<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20220427</CreaDate>
<CreaTime>10142600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Cache_MpiosHogaresDeficitViviendaCuantitativoTotal_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>
