2023 Tract-level Indicators of Potential Disadvantage for the DVRPC Region Title VI of the Civil Rights Act states that "no person in the United States, shall, on the grounds of race, color, or national origin be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any program or activity receiving federal financial assistance.” Under Title VI of the Civil Rights Act, Metropolitan Planning Organizations (MPOs) are directed to create a method for ensuring that Title VI compliance issues are investigated and evaluated in transportation decision-making. There is additional guidance from the FHWA’s Title VI and Additional Nondiscrimination requirements (2017), and FTA’s Title VI requirements and guidelines (2012). The Indicators of Potential Disadvantage (IPD) analysis is used throughout DVRPC to demonstrate compliance with Title VI of the Civil Rights Act. 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: - Youth - Older Adults - Female - Racial Minority - Ethnic Minority - Foreign-Born - Disabled - Limited English Proficiency - Low-Income Census tables used to gather data from the 2019-2023 American Community Survey 5-Year Estimates Using 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 2019-2023 American Community Survey 5-Year Estimates. For more information and for methodology, visit DVRPC's website:http://www.dvrpc.org/GetInvolved/TitleVI/ For technical documentation visit DVRPC's GitHub IPD repo: https://github.com/dvrpc/ipd Source of tract boundaries: 2020 US Census Bureau, TIGER/Line Shapefiles Note: Tracts with null values should be symbolized as "Insufficient or No Data". Data Dictionary for Attributes: (Source = DVRPC indicates a calculated field)

Field | Alias | Description | Source --- | --- | --- | --- year | IPD analysis year | | DVRPC geoid20 | 11-digit tract GEOID | Census tract identifier | ACS 5-year statefp | 2-digit state GEOID | FIPS Code for State | ACS 5-year countyfp | 3-digit county GEOID | FIPS Code for County | ACS 5-year tractce | Tract number | Tract Number | ACS 5-year name | Tract number | Census tract identifier with decimal places | ACS 5-year namelsad | Tract name | Census tract name with decimal places | ACS 5-year d_class | Disabled percentile class | Classification of tract's disabled percentage as: well below average, below average, average, above average, or well above average | calculated d_est | Disabled count estimate | Estimated count of disabled population | ACS 5-year d_est_moe | Disabled count margin of error | Margin of error for estimated count of disabled population | ACS 5-year d_pct | Disabled percent estimate | Estimated percentage of disabled population | ACS 5-year d_pct_moe | Disabled percent margin of error | Margin of error for percentage of disabled population | ACS 5-year d_pctile | Disabled percentile | Tract's regional percentile for percentage disabled | calculated d_score | Disabled percentile score | Corresponding numeric score for tract's disabled classification: 0, 1, 2, 3, 4 | calculated em_class | Ethnic minority percentile class | Classification of tract's Hispanic/Latino percentage as: well below average, below average, average, above average, or well above average | calculated em_est | Ethnic minority count estimate | Estimated count of Hispanic/Latino population | ACS 5-year em_est_moe | Ethnic minority count margin of error | Margin of error for estimated count of Hispanic/Latino population | ACS 5-year em_pct | Ethnic minority percent estimate | Estimated percentage of Hispanic/Latino population | calculated em_pct_moe | Ethnic minority percent margin of error | Margin of error for percentage of Hispanic/Latino population | calculated em_pctile | Ethnic minority percentile | Tract's regional percentile for percentage Hispanic/Latino | calculated em_score | Ethnic minority percentile score | Corresponding numeric score for tract's Hispanic/Latino classification: 0, 1, 2, 3, 4 | calculated f_class | Female percentile class | Classification of tract's female percentage as: well below average, below average, average, above average, or well above average | calculated f_est | Female count estimate | Estimated count of female population | ACS 5-year f_est_moe | Female count margin of error | Margin of error for estimated count of female population | ACS 5-year f_pct | Female percent estimate | Estimated percentage of female population | ACS 5-year f_pct_moe | Female percent margin of error | Margin of error for percentage of female population | ACS 5-year f_pctile | Female percentile | Tract's regional percentile for percentage female | calculated f_score | Female percentile score | Corresponding numeric score for tract's female classification: 0, 1, 2, 3, 4 | calculated fb_class | Foreign-born percentile class | Classification of tract's foreign born percentage as: well below average, below average, average, above average, or well above average | calculated fb_est | Foreign-born count estimate | Estimated count of foreign born population | ACS 5-year fb_est_moe | Foreign-born count margin of error | Margin of error for estimated count of foreign born population | ACS 5-year fb_pct | Foreign-born percent estimate | Estimated percentage of foreign born population | calculated fb_pct_moe | Foreign-born percent margin of error | Margin of error for percentage of foreign born population | calculated fb_pctile | Foreign-born percentile | Tract's regional percentile for percentage foreign born | calculated fb_score | Foreign-born percentile score | Corresponding numeric score for tract's foreign born classification: 0, 1, 2, 3, 4 | calculated le_class | Limited English proficiency percentile class | Classification of tract's limited english proficiency percentage as: well below average, below average, average, above average, or well above average | calculated le_est | Limited English proficiency count estimate | Estimated count of limited english proficiency population | ACS 5-year le_est_moe | Limited English proficiency count margin of error | Margin of error for estimated count of limited english proficiency population | ACS 5-year le_pct | Limited English proficiency percent estimate | Estimated percentage of limited english proficiency population | ACS 5-year le_pct_moe | Limited English proficiency percent margin of error | Margin of error for percentage of limited english proficiency population | ACS 5-year le_pctile | Limited English proficiency percentile | Tract's regional percentile for percentage limited english proficiency | calculated le_score | Limited English proficiency percentile score | Corresponding numeric score for tract's limited english proficiency classification: 0, 1, 2, 3, 4 | calculated li_class | Low-income percentile class | Classification of tract's low income percentage as: well below average, below average, average, above average, or well above average | calculated li_est | Low-income count estimate | Estimated count of low income (below 200% of poverty level) population | ACS 5-year li_est_moe | Low-income count margin of error | Margin of error for estimated count of low income population | ACS 5-year li_pct | Low-income percent estimate | Estimated percentage of low income (below 200% of poverty level) population | calculated li_pct_moe | Low-income percent margin of error | Margin of error for percentage of low income population | calculated li_pctile | Low-income percentile | Tract's regional percentile for percentage low income | calculated li_score | Low-income percentile score | Corresponding numeric score for tract's low income classification: 0, 1, 2, 3, 4 | calculated oa_class | Older adult percentile class | Classification of tract's older adult percentage as: well below average, below average, average, above average, or well above average | calculated oa_est | Older adult count estimate | Estimated count of older adult population (65 years or older) | ACS 5-year oa_est_moe | Older adult count margin of error | Margin of error for estimated count of older adult population | ACS 5-year oa_pct | Older adult percent estimate | Estimated percentage of older adult population (65 years or older) | ACS 5-year oa_pct_moe | Older adult percent margin of error | Margin of error for percentage of older adult population | ACS 5-year oa_pctile | Older adult percentile | Tract's regional percentile for percentage older adult | calculated oa_score | Older adult percentile score | Corresponding numeric score for tract's older adult classification: 0, 1, 2, 3, 4 | calculated rm_class | Racial minority percentile class | Classification of tract's non-white percentage as: well below average, below average, average, above average, or well above average | calculated rm_est | Racial minority count estimate | Estimated count of non-white population | ACS 5-year rm_est_moe | Racial minority count margin of error | Margin of error for estimated count of non-white population | ACS 5-year rm_pct | Racial minority percent estimate | Estimated percentage of non-white population | calculated rm_pct_moe | Racial minority percent margin of error | Margin of error for percentage of non-white population | calculated rm_pctile | Racial minority percentile | Tract's regional percentile for percentage non-white | calculated rm_score | Racial minority percentile score | Corresponding numeric score for tract's non-white classification: 0, 1, 2, 3, 4 | calculated tot_pp | Total population estimate | Estimated total population of tract (universe [or denominator] for youth, older adult, female, racial minoriry, ethnic minority, & foreign born) | ACS 5-year tot_pp_moe | Total population margin of error | Margin of error for estimated total population of tract | ACS 5-year y_class | Youth percentile class | Classification of tract's youth percentage as: well below average, below average, average, above average, or well above average | calculated y_est | Youth count estimate | Estimated count of youth population (under 18 years) | ACS 5-year y_est_moe | Youth count margin of error | Margin of error for estimated count of youth population | ACS 5-year y_pct | Youth population percentage estimate | Estimated percentage of youth population (under 18 years) | calculated y_pct_moe | Youth population percentage margin of error | Margin of error for percentage of youth population | calculated y_pctile | Youth population percentile | Tract's regional percentile for percentage youth | calculated y_score | Youth percentile score | Corresponding numeric score for tract's youth classification: 0, 1, 2, 3, 4 | calculated ipd_score | Indicator of potential disadvantage score | Overall score adding the classification scores across all nine variables | calculated t6_class | Title VI population class | Classification of tract's Title IV populations as: well below average, below average, average, above average, or well above average | calculated t6_score | Title VI population score | Corresponding numeric score for tract's Title IV population classification: 0, 1, 2, 3, 4 | calculated | | | | | | | | | | | | mun1 | First municipality name | Municipality the census tract falls within | calculated from crosswalk mun2 | Second municipality name | Second municipality the census tract falls within | calculated from crosswalk mun3 | Third municipality name | Third municipality the census tract falls within | calculated from crosswalk mcdgeo1 | First municipality unique identifier | Municipality the census tract falls within | calculated from crosswalk mcdgeo2 | Second municipality unique identifier | Second municipality the census tract falls within | calculated from crosswalk mcdgeo3 | Third municipality unique identifier | Third municipality the census tract falls within | calculated from crosswalk co_name | County Name | County name | ACS 5-year state | State name | State name | ACS 5-year