20220509
09395500
1.0
FALSE
States_BJS20
002
Geographic
GCS_WGS_1984
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/3.0.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</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>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
FGDC CSDGM Metadata
20230122
22093900
20230122
22093900
Esri ArcGIS 13.0.0.36056
States_BJS20
EIAIP
JARS
Mellon
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
States_BJS20
Feature Class
0
OBJECTID
OBJECTID
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.
UniqID
UniqID
String
8000
0
0
Year
Year
Integer
4
0
0
State
State
String
8000
0
0
STATE_ABBR
State_Abbr
String
8000
0
0
STATE_FIPS
State FIPS
String
2
0
0
DocPop
DocPop
Integer
4
0
0
DocPop1YoY
DocPop1YoY
Integer
4
0
0
DocPop5YoY
DocPop5YoY
Integer
4
0
0
CustodyPop
CustodyPop
Integer
4
0
0
CustodyPop1YoY
CustodyPop1YoY
Integer
4
0
0
CustodyPop5YoY
CustodyPop5YoY
Integer
4
0
0
CustodyCapPct
CustodyCapPct
Integer
4
0
0
CustodyCapPct1YoY
CustodyCapPct1YoY
Integer
4
0
0
CustodyCapPct5YoY
CustodyCapPct5YoY
Integer
4
0
0
CustodyDocPct
CustodyDocPct
Integer
4
0
0
CustodyDocPct1YoY
CustodyDocPct1YoY
Integer
4
0
0
CustodyDocPct5YoY
CustodyDocPct5YoY
Integer
4
0
0
CorrSpend
CorrSpend
Double
8
0
0
CorrSpend1K
CorrSpend1K
Integer
4
0
0
CorrSpendPerCustody
CorrSpendPerCustody
Integer
4
0
0
CorrSpendPerCustody1YoY
CorrSpendPerCustody1YoY
Integer
4
0
0
CorrSpendPerCustody5YoY
CorrSpendPerCustody5YoY
Integer
4
0
0
Census_Population_Estimate
Census Population Estimate
Integer
4
0
0
CustodyPer1KRes
CustodyPer1KRes
Double
8
0
0
CustodyPer1KRes1YoY
CustodyPer1KRes1YoY
Integer
4
0
0
CustodyPer1KRes5YoY
CustodyPer1KRes5YoY
Integer
4
0
0
SQMI
Area in square miles
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.
20230122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