<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="de">
<Esri>
<CreaDate>20210504</CreaDate>
<CreaTime>07031600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210504" Time="070316" 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 erw_minineben # "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;erw_minineben "erw_minineben" true true false 80 Double 0 0,First,#,VG250_Kreise1219,krs19.csv.erw_minineben,0,8000" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>deutschlandatlas</keyword>
<keyword>HA2021</keyword>
</searchKeys>
<idPurp>Anteil der geringfügig entlohnten Beschäftigten im Nebenjob am Arbeitsort an allen Erwerbstätigen 2018 in %, erw_minineben_HA2021</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>erw_minineben_HA2021</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
