20190212
07185800
1.0
FALSE
GrantZipCodesCC
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Nevada_East_FIPS_2701_Feet
<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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_Nevada_East_FIPS_2701_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["Transverse_Mercator"],PARAMETER["False_Easting",656166.6666666665],PARAMETER["False_Northing",26246666.66666666],PARAMETER["Central_Meridian",-115.5833333333333],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",34.75],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3421]]</WKT><XOrigin>-17790500</XOrigin><YOrigin>-19184900</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102707</WKID><LatestWKID>3421</LatestWKID></ProjectedCoordinateSystem>
20230411
10030100
20230411
10030100
Esri ArcGIS 13.0.2.36056
GrantZipCodesCC
Clark County
Broadband
Clark County Zip Codes that will be focused on first via the FCC ACP Outreach Grant Coordination
File Geodatabase Feature Class
0.000
dataset
EPSG
8.2.10(9.3.0.0)
0
Simple
FALSE
0
TRUE
FALSE
GrantZipCodesCC
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.
ZIP
ZIP
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.
20230411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