20240109
13433200
1.0
FALSE
CoreBasedStatisticalArea_select
002
file://\\pew.pewtrusts.org\pct\PCT Data\Dpt-Pew Center on the States\GIS\GovernmentRelations\StateLegislativeDist_ZipCodes_202306\StateLegislativeDist_ZipCodes_202306\CoreBasedStatisticalArea_select.shp
Local Area Network
0.000
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/3.1.0'><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>11258999068426.238</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>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
ExportFeatures "cb_2021_us_cbsa_500k selection" "Q:\Dpt-Pew Center on the States\GIS\GovernmentRelations\StateLegislativeDist_ZipCodes_202306\StateLegislativeDist_ZipCodes_202306\Default.gdb\CoreBasedStatisticalArea_select" # NOT_USE_ALIAS "CSAFP "CSAFP" true true false 3 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,CSAFP,0,3;CBSAFP "CBSAFP" true true false 5 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,CBSAFP,0,5;AFFGEOID "AFFGEOID" true true false 14 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,AFFGEOID,0,14;GEOID "GEOID" true true false 5 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,GEOID,0,5;NAME "NAME" true true false 100 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,NAME,0,100;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,NAMELSAD,0,100;LSAD "LSAD" true true false 2 Text 0 0,First,#,cb_2021_us_cbsa_500k selection,LSAD,0,2;ALAND "ALAND" true true false 14 Double 0 14,First,#,cb_2021_us_cbsa_500k selection,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14,First,#,cb_2021_us_cbsa_500k selection,AWATER,-1,-1" #
ExportFeatures CoreBasedStatisticalArea_select "Q:\Dpt-Pew Center on the States\GIS\GovernmentRelations\StateLegislativeDist_ZipCodes_202306\StateLegislativeDist_ZipCodes_202306\CoreBasedStatisticalArea_select.shp" # NOT_USE_ALIAS "CSAFP "CSAFP" true true false 3 Text 0 0,First,#,CoreBasedStatisticalArea_select,CSAFP,0,3;CBSAFP "CBSAFP" true true false 5 Text 0 0,First,#,CoreBasedStatisticalArea_select,CBSAFP,0,5;AFFGEOID "AFFGEOID" true true false 14 Text 0 0,First,#,CoreBasedStatisticalArea_select,AFFGEOID,0,14;GEOID "GEOID" true true false 5 Text 0 0,First,#,CoreBasedStatisticalArea_select,GEOID,0,5;NAME "NAME" true true false 100 Text 0 0,First,#,CoreBasedStatisticalArea_select,NAME,0,100;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,CoreBasedStatisticalArea_select,NAMELSAD,0,100;LSAD "LSAD" true true false 2 Text 0 0,First,#,CoreBasedStatisticalArea_select,LSAD,0,2;ALAND "ALAND" true true false 8 Double 0 0,First,#,CoreBasedStatisticalArea_select,ALAND,-1,-1;AWATER "AWATER" true true false 8 Double 0 0,First,#,CoreBasedStatisticalArea_select,AWATER,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,CoreBasedStatisticalArea_select,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,CoreBasedStatisticalArea_select,Shape_Area,-1,-1" #
20240109
15522300
20240109
15522300
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.3.41833
CoreBasedStatisticalArea_select
Shapefile
0.000
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
CoreBasedStatisticalArea_select
Feature Class
0
FID
FID
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.
CSAFP
CSAFP
String
3
0
0
CBSAFP
CBSAFP
String
5
0
0
AFFGEOID
AFFGEOID
String
14
0
0
GEOID
GEOID
String
5
0
0
NAME
NAME
String
100
0
0
NAMELSAD
NAMELSAD
String
100
0
0
LSAD
LSAD
String
2
0
0
ALAND
ALAND
Double
19
0
0
AWATER
AWATER
Double
19
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240109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