<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20170614</CreaDate>
<CreaTime>18020500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>INSPIRE Metadata Directive</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>This dataset contains areas by degree of urbanisation (revised definition, 2014). The degree
of urbanisation classifies local administrative units (LAU2 with the exceptions of Malta and
Denmark which are at LAU1 level) in Europe into three categories: thinly (rural), intermediate
(towns and suburbs or small urban) and densely populated (cities or large urban) areas.
The classification is based on a population distribution grid with raster cells of 1 sqkm size.
Data are available for EU countries, Norway, Switzerland, Serbia and Iceland. The data is
available at 1:100 000 resolution for internal commission users and a generalised 1:1 000 000 resolution is available to the public via the GISCO Dedicated Section on the Eurostat website.</idAbs>
<searchKeys>
<keyword>Eurostat</keyword>
<keyword>urbanisation</keyword>
<keyword>LAU2</keyword>
</searchKeys>
<idPurp>Degree of Urbanisation of all LAU2s (Local Administrative Units - Level 2/municipalities)</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>UrbanRuralTypology</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
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</Data>
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