<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221221</CreaDate>
<CreaTime>10311800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20221221" Time="103118" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\PairwiseClip">PairwiseClip BG2020 PRODVECTOR.GIS.gRegion "Y:\Staff\Misiuk\GIS\ArcGIS Pro\forecast_POC\forecast\Default.gdb\baby_boomer_pct_2020" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp>Showing percent baby boomer generation using the 2050 Forecast Base Year Data</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2020_Block_Groups</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
