<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260504</CreaDate>
<CreaTime>13471100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;This resource is a member of a series. 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. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>U.S. Department of Commerce</keyword>
<keyword>U.S. Census Bureau</keyword>
<keyword>Geography Division</keyword>
<keyword>Geospatial Products Branch</keyword>
</searchKeys>
<idPurp>The Census Bureau releases extracts of the MAF/TIGER database in the form of TIGER/Line Shapefiles for others to use in geographic information systems (GIS) or for other geographic applications.</idPurp>
<idCredit>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>TIGER/Line Shapefile, 2023, State, Pennsylvania, PA, County Subdivision</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
