<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20220427</CreaDate>
<CreaTime>10204500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Cache_MpiosProyeccion2010</resTitle>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;Se presenta una selección de indicadores que provienen de los procesos de conciliación censal y proyecciones de población para el período 1985 - 2020, para los niveles nacional y departamental&lt;/span&gt;&lt;/span&gt;&lt;span&gt;.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>demografia</keyword>
<keyword> poblacion</keyword>
</searchKeys>
<idPurp>Difusi&amp;oacute;n de informaci&amp;oacute;n estad&amp;iacute;stica georreferenciada</idPurp>
<idCredit>Departamento Administrativo Nacional de Estadística (DANE)</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
