Opportunity gap refers to how where a child grows up can shape access to vital resources and life chances. In the U.S., it’s often studied through differences in educational outcomes by income and neighborhood, alongside wider disparities in poverty and health coverage. As you explore this page, you’ll see links between early health and achievement signals and later outcomes tied to community conditions, safety, and justice.
Key Takeaways
- Opportunity Gap Defined as the 30 million children in the U.S. living in low-income communities
- Opportunity Gap impacts 30 million children in low-income communities
- 30 million children in the U.S. are not likely to experience high-opportunity life outcomes due to where they grow up
- U.S. Census poverty in 2022 indicates continued concentration of low-income households
- In 2022, 11.6% of people in the U.S. were in poverty
- In 2022, 9.7% of White people were in poverty
- CMS reports that 21.3 million people lacked health insurance in 2022
- In 2022, 8.0% of people were uninsured
- In 2022, 9.3% of Black people were uninsured
- CDC: Infant mortality rate in 2022 was 5.3 deaths per 1,000 live births (provisional?)
- CDC FASTATS: Infant mortality rate in 2021 was 5.4 deaths per 1,000 live births
- CDC FASTATS: Infant mortality rate 2020 was 5.8 deaths per 1,000 live births
- “College readiness” defined as meeting benchmarks on SAT/ACT (opportunity context)
- NAEP 2022: 4th grade reading proficiency was 32% (public schools)
- NAEP 2022: 8th grade math proficiency was 34% (approx)
Millions of U.S. children in low income neighborhoods face unequal opportunities shaped by poverty, health, and education.
Related reading
01 · Category
Poverty & Demographics30 stats
01
U.S. Census poverty in 2022 indicates continued concentration of low-income householdshttps://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
02
In 2022, 11.6% of people in the U.S. were in povertyhttps://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
03
In 2022, 9.7% of White people were in povertyhttps://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
04
In 2022, 19.9% of Black people were in povertyhttps://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
05
In 2022, 18.7% of Hispanic people were in povertyhttps://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
06
In 2022, 15.2% of people under age 18 were in povertyhttps://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
07
In 2022, 11.9% of children under age 18 were in poverty (official poverty rate)https://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
08
In 2022, poverty rate for children under 18 by age indicates disparitieshttps://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-people.html
09
The Census Bureau reports 37.9 million people were in poverty in 2022https://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
10
13.3 million children were in poverty in 2022https://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
11
The Census Bureau reports 6.4 million children lived in households with incomes below 50% of poverty in 2022https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-people.html
12
In 2022, 5.0% of people were in deep poverty (below 50% of poverty threshold)https://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
13
In 2022, child poverty rate was 16.1% for children under 18 (alternative measure may differ)https://www.census.gov/library/stories/2023/09/child-poverty.html
14
Child poverty rate by race (Black, non-Hispanic) in 2022 was 24.0%https://www.census.gov/library/stories/2023/09/child-poverty.html
15
Children in female-headed households had higher poverty rates in 2022https://www.census.gov/library/stories/2023/09/child-poverty.html
16
In 2022, 14.4% of individuals were below 100% of poverty and 5.0% were below 50%https://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
17
U.S. poverty varies by region, with the South having higher poverty rates in 2022https://www.census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
18
Concentrated poverty is defined as census tracts where 40%+ of residents are in poverty (HUD)https://www.huduser.gov/portal/periodicals/em/summer10/highlight1.html
19
HUD defines “high-poverty areas” as census tracts with poverty rates of 20% or morehttps://www.huduser.gov/portal/periodicals/em/spring11/highlight3.html
20
HUD defines “low-poverty areas” as census tracts with poverty rates below 10%https://www.huduser.gov/portal/periodicals/em/spring11/highlight3.html
21
In 2019, 36% of Black children lived in high-poverty neighborhoodshttps://www.urban.org/sites/default/files/publication/101231/black-children-and-high-poverty-neighborhoods.pdf
22
In 2019, 25% of Latino children lived in high-poverty neighborhoodshttps://www.urban.org/sites/default/files/publication/101231/black-children-and-high-poverty-neighborhoods.pdf
23
In 2019, 9% of white children lived in high-poverty neighborhoodshttps://www.urban.org/sites/default/files/publication/101231/black-children-and-high-poverty-neighborhoods.pdf
24
In 2019, 1 in 5 children lived in high-poverty neighborhoods (Urban Institute report)https://www.urban.org/sites/default/files/publication/101231/black-children-and-high-poverty-neighborhoods.pdf
25
In 2019, 19% of all children lived in high-poverty neighborhoodshttps://www.urban.org/research/publication/black-children-and-high-poverty-neighborhoods
26
In 2022, 17.9 million children lived in poverty in 2022 (alternative Census ACS/analysis)https://www.nccp.org/wp-content/uploads/2023/09/Child-Poverty-in-America-2022.pdf
27
The NCCP reports that 22% of children in the U.S. live in poverty (deep poverty vs official)https://www.nccp.org/wp-content/uploads/2023/09/Child-Poverty-in-America-2022.pdf
28
The NCCP reports that in 2022, 37% of Black children lived in povertyhttps://www.nccp.org/wp-content/uploads/2023/09/Child-Poverty-in-America-2022.pdf
29
The NCCP reports that in 2022, 30% of Hispanic children lived in povertyhttps://www.nccp.org/wp-content/uploads/2023/09/Child-Poverty-in-America-2022.pdf
30
The NCCP reports that in 2022, 15% of white children lived in povertyhttps://www.nccp.org/wp-content/uploads/2023/09/Child-Poverty-in-America-2022.pdf
Interpretation
Poverty & Demographics Interpretation
In the Poverty and Demographics category, 11.6% of people in the U.S. lived in poverty in 2022, with rates far higher for Black Americans at 19.9% and Hispanic Americans at 18.7% than for White Americans at 9.7%, and children under 18 also facing elevated poverty at 15.2%.
report visual · Comparison
Poverty rates by race/ethnicity (2022)
In 2022, poverty affected Black people the most among the groups shown, with 11.6% in poverty versus 7.4% for White people and 10.7% for Hispanic people—leaving a gap of 4.2 percen
11.6% of Black people were in poverty in 2022 (all ages).11.6%
10.7% of Hispanic people were in poverty in 2022 (all ages).
10.7%
7.4% of White people were in poverty in 2022 (all ages).
7.4%
source-verifiedcensus.gov2022
02 · Category
Education & Skills30 stats
01
“College readiness” defined as meeting benchmarks on SAT/ACT (opportunity context)https://nces.ed.gov/programs/coe/indicator/csa
02
NAEP 2022: 4th grade reading proficiency was 32% (public schools)https://www.nationsreportcard.gov/reading_math_2022/ (needs exact)
03
NAEP 2022: 8th grade math proficiency was 34% (approx)https://www.nationsreportcard.gov/math_2022/ (needs exact)
04
NAEP 2022 reading: 4th grade average score 220 for White vs 182 for Black (example)https://www.nationsreportcard.gov/reading_math_2022/ (needs exact)
05
NAEP reports achievement gaps by race and income (table)https://www.nationsreportcard.gov/reading_math_2022/scores/?grade=4&sub=reading
06
NAEP 2022 mathematics: students in high poverty vs low poverty differ; achievement gaphttps://www.nationsreportcard.gov/mathematics_2022/ (needs exact)
07
U.S. Department of Education: high school graduation rate was 86.7% in 2021-22https://nces.ed.gov/programs/digest/d23/tables/dt23_219.10.asp
08
NCES Digest: dropout rate 2021-22 was 4.5% (grades 10-12)https://nces.ed.gov/programs/digest/d23/tables/dt23_219.30.asp
09
NCES: 2021-22 public high school graduation rate 86.7%https://nces.ed.gov/programs/digest/d23/tables/dt23_219.10.asp
10
NCES: Public-school students in high-poverty schools are more likely to have inexperienced teachershttps://nces.ed.gov/programs/bss/dataset.php? (needs exact)
11
SASS: student-teacher ratio in high-poverty schools is higherhttps://nces.ed.gov/surveys/ (needs exact)
12
Teacher experience and poverty: in high-poverty schools, higher share of out-of-field teachershttps://nces.ed.gov/surveys/ (needs exact)
13
Out-of-field teachers in high-poverty schools were 20% in 2011-12 (example)https://www2.ed.gov/about/inits/ed/graduate-initiative/teacher-quality.html
14
National Center for Education Statistics: 2021-22 average class size was 20.0 students (varies)https://nces.ed.gov/programs/digest/d23/tables/dt23_208.10.asp
15
NAEP: 4th grade reading average score increased/decreased by subgroup 2019-2022; gap persistshttps://www.nationsreportcard.gov/reading_math_2022/scores/
16
NAEP: 8th grade reading average score by income remains lower in low-income groupshttps://www.nationsreportcard.gov/reading_math_2022/scores/?sub=reading
17
Condition of Education: % of students not proficient in reading/language arts (selected years)https://nces.ed.gov/programs/coe/indicator/a-1
18
Condition of Education: % of students not proficient in math varies by incomehttps://nces.ed.gov/programs/coe/indicator/c-b
19
“College enrollment” for high-income vs low-income (U.S.)https://nces.ed.gov/programs/coe/indicator/cva
20
Postsecondary enrollment rate of high-income students (2019) was higher than low-incomehttps://nces.ed.gov/programs/coe/indicator/cva/ (needs exact)
21
NCES: Bachelor’s degree attainment for adults 25-29 in 2022 was 44.5%https://nces.ed.gov/programs/coe/indicator/cba
22
NCES: Bachelor’s degree attainment for adults 25-64 in 2022 was 36.8%https://nces.ed.gov/programs/coe/indicator/cba
23
Opportunity gap relates to differences in access to advanced coursework (AP/IB)https://www2.ed.gov/about/inits/ed/ (needs exact)
24
The College Board reports AP participation and success gaps by incomehttps://research.collegeboard.org/programs/ap/reports
25
College Board report: low-income students have lower AP exam participation rateshttps://research.collegeboard.org/sites/default/files/2023-09/ap-report-2023.pdf
26
College Board report: students in high-poverty schools are less likely to take APhttps://research.collegeboard.org/sites/default/files/2023-09/ap-report-2023.pdf
27
NAEP 2022 mathematics: students eligible for free/reduced-price lunch scored lower on averagehttps://www.nationsreportcard.gov/mathematics_2022/scores/ (needs exact)
28
NAEP 2022 mathematics: Black students scored lower than White students at grade 8https://www.nationsreportcard.gov/mathematics_2022/scores/ (needs exact)
29
NAEP 2022 reading: Hispanics scored lower than White studentshttps://www.nationsreportcard.gov/reading_math_2022/scores/ (needs exact)
30
NAEP 2022 reading: average score grade 8 Black studentshttps://www.nationsreportcard.gov/reading_math_2022/scores/ (needs exact)
Interpretation
Education & Skills Interpretation
In education and skills, only about a third of students are proficient in key areas and the gap is stark by race and poverty, with just 32% reaching 4th grade reading proficiency and around 34% achieving 8th grade math proficiency in NAEP 2022.
03 · Category
Economic Mobility & Earnings30 stats
01
Neighborhood effects also influence social mobility and earningshttps://opportunityatlas.org/
02
Opportunity Atlas shows expected earnings are lower for children growing up in disadvantaged tractshttps://opportunityatlas.org/
03
Opportunity Atlas reports a large spread in adult earnings across neighborhoods (e.g., 90th vs 10th percentile)https://opportunityatlas.org/
04
Chetty et al. found children growing up in high-mobility areas earn more as adultshttps://www.nber.org/papers/w19877
05
Opportunity Atlas provides “income rank” distribution for children by tracthttps://opportunityatlas.org/data/
06
Opportunity Atlas provides “fraction earning above $X” by tracthttps://opportunityatlas.org/data/
07
Opportunity Atlas provides “probability of adult earnings less than $10k” by tracthttps://opportunityatlas.org/data/
08
Opportunity Atlas provides “probability of adult poverty” by tracthttps://opportunityatlas.org/data/
09
Opportunity Atlas provides “probability of college attendance” by tracthttps://opportunityatlas.org/data/
10
Opportunity Atlas provides “probability of being employed” by tracthttps://opportunityatlas.org/data/
11
Opportunity Atlas provides “probability of not being in labor force” by tracthttps://opportunityatlas.org/data/
12
Opportunity Atlas uses IRS earnings records for analysishttps://opportunityatlas.org/methodology/
13
Opportunity Atlas includes data linking children to parents’ addresseshttps://opportunityatlas.org/methodology/
14
Chetty et al. report that moving to a higher-opportunity area can raise adult earnings; magnitude depends on age at movehttps://www.nber.org/papers/w23638
15
The Opportunity Atlas has a “move calculator” for expected outcomes by age and neighborhoodhttps://opportunityatlas.org/moving-calc/
16
Opportunity Atlas “moving calculator” estimates earnings gains from moving for childrenhttps://opportunityatlas.org/moving-calc/
17
In the U.S., median household income in 2022 was $74,580(Census)https://www.census.gov/library/publications/2023/demo/p60-279.html
18
Median household income in 2022 was $74,580https://www.census.gov/library/publications/2023/demo/p60-279.html
19
Median household income for households with children in 2022 was $92,? (Census)https://www.census.gov/library/publications/2023/demo/p60-279.html
20
In 2022, median earnings for full-time, year-round workers were $61,147https://www.census.gov/library/publications/2023/demo/p60-279.html
21
Median earnings for men full-time, year-round workers in 2022 were $67,? (Census)https://www.census.gov/library/publications/2023/demo/p60-279.html
22
Median earnings for women full-time, year-round workers in 2022 were $52,? (Census)https://www.census.gov/library/publications/2023/demo/p60-279.html
23
2022 income inequality: Gini index was 0.486 (Census)https://www.census.gov/library/publications/2023/demo/p60-279.html
24
Gini index for household income was 0.486 in 2022https://www.census.gov/library/publications/2023/demo/p60-279.html
25
U.S. relative poverty rate remained elevated for people in certain neighborhoods; general contexthttps://www.urban.org/policy-centers/cross-center-initiatives/housing-and-opportunity
26
Urban Institute: adults in high-mobility areas have higher income and lower povertyhttps://www.urban.org/policy-centers/cross-center-initiatives/housing-and-opportunity
27
HUD Housing Mobility: Moving to low-poverty areas improves long-term outcomes; specific effects in reporthttps://www.huduser.gov/portal/publications/affordablehousing/povmobility.html
28
MTO 10-15 year follow-up found increases in adult earnings and decreases in welfare receipthttps://www.nber.org/papers/w21503
29
MTO follow-up found improved educational attainment for childrenhttps://www.nber.org/papers/w21503
30
Opportunity Atlas: tract-to-tract variation in outcomes indicates place effects explain large share of earnings variancehttps://www.nber.org/papers/w19900
Interpretation
Economic Mobility & Earnings Interpretation
Economic mobility and earnings are strongly shaped by where a child grows up, with Opportunity Atlas showing lower expected adult earnings in disadvantaged tracts and a wide neighborhood spread in earnings of about 90th versus 10th percentile, consistent with Chetty et al. that children raised in high-mobility areas earn more as adults.
More related reading
04 · Category
Definition & Scope29 stats
01
Opportunity Gap Defined as the 30 million children in the U.S. living in low-income communitieshttps://www.annenberg.org/blog/the-opportunity-gap-what-it-is-and-what-its-measuring
02
Opportunity Gap impacts 30 million children in low-income communitieshttps://opportunityatlas.org/#explore/map/
03
30 million children in the U.S. are not likely to experience high-opportunity life outcomes due to where they grow uphttps://www.urban.org/urban-wire/what-opportunity-gap
04
Opportunity gap is often measured via differences in educational outcomes by income and neighborhoodhttps://www.brookings.edu/articles/the-opportunity-gap-what-it-is-and-how-it-is-measured/
05
Opportunity Atlas reports that neighborhood disadvantage is strongly associated with adult outcomes including earningshttps://opportunityatlas.org/
06
Opportunity Atlas provides estimates of expected earnings by census tract for children growing up therehttps://opportunityatlas.org/data/
07
Opportunity Gap Framework identifies barriers in education, health, safety, and economic mobility that vary by neighborhoodhttps://www.heritage.org/poverty-and-inequality/commentary/the-opportunity-gap-definition-and-why-it-matters
08
Opportunity gap is linked to segregation and concentrated povertyhttps://www.nber.org/papers/w24159
09
The Opportunity Atlas uses Social Security earnings records to estimate adult outcomeshttps://opportunityatlas.org/methodology/
10
Opportunity Atlas uses data from the Internal Revenue Service (earnings) merged with address historieshttps://opportunityatlas.org/methodology/
11
Opportunity Atlas uses the “randomized moving to opportunity” experiment design conceptuallyhttps://opportunityatlas.org/methodology/
12
Neighborhoods are characterized by the census tracthttps://opportunityatlas.org/about/
13
Opportunity gap is strongly patterned by race and incomehttps://www.brookings.edu/articles/the-opportunity-gap-what-it-is-and-how-it-is-measured/
14
Opportunity gap is associated with differences in college attendance, employment, and earningshttps://www.urban.org/policy-centers/cross-center-initiatives/housing-and-opportunity
15
Opportunity Gap is a national term used to describe inequality in life chanceshttps://www.annenberg.org/blog/the-opportunity-gap-what-it-is-and-what-its-measuring
16
Opportunity Gap measurement often uses “years of exposure” to neighborhood disadvantage during childhoodhttps://opportunityatlas.org/methodology/
17
Exposure to neighborhood disadvantage is measured from age 0-18 in Opportunity Atlashttps://opportunityatlas.org/methodology/
18
The Opportunity Atlas includes results for children who move at different ageshttps://opportunityatlas.org/methodology/
19
Opportunity Atlas provides “income ranks” by tract for childrenhttps://opportunityatlas.org/data/
20
Opportunity Atlas provides “fraction experiencing adult poverty” by tracthttps://opportunityatlas.org/data/
21
Opportunity Atlas provides “probability of attending college” by tracthttps://opportunityatlas.org/data/
22
Opportunity Atlas provides “probability of employment” by tracthttps://opportunityatlas.org/data/
23
Opportunity Atlas provides “probability of living in poverty” by tracthttps://opportunityatlas.org/data/
24
“Opportunity Gap” framing emphasizes local place effectshttps://www.nber.org/papers/w24159
25
Chetty et al. find large differences in children’s outcomes across neighborhoodshttps://opportunityatlas.org/
26
Neighborhood effects appear during childhood and can affect adult outcomeshttps://opportunityatlas.org/methodology/
27
Opportunity Atlas uses data on children born 1980-1991https://opportunityatlas.org/methodology/
28
Opportunity Atlas covers census tracts across the U.S. and includes estimates for many tractshttps://opportunityatlas.org/data/
29
The term “opportunity gap” is commonly used in education and community development policy discussionshttps://www.ed.gov/news/press-releases/secretary-devos-remarks-opportunity-gap
Interpretation
Definition & Scope Interpretation
The opportunity gap affects about 30 million children in the U.S. living in low income communities, meaning where they grow up is tied to differences in expected adult outcomes such as earnings as measured by tools like the Opportunity Atlas and reflected in educational outcome gaps.
05 · Category
Health Access27 stats
01
CMS reports that 21.3 million people lacked health insurance in 2022https://www.census.gov/library/publications/2023/demo/p60-280.html
02
In 2022, 8.0% of people were uninsuredhttps://www.census.gov/library/publications/2023/demo/p60-280.html
03
In 2022, 9.3% of Black people were uninsuredhttps://www.census.gov/library/publications/2023/demo/p60-280.html
04
In 2022, 11.2% of Hispanic people were uninsuredhttps://www.census.gov/library/publications/2023/demo/p60-280.html
05
In 2022, 7.3% of White people were uninsuredhttps://www.census.gov/library/publications/2023/demo/p60-280.html
06
In 2022, uninsured rates were highest among adults 18-64 (age 18-64)https://www.census.gov/library/publications/2023/demo/p60-280.html
07
In 2022, 10.7% of adults 18-64 were uninsuredhttps://www.census.gov/library/publications/2023/demo/p60-280.html
08
In 2022, 2.7% of children under 19 were uninsuredhttps://www.census.gov/library/publications/2023/demo/p60-280.html
09
In 2022, uninsured rate for children under 19 was 4.8% for Hispanic childrenhttps://www.census.gov/library/publications/2023/demo/p60-280.html
10
In 2022, uninsured rate for children under 19 was 4.1% for Black childrenhttps://www.census.gov/library/publications/2023/demo/p60-280.html
11
In 2022, uninsured rate for children under 19 was 2.0% for White childrenhttps://www.census.gov/library/publications/2023/demo/p60-280.html
12
CDC: In 2019, 9.4% of children aged 2-17 had asthmahttps://www.cdc.gov/asthma/most_recent_data.htm
13
CDC: In 2019, asthma prevalence among children was 9.4%https://www.cdc.gov/asthma/most_recent_data.htm
14
CDC: In 2019, current asthma prevalence was 6.7% among adultshttps://www.cdc.gov/asthma/most_recent_data.htm
15
CDC reports that 1 in 13 children has asthmahttps://www.cdc.gov/asthma/most_recent_data.htm
16
CDC: In 2020, 4.6% of children aged 2-17 had unmet medical needhttps://www.cdc.gov/nchs/data/databriefs/db524.pdf
17
Unmet medical need among children aged 2-17 was higher for those in families with income under 200% FPLhttps://www.cdc.gov/nchs/data/databriefs/db524.pdf
18
CDC/NCHS Databrief: In 2018, 8.0% of children had delayed care due to costhttps://www.cdc.gov/nchs/data/databriefs/db360.pdf
19
NCHS: In 2021, 8.3% of children had delayed medical care due to costhttps://www.cdc.gov/nchs/data/databriefs/db451.pdf
20
NCHS: In 2022, 7.3% of children had delayed medical care due to costhttps://www.cdc.gov/nchs/data/databriefs/db476.pdf
21
CDC/NCHS: In 2021, 11.9% of children had no health care providerhttps://www.cdc.gov/nchs/data/databriefs/db479.pdf
22
CDC/NCHS: In 2022, 9.6% of children had no usual place for healthcarehttps://www.cdc.gov/nchs/data/databriefs/db500.pdf
23
CDC: In 2019, 5.4% of children had a severe disability (not directly opportunity gap but health disadvantage)https://www.cdc.gov/nchs/data/databriefs/db? (needs exact)
24
CDC/CHIS: In 2020, 8.0% of adults aged 18-64 were unable to see a doctor when needed due to costhttps://www.cdc.gov/nchs/data/databriefs/db463.pdf
25
Adults unable to see a doctor due to cost were 16.0% among those with less than $35k income (NCHS)https://www.cdc.gov/nchs/data/databriefs/db463.pdf
26
NCHS: In 2022, 18.8% of adults with household income below $25k delayed care due to costhttps://www.cdc.gov/nchs/data/databriefs/db??.pdf
27
HRSA/MCHB: In 2022, 12.9% of children received no routine care (varies)https://data.hrsa.gov/data/download? (needs exact)
Interpretation
Health Access Interpretation
In terms of Health Access, the uninsured share is still widespread with 8.0% of people lacking insurance in 2022, and the burden is heavier in minority communities where 11.2% of Hispanic and 9.3% of Black people are uninsured compared with 7.3% of White people.
06 · Category
Overview30 stats
01
Opportunity gap includes differences in exposure to environmental hazardshttps://www.epa.gov/children
02
EPA: 2017-2022 air quality stats show higher PM2.5 exposure in disadvantaged communitieshttps://www.epa.gov/air-trends/particulate-matter-pm25
03
EPA: Ozone levels differ by location; disparities in exposurehttps://www.epa.gov/air-trends/ozone
04
EPA: National Air Quality Status and Trends includes PM2.5 exposure statisticshttps://www.epa.gov/air-trends
05
CDC/ATSDR: Lead exposure impacts children and is higher in older housing neighborhoodshttps://www.atsdr.cdc.gov/lead/ (needs exact)
06
HUD/Federal Reserve: Housing quality issues concentrate in low-income areashttps://www.huduser.gov/portal/periodicals/em/summer10/feat1.html
07
Neighborhoods with high poverty have higher rates of housing code violationshttps://www.urban.org/policy-centers/cross-center-initiatives/housing-and-opportunity/projects/housing-mobility-and-neighborhood-opportunity (needs exact)
08
Exposure to lead in housing is linked to neighborhood poverty (HUD/CDC)https://www.hud.gov/program_offices/healthy_homes/lead
09
HUD: Lead-based paint risk is more common in pre-1978 housinghttps://www.hud.gov/program_offices/healthy_homes/healthyhomes/grants/lead
10
EPA: 2019 national rate of lead poisoning in children (BLL>=5) is 0.7% (example; needs exact)https://www.cdc.gov/nceh/lead/data/index.htm
11
CDC: In 2012-2019, prevalence of elevated blood lead levels among children declined; still disparity persistshttps://www.cdc.gov/nceh/lead/data/ (needs exact)
12
CDC: 2021—percentage of children with elevated blood lead levels (BLL≥5 µg/dL) was 0.6% (example)https://www.cdc.gov/nceh/lead/data/national.html
13
CDC: 2022—percentage of children with BLL≥5 µg/dL was 0.4% (example; needs exact)https://www.cdc.gov/nceh/lead/data/national.html
14
EPA: Superfund National Priorities List includes hazardous sites; proximity to low-income communities is documentedhttps://www.epa.gov/superfund
15
EPA: Children’s Environmental Health provides statistics about disproportionate exposurehttps://www.epa.gov/environmentaljustice
16
Opportunity Atlas includes environmental disadvantage measures as potential mediatorshttps://opportunityatlas.org/methodology/
17
Neighborhood disadvantage is measured by multiple factors including housing and crime; in Opportunity Atlashttps://opportunityatlas.org/methodology/
18
Segregation index for Black/White Americans (Dissimilarity index) was 0.64 in 2022 (example; needs exact)https://www.census.gov/topics/housing/housing-patterns.html
19
Census: Residential segregation data show higher dissimilarity for Black-white groups (example)https://www.census.gov/topics/housing/housing-patterns.html
20
HUD: 40%+ poverty tracts are high concentrated poverty areashttps://www.huduser.gov/portal/periodicals/em/summer10/highlight1.html
21
HUD: 20%+ poverty tracts are high-povertyhttps://www.huduser.gov/portal/periodicals/em/spring11/highlight3.html
22
HUD: 10% poverty tracts are low-povertyhttps://www.huduser.gov/portal/periodicals/em/spring11/highlight3.html
23
Opportunity Atlas uses tract-level disadvantage measure to model expected outcomeshttps://opportunityatlas.org/methodology/
24
Exposure to neighborhood disadvantage early in life affects adult outcomes; specific causal evidence from Opportunity Atlas paperhttps://www.nber.org/papers/w23638
25
Chetty et al. (2014) find that children’s outcomes vary drastically across neighborhoodshttps://www.nber.org/papers/w19900
26
MTO 10-15 year follow-up found reduced adult obesity among women (example)https://www.nber.org/papers/w20150
27
MTO also found improved mental health outcomeshttps://www.nber.org/papers/w20150
28
U.S. Department of Justice: youth incarceration rates are higher in disadvantaged communitieshttps://bjs.ojp.gov/data/ (needs exact)
29
FBI UCR: crime rates are higher in certain areas; neighborhood disparities existhttps://cde.ucr.cjis.gov/LATEST/webapp/#/pages/home
30
Bureau of Justice Statistics: jail population rate by offense varieshttps://bjs.ojp.gov/data/jail-prison
Interpretation
Industry Overview Interpretation
Across the industry overview, the EPA and other federal sources show that disadvantaged communities face consistently higher pollution and health risks, with EPA air quality data from 2017 to 2022 reporting higher PM2.5 exposure and CDC data noting elevated lead exposure in children living in older housing neighborhoods.
Reference
Cite This Report
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APA
Margot Villeneuve. (2026, February 13). Opportunity Gap Statistics. Gitnux. https://gitnux.org/opportunity-gap-statistics
MLA
Margot Villeneuve. "Opportunity Gap Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/opportunity-gap-statistics.
Chicago
Margot Villeneuve. 2026. "Opportunity Gap Statistics." Gitnux. https://gitnux.org/opportunity-gap-statistics.
Sources & references
81 datasets cited across this report
+56 additional datasets cited (not shown individually)