<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230823</CreaDate>
<CreaTime>09034700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230823" Name="Make Assessor Public Under Construction Raster" Time="090347" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\PolygonToRaster">PolygonToRaster "\\v-gis\GisData\Web Maps\WebMappingData.gdb\AssessorParcelWithPublicTax" CIS_dbo_vGisPublicTaxData_UnderConstructionMarket "\\v-gis\GisData\Web Maps\WebMappingData.gdb\AsrPublicUnderConstruction" "Maximum combined area" CIS_dbo_vGisPublicTaxData_UnderConstructionMarket 20 BUILD</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp>This layer shows residential parcels that have a building under construction. In most cases it is a new home.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Assessor Public Under Construction</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
