<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">NC_State_County_Boundary_NAD832011</itemName>
<nativeExtBox>
<westBL Sync="TRUE">406832.617203</westBL>
<eastBL Sync="TRUE">3052480.011593</eastBL>
<southBL Sync="TRUE">34987.933500</southBL>
<northBL Sync="TRUE">1043624.399491</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<itemSize Sync="TRUE">0.000</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>
<projcsn Sync="TRUE">NAD_1983_StatePlane_North_Carolina_FIPS_3200_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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_North_Carolina_FIPS_3200_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;,2000000.002616666],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-79.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,34.33333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,36.16666666666666],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,33.75],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2264]]&lt;/WKT&gt;&lt;XOrigin&gt;-121841900&lt;/XOrigin&gt;&lt;YOrigin&gt;-93659000&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;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102719&lt;/WKID&gt;&lt;LatestWKID&gt;2264&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISProfile>FGDC</ArcGISProfile>
<CreaDate>20251006</CreaDate>
<CreaTime>16393700</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20260209</SyncDate>
<SyncTime>10053600</SyncTime>
<ModDate>20260209</ModDate>
<ModTime>10053600</ModTime>
<scaleRange>
<minScale>20000000</minScale>
<maxScale>500000</maxScale>
</scaleRange>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<mdLang>
<languageCode value="eng"/>
<countryCode value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpOrgName>North Carolina Geodetic Survey</rpOrgName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>200 Park Offices Dr</delPoint>
<city>Durham</city>
<adminArea>NC</adminArea>
<postCode>27709</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">919-733-3836</voiceNum>
</cntPhone>
<cntInstr>More information at https://ncgs.state.nc.us/</cntInstr>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
<rpPosName>GIS Manager</rpPosName>
<displayName>North Carolina Geodetic Survey</displayName>
</mdContact>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">North Carolina State and County Boundary Polygons</resTitle>
<date>
<pubDate>2020-06-11T00:00:00</pubDate>
<reviseDate>2026-01-22T00:00:00</reviseDate>
<createDate>2011-11-30T00:00:00</createDate>
</date>
<citRespParty>
<rpOrgName>North Carolina Geodetic Survey</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>North Carolina Geodetic Survey</rpOrgName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>200 Park Offices Dr</delPoint>
<city>Durham</city>
<adminArea>NC</adminArea>
<postCode>27709</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">919-733-3836</voiceNum>
</cntPhone>
<cntInstr>More information at https://ncgs.state.nc.us/</cntInstr>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
<rpPosName>GIS Manager</rpPosName>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The North Carolina State and County Boundary vector polygon data provides location information for North Carolina State and County Boundary lines derived from the best available survey and/or Geographic Information System (GIS) data. Sources for information are the North Carolina Geodetic Survey (NCGS), NC Department of Transportation (NCDOT), United States Geological Survey (USGS), and field surveys conducted by licensed surveyors in North Carolina and neighboring states that have been approved and recorded in their respective counties. North Carolina Geodetic Survey assists counties on a cooperative basis (NC General Statute 153A-18) in defining and monumenting the location of uncertain or disputed boundaries as established by law. Some counties have completed boundary surveys for at least a portion of their county boundary. However, the majority of county boundaries have not been surveyed and are represented by the best currently available data from GIS sources, including NCDOT county maps (which originally came from the USGS) and updated county parcel maps.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>Vector polygon dataset defining the official boundaries of the counties within North Carolina as well as the boundaries between North Carolina and the states which border North Carolina.</idPurp>
<idStatus>
<ProgCd value="004"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintNote>Updated August 2020 to correct minor error in Orange-Chatham boundary, and to update portion of Burke-McDowell boundary.</maintNote>
<maintNote>Updated Jan 2025 to reduce extraneous vertices in areas that had been surveyed, to correct vertex positions in many of those areas, and to adjust numerous other boundaries that had been resurveyed.</maintNote>
<maintNote>Updated Jun 2025 to adjust the Catawba-Lincoln, Franklin-Granville, and Forsyth-Guilford boundaries that had been resurveyed or reestablished and to reduce extraneous vertices in those areas.</maintNote>
<maintNote>Updated Dec 2025 to revert previous changes to Catawba-Lincoln boundary and to adjust Jackson-Macon boundary which has been resurveyed/reestablished.</maintNote>
<maintNote>Updated Jan 2026 to adjust Davidson-Forsyth boundary.</maintNote>
</resMaint>
<searchKeys>
<keyword>NC</keyword>
<keyword>North Carolina</keyword>
<keyword>NC OneMap</keyword>
<keyword>Department of Public Safety</keyword>
<keyword>DPS</keyword>
<keyword>North Carolina Emergency Management</keyword>
<keyword>NCEM</keyword>
<keyword>North Carolina Geodetic Survey</keyword>
<keyword>NC Geodetic Survey</keyword>
<keyword>NCGS</keyword>
<keyword>boundaries</keyword>
<keyword>location</keyword>
<keyword>County Boundary</keyword>
<keyword>State Boundary</keyword>
<keyword>State</keyword>
<keyword>County</keyword>
<keyword>Boundary</keyword>
<keyword>Counties</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>Although these data have been processed successfully on a computer system at the NC Geodetic Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions or intended use. The NC Geodetic Survey shall not be held liable for improper or incorrect use of the data described.</useLimit>
</LegConsts>
</resConst>
<resConst>
<SecConsts>
<classSys>FIPS Pub 199</classSys>
<handDesc>Standard Technical Controls</handDesc>
<class>
<ClasscationCd value="001"/>
</class>
</SecConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Although these data have been processed successfully on a computer system at the NC Geodetic Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions or intended use. The NC Geodetic Survey shall not be held liable for improper or incorrect use of the data described.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<dataLang>
<languageCode value="eng"/>
<countryCode value="USA"/>
</dataLang>
<dataExt>
<exDesc>publication date</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2026-01-22T00:00:00</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<envirDesc Sync="FALSE">Esri ArcGIS 13.3.4.52636</envirDesc>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idCredit>North Carolina Geodetic Survey (NCGS)</idCredit>
<idPoC>
<rpOrgName>North Carolina Geodetic Survey</rpOrgName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>200 Park Offices Dr</delPoint>
<city>Durham</city>
<adminArea>NC</adminArea>
<postCode>27709</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">919-733-3836</voiceNum>
</cntPhone>
<cntInstr>More information at https://ncgs.state.nc.us/</cntInstr>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
<rpPosName>GIS Manager</rpPosName>
<displayName>North Carolina Geodetic Survey</displayName>
</idPoC>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-84.422109</westBL>
<eastBL Sync="TRUE">-75.416032</eastBL>
<northBL Sync="TRUE">36.617254</northBL>
<southBL Sync="TRUE">33.730554</southBL>
</GeoBndBox>
</geoEle>
<exDesc>geographic extent</exDesc>
</dataExt>
<tpCat>
<TopicCatCd value="003"/>
</tpCat>
<tpCat>
<TopicCatCd value="013"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</mdMaint>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<dataLineage>
<statement>Some counties have completed boundary surveys for at least a portion of their county boundary. However, the majority of county boundaries have not been surveyed and are represented by the best currently available data from GIS sources, including NCDOT county maps (which originally came from the USGS) and updated county parcel maps.</statement>
</dataLineage>
</dqInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="3404"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.12(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo>
<detailed Name="NC_State_County_Boundary_NAD832011">
<enttyp>
<enttypds>NCGS</enttypds>
<enttypl Sync="FALSE">NC_State_County_Boundary_NAD832011</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
<enttypd>Vector polygon data describing the boundaries of all 100 counties in North Carolina</enttypd>
</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">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>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl>County</attrlabl>
<attrdef>North Carolina County Name</attrdef>
<attrdefs>NCGS</attrdefs>
<attalias Sync="TRUE">County</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>Individual common names of counties in North Carolina</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FIPS</attrlabl>
<attrdef>Federal Information Processing Standard (FIPS) code from 1 to 199 for each county but not the same order as the DOT-CODE because it puts McDowell County before 4 counties (Macon, Madison, Martin, &amp; Mecklenburg)</attrdef>
<attrdefs>NCDOT</attrdefs>
<attalias Sync="TRUE">FIPS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>Integers from 1 to 199 (displayed as three-digit text with leading zeros) representing the FIPS code for the 100 counties in North Carolina</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>Rec_Survey</attrlabl>
<attrdef>Indicates if any modern survery information is recorded with the county. If information is available, please visit ncgs.state.nc.us for detailed information.</attrdef>
<attrdefs>NCGS</attrdefs>
<attalias Sync="TRUE">Rec_Survey</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>Text description indicating whether or not recorded survey information is available for each county.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>NCGS_url</attrlabl>
<attrdef>Direct URL to online map at North Carolina Geodetic Survey that contains information on where to find recorded survey maps for county and state lines. No value is present if there is no recorded information.</attrdef>
<attrdefs>NCGS</attrdefs>
<attalias Sync="TRUE">NCGS_url</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>For counties with recorded survey information, this field will contain the URL to the NC Geodetic Survey state and county boundary status map, which gives more detailed information as to which portions of the county boundary have been surveyed.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>ck_date</attrlabl>
<attrdef>Date of last review or update.</attrdef>
<attrdefs>NCGS</attrdefs>
<attalias Sync="TRUE">ck_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>Date indicating the last review or update of the boundary data for each county.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Leng</attrlabl>
<attalias Sync="TRUE">Shape_Leng</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>
<overview>
<eaover>County boundary polygons</eaover>
<eadetcit>North Carolina Geodetic Survey</eadetcit>
</overview>
</eainfo>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="NC_State_County_Boundary_NAD832011">
<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="NC_State_County_Boundary_NAD832011">
<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>
<mdDateSt Sync="TRUE">20260209</mdDateSt>
</metadata>
