<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20220427</CreaDate>
<CreaTime>10141100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Cache_MpiosHogaresDeficitViviendaCuantitativoResto_2005</resTitle>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;El déficit cuantitativo de vivienda estima la cantidad de viviendas que la sociedad debe construir o adicionar al stock para que exista una relación uno a uno entre las viviendas adecuadas y los hogares que necesitan alojamiento, es decir, se basa en la comparación entre el número de hogares y el de viviendas apropiadas existentes. El monto en el cual los hogares superen las viviendas es lo que en la gran parte de la literatura se designa como déficit cuantitativo&lt;/span&gt;&lt;/span&gt;&lt;span&gt;.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>pobreza</keyword>
<keyword> condiciones</keyword>
<keyword> vida</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>
