</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>226</th>\n",
        "      <td> 40420</td>\n",
        "      <td>                           Rockford, IL Metro Area</td>\n",
        "      <td>   70202</td>\n",
        "      <td>   64806</td>\n",
        "      <td>  135008</td>\n",
        "      <td> 0.519984</td>\n",
        "      <td>  True</td>\n",
        "      <td>   320204</td>\n",
        "      <td>   349431</td>\n",
        "      <td>  9.1</td>\n",
        "      <td>  2592.2</td>\n",
        "      <td>  2381.4</td>\n",
        "      <td>-210.7</td>\n",
        "      <td> 0.122510</td>\n",
        "      <td> 0.332209</td>\n",
        "      <td> 0.329210</td>\n",
        "      <td> 0.216071</td>\n",
        "      <td> 13.277683</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>227</th>\n",
        "      <td> 40580</td>\n",
        "      <td>                        Rocky Mount, NC Metro Area</td>\n",
        "      <td>   42463</td>\n",
        "      <td>   32263</td>\n",
        "      <td>   74726</td>\n",
        "      <td> 0.568249</td>\n",
        "      <td>  True</td>\n",
        "      <td>   143026</td>\n",
        "      <td>   152392</td>\n",
        "      <td>  6.5</td>\n",
        "      <td>   567.4</td>\n",
        "      <td>   525.7</td>\n",
        "      <td> -41.7</td>\n",
        "      <td> 0.155924</td>\n",
        "      <td> 0.349374</td>\n",
        "      <td> 0.335828</td>\n",
        "      <td> 0.158874</td>\n",
        "      <td> 12.995306</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>228</th>\n",
        "      <td> 40900</td>\n",
        "      <td> Sacramento--Arden-Arcade--Roseville, CA Metro ...</td>\n",
        "      <td>  343078</td>\n",
        "      <td>  300889</td>\n",
        "      <td>  643967</td>\n",
        "      <td> 0.532757</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1796857</td>\n",
        "      <td>  2149127</td>\n",
        "      <td> 19.6</td>\n",
        "      <td>  4584.3</td>\n",
        "      <td>  4538.5</td>\n",
        "      <td> -45.8</td>\n",
        "      <td> 0.113690</td>\n",
        "      <td> 0.204999</td>\n",
        "      <td> 0.372665</td>\n",
        "      <td> 0.308646</td>\n",
        "      <td> 13.752535</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>229</th>\n",
        "      <td> 40980</td>\n",
        "      <td>     Saginaw-Saginaw Township North, MI Metro Area</td>\n",
        "      <td>   54372</td>\n",
        "      <td>   42716</td>\n",
        "      <td>   97088</td>\n",
        "      <td> 0.560028</td>\n",
        "      <td>  True</td>\n",
        "      <td>   210039</td>\n",
        "      <td>   200169</td>\n",
        "      <td> -4.7</td>\n",
        "      <td>  1910.1</td>\n",
        "      <td>  1601.2</td>\n",
        "      <td>-308.9</td>\n",
        "      <td> 0.101235</td>\n",
        "      <td> 0.321575</td>\n",
        "      <td> 0.368221</td>\n",
        "      <td> 0.208969</td>\n",
        "      <td> 13.369845</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>230</th>\n",
        "      <td> 41060</td>\n",
        "      <td>                          St. Cloud, MN Metro Area</td>\n",
        "      <td>   41725</td>\n",
        "      <td>   53864</td>\n",
        "      <td>   95589</td>\n",
        "      <td> 0.436504</td>\n",
        "      <td> False</td>\n",
        "      <td>   167392</td>\n",
        "      <td>   189093</td>\n",
        "      <td> 13.0</td>\n",
        "      <td>  1231.3</td>\n",
        "      <td>  1260.7</td>\n",
        "      <td>  29.4</td>\n",
        "      <td> 0.054567</td>\n",
        "      <td> 0.278178</td>\n",
        "      <td> 0.410757</td>\n",
        "      <td> 0.256497</td>\n",
        "      <td> 13.738370</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>231</th>\n",
        "      <td> 41140</td>\n",
        "      <td>                      St. Joseph, MO-KS Metro Area</td>\n",
        "      <td>   20322</td>\n",
        "      <td>   29570</td>\n",
        "      <td>   49892</td>\n",
        "      <td> 0.407320</td>\n",
        "      <td> False</td>\n",
        "      <td>   122336</td>\n",
        "      <td>   127329</td>\n",
        "      <td>  4.1</td>\n",
        "      <td>  1609.9</td>\n",
        "      <td>  1621.5</td>\n",
        "      <td>  11.6</td>\n",
        "      <td> 0.111487</td>\n",
        "      <td> 0.382960</td>\n",
        "      <td> 0.303095</td>\n",
        "      <td> 0.202458</td>\n",
        "      <td> 13.193046</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>232</th>\n",
        "      <td> 41180</td>\n",
        "      <td>                       St. Louis, MO-IL Metro Area</td>\n",
        "      <td>  711940</td>\n",
        "      <td>  622117</td>\n",
        "      <td> 1334057</td>\n",
        "      <td> 0.533665</td>\n",
        "      <td>  True</td>\n",
        "      <td>  2698687</td>\n",
        "      <td>  2812896</td>\n",
        "      <td>  4.2</td>\n",
        "      <td>  3015.9</td>\n",
        "      <td>  2742.5</td>\n",
        "      <td>-273.5</td>\n",
        "      <td> 0.079379</td>\n",
        "      <td> 0.256544</td>\n",
        "      <td> 0.334408</td>\n",
        "      <td> 0.329668</td>\n",
        "      <td> 13.828729</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>233</th>\n",
        "      <td> 41420</td>\n",
        "      <td>                              Salem, OR Metro Area</td>\n",
        "      <td>   70098</td>\n",
        "      <td>   75812</td>\n",
        "      <td>  145910</td>\n",
        "      <td> 0.480419</td>\n",
        "      <td> False</td>\n",
        "      <td>   347214</td>\n",
        "      <td>   390738</td>\n",
        "      <td> 12.5</td>\n",
        "      <td>  2660.4</td>\n",
        "      <td>  2958.1</td>\n",
        "      <td> 297.7</td>\n",
        "      <td> 0.160829</td>\n",
        "      <td> 0.254213</td>\n",
        "      <td> 0.361548</td>\n",
        "      <td> 0.223411</td>\n",
        "      <td> 13.295080</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>234</th>\n",
        "      <td> 41500</td>\n",
        "      <td>                            Salinas, CA Metro Area</td>\n",
        "      <td>   51712</td>\n",
        "      <td>   25087</td>\n",
        "      <td>   76799</td>\n",
        "      <td> 0.673342</td>\n",
        "      <td>  True</td>\n",
        "      <td>   401762</td>\n",
        "      <td>   415057</td>\n",
        "      <td>  3.3</td>\n",
        "      <td>  6735.2</td>\n",
        "      <td>  6402.3</td>\n",
        "      <td>-332.9</td>\n",
        "      <td> 0.308936</td>\n",
        "      <td> 0.202308</td>\n",
        "      <td> 0.272461</td>\n",
        "      <td> 0.216294</td>\n",
        "      <td> 12.792227</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>235</th>\n",
        "      <td> 41540</td>\n",
        "      <td>                          Salisbury, MD Metro Area</td>\n",
        "      <td>   21959</td>\n",
        "      <td>   24842</td>\n",
        "      <td>   46801</td>\n",
        "      <td> 0.469199</td>\n",
        "      <td> False</td>\n",
        "      <td>   109391</td>\n",
        "      <td>   125203</td>\n",
        "      <td> 14.5</td>\n",
        "      <td>  1057.7</td>\n",
        "      <td>  1089.8</td>\n",
        "      <td>  32.1</td>\n",
        "      <td> 0.139157</td>\n",
        "      <td> 0.334192</td>\n",
        "      <td> 0.273081</td>\n",
        "      <td> 0.253570</td>\n",
        "      <td> 13.282130</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>236</th>\n",
        "      <td> 41660</td>\n",
        "      <td>                         San Angelo, TX Metro Area</td>\n",
        "      <td>    9358</td>\n",
        "      <td>   27417</td>\n",
        "      <td>   36775</td>\n",
        "      <td> 0.254466</td>\n",
        "      <td> False</td>\n",
        "      <td>   105781</td>\n",
        "      <td>   111823</td>\n",
        "      <td>  5.7</td>\n",
        "      <td>  1909.2</td>\n",
        "      <td>  1905.7</td>\n",
        "      <td>  -3.5</td>\n",
        "      <td> 0.148698</td>\n",
        "      <td> 0.326161</td>\n",
        "      <td> 0.308887</td>\n",
        "      <td> 0.216253</td>\n",
        "      <td> 13.185393</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>237</th>\n",
        "      <td> 41700</td>\n",
        "      <td>          San Antonio-New Braunfels, TX Metro Area</td>\n",
        "      <td>  310563</td>\n",
        "      <td>  365331</td>\n",
        "      <td>  675894</td>\n",
        "      <td> 0.459485</td>\n",
        "      <td> False</td>\n",
        "      <td>  1711703</td>\n",
        "      <td>  2142508</td>\n",
        "      <td> 25.2</td>\n",
        "      <td>  3570.4</td>\n",
        "      <td>  3475.4</td>\n",
        "      <td> -94.9</td>\n",
        "      <td> 0.148868</td>\n",
        "      <td> 0.253108</td>\n",
        "      <td> 0.330056</td>\n",
        "      <td> 0.267969</td>\n",
        "      <td> 13.434252</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>238</th>\n",
        "      <td> 41740</td>\n",
        "      <td>      San Diego-Carlsbad-San Marcos, CA Metro Area</td>\n",
        "      <td>  478386</td>\n",
        "      <td>  431046</td>\n",
        "      <td>  909432</td>\n",
        "      <td> 0.526027</td>\n",
        "      <td>  True</td>\n",
        "      <td>  2813833</td>\n",
        "      <td>  3095313</td>\n",
        "      <td> 10.0</td>\n",
        "      <td>  7094.4</td>\n",
        "      <td>  6920.5</td>\n",
        "      <td>-173.9</td>\n",
        "      <td> 0.136432</td>\n",
        "      <td> 0.186498</td>\n",
        "      <td> 0.330293</td>\n",
        "      <td> 0.346778</td>\n",
        "      <td> 13.774835</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>239</th>\n",
        "      <td> 41780</td>\n",
        "      <td>                           Sandusky, OH Metro Area</td>\n",
        "      <td>   20969</td>\n",
        "      <td>   16655</td>\n",
        "      <td>   37624</td>\n",
        "      <td> 0.557330</td>\n",
        "      <td>  True</td>\n",
        "      <td>    79551</td>\n",
        "      <td>    77079</td>\n",
        "      <td> -3.1</td>\n",
        "      <td>  2019.8</td>\n",
        "      <td>  1782.7</td>\n",
        "      <td>-237.1</td>\n",
        "      <td> 0.084344</td>\n",
        "      <td> 0.390294</td>\n",
        "      <td> 0.317312</td>\n",
        "      <td> 0.208050</td>\n",
        "      <td> 13.298137</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>240</th>\n",
        "      <td> 41860</td>\n",
        "      <td>      San Francisco-Oakland-Fremont, CA Metro Area</td>\n",
        "      <td> 1161260</td>\n",
        "      <td>  339122</td>\n",
        "      <td> 1500382</td>\n",
        "      <td> 0.773976</td>\n",
        "      <td>  True</td>\n",
        "      <td>  4123740</td>\n",
        "      <td>  4335391</td>\n",
        "      <td>  5.1</td>\n",
        "      <td> 12438.4</td>\n",
        "      <td> 12144.9</td>\n",
        "      <td>-293.4</td>\n",
        "      <td> 0.110650</td>\n",
        "      <td> 0.163766</td>\n",
        "      <td> 0.262930</td>\n",
        "      <td> 0.462654</td>\n",
        "      <td> 14.155177</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>241</th>\n",
        "      <td> 41940</td>\n",
        "      <td>     San Jose-Sunnyvale-Santa Clara, CA Metro Area</td>\n",
        "      <td>  351856</td>\n",
        "      <td>  142399</td>\n",
        "      <td>  494255</td>\n",
        "      <td> 0.711892</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1735819</td>\n",
        "      <td>  1836911</td>\n",
        "      <td>  5.8</td>\n",
        "      <td>  8300.4</td>\n",
        "      <td>  8417.7</td>\n",
        "      <td> 117.3</td>\n",
        "      <td> 0.122293</td>\n",
        "      <td> 0.152168</td>\n",
        "      <td> 0.250334</td>\n",
        "      <td> 0.475204</td>\n",
        "      <td> 14.156899</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>242</th>\n",
        "      <td> 42020</td>\n",
        "      <td>        San Luis Obispo-Paso Robles, CA Metro Area</td>\n",
        "      <td>   57655</td>\n",
        "      <td>   56500</td>\n",
        "      <td>  114155</td>\n",
        "      <td> 0.505059</td>\n",
        "      <td>  True</td>\n",
        "      <td>   246681</td>\n",
        "      <td>   269637</td>\n",
        "      <td>  9.3</td>\n",
        "      <td>  2352.4</td>\n",
        "      <td>  2293.4</td>\n",
        "      <td> -59.0</td>\n",
        "      <td> 0.105677</td>\n",
        "      <td> 0.198341</td>\n",
        "      <td> 0.388413</td>\n",
        "      <td> 0.307569</td>\n",
        "      <td> 13.795747</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>243</th>\n",
        "      <td> 42060</td>\n",
        "      <td>   Santa Barbara-Santa Maria-Goleta, CA Metro Area</td>\n",
        "      <td>   84279</td>\n",
        "      <td>   59096</td>\n",
        "      <td>  143375</td>\n",
        "      <td> 0.587822</td>\n",
        "      <td>  True</td>\n",
        "      <td>   399347</td>\n",
        "      <td>   423895</td>\n",
        "      <td>  6.1</td>\n",
        "      <td>  6041.4</td>\n",
        "      <td>  6242.8</td>\n",
        "      <td> 201.4</td>\n",
        "      <td> 0.217592</td>\n",
        "      <td> 0.173816</td>\n",
        "      <td> 0.306379</td>\n",
        "      <td> 0.302212</td>\n",
        "      <td> 13.386424</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>244</th>\n",
        "      <td> 42100</td>\n",
        "      <td>             Santa Cruz-Watsonville, CA Metro Area</td>\n",
        "      <td>   61106</td>\n",
        "      <td>   17132</td>\n",
        "      <td>   78238</td>\n",
        "      <td> 0.781027</td>\n",
        "      <td>  True</td>\n",
        "      <td>   255602</td>\n",
        "      <td>   262382</td>\n",
        "      <td>  2.7</td>\n",
        "      <td>  4479.6</td>\n",
        "      <td>  4553.7</td>\n",
        "      <td>  74.1</td>\n",
        "      <td> 0.151527</td>\n",
        "      <td> 0.150062</td>\n",
        "      <td> 0.333661</td>\n",
        "      <td> 0.364751</td>\n",
        "      <td> 13.823272</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>245</th>\n",
        "      <td> 42140</td>\n",
        "      <td>                           Santa Fe, NM Metro Area</td>\n",
        "      <td>   49668</td>\n",
        "      <td>   15145</td>\n",
        "      <td>   64813</td>\n",
        "      <td> 0.766328</td>\n",
        "      <td>  True</td>\n",
        "      <td>   129292</td>\n",
        "      <td>   144170</td>\n",
        "      <td> 11.5</td>\n",
        "      <td>  1845.2</td>\n",
        "      <td>  1770.8</td>\n",
        "      <td> -74.4</td>\n",
        "      <td> 0.140824</td>\n",
        "      <td> 0.201445</td>\n",
        "      <td> 0.286408</td>\n",
        "      <td> 0.371322</td>\n",
        "      <td> 13.776456</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>246</th>\n",
        "      <td> 42220</td>\n",
        "      <td>                Santa Rosa-Petaluma, CA Metro Area</td>\n",
        "      <td>  124504</td>\n",
        "      <td>   45666</td>\n",
        "      <td>  170170</td>\n",
        "      <td> 0.731645</td>\n",
        "      <td>  True</td>\n",
        "      <td>   458614</td>\n",
        "      <td>   483878</td>\n",
        "      <td>  5.5</td>\n",
        "      <td>  3163.0</td>\n",
        "      <td>  3253.6</td>\n",
        "      <td>  90.6</td>\n",
        "      <td> 0.135071</td>\n",
        "      <td> 0.197645</td>\n",
        "      <td> 0.355295</td>\n",
        "      <td> 0.311988</td>\n",
        "      <td> 13.688401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>247</th>\n",
        "      <td> 42540</td>\n",
        "      <td>             Scranton--Wilkes-Barre, PA Metro Area</td>\n",
        "      <td>  130095</td>\n",
        "      <td>   98888</td>\n",
        "      <td>  228983</td>\n",
        "      <td> 0.568143</td>\n",
        "      <td>  True</td>\n",
        "      <td>   560625</td>\n",
        "      <td>   563631</td>\n",
        "      <td>  0.5</td>\n",
        "      <td>  2954.4</td>\n",
        "      <td>  2889.1</td>\n",
        "      <td> -65.4</td>\n",
        "      <td> 0.084136</td>\n",
        "      <td> 0.364955</td>\n",
        "      <td> 0.293491</td>\n",
        "      <td> 0.257418</td>\n",
        "      <td> 13.448384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>248</th>\n",
        "      <td> 42660</td>\n",
        "      <td>            Seattle-Tacoma-Bellevue, WA Metro Area</td>\n",
        "      <td>  950201</td>\n",
        "      <td>  517758</td>\n",
        "      <td> 1467959</td>\n",
        "      <td> 0.647294</td>\n",
        "      <td>  True</td>\n",
        "      <td>  3043878</td>\n",
        "      <td>  3439809</td>\n",
        "      <td> 13.0</td>\n",
        "      <td>  4474.3</td>\n",
        "      <td>  4721.6</td>\n",
        "      <td> 247.3</td>\n",
        "      <td> 0.077441</td>\n",
        "      <td> 0.205373</td>\n",
        "      <td> 0.332532</td>\n",
        "      <td> 0.384654</td>\n",
        "      <td> 14.048796</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>249</th>\n",
        "      <td> 43100</td>\n",
        "      <td>                          Sheboygan, WI Metro Area</td>\n",
        "      <td>   28356</td>\n",
        "      <td>   34282</td>\n",
        "      <td>   62638</td>\n",
        "      <td> 0.452696</td>\n",
        "      <td> False</td>\n",
        "      <td>   112646</td>\n",
        "      <td>   115507</td>\n",
        "      <td>  2.5</td>\n",
        "      <td>  2309.5</td>\n",
        "      <td>  2088.2</td>\n",
        "      <td>-221.3</td>\n",
        "      <td> 0.078796</td>\n",
        "      <td> 0.330789</td>\n",
        "      <td> 0.338292</td>\n",
        "      <td> 0.252123</td>\n",
        "      <td> 13.527481</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>250</th>\n",
        "      <td> 43300</td>\n",
        "      <td>                    Sherman-Denison, TX Metro Area</td>\n",
        "      <td>   10665</td>\n",
        "      <td>   30907</td>\n",
        "      <td>   41572</td>\n",
        "      <td> 0.256543</td>\n",
        "      <td> False</td>\n",
        "      <td>   110595</td>\n",
        "      <td>   120877</td>\n",
        "      <td>  9.3</td>\n",
        "      <td>   769.1</td>\n",
        "      <td>   722.4</td>\n",
        "      <td> -46.7</td>\n",
        "      <td> 0.138292</td>\n",
        "      <td> 0.304481</td>\n",
        "      <td> 0.355199</td>\n",
        "      <td> 0.202028</td>\n",
        "      <td> 13.241926</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>251</th>\n",
        "      <td> 43340</td>\n",
        "      <td>            Shreveport-Bossier City, LA Metro Area</td>\n",
        "      <td>   76386</td>\n",
        "      <td>   94717</td>\n",
        "      <td>  171103</td>\n",
        "      <td> 0.446433</td>\n",
        "      <td> False</td>\n",
        "      <td>   375965</td>\n",
        "      <td>   398604</td>\n",
        "      <td>  6.0</td>\n",
        "      <td>  1711.8</td>\n",
        "      <td>  1566.4</td>\n",
        "      <td>-145.4</td>\n",
        "      <td> 0.123727</td>\n",
        "      <td> 0.330188</td>\n",
        "      <td> 0.311325</td>\n",
        "      <td> 0.234761</td>\n",
        "      <td> 13.314239</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>252</th>\n",
        "      <td> 43580</td>\n",
        "      <td>                   Sioux City, IA-NE-SD Metro Area</td>\n",
        "      <td>   28509</td>\n",
        "      <td>   31627</td>\n",
        "      <td>   60136</td>\n",
        "      <td> 0.474075</td>\n",
        "      <td> False</td>\n",
        "      <td>   143053</td>\n",
        "      <td>   143577</td>\n",
        "      <td>  0.4</td>\n",
        "      <td>  2218.8</td>\n",
        "      <td>  2105.7</td>\n",
        "      <td>-113.1</td>\n",
        "      <td> 0.139705</td>\n",
        "      <td> 0.300324</td>\n",
        "      <td> 0.335894</td>\n",
        "      <td> 0.224077</td>\n",
        "      <td> 13.288684</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>253</th>\n",
        "      <td> 43620</td>\n",
        "      <td>                        Sioux Falls, SD Metro Area</td>\n",
        "      <td>   44966</td>\n",
        "      <td>   58311</td>\n",
        "      <td>  103277</td>\n",
        "      <td> 0.435392</td>\n",
        "      <td> False</td>\n",
        "      <td>   187093</td>\n",
        "      <td>   228261</td>\n",
        "      <td> 22.0</td>\n",
        "      <td>  2247.0</td>\n",
        "      <td>  2215.0</td>\n",
        "      <td> -32.0</td>\n",
        "      <td> 0.066449</td>\n",
        "      <td> 0.281508</td>\n",
        "      <td> 0.331974</td>\n",
        "      <td> 0.320070</td>\n",
        "      <td> 13.811328</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>254</th>\n",
        "      <td> 43780</td>\n",
        "      <td>            South Bend-Mishawaka, IN-MI Metro Area</td>\n",
        "      <td>   66045</td>\n",
        "      <td>   65235</td>\n",
        "      <td>  131280</td>\n",
        "      <td> 0.503085</td>\n",
        "      <td>  True</td>\n",
        "      <td>   316663</td>\n",
        "      <td>   319224</td>\n",
        "      <td>  0.8</td>\n",
        "      <td>  2282.5</td>\n",
        "      <td>  2015.6</td>\n",
        "      <td>-266.9</td>\n",
        "      <td> 0.100903</td>\n",
        "      <td> 0.304990</td>\n",
        "      <td> 0.326217</td>\n",
        "      <td> 0.267890</td>\n",
        "      <td> 13.522189</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>255</th>\n",
        "      <td> 44060</td>\n",
        "      <td>                            Spokane, WA Metro Area</td>\n",
        "      <td>   91977</td>\n",
        "      <td>  104797</td>\n",
        "      <td>  196774</td>\n",
        "      <td> 0.467425</td>\n",
        "      <td> False</td>\n",
        "      <td>   417939</td>\n",
        "      <td>   471221</td>\n",
        "      <td> 12.7</td>\n",
        "      <td>  2936.4</td>\n",
        "      <td>  2861.7</td>\n",
        "      <td> -74.7</td>\n",
        "      <td> 0.058239</td>\n",
        "      <td> 0.237230</td>\n",
        "      <td> 0.407349</td>\n",
        "      <td> 0.297182</td>\n",
        "      <td> 13.886947</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>256</th>\n",
        "      <td> 44100</td>\n",
        "      <td>                        Springfield, IL Metro Area</td>\n",
        "      <td>   44056</td>\n",
        "      <td>   54075</td>\n",
        "      <td>   98131</td>\n",
        "      <td> 0.448951</td>\n",
        "      <td> False</td>\n",
        "      <td>   201437</td>\n",
        "      <td>   210170</td>\n",
        "      <td>  4.3</td>\n",
        "      <td>  1893.8</td>\n",
        "      <td>  1719.1</td>\n",
        "      <td>-174.7</td>\n",
        "      <td> 0.064312</td>\n",
        "      <td> 0.264218</td>\n",
        "      <td> 0.334113</td>\n",
        "      <td> 0.337357</td>\n",
        "      <td> 13.889029</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>257</th>\n",
        "      <td> 44180</td>\n",
        "      <td>                        Springfield, MO Metro Area</td>\n",
        "      <td>   66048</td>\n",
        "      <td>  129197</td>\n",
        "      <td>  195245</td>\n",
        "      <td> 0.338283</td>\n",
        "      <td> False</td>\n",
        "      <td>   368374</td>\n",
        "      <td>   436712</td>\n",
        "      <td> 18.6</td>\n",
        "      <td>  1489.9</td>\n",
        "      <td>  1434.4</td>\n",
        "      <td> -55.5</td>\n",
        "      <td> 0.092728</td>\n",
        "      <td> 0.286218</td>\n",
        "      <td> 0.348960</td>\n",
        "      <td> 0.272094</td>\n",
        "      <td> 13.600839</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>258</th>\n",
        "      <td> 44220</td>\n",
        "      <td>                        Springfield, OH Metro Area</td>\n",
        "      <td>   30022</td>\n",
        "      <td>   31116</td>\n",
        "      <td>   61138</td>\n",
        "      <td> 0.491053</td>\n",
        "      <td> False</td>\n",
        "      <td>   144742</td>\n",
        "      <td>   138333</td>\n",
        "      <td> -4.4</td>\n",
        "      <td>  2146.3</td>\n",
        "      <td>  1928.1</td>\n",
        "      <td>-218.2</td>\n",
        "      <td> 0.118426</td>\n",
        "      <td> 0.361748</td>\n",
        "      <td> 0.332993</td>\n",
        "      <td> 0.186832</td>\n",
        "      <td> 13.176462</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>259</th>\n",
        "      <td> 44300</td>\n",
        "      <td>                      State College, PA Metro Area</td>\n",
        "      <td>   33677</td>\n",
        "      <td>   33697</td>\n",
        "      <td>   67374</td>\n",
        "      <td> 0.499852</td>\n",
        "      <td> False</td>\n",
        "      <td>   135758</td>\n",
        "      <td>   153990</td>\n",
        "      <td> 13.4</td>\n",
        "      <td>  4106.6</td>\n",
        "      <td>  4366.2</td>\n",
        "      <td> 259.6</td>\n",
        "      <td> 0.054689</td>\n",
        "      <td> 0.298789</td>\n",
        "      <td> 0.217584</td>\n",
        "      <td> 0.428938</td>\n",
        "      <td> 14.041541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>260</th>\n",
        "      <td> 44600</td>\n",
        "      <td>            Steubenville-Weirton, OH-WV Metro Area</td>\n",
        "      <td>   23515</td>\n",
        "      <td>   28902</td>\n",
        "      <td>   52417</td>\n",
        "      <td> 0.448614</td>\n",
        "      <td> False</td>\n",
        "      <td>   132008</td>\n",
        "      <td>   124454</td>\n",
        "      <td> -5.7</td>\n",
        "      <td>  1108.4</td>\n",
        "      <td>  1008.5</td>\n",
        "      <td> -99.9</td>\n",
        "      <td> 0.075449</td>\n",
        "      <td> 0.412243</td>\n",
        "      <td> 0.331172</td>\n",
        "      <td> 0.181136</td>\n",
        "      <td> 13.235990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>261</th>\n",
        "      <td> 44700</td>\n",
        "      <td>                           Stockton, CA Metro Area</td>\n",
        "      <td>   80005</td>\n",
        "      <td>   66742</td>\n",
        "      <td>  146747</td>\n",
        "      <td> 0.545190</td>\n",
        "      <td>  True</td>\n",
        "      <td>   563598</td>\n",
        "      <td>   685306</td>\n",
        "      <td> 21.6</td>\n",
        "      <td>  5197.5</td>\n",
        "      <td>  4889.1</td>\n",
        "      <td>-308.4</td>\n",
        "      <td> 0.215298</td>\n",
        "      <td> 0.256879</td>\n",
        "      <td> 0.342062</td>\n",
        "      <td> 0.185761</td>\n",
        "      <td> 12.996574</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>262</th>\n",
        "      <td> 45060</td>\n",
        "      <td>                           Syracuse, NY Metro Area</td>\n",
        "      <td>  147095</td>\n",
        "      <td>  103921</td>\n",
        "      <td>  251016</td>\n",
        "      <td> 0.585999</td>\n",
        "      <td>  True</td>\n",
        "      <td>   650154</td>\n",
        "      <td>   662577</td>\n",
        "      <td>  1.9</td>\n",
        "      <td>  2762.7</td>\n",
        "      <td>  2749.3</td>\n",
        "      <td> -13.4</td>\n",
        "      <td> 0.087819</td>\n",
        "      <td> 0.285791</td>\n",
        "      <td> 0.313984</td>\n",
        "      <td> 0.312406</td>\n",
        "      <td> 13.701954</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>263</th>\n",
        "      <td> 45460</td>\n",
        "      <td>                        Terre Haute, IN Metro Area</td>\n",
        "      <td>   29507</td>\n",
        "      <td>   34761</td>\n",
        "      <td>   64268</td>\n",
        "      <td> 0.459124</td>\n",
        "      <td> False</td>\n",
        "      <td>   170943</td>\n",
        "      <td>   172425</td>\n",
        "      <td>  0.9</td>\n",
        "      <td>  1245.1</td>\n",
        "      <td>  1173.5</td>\n",
        "      <td> -71.6</td>\n",
        "      <td> 0.119093</td>\n",
        "      <td> 0.359676</td>\n",
        "      <td> 0.324554</td>\n",
        "      <td> 0.196677</td>\n",
        "      <td> 13.197629</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>264</th>\n",
        "      <td> 45500</td>\n",
        "      <td>            Texarkana, TX-Texarkana, AR Metro Area</td>\n",
        "      <td>   14702</td>\n",
        "      <td>   35462</td>\n",
        "      <td>   50164</td>\n",
        "      <td> 0.293079</td>\n",
        "      <td> False</td>\n",
        "      <td>   129749</td>\n",
        "      <td>   136027</td>\n",
        "      <td>  4.8</td>\n",
        "      <td>   946.9</td>\n",
        "      <td>   921.6</td>\n",
        "      <td> -25.3</td>\n",
        "      <td> 0.113483</td>\n",
        "      <td> 0.374862</td>\n",
        "      <td> 0.338048</td>\n",
        "      <td> 0.173607</td>\n",
        "      <td> 13.143559</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>265</th>\n",
        "      <td> 45780</td>\n",
        "      <td>                             Toledo, OH Metro Area</td>\n",
        "      <td>  180829</td>\n",
        "      <td>  118941</td>\n",
        "      <td>  299770</td>\n",
        "      <td> 0.603226</td>\n",
        "      <td>  True</td>\n",
        "      <td>   659188</td>\n",
        "      <td>   651429</td>\n",
        "      <td> -1.2</td>\n",
        "      <td>  3099.2</td>\n",
        "      <td>  2701.9</td>\n",
        "      <td>-397.3</td>\n",
        "      <td> 0.087293</td>\n",
        "      <td> 0.305602</td>\n",
        "      <td> 0.352926</td>\n",
        "      <td> 0.254178</td>\n",
        "      <td> 13.547980</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>266</th>\n",
        "      <td> 45820</td>\n",
        "      <td>                             Topeka, KS Metro Area</td>\n",
        "      <td>   43848</td>\n",
        "      <td>   51915</td>\n",
        "      <td>   95763</td>\n",
        "      <td> 0.457880</td>\n",
        "      <td> False</td>\n",
        "      <td>   224551</td>\n",
        "      <td>   233870</td>\n",
        "      <td>  4.2</td>\n",
        "      <td>  1672.3</td>\n",
        "      <td>  1595.3</td>\n",
        "      <td> -76.9</td>\n",
        "      <td> 0.078944</td>\n",
        "      <td> 0.310521</td>\n",
        "      <td> 0.324263</td>\n",
        "      <td> 0.286272</td>\n",
        "      <td> 13.635725</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>267</th>\n",
        "      <td> 45940</td>\n",
        "      <td>                      Trenton-Ewing, NJ Metro Area</td>\n",
        "      <td>   94300</td>\n",
        "      <td>   43155</td>\n",
        "      <td>  137455</td>\n",
        "      <td> 0.686043</td>\n",
        "      <td>  True</td>\n",
        "      <td>   350761</td>\n",
        "      <td>   366513</td>\n",
        "      <td>  4.5</td>\n",
        "      <td>  5783.5</td>\n",
        "      <td>  5864.6</td>\n",
        "      <td>  81.1</td>\n",
        "      <td> 0.106446</td>\n",
        "      <td> 0.254337</td>\n",
        "      <td> 0.234204</td>\n",
        "      <td> 0.405013</td>\n",
        "      <td> 13.875569</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>268</th>\n",
        "      <td> 46060</td>\n",
        "      <td>                             Tucson, AZ Metro Area</td>\n",
        "      <td>  183470</td>\n",
        "      <td>  162927</td>\n",
        "      <td>  346397</td>\n",
        "      <td> 0.529652</td>\n",
        "      <td>  True</td>\n",
        "      <td>   843746</td>\n",
        "      <td>   980263</td>\n",
        "      <td> 16.2</td>\n",
        "      <td>  3416.7</td>\n",
        "      <td>  3213.0</td>\n",
        "      <td>-203.6</td>\n",
        "      <td> 0.119172</td>\n",
        "      <td> 0.219541</td>\n",
        "      <td> 0.369899</td>\n",
        "      <td> 0.291388</td>\n",
        "      <td> 13.667007</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>269</th>\n",
        "      <td> 46140</td>\n",
        "      <td>                              Tulsa, OK Metro Area</td>\n",
        "      <td>  120590</td>\n",
        "      <td>  235409</td>\n",
        "      <td>  355999</td>\n",
        "      <td> 0.338737</td>\n",
        "      <td> False</td>\n",
        "      <td>   859532</td>\n",
        "      <td>   937478</td>\n",
        "      <td>  9.1</td>\n",
        "      <td>  2053.7</td>\n",
        "      <td>  1980.2</td>\n",
        "      <td> -73.5</td>\n",
        "      <td> 0.103006</td>\n",
        "      <td> 0.284723</td>\n",
        "      <td> 0.341287</td>\n",
        "      <td> 0.270984</td>\n",
        "      <td> 13.560500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>270</th>\n",
        "      <td> 46220</td>\n",
        "      <td>                         Tuscaloosa, AL Metro Area</td>\n",
        "      <td>   41918</td>\n",
        "      <td>   49707</td>\n",
        "      <td>   91625</td>\n",
        "      <td> 0.457495</td>\n",
        "      <td> False</td>\n",
        "      <td>   192034</td>\n",
        "      <td>   219461</td>\n",
        "      <td> 14.3</td>\n",
        "      <td>  1213.7</td>\n",
        "      <td>  1308.2</td>\n",
        "      <td>  94.5</td>\n",
        "      <td> 0.123826</td>\n",
        "      <td> 0.306443</td>\n",
        "      <td> 0.301100</td>\n",
        "      <td> 0.268630</td>\n",
        "      <td> 13.429071</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>271</th>\n",
        "      <td> 46340</td>\n",
        "      <td>                              Tyler, TX Metro Area</td>\n",
        "      <td>   22101</td>\n",
        "      <td>   61858</td>\n",
        "      <td>   83959</td>\n",
        "      <td> 0.263236</td>\n",
        "      <td> False</td>\n",
        "      <td>   174706</td>\n",
        "      <td>   209714</td>\n",
        "      <td> 20.0</td>\n",
        "      <td>  1206.5</td>\n",
        "      <td>  1167.0</td>\n",
        "      <td> -39.5</td>\n",
        "      <td> 0.144735</td>\n",
        "      <td> 0.250043</td>\n",
        "      <td> 0.355179</td>\n",
        "      <td> 0.250043</td>\n",
        "      <td> 13.421062</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>272</th>\n",
        "      <td> 46540</td>\n",
        "      <td>                         Utica-Rome, NY Metro Area</td>\n",
        "      <td>   47821</td>\n",
        "      <td>   54028</td>\n",
        "      <td>  101849</td>\n",
        "      <td> 0.469528</td>\n",
        "      <td> False</td>\n",
        "      <td>   299896</td>\n",
        "      <td>   299397</td>\n",
        "      <td> -0.2</td>\n",
        "      <td>  2080.8</td>\n",
        "      <td>  2186.4</td>\n",
        "      <td> 105.5</td>\n",
        "      <td> 0.101976</td>\n",
        "      <td> 0.302545</td>\n",
        "      <td> 0.347535</td>\n",
        "      <td> 0.247944</td>\n",
        "      <td> 13.482891</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>273</th>\n",
        "      <td> 46700</td>\n",
        "      <td>                  Vallejo-Fairfield, CA Metro Area</td>\n",
        "      <td>   87225</td>\n",
        "      <td>   48364</td>\n",
        "      <td>  135589</td>\n",
        "      <td> 0.643304</td>\n",
        "      <td>  True</td>\n",
        "      <td>   394542</td>\n",
        "      <td>   413344</td>\n",
        "      <td>  4.8</td>\n",
        "      <td>  4883.4</td>\n",
        "      <td>  4502.1</td>\n",
        "      <td>-381.4</td>\n",
        "      <td> 0.118616</td>\n",
        "      <td> 0.240918</td>\n",
        "      <td> 0.400078</td>\n",
        "      <td> 0.240388</td>\n",
        "      <td> 13.524476</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>274</th>\n",
        "      <td> 47020</td>\n",
        "      <td>                           Victoria, TX Metro Area</td>\n",
        "      <td>   12432</td>\n",
        "      <td>   26123</td>\n",
        "      <td>   38555</td>\n",
        "      <td> 0.322448</td>\n",
        "      <td> False</td>\n",
        "      <td>   111663</td>\n",
        "      <td>   115384</td>\n",
        "      <td>  3.3</td>\n",
        "      <td>  1685.8</td>\n",
        "      <td>  1729.1</td>\n",
        "      <td>  43.3</td>\n",
        "      <td> 0.174667</td>\n",
        "      <td> 0.307767</td>\n",
        "      <td> 0.361347</td>\n",
        "      <td> 0.156219</td>\n",
        "      <td> 12.998236</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>275</th>\n",
        "      <td> 47220</td>\n",
        "      <td>       Vineland-Millville-Bridgeton, NJ Metro Area</td>\n",
        "      <td>   30172</td>\n",
        "      <td>   18767</td>\n",
        "      <td>   48939</td>\n",
        "      <td> 0.616523</td>\n",
        "      <td>  True</td>\n",
        "      <td>   146438</td>\n",
        "      <td>   156898</td>\n",
        "      <td>  7.1</td>\n",
        "      <td>  2181.9</td>\n",
        "      <td>  2523.6</td>\n",
        "      <td> 341.7</td>\n",
        "      <td> 0.205449</td>\n",
        "      <td> 0.394213</td>\n",
        "      <td> 0.252037</td>\n",
        "      <td> 0.148301</td>\n",
        "      <td> 12.686382</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>276</th>\n",
        "      <td> 47260</td>\n",
        "      <td> Virginia Beach-Norfolk-Newport News, VA-NC Met...</td>\n",
        "      <td>  421746</td>\n",
        "      <td>  338446</td>\n",
        "      <td>  760192</td>\n",
        "      <td> 0.554789</td>\n",
        "      <td>  True</td>\n",
        "      <td>  1576370</td>\n",
        "      <td>  1671683</td>\n",
        "      <td>  6.0</td>\n",
        "      <td>  3589.3</td>\n",
        "      <td>  4084.1</td>\n",
        "      <td> 494.8</td>\n",
        "      <td> 0.083585</td>\n",
        "      <td> 0.250979</td>\n",
        "      <td> 0.369294</td>\n",
        "      <td> 0.296141</td>\n",
        "      <td> 13.755982</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>277</th>\n",
        "      <td> 47300</td>\n",
        "      <td>                Visalia-Porterville, CA Metro Area</td>\n",
        "      <td>   29191</td>\n",
        "      <td>   42186</td>\n",
        "      <td>   71377</td>\n",
        "      <td> 0.408969</td>\n",
        "      <td> False</td>\n",
        "      <td>   368021</td>\n",
        "      <td>   442179</td>\n",
        "      <td> 20.2</td>\n",
        "      <td>  2708.7</td>\n",
        "      <td>  2804.1</td>\n",
        "      <td>  95.4</td>\n",
        "      <td> 0.311333</td>\n",
        "      <td> 0.241616</td>\n",
        "      <td> 0.312089</td>\n",
        "      <td> 0.134962</td>\n",
        "      <td> 12.541358</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>278</th>\n",
        "      <td> 47380</td>\n",
        "      <td>                               Waco, TX Metro Area</td>\n",
        "      <td>   25688</td>\n",
        "      <td>   47885</td>\n",
        "      <td>   73573</td>\n",
        "      <td> 0.349150</td>\n",
        "      <td> False</td>\n",
        "      <td>   213517</td>\n",
        "      <td>   234906</td>\n",
        "      <td> 10.0</td>\n",
        "      <td>  1891.2</td>\n",
        "      <td>  1743.0</td>\n",
        "      <td>-148.2</td>\n",
        "      <td> 0.163835</td>\n",
        "      <td> 0.266548</td>\n",
        "      <td> 0.340790</td>\n",
        "      <td> 0.228827</td>\n",
        "      <td> 13.269220</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>279</th>\n",
        "      <td> 47900</td>\n",
        "      <td> Washington-Arlington-Alexandria, DC-VA-MD-WV M...</td>\n",
        "      <td> 1415293</td>\n",
        "      <td>  751878</td>\n",
        "      <td> 2167171</td>\n",
        "      <td> 0.653060</td>\n",
        "      <td>  True</td>\n",
        "      <td>  4796183</td>\n",
        "      <td>  5582170</td>\n",
        "      <td> 16.4</td>\n",
        "      <td>  6251.8</td>\n",
        "      <td>  6388.1</td>\n",
        "      <td> 136.3</td>\n",
        "      <td> 0.089853</td>\n",
        "      <td> 0.183638</td>\n",
        "      <td> 0.235093</td>\n",
        "      <td> 0.491416</td>\n",
        "      <td> 14.256147</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>280</th>\n",
        "      <td> 47940</td>\n",
        "      <td>               Waterloo-Cedar Falls, IA Metro Area</td>\n",
        "      <td>   48663</td>\n",
        "      <td>   36666</td>\n",
        "      <td>   85329</td>\n",
        "      <td> 0.570298</td>\n",
        "      <td>  True</td>\n",
        "      <td>   163706</td>\n",
        "      <td>   167819</td>\n",
        "      <td>  2.5</td>\n",
        "      <td>  2038.2</td>\n",
        "      <td>  1947.3</td>\n",
        "      <td> -90.8</td>\n",
        "      <td> 0.082703</td>\n",
        "      <td> 0.304255</td>\n",
        "      <td> 0.327199</td>\n",
        "      <td> 0.285842</td>\n",
        "      <td> 13.632359</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>281</th>\n",
        "      <td> 48140</td>\n",
        "      <td>                             Wausau, WI Metro Area</td>\n",
        "      <td>   32330</td>\n",
        "      <td>   36568</td>\n",
        "      <td>   68898</td>\n",
        "      <td> 0.469244</td>\n",
        "      <td> False</td>\n",
        "      <td>   125834</td>\n",
        "      <td>   134063</td>\n",
        "      <td>  6.5</td>\n",
        "      <td>  1007.9</td>\n",
        "      <td>   912.3</td>\n",
        "      <td> -95.6</td>\n",
        "      <td> 0.065375</td>\n",
        "      <td> 0.367574</td>\n",
        "      <td> 0.329139</td>\n",
        "      <td> 0.237912</td>\n",
        "      <td> 13.479177</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>282</th>\n",
        "      <td> 48300</td>\n",
        "      <td>           Wenatchee-East Wenatchee, WA Metro Area</td>\n",
        "      <td>   17566</td>\n",
        "      <td>   27028</td>\n",
        "      <td>   44594</td>\n",
        "      <td> 0.393909</td>\n",
        "      <td> False</td>\n",
        "      <td>    99219</td>\n",
        "      <td>   110884</td>\n",
        "      <td> 11.8</td>\n",
        "      <td>  1365.5</td>\n",
        "      <td>  1520.2</td>\n",
        "      <td> 154.7</td>\n",
        "      <td> 0.186815</td>\n",
        "      <td> 0.277684</td>\n",
        "      <td> 0.332528</td>\n",
        "      <td> 0.202972</td>\n",
        "      <td> 13.103315</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>283</th>\n",
        "      <td> 48540</td>\n",
        "      <td>                        Wheeling, WV-OH Metro Area</td>\n",
        "      <td>   23844</td>\n",
        "      <td>   33203</td>\n",
        "      <td>   57047</td>\n",
        "      <td> 0.417971</td>\n",
        "      <td> False</td>\n",
        "      <td>   153172</td>\n",
        "      <td>   147950</td>\n",
        "      <td> -3.4</td>\n",
        "      <td>   978.5</td>\n",
        "      <td>   842.0</td>\n",
        "      <td>-136.5</td>\n",
        "      <td> 0.086261</td>\n",
        "      <td> 0.385651</td>\n",
        "      <td> 0.322839</td>\n",
        "      <td> 0.205248</td>\n",
        "      <td> 13.294149</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>284</th>\n",
        "      <td> 48620</td>\n",
        "      <td>                            Wichita, KS Metro Area</td>\n",
        "      <td>   84276</td>\n",
        "      <td>  136689</td>\n",
        "      <td>  220965</td>\n",
        "      <td> 0.381400</td>\n",
        "      <td> False</td>\n",
        "      <td>   571166</td>\n",
        "      <td>   623061</td>\n",
        "      <td>  9.1</td>\n",
        "      <td>  2368.7</td>\n",
        "      <td>  2265.6</td>\n",
        "      <td>-103.1</td>\n",
        "      <td> 0.099484</td>\n",
        "      <td> 0.257094</td>\n",
        "      <td> 0.348598</td>\n",
        "      <td> 0.294824</td>\n",
        "      <td> 13.677524</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>285</th>\n",
        "      <td> 48660</td>\n",
        "      <td>                      Wichita Falls, TX Metro Area</td>\n",
        "      <td>   11755</td>\n",
        "      <td>   37621</td>\n",
        "      <td>   49376</td>\n",
        "      <td> 0.238071</td>\n",
        "      <td> False</td>\n",
        "      <td>   151524</td>\n",
        "      <td>   151306</td>\n",
        "      <td> -0.1</td>\n",
        "      <td>  1592.3</td>\n",
        "      <td>  1526.2</td>\n",
        "      <td> -66.0</td>\n",
        "      <td> 0.133156</td>\n",
        "      <td> 0.326593</td>\n",
        "      <td> 0.338620</td>\n",
        "      <td> 0.201631</td>\n",
        "      <td> 13.217452</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>286</th>\n",
        "      <td> 48700</td>\n",
        "      <td>                       Williamsport, PA Metro Area</td>\n",
        "      <td>   15104</td>\n",
        "      <td>   30490</td>\n",
        "      <td>   45594</td>\n",
        "      <td> 0.331272</td>\n",
        "      <td> False</td>\n",
        "      <td>   120044</td>\n",
        "      <td>   116111</td>\n",
        "      <td> -3.3</td>\n",
        "      <td>  1864.8</td>\n",
        "      <td>  1747.5</td>\n",
        "      <td>-117.3</td>\n",
        "      <td> 0.096242</td>\n",
        "      <td> 0.412864</td>\n",
        "      <td> 0.285823</td>\n",
        "      <td> 0.205071</td>\n",
        "      <td> 13.199446</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>287</th>\n",
        "      <td> 48900</td>\n",
        "      <td>                         Wilmington, NC Metro Area</td>\n",
        "      <td>   79425</td>\n",
        "      <td>  101747</td>\n",
        "      <td>  181172</td>\n",
        "      <td> 0.438396</td>\n",
        "      <td> False</td>\n",
        "      <td>   274532</td>\n",
        "      <td>   362315</td>\n",
        "      <td> 32.0</td>\n",
        "      <td>  1073.7</td>\n",
        "      <td>  1232.1</td>\n",
        "      <td> 158.4</td>\n",
        "      <td> 0.103960</td>\n",
        "      <td> 0.239871</td>\n",
        "      <td> 0.342155</td>\n",
        "      <td> 0.314014</td>\n",
        "      <td> 13.732445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>288</th>\n",
        "      <td> 49020</td>\n",
        "      <td>                      Winchester, VA-WV Metro Area</td>\n",
        "      <td>   20066</td>\n",
        "      <td>   33308</td>\n",
        "      <td>   53374</td>\n",
        "      <td> 0.375951</td>\n",
        "      <td> False</td>\n",
        "      <td>   102997</td>\n",
        "      <td>   128472</td>\n",
        "      <td> 24.7</td>\n",
        "      <td>  1030.1</td>\n",
        "      <td>  1165.0</td>\n",
        "      <td> 134.9</td>\n",
        "      <td> 0.127309</td>\n",
        "      <td> 0.339114</td>\n",
        "      <td> 0.267346</td>\n",
        "      <td> 0.266231</td>\n",
        "      <td> 13.345000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>289</th>\n",
        "      <td> 49180</td>\n",
        "      <td>                      Winston-Salem, NC Metro Area</td>\n",
        "      <td>  107155</td>\n",
        "      <td>  121387</td>\n",
        "      <td>  228542</td>\n",
        "      <td> 0.468863</td>\n",
        "      <td> False</td>\n",
        "      <td>   421961</td>\n",
        "      <td>   477717</td>\n",
        "      <td> 13.2</td>\n",
        "      <td>  1134.4</td>\n",
        "      <td>  1202.6</td>\n",
        "      <td>  68.2</td>\n",
        "      <td> 0.126417</td>\n",
        "      <td> 0.279334</td>\n",
        "      <td> 0.301605</td>\n",
        "      <td> 0.292643</td>\n",
        "      <td> 13.520950</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>290</th>\n",
        "      <td> 49420</td>\n",
        "      <td>                             Yakima, WA Metro Area</td>\n",
        "      <td>   25945</td>\n",
        "      <td>   35381</td>\n",
        "      <td>   61326</td>\n",
        "      <td> 0.423067</td>\n",
        "      <td> False</td>\n",
        "      <td>   222581</td>\n",
        "      <td>   243231</td>\n",
        "      <td>  9.3</td>\n",
        "      <td>  2265.5</td>\n",
        "      <td>  2377.1</td>\n",
        "      <td> 111.5</td>\n",
        "      <td> 0.283835</td>\n",
        "      <td> 0.260865</td>\n",
        "      <td> 0.298772</td>\n",
        "      <td> 0.156527</td>\n",
        "      <td> 12.655983</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>291</th>\n",
        "      <td> 49620</td>\n",
        "      <td>                       York-Hanover, PA Metro Area</td>\n",
        "      <td>   72126</td>\n",
        "      <td>  111576</td>\n",
        "      <td>  183702</td>\n",
        "      <td> 0.392625</td>\n",
        "      <td> False</td>\n",
        "      <td>   381751</td>\n",
        "      <td>   434972</td>\n",
        "      <td> 13.9</td>\n",
        "      <td>  2244.0</td>\n",
        "      <td>  2306.4</td>\n",
        "      <td>  62.4</td>\n",
        "      <td> 0.084914</td>\n",
        "      <td> 0.407527</td>\n",
        "      <td> 0.265592</td>\n",
        "      <td> 0.241967</td>\n",
        "      <td> 13.329223</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>292</th>\n",
        "      <td> 49660</td>\n",
        "      <td>      Youngstown-Warren-Boardman, OH-PA Metro Area</td>\n",
        "      <td>  156826</td>\n",
        "      <td>  103551</td>\n",
        "      <td>  260377</td>\n",
        "      <td> 0.602304</td>\n",
        "      <td>  True</td>\n",
        "      <td>   602964</td>\n",
        "      <td>   565773</td>\n",
        "      <td> -6.2</td>\n",
        "      <td>  1841.7</td>\n",
        "      <td>  1569.8</td>\n",
        "      <td>-271.9</td>\n",
        "      <td> 0.083712</td>\n",
        "      <td> 0.400838</td>\n",
        "      <td> 0.299440</td>\n",
        "      <td> 0.216009</td>\n",
        "      <td> 13.295492</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>293</th>\n",
        "      <td> 49700</td>\n",
        "      <td>                          Yuba City, CA Metro Area</td>\n",
        "      <td>   13821</td>\n",
        "      <td>   21322</td>\n",
        "      <td>   35143</td>\n",
        "      <td> 0.393279</td>\n",
        "      <td> False</td>\n",
        "      <td>   139149</td>\n",
        "      <td>   166892</td>\n",
        "      <td> 19.9</td>\n",
        "      <td>  2073.0</td>\n",
        "      <td>  2206.1</td>\n",
        "      <td> 133.1</td>\n",
        "      <td> 0.204681</td>\n",
        "      <td> 0.236241</td>\n",
        "      <td> 0.395122</td>\n",
        "      <td> 0.163956</td>\n",
        "      <td> 13.036707</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>294</th>\n",
        "      <td> 49740</td>\n",
        "      <td>                               Yuma, AZ Metro Area</td>\n",
        "      <td>   14025</td>\n",
        "      <td>   19500</td>\n",
        "      <td>   33525</td>\n",
        "      <td> 0.418345</td>\n",
        "      <td> False</td>\n",
        "      <td>   160026</td>\n",
        "      <td>   195751</td>\n",
        "      <td> 22.3</td>\n",
        "      <td>  2982.2</td>\n",
        "      <td>  2836.3</td>\n",
        "      <td>-145.9</td>\n",
        "      <td> 0.261426</td>\n",
        "      <td> 0.224209</td>\n",
        "      <td> 0.360208</td>\n",
        "      <td> 0.154157</td>\n",
        "      <td> 12.814191</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 68,
       "text": [
        "     MSA_NUM                                           MSA_NAME  OBAMA_NUM  \\\n",
        "0      10180                             Abilene, TX Metro Area      11701   \n",
        "1      10420                               Akron, OH Metro Area     185228   \n",
        "2      10580             Albany-Schenectady-Troy, NY Metro Area     203119   \n",
        "3      10740                         Albuquerque, NM Metro Area     189901   \n",
        "4      10780                          Alexandria, LA Metro Area      21461   \n",
        "5      10900       Allentown-Bethlehem-Easton, PA-NJ Metro Area     170952   \n",
        "6      11020                             Altoona, PA Metro Area      15516   \n",
        "7      11100                            Amarillo, TX Metro Area      15057   \n",
        "8      11180                                Ames, IA Metro Area      25940   \n",
        "9      11300                            Anderson, IN Metro Area      24404   \n",
        "10     11460                           Ann Arbor, MI Metro Area     120791   \n",
        "11     11500                     Anniston-Oxford, AL Metro Area      15500   \n",
        "12     11540                            Appleton, WI Metro Area      57042   \n",
        "13     11700                           Asheville, NC Metro Area     104793   \n",
        "14     12100             Atlantic City-Hammonton, NJ Metro Area      59509   \n",
        "15     12220                      Auburn-Opelika, AL Metro Area      21274   \n",
        "16     12420        Austin-Round Rock-San Marcos, TX Metro Area     333447   \n",
        "17     12540                  Bakersfield-Delano, CA Metro Area      64690   \n",
        "18     12580                    Baltimore-Towson, MD Metro Area     684107   \n",
        "19     12940                         Baton Rouge, LA Metro Area     158249   \n",
        "20     12980                        Battle Creek, MI Metro Area      29270   \n",
        "21     13020                            Bay City, MI Metro Area      26797   \n",
        "22     13140                Beaumont-Port Arthur, TX Metro Area      54781   \n",
        "23     13380                          Bellingham, WA Metro Area      49743   \n",
        "24     13460                                Bend, OR Metro Area      34985   \n",
        "25     13740                            Billings, MT Metro Area      28401   \n",
        "26     13780                          Binghamton, NY Metro Area      46578   \n",
        "27     13820                   Birmingham-Hoover, AL Metro Area     200495   \n",
        "28     13900                            Bismarck, ND Metro Area      18503   \n",
        "29     13980   Blacksburg-Christiansburg-Radford, VA Metro Area      30652   \n",
        "30     14020                         Bloomington, IN Metro Area      30048   \n",
        "31     14060                  Bloomington-Normal, IL Metro Area      31590   \n",
        "32     14260                    Boise City-Nampa, ID Metro Area     100652   \n",
        "33     14540                       Bowling Green, KY Metro Area      18179   \n",
        "34     14740                Bremerton-Silverdale, WA Metro Area      59701   \n",
        "35     15180               Brownsville-Harlingen, TX Metro Area      49159   \n",
        "36     15380               Buffalo-Niagara Falls, NY Metro Area     261046   \n",
        "37     15500                          Burlington, NC Metro Area      28341   \n",
        "38     15940                    Canton-Massillon, OH Metro Area      91710   \n",
        "39     16020           Cape Girardeau-Jackson, MO-IL Metro Area      12887   \n",
        "40     16180                         Carson City, NV Metro Area      10290   \n",
        "41     16300                        Cedar Rapids, IA Metro Area      80392   \n",
        "42     16580                    Champaign-Urbana, IL Metro Area      45113   \n",
        "43     16620                          Charleston, WV Metro Area      45291   \n",
        "44     16740     Charlotte-Gastonia-Rock Hill, NC-SC Metro Area     374987   \n",
        "45     16820                     Charlottesville, VA Metro Area      59319   \n",
        "46     16860                      Chattanooga, TN-GA Metro Area      64234   \n",
        "47     16980     Chicago-Joliet-Naperville, IL-IN-WI Metro Area    2337624   \n",
        "48     17020                               Chico, CA Metro Area      32567   \n",
        "49     17140         Cincinnati-Middletown, OH-KY-IN Metro Area     409059   \n",
        "50     17300                      Clarksville, TN-KY Metro Area      36785   \n",
        "51     17420                           Cleveland, TN Metro Area       9891   \n",
        "52     17460             Cleveland-Elyria-Mentor, OH Metro Area     611420   \n",
        "53     17660                       Coeur d'Alene, ID Metro Area      18824   \n",
        "54     17780               College Station-Bryan, TX Metro Area      21937   \n",
        "55     17860                            Columbia, MO Metro Area      41504   \n",
        "56     17980                         Columbus, GA-AL Metro Area      10495   \n",
        "57     18020                            Columbus, IN Metro Area      10622   \n",
        "58     18140                            Columbus, OH Metro Area     453241   \n",
        "59     18580                      Corpus Christi, TX Metro Area      56223   \n",
        "60     18700                           Corvallis, OR Metro Area      27662   \n",
        "61     19060                       Cumberland, MD-WV Metro Area      11837   \n",
        "62     19100         Dallas-Fort Worth-Arlington, TX Metro Area     896612   \n",
        "63     19180                            Danville, IL Metro Area      10773   \n",
        "64     19260                            Danville, VA Metro Area      23070   \n",
        "65     19340     Davenport-Moline-Rock Island, IA-IL Metro Area     106481   \n",
        "66     19380                              Dayton, OH Metro Area     181747   \n",
        "67     19460                             Decatur, AL Metro Area      18456   \n",
        "68     19500                             Decatur, IL Metro Area      22688   \n",
        "69     19780          Des Moines-West Des Moines, IA Metro Area     163324   \n",
        "70     19820              Detroit-Warren-Livonia, MI Metro Area    1242117   \n",
        "71     20020                              Dothan, AL Metro Area      17433   \n",
        "72     20100                               Dover, DE Metro Area      35525   \n",
        "73     20220                             Dubuque, IA Metro Area      28600   \n",
        "74     20260                           Duluth, MN-WI Metro Area     100421   \n",
        "75     20500                  Durham-Chapel Hill, NC Metro Area     189225   \n",
        "76     20740                          Eau Claire, WI Metro Area      45829   \n",
        "77     20940                           El Centro, CA Metro Area      17464   \n",
        "78     21060                       Elizabethtown, KY Metro Area      16947   \n",
        "79     21140                      Elkhart-Goshen, IN Metro Area      24376   \n",
        "80     21300                              Elmira, NY Metro Area      15285   \n",
        "81     21340                             El Paso, TX Metro Area     112273   \n",
        "82     21500                                Erie, PA Metro Area      65136   \n",
        "83     21660                  Eugene-Springfield, OR Metro Area      99891   \n",
        "84     21780                       Evansville, IN-KY Metro Area      59765   \n",
        "85     22020                            Fargo, ND-MN Metro Area      49842   \n",
        "86     22140                          Farmington, NM Metro Area      15688   \n",
        "87     22180                        Fayetteville, NC Metro Area      84906   \n",
        "88     22220   Fayetteville-Springdale-Rogers, AR-MO Metro Area      54299   \n",
        "89     22380                           Flagstaff, AZ Metro Area      26316   \n",
        "90     22420                               Flint, MI Metro Area     128972   \n",
        "91     22520              Florence-Muscle Shoals, AL Metro Area      21664   \n",
        "92     22540                         Fond du Lac, WI Metro Area      22356   \n",
        "93     22900                       Fort Smith, AR-OK Metro Area      28531   \n",
        "94     23060                          Fort Wayne, IN Metro Area      67688   \n",
        "95     23420                              Fresno, CA Metro Area      85862   \n",
        "96     23460                             Gadsden, AL Metro Area      12792   \n",
        "97     24020                         Glens Falls, NY Metro Area      23708   \n",
        "98     24140                           Goldsboro, NC Metro Area      23154   \n",
        "99     24220                      Grand Forks, ND-MN Metro Area      20781   \n",
        "100    24340                Grand Rapids-Wyoming, MI Metro Area     165795   \n",
        "101    24500                         Great Falls, MT Metro Area      14949   \n",
        "102    24580                           Green Bay, WI Metro Area      76394   \n",
        "103    24660               Greensboro-High Point, NC Metro Area     176328   \n",
        "104    24780                          Greenville, NC Metro Area      44462   \n",
        "105    25060                     Gulfport-Biloxi, MS Metro Area      27915   \n",
        "106    25180           Hagerstown-Martinsburg, MD-WV Metro Area      39765   \n",
        "107    25260                    Hanford-Corcoran, CA Metro Area      12282   \n",
        "108    25420                 Harrisburg-Carlisle, PA Metro Area     113622   \n",
        "109    25500                        Harrisonburg, VA Metro Area      18709   \n",
        "110    25620                         Hattiesburg, MS Metro Area      18635   \n",
        "111    25860            Hickory-Lenoir-Morganton, NC Metro Area      52917   \n",
        "112    26100                 Holland-Grand Haven, MI Metro Area      43068   \n",
        "113    26180                            Honolulu, HI Metro Area     201803   \n",
        "114    26300                         Hot Springs, AR Metro Area      13317   \n",
        "115    26380          Houma-Bayou Cane-Thibodaux, LA Metro Area      21614   \n",
        "116    26420          Houston-Sugar Land-Baytown, TX Metro Area     811874   \n",
        "117    26580            Huntington-Ashland, WV-KY-OH Metro Area      42552   \n",
        "118    26620                          Huntsville, AL Metro Area      71611   \n",
        "119    26820                         Idaho Falls, ID Metro Area      11232   \n",
        "120    26900                 Indianapolis-Carmel, IN Metro Area     335963   \n",
        "121    26980                           Iowa City, IA Metro Area      55171   \n",
        "122    27060                              Ithaca, NY Metro Area      24447   \n",
        "123    27100                             Jackson, MI Metro Area      32301   \n",
        "124    27140                             Jackson, MS Metro Area     117583   \n",
        "125    27180                             Jackson, TN Metro Area      19982   \n",
        "126    27340                        Jacksonville, NC Metro Area      18115   \n",
        "127    27500                          Janesville, WI Metro Area      49158   \n",
        "128    27620                      Jefferson City, MO Metro Area      21153   \n",
        "129    27740                        Johnson City, TN Metro Area      21013   \n",
        "130    27780                           Johnstown, PA Metro Area      23181   \n",
        "131    27860                           Jonesboro, AR Metro Area      12738   \n",
        "132    27900                              Joplin, MO Metro Area      19233   \n",
        "133    28020                   Kalamazoo-Portage, MI Metro Area      85333   \n",
        "134    28100                    Kankakee-Bradley, IL Metro Area      21574   \n",
        "135    28140                      Kansas City, MO-KS Metro Area     442376   \n",
        "136    28420            Kennewick-Pasco-Richland, WA Metro Area      34722   \n",
        "137    28660            Killeen-Temple-Fort Hood, TX Metro Area      41913   \n",
        "138    28700        Kingsport-Bristol-Bristol, TN-VA Metro Area      32347   \n",
        "139    28740                            Kingston, NY Metro Area      43164   \n",
        "140    28940                           Knoxville, TN Metro Area      87162   \n",
        "141    29020                              Kokomo, IN Metro Area      17529   \n",
        "142    29100                        La Crosse, WI-MN Metro Area      41913   \n",
        "143    29140                           Lafayette, IN Metro Area      30432   \n",
        "144    29180                           Lafayette, LA Metro Area      41185   \n",
        "145    29340                        Lake Charles, LA Metro Area      28765   \n",
        "146    29420            Lake Havasu City-Kingman, AZ Metro Area      18324   \n",
        "147    29540                           Lancaster, PA Metro Area      87108   \n",
        "148    29620                Lansing-East Lansing, MI Metro Area     127002   \n",
        "149    29700                              Laredo, TX Metro Area      37592   \n",
        "150    29740                          Las Cruces, NM Metro Area      36778   \n",
        "151    29820                  Las Vegas-Paradise, NV Metro Area     387978   \n",
        "152    29940                            Lawrence, KS Metro Area      28012   \n",
        "153    30020                              Lawton, OK Metro Area      12517   \n",
        "154    30140                             Lebanon, PA Metro Area      18975   \n",
        "155    30300                         Lewiston, ID-WA Metro Area      10444   \n",
        "156    30460                   Lexington-Fayette, KY Metro Area      88797   \n",
        "157    30620                                Lima, OH Metro Area      16869   \n",
        "158    30700                             Lincoln, NE Metro Area      62332   \n",
        "159    30780  Little Rock-North Little Rock-Conway, AR Metro...     121748   \n",
        "160    30860                            Logan, UT-ID Metro Area        325   \n",
        "161    30980                            Longview, TX Metro Area      19740   \n",
        "162    31020                            Longview, WA Metro Area      20897   \n",
        "163    31100    Los Angeles-Long Beach-Santa Ana, CA Metro Area    2129241   \n",
        "164    31140      Louisville/Jefferson County, KY-IN Metro Area     276264   \n",
        "165    31180                             Lubbock, TX Metro Area      26727   \n",
        "166    31340                           Lynchburg, VA Metro Area      43997   \n",
        "167    31460                   Madera-Chowchilla, CA Metro Area      12698   \n",
        "168    31540                             Madison, WI Metro Area     240646   \n",
        "169    31740                           Manhattan, KS Metro Area      14036   \n",
        "170    31860               Mankato-North Mankato, MN Metro Area      27816   \n",
        "171    31900                           Mansfield, OH Metro Area      21785   \n",
        "172    32580            McAllen-Edinburg-Mission, TX Metro Area      97879   \n",
        "173    32780                             Medford, OR Metro Area      42341   \n",
        "174    32820                       Memphis, TN-MS-AR Metro Area     293499   \n",
        "175    32900                              Merced, CA Metro Area      26128   \n",
        "176    33140              Michigan City-La Porte, IN Metro Area      24104   \n",
        "177    33260                             Midland, TX Metro Area       8223   \n",
        "178    33340       Milwaukee-Waukesha-West Allis, WI Metro Area     447918   \n",
        "179    33460  Minneapolis-St. Paul-Bloomington, MN-WI Metro ...    1029256   \n",
        "180    33540                            Missoula, MT Metro Area      34380   \n",
        "181    33660                              Mobile, AL Metro Area      78417   \n",
        "182    33700                             Modesto, CA Metro Area      70609   \n",
        "183    33740                              Monroe, LA Metro Area      29704   \n",
        "184    33780                              Monroe, MI Metro Area      36310   \n",
        "185    33860                          Montgomery, AL Metro Area      84034   \n",
        "186    34060                          Morgantown, WV Metro Area      16580   \n",
        "187    34100                          Morristown, TN Metro Area      11127   \n",
        "188    34580              Mount Vernon-Anacortes, WA Metro Area      21875   \n",
        "189    34620                              Muncie, IN Metro Area      22630   \n",
        "190    34740              Muskegon-Norton Shores, MI Metro Area      44436   \n",
        "191    34900                                Napa, CA Metro Area      19964   \n",
        "192    34980  Nashville-Davidson--Murfreesboro--Franklin, TN...     261550   \n",
        "193    35380         New Orleans-Metairie-Kenner, LA Metro Area     252643   \n",
        "194    35620  New York-Northern New Jersey-Long Island, NY-N...    3852335   \n",
        "195    35660                 Niles-Benton Harbor, MI Metro Area      33465   \n",
        "196    36140                          Ocean City, NJ Metro Area      21275   \n",
        "197    36220                              Odessa, TX Metro Area       8095   \n",
        "198    36420                       Oklahoma City, OK Metro Area      61156   \n",
        "199    36500                             Olympia, WA Metro Area      64879   \n",
        "200    36540             Omaha-Council Bluffs, NE-IA Metro Area     159970   \n",
        "201    36780                      Oshkosh-Neenah, WI Metro Area      45410   \n",
        "202    36980                           Owensboro, KY Metro Area      19473   \n",
        "203    37100        Oxnard-Thousand Oaks-Ventura, CA Metro Area     138119   \n",
        "204    37620      Parkersburg-Marietta-Vienna, WV-OH Metro Area      24015   \n",
        "205    37700                          Pascagoula, MS Metro Area      16804   \n",
        "206    37900                              Peoria, IL Metro Area      73546   \n",
        "207    37980  Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Me...    1754922   \n",
        "208    38060               Phoenix-Mesa-Glendale, AZ Metro Area     553436   \n",
        "209    38220                          Pine Bluff, AR Metro Area      19725   \n",
        "210    38300                          Pittsburgh, PA Metro Area     545787   \n",
        "211    38540                           Pocatello, ID Metro Area      14196   \n",
        "212    38900     Portland-Vancouver-Hillsboro, OR-WA Metro Area     601791   \n",
        "213    39100    Poughkeepsie-Newburgh-Middletown, NY Metro Area     127594   \n",
        "214    39140                            Prescott, AZ Metro Area      32624   \n",
        "215    39540                              Racine, WI Metro Area      52887   \n",
        "216    39580                        Raleigh-Cary, NC Metro Area     327308   \n",
        "217    39660                          Rapid City, SD Metro Area      18050   \n",
        "218    39740                             Reading, PA Metro Area      79895   \n",
        "219    39820                             Redding, CA Metro Area      18184   \n",
        "220    39900                         Reno-Sparks, NV Metro Area      95726   \n",
        "221    40060                            Richmond, VA Metro Area     336187   \n",
        "222    40140    Riverside-San Bernardino-Ontario, CA Metro Area     561957   \n",
        "223    40220                             Roanoke, VA Metro Area      61885   \n",
        "224    40340                           Rochester, MN Metro Area      49240   \n",
        "225    40380                           Rochester, NY Metro Area     231212   \n",
        "226    40420                            Rockford, IL Metro Area      70202   \n",
        "227    40580                         Rocky Mount, NC Metro Area      42463   \n",
        "228    40900  Sacramento--Arden-Arcade--Roseville, CA Metro ...     343078   \n",
        "229    40980      Saginaw-Saginaw Township North, MI Metro Area      54372   \n",
        "230    41060                           St. Cloud, MN Metro Area      41725   \n",
        "231    41140                       St. Joseph, MO-KS Metro Area      20322   \n",
        "232    41180                        St. Louis, MO-IL Metro Area     711940   \n",
        "233    41420                               Salem, OR Metro Area      70098   \n",
        "234    41500                             Salinas, CA Metro Area      51712   \n",
        "235    41540                           Salisbury, MD Metro Area      21959   \n",
        "236    41660                          San Angelo, TX Metro Area       9358   \n",
        "237    41700           San Antonio-New Braunfels, TX Metro Area     310563   \n",
        "238    41740       San Diego-Carlsbad-San Marcos, CA Metro Area     478386   \n",
        "239    41780                            Sandusky, OH Metro Area      20969   \n",
        "240    41860       San Francisco-Oakland-Fremont, CA Metro Area    1161260   \n",
        "241    41940      San Jose-Sunnyvale-Santa Clara, CA Metro Area     351856   \n",
        "242    42020         San Luis Obispo-Paso Robles, CA Metro Area      57655   \n",
        "243    42060    Santa Barbara-Santa Maria-Goleta, CA Metro Area      84279   \n",
        "244    42100              Santa Cruz-Watsonville, CA Metro Area      61106   \n",
        "245    42140                            Santa Fe, NM Metro Area      49668   \n",
        "246    42220                 Santa Rosa-Petaluma, CA Metro Area     124504   \n",
        "247    42540              Scranton--Wilkes-Barre, PA Metro Area     130095   \n",
        "248    42660             Seattle-Tacoma-Bellevue, WA Metro Area     950201   \n",
        "249    43100                           Sheboygan, WI Metro Area      28356   \n",
        "250    43300                     Sherman-Denison, TX Metro Area      10665   \n",
        "251    43340             Shreveport-Bossier City, LA Metro Area      76386   \n",
        "252    43580                    Sioux City, IA-NE-SD Metro Area      28509   \n",
        "253    43620                         Sioux Falls, SD Metro Area      44966   \n",
        "254    43780             South Bend-Mishawaka, IN-MI Metro Area      66045   \n",
        "255    44060                             Spokane, WA Metro Area      91977   \n",
        "256    44100                         Springfield, IL Metro Area      44056   \n",
        "257    44180                         Springfield, MO Metro Area      66048   \n",
        "258    44220                         Springfield, OH Metro Area      30022   \n",
        "259    44300                       State College, PA Metro Area      33677   \n",
        "260    44600             Steubenville-Weirton, OH-WV Metro Area      23515   \n",
        "261    44700                            Stockton, CA Metro Area      80005   \n",
        "262    45060                            Syracuse, NY Metro Area     147095   \n",
        "263    45460                         Terre Haute, IN Metro Area      29507   \n",
        "264    45500             Texarkana, TX-Texarkana, AR Metro Area      14702   \n",
        "265    45780                              Toledo, OH Metro Area     180829   \n",
        "266    45820                              Topeka, KS Metro Area      43848   \n",
        "267    45940                       Trenton-Ewing, NJ Metro Area      94300   \n",
        "268    46060                              Tucson, AZ Metro Area     183470   \n",
        "269    46140                               Tulsa, OK Metro Area     120590   \n",
        "270    46220                          Tuscaloosa, AL Metro Area      41918   \n",
        "271    46340                               Tyler, TX Metro Area      22101   \n",
        "272    46540                          Utica-Rome, NY Metro Area      47821   \n",
        "273    46700                   Vallejo-Fairfield, CA Metro Area      87225   \n",
        "274    47020                            Victoria, TX Metro Area      12432   \n",
        "275    47220        Vineland-Millville-Bridgeton, NJ Metro Area      30172   \n",
        "276    47260  Virginia Beach-Norfolk-Newport News, VA-NC Met...     421746   \n",
        "277    47300                 Visalia-Porterville, CA Metro Area      29191   \n",
        "278    47380                                Waco, TX Metro Area      25688   \n",
        "279    47900  Washington-Arlington-Alexandria, DC-VA-MD-WV M...    1415293   \n",
        "280    47940                Waterloo-Cedar Falls, IA Metro Area      48663   \n",
        "281    48140                              Wausau, WI Metro Area      32330   \n",
        "282    48300            Wenatchee-East Wenatchee, WA Metro Area      17566   \n",
        "283    48540                         Wheeling, WV-OH Metro Area      23844   \n",
        "284    48620                             Wichita, KS Metro Area      84276   \n",
        "285    48660                       Wichita Falls, TX Metro Area      11755   \n",
        "286    48700                        Williamsport, PA Metro Area      15104   \n",
        "287    48900                          Wilmington, NC Metro Area      79425   \n",
        "288    49020                       Winchester, VA-WV Metro Area      20066   \n",
        "289    49180                       Winston-Salem, NC Metro Area     107155   \n",
        "290    49420                              Yakima, WA Metro Area      25945   \n",
        "291    49620                        York-Hanover, PA Metro Area      72126   \n",
        "292    49660       Youngstown-Warren-Boardman, OH-PA Metro Area     156826   \n",
        "293    49700                           Yuba City, CA Metro Area      13821   \n",
        "294    49740                                Yuma, AZ Metro Area      14025   \n",
        "\n",
        "     ROMNEY_NUM  TOTAL_VOTES  OBAMA_PCT OBAMA_WIN  POP_2000  POP_2010  \\\n",
        "0         41487        53188   0.219993     False    160245    165252   \n",
        "1        143165       328393   0.564044      True    694960    703200   \n",
        "2        147555       350674   0.579225      True    825875    870716   \n",
        "3        144675       334576   0.567587      True    729649    887077   \n",
        "4         44269        65730   0.326502     False    145035    153922   \n",
        "5        162738       333690   0.512308      True    740395    821173   \n",
        "6         31500        47016   0.330015     False    129144    127089   \n",
        "7         63549        78606   0.191550     False    226522    249881   \n",
        "8         19557        45497   0.570147      True     79981     89542   \n",
        "9         26755        51159   0.477023     False    133358    131636   \n",
        "10        56401       177192   0.681696      True    322895    344791   \n",
        "11        30272        45772   0.338635     False    112249    118572   \n",
        "12        61813       118855   0.479929     False    201602    225666   \n",
        "13       108221       213014   0.491954     False    369171    424858   \n",
        "14        41918       101427   0.586718      True    252552    274549   \n",
        "15        32062        53336   0.398868     False    115092    140247   \n",
        "16       288027       621474   0.536542      True   1249763   1716289   \n",
        "17        99840       164530   0.393181     False    661645    839631   \n",
        "18       480781      1164888   0.587273      True   2552994   2710489   \n",
        "19       203718       361967   0.437192     False    705973    802484   \n",
        "20        28338        57608   0.508089      True    137985    136146   \n",
        "21        23735        50532   0.530298      True    110157    107771   \n",
        "22        84319       139100   0.393825     False    385090    388745   \n",
        "23        38764        88507   0.562023      True    166814    201140   \n",
        "24        40670        75655   0.462428     False    115367    157733   \n",
        "25        43934        72335   0.392632     False    138904    158050   \n",
        "26        46156        92734   0.502275      True    252320    251725   \n",
        "27       304072       504567   0.397361     False   1052238   1128047   \n",
        "28        36480        54983   0.336522     False     94719    108779   \n",
        "29        36103        66755   0.459172     False    151272    162958   \n",
        "30        29773        59821   0.502299      True    175506    192714   \n",
        "31        39638        71228   0.443505     False    150433    169572   \n",
        "32       152229       252881   0.398021     False    464840    616561   \n",
        "33        29616        47795   0.380354     False    104166    125953   \n",
        "34        47468       107169   0.557073      True    231969    251133   \n",
        "35        24955        74114   0.663289      True    335227    406220   \n",
        "36       200075       461121   0.566112      True   1170111   1135509   \n",
        "37        37712        66053   0.429065     False    130800    151131   \n",
        "38        94135       185845   0.493476     False    406934    404422   \n",
        "39        30922        43809   0.294163     False     90312     96275   \n",
        "40        12394        22684   0.453624     False     52457     55274   \n",
        "41        59074       139466   0.576427      True    237230    257940   \n",
        "42        44723        89836   0.502171      True    210275    231891   \n",
        "43        68670       113961   0.397425     False    309635    304284   \n",
        "44       340025       715012   0.524449      True   1330448   1758038   \n",
        "45        44244       103563   0.572782      True    174021    201559   \n",
        "46        89686       153920   0.417321     False    476531    528143   \n",
        "47      1282464      3620088   0.645737      True   9098316   9461105   \n",
        "48        35312        67879   0.479780     False    203171    220000   \n",
        "49       578826       987885   0.414076     False   2009632   2130151   \n",
        "50        51117        87902   0.418477     False    232000    273949   \n",
        "51        31525        41416   0.238821     False    104015    115788   \n",
        "52       379288       990708   0.617155      True   2148143   2077240   \n",
        "53        39347        58171   0.323598     False    108685    138494   \n",
        "54        46239        68176   0.321770     False    184885    228660   \n",
        "55        40355        81859   0.507018      True    145666    172786   \n",
        "56         8276        18771   0.559107      True    281768    294865   \n",
        "57        18083        28705   0.370040     False     71435     76794   \n",
        "58       400196       853437   0.531077      True   1612694   1836536   \n",
        "59        67602       123825   0.454052     False    403280    428185   \n",
        "60        14922        42584   0.649587      True     78153     85579   \n",
        "61        25845        37682   0.314129     False    102008    103299   \n",
        "62      1202585      2099197   0.427121     False   5161544   6371773   \n",
        "63        14888        25661   0.419820     False     83919     81625   \n",
        "64        27031        50101   0.460470     False    110156    106561   \n",
        "65        78549       185030   0.575480      True    376019    379690   \n",
        "66       216723       398470   0.456112     False    848153    841502   \n",
        "67        44164        62620   0.294730     False    145867    153829   \n",
        "68        25249        47937   0.473288     False    114706    110768   \n",
        "69       137637       300961   0.542675      True    481394    569633   \n",
        "70       824814      2066931   0.600947      True   4452557   4296250   \n",
        "71        43992        61425   0.283810     False    130861    145639   \n",
        "72        32134        67659   0.525059      True    126697    162310   \n",
        "73        21265        49865   0.573549      True     89143     93653   \n",
        "74        53959       154380   0.650479      True    275486    279771   \n",
        "75        81769       270994   0.698263      True    426493    504357   \n",
        "76        38589        84418   0.542882      True    148337    161151   \n",
        "77         9545        27009   0.646599      True    142361    174528   \n",
        "78        27268        44215   0.383286     False    107547    119736   \n",
        "79        42348        66724   0.365326     False    182791    197559   \n",
        "80        16207        31492   0.485361     False     91070     88830   \n",
        "81        56517       168790   0.665164      True    679622    800647   \n",
        "82        46102       111238   0.585555      True    280843    280566   \n",
        "83        60979       160870   0.620942      True    322959    351715   \n",
        "84        85671       145436   0.410937     False    342815    358676   \n",
        "85        49712        99554   0.500653      True    174367    208777   \n",
        "86        28779        44467   0.352801     False    113801    130044   \n",
        "87        56912       141818   0.598697      True    336609    366383   \n",
        "88       103003       157302   0.345190     False    347045    463204   \n",
        "89        19368        45684   0.576044      True    116320    134421   \n",
        "90        71807       200779   0.642358      True    436141    425790   \n",
        "91        37833        59497   0.364119     False    142950    147137   \n",
        "92        30329        52685   0.424333     False     97296    101633   \n",
        "93        69659        98190   0.290569     False    273170    298592   \n",
        "94       103890       171578   0.394503     False    390156    416257   \n",
        "95        91143       177005   0.485082     False    799407    930450   \n",
        "96        29102        41894   0.305342     False    103459    104430   \n",
        "97        22825        46533   0.509488      True    124345    128923   \n",
        "98        27536        50690   0.456776     False    113329    122623   \n",
        "99        22659        43440   0.478384     False     97478     98461   \n",
        "100      201229       367024   0.451728     False    740482    774160   \n",
        "101       18039        32988   0.453165     False     80357     81327   \n",
        "102       81175       157569   0.484829     False    282599    306241   \n",
        "103      173914       350242   0.503446      True    643430    723801   \n",
        "104       39927        84389   0.526870      True    152772    189510   \n",
        "105       56429        84344   0.330966     False    246190    248820   \n",
        "106       60577       100342   0.396295     False    222771    269140   \n",
        "107       17184        29466   0.416819     False    129461    152982   \n",
        "108      133714       247336   0.459383     False    509074    549475   \n",
        "109       30737        49446   0.378372     False    108193    125228   \n",
        "110       36921        55556   0.335427     False    123812    142842   \n",
        "111      101771       154688   0.342089     False    341851    365497   \n",
        "112       88503       131571   0.327337     False    238314    263801   \n",
        "113       87255       289058   0.698140      True    876156    953207   \n",
        "114       25031        38348   0.347267     False     88068     96024   \n",
        "115       57832        79446   0.272059     False    194477    208178   \n",
        "116     1032582      1844456   0.440170     False   4715407   5946800   \n",
        "117       60561       103113   0.412673     False    288649    287702   \n",
        "118      115942       187553   0.381817     False    342376    417593   \n",
        "119       42231        53463   0.210089     False    101677    130374   \n",
        "120      395769       731732   0.459134     False   1525104   1756241   \n",
        "121       29096        84267   0.654717      True    131676    152586   \n",
        "122       10202        34649   0.705561      True     96501    101564   \n",
        "123       36298        68599   0.470867     False    158422    160248   \n",
        "124      114413       231996   0.506832      True    497197    539057   \n",
        "125       26661        46643   0.428403     False    107377    115425   \n",
        "126       31695        49810   0.363682     False    150355    177772   \n",
        "127       30492        79650   0.617175      True    152307    160331   \n",
        "128       46263        67416   0.313768     False    140052    149807   \n",
        "129       53311        74324   0.282722     False    181607    198716   \n",
        "130       33464        56645   0.409233     False    152598    143679   \n",
        "131       25011        37749   0.337439     False    107762    121026   \n",
        "132       49524        68757   0.279724     False    157322    175518   \n",
        "133       68800       154133   0.553632      True    314866    326589   \n",
        "134       23115        44689   0.482759     False    103833    113449   \n",
        "135      471042       913418   0.484308     False   1836038   2035334   \n",
        "136       60762        95484   0.363642     False    191822    253340   \n",
        "137       66145       108058   0.387875     False    330714    405300   \n",
        "138       88260       120607   0.268202     False    298484    309544   \n",
        "139       27340        70504   0.612221      True    177749    182493   \n",
        "140      181748       268910   0.324131     False    616079    698030   \n",
        "141       25057        42586   0.411614     False    101541     98688   \n",
        "142       30662        72575   0.577513      True    126838    133665   \n",
        "143       36030        66462   0.457886     False    178541    201789   \n",
        "144       80642       121827   0.338061     False    239086    273738   \n",
        "145       55104        83869   0.342975     False    193568    199607   \n",
        "146       46442        64766   0.282926     False    155032    200186   \n",
        "147      129364       216472   0.402398     False    470658    519445   \n",
        "148       92188       219190   0.579415      True    447728    464036   \n",
        "149       11074        48666   0.772449      True    193117    250304   \n",
        "150       26988        63766   0.576765      True    174682    209233   \n",
        "151      288223       676201   0.573761      True   1375765   1951269   \n",
        "152       17028        45040   0.621936      True     99962    110826   \n",
        "153       17657        30174   0.414827     False    114996    124098   \n",
        "154       34010        52985   0.358120     False    120327    133568   \n",
        "155       15614        26058   0.400798     False     57961     60888   \n",
        "156      109545       198342   0.447696     False    408326    472099   \n",
        "157       28802        45671   0.369359     False    108473    106331   \n",
        "158       66124       128456   0.485240     False    266787    302157   \n",
        "159      153743       275491   0.441931     False    610518    699757   \n",
        "160        5195         5520   0.058877     False    102720    125442   \n",
        "161       54537        74277   0.265762     False    194042    214369   \n",
        "162       19107        40004   0.522373      True     92948    102410   \n",
        "163     1241192      3370433   0.631741      True  12365627  12828837   \n",
        "164      293219       569483   0.485114     False   1161975   1283566   \n",
        "165       64265        90992   0.293729     False    249700    284890   \n",
        "166       82452       126449   0.347943     False    228616    252634   \n",
        "167       18990        31688   0.400720     False    123109    150865   \n",
        "168      100775       341421   0.704837      True    501774    568593   \n",
        "169       22091        36127   0.388518     False    108999    127081   \n",
        "170       23130        50946   0.545990      True     85712     96740   \n",
        "171       33057        54842   0.397232     False    128852    124475   \n",
        "172       39786       137665   0.710994      True    569463    774769   \n",
        "173       46974        89315   0.474064     False    181269    203206   \n",
        "174      227181       520680   0.563684      True   1205204   1316100   \n",
        "175       23403        49531   0.527508      True    210554    255793   \n",
        "176       18609        42713   0.564325      True    110106    111467   \n",
        "177       35452        43675   0.188277     False    116009    136872   \n",
        "178      410697       858615   0.521675      True   1500741   1555908   \n",
        "179      803497      1832753   0.561590      True   2968806   3279833   \n",
        "180       23285        57665   0.596202      True     95802    109299   \n",
        "181       94566       172983   0.453322     False    399843    412992   \n",
        "182       69549       140158   0.503781      True    446997    514453   \n",
        "183       48488        78192   0.379885     False    170053    176441   \n",
        "184       35593        71903   0.504986      True    145945    152021   \n",
        "185       83626       167660   0.501217      True    346528    374536   \n",
        "186       24513        41093   0.403475     False    111200    129709   \n",
        "187       33021        44148   0.252039     False    123081    136608   \n",
        "188       19418        41293   0.529751      True    102979    116901   \n",
        "189       21231        43861   0.515948      True    118769    117671   \n",
        "190       30882        75318   0.589978      True    170200    172188   \n",
        "191       11647        31611   0.631552      True    124279    136484   \n",
        "192      364057       625607   0.418074     False   1311789   1589934   \n",
        "193      253524       506167   0.499130     False   1316510   1167764   \n",
        "194     2059511      5911846   0.651630      True  18323002  18897109   \n",
        "195       38209        71674   0.466906     False    162453    156813   \n",
        "196       25488        46763   0.454954     False    102326     97265   \n",
        "197       23936        32031   0.252724     False    121123    137130   \n",
        "198      142399       203555   0.300440     False   1095421   1252987   \n",
        "199       43703       108582   0.597512      True    207355    252264   \n",
        "200      199693       359663   0.444777     False    767041    865350   \n",
        "201       42073        87483   0.519072      True    156763    166994   \n",
        "202       30009        49482   0.393537     False    109875    114752   \n",
        "203      123919       262038   0.527095      True    753197    823318   \n",
        "204       42128        66143   0.363077     False    164624    162056   \n",
        "205       41615        58419   0.287646     False    150564    162246   \n",
        "206       89644       163190   0.450677     False    366899    379186   \n",
        "207      966623      2721545   0.644826      True   5687147   5965343   \n",
        "208      713782      1267218   0.436733     False   3251876   4192887   \n",
        "209       14027        33752   0.584410      True    107341    100258   \n",
        "210      559798      1105585   0.493664     False   2431087   2356285   \n",
        "211       22880        37076   0.382889     False     83103     90656   \n",
        "212      369658       971449   0.619478      True   1927881   2226009   \n",
        "213      113304       240898   0.529660      True    621517    670301   \n",
        "214       62385        95009   0.343378     False    167517    211033   \n",
        "215       49173       102060   0.518195      True    188831    195408   \n",
        "216      295619       622927   0.525436      True    797071   1130490   \n",
        "217       35789        53839   0.335259     False    112818    126382   \n",
        "218       80857       160752   0.497008     False    373638    411442   \n",
        "219       34561        52745   0.344753     False    163256    177223   \n",
        "220       89472       185198   0.516885      True    342885    425417   \n",
        "221      308208       644395   0.521710      True   1096957   1258251   \n",
        "222      535695      1097652   0.511963      True   3254821   4224851   \n",
        "223       85662       147547   0.419426     False    288309    308707   \n",
        "224       48403        97643   0.504286      True    163618    186011   \n",
        "225      186368       417580   0.553695      True   1037831   1054323   \n",
        "226       64806       135008   0.519984      True    320204    349431   \n",
        "227       32263        74726   0.568249      True    143026    152392   \n",
        "228      300889       643967   0.532757      True   1796857   2149127   \n",
        "229       42716        97088   0.560028      True    210039    200169   \n",
        "230       53864        95589   0.436504     False    167392    189093   \n",
        "231       29570        49892   0.407320     False    122336    127329   \n",
        "232      622117      1334057   0.533665      True   2698687   2812896   \n",
        "233       75812       145910   0.480419     False    347214    390738   \n",
        "234       25087        76799   0.673342      True    401762    415057   \n",
        "235       24842        46801   0.469199     False    109391    125203   \n",
        "236       27417        36775   0.254466     False    105781    111823   \n",
        "237      365331       675894   0.459485     False   1711703   2142508   \n",
        "238      431046       909432   0.526027      True   2813833   3095313   \n",
        "239       16655        37624   0.557330      True     79551     77079   \n",
        "240      339122      1500382   0.773976      True   4123740   4335391   \n",
        "241      142399       494255   0.711892      True   1735819   1836911   \n",
        "242       56500       114155   0.505059      True    246681    269637   \n",
        "243       59096       143375   0.587822      True    399347    423895   \n",
        "244       17132        78238   0.781027      True    255602    262382   \n",
        "245       15145        64813   0.766328      True    129292    144170   \n",
        "246       45666       170170   0.731645      True    458614    483878   \n",
        "247       98888       228983   0.568143      True    560625    563631   \n",
        "248      517758      1467959   0.647294      True   3043878   3439809   \n",
        "249       34282        62638   0.452696     False    112646    115507   \n",
        "250       30907        41572   0.256543     False    110595    120877   \n",
        "251       94717       171103   0.446433     False    375965    398604   \n",
        "252       31627        60136   0.474075     False    143053    143577   \n",
        "253       58311       103277   0.435392     False    187093    228261   \n",
        "254       65235       131280   0.503085      True    316663    319224   \n",
        "255      104797       196774   0.467425     False    417939    471221   \n",
        "256       54075        98131   0.448951     False    201437    210170   \n",
        "257      129197       195245   0.338283     False    368374    436712   \n",
        "258       31116        61138   0.491053     False    144742    138333   \n",
        "259       33697        67374   0.499852     False    135758    153990   \n",
        "260       28902        52417   0.448614     False    132008    124454   \n",
        "261       66742       146747   0.545190      True    563598    685306   \n",
        "262      103921       251016   0.585999      True    650154    662577   \n",
        "263       34761        64268   0.459124     False    170943    172425   \n",
        "264       35462        50164   0.293079     False    129749    136027   \n",
        "265      118941       299770   0.603226      True    659188    651429   \n",
        "266       51915        95763   0.457880     False    224551    233870   \n",
        "267       43155       137455   0.686043      True    350761    366513   \n",
        "268      162927       346397   0.529652      True    843746    980263   \n",
        "269      235409       355999   0.338737     False    859532    937478   \n",
        "270       49707        91625   0.457495     False    192034    219461   \n",
        "271       61858        83959   0.263236     False    174706    209714   \n",
        "272       54028       101849   0.469528     False    299896    299397   \n",
        "273       48364       135589   0.643304      True    394542    413344   \n",
        "274       26123        38555   0.322448     False    111663    115384   \n",
        "275       18767        48939   0.616523      True    146438    156898   \n",
        "276      338446       760192   0.554789      True   1576370   1671683   \n",
        "277       42186        71377   0.408969     False    368021    442179   \n",
        "278       47885        73573   0.349150     False    213517    234906   \n",
        "279      751878      2167171   0.653060      True   4796183   5582170   \n",
        "280       36666        85329   0.570298      True    163706    167819   \n",
        "281       36568        68898   0.469244     False    125834    134063   \n",
        "282       27028        44594   0.393909     False     99219    110884   \n",
        "283       33203        57047   0.417971     False    153172    147950   \n",
        "284      136689       220965   0.381400     False    571166    623061   \n",
        "285       37621        49376   0.238071     False    151524    151306   \n",
        "286       30490        45594   0.331272     False    120044    116111   \n",
        "287      101747       181172   0.438396     False    274532    362315   \n",
        "288       33308        53374   0.375951     False    102997    128472   \n",
        "289      121387       228542   0.468863     False    421961    477717   \n",
        "290       35381        61326   0.423067     False    222581    243231   \n",
        "291      111576       183702   0.392625     False    381751    434972   \n",
        "292      103551       260377   0.602304      True    602964    565773   \n",
        "293       21322        35143   0.393279     False    139149    166892   \n",
        "294       19500        33525   0.418345     False    160026    195751   \n",
        "\n",
        "     POP_PCT_CHANGE  POP_DENSITY_2000  POP_DENSITY_2010  POP_DENSITY_CHANGE  \\\n",
        "0               3.1            1903.0            1771.8              -131.2   \n",
        "1               1.2            2682.9            2412.8              -270.1   \n",
        "2               5.4            2858.6            2944.9                86.3   \n",
        "3              21.6            3310.2            3518.6               208.4   \n",
        "4               6.1             845.0             803.2               -41.8   \n",
        "5              10.9            3643.6            3889.3               245.7   \n",
        "6              -1.6            2755.7            2428.7              -327.0   \n",
        "7              10.3            2743.6            2591.4              -152.2   \n",
        "8              12.0            2382.0            2343.4               -38.6   \n",
        "9              -1.3            1524.6            1327.9              -196.8   \n",
        "10              6.8            3606.4            3363.5              -242.9   \n",
        "11              5.6             614.4             566.6               -47.8   \n",
        "12             11.9            2156.5            1950.0              -206.4   \n",
        "13             15.1             662.2             728.7                66.5   \n",
        "14              8.7            3601.0            3412.3              -188.7   \n",
        "15             21.9            1198.5            1220.9                22.4   \n",
        "16             37.3            3259.2            3131.5              -127.8   \n",
        "17             26.9            3631.2            3711.5                80.3   \n",
        "18              6.2            5890.9            5435.7              -455.2   \n",
        "19             13.7            1640.2            1603.3               -36.9   \n",
        "20             -1.3            1313.9            1179.4              -134.5   \n",
        "21             -2.2            1920.5            1780.5              -140.0   \n",
        "22              0.9            1779.2            1711.2               -68.0   \n",
        "23             20.6            1678.6            1775.1                96.4   \n",
        "24             36.7             960.6            1154.6               194.0   \n",
        "25             13.8            2148.5            2109.9               -38.6   \n",
        "26             -0.2            2141.3            2226.1                84.8   \n",
        "27              7.2            1508.5            1314.2              -194.4   \n",
        "28             14.8            2066.4            1802.5              -263.9   \n",
        "29              7.7            1199.6            1228.1                28.5   \n",
        "30              9.8            2082.9            2331.1               248.2   \n",
        "31             12.7            3279.9            3046.9              -233.0   \n",
        "32             32.6            2373.5            2310.2               -63.2   \n",
        "33             20.9            1548.7            1730.3               181.5   \n",
        "34              8.3            1953.4            1835.9              -117.5   \n",
        "35             21.2            3104.5            2842.9              -261.6   \n",
        "36             -3.0            4601.5            4129.4              -472.1   \n",
        "37             15.5            1096.7            1126.7                29.9   \n",
        "38             -0.6            2128.1            1919.9              -208.1   \n",
        "39              6.6            1014.5            1093.8                79.3   \n",
        "40              5.4            3247.1            3285.4                38.3   \n",
        "41              8.7            1874.6            1661.3              -213.2   \n",
        "42             10.3            4043.9            4405.2               361.3   \n",
        "43             -1.7            1099.5            1033.7               -65.8   \n",
        "44             32.1            1738.1            1881.3               143.2   \n",
        "45             15.8            1979.4            2050.7                71.3   \n",
        "46             10.8            1095.4            1126.8                31.5   \n",
        "47              4.0            9829.6            8613.4                 NaN   \n",
        "48              8.3            2124.2            2144.7                20.5   \n",
        "49              6.0            2864.8            2563.6              -301.1   \n",
        "50             18.1            1135.0            1151.8                16.7   \n",
        "51             11.3             766.7             811.3                44.6   \n",
        "52             -3.3            4581.7            3808.4              -773.3   \n",
        "53             27.4            1230.2            1357.8               127.6   \n",
        "54             23.7            2660.7            2804.2               143.5   \n",
        "55             18.6            1633.1            1630.5                -2.6   \n",
        "56              4.6            1859.4            1680.8              -178.5   \n",
        "57              7.5            1086.6            1083.8                -2.8   \n",
        "58             13.9            3416.4            3186.0              -230.4   \n",
        "59              6.2            3148.9            3204.0                55.1   \n",
        "60              9.5            2548.9            2653.2               104.4   \n",
        "61              1.3             878.5             845.1               -33.4   \n",
        "62             23.4            4295.2            3909.3              -385.9   \n",
        "63             -2.7             745.1             684.6               -60.5   \n",
        "64             -3.3             965.6             794.0              -171.5   \n",
        "65              1.0            2306.0            2218.6               -87.4   \n",
        "66             -0.8            2565.7            2243.4              -322.3   \n",
        "67              5.5             793.8             818.7                24.9   \n",
        "68             -3.4            1978.6            1730.3              -248.3   \n",
        "69             18.3            2576.4            2375.0              -201.4   \n",
        "70             -3.5            4534.2            3800.4              -733.9   \n",
        "71             11.3             601.9             623.4                21.5   \n",
        "72             28.1             828.1             912.7                84.6   \n",
        "73              5.1            2466.3            2242.7              -223.6   \n",
        "74              1.6            1428.7            1377.1               -51.6   \n",
        "75             18.3            1858.7            1860.4                 1.7   \n",
        "76              8.6            1408.6            1345.6               -63.0   \n",
        "77             22.6            3347.6            3062.6              -285.1   \n",
        "78             11.3             839.2             841.3                 2.1   \n",
        "79              8.1            1551.7            1369.5              -182.2   \n",
        "80             -2.5            2354.2            2162.6              -191.5   \n",
        "81             17.8            4521.0            4318.3              -202.7   \n",
        "82             -0.1            3402.8            3298.5              -104.4   \n",
        "83              8.9            2558.7            2787.1               228.4   \n",
        "84              4.6            1785.4            1660.1              -125.3   \n",
        "85             19.7            3050.3            2770.1              -280.2   \n",
        "86             14.3             763.9             831.1                67.2   \n",
        "87              8.8            1765.2            1694.0               -71.2   \n",
        "88             33.5             933.4            1114.8               181.4   \n",
        "89             15.6            1002.6            1348.4               345.7   \n",
        "90             -2.4            2271.4            1814.2              -457.3   \n",
        "91              2.9             746.2             772.3                26.1   \n",
        "92              4.5            1773.6            1658.6              -115.0   \n",
        "93              9.3             832.0             832.9                 0.9   \n",
        "94              6.7            2155.0            1964.2              -190.8   \n",
        "95             16.4            4168.7            4216.1                47.4   \n",
        "96              0.9             702.6             664.7               -37.9   \n",
        "97              3.7             893.1             923.4                30.3   \n",
        "98              8.2             646.5             592.8               -53.7   \n",
        "99              1.0            1970.1            2043.9                73.9   \n",
        "100             4.5            2583.4            2330.9              -252.5   \n",
        "101             1.2            1912.6            1857.1               -55.5   \n",
        "102             8.4            2159.0            1869.1              -289.9   \n",
        "103            12.5            1483.2            1507.7                24.5   \n",
        "104            24.0            1275.3            1380.9               105.5   \n",
        "105             1.1            1352.8            1092.3              -260.5   \n",
        "106            20.8            1418.0            1299.6              -118.4   \n",
        "107            18.2            2761.1            2996.2               235.1   \n",
        "108             7.9            2480.3            2446.0               -34.3   \n",
        "109            15.7            1525.4            1861.9               336.5   \n",
        "110            15.4            1010.0             828.0              -182.0   \n",
        "111             6.9             581.5             578.6                -2.9   \n",
        "112            10.7            1547.9            1539.7                -8.2   \n",
        "113             8.8           10977.5           11548.2               570.7   \n",
        "114             9.0             638.5             627.2               -11.3   \n",
        "115             7.0             971.8             952.6               -19.2   \n",
        "116            26.1            4258.4            4109.6              -148.8   \n",
        "117            -0.3            1447.2            1376.7               -70.4   \n",
        "118            22.0            1199.4            1182.5               -16.9   \n",
        "119            28.2            1678.8            1690.7                11.9   \n",
        "120            15.2            2493.0            2285.6              -207.3   \n",
        "121            15.9            2849.6            2707.7              -141.8   \n",
        "122             5.2            2788.7            3030.8               242.1   \n",
        "123             1.2            1422.5            1462.8                40.2   \n",
        "124             8.4            1435.9            1277.9              -157.9   \n",
        "125             7.5             999.1             943.8               -55.2   \n",
        "126            18.2            1023.9             962.8               -61.1   \n",
        "127             5.3            2019.8            1894.7              -125.2   \n",
        "128             7.0             587.7             522.7               -64.9   \n",
        "129             9.4             836.3             879.1                42.8   \n",
        "130            -5.8            1491.0            1322.1              -168.9   \n",
        "131            12.3             797.4             856.9                59.5   \n",
        "132            11.6             866.1             872.5                 6.3   \n",
        "133             3.7            1716.9            1603.7              -113.2   \n",
        "134             9.3            1591.6            1528.5               -63.1   \n",
        "135            10.9            2505.8            2326.1              -179.7   \n",
        "136            32.1            2039.9            2212.4               172.5   \n",
        "137            22.6            2020.9            2001.8               -19.2   \n",
        "138             3.7             626.6             633.5                 6.8   \n",
        "139             2.7             909.3             958.6                49.3   \n",
        "140            13.3            1282.3            1343.3                60.9   \n",
        "141            -2.8            1577.7            1480.3               -97.4   \n",
        "142             5.4            1959.7            1877.9               -81.8   \n",
        "143            13.0            3417.9            3227.7              -190.2   \n",
        "144            14.5            1434.9            1524.5                89.6   \n",
        "145             3.1            1359.2            1309.9               -49.3   \n",
        "146            29.1            1134.6            1143.6                 9.0   \n",
        "147            10.4            2869.5            2940.2                70.8   \n",
        "148             3.6            3259.9            3222.2               -37.7   \n",
        "149            29.6            5923.6            5300.1              -623.5   \n",
        "150            19.8            1824.5            1782.3               -42.2   \n",
        "151            41.8            6781.8            6527.2              -254.6   \n",
        "152            10.9            2963.5            2795.5              -168.0   \n",
        "153             7.9            1920.5            1830.3               -90.2   \n",
        "154            11.0            2136.4            2053.6               -82.8   \n",
        "155             5.0            1431.3            1443.6                12.3   \n",
        "156            15.6            3041.9            2918.6              -123.2   \n",
        "157            -2.0            1688.3            1497.7              -190.6   \n",
        "158            13.3            3939.9            3748.0              -192.0   \n",
        "159            14.6            1455.4            1404.3               -51.0   \n",
        "160            22.1            2110.4            1915.9              -194.4   \n",
        "161            10.5             834.5             876.0                41.5   \n",
        "162            10.2            2036.9            2005.7               -31.2   \n",
        "163             3.7           12442.0           12113.9              -328.1   \n",
        "164            10.5            2618.8            2477.3              -141.4   \n",
        "165            14.1            3107.3            3077.6               -29.7   \n",
        "166            10.5             741.4             808.3                66.9   \n",
        "167            22.5            1894.9            2391.0               496.1   \n",
        "168            13.3            3728.7            3502.2              -226.5   \n",
        "169            16.6            1786.3            1766.3               -19.9   \n",
        "170            12.9            1759.4            1933.4               174.0   \n",
        "171            -3.4            1358.6            1105.9              -252.7   \n",
        "172            36.1            1863.9            2083.8               219.9   \n",
        "173            12.1            1946.1            1939.4                -6.7   \n",
        "174             9.2            2723.5            2372.3              -351.3   \n",
        "175            21.5            2447.4            2455.0                 7.7   \n",
        "176             1.2            1257.5            1177.3               -80.3   \n",
        "177            18.0            2535.7            2684.2               148.5   \n",
        "178             3.7            5454.8            5257.6              -197.2   \n",
        "179            10.5            3617.3            3383.4              -233.9   \n",
        "180            14.1            1827.5            1908.0                80.5   \n",
        "181             3.3            1890.9            1659.3              -231.7   \n",
        "182            15.1            4301.8            4322.7                21.0   \n",
        "183             3.8            1085.9             995.8               -90.0   \n",
        "184             4.2             969.8             919.0               -50.8   \n",
        "185             8.1            1603.8            1492.7              -111.2   \n",
        "186            16.6            2156.1            2034.2              -121.9   \n",
        "187            11.0             511.9             554.2                42.3   \n",
        "188            13.5            1208.3            1286.5                78.2   \n",
        "189            -0.9            2219.5            2377.0               157.5   \n",
        "190             1.2            1736.3            1563.9              -172.4   \n",
        "191             9.8            3739.2            4045.9               306.7   \n",
        "192            21.2            1660.6            1695.3                34.6   \n",
        "193           -11.3            6118.9            4370.2                 NaN   \n",
        "194             3.1           31683.6           31251.4              -432.2   \n",
        "195            -3.5            1149.5            1056.1               -93.4   \n",
        "196            -4.9            1709.2            1424.6              -284.6   \n",
        "197            13.2            2484.8            2519.6                34.8   \n",
        "198            14.4            2588.7            2568.8               -19.9   \n",
        "199            21.7            1556.6            1702.9               146.3   \n",
        "200            12.8            3284.5            3138.1              -146.4   \n",
        "201             6.5            2866.4            2701.8              -164.6   \n",
        "202             4.4            1350.5            1347.4                -3.1   \n",
        "203             9.3            5218.3            5542.2               323.9   \n",
        "204            -1.6            1215.0            1135.9               -79.1   \n",
        "205             7.8            1007.2             862.8              -144.4   \n",
        "206             3.3            1862.2            1651.2              -211.0   \n",
        "207             4.9            8064.3            7773.2              -291.1   \n",
        "208            28.9            5028.4            4394.9              -633.4   \n",
        "209            -6.6            1021.7             847.3              -174.5   \n",
        "210            -3.1            3290.0            2990.8              -299.3   \n",
        "211             9.1            1730.3            1803.9                73.6   \n",
        "212            15.5            3994.4            4372.6               378.2   \n",
        "213             7.8            2078.5            2319.5               241.0   \n",
        "214            26.0             690.1             724.5                34.4   \n",
        "215             3.5            3151.6            2905.0              -246.6   \n",
        "216            41.8            1694.1            1850.1               156.1   \n",
        "217            12.0            1253.6            1170.8               -82.8   \n",
        "218            10.1            4316.3            4656.8               340.5   \n",
        "219             8.6            1227.5            1334.2               106.8   \n",
        "220            24.1            4268.8            3714.7              -554.1   \n",
        "221            14.7            2159.1            2175.7                16.6   \n",
        "222            29.8            4060.4            4299.6               239.2   \n",
        "223             7.1            1519.5            1483.4               -36.1   \n",
        "224            13.7            1663.0            1549.6              -113.4   \n",
        "225             1.6            3096.9            2909.0              -187.9   \n",
        "226             9.1            2592.2            2381.4              -210.7   \n",
        "227             6.5             567.4             525.7               -41.7   \n",
        "228            19.6            4584.3            4538.5               -45.8   \n",
        "229            -4.7            1910.1            1601.2              -308.9   \n",
        "230            13.0            1231.3            1260.7                29.4   \n",
        "231             4.1            1609.9            1621.5                11.6   \n",
        "232             4.2            3015.9            2742.5              -273.5   \n",
        "233            12.5            2660.4            2958.1               297.7   \n",
        "234             3.3            6735.2            6402.3              -332.9   \n",
        "235            14.5            1057.7            1089.8                32.1   \n",
        "236             5.7            1909.2            1905.7                -3.5   \n",
        "237            25.2            3570.4            3475.4               -94.9   \n",
        "238            10.0            7094.4            6920.5              -173.9   \n",
        "239            -3.1            2019.8            1782.7              -237.1   \n",
        "240             5.1           12438.4           12144.9              -293.4   \n",
        "241             5.8            8300.4            8417.7               117.3   \n",
        "242             9.3            2352.4            2293.4               -59.0   \n",
        "243             6.1            6041.4            6242.8               201.4   \n",
        "244             2.7            4479.6            4553.7                74.1   \n",
        "245            11.5            1845.2            1770.8               -74.4   \n",
        "246             5.5            3163.0            3253.6                90.6   \n",
        "247             0.5            2954.4            2889.1               -65.4   \n",
        "248            13.0            4474.3            4721.6               247.3   \n",
        "249             2.5            2309.5            2088.2              -221.3   \n",
        "250             9.3             769.1             722.4               -46.7   \n",
        "251             6.0            1711.8            1566.4              -145.4   \n",
        "252             0.4            2218.8            2105.7              -113.1   \n",
        "253            22.0            2247.0            2215.0               -32.0   \n",
        "254             0.8            2282.5            2015.6              -266.9   \n",
        "255            12.7            2936.4            2861.7               -74.7   \n",
        "256             4.3            1893.8            1719.1              -174.7   \n",
        "257            18.6            1489.9            1434.4               -55.5   \n",
        "258            -4.4            2146.3            1928.1              -218.2   \n",
        "259            13.4            4106.6            4366.2               259.6   \n",
        "260            -5.7            1108.4            1008.5               -99.9   \n",
        "261            21.6            5197.5            4889.1              -308.4   \n",
        "262             1.9            2762.7            2749.3               -13.4   \n",
        "263             0.9            1245.1            1173.5               -71.6   \n",
        "264             4.8             946.9             921.6               -25.3   \n",
        "265            -1.2            3099.2            2701.9              -397.3   \n",
        "266             4.2            1672.3            1595.3               -76.9   \n",
        "267             4.5            5783.5            5864.6                81.1   \n",
        "268            16.2            3416.7            3213.0              -203.6   \n",
        "269             9.1            2053.7            1980.2               -73.5   \n",
        "270            14.3            1213.7            1308.2                94.5   \n",
        "271            20.0            1206.5            1167.0               -39.5   \n",
        "272            -0.2            2080.8            2186.4               105.5   \n",
        "273             4.8            4883.4            4502.1              -381.4   \n",
        "274             3.3            1685.8            1729.1                43.3   \n",
        "275             7.1            2181.9            2523.6               341.7   \n",
        "276             6.0            3589.3            4084.1               494.8   \n",
        "277            20.2            2708.7            2804.1                95.4   \n",
        "278            10.0            1891.2            1743.0              -148.2   \n",
        "279            16.4            6251.8            6388.1               136.3   \n",
        "280             2.5            2038.2            1947.3               -90.8   \n",
        "281             6.5            1007.9             912.3               -95.6   \n",
        "282            11.8            1365.5            1520.2               154.7   \n",
        "283            -3.4             978.5             842.0              -136.5   \n",
        "284             9.1            2368.7            2265.6              -103.1   \n",
        "285            -0.1            1592.3            1526.2               -66.0   \n",
        "286            -3.3            1864.8            1747.5              -117.3   \n",
        "287            32.0            1073.7            1232.1               158.4   \n",
        "288            24.7            1030.1            1165.0               134.9   \n",
        "289            13.2            1134.4            1202.6                68.2   \n",
        "290             9.3            2265.5            2377.1               111.5   \n",
        "291            13.9            2244.0            2306.4                62.4   \n",
        "292            -6.2            1841.7            1569.8              -271.9   \n",
        "293            19.9            2073.0            2206.1               133.1   \n",
        "294            22.3            2982.2            2836.3              -145.9   \n",
        "\n",
        "       EDU_10    EDU_12    EDU_14    EDU_16    EDU_AVG  \n",
        "0    0.161588  0.300035  0.331595  0.206781  13.167140  \n",
        "1    0.072797  0.321001  0.301059  0.305143  13.677097  \n",
        "2    0.063663  0.254003  0.318971  0.363364  13.964072  \n",
        "3    0.116345  0.243287  0.341785  0.298582  13.645208  \n",
        "4    0.170721  0.363467  0.307582  0.158230  12.906644  \n",
        "5    0.090772  0.331558  0.282193  0.295476  13.564746  \n",
        "6    0.059314  0.484242  0.256035  0.200410  13.195081  \n",
        "7    0.152422  0.243828  0.371029  0.232721  13.368099  \n",
        "8    0.031097  0.151416  0.307523  0.509964  14.592708  \n",
        "9    0.098599  0.379664  0.331626  0.190111  13.226498  \n",
        "10   0.046029  0.151751  0.277167  0.525052  14.562485  \n",
        "11   0.187500  0.328577  0.323043  0.160881  12.914609  \n",
        "12   0.051646  0.307609  0.348533  0.292212  13.762625  \n",
        "13   0.104986  0.252890  0.340284  0.301841  13.677959  \n",
        "14   0.146883  0.317288  0.282583  0.253246  13.284384  \n",
        "15   0.108189  0.275312  0.278624  0.337875  13.692370  \n",
        "16   0.115132  0.187690  0.288158  0.409020  13.982131  \n",
        "17   0.276269  0.258272  0.316818  0.148641  12.675662  \n",
        "18   0.089392  0.251771  0.278724  0.380113  13.899115  \n",
        "19   0.123842  0.311356  0.287258  0.277544  13.437009  \n",
        "20   0.090930  0.336023  0.372157  0.200891  13.366016  \n",
        "21   0.081664  0.328151  0.384856  0.205329  13.427702  \n",
        "22   0.148767  0.349531  0.338327  0.163374  13.032617  \n",
        "23   0.077640  0.212026  0.380249  0.330084  13.925554  \n",
        "24   0.061335  0.219531  0.407330  0.311804  13.939205  \n",
        "25   0.057420  0.294385  0.336392  0.311803  13.805158  \n",
        "26   0.079017  0.313136  0.328974  0.278872  13.615401  \n",
        "27   0.125090  0.260453  0.323972  0.290486  13.559707  \n",
        "28   0.029533  0.245902  0.384064  0.340501  14.071067  \n",
        "29   0.093393  0.263142  0.295922  0.347543  13.795227  \n",
        "30   0.081357  0.283851  0.293108  0.341683  13.790234  \n",
        "31   0.043534  0.233425  0.279048  0.443992  14.246997  \n",
        "32   0.090095  0.242154  0.361167  0.306583  13.768476  \n",
        "33   0.121359  0.314346  0.288050  0.276245  13.438362  \n",
        "34   0.056185  0.236956  0.419949  0.286909  13.875165  \n",
        "35   0.322438  0.256246  0.262565  0.158751  12.515257  \n",
        "36   0.074073  0.272227  0.331874  0.321826  13.802906  \n",
        "37   0.167674  0.275696  0.342321  0.214309  13.206530  \n",
        "38   0.080115  0.374432  0.323544  0.221909  13.374494  \n",
        "39   0.107983  0.340447  0.292986  0.258585  13.404345  \n",
        "40   0.136594  0.292510  0.373051  0.197845  13.264295  \n",
        "41   0.050499  0.253774  0.378006  0.317722  13.925901  \n",
        "42   0.057510  0.222029  0.299165  0.421297  14.168497  \n",
        "43   0.118504  0.374394  0.269812  0.237290  13.251777  \n",
        "44   0.110440  0.231132  0.306446  0.351982  13.799937  \n",
        "45   0.101875  0.220843  0.222572  0.454709  14.060230  \n",
        "46   0.129820  0.300622  0.323799  0.245759  13.370993  \n",
        "47   0.116868  0.234737  0.279802  0.368593  13.800239  \n",
        "48   0.125288  0.217878  0.415499  0.241335  13.545763  \n",
        "49   0.087554  0.300529  0.297424  0.314494  13.677717  \n",
        "50   0.093663  0.321000  0.375135  0.210202  13.403753  \n",
        "51   0.146371  0.354450  0.317225  0.181954  13.069524  \n",
        "52   0.086892  0.284001  0.322921  0.306186  13.696801  \n",
        "53   0.062052  0.281993  0.423604  0.232352  13.652511  \n",
        "54   0.149706  0.240768  0.267306  0.342220  13.604079  \n",
        "55   0.054679  0.191586  0.251339  0.502396  14.402906  \n",
        "56   0.123912  0.280777  0.368359  0.226952  13.396703  \n",
        "57   0.092038  0.310636  0.299088  0.298238  13.607050  \n",
        "58   0.083834  0.266212  0.294817  0.355137  13.842515  \n",
        "59   0.175235  0.275434  0.353292  0.196039  13.140269  \n",
        "60   0.058870  0.143737  0.298036  0.499357  14.475759  \n",
        "61   0.100424  0.441803  0.284850  0.172924  13.060545  \n",
        "62   0.156883  0.221216  0.298913  0.322988  13.576010  \n",
        "63   0.121640  0.373678  0.360252  0.144430  13.054941  \n",
        "64   0.152773  0.328045  0.353339  0.165843  13.064506  \n",
        "65   0.080605  0.278257  0.371745  0.269393  13.659854  \n",
        "66   0.089714  0.293820  0.351436  0.265030  13.583564  \n",
        "67   0.169653  0.330969  0.312771  0.186607  13.032665  \n",
        "68   0.102106  0.304768  0.343716  0.249410  13.480861  \n",
        "69   0.067031  0.240071  0.323213  0.369686  13.991108  \n",
        "70   0.096636  0.263540  0.342266  0.297558  13.681493  \n",
        "71   0.149552  0.348941  0.304949  0.196558  13.097026  \n",
        "72   0.122355  0.332810  0.328434  0.216402  13.277765  \n",
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        "127  0.119942  0.324632  0.348859  0.206567  13.284100  \n",
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        "129  0.129053  0.315830  0.289324  0.265793  13.383713  \n",
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        "137  0.095046  0.297603  0.406107  0.201244  13.427100  \n",
        "138  0.133760  0.363642  0.301130  0.201467  13.140610  \n",
        "139  0.100017  0.276014  0.314776  0.309193  13.666289  \n",
        "140  0.096875  0.291514  0.303321  0.308290  13.646054  \n",
        "141  0.088255  0.366982  0.342850  0.201913  13.316841  \n",
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        "144  0.125888  0.344889  0.274514  0.254709  13.316091  \n",
        "145  0.123748  0.367409  0.301555  0.207288  13.184765  \n",
        "146  0.160259  0.318619  0.400749  0.120372  12.962469  \n",
        "147  0.136783  0.380693  0.231350  0.251174  13.193829  \n",
        "148  0.068769  0.227032  0.378293  0.325906  13.922673  \n",
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        "150  0.197369  0.224595  0.316628  0.261408  13.284151  \n",
        "151  0.155833  0.293786  0.331123  0.219258  13.227614  \n",
        "152  0.051574  0.192786  0.260640  0.495000  14.398133  \n",
        "153  0.092335  0.337814  0.367482  0.202369  13.359771  \n",
        "154  0.110475  0.445355  0.231186  0.212983  13.093356  \n",
        "155  0.083831  0.292392  0.414700  0.209077  13.498047  \n",
        "156  0.111108  0.243812  0.287951  0.357129  13.782202  \n",
        "157  0.085593  0.392360  0.338492  0.183556  13.240021  \n",
        "158  0.060857  0.205338  0.361877  0.371928  14.089753  \n",
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        "162  0.124275  0.294578  0.428447  0.152700  13.219144  \n",
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        "168  0.044871  0.199615  0.307233  0.448280  14.317846  \n",
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        "179  0.060399  0.204283  0.326666  0.408652  14.167142  \n",
        "180  0.034504  0.212188  0.347502  0.405807  14.249223  \n",
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        "183  0.142592  0.346133  0.297119  0.214156  13.165679  \n",
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        "189  0.095452  0.338470  0.321974  0.244105  13.429461  \n",
        "190  0.103380  0.334608  0.384571  0.177442  13.272148  \n",
        "191  0.186308  0.184906  0.320450  0.308336  13.501629  \n",
        "192  0.108614  0.279311  0.282466  0.329609  13.666139  \n",
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        "196  0.092862  0.328773  0.270808  0.307557  13.586122  \n",
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        "220  0.138357  0.237331  0.350073  0.274239  13.520387  \n",
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        "239  0.084344  0.390294  0.317312  0.208050  13.298137  \n",
        "240  0.110650  0.163766  0.262930  0.462654  14.155177  \n",
        "241  0.122293  0.152168  0.250334  0.475204  14.156899  \n",
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        "243  0.217592  0.173816  0.306379  0.302212  13.386424  \n",
        "244  0.151527  0.150062  0.333661  0.364751  13.823272  \n",
        "245  0.140824  0.201445  0.286408  0.371322  13.776456  \n",
        "246  0.135071  0.197645  0.355295  0.311988  13.688401  \n",
        "247  0.084136  0.364955  0.293491  0.257418  13.448384  \n",
        "248  0.077441  0.205373  0.332532  0.384654  14.048796  \n",
        "249  0.078796  0.330789  0.338292  0.252123  13.527481  \n",
        "250  0.138292  0.304481  0.355199  0.202028  13.241926  \n",
        "251  0.123727  0.330188  0.311325  0.234761  13.314239  \n",
        "252  0.139705  0.300324  0.335894  0.224077  13.288684  \n",
        "253  0.066449  0.281508  0.331974  0.320070  13.811328  \n",
        "254  0.100903  0.304990  0.326217  0.267890  13.522189  \n",
        "255  0.058239  0.237230  0.407349  0.297182  13.886947  \n",
        "256  0.064312  0.264218  0.334113  0.337357  13.889029  \n",
        "257  0.092728  0.286218  0.348960  0.272094  13.600839  \n",
        "258  0.118426  0.361748  0.332993  0.186832  13.176462  \n",
        "259  0.054689  0.298789  0.217584  0.428938  14.041541  \n",
        "260  0.075449  0.412243  0.331172  0.181136  13.235990  \n",
        "261  0.215298  0.256879  0.342062  0.185761  12.996574  \n",
        "262  0.087819  0.285791  0.313984  0.312406  13.701954  \n",
        "263  0.119093  0.359676  0.324554  0.196677  13.197629  \n",
        "264  0.113483  0.374862  0.338048  0.173607  13.143559  \n",
        "265  0.087293  0.305602  0.352926  0.254178  13.547980  \n",
        "266  0.078944  0.310521  0.324263  0.286272  13.635725  \n",
        "267  0.106446  0.254337  0.234204  0.405013  13.875569  \n",
        "268  0.119172  0.219541  0.369899  0.291388  13.667007  \n",
        "269  0.103006  0.284723  0.341287  0.270984  13.560500  \n",
        "270  0.123826  0.306443  0.301100  0.268630  13.429071  \n",
        "271  0.144735  0.250043  0.355179  0.250043  13.421062  \n",
        "272  0.101976  0.302545  0.347535  0.247944  13.482891  \n",
        "273  0.118616  0.240918  0.400078  0.240388  13.524476  \n",
        "274  0.174667  0.307767  0.361347  0.156219  12.998236  \n",
        "275  0.205449  0.394213  0.252037  0.148301  12.686382  \n",
        "276  0.083585  0.250979  0.369294  0.296141  13.755982  \n",
        "277  0.311333  0.241616  0.312089  0.134962  12.541358  \n",
        "278  0.163835  0.266548  0.340790  0.228827  13.269220  \n",
        "279  0.089853  0.183638  0.235093  0.491416  14.256147  \n",
        "280  0.082703  0.304255  0.327199  0.285842  13.632359  \n",
        "281  0.065375  0.367574  0.329139  0.237912  13.479177  \n",
        "282  0.186815  0.277684  0.332528  0.202972  13.103315  \n",
        "283  0.086261  0.385651  0.322839  0.205248  13.294149  \n",
        "284  0.099484  0.257094  0.348598  0.294824  13.677524  \n",
        "285  0.133156  0.326593  0.338620  0.201631  13.217452  \n",
        "286  0.096242  0.412864  0.285823  0.205071  13.199446  \n",
        "287  0.103960  0.239871  0.342155  0.314014  13.732445  \n",
        "288  0.127309  0.339114  0.267346  0.266231  13.345000  \n",
        "289  0.126417  0.279334  0.301605  0.292643  13.520950  \n",
        "290  0.283835  0.260865  0.298772  0.156527  12.655983  \n",
        "291  0.084914  0.407527  0.265592  0.241967  13.329223  \n",
        "292  0.083712  0.400838  0.299440  0.216009  13.295492  \n",
        "293  0.204681  0.236241  0.395122  0.163956  13.036707  \n",
        "294  0.261426  0.224209  0.360208  0.154157  12.814191  "
       ]
      }
     ],
     "prompt_number": 68
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "css_styling()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<link href='http://fonts.googleapis.com/css?family=EB+Garamond' rel='stylesheet' type='text/css'>\r\n",
        "<link href='http://fonts.googleapis.com/css?family=Alegreya+Sans:100,300,400,500,700,800,900,100italic,300italic,400italic,500italic,700italic,800italic,900italic' rel='stylesheet' type='text/css'>\r\n",
        "<link href='http://fonts.googleapis.com/css?family=Source+Code+Pro:300,400' rel='stylesheet' type='text/css'>\r\n",
        "<style>\r\n",
        "    @font-face {\r\n",
        "        font-family: \"Computer Modern\";\r\n",
        "        src: url('http://mirrors.ctan.org/fonts/cm-unicode/fonts/otf/cmunss.otf');\r\n",
        "    }\r\n",
        "    .code_cell {\r\n",
        "        width: 105ex !important ;\r\n",
        "        margin-bottom: 15px !important;\r\n",
        "    }\r\n",
        "    div.cell {\r\n",
        "        margin-left: auto;\r\n",
        "        margin-right: auto;\r\n",
        "        width: 70%;\r\n",
        "    }    \r\n",
        "    div.cell.selected {\r\n",
        "        border: thin rgba(171, 171, 171, 0.5) dashed;\r\n",
        "    }\r\n",
        "    h1 {\r\n",
        "        font-family: 'Alegreya Sans', sans-serif;\r\n",
        "    }\r\n",
        "    h2 {\r\n",
        "        font-family: 'EB Garamond', serif;\r\n",
        "    }\r\n",
        "    h3 {\r\n",
        "        font-family: 'EB Garamond', serif;\r\n",
        "        margin-top:12px;\r\n",
        "        margin-bottom: 3px;\r\n",
        "    }\r\n",
        "    h4 {\r\n",
        "        font-family: 'EB Garamond', serif;\r\n",
        "    }\r\n",
        "    h5 {\r\n",
        "        font-family: 'Alegreya Sans', sans-serif;\r\n",
        "    }\r\n",
        "    div.text_cell_render {\r\n",
        "        font-family: 'EB Garamond',Computer Modern, \"Helvetica Neue\", Arial, Helvetica, Geneva, sans-serif;\r\n",
        "        line-height: 145%;\r\n",
        "        font-size: 140%;\r\n",
        "    }\r\n",
        "    div.input_area {\r\n",
        "        border-color: rgba(0,0,0,0.10) !important;\r\n",
        "        background: #fafafa;\r\n",
        "    }\r\n",
        "    .CodeMirror {\r\n",
        "            font-family: \"Source Code Pro\";\r\n",
        "            font-size: 90%;\r\n",
        "    }\r\n",
        "    .prompt {\r\n",
        "        display: None;\r\n",
        "    }\r\n",
        "    .output {\r\n",
        "        padding-left: 50px;\r\n",
        "        padding-top: 5px;\r\n",
        "    }\r\n",
        "    .output_wrapper {\r\n",
        "        padding-left: 5px;\r\n",
        "        padding-top: inherit;\r\n",
        "    }\r\n",
        "    div.output_scroll {\r\n",
        "        width: inherit;\r\n",
        "    }\r\n",
        "    .inner_cell {\r\n",
        "        padding-left: 5px;\r\n",
        "    }\r\n",
        "    .text_cell_render h1 {\r\n",
        "        font-weight: 200;\r\n",
        "        font-size: 50pt;\r\n",
        "        line-height: 100%;\r\n",
        "        color:#CD2305;\r\n",
        "        margin-bottom: 0.5em;\r\n",
        "        margin-top: 0.5em;\r\n",
        "        display: block;\r\n",
        "    }\r\n",
        "    .text_cell_render h5 {\r\n",
        "        font-weight: 300;\r\n",
        "        font-size: 16pt;\r\n",
        "        color: #CD2305;\r\n",
        "        font-style: italic;\r\n",
        "        margin-bottom: .5em;\r\n",
        "        margin-top: 0.5em;\r\n",
        "        display: block;\r\n",
        "    }\r\n",
        "    .warning {\r\n",
        "        color: rgb( 240, 20, 20 )\r\n",
        "        }  \r\n",
        "</style>\r\n",
        "<script>\r\n",
        "    MathJax.Hub.Config({\r\n",
        "                        TeX: {\r\n",
        "                           extensions: [\"AMSmath.js\"]\r\n",
        "                           },\r\n",
        "                tex2jax: {\r\n",
        "                    inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\r\n",
        "                    displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\r\n",
        "                },\r\n",
        "                displayAlign: 'center', // Change this to 'center' to center equations.\r\n",
        "                \"HTML-CSS\": {\r\n",
        "                    styles: {'.MathJax_Display': {\"margin\": 4}}\r\n",
        "                }\r\n",
        "        });\r\n",
        "</script>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 70,
       "text": [
        "<IPython.core.display.HTML at 0x10b6456d0>"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}