20260402
04533100
1.0
FALSE
CITY.CMTY_CTCAC
002
6150826.837659
6613424.684771
1775358.693362
2129700.364926
1
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/3.5.0'><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>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102646</WKID><LatestWKID>2230</LatestWKID></ProjectedCoordinateSystem>
20260317
23021600
20260317
23021600
150000000
5000
RGDW_Publication
dataset
20260317
Enterprise Geodatabase Feature Class
Fiona May
California Tax Credit Allocation Committee
State Treasurer and Chair
901 P Street, Suite 213A
Sacramento
CA
95814
US
(916) 654-6340
(916) 654-6033
https://www.treasurer.ca.gov/ctcac/contacts.asp
Fiona May
SanGIS downloads data annually and processes it for JPA members only. In SDE only. Not for Regional Data Warehouse
Esri ArcGIS 13.5.5.57366
CITY.CMTY_CTCAC
vector digital data
1
-117.597776
-116.080196
33.511389
32.530313
Adopted December 2025
Data Downloaded 3/12/2026
2025-12-31T00:00:00
CTAC/HCD 2026 Opportunity Area Maps adopted December 2025
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>California Tax Credit Allocation Committee/Department of Housing and Community Development (CTAC/HCD) 2026 Opportunity and Neighborhood Change Area Maps adopted December 2025.</SPAN></P><P><SPAN>Statewide dataset downloaded from https://www.treasurer.ca.gov/ctcac/opportunity.asp. Boundaries located within San Diego County were selected and projected to NAD83 State Plane Projection. </SPAN></P><P><SPAN>The mapping tools are intended to advance the state’s affirmatively furthering fair housing (AFFH) objectives. AFFH means combating discrimination and taking meaningful actions that overcome patterns of segregation and foster inclusive communities free from barriers that restrict access to opportunity based on protected characteristics.</SPAN></P><P><SPAN>The opportunity map identifies areas in every region of the state whose characteristics have been shown by research to be associated with positive economic, educational, and health outcomes for low-income families—particularly long-term outcomes for children. As such, the map is intended to inform efforts to advance the AFFH objective of increasing access to opportunity.</SPAN></P><P><SPAN>The high-poverty and segregated areas overlay identifies places that meet standards for both high or concentrated poverty rates and racial segregation. The use of this overlay is grounded in two guiding AFFH objectives: to avoid further segregation and poverty concentration, and to increase access to opportunity for low-income families. </SPAN></P><P><SPAN>Further details available at https://www.treasurer.ca.gov/ctcac/opportunity.asp</SPAN></P><P><SPAN>Not all fields were included in this dataset. The State website has additional data that can be downloaded/joined if needed. </SPAN></P></DIV></DIV></DIV>
California Office of the State Treasurer, Department of Housing and Community Development
Opportunity Maps
San Diego
California Tax Credit Allocation Committee
CTCAC
2026
California Tax Credit Allocation Committee, CTCAC, Opportunity Map
San Diego County
Fiona May
California Tax Credit Allocation Committee
State Treasurer and Chair
901 P Street, Suite 213A
Sacramento
CA
95814
US
(916) 654-6340
(916) 654-6033
https://www.treasurer.ca.gov/ctcac/contacts.asp
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>San Diego processed data for use by JPA Members only. Not for publication to RDW</SPAN></P><P><SPAN>Not all fields were included in this dataset. The State website has additional data that can be downloaded/joined if needed. </SPAN></P></DIV></DIV></DIV>
0
EPSG
5.3(9.0.0)
CITY.CMTY_CTCAC
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
fips
fips
String
80
0
0
Census Tract
CTCAC
fips_bg
fips_bg
String
80
0
0
Field not used
SanGIS
cnty_name
cnty_name
String
80
0
0
County Name
CTCAC
region
region
String
80
0
0
Region (San Diego Region)
SanGIS
oppcat
oppcat
String
80
0
0
Opportunity Category:
9 or 8 = "Highest Resource"
7 or 6 = "High Resource"
5 or 4 = "Moderate Resource"
3 or lower = "Low Resource"
CTCAC
countyd
countyd
String
80
0
0
County FIPS Code. Archived field, not included in 2026 CTAC
SanGIS
ecn_dmn
ecn_dmn
Double
8
38
8
Economic Score as a decimal
Archived field, data not included in 2024 CTCAC
CTCAC/SanGIS
env_hl_
env_hl_
Double
8
38
8
Environmental Score as a decimal
Archived field, data not included in 2024 CTCAC
CTCAC/SanGIS
ed_domn
ed_domn
Double
8
38
8
Education Score as a decimal
Archived field, data not included in 2024 CTCAC
CTCAC/SanGIS
index_
index
Double
8
38
8
Archived field, data not included in 2024 CTCAC
SanGIS
pov_seg_flag
pov_seg_flag
Double
8
38
8
The high-poverty and segregated overlay identifies areas that meet standards for both high or “concentrated” poverty rates (30% or more of the population below the federal poverty line) and racial segregation (overrepresentation of individual non-white racial/ethnic groups and/or people of color as a whole relative to the county). The use of this overlay is grounded in two guiding AFFH objectives: to avoid further segregation and poverty concentration, and to increase access to opportunity for low-income families. Values of ‘1’ are considered High-Poverty & Segregated Areas.
City Planning
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
Data downloaded from https://www.treasurer.ca.gov/ctcac/opportunity.asp
See field descriptions for details
Not all fields were included in this dataset. The State website has additional data that can be downloaded/joined if needed.
Simple
FALSE
0
TRUE
FALSE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