<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20201120</CreaDate>
<CreaTime>09310000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Effective_Flood_Map_2019</resTitle>
</idCitation>
<idAbs>The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).</idAbs>
<searchKeys>
<keyword>STATE TX</keyword>
<keyword>inland waters</keyword>
<keyword>FEMA-CID 481569</keyword>
<keyword>FEMA-CID 485461</keyword>
<keyword>FEMA-CID 485479</keyword>
<keyword>COUNTY Galveston</keyword>
<keyword>structure</keyword>
<keyword>COMMUNITY City of Dickinson</keyword>
<keyword>NFIP</keyword>
<keyword>FEMA-CID 485469</keyword>
<keyword>COMMUNITY City of Kemah</keyword>
<keyword>COMMUNITY City of Texas City</keyword>
<keyword>Special Flood Hazard Area</keyword>
<keyword>COMMUNITY C</keyword>
</searchKeys>
<idPurp>The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications...</idPurp>
<idCredit>Federal Emergency Management Agency (FEMA)</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
