20231217
13312600
1.0
FALSE
EnrichLayer
CensusTract2020
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_California_III_FIPS_0403_Ft_US
<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/3.1.0'><WKT>PROJCS["NAD_1983_2011_StatePlane_California_III_FIPS_0403_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",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",-120.5],PARAMETER["Standard_Parallel_1",37.06666666666667],PARAMETER["Standard_Parallel_2",38.43333333333333],PARAMETER["Latitude_Of_Origin",36.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6420]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>3048.0060960121928</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>103005</WKID><LatestWKID>6420</LatestWKID></ProjectedCoordinateSystem>
20231214
07542800
20231214
07542800
None
Created with Business Analyst Pro - EnrichLayer
publication date
Business Analyst Pro
Unknown
Esri ArcGIS 13.1.0.41833
CensusTract2020
File Geodatabase Feature Class
dataset
EPSG
8.2.10(10.3.1)
0
Simple
FALSE
0
TRUE
FALSE
CensusTract2020
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
GEOID
GEOID
String
11
0
0
NAMELSAD
NAMELSAD
String
20
0
0
ALAND
ALAND
Double
8
0
0
AWATER
AWATER
Double
8
0
0
INTPTLAT
INTPTLAT
String
11
0
0
INTPTLON
INTPTLON
String
12
0
0
aggregationMethod
aggregationMethod
String
256
0
0
HasData
HasData
Integer
4
0
0
ORIGINAL_OID
ORIGINAL_OID
Integer
4
0
0
sourceCountry
sourceCountry
String
256
0
0
apportionmentConfidence
apportionmentConfidence
Double
8
0
0
populationToPolygonSizeRating
populationToPolygonSizeRating
Double
8
0
0
populationtotals_TOTPOP_CY
2022 Total Population
Double
8
0
0
raceandhispanicorigin_RACEBASEC
2022 Population by Race Base
Double
8
0
0
populationtotals_HHPOP_CY
2022 Household Population
Double
8
0
0
populationtotals_FAMPOP_CY
2022 Family Population
Double
8
0
0
populationtotals_POPDENS_CY
2022 Population Density
Double
8
0
0
hispanicorigin_HISPPOP_CY
2022 Hispanic Population
Double
8
0
0
hispanicorigin_HISPWHT_CY
2022 Hispanic White Pop
Double
8
0
0
hispanicorigin_HISPBLK_CY
2022 Hispanic Black Pop
Double
8
0
0
hispanicorigin_HISPASN_CY
2022 Hispanic Asian Pop
Double
8
0
0
AtRisk_GQPOP_CY
2022 Group Quarters Population
Double
8
0
0
AtRisk_TOTHH_CY
2022 Total Households
Double
8
0
0
AtRisk_AVGHHSZ_CY
2022 Average Household Size
Double
8
0
0
AtRisk_AVGHINC_CY
2022 Average Household Income
Double
8
0
0
raceandhispanicorigin_WHITE_CY
2022 White Population
Double
8
0
0
raceandhispanicorigin_BLACK_CY
2022 Black Population
Double
8
0
0
raceandhispanicorigin_AMERIND_C
2022 American Indian Population
Double
8
0
0
raceandhispanicorigin_ASIAN_CY
2022 Asian Population
Double
8
0
0
raceandhispanicorigin_PACIFIC_C
2022 Pacific Islander Population
Double
8
0
0
raceandhispanicorigin_OTHRACE_C
2022 Other Race Population
Double
8
0
0
raceandhispanicorigin_RACE2UP_C
2022 Population of 2+ Races
Double
8
0
0
raceandhispanicorigin_DIVINDX_C
2022 Diversity Index
Double
8
0
0
crime_CRMCYTOTC
2022 Total Crime Index
Double
8
0
0
crime_CRMCYPERC
2022 Personal Crime Index
Double
8
0
0
crime_CRMCYPROC
2022 Property Crime Index
Double
8
0
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GlobalID
GlobalID
GlobalID
38
0
0
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.
20231214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