2021 Tract-level Indicators of Potential Disadvantage

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 2017-2021 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 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/ipd Source of tract boundaries: US Census Bureau. The TIGER/Line Files 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 geoid20 GEOID20 Census tract identifier (text) Census statefp20 State FIPS FIPS Code for State Census countyfp20 County FIPS FIPS Code for County Census name20 Tract Number Tract Number Census d_class Disabled Classification Classification of tract's disabled percentage as: well below average, below average, average, above average, or well above average DVRPC d_cntest Disabled Count Estimate Estimated count of disabled population Census d_cntmoe Disabled Count MOE Margin of error for estimated count of disabled population Census d_pctest Disabled Percentage Estimate Estimated percentage of disabled population DVRPC d_pctile Disabled Percentile Tract's regional percentile for percentage disabled DVRPC d_pctmoe Disabled Percentage MOE Margin of error for percentage of disabled population DVRPC d_score Disabled Score Corresponding numeric score for tract's disabled classification: 0, 1, 2, 3, 4 DVRPC em_class Ethnic Minority Classification Classification of tract's Hispanic/Latino percentage as: well below average, below average, average, above average, or well above average DVRPC em_cntest Ethnic Minority Count Estimate Estimated count of Hispanic/Latino population Census em_cntmoe Ethnic Minority Count MOE Margin of error for estimated count of Hispanic/Latino population Census em_pctest Ethnic Minority Percentage Estimate Estimated percentage of Hispanic/Latino population DVRPC em_pctile Ethnic Minority Percentile Tract's regional percentile for percentage Hispanic/Latino DVRPC em_pctmoe Ethnic Minority Percentage MOE Margin of error for percentage of Hispanic/Latino population DVRPC em_score Ethnic Minority Score Corresponding numeric score for tract's Hispanic/Latino classification: 0, 1, 2, 3, 4 DVRPC f_class Female Classification Classification of tract's female percentage as: well below average, below average, average, above average, or well above average DVRPC f_cntest Female Count Estimate Estimated count of female population Census f_cntmoe Female Count MOE Margin of error for estimated count of female population Census f_pctest Female Percentage Estimate Estimated percentage of female population DVRPC f_pctile Female Percentile Tract's regional percentile for percentage female DVRPC f_pctmoe Female Percentage MOE Margin of error for percentage of female population DVRPC f_score Female Score Corresponding numeric score for tract's female classification: 0, 1, 2, 3, 4 DVRPC fb_class Foreign Born Classification Classification of tract's foreign born percentage as: well below average, below average, average, above average, or well above average DVRPC fb_cntest Foreign Born Count Estimate Estimated count of foreign born population Census fb_cntmoe Foreign Born Count MOE Margin of error for estimated count of foreign born population Census fb_pctest Foreign Born Percentage Estimate Estimated percentage of foreign born population DVRPC fb_pctile Foreign Born Percentile Tract's regional percentile for percentage foreign born DVRPC fb_pctmoe Foreign Born Percentage MOE Margin of error for percentage of foreign born population DVRPC fb_score Foreign Born Score Corresponding numeric score for tract's foreign born classification: 0, 1, 2, 3, 4 DVRPC lep_class Limited English Proficiency Count Estimate Estimated count of limited english proficiency population Census lep_cntest Limited English Proficiency Count MOE Margin of error for estimated count of limited english proficiency population Census lep_cntmoe Limited English Proficiency Percentage Estimate Estimated percentage of limited english proficiency population DVRPC lep_pctest Limited English Proficiency Percentage MOE Margin of error for percentage of limited english proficiency population DVRPC lep_pctile Limited English Proficiency Percentile Tract's regional percentile for percentage limited english proficiency DVRPC lep_pctmoe Limited English Proficiency Classification Classification of tract's limited english proficiency percentage as: well below average, below average, average, above average, or well above average DVRPC lep_score Limited English Proficiency Score Corresponding numeric score for tract's limited english proficiency classification: 0, 1, 2, 3, 4 DVRPC li_class Low Income Classification Classification of tract's low income percentage as: well below average, below average, average, above average, or well above average DVRPC li_cntest Low Income Count Estimate Estimated count of low income (below 200% of poverty level) population Census li_cntmoe Low Income Count MOE Margin of error for estimated count of low income population Census li_pctest Low Income Percentage Estimate Estimated percentage of low income (below 200% of poverty level) population DVRPC li_pctile Low Income Percentile Tract's regional percentile for percentage low income DVRPC li_pctmoe Low Income Percentage MOE Margin of error for percentage of low income population DVRPC li_score Low Income Score Corresponding numeric score for tract's low income classification: 0, 1, 2, 3, 4 DVRPC oa_class Older Adult Classification Classification of tract's older adult percentage as: well below average, below average, average, above average, or well above average DVRPC oa_cntest Older Adult Count Estimate Estimated count of older adult population (65 years or older) Census oa_cntmoe Older Adult Count MOE Margin of error for estimated count of older adult population Census oa_pctest Older Adult Percentage Estimate Estimated percentage of older adult population (65 years or older) DVRPC oa_pctile Older Adult Percentile Tract's regional percentile for percentage older adult DVRPC oa_pctmoe Older Adult Percentage MOE Margin of error for percentage of older adult population DVRPC oa_score Older Adult Score Corresponding numeric score for tract's older adult classification: 0, 1, 2, 3, 4 DVRPC rm_class Racial Minority Classification Classification of tract's non-white percentage as: well below average, below average, average, above average, or well above average DVRPC rm_cntest Racial Minority Count Estimate Estimated count of non-white population DVRPC rm_cntmoe Racial Minority Count MOE Margin of error for estimated count of non-white population DVRPC rm_pctest Racial Minority Percentage Estimate Estimated percentage of non-white population DVRPC rm_pctile Racial Minority Percentile Tract's regional percentile for percentage non-white DVRPC rm_pctmoe Racial Minority Percentage MOE Margin of error for percentage of non-white population DVRPC rm_score Racial Minority Score Corresponding numeric score for tract's non-white classification: 0, 1, 2, 3, 4 DVRPC y_class Youth Classification Classification of tract's youth percentage as: well below average, below average, average, above average, or well above average DVRPC y_cntest Youth Count Estimate Estimated count of youth population (under 18 years) Census y_cntmoe Youth Count MOE Margin of error for estimated count of youth population Census y_pctest Youth Percentage Estimate Estimated percentage of youth population (under 18 years) DVRPC y_pctile Youth Percentile Tract's regional percentile for percentage youth DVRPC y_pctmoe Youth Percentage MOE Margin of error for percentage of youth population DVRPC y_score Youth Score Corresponding numeric score for tract's youth classification: 0, 1, 2, 3, 4 DVRPC ipd_score Composite Score Overall score adding the classification scores across all nine variables DVRPC u_tpopest Total Population Estimate Estimated total population of tract (universe [or denominator] for youth, older adult, female, racial minoriry, ethnic minority, & foreign born) Census u_tpopmoe Total Population MOE Margin of error for estimated total population of tract Census u_pop6est Population 6+ Estimated population over five years of age (universe [or denominator] for limited english proficiency) Census u_pop6moe Population 6+ MOE Margin of error for estimated population over five years of age Census u_ppovest Poverty Status Pop Estimate Estimated population for whom poverty status is determined (universe [or denominator] for low income) Census u_ppovmoe Poverty Status Pop MOE Margin of error for estimated population for whom poverty status is determined Census u_pnicest Non-Institutional Civilian Pop Estimate Estimated noninsitutional civilian population (universe [or denominator] for disabled) Census u_pnicmoe Non-Institutional Civilian Pop MOE Margin of error for estimated noninstitutional civilian population Census namelsad Tract Number Census tract identifier with decimal places DVRPC mun1 Municipality 1 Municipality the census tract falls within DVRPC mun2 Municipality 2 Second municipality the census tract falls within DVRPC mun3 Municipality 3 Third municipality the census tract falls within DVRPC co_name County Name County name DVRPC state State Name State name DVRPC

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objectid
geoid20
statefp20
countyfp20
name20
d_class
d_cntest
d_cntmoe
d_pctest
d_pctile
d_pctmoe
d_score
em_class
em_cntest
em_cntmoe
em_pctest
em_pctile
em_pctmoe
em_score
f_class
f_cntest
f_cntmoe
f_pctest
f_pctile
f_pctmoe
f_score
fb_class
fb_cntest
fb_cntmoe
fb_pctest
fb_pctile
fb_pctmoe
fb_score
lep_class
lep_cntest
lep_cntmoe
lep_pctest
lep_pctile
lep_pctmoe
lep_score
li_class
li_cntest
li_cntmoe
li_pctest
li_pctile
li_pctmoe
li_score
oa_class
oa_cntest
oa_cntmoe
oa_pctest
oa_pctile
oa_pctmoe
oa_score
rm_class
rm_cntest
rm_cntmoe
rm_pctest
rm_pctile
rm_pctmoe
rm_score
y_class
y_cntest
y_cntmoe
y_pctest
y_pctile
y_pctmoe
y_score
ipd_score
u_tpopest
u_tpopmoe
u_pop6est
u_pop6moe
u_ppovest
u_ppovmoe
u_pnicest
u_pnicmoe
namelsad
mun1
mun2
mun3
co_name
state

Data Dictionary

Column Type Label Description
objectid OID OBJECTID Internal feature number.
Youth Count Estimate Double Y_CntEst
GEOID20 String GEOID20
State FIPS String STATEFP20
County FIPS String COUNTYFP20
Tract Number String NAME20
Youth Count MOE Double Y_CntMOE
Youth Percentage Estimate Double Y_PctEst
Youth Percentage MOE Double Y_PctMOE
Youth Percentile Double Y_Pctile
Youth Classification String Y_Class
Youth Score Double Y_Score
Older Adult Count Estimate Double OA_CntEst
Older Adult Count MOE Double OA_CntMOE
Older Adult Percentage Estimate Double OA_PctEst
Older Adult Percentage MOE Double OA_PctMOE
Older Adult Percentile Double OA_Pctile
Older Adult Classification String OA_Class
Older Adult Score Double OA_Score
Female Count Estimate Double F_CntEst
Female Count MOE Double F_CntMOE
Female Percentage Estimate Double F_PctEst
Female Percentage MOE Double F_PctMOE
Female Percentile Double F_Pctile
Female Classification String F_Class
Female Score Double F_Score
Racial Minority Count Estimate Double RM_CntEst
Racial Minority Count MOE Double RM_CntMOE
Racial Minority Percentage Estimate Double RM_PctEst
Racial Minority Percentage MOE Double RM_PctMOE
Racial Minority Percentile Double RM_Pctile
Racial Minority Classification String RM_Class
Racial Minority Score Double RM_Score
Ethnic Minority Count Estimate Double EM_CntEst
Ethnic Minority Count MOE Double EM_CntMOE
Ethnic Minority Percentage Estimate Double EM_PctEst
Ethnic Minority Percentage MOE Double EM_PctMOE
Ethnic Minority Percentile Double EM_Pctile
Ethnic Minority Classification String EM_Class
Ethnic Minority Score Double EM_Score
Foreign Born Count Estimate Double FB_CntEst
Foreign Born Count MOE Double FB_CntMOE
Foreign Born Percentage Estimate Double FB_PctEst
Foreign Born Percentage MOE Double FB_PctMOE
Foreign Born Percentile Double FB_Pctile
Foreign Born Classification String FB_Class
Foreign Born Score Double FB_Score
Limited English Proficiency Count Estimate Double LEP_CntEst
Limited English Proficiency Count MOE Double LEP_CntMoe
Limited English Proficiency Percentage Estimate Double LEP_PctEst
Limited English Proficiency Percentage MOE Double LEP_PctMOE
Limited English Proficiency Percentile Double LEP_Pctile
Limited English Proficiency Classification String LEP_Class
Limited English Proficiency Score Double LEP_Score
Disabled Count Estimate Double D_CntEst
Disabled Count MOE Double D_CntMOE
Disabled Percentage Estimate Double D_PctEst
Disabled Percentage MOE Double D_PctMOE
Disabled Percentile Double D_Pctile
Disabled Classification String D_Class
Disabled Score Double D_Score
Low Income Count Estimate Double LI_CntEst
Low Income Count MOE Double LI_CntMOE
Low Income Percentage Estimate Double LI_PctEst
Low Income Percentage MOE Double LI_PctMOE
Low Income Percentile Double LI_Pctile
Low Income Classification String LI_Class
Low Income Score Double LI_Score
Composite Score Double IPD_Score
Total Population Estimate Double U_TPopEst
Total Population MOE Double U_TPopMOE
Poverty Status Pop Estimate Double U_PPovEst
Population 5+ Estimate Double u_pop6est
Population 5+ Margin of Error Double u_pop6moe
Poverty Status Pop MOE Double U_PPovMOE
Non-Institutional Civilian Pop Estimate Double U_PNICEst
Non-Institutional Civilian Pop MOE Double U_PNICMOE
shape Geometry SHAPE Feature geometry.
namelsad String namelsad
mun1 String MUN1
mun2 String MUN2
mun3 String MUN3
County Name String co_name
State String state
st_area(shape) Double st_area(shape)
st_perimeter(shape) Double st_perimeter(shape)