20210525
13421300
1.0
FALSE
GU_CountyClassifier_TN
002
677977.249907
3245808.273027
236914.219147
860022.919777
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Tennessee_FIPS_4100_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/2.4.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Tennessee_FIPS_4100_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",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",0.0],PARAMETER["Central_Meridian",-86.0],PARAMETER["Standard_Parallel_1",35.25],PARAMETER["Standard_Parallel_2",36.41666666666666],PARAMETER["Latitude_Of_Origin",34.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2915]]</WKT><XOrigin>-121521300</XOrigin><YOrigin>-93934000</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>2915</WKID><LatestWKID>2915</LatestWKID></ProjectedCoordinateSystem>
20191030
11391100
20191030
11391100
150000000
5000
Esri ArcGIS 12.4.2.19948
GU_CountyClassifier_TN
1
-90.398406
-81.646572
36.695896
34.906177
Counties are considered urban is more than 1/2 of the county's total population lives in Urbanized areas, but not urban clusters.
UI Claims
File Geodatabase Feature Class
dataset
EPSG
6.13(9.0.0)
95
Simple
FALSE
95
TRUE
FALSE
GU_CountyClassifier_TN
Feature Class
95
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.
COUNTYNS
County GNIS code
String
8
0
0
NAMELSAD
Legal/statistical area
String
100
0
0
GEOID
County identifier
String
5
0
0
CBSAFP
Combined statistical area code
String
5
0
0
CBSA_TITLE
Core-based area name
String
255
0
0
MSA_TYPE
Core-based statistical area type
String
255
0
0
MSA_COUNTY_TYPE
Core-based area county type
String
255
0
0
DEV_DIST_NAME
Development District name
String
255
0
0
DEV_DIST_ACRONYM
Development District acronym
String
255
0
0
ECD_URBAN_RURAL_CLASS
TN ECD Urban Rural Classification
String
255
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.
20191030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