20220207
15443100
1.0
FALSE
FeatureClassToFeatureClass VG250_Gemeinden1220 \\c039-ffm\FileShare\GeoHub_Daten\bkg-deutschlandatlas\DE-Atlas\03_Fachdaten\2022_ZA\Gemeinden1220.gdb VG250_Gemeinden1220_join_all # "ADE "ADE" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.ADE,-1,-1;GF "GF" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.GF,-1,-1;BSG "BSG" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.BSG,-1,-1;ARS "ARS" true true false 12 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.ARS,0,12;AGS "AGS" true true false 8 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.AGS,0,8;SDV_ARS "SDV_ARS" true true false 12 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SDV_ARS,0,12;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.GEN,0,60;BEZ "BEZ" true true false 40 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.BEZ,0,40;IBZ "IBZ" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.IBZ,-1,-1;BEM "BEM" true true false 40 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.BEM,0,40;NBD "NBD" true true false 4 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.NBD,0,4;SN_L "SN_L" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_L,0,2;SN_R "SN_R" true true false 1 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_R,0,1;SN_K "SN_K" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_K,0,2;SN_V1 "SN_V1" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_V1,0,2;SN_V2 "SN_V2" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_V2,0,2;SN_G "SN_G" true true false 3 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.SN_G,0,3;FK_S3 "FK_S3" true true false 2 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.FK_S3,0,2;NUTS "NUTS" true true false 5 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.NUTS,0,5;ARS_0 "ARS_0" true true false 12 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.ARS_0,0,12;AGS_0 "AGS_0" true true false 8 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.AGS_0,0,8;WSK "WSK" true true false 8 Date 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.WSK,-1,-1;DEBKG_ID "DEBKG_ID" true true false 16 Text 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.DEBKG_ID,0,16;GKZ1220 "GKZ1220" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.GKZ1220,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,VG250_Gemeinden1220,VG250_Gemeinden1220.Shape_Area,-1,-1;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_Gemeinden1220,gem20.csv.Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_Gemeinden1220,gem20.csv.name,0,8000;bev_dicht "bev_dicht" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.bev_dicht,-1,-1;bev_entw "bev_entw" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.bev_entw,-1,-1;p_apo "p_apo" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220,gem20.csv.p_apo,-1,-1" #
FeatureClassToFeatureClass VG250_Gemeinden1220_join_all \\c039-ffm\FileShare\GeoHub_Daten\bkg-deutschlandatlas\DE-Atlas\03_Fachdaten\2022_ZA\Gemeinden1220.gdb bev_entw # "GF "GF" true true false 2 Short 0 0,First,#,VG250_Gemeinden1220_join_all,GF,-1,-1;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_Gemeinden1220_join_all,GEN,0,60;BEZ "BEZ" true true false 40 Text 0 0,First,#,VG250_Gemeinden1220_join_all,BEZ,0,40;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_Gemeinden1220_join_all,Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_Gemeinden1220_join_all,name,0,8000;bev_entw "bev_entw" true true false 8 Double 0 0,First,#,VG250_Gemeinden1220_join_all,bev_entw,-1,-1" #
bev_entw
002
file://\\c039-ffm\FileShare\GeoHub_Daten\bkg-deutschlandatlas\DE-Atlas\03_Fachdaten\2022_ZA\Gemeinden1220.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_LAEA
<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/2.8.0'><WKT>PROJCS["ETRS_1989_LAEA",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["False_Easting",4321000.0],PARAMETER["False_Northing",3210000.0],PARAMETER["Central_Meridian",10.0],PARAMETER["Latitude_Of_Origin",52.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3035]]</WKT><XOrigin>-8426600</XOrigin><YOrigin>-9526700</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3035</WKID><LatestWKID>3035</LatestWKID></ProjectedCoordinateSystem>
20220207
15464500
20220207
15464500
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.8.3.29751
bev_entw_wms
deutschlandatlas
Gemittelte Entwicklung der Bevölkerungszahl zwischen 2015 und 2020 pro Jahr in _
File Geodatabase Feature Class
dataset
EPSG
6.7(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
bev_entw
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.
GF
GF
SmallInteger
2
0
0
GEN
GEN
String
60
0
0
BEZ
BEZ
String
40
0
0
Gebietskennziffer
Gebietskennziffer
Integer
4
0
0
name
name
String
8000
0
0
bev_entw
bev_entw
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.
20220207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