<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
      
  
  <Esri>
            
    
    <CreaDate>20241106</CreaDate>
            
    
    <CreaTime>21494900</CreaTime>
            
    
    <ArcGISFormat>1.0</ArcGISFormat>
            
    
    <SyncOnce>TRUE</SyncOnce>
            
    
    <DataProperties>
                  
      
      <lineage>
                        
        
        <Process Date="20241106" Time="214949" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\Rename">Rename C:\Users\coyle.CITYNET\AppData\Local\Temp\51\ArcGISProTemp3800\dab5e0ea-ff66-4b35-8148-b78319246229\gisdata.sde\GDB_mapmaker.GIS.landbase1_TaxParcels_AssessedInternal_Nov C:\Users\coyle.CITYNET\AppData\Local\Temp\51\ArcGISProTemp3800\dab5e0ea-ff66-4b35-8148-b78319246229\gisdata.sde\GDB_mapmaker.GIS.landbase1_TaxParcels_AssessedInternal FeatureClass</Process>
                      
      
      </lineage>
                
    
    </DataProperties>
          
  
  </Esri>
      
  
  <dataIdInfo>
            
    
    <idAbs/>
            
    
    <searchKeys>
                  
      
    
      
      
    
      <keyword>Allentown</keyword>
      <keyword>Parcels</keyword>
    </searchKeys>
            
    
    <idPurp>Map layer contains parcels owned by the City of Allentown, PA.</idPurp>
            
    
    <idCredit/>
            
    
    <resConst>
                  
      
      <Consts>
                        
        
        <useLimit/>
                      
      
      </Consts>
                
    
    </resConst>
            
    
    <idCitation>
                  
      
      <resTitle>City Owned Parcels</resTitle>
                
    
    </idCitation>
          
  
  </dataIdInfo>
      
  
  <Binary>
            
    
    <Thumbnail>
                  
      
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
                
    
    </Thumbnail>
          
  
  </Binary>
    

</metadata>
