<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220829</CreaDate>
<CreaTime>09532300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">CommunityBoundaries_2017</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\semcogdom\group\DataAnalysis\Staff\Schlatter\ArcGIS Pro Projects\Open Data Uploading\Open Data Uploading.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20220829" Time="095324" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures "Community Boundaries" "Y:\Staff\Schlatter\ArcGIS Pro Projects\Open Data Uploading\Open Data Uploading.gdb\CommunityBoundaries_2017" # # # #</Process>
</lineage>
</DataProperties>
<SyncDate>20220829</SyncDate>
<SyncTime>09532300</SyncTime>
<ModDate>20220829</ModDate>
<ModTime>09532300</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 14393) ; Esri ArcGIS 12.9.2.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Community Boundaries 2017</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>southeast michigan</keyword>
</searchKeys>
<idPurp>temp</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="CommunityBoundaries_2017">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="CommunityBoundaries_2017">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="CommunityBoundaries_2017">
<enttyp>
<enttypl Sync="TRUE">CommunityBoundaries_2017</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">VER</attrlabl>
<attalias Sync="TRUE">VER</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">3</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SEMMCD</attrlabl>
<attalias Sync="TRUE">SEMMCD</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NAME</attrlabl>
<attalias Sync="TRUE">NAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COUNTY</attrlabl>
<attalias Sync="TRUE">COUNTY</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GlobalID</attrlabl>
<attalias Sync="TRUE">GlobalID</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20220829</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
