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2022 Tract-level Indicators of Potential Disadvantage for the DVRPC Region
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:
Youth
Older Adults
Female
Racial Minority
Ethnic Minority
Foreign-Born
Disabled
Limited English Proficiency
Low-Income
Census tables used to gather data from the 2018-2022 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 2018-2022 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 |
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 |