Title VI of the Civil Rights Act and the Executive Order on Environmental Justice (#12898) do not provide specific guidance to evaluate EJ issues within a region's transportation planning process. Therefore, MPOs must devise their own methods for ensuring that EJ issues are investigated and evaluated in transportation decision-making. In 2001, DVRPC developed an EJ technical assessment to identify direct and disparate impacts of its plans, programs, and planning process on defined population groups in the Delaware Valley region. This assessment, called the Indicators of Potential Disadvantage Methodology, is utilized in a variety of DVRPC plans and programs. DVRPC currently assesses the following population groups, defined by the U.S. Census Bureau:YouthOlder AdultsFemaleRacial MinorityEthnic MinorityForeign-BornDisabledLimited English ProficiencyLow-IncomeCensus tables used to gather data from the 2017-2021 American Community Survey 5-Year EstimatesUsing U.S. Census American Community Survey data, the population groups listed above are identified and located at the census tract level. Data is gathered at the regional level, combining populations from each of the nine counties, for either individuals or households, depending on the indicator. From there, the total number of persons in each demographic group is divided by the appropriate universe (either population or households) for the nine-county region, providing a regional average for that population group. Any census tract that meets or exceeds the regional average level, or threshold, is considered an EJ-sensitive tract for that group.Census tables used to gather data from the 2017-2021 American Community Survey 5-Year Estimates.For more information and for methodology, visit DVRPC's website: https://www.dvrpc.org/GetInvolved/TitleVI/For technical documentation visit DVRPC's GitHub IPD repo: https://github.com/dvrpc/ipdSource of tract boundaries: US Census Bureau. The TIGER/Line FilesNote: Tracts with null values should be symbolized as "Insufficient or No Data".Data Dictionary for Attributes: (Source = DVRPC indicates a calculated field)FieldAliasDescriptionSourcegeoid20GEOID20Census tract identifier (text)Censusstatefp20State FIPSFIPS Code for StateCensuscountyfp20County FIPSFIPS Code for CountyCensusname20Tract NumberTract NumberCensusd_classDisabled ClassificationClassification of tract's disabled percentage as: well below average, below average, average, above average, or well above averageDVRPCd_cntestDisabled Count EstimateEstimated count of disabled populationCensusd_cntmoeDisabled Count MOEMargin of error for estimated count of disabled populationCensusd_pctestDisabled Percentage EstimateEstimated percentage of disabled populationDVRPCd_pctileDisabled PercentileTract's regional percentile for percentage disabledDVRPCd_pctmoeDisabled Percentage MOEMargin of error for percentage of disabled populationDVRPCd_scoreDisabled ScoreCorresponding numeric score for tract's disabled classification: 0, 1, 2, 3, 4DVRPCem_classEthnic Minority ClassificationClassification of tract's Hispanic/Latino percentage as: well below average, below average, average, above average, or well above averageDVRPCem_cntestEthnic Minority Count EstimateEstimated count of Hispanic/Latino populationCensusem_cntmoeEthnic Minority Count MOEMargin of error for estimated count of Hispanic/Latino populationCensusem_pctestEthnic Minority Percentage EstimateEstimated percentage of Hispanic/Latino populationDVRPCem_pctileEthnic Minority PercentileTract's regional percentile for percentage Hispanic/LatinoDVRPCem_pctmoeEthnic Minority Percentage MOEMargin of error for percentage of Hispanic/Latino populationDVRPCem_scoreEthnic Minority ScoreCorresponding numeric score for tract's Hispanic/Latino classification: 0, 1, 2, 3, 4DVRPCf_classFemale ClassificationClassification of tract's female percentage as: well below average, below average, average, above average, or well above averageDVRPCf_cntestFemale Count EstimateEstimated count of female populationCensusf_cntmoeFemale Count MOEMargin of error for estimated count of female populationCensusf_pctestFemale Percentage EstimateEstimated percentage of female populationDVRPCf_pctileFemale PercentileTract's regional percentile for percentage femaleDVRPCf_pctmoeFemale Percentage MOEMargin of error for percentage of female populationDVRPCf_scoreFemale ScoreCorresponding numeric score for tract's female classification: 0, 1, 2, 3, 4DVRPCfb_classForeign Born ClassificationClassification of tract's foreign born percentage as: well below average, below average, average, above average, or well above averageDVRPCfb_cntestForeign Born Count EstimateEstimated count of foreign born populationCensusfb_cntmoeForeign Born Count MOEMargin of error for estimated count of foreign born populationCensusfb_pctestForeign Born Percentage EstimateEstimated percentage of foreign born populationDVRPCfb_pctileForeign Born PercentileTract's regional percentile for percentage foreign bornDVRPCfb_pctmoeForeign Born Percentage MOEMargin of error for percentage of foreign born populationDVRPCfb_scoreForeign Born ScoreCorresponding numeric score for tract's foreign born classification: 0, 1, 2, 3, 4DVRPClep_classLimited English Proficiency Count EstimateEstimated count of limited english proficiency populationCensuslep_cntestLimited English Proficiency Count MOEMargin of error for estimated count of limited english proficiency populationCensuslep_cntmoeLimited English Proficiency Percentage EstimateEstimated percentage of limited english proficiency populationDVRPClep_pctestLimited English Proficiency Percentage MOEMargin of error for percentage of limited english proficiency populationDVRPClep_pctileLimited English Proficiency PercentileTract's regional percentile for percentage limited english proficiencyDVRPClep_pctmoeLimited English Proficiency ClassificationClassification of tract's limited english proficiency percentage as: well below average, below average, average, above average, or well above averageDVRPClep_scoreLimited English Proficiency ScoreCorresponding numeric score for tract's limited english proficiency classification: 0, 1, 2, 3, 4DVRPCli_classLow Income ClassificationClassification of tract's low income percentage as: well below average, below average, average, above average, or well above averageDVRPCli_cntestLow Income Count EstimateEstimated count of low income (below 200% of poverty level) populationCensusli_cntmoeLow Income Count MOEMargin of error for estimated count of low income populationCensusli_pctestLow Income Percentage EstimateEstimated percentage of low income (below 200% of poverty level) populationDVRPCli_pctileLow Income PercentileTract's regional percentile for percentage low incomeDVRPCli_pctmoeLow Income Percentage MOEMargin of error for percentage of low income populationDVRPCli_scoreLow Income ScoreCorresponding numeric score for tract's low income classification: 0, 1, 2, 3, 4DVRPCoa_classOlder Adult ClassificationClassification of tract's older adult percentage as: well below average, below average, average, above average, or well above averageDVRPCoa_cntestOlder Adult Count EstimateEstimated count of older adult population (65 years or older)Censusoa_cntmoeOlder Adult Count MOEMargin of error for estimated count of older adult populationCensusoa_pctestOlder Adult Percentage EstimateEstimated percentage of older adult population (65 years or older)DVRPCoa_pctileOlder Adult PercentileTract's regional percentile for percentage older adultDVRPCoa_pctmoeOlder Adult Percentage MOEMargin of error for percentage of older adult populationDVRPCoa_scoreOlder Adult ScoreCorresponding numeric score for tract's older adult classification: 0, 1, 2, 3, 4DVRPCrm_classRacial Minority ClassificationClassification of tract's non-white percentage as: well below average, below average, average, above average, or well above averageDVRPCrm_cntestRacial Minority Count EstimateEstimated count of non-white populationDVRPCrm_cntmoeRacial Minority Count MOEMargin of error for estimated count of non-white populationDVRPCrm_pctestRacial Minority Percentage EstimateEstimated percentage of non-white populationDVRPCrm_pctileRacial Minority PercentileTract's regional percentile for percentage non-whiteDVRPCrm_pctmoeRacial Minority Percentage MOEMargin of error for percentage of non-white populationDVRPCrm_scoreRacial Minority ScoreCorresponding numeric score for tract's non-white classification: 0, 1, 2, 3, 4DVRPCy_classYouth ClassificationClassification of tract's youth percentage as: well below average, below average, average, above average, or well above averageDVRPCy_cntestYouth Count EstimateEstimated count of youth population (under 18 years)Censusy_cntmoeYouth Count MOEMargin of error for estimated count of youth populationCensusy_pctestYouth Percentage EstimateEstimated percentage of youth population (under 18 years)DVRPCy_pctileYouth PercentileTract's regional percentile for percentage youthDVRPCy_pctmoeYouth Percentage MOEMargin of error for percentage of youth populationDVRPCy_scoreYouth ScoreCorresponding numeric score for tract's youth classification: 0, 1, 2, 3, 4DVRPCipd_scoreComposite ScoreOverall score adding the classification scores across all nine variablesDVRPCu_tpopestTotal Population EstimateEstimated total population of tract (universe [or denominator] for youth, older adult, female, racial minoriry, ethnic minority, & foreign born)Censusu_tpopmoeTotal Population MOEMargin of error for estimated total population of tractCensusu_pop6estPopulation 6+Estimated population over five years of age (universe [or denominator] for limited english proficiency)Censusu_pop6moePopulation 6+ MOEMargin of error for estimated population over five years of ageCensusu_ppovestPoverty Status Pop EstimateEstimated population for whom poverty status is determined (universe [or denominator] for low income)Censusu_ppovmoePoverty Status Pop MOEMargin of error for estimated population for whom poverty status is determinedCensusu_pnicestNon-Institutional Civilian Pop EstimateEstimated noninsitutional civilian population (universe [or denominator] for disabled)Censusu_pnicmoeNon-Institutional Civilian Pop MOEMargin of error for estimated noninstitutional civilian populationCensusnamelsadTract NumberCensus tract identifier with decimal placesDVRPCmun1Municipality 1Municipality the census tract falls withinDVRPCmun2Municipality 2Second municipality the census tract falls withinDVRPCmun3Municipality 3Third municipality the census tract falls withinDVRPCco_nameCounty NameCounty nameDVRPCstateState NameState nameDVRPC