<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20220427</CreaDate>
<CreaTime>10185100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Cache_MpiosIndEnvejecimiento_2005_Crplt</resTitle>
</idCitation>
<idAbs>El servicio geográfico representa en coropletas o colores graduados, la georreferenciación de los resultados del Indice de envejecimiento, según municipio 2005. El índice expresa la relación entre la cantidad de personas adultas (mayores de 60 años) y la cantidad de niños y jóvenes (menores de 15 años). Matemáticamente es el cociente entre la población de 60 años y más de edad y la población de 0-14 años de edad.</idAbs>
<searchKeys>
<keyword>demografia</keyword>
<keyword> poblacion</keyword>
</searchKeys>
<idPurp>Indice de envejecimiento, seg&amp;uacute;n municipio 2005 (representaci&amp;oacute;n en coropletas)</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>
