<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20210817</CreaDate>
<CreaTime>15032100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">STP_Census_2020_PL_Block</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-90.257660</westBL>
<eastBL Sync="TRUE">-89.494973</eastBL>
<southBL Sync="TRUE">30.138814</southBL>
<northBL Sync="TRUE">30.712444</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">7.801</itemSize>
</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>
<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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Louisiana_South_FIPS_1702_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;,3280833.333333333],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-91.33333333333333],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,29.3],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,30.7],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,28.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,3452]]&lt;/WKT&gt;&lt;XOrigin&gt;-124791100&lt;/XOrigin&gt;&lt;YOrigin&gt;-91255500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&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;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;2&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102682&lt;/WKID&gt;&lt;LatestWKID&gt;3452&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet</projcsn>
</coordRef>
</DataProperties>
<SyncDate>20250509</SyncDate>
<SyncTime>13383300</SyncTime>
<ModDate>20250509</ModDate>
<ModTime>14131600</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">2020 Census Blocks</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<citRespParty>
<rpIndName>Lynn Dupont</rpIndName>
<rpOrgName>The Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, St. Charles, St. John the Baptist, St. Tammany, and Tangipahoa Parishes (RPC)</rpOrgName>
<rpPosName>GIS Manager</rpPosName>
<role>
<RoleCd value="009"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>10 Veterans Blvd.</delPoint>
<city>New Orleans</city>
<adminArea>Louisiana</adminArea>
<postCode>70124</postCode>
<eMailAdd>ldupont@norp.org</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">504 483-8500</voiceNum>
</cntPhone>
</rpCntInfo>
</citRespParty>
<date>
<pubDate>2021-08-17T00:00:00</pubDate>
</date>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-90.257660</westBL>
<eastBL Sync="TRUE">-89.494973</eastBL>
<northBL Sync="TRUE">30.712444</northBL>
<southBL Sync="TRUE">30.138814</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>Compiled from U.S. Census 2020 State Redistricting Data (Public Law 94-171) Summary File published August 12, 2021, “2020 Census of Population and Housing.” The New Orleans Regional Planning Commission (RPC) imported U.S. Census text files for Louisiana, joined to Census geography files (2020PL) and formatted with specific attributes generally used for RPC planning activities from the six content tables published: P1 (Race), P2 (Hispanic or Latino), P3 (Race for Population 18 Years and over), P4 (Hispanic or Latino by Race for the Population 18 Years and Over, P5 (Group Quarters population by Major Group Quarter Type), and H1 (Housing Unit Occupancy Status). Many more detailed attributes exist within the content tables published which could be joined to the geographic files.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="text-align:Center;margin:0 0 7 0;"&gt;&lt;SPAN STYLE="font-weight:bold;font-size:16pt"&gt;2020 CENSUS BLOCKS&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;margin:0 0 7 0;"&gt;&lt;SPAN /&gt;&lt;SPAN&gt;Geographic mapping files &lt;/SPAN&gt;&lt;SPAN&gt;at the Census block level&lt;/SPAN&gt;&lt;SPAN&gt; joined to general race categories for population and population 18 years of age and over, and also housing tenure data within Louisiana from Census 2020 Redistricting summary file tables.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;margin:0 0 7 0;"&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;margin:0 0 7 0;"&gt;&lt;SPAN&gt;Compiled from U.S. Census 2020 State Redistricting Data (Public Law 94-171) Summary File published August 12, 2021, “2020 Census of Population and Housing” by the U.S. Department of Commerce, Economics and Statistics Administration, U.S. Census Bureau.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;margin:0 0 7 0;"&gt;&lt;SPAN&gt;The New Orleans Regional Planning Commission (RPC) imported U.S. Census text files for Louisiana, joined to Census geography files (2020PL) and formatted with specific attributes generally used for RPC planning activities.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>©2025 U.S. Census Department of Housing and Urban Development
©2025 St. Tammany Parish Government - GIS Division of the Department of Technology
Last Updated: &lt;null&gt;</idCredit>
<searchKeys>
<keyword>Louisiana</keyword>
<keyword>Regional Planning Commission</keyword>
<keyword>RPC</keyword>
<keyword>U.S. Census 2020</keyword>
<keyword>PL 94-171</keyword>
<keyword>Redistricting</keyword>
<keyword>Planning</keyword>
<keyword>Demographics</keyword>
<keyword>Socio-Economic</keyword>
<keyword>Population</keyword>
<keyword>Housing</keyword>
<keyword>Minority</keyword>
<keyword>Race</keyword>
<keyword>Ethnicity</keyword>
<keyword>Hispanic-Latino</keyword>
<keyword>Housing Unit Tenure</keyword>
<keyword>Density</keyword>
<keyword>Group Quarters</keyword>
<keyword>Census Block</keyword>
<keyword>block</keyword>
</searchKeys>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<resMaint>
<maintFreq>
<MaintFreqCd value="011"/>
</maintFreq>
</resMaint>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-weight:bold;font-size:8pt"&gt;For planning purposes only. It is not a legally recorded plan, survey, official tax map or engineering schematic, and it is not intended to be used as such.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-size:8pt"&gt;©2025 St. Tammany Parish Government - GIS Division of the Department of Technology&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>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">7.801</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3452"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.9.3(10.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="STP_Census_2020_PL_Block">
<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="STP_Census_2020_PL_Block">
<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="STP_Census_2020_PL_Block">
<enttyp>
<enttypl Sync="FALSE">STP_Census_2020_PL_Block</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</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">GEOID20</attrlabl>
<attalias Sync="TRUE">GEOID20</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID_12</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">TRACT</attrlabl>
<attalias Sync="TRUE">TRACT</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">BLKGRP</attrlabl>
<attalias Sync="TRUE">BLKGRP</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">BLOCK</attrlabl>
<attalias Sync="TRUE">BLOCK</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">AREALAND</attrlabl>
<attalias Sync="TRUE">AREALAND</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">AREAWATR</attrlabl>
<attalias Sync="TRUE">AREAWATR</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NAME</attrlabl>
<attalias Sync="TRUE">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">HU100</attrlabl>
<attalias Sync="TRUE">HU100</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TotPop</attrlabl>
<attalias Sync="TRUE">TotPop</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">White</attrlabl>
<attalias Sync="TRUE">White</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Black</attrlabl>
<attalias Sync="TRUE">Black</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Amer_Ind</attrlabl>
<attalias Sync="TRUE">Amer_Ind</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Asian</attrlabl>
<attalias Sync="TRUE">Asian</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Pac_Isldnr</attrlabl>
<attalias Sync="TRUE">Pac_Isldnr</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Other_Race</attrlabl>
<attalias Sync="TRUE">Other_Race</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Multi_Race</attrlabl>
<attalias Sync="TRUE">Multi_Race</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TotPop1</attrlabl>
<attalias Sync="TRUE">TotPop1</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Hisp_Lat</attrlabl>
<attalias Sync="TRUE">Hisp_Lat</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Non_HisLat</attrlabl>
<attalias Sync="TRUE">Non_HisLat</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TotPop18UP</attrlabl>
<attalias Sync="TRUE">TotPop18UP</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">White_18UP</attrlabl>
<attalias Sync="TRUE">White_18UP</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Black_18UP</attrlabl>
<attalias Sync="TRUE">Black_18UP</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">AmerInd_18</attrlabl>
<attalias Sync="TRUE">AmerInd_18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Asian_18</attrlabl>
<attalias Sync="TRUE">Asian_18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PacIsl_18</attrlabl>
<attalias Sync="TRUE">PacIsl_18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Other_Ra18</attrlabl>
<attalias Sync="TRUE">Other_Ra18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Multi_Ra18</attrlabl>
<attalias Sync="TRUE">Multi_Ra18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TotPop18_1</attrlabl>
<attalias Sync="TRUE">TotPop18_1</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Hisp_Lat18</attrlabl>
<attalias Sync="TRUE">Hisp_Lat18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Non_HiLa18</attrlabl>
<attalias Sync="TRUE">Non_HiLa18</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Total_HU</attrlabl>
<attalias Sync="TRUE">Total_HU</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Occ_HU</attrlabl>
<attalias Sync="TRUE">Occ_HU</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Vacant_HU</attrlabl>
<attalias Sync="TRUE">Vacant_HU</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TotPop_GQ</attrlabl>
<attalias Sync="TRUE">TotPop_GQ</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">InstGQ</attrlabl>
<attalias Sync="TRUE">InstGQ</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">AdulCorFac</attrlabl>
<attalias Sync="TRUE">AdulCorFac</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">JuvCorFac</attrlabl>
<attalias Sync="TRUE">JuvCorFac</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NursHome</attrlabl>
<attalias Sync="TRUE">NursHome</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">OthInstGQ</attrlabl>
<attalias Sync="TRUE">OthInstGQ</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NonInstGQ</attrlabl>
<attalias Sync="TRUE">NonInstGQ</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Col_Dorm</attrlabl>
<attalias Sync="TRUE">Col_Dorm</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Military</attrlabl>
<attalias Sync="TRUE">Military</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">OthNonInst</attrlabl>
<attalias Sync="TRUE">OthNonInst</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</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.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</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">20250509</mdDateSt>
<dqInfo>
<dataLineage>
<statement>Compiled from U.S. Census 2020 State Redistricting Data (Public Law 94-171) Summary File published August 12, 2021.</statement>
</dataLineage>
</dqInfo>
<mdConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;P STYLE="font-size:16ptmargin:7 0 7 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Terms of Use&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="font-size:16ptmargin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;The Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, St. Charles, St. John the Baptist, St. Tammany and Tangipahoa Parishes, (RPC), is providing formatted public data with the following provisions:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"&gt;&lt;LI STYLE="margin:0 0 0 48;"&gt;&lt;P STYLE="font-size:16ptmargin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;The Regional Planning Commission is not responsible for any errors existing in the data or for any errors arising from alterations that the user may make to the data.  &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI STYLE="margin:0 0 0 48;"&gt;&lt;P STYLE="font-size:16ptmargin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;Sale of these data sets is strictly prohibited.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI STYLE="margin:0 0 0 48;"&gt;&lt;P STYLE="font-size:16ptmargin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;In using these data for any purpose, including but not limited to printed materials, PowerPoint presentations, maps, data booklets, studies and reports, the user&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-style:italic;font-weight:bold;"&gt;&lt;SPAN&gt; will print&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt; the corresponding citation(s) supplied or within metadata, the RPC disclaimer, and/or seal(s) accompanying each data set.  &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI STYLE="margin:0 0 0 48;"&gt;&lt;P STYLE="font-size:16ptmargin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;Any digital planning data produced&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;using these data will be supplied at no cost and in the format&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-size:14pt"&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-style:italic;"&gt;&lt;SPAN&gt;requested to the RPC upon request.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P STYLE="font-size:16ptmargin:0 0 7 0;"&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P STYLE="font-size:16ptmargin:0 0 7 0;"&gt;&lt;SPAN&gt;Disclaimer:  The data herein, including but not limited to geographic data, tabular data, analytical data, electronic data structures or files, are provided "as is" without warranty of any kind, either expressed or implied, or statutory, including, but not limited to, the implied warranties or merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the data is assumed by the user. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, St. Charles, St. John the Baptist, St. Tammany and Tangipahoa Parishes (RPC) be liable for direct, indirect, incidental, consequential or special damages of any kind, including, but not limited to, loss of anticipated profits or benefits arising out of use of or reliance on the data. The RPC does not accept liability for any damages or misrepresentation caused by inaccuracies in the data or as a result of changes to the data caused by system transfers or other transformations or conversions, nor is there responsibility assumed to maintain the data in any manner or form. These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from physical sources used to develop the data may be reflected in the data supplied. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures. Although these data have been processed successfully on computers at the RPC, no guarantee, expressed or implied, is made by RPC regarding the use of these data on any other system, nor does the act of distribution constitute or imply any such warranty. Distribution of these data is intended for information purposes and should not be considered authoritative for navigational, engineering, legal and other site-specific uses.  Data was prepared by GIS professionals, not by licensed professional land surveyors or engineers.&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</mdConst>
<mdMaint>
<maintFreq>
<MaintFreqCd value="011"/>
</maintFreq>
</mdMaint>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
