<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20191230</CreaDate>
<CreaTime>16494400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Blocks</resTitle>
</idCitation>
<searchKeys>
<keyword>cadastral</keyword>
<keyword>land records</keyword>
<keyword>assessor</keyword>
</searchKeys>
<idPurp>Douglas County NE land records Blocks layer</idPurp>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Blocks are groups of lots that are usually bounded by streets or other significant physical boundaries within a platted subdivision. Modern subdivisions only use Lot numbers with unique lot numbers. When blocks were used, only the blocks had unique numbers...lots could reuse 1-10, or however many lots were in a block. Ex. Lot 1 Block 1, or Lot 1 Block 2, etc...&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Maintained by the DC Assessor's staff&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>Douglas County Assessor/Register of Deeds</idCredit>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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=</Data>
</Thumbnail>
</Binary>
</metadata>
