20220504 09343200 1.0 ISO 19139 Metadata Implementation Specification TRUE Transportation Analysis Zones (2020) show where the population that is non-white or Hispanic is higher than the regional average of 44.2% and the low income population (below 200% of the poverty level) is higher than the regional average of 21.4% from the 2016-2020 American Community Survey 5-Year Estimates. Data shown for the Baltimore region only. Margins of error are not shown. equity environmental justice TAZ traffic analysis zone minority low income poverty BMC Baltimore Metropolitan Council ACS American Community Survey Low Income and Minority populations by 2020 TAZ Baltimore Metropolitan Council, 2016-2020 American Community Survey 5-Year Estimates TAZ_EJ1620 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