20250317
15532700
1.0
FALSE
BlockGroups_Clip
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20250317
15532700
20250317
15532700
Esri ArcGIS 13.1.0.41833
BlockGroups_Clip
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
BlockGroups_Clip
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.
STATEFP20
STATEFP20
String
2
0
0
COUNTYFP20
COUNTYFP20
String
3
0
0
TRACTCE20
TRACTCE20
String
6
0
0
BLKGRPCE20
BLKGRPCE20
String
1
0
0
GEOID20
GEOID20
String
12
0
0
NAMELSAD20
NAMELSAD20
String
13
0
0
MTFCC20
MTFCC20
String
5
0
0
FUNCSTAT20
FUNCSTAT20
String
1
0
0
ALAND20
ALAND20
Double
8
0
0
AWATER20
AWATER20
Double
8
0
0
INTPTLAT20
INTPTLAT20
String
11
0
0
INTPTLON20
INTPTLON20
String
12
0
0
Geography
Geography
String
255
0
0
GEOID
GEOID
String
255
0
0
Geographic_Area_Name
Geographic Area Name
String
255
0
0
Estimate__Total_
Estimate__Total:
Double
8
0
0
Estimate__Total___Owner_occupie
Estimate__Total:__Owner occupied:
Double
8
0
0
Estimate__Total___Owner_occup_1
Estimate__Total:__Owner occupied:__No vehicle available
Double
8
0
0
Estimate__Total___Owner_occup_2
Estimate__Total:__Owner occupied:__1 vehicle available
Double
8
0
0
Estimate__Total___Owner_occup_3
Estimate__Total:__Owner occupied:__2 vehicles available
Double
8
0
0
Estimate__Total___Owner_occup_4
Estimate__Total:__Owner occupied:__3 vehicles available
Double
8
0
0
Estimate__Total___Owner_occup_5
Estimate__Total:__Owner occupied:__4 vehicles available
Double
8
0
0
Estimate__Total___Owner_occup_6
Estimate__Total:__Owner occupied:__5 or more vehicles available
Double
8
0
0
Estimate__Total___Renter_occupi
Estimate__Total:__Renter occupied:
Double
8
0
0
Estimate__Total___Renter_occu_1
Estimate__Total:__Renter occupied:__No vehicle available
Double
8
0
0
Estimate__Total___Renter_occu_2
Estimate__Total:__Renter occupied:__1 vehicle available
Double
8
0
0
Estimate__Total___Renter_occu_3
Estimate__Total:__Renter occupied:__2 vehicles available
Double
8
0
0
Estimate__Total___Renter_occu_4
Estimate__Total:__Renter occupied:__3 vehicles available
Double
8
0
0
Estimate__Total___Renter_occu_5
Estimate__Total:__Renter occupied:__4 vehicles available
Double
8
0
0
Estimate__Total___Renter_occu_6
Estimate__Total:__Renter occupied:__5 or more vehicles available
Double
8
0
0
ObjectID
ObjectID
Integer
4
0
0
HouseholdsNoCar
HH_No_Cars
Double
8
0
0
HouseholdsCar
HH_Own_Car
Double
8
0
0
PercentDoesntOwn
Doesn't Own a Vehicle
Double
8
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.
20250317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