<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250216</CreaDate>
<CreaTime>11263300</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;As part of the Regional Housing Initiative (RHI), the team conducted a submarket analysis. This analysis identifies &lt;/SPAN&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;2020 census tracts &lt;/SPAN&gt;&lt;SPAN&gt;with similar housing characteristics (density, price, market conditions) and groups them accordingly. This submarket analysis uses a Latent Profile Analysis (LPA) via the mclust package in R to group the region's 1,407 eligible census tracts (tracts with no households or population were removed) into one of eight submarkets. The team reviewed the existing conditions of these submarkets to identify their housing challenges and appropriate policies and strategies for each submarket.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Census tables used to gather data from the 2016-2020 American Community Survey 5-Year Estimates.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Data Dictionary&lt;/SPAN&gt;&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="font-weight:bold;margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Field&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="font-weight:bold;margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Name&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="font-weight:bold;margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Source&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;submarket&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Housing submarket&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;DVRPC&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;hhinc_med&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Median household income&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;rent_med&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Median gross rent&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;ten_rent&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of households that are renter-occupied&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;ten_own&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of households that are owner-occupied&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;vcy&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Residential vacancy rate &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;hhi_150p&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of households with incomes of $150,000 or higher&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;yb_59e&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units built in 1959 or earlier&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;yb_6099&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units built between 1960 and 1999&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;yb_00p&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units built since 2000&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;unit_1&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units that are 1 unit in structure&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;unit_2to4&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units that are 2 to 4 units in structure&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;unit_5p&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units that are 5 or more units in structure&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;pct_subsidized&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of housing units that are federally subsidized (Public housing, Section 8, LIHTC)&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020, National Housing Preservation Database (NHPD)&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;med21&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Median single family home sale price, 2021 &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Warren Group, 2021&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;pct_diff&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Median percent change in median single family home sale price, 2016-2021&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Warren Group, 2016 &amp;amp; 2021&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;hhs_1&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of households that are 1-person households&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;hhs_2to4&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of households that are 2- to 4-person households&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;hhs_5p&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Percent of households that are 5 or more person households&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;hu_acre&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Housing units per acre&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;U.S. Census Bureau, ACS 5-Year Estimates, 2016-2020&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&lt;SPAN&gt;Please contact Brian Carney, bcarney@dvrpc.org, for more information. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>DVRPC</keyword>
<keyword>Demographics</keyword>
<keyword>Housing</keyword>
<keyword>Planning</keyword>
</searchKeys>
<idPurp>This submarket data represents the median values for various indicators for each of the eight (1-8) regional housing submarkets. The table also includes the regional medians for these indicators, defined in this data as submarket "9".</idPurp>
<idCredit>Delaware Valley Regional Planning Commission (DVRPC), United States Census Bureau, The Warren Group, National Housing Preservation Database (NHPD)</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;https://catalog.dvrpc.org/dvrpc_data_license.html&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Regional Housing Submarkets</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
