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snippet: MTC Communities of Concern based on ACS 2012-2016 and adopted in 2018
summary: MTC Communities of Concern based on ACS 2012-2016 and adopted in 2018
accessInformation: Metropolitan Transportation Commission (MTC)
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maxScale: 5000
typeKeywords: []
description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The 2018 update of MTC's Communities of Concern follows the Adopted Communities of Concern (COC) Framework for Plan Bay Area 2040, and is based on on 2012-2016 American Community Survey (ACS) 5-year tract level data. The MTC COC Framework is based on the following variables: </SPAN></P><P><SPAN>Minority (70% threshold) </SPAN></P><P><SPAN>Low-Income (less than 200% of Fed. poverty level, 28% threshold) </SPAN></P><P><SPAN>Level of English Proficiency (12% threshold) </SPAN></P><P><SPAN>Seniors 75 Years and Over (8% threshold) </SPAN></P><P><SPAN>Zero-Vehicle Households (15% threshold) </SPAN></P><P><SPAN>Single Parent Households (18% threshold)</SPAN></P><P><SPAN>People with a Disability (12% threshold) </SPAN></P><P><SPAN>Rent-Burdened Households (14% threshold) </SPAN></P><P><SPAN>If a tract exceeds both threshold values for Low-Income and Minority shares OR exceeds the threshold value for Low-Income AND also exceeds the threshold values for three or more variables, it is a CoC.</SPAN></P><P><SPAN>This dataset is based on a point-in-time analysis and subsequent adoption by MTC. It is not maintained but is superseded by a new version approx. every four years. Note that subsequent versions have been renamed to Equity Priority Communities. </SPAN></P><P><SPAN>More information: https://github.com/BayAreaMetro/Spatial-Analysis-Mapping-Projects/blob/master/Project-Documentation/Equity-Priority-Communities/README_COC_ACS2016.md</SPAN></P></DIV></DIV></DIV>
licenseInfo: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>External Public Facing</SPAN></P></DIV></DIV></DIV>
catalogPath:
title: GeoDOT.DOT.CommunitiesOfConcern2018
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tags: ["Transportation","Demographics","Planning","Community","Concern","Poverty","Equity","Equality","Priority","Equitable","Demographic","ACS","Census","Reference","San Jose","GeoDOT"]
culture: en-US
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minScale: 150000000
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