<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260601</CreaDate>
<CreaTime>12343200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>CensusTribalTracts</resTitle>
</idCitation>
<idAbs>The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For the 2010 Census, tribal census tracts are defined independently of the standard county-based census tract delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 2,400, a single tribal census tract is defined. Qualifying areas with a population greater than 2,400 could define additional tribal census tracts within their area. The tribal census tract codes for the 2010 Census are six characters long with a leading "T" alphabetic character followed by a five-digit numeric code, for example, T01000, which translates as tribal census tract 10. Tribal block groups nest within tribal census tracts. Since individual tabulation blocks are defined within the standard State-county-census tract geographic hierarchy, a tribal census tract can contain seemingly duplicate block numbers, thus tribal census tracts cannot be used to uniquely identify census tabulation blocks for the 2010 Census. The boundaries of tribal census tracts are those delineated through the Tribal Statistical Areas Program (TSAP) for the 2010 Census.</idAbs>
<searchKeys>
<keyword>NGDA</keyword>
<keyword>Governmental Units and Administrative and Statistical Boundaries Theme</keyword>
<keyword>National Geospatial Data Asset</keyword>
<keyword>Nation</keyword>
<keyword>Polygon</keyword>
<keyword>Tribal Census Tract</keyword>
<keyword>Boundaries</keyword>
</searchKeys>
<idPurp>Census Tribal Tracts</idPurp>
<idCredit>US Census Bureau</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
