<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20190212</CreaDate>
<CreaTime>13522900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">StateAssemDist_SBCountyIntersects</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">6293202.926875</westBL>
<eastBL Sync="TRUE">7730333.125625</eastBL>
<southBL Sync="TRUE">1675451.084375</southBL>
<northBL Sync="TRUE">2489019.915000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_California_V_FIPS_0405_Feet</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/10.6'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_California_V_FIPS_0405_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,6561666.666666666],PARAMETER[&amp;quot;False_Northing&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-118.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,34.03333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,35.46666666666667],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,33.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2229]]&lt;/WKT&gt;&lt;XOrigin&gt;-117608900&lt;/XOrigin&gt;&lt;YOrigin&gt;-91881400&lt;/YOrigin&gt;&lt;XYScale&gt;1600&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.040000000000000001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;2.0000000000000002e-05&lt;/ZTolerance&gt;&lt;MTolerance&gt;2.0000000000000002e-05&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102645&lt;/WKID&gt;&lt;LatestWKID&gt;2229&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20191207</SyncDate>
<SyncTime>12502800</SyncTime>
<ModDate>20191207</ModDate>
<ModTime>12502800</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 10.6.0.8321</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">California State Assembly Districts</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-118.905512</westBL>
<eastBL Sync="TRUE">-114.060070</eastBL>
<northBL Sync="TRUE">35.831618</northBL>
<southBL Sync="TRUE">33.534994</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>Polygon features of State Assembly legislative areas that intersect San Bernardino County as of December 2019.</idPurp>
<searchKeys>
<keyword>Legislative and Public Affairs</keyword>
<keyword>Planning</keyword>
<keyword>polygon</keyword>
<keyword>legislators</keyword>
<keyword>state</keyword>
<keyword>assembly</keyword>
<keyword>congressional</keyword>
<keyword>public policy</keyword>
<keyword>representative</keyword>
<keyword>political party</keyword>
<keyword>intersects</keyword>
<keyword>legislation</keyword>
</searchKeys>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;Extents show the legislative boundaries for State of California Assemblypersons. These boundaries and attributes are as of December 2019. More information on how state boundaries are drawn can be found with the State of California's &lt;/SPAN&gt;&lt;A href="https://wedrawthelines.ca.gov/"&gt;&lt;SPAN&gt;Citizen Redistricting Commission&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;. Attributes of interest include:&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;W&lt;/SPAN&gt;&lt;SPAN&gt;ebsite links websites for the elected person, legislation tracking, and Census information per legislative area.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;List of County incorporated areas that intersect per legislative area.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>SBCTA, CRC, US Census</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;CC0&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2229"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="StateAssemDist_SBCountyIntersects">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">8</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="StateAssemDist_SBCountyIntersects">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">8</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="StateAssemDist_SBCountyIntersects">
<enttyp>
<enttypl Sync="FALSE">StateAssemDist_SBCountyIntersects</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">8</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID_1</attrlabl>
<attalias Sync="TRUE">OBJECTID_1</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</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">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DISTRICT</attrlabl>
<attalias Sync="TRUE">DISTRICT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Last_Name</attrlabl>
<attalias Sync="TRUE">Last_Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">First___Mi</attrlabl>
<attalias Sync="TRUE">First___Mi</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Website</attrlabl>
<attalias Sync="TRUE">Website</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Party</attrlabl>
<attalias Sync="TRUE">Party</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">14</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Website_bills</attrlabl>
<attalias Sync="TRUE">Website_bills</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">225</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Date_Elected</attrlabl>
<attalias Sync="TRUE">Date_Elected</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Census_Info</attrlabl>
<attalias Sync="TRUE">Census_Info</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">225</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Intersect_Cities</attrlabl>
<attalias Sync="TRUE">Intersect_Cities</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">225</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Projects_perDist</attrlabl>
<attalias Sync="TRUE">Projects_perDist</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">225</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</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">Shape.area</attrlabl>
<attalias Sync="TRUE">Shape.area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.len</attrlabl>
<attalias Sync="TRUE">Shape.len</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20191207</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
