<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20220324</CreaDate>
<CreaTime>13390900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
<scaleRange>
<minScale>500000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>IFC categoría fiscal</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Servicio de mapas que incluye los recintos que delimitan las categorías fiscales de Madrid. Entre otros usos, se utiliza en la exacción del Impuesto Actividades Económicas, de determinadas tasas por ocupación del dominio público municipal y otros tributos, siendo una herramienta que permite graduar la carga tributaria en función de la ubicación geográfica. Se delimitan nueve categorías de la 1.ª a la 9.ª, siendo la 1.ª la de mayor valor.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>categorías fiscales</keyword>
<keyword>índice fiscal de calles</keyword>
<keyword>tributos municipales</keyword>
<keyword>IAE</keyword>
<keyword>tasas por ocupación del dominio público</keyword>
</searchKeys>
<idPurp>Categorías fiscales del municipio de Madrid</idPurp>
<idCredit>Agencia Tributaria Madrid</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;https://datos.madrid.es/egob/catalogo/aviso-legal&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20220324</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
