<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20190909</CreaDate>
<CreaTime>11255500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20190909" Name="" Time="112555" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField" export="">DeleteField GISOWNER.Counties Shape_STAr</Process>
<Process Date="20190909" Name="" Time="112604" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField" export="">DeleteField GISOWNER.Counties Shape_STLe</Process>
<Process Date="20190909" Name="" Time="112614" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField" export="">DeleteField GISOWNER.Counties OBJECTID</Process>
<Process Date="20240703" Time="113259" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes "County Boundary" "SQ_MILES AREA" # "Square Statute Miles" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
</lineage>
</DataProperties>
<scaleRange>
<minScale>20000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idPurp>County Boundaries based on Parcel and County Boundary Data from the individual Counties within the SACOG Region.</idPurp>
<idCitation>
<resTitle>County Boundary</resTitle>
</idCitation>
<searchKeys>
<keyword>County</keyword>
<keyword>Parcel</keyword>
<keyword>APN</keyword>
<keyword>Assessor</keyword>
<keyword>Boundary</keyword>
</searchKeys>
<idCredit>SACOG County Jurisdictions, Sacramento County, Placer County, Sutter County, El Dorado County, Yolo, County, Yuba County</idCredit>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;County boundaries within the SACOG region. Not Legal Boundaries used for cartographic purposes only. Mapped to align with county parcels and county boundaries as provided by the county. Current as of July 2024&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20240703</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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==</Data>
</Thumbnail>
</Binary>
</metadata>
