20210201
14103000
1.0
FALSE
Salisbury_MD
002
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/2.7.0'><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>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
20210201
14103100
20210201
14103100
Esri ArcGIS 12.7.0.26828
Salisbury_MD
Salisbury
MD
Trade Area
Salisbury, MD
File Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Salisbury_MD
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.
trade_area
trade_area
String
25
0
0
areasm
areasm
Double
8
0
0
popcy
popcy
Double
8
0
0
pop90
pop90
Double
8
0
0
poppy
poppy
Double
8
0
0
hhdcy
hhdcy
Double
8
0
0
inccymedhh
inccymedhh
Double
8
0
0
inccyavehh
inccyavehh
Double
8
0
0
agecymed
agecymed
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.
20210201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