<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  <Esri>
    <CreaDate>20200810</CreaDate>
    <CreaTime>21181400</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
    <MapLyrSync>TRUE</MapLyrSync>
  </Esri>
  <dataIdInfo>
    <idCitation>
      <resTitle>Op_Tax_Dynamic_SP</resTitle>
    </idCitation>
    <idAbs>Feature Class is maintained interactively by GIS staff. Primary attributes include tax unit, tax year, and tax districts. Several derivitive taxing district coverages are dissolved from this Featureclasss: cemetery, drainage, fire, fire bond, hospital, industrial, redevelopment, sewer, and watershed districts. Feature class represents current taxing unit boundaries and districts.</idAbs>
    <searchKeys>
      <keyword>Tax</keyword>
      <keyword>cemetery</keyword>
      <keyword>drainage</keyword>
      <keyword>fire</keyword>
      <keyword>fire bond</keyword>
      <keyword>hospital</keyword>
      <keyword>industrial</keyword>
      <keyword>redevelopment</keyword>
      <keyword>sewer</keyword>
      <keyword>watershed districts</keyword>
    </searchKeys>
    <idPurp>tax unit, tax year, and tax districts</idPurp>
    <idCredit>Sedgwick County GIS</idCredit>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
    </Thumbnail>
  </Binary>
</metadata>
