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2018 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 2014 -2018 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 2014 - 2018 American Community Survey 5-Year Estimates.
For more information and for methodology, visit DVRPC's website:http://www.dvrpc.org/GetInvolved/TitleVI/
Source of tract boundaries: US Census Bureau. The TIGER/Line Files
Note: Tracts with null values should be symbolized as "No Data".
Field
Alias
Description
GEOID10
GEOID10
Census tract identifier (text)
STATEFP10
State FIPS
FIPS Code for State
COUNTYFP10
County FIPS
FIPS Code for County
NAME10
Tract Number
Tract Number
geoidNum
GEOID10 Numeric
Census tract identifier (numeric)
Y_CntEst
Youth Count Estimate
Estimated count of youth population (under 18 years)
Y_CntMOE
Youth Count MOE
Margin of error for estimated count of youth population
Y_PctEst
Youth Percentage Estimate
Estimated percentage of youth population (under 18 years)
Y_PctMOE
Youth Percentage MOE
Margin of error for percentage of youth population
Y_Pctile
Youth Percentile
Tract's regional percentile for percentage youth
Y_Class
Youth Classification
Classification of tract's youth percentage as: well below average, below average, average, above average, or well above average
Y_Score
Youth Score
Corresponding numeric score for tract's youth classification: 0, 1, 2, 3, 4
OA_CntEst
Older Adult Count Estimate
Estimated count of older adult population (65 years or older)
OA_CntMOE
Older Adult Count MOE
Margin of error for estimated count of older adult population
OA_PctEst
Older Adult Percentage Estimate
Estimated percentage of older adult population (65 years or older)
OA_PctMOE
Older Adult Percentage MOE
Margin of error for percentage of older adult population
OA_Pctile
Older Adult Percentile
Tract's regional percentile for percentage older adult
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
OA_Score
Older Adult Score
Corresponding numeric score for tract's older adult classification: 0, 1, 2, 3, 4
F_CntEst
Female Count Estimate
Estimated count of female population
F_CntMOE
Female Count MOE
Margin of error for estimated count of female population
F_PctEst
Female Percentage Estimate
Estimated percentage of female population
F_PctMOE
Female Percentage MOE
Margin of error for percentage of female population
F_Pctile
Female Percentile
Tract's regional percentile for percentage female
F_Class
Female Classification
Classification of tract's female percentage as: well below average, below average, average, above average, or well above average
F_Score
Female Score
Corresponding numeric score for tract's female classification: 0, 1, 2, 3, 4
RM_CntEst
Racial Minority Count Estimate
Estimated count of non-white population
RM_CntMOE
Racial Minority Count MOE
Margin of error for estimated count of non-white population
RM_PctEst
Racial Minority Percentage Estimate
Estimated percentage of non-white population
RM_PctMOE
Racial Minority Percentage MOE
Margin of error for percentage of non-white population
RM_Pctile
Racial Minority Percentile
Tract's regional percentile for percentage non-white
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
RM_Score
Racial Minority Score
Corresponding numeric score for tract's non-white classification: 0, 1, 2, 3, 4
EM_CntEst
Ethnic Minority Count Estimate
Estimated count of Hispanic/Latino population
EM_CntMOE
Ethnic Minority Count MOE
Margin of error for estimated count of Hispanic/Latino population
EM_PctEst
Ethnic Minority Percentage Estimate
Estimated percentage of Hispanic/Latino population
EM_PctMOE
Ethnic Minority Percentage MOE
Margin of error for percentage of Hispanic/Latino population
EM_Pctile
Ethnic Minority Percentile
Tract's regional percentile for percentage Hispanic/Latino
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
EM_Score
Ethnic Minority Score
Corresponding numeric score for tract's Hispanic/Latino classification: 0, 1, 2, 3, 4
FB_CntEst
Foreign Born Count Estimate
Estimated count of foreign born population
FB_CntMOE
Foreign Born Count MOE
Margin of error for estimated count of foreign born population
FB_PctEst
Foreign Born Percentage Estimate
Estimated percentage of foreign born population
FB_PctMOE
Foreign Born Percentage MOE
Margin of error for percentage of foreign born population
FB_Pctile
Foreign Born Percentile
Tract's regional percentile for percentage foreign born
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
FB_Score
Foreign Born Score
Corresponding numeric score for tract's foreign born classification: 0, 1, 2, 3, 4
LEP_CntEst
Limited English Proficiency Count Estimate
Estimated count of limited english proficiency population
LEP_CntMoe
Limited English Proficiency Count MOE
Margin of error for estimated count of limited english proficiency population
LEP_PctEst
Limited English Proficiency Percentage Estimate
Estimated percentage of limited english proficiency population
LEP_PctMOE
Limited English Proficiency Percentage MOE
Margin of error for percentage of limited english proficiency population
LEP_Pctile
Limited English Proficiency Percentile
Tract's regional percentile for percentage limited english proficiency
LEP_Class
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
LEP_Score
Limited English Proficiency Score
Corresponding numeric score for tract's limited english proficiency classification: 0, 1, 2, 3, 4
D_CntEst
Disabled Count Estimate
Estimated count of disabled population
D_CntMOE
Disabled Count MOE
Margin of error for estimated count of disabled population
D_PctEst
Disabled Percentage Estimate
Estimated percentage of disabled population
D_PctMOE
Disabled Percentage MOE
Margin of error for percentage of disabled population
D_Pctile
Disabled Percentile
Tract's regional percentile for percentage disabled
D_Class
Disabled Classification
Classification of tract's disabled percentage as: well below average, below average, average, above average, or well above average
D_Score
Disabled Score
Corresponding numeric score for tract's disabled classification: 0, 1, 2, 3, 4
LI_CntEst
Low Income Count Estimate
Estimated count of low income (below 200% of poverty level) population
LI_CntMOE
Low Income Count MOE
Margin of error for estimated count of low income population
LI_PctEst
Low Income Percentage Estimate
Estimated percentage of low income (below 200% of poverty level) population
LI_PctMOE
Low Income Percentage MOE
Margin of error for percentage of low income population
LI_Pctile
Low Income Percentile
Tract's regional percentile for percentage low income
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
LI_Score
Low Income Score
Corresponding numeric score for tract's low income classification: 0, 1, 2, 3, 4
U_TPopEst
Total Population Estimate
Estimated total population of tract (universe [or denominator] for youth, older adult, female, racial minoriry, ethnic minority, & foreign born)
U_TPopMOE
Total Population MOE
Margin of error for estimated total population of tract
U_Pop6+Est
Population 6+ Estimate
Estimated population over five years of age (universe [or denominator] for limited english proficiency)
U_Pop6+MOE
Population 6+ MOE
Margin of error for estimated population over five years of age
U_PPovEst
Poverty Status Pop Estimate
Estimated population for whom poverty status is determined (universe [or denominator] for low income)
U_PPovMOE
Poverty Status Pop MOE
Margin of error for estimated population for whom poverty status is determined
U_PNICEst
Non-Institutional Civilian Pop Estimate
Estimated noninsitutional civilian population (universe [or denominator] for disabled)
U_PNICMOE
Non-Institutional Civilian Pop MOE
Margin of error for estimated noninstitutional civilian population
IPD_Score
Composite Score
Overall score adding the classification scores across all nine variables
IPD_Range
Composite Score Range
Range of composite scores that make up the composite classification as: well below average, below average, average, above average, or well above average (for map symbolization purposes only)
IPD_Class
Composite Classification
Classification of composite scores as: well below average, below average, average, above average, or well above average (for map symbolization purposes only)
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