20230919
12132700
1.0
FALSE
EJ_Screen_3
002
file://\\ad.sannet.gov\Dfs\PLN-Shared\GIS\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb
Local Area Network
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_VI_FIPS_0406_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS["NAD_1983_StatePlane_California_VI_FIPS_0406_Feet",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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-116.25],PARAMETER["Standard_Parallel_1",32.78333333333333],PARAMETER["Standard_Parallel_2",33.88333333333333],PARAMETER["Latitude_Of_Origin",32.16666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2230]]</WKT><XOrigin>-118608900</XOrigin><YOrigin>-91259500</YOrigin><XYScale>35979706.307677768</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102646</WKID><LatestWKID>2230</LatestWKID></ProjectedCoordinateSystem>
Dissolve "CEJST 1.0" "L:\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb\CEJST1_Dissolve" # # MULTI_PART DISSOLVE_LINES
Append 'L:\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb\CalEnviro_Dissolve';'L:\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb\ClimateChange_Dissolve';'L:\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb\FoodApartheid_Dissolve' "L:\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb\CEJST1_Dissolve" "Use the field map to reconcile field differences" # # #
Dissolve CEJST1_Dissolve "L:\GIS\PGIS\General_Plan\Environmental Justice\Environmental Justice\Default.gdb\EJ_Screen_3" # # MULTI_PART DISSOLVE_LINES
20230919
12313100
20240222
13355400
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.4.32739
Draft Environmental Justice Communities
The Environmental Justice Screen considers community input and data sets available to help identify communities most impacted and negatively affected by environmental burdens and associated health risks - collectively referred to as Environmental Justice Communities.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Environmental Justice Screen considers community input and data sets available to help identify communities most impacted and negatively affected by environmental burdens and associated health risks - collectively referred to as Environmental Justice Communities. </SPAN></P><P><SPAN>The Planning Department conducted an initial Environmental Justice Screen to inform the identification of Environmental Justice Communities. The Environmental Justice Screen builds on community input received across past efforts to include local data sets and priorities while also meeting state requirements. Feedback collected during outreach and engagement has served to expand upon findings from the data analyzed. </SPAN></P><P><SPAN>The screen is made up of the following components:</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>CEST 1.0 + Climate Change & Resiliency + Food Apartheid Outcomes + Cal Enviro Screen + Census Tract 34.01 </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>AND</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Within City of San Diego Municipal boundaries (tracts straddling this border included) </SPAN></SPAN></P><P><SPAN /></P><P><SPAN>To reflect input from community members and better capture areas impacted by compounded health risks, census tract #34.01 is included in the Environmental Justice Communities Map. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Attributes of census tract #34.01: </SPAN></P><P><SPAN STYLE="text-decoration:underline;">CalEnviroScreen</SPAN><SPAN> </SPAN></P><P><SPAN>Top 30% most affected by several sources of pollution and where people are especially vulnerable to pollution effects. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Food Apartheid </SPAN></P><P><SPAN>While SNAP Usage is high on this census tract, obesity and diabetes in adults were found to be moderate, which excluded the census tract from the initial EJ Screen. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">SNAP Usage </SPAN></P><P><SPAN>10.6%-17.5% of households receive SNAP or public assistance income. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Obesity in Adults</SPAN></P><P><SPAN>24.4%-27.8% of adults are obese by crude prevalence. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Diabetes in Adults</SPAN></P><P><SPAN>9.4%-10.8% of adults are diabetic by crude prevalence. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Climate and Resilience </SPAN></P><P><SPAN>Energy Cost Burden is high while tree coverage is moderate, which is why it was excluded from the original EJ Screen. However, while this area has open space, it is hard to access, and freeways as well as collector streets traverse the area, which are not very pedestrian-friendly. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Cost Energy Burden </SPAN></P><P><SPAN>Energy cost burden is ranked High</SPAN></P><P><SPAN STYLE="text-decoration:underline;">Tree Canopy</SPAN></P><P><SPAN>Tree canopy cover (2014) is categorized as moderate</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Environmental Justice
Planning
City Planning
EJ
EJ Element
City Planning Department City of San Diego, Obesity and Diabetes - PLACES, Local Data for Better Health, Centers for Disease Control and Prevention, 2020, SanGIS/SANDAG GIS Data Warehouse, 2021, SNAP - American Community Survey, 2015-2019, US Census; SanGIS/SANDAG GIS Data Warehouse, 2021, Tree Canopy and Energy Cost Burden - City of San Diego Climate Equity Index (CEI), 2021; SanGIS/SANDAG GIS Data Warehouse, 2021, Spring 2021 San Diego Urban Development NASA DEVELOP Team, Climate and Economic Justice Screening Tool (CEJST) Version 1.0, US Census Bureau 2022
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This version is currently in draft form. </SPAN></P></DIV></DIV></DIV>
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
EJ_Screen_3
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240222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