20210430
11183300
1.0
FALSE
ServiceCenters
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
<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/2.9.0'><WKT>PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",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]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2278]]</WKT><XOrigin>-126725700</XOrigin><YOrigin>-77828800</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>102740</WKID><LatestWKID>2278</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet
20221110
16294400
20221110
16294400
Esri ArcGIS 10.3.1.4959
ServiceCenters
ServiceCenters
File Geodatabase Feature Class
dataset
EPSG
6.11(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
ServiceCenters
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
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.
House_Coun
House_Coun
String
50
0
0
Name
Name
String
50
0
0
SHAPE_Leng
SHAPE_Leng
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.
20221110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