<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="de">
<Esri>
<CreaDate>20210521</CreaDate>
<CreaTime>10164800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210521" Time="101648" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass VG250_Kreise1219 Z:\DE-Atlas\03_Fachdaten\2021_HA\Kreise.gdb straft # "GF "GF" true true false 2 Short 0 0,First,#,VG250_Kreise1219,VG250_Kreise1219.GF,-1,-1;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_Kreise1219,VG250_Kreise1219.GEN,0,60;BEZ "BEZ" true true false 40 Text 0 0,First,#,VG250_Kreise1219,VG250_Kreise1219.BEZ,0,40;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_Kreise1219,krs19.csv.Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_Kreise1219,krs19.csv.name,0,8000;straft "straft" true true false 8 Double 0 0,First,#,VG250_Kreise1219,krs19.csv.straft,-1,-1" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>deutschlandatlas</keyword>
<keyword>HA2021</keyword>
</searchKeys>
<idPurp>Straftaten insgesamt pro 100_000 Einwohner__innen im Jahr 2020, straft_HA2021</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>straft_HA2021</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
