<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20141120</CreaDate>
<CreaTime>07452500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>NYC Manhattan Property Valuations from 2010 - 2015</idAbs>
<searchKeys>











<keyword>NYC</keyword><keyword>Manhattan</keyword><keyword>property</keyword><keyword>value</keyword><keyword>valuation</keyword><keyword>assessed</keyword><keyword>assessor</keyword><keyword>full market</keyword><keyword>building</keyword><keyword>comparable</keyword><keyword>desire lines</keyword><keyword>DOF</keyword><keyword>DTm</keyword></searchKeys>
<idPurp>NYC Manhattan Property Valuations from 2010 - 2015</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>