20220314
09080700
1.0
FALSE
Race
002
0.000
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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>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],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
20220428
11065800
20220428
11065800
Esri ArcGIS 12.9.2.32739
Race
Rockdale
2020 Census
Race in Rockdale County
File Geodatabase Feature Class
0.000
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Race
Feature Class
0
OBJECTID_1
OBJECTID_1
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.
STATEFP
STATEFP
String
2
0
0
COUNTYFP
COUNTYFP
String
3
0
0
TRACTCE
TRACTCE
String
6
0
0
BLKGRPCE
BLKGRPCE
String
1
0
0
GEOID
GEOID
String
12
0
0
NAMELSAD
NAMELSAD
String
13
0
0
MTFCC
MTFCC
String
5
0
0
FUNCSTAT
FUNCSTAT
String
1
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
Estimate__Total_
Estimate__Total:
Double
8
0
0
Estimate__Total___White_alone
White alone
Double
8
0
0
Estimate__Total___Black_or_Afri
Black_ AfricanAmer_alone
Double
8
0
0
Estimate__Total___American_Indi
AmerIndianandAlaska Nat_alone
Double
8
0
0
Estimate__Total___Asian_alone
Asian_alone
Double
8
0
0
Estimate__Total___Native_Hawaii
Native Hawaiian_OtherPacificIslander_alo
Double
8
0
0
Estimate__Total___Some_other_ra
OtherRace_Alone
Double
8
0
0
Estimate__Total___Two_or_more_r
TwoOrMoreRaces
Double
8
0
0
Estimate__Total___Two_or_more_1
Two or more races_Two races including Some o
Double
8
0
0
Estimate__Total___Two_or_more_2
Two or more races:__Two races excluding Some o
Double
8
0
0
id
id
String
255
0
0
Geographic_Area_Name
Geographic Area Name
String
255
0
0
GEOID_1
GEOID
String
255
0
0
ObjectID
ObjectID
Integer
4
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.
20220428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