restart equity git

assembly_district_shapefile/California_State_Assembly_Districts_Map_2020.cpg

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+UTF-8

assembly_district_shapefile/California_State_Assembly_Districts_Map_2020.prj

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+PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]]

assembly_district_shapefile/California_State_Assembly_Districts_Map_2020.xml

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+<?xml version="1.0" encoding="UTF-8"?><metadata>
+    <idinfo>
+        <citation>
+            <citeinfo>
+                <title>California State Assembly Districts Map 2020</title>
+                <onlink>https://services3.arcgis.com/uknczv4rpevve42E/arcgis/rest/services/California_State_Assembly_Districts_Map_2020/FeatureServer</onlink>
+            </citeinfo>
+        </citation>
+        <descript>
+            <abstract>Final approved map by the 2020 California Citizens Redistricting Commission for the California State Assembly; the authoritative and official delineations of the California State Assembly drawn during the 2020 redistricting cycle. The Citizens Redistricting Commission for the State of California has created statewide district maps for the State Assembly, State Senate, State Board of Equalization, and United States Congress in accordance, with the provisions of Article XXI of the California Constitution. The Commission has approved the final maps and certified them to the Secretary of State.Line drawing criteria included population equality as required by the U.S. Constitution, the Federal Voting Rights Act, geographic contiguity, geographic integrity, geographic compactness, and nesting. Geography was defined by U.S. Census Block geometry.80 Assembly districts have an ideal population of around 500,000 people each, and in consideration of population equality, the Commission chose to limit the population deviation range to as close to zero percent as practicable. With these districts, the Commission was able to respect many local communities of interest and group similar communities; however, it was more difficult to keep densely populated counties, cities, neighborhoods, and larger communities of interest whole due to the district size and correspondingly smaller number allowable in the population deviation percentage.</abstract>
+            <purpose>Final approved map by the 2020 California Citizens Redistricting Commission for the California State Assembly.</purpose>
+        </descript>
+        <keywords>
+            <theme>
+                <themekt>None</themekt>
+                <themekey>California State Assembly Districts Map 2020</themekey>
+            </theme>
+        </keywords>
+        <accconst>Other Constraints</accconst>
+        <useconst>None</useconst>
+        <datacred>2020 California Citizens Redistricting Commission (CRC)</datacred>
+    </idinfo>
+    <eainfo>
+        <detailed>
+            <attr>
+                <attrlabl>AREA</attrlabl>
+                <attrdef>Area of the district in sq miles</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>DISTRICT</attrlabl>
+                <attrdef>Assigned District number</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>MEMBERS</attrlabl>
+                <attrdef>Maptitude-generated field; allows user to assign member to district</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>LOCKED</attrlabl>
+                <attrdef>Maptitude-generated field; Locked geography</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>NAME</attrlabl>
+                <attrdef>District Name</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>POPULATION</attrlabl>
+                <attrdef>Total Persons</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>CVAP_19</attrlabl>
+                <attrdef>Citizens Voting Age Population, as estimated by the American Communities Survey 2019</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>HSP_CVAP_1</attrlabl>
+                <attrdef>Citizen Voting Age Population: Hispanic or Latino</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>DOJ_NH_BLK</attrlabl>
+                <attrdef>Race (non-Hispanic): DOJ (Federal Register 1/18/2001) Summary: Black (including Black and White)|2020 PL94-171:P0020006 + P0020013</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>DOJ_NH_ASN</attrlabl>
+                <attrdef>Race (non-Hispanic): DOJ (Federal Register 1/18/2001) Summary: Asian (including Asian and White)|2020 PL94-171:P0020008 + P0020015</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>NH_WHT_CVA</attrlabl>
+                <attrdef>Citizen Voting Age Population: Not Hispanic or Latino: White Alone</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>IDEAL_VALU</attrlabl>
+                <attrdef>Ideal district population (total population/number of total districts)</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>DEVIATION</attrlabl>
+                <attrdef>Deviation from ideal district size (in number of persons)</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>F_DEVIATIO</attrlabl>
+                <attrdef>% Deviation (district population/ideal district size)</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>F_CVAP_19</attrlabl>
+                <attrdef>% Citizen Voting Age Population: Total</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>F_HSP_CVAP</attrlabl>
+                <attrdef>% Citizen Voting Age Population: Hispanic or Latino</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>F_DOJ_NH_B</attrlabl>
+                <attrdef>% Citizen Voting Age Population: Not Hispanic or Latino: Black or African American Alone</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>F_DOJ_NH_A</attrlabl>
+                <attrdef>% Citizen Voting Age Population: Not Hispanic or Latino: Asian Alone</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>F_NH_WHT_C</attrlabl>
+                <attrdef>% Citizen Voting Age Population: Not Hispanic or Latino: White Alone</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>DISTRICT_N</attrlabl>
+                <attrdef>District Number</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+            <attr>
+                <attrlabl>DISTRICT_L</attrlabl>
+                <attrdef>District Label: displays district number and % deviation</attrdef>
+                <attrdefs>2020 California Citizens Redistricting Commission (CRC)</attrdefs>
+            </attr>
+        </detailed>
+    </eainfo>
+    <metainfo>
+        <metd>20230214</metd>
+        <metc>
+            <cntinfo>
+                <!--no contact person or organization name available-->
+            </cntinfo>
+        </metc>
+        <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
+        <metstdv>FGDC-STD-001-1998</metstdv>
+        <mettc>local time</mettc>
+    </metainfo>
+</metadata>

california_enviroscreen/calif_enviroscreen_shape/CES4 Final Shapefile.cpg

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+UTF-8

california_enviroscreen/calif_enviroscreen_shape/CES4 Final Shapefile.prj

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+PROJCS["NAD_1983_California_Teale_Albers",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",-4000000.0],PARAMETER["Central_Meridian",-120.0],PARAMETER["Standard_Parallel_1",34.0],PARAMETER["Standard_Parallel_2",40.5],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]

california_enviroscreen/enviroscreen_to_postgis.ipynb

@@ -0,0 +1,554 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## read california enviroscreen data gbd file and save to postgis\n",
+    "## 2024-09-22"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## set directory\n",
+    "import os\n",
+    "os.chdir('/home/dadams/Repos/california_equity_git/')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import libraries\n",
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "from sqlalchemy import create_engine\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "\n",
+    "# Read in data\n",
+    "data = gpd.read_file('california_enviroscreen/calenviroscreen40gdb_F_2021.gdb')\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tract</th>\n",
+       "      <th>ZIP</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>CIscore</th>\n",
+       "      <th>CIscoreP</th>\n",
+       "      <th>Ozone</th>\n",
+       "      <th>Ozone_Pctl</th>\n",
+       "      <th>PM2_5</th>\n",
+       "      <th>PM2_5_Pctl</th>\n",
+       "      <th>Diesel_PM</th>\n",
+       "      <th>...</th>\n",
+       "      <th>African_American</th>\n",
+       "      <th>Native_American</th>\n",
+       "      <th>Asian_American</th>\n",
+       "      <th>Pacific_Islander</th>\n",
+       "      <th>Other_Multiple</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>County</th>\n",
+       "      <th>ApproxLoc</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93454</td>\n",
+       "      <td>4495</td>\n",
+       "      <td>36.019653</td>\n",
+       "      <td>69.162885</td>\n",
+       "      <td>0.034190</td>\n",
+       "      <td>10.566273</td>\n",
+       "      <td>7.567724</td>\n",
+       "      <td>10.031114</td>\n",
+       "      <td>0.154573</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.4004</td>\n",
+       "      <td>0.2670</td>\n",
+       "      <td>8.2091</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.3126</td>\n",
+       "      <td>6999.357622</td>\n",
+       "      <td>2.847611e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Santa Maria</td>\n",
+       "      <td>MULTIPOLYGON (((-39795.070 -341919.191, -38126...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93455</td>\n",
+       "      <td>13173</td>\n",
+       "      <td>37.030667</td>\n",
+       "      <td>70.637922</td>\n",
+       "      <td>0.035217</td>\n",
+       "      <td>11.561917</td>\n",
+       "      <td>7.624775</td>\n",
+       "      <td>10.454263</td>\n",
+       "      <td>0.106088</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.5051</td>\n",
+       "      <td>0.0000</td>\n",
+       "      <td>4.6990</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.9489</td>\n",
+       "      <td>19100.578003</td>\n",
+       "      <td>1.635292e+07</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Santa Maria</td>\n",
+       "      <td>MULTIPOLYGON (((-39795.070 -341919.191, -39803...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93454</td>\n",
+       "      <td>2398</td>\n",
+       "      <td>31.213140</td>\n",
+       "      <td>61.069087</td>\n",
+       "      <td>0.034190</td>\n",
+       "      <td>10.566273</td>\n",
+       "      <td>7.548835</td>\n",
+       "      <td>9.931549</td>\n",
+       "      <td>0.190474</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.9591</td>\n",
+       "      <td>0.0000</td>\n",
+       "      <td>0.5421</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.1685</td>\n",
+       "      <td>4970.985933</td>\n",
+       "      <td>1.352330e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Santa Maria</td>\n",
+       "      <td>MULTIPOLYGON (((-38115.747 -341130.248, -38126...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93455</td>\n",
+       "      <td>4496</td>\n",
+       "      <td>6.639331</td>\n",
+       "      <td>5.988401</td>\n",
+       "      <td>0.036244</td>\n",
+       "      <td>13.615432</td>\n",
+       "      <td>7.660570</td>\n",
+       "      <td>10.653391</td>\n",
+       "      <td>0.091384</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.9342</td>\n",
+       "      <td>0.7117</td>\n",
+       "      <td>3.6699</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.5356</td>\n",
+       "      <td>6558.956142</td>\n",
+       "      <td>2.417717e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Orcutt</td>\n",
+       "      <td>MULTIPOLYGON (((-37341.662 -348530.437, -37252...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93455</td>\n",
+       "      <td>4008</td>\n",
+       "      <td>14.022852</td>\n",
+       "      <td>23.121533</td>\n",
+       "      <td>0.036244</td>\n",
+       "      <td>13.615432</td>\n",
+       "      <td>7.663210</td>\n",
+       "      <td>10.690728</td>\n",
+       "      <td>0.050976</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.6986</td>\n",
+       "      <td>1.4721</td>\n",
+       "      <td>3.2685</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.3723</td>\n",
+       "      <td>6570.368642</td>\n",
+       "      <td>2.608422e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Orcutt</td>\n",
+       "      <td>MULTIPOLYGON (((-39465.107 -348499.262, -38244...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 68 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Tract    ZIP  Population    CIscore   CIscoreP     Ozone  \\\n",
+       "0  6.083002e+09  93454        4495  36.019653  69.162885  0.034190   \n",
+       "1  6.083002e+09  93455       13173  37.030667  70.637922  0.035217   \n",
+       "2  6.083002e+09  93454        2398  31.213140  61.069087  0.034190   \n",
+       "3  6.083002e+09  93455        4496   6.639331   5.988401  0.036244   \n",
+       "4  6.083002e+09  93455        4008  14.022852  23.121533  0.036244   \n",
+       "\n",
+       "   Ozone_Pctl     PM2_5  PM2_5_Pctl  Diesel_PM  ...  African_American  \\\n",
+       "0   10.566273  7.567724   10.031114   0.154573  ...            0.4004   \n",
+       "1   11.561917  7.624775   10.454263   0.106088  ...            2.5051   \n",
+       "2   10.566273  7.548835    9.931549   0.190474  ...            0.9591   \n",
+       "3   13.615432  7.660570   10.653391   0.091384  ...            0.9342   \n",
+       "4   13.615432  7.663210   10.690728   0.050976  ...            0.6986   \n",
+       "\n",
+       "   Native_American  Asian_American  Pacific_Islander  Other_Multiple  \\\n",
+       "0           0.2670          8.2091               0.0          1.3126   \n",
+       "1           0.0000          4.6990               0.0          0.9489   \n",
+       "2           0.0000          0.5421               0.0          2.1685   \n",
+       "3           0.7117          3.6699               0.0          2.5356   \n",
+       "4           1.4721          3.2685               0.0          1.3723   \n",
+       "\n",
+       "   Shape_Length    Shape_Area         County    ApproxLoc  \\\n",
+       "0   6999.357622  2.847611e+06  Santa Barbara  Santa Maria   \n",
+       "1  19100.578003  1.635292e+07  Santa Barbara  Santa Maria   \n",
+       "2   4970.985933  1.352330e+06  Santa Barbara  Santa Maria   \n",
+       "3   6558.956142  2.417717e+06  Santa Barbara       Orcutt   \n",
+       "4   6570.368642  2.608422e+06  Santa Barbara       Orcutt   \n",
+       "\n",
+       "                                            geometry  \n",
+       "0  MULTIPOLYGON (((-39795.070 -341919.191, -38126...  \n",
+       "1  MULTIPOLYGON (((-39795.070 -341919.191, -39803...  \n",
+       "2  MULTIPOLYGON (((-38115.747 -341130.248, -38126...  \n",
+       "3  MULTIPOLYGON (((-37341.662 -348530.437, -37252...  \n",
+       "4  MULTIPOLYGON (((-39465.107 -348499.262, -38244...  \n",
+       "\n",
+       "[5 rows x 68 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# show data\n",
+    "data.head()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sqlalchemy import create_engine\n",
+    "\n",
+    "# Connect to the database\n",
+    "engine = create_engine('postgresql://postgres:MandyLinkToby3@localhost:5432/calif_equity')\n",
+    "\n",
+    "# Save the GeoDataFrame as a PostGIS table\n",
+    "data.to_postgis('calenviroscreen', con=engine, if_exists='replace', index=False)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tract</th>\n",
+       "      <th>ZIP</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>CIscore</th>\n",
+       "      <th>CIscoreP</th>\n",
+       "      <th>Ozone</th>\n",
+       "      <th>Ozone_Pctl</th>\n",
+       "      <th>PM2_5</th>\n",
+       "      <th>PM2_5_Pctl</th>\n",
+       "      <th>Diesel_PM</th>\n",
+       "      <th>...</th>\n",
+       "      <th>African_American</th>\n",
+       "      <th>Native_American</th>\n",
+       "      <th>Asian_American</th>\n",
+       "      <th>Pacific_Islander</th>\n",
+       "      <th>Other_Multiple</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>County</th>\n",
+       "      <th>ApproxLoc</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93454</td>\n",
+       "      <td>4495</td>\n",
+       "      <td>36.019653</td>\n",
+       "      <td>69.162885</td>\n",
+       "      <td>0.034190</td>\n",
+       "      <td>10.566273</td>\n",
+       "      <td>7.567724</td>\n",
+       "      <td>10.031114</td>\n",
+       "      <td>0.154573</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.4004</td>\n",
+       "      <td>0.2670</td>\n",
+       "      <td>8.2091</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.3126</td>\n",
+       "      <td>6999.357622</td>\n",
+       "      <td>2.847611e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Santa Maria</td>\n",
+       "      <td>0106000020EE0C00000100000001030000000100000009...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93455</td>\n",
+       "      <td>13173</td>\n",
+       "      <td>37.030667</td>\n",
+       "      <td>70.637922</td>\n",
+       "      <td>0.035217</td>\n",
+       "      <td>11.561917</td>\n",
+       "      <td>7.624775</td>\n",
+       "      <td>10.454263</td>\n",
+       "      <td>0.106088</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.5051</td>\n",
+       "      <td>0.0000</td>\n",
+       "      <td>4.6990</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.9489</td>\n",
+       "      <td>19100.578003</td>\n",
+       "      <td>1.635292e+07</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Santa Maria</td>\n",
+       "      <td>0106000020EE0C00000100000001030000000100000013...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93454</td>\n",
+       "      <td>2398</td>\n",
+       "      <td>31.213140</td>\n",
+       "      <td>61.069087</td>\n",
+       "      <td>0.034190</td>\n",
+       "      <td>10.566273</td>\n",
+       "      <td>7.548835</td>\n",
+       "      <td>9.931549</td>\n",
+       "      <td>0.190474</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.9591</td>\n",
+       "      <td>0.0000</td>\n",
+       "      <td>0.5421</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.1685</td>\n",
+       "      <td>4970.985933</td>\n",
+       "      <td>1.352330e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Santa Maria</td>\n",
+       "      <td>0106000020EE0C00000100000001030000000100000006...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93455</td>\n",
+       "      <td>4496</td>\n",
+       "      <td>6.639331</td>\n",
+       "      <td>5.988401</td>\n",
+       "      <td>0.036244</td>\n",
+       "      <td>13.615432</td>\n",
+       "      <td>7.660570</td>\n",
+       "      <td>10.653391</td>\n",
+       "      <td>0.091384</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.9342</td>\n",
+       "      <td>0.7117</td>\n",
+       "      <td>3.6699</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.5356</td>\n",
+       "      <td>6558.956142</td>\n",
+       "      <td>2.417717e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Orcutt</td>\n",
+       "      <td>0106000020EE0C0000010000000103000000010000000D...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6.083002e+09</td>\n",
+       "      <td>93455</td>\n",
+       "      <td>4008</td>\n",
+       "      <td>14.022852</td>\n",
+       "      <td>23.121533</td>\n",
+       "      <td>0.036244</td>\n",
+       "      <td>13.615432</td>\n",
+       "      <td>7.663210</td>\n",
+       "      <td>10.690728</td>\n",
+       "      <td>0.050976</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.6986</td>\n",
+       "      <td>1.4721</td>\n",
+       "      <td>3.2685</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.3723</td>\n",
+       "      <td>6570.368642</td>\n",
+       "      <td>2.608422e+06</td>\n",
+       "      <td>Santa Barbara</td>\n",
+       "      <td>Orcutt</td>\n",
+       "      <td>0106000020EE0C00000100000001030000000100000007...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 68 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Tract    ZIP  Population    CIscore   CIscoreP     Ozone  \\\n",
+       "0  6.083002e+09  93454        4495  36.019653  69.162885  0.034190   \n",
+       "1  6.083002e+09  93455       13173  37.030667  70.637922  0.035217   \n",
+       "2  6.083002e+09  93454        2398  31.213140  61.069087  0.034190   \n",
+       "3  6.083002e+09  93455        4496   6.639331   5.988401  0.036244   \n",
+       "4  6.083002e+09  93455        4008  14.022852  23.121533  0.036244   \n",
+       "\n",
+       "   Ozone_Pctl     PM2_5  PM2_5_Pctl  Diesel_PM  ...  African_American  \\\n",
+       "0   10.566273  7.567724   10.031114   0.154573  ...            0.4004   \n",
+       "1   11.561917  7.624775   10.454263   0.106088  ...            2.5051   \n",
+       "2   10.566273  7.548835    9.931549   0.190474  ...            0.9591   \n",
+       "3   13.615432  7.660570   10.653391   0.091384  ...            0.9342   \n",
+       "4   13.615432  7.663210   10.690728   0.050976  ...            0.6986   \n",
+       "\n",
+       "   Native_American  Asian_American  Pacific_Islander  Other_Multiple  \\\n",
+       "0           0.2670          8.2091               0.0          1.3126   \n",
+       "1           0.0000          4.6990               0.0          0.9489   \n",
+       "2           0.0000          0.5421               0.0          2.1685   \n",
+       "3           0.7117          3.6699               0.0          2.5356   \n",
+       "4           1.4721          3.2685               0.0          1.3723   \n",
+       "\n",
+       "   Shape_Length    Shape_Area         County    ApproxLoc  \\\n",
+       "0   6999.357622  2.847611e+06  Santa Barbara  Santa Maria   \n",
+       "1  19100.578003  1.635292e+07  Santa Barbara  Santa Maria   \n",
+       "2   4970.985933  1.352330e+06  Santa Barbara  Santa Maria   \n",
+       "3   6558.956142  2.417717e+06  Santa Barbara       Orcutt   \n",
+       "4   6570.368642  2.608422e+06  Santa Barbara       Orcutt   \n",
+       "\n",
+       "                                            geometry  \n",
+       "0  0106000020EE0C00000100000001030000000100000009...  \n",
+       "1  0106000020EE0C00000100000001030000000100000013...  \n",
+       "2  0106000020EE0C00000100000001030000000100000006...  \n",
+       "3  0106000020EE0C0000010000000103000000010000000D...  \n",
+       "4  0106000020EE0C00000100000001030000000100000007...  \n",
+       "\n",
+       "[5 rows x 68 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# verify data\n",
+    "sql = 'SELECT * FROM calenviroscreen LIMIT 5;'\n",
+    "pd.read_sql(sql, engine)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# close connection\n",
+    "engine.dispose()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "spatial_modeling",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}