20250929
08270500
1.0
FALSE
LOW_INCOME_ZIP_CODES_HSD
002
230000.000000
995000.000000
525000.000000
1150000.000000
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot (0.304800)
NAD_1983_HARN_StatePlane_Arizona_Central_FIPS_0202_Feet_Intl
<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_HARN_StatePlane_Arizona_Central_FIPS_0202_Feet_Intl",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",700000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.9166666666667],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",31.0],UNIT["Foot",0.3048],AUTHORITY["EPSG",2868]]</WKT><XOrigin>-17746700</XOrigin><YOrigin>-44067300</YOrigin><XYScale>3048.0000113546898</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808399274476801</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2868</WKID><LatestWKID>2868</LatestWKID></ProjectedCoordinateSystem>
20260109
10204500
20260113
10035200
500000
5000
ItemDescription
Esri ArcGIS 13.5.0.57366
Unemployment Rate by ZIP Codes
1
-113.470155
-110.941510
34.161083
32.434088
Displays the boundaries of ZIP Codes that intersect the City of Phoenix city limits, with an additional column displaying the unemployment rate within each ZIP Code. This dataset is intended for use by City of Phoenix departments to assess the unemployment rate across ZIP Codes.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A representation of the ZIP code boundary for any boundaries that intersect the City of Phoenix city limits. This dataset is a copy of the authoritative ZIP Codes feature class, with an additional column indicating the unemployment rate within each ZIP Code. This unemployment rate is carried over from a American Community Survey (ACS) table consisting of the ZIP Code boundaries with the highest unemployment rates within the City of Phoenix limits. Currently this feature class reflects unemployment rates within the City of Phoenix limits as of January 2026 and should be updated as new ACS tables are released by the Census Bureau.</SPAN></P></DIV></DIV></DIV>
City of Phoenix Information Technology Services (ITS)
ZIP Code
City of Phoenix
COP
Census
Unemployment
Human Services Department
HSD
American Community Survey
ACS
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This Data is subject to the </SPAN><SPAN>Terms of Use </SPAN><SPAN>(</SPAN><A href="https://phoenixopendata.com/pages/terms-of-use" target="_blank" STYLE="text-decoration:underline;"><SPAN>Terms</SPAN></A><SPAN>) that accompany its distribution. You should read and understand Terms before using City Data. By continuing use of the Data, or accessing any materials on the Site, you agree to these Terms, as they may be updated or modified by City at any time in its discretion. If you (Licensee) do not agree to them, do not use or download any material.</SPAN></P></DIV></DIV></DIV>
Enterprise Geodatabase Feature Class
dataset
EPSG
6.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
LOW_INCOME_ZIP_CODES_HSD
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
ZIP_CODE
ZIP Code
String
50
0
0
POSTAL_CITY
Postal City
String
150
0
0
SHAPE
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20260113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