<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20231205</CreaDate>
<CreaTime>16193400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>seccions-censals</keyword>
<keyword>vector</keyword>
<keyword>2d</keyword>
<keyword>unitats-administratives</keyword>
<keyword>feature-layer</keyword>
<keyword>serveis-corporatius</keyword>
</searchKeys>
<idPurp>Base geogràfica que descriu la subdivisió dels municipis de Catalunya en districtes i seccions censals publicada com a Feature Layer</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Seccions Censals</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
