<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221228</CreaDate>
<CreaTime>11184800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>NREL Data Draft</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>NREL</keyword>
<keyword>Inflation Reduction Act</keyword>
<keyword>Energy Communities</keyword>
</searchKeys>
<idPurp>SLC Census tract data retrieved from the DRAFT version of the dataset tool that NREL (National Renewable Energy Laboratory) built to ID census tracts that are expected to meet criteria for IRA tax credits</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
