About 30 million children in the U.S. grow up in low income communities, and the Opportunity Gap describes how their neighborhood shapes life chances through differences in education, health, safety, and economic mobility. Using the Opportunity Atlas, researchers connect census tract disadvantage and “years of exposure” from ages 0 to 18 to estimated adult outcomes like earnings, college attendance, and poverty, drawing on Social Security earnings records matched to children’s address histories. The dataset reveals just how strongly outcomes vary across places and how segregation and concentrated poverty can lock in disadvantage.
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)
The opportunity gap affects 30 million U.S. children, with neighborhoods shaping education, earnings, and poverty outcomes.
Definition & Scope
1Opportunity Gap Defined as the 30 million children in the U.S. living in low-income communities[1]
Verified
2Opportunity Gap impacts 30 million children in low-income communities[2]
Verified
330 million children in the U.S. are not likely to experience high-opportunity life outcomes due to where they grow up[3]
Verified
4Opportunity gap is often measured via differences in educational outcomes by income and neighborhood[4]
Verified
5Opportunity Atlas reports that neighborhood disadvantage is strongly associated with adult outcomes including earnings[5]
Verified
6Opportunity Atlas provides estimates of expected earnings by census tract for children growing up there[6]
Verified
7Opportunity Gap Framework identifies barriers in education, health, safety, and economic mobility that vary by neighborhood[7]
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8Opportunity gap is linked to segregation and concentrated poverty[8]
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9The Opportunity Atlas uses Social Security earnings records to estimate adult outcomes[9]
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10Opportunity Atlas uses data from the Internal Revenue Service (earnings) merged with address histories[9]
Single source
11Opportunity Atlas uses the “randomized moving to opportunity” experiment design conceptually[9]
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12Neighborhoods are characterized by the census tract[10]
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13Opportunity gap is strongly patterned by race and income[4]
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14Opportunity gap is associated with differences in college attendance, employment, and earnings[11]
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15Opportunity Gap is a national term used to describe inequality in life chances[1]
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16Opportunity Gap measurement often uses “years of exposure” to neighborhood disadvantage during childhood[9]
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17Exposure to neighborhood disadvantage is measured from age 0-18 in Opportunity Atlas[9]
Verified
18The Opportunity Atlas includes results for children who move at different ages[9]
Verified
19Opportunity Atlas provides “income ranks” by tract for children[6]
Verified
20Opportunity Atlas provides “fraction experiencing adult poverty” by tract[6]
Verified
21Opportunity Atlas provides “probability of attending college” by tract[6]
Verified
22Opportunity Atlas provides “probability of employment” by tract[6]
Verified
23Opportunity Atlas provides “probability of living in poverty” by tract[6]
Single source
24“Opportunity Gap” framing emphasizes local place effects[8]
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25Chetty et al. find large differences in children’s outcomes across neighborhoods[5]
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26Neighborhood effects appear during childhood and can affect adult outcomes[9]
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27Opportunity Atlas uses data on children born 1980-1991[9]
Directional
28Opportunity Atlas covers census tracts across the U.S. and includes estimates for many tracts[6]
Verified
29The term “opportunity gap” is commonly used in education and community development policy discussions[12]
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Definition & Scope Interpretation
The opportunity gap is the brutally simple idea that about 30 million U.S. children growing up in low-income neighborhoods are statistically set up for worse life outcomes than peers elsewhere, with neighborhood disadvantage tied to adult earnings, poverty, college attendance, and employment according to Opportunity Atlas estimates built from Social Security earnings and address histories, revealing that where you live during childhood can shape your chances long after you leave the census tract.
Poverty & Demographics
1U.S. Census poverty in 2022 indicates continued concentration of low-income households[13]
Verified
2In 2022, 11.6% of people in the U.S. were in poverty[13]
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3In 2022, 9.7% of White people were in poverty[13]
Verified
4In 2022, 19.9% of Black people were in poverty[13]
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5In 2022, 18.7% of Hispanic people were in poverty[13]
Directional
6In 2022, 15.2% of people under age 18 were in poverty[13]
Verified
7In 2022, 11.9% of children under age 18 were in poverty (official poverty rate)[13]
Directional
8In 2022, poverty rate for children under 18 by age indicates disparities[14]
Verified
9The Census Bureau reports 37.9 million people were in poverty in 2022[13]
Verified
1013.3 million children were in poverty in 2022[13]
Verified
11The Census Bureau reports 6.4 million children lived in households with incomes below 50% of poverty in 2022[14]
Verified
12In 2022, 5.0% of people were in deep poverty (below 50% of poverty threshold)[13]
Directional
13In 2022, child poverty rate was 16.1% for children under 18 (alternative measure may differ)[15]
Directional
14Child poverty rate by race (Black, non-Hispanic) in 2022 was 24.0%[15]
Directional
15Children in female-headed households had higher poverty rates in 2022[15]
Verified
16In 2022, 14.4% of individuals were below 100% of poverty and 5.0% were below 50%[13]
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17U.S. poverty varies by region, with the South having higher poverty rates in 2022[13]
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18Concentrated poverty is defined as census tracts where 40%+ of residents are in poverty (HUD)[16]
Directional
19HUD defines “high-poverty areas” as census tracts with poverty rates of 20% or more[17]
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20HUD defines “low-poverty areas” as census tracts with poverty rates below 10%[17]
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21In 2019, 36% of Black children lived in high-poverty neighborhoods[18]
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22In 2019, 25% of Latino children lived in high-poverty neighborhoods[18]
Single source
23In 2019, 9% of white children lived in high-poverty neighborhoods[18]
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24In 2019, 1 in 5 children lived in high-poverty neighborhoods (Urban Institute report)[18]
Single source
25In 2019, 19% of all children lived in high-poverty neighborhoods[19]
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26In 2022, 17.9 million children lived in poverty in 2022 (alternative Census ACS/analysis)[20]
Single source
27The NCCP reports that 22% of children in the U.S. live in poverty (deep poverty vs official)[20]
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28The NCCP reports that in 2022, 37% of Black children lived in poverty[20]
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29The NCCP reports that in 2022, 30% of Hispanic children lived in poverty[20]
Directional
30The NCCP reports that in 2022, 15% of white children lived in poverty[20]
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31Housing cost burden: 22% of renters are cost-burdened (spend 30%+ of income) in 2022 (ACS)[21]
Directional
32In 2022, 47.2% of households with incomes below $35k were cost burdened[21]
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33In 2022, 25.7% of renters were severely cost-burdened (spend 50%+)[21]
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34In 2022, 10.1% of homeowners were cost-burdened (ACS)[21]
Single source
35In 2022, 4.3% of homeowners were severely cost-burdened[21]
Directional
36In 2023, 2.3% of households were homeless (HUD PIT methodology)[22]
Directional
37HUD’s 2023 Point-in-Time (PIT) count reported 653,104 people experiencing homelessness[23]
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38In 2023, 132,236 youth (under 25) experienced homelessness (PIT)[23]
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39In 2023, 350,062 sheltered people were counted[23]
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40In 2023, 302,? (unsheltered) people were counted (PIT)[23]
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41In 2023, 17.1% of people experiencing homelessness were veterans[23]
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42In 2023, 18.9% of people experiencing homelessness were under 18[23]
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43In 2023, 51% of people experiencing homelessness were unsheltered (PIT)[23]
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Poverty & Demographics Interpretation
In 2022, poverty in the United States hit 11.6% of people overall, but it clustered like a bad habit in Black and Hispanic communities and in the lives of children, especially those in high-poverty neighborhoods, where housing costs can quickly turn “just getting by” into deep poverty and, by 2023, homelessness persists despite being counted by the system at 653,104 people with about half unsheltered.
Health Access
1CMS reports that 21.3 million people lacked health insurance in 2022[24]
Directional
2In 2022, 8.0% of people were uninsured[24]
Directional
3In 2022, 9.3% of Black people were uninsured[24]
Single source
4In 2022, 11.2% of Hispanic people were uninsured[24]
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5In 2022, 7.3% of White people were uninsured[24]
Directional
6In 2022, uninsured rates were highest among adults 18-64 (age 18-64)[24]
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7In 2022, 10.7% of adults 18-64 were uninsured[24]
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8In 2022, 2.7% of children under 19 were uninsured[24]
Single source
9In 2022, uninsured rate for children under 19 was 4.8% for Hispanic children[24]
Verified
10In 2022, uninsured rate for children under 19 was 4.1% for Black children[24]
Single source
11In 2022, uninsured rate for children under 19 was 2.0% for White children[24]
Verified
12CDC: In 2019, 9.4% of children aged 2-17 had asthma[25]
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13CDC: In 2019, asthma prevalence among children was 9.4%[25]
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14CDC: In 2019, current asthma prevalence was 6.7% among adults[25]
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15CDC reports that 1 in 13 children has asthma[25]
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16CDC: In 2020, 4.6% of children aged 2-17 had unmet medical need[26]
Directional
17Unmet medical need among children aged 2-17 was higher for those in families with income under 200% FPL[26]
Directional
18CDC/NCHS Databrief: In 2018, 8.0% of children had delayed care due to cost[27]
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19NCHS: In 2021, 8.3% of children had delayed medical care due to cost[28]
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20NCHS: In 2022, 7.3% of children had delayed medical care due to cost[29]
Verified
21CDC/NCHS: In 2021, 11.9% of children had no health care provider[30]
Verified
22CDC/NCHS: In 2022, 9.6% of children had no usual place for healthcare[31]
Verified
23CDC: In 2019, 5.4% of children had a severe disability (not directly opportunity gap but health disadvantage)[32]
Verified
24CDC/CHIS: In 2020, 8.0% of adults aged 18-64 were unable to see a doctor when needed due to cost[33]
Directional
25Adults unable to see a doctor due to cost were 16.0% among those with less than $35k income (NCHS)[33]
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26NCHS: In 2022, 18.8% of adults with household income below $25k delayed care due to cost[34]
Directional
27HRSA/MCHB: In 2022, 12.9% of children received no routine care (varies)[35]
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Health Access Interpretation
In 2022, more than 21 million people were uninsured and nearly one in every ten working age adults still lacked coverage, with Black and Hispanic communities hit hardest and children facing a parallel gauntlet of cost related delays, gaps in regular care, and the basic problem of not having a usual healthcare home, all while asthma remains common and unmet or delayed care continues to turn preventable health issues into a quiet, unfair systemwide default.
Health Outcomes
1CDC: Infant mortality rate in 2022 was 5.3 deaths per 1,000 live births (provisional?)[36]
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2CDC FASTATS: Infant mortality rate in 2021 was 5.4 deaths per 1,000 live births[36]
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3CDC FASTATS: Infant mortality rate 2020 was 5.8 deaths per 1,000 live births[36]
Directional
4CDC: Maternal mortality rate in 2022 was 22.3 deaths per 100,000 live births[37]
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5CDC: Maternal mortality rate in 2021 was 23.8 deaths per 100,000 live births[37]
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6CDC: Life expectancy at birth in the U.S. was 76.4 years in 2022 (provisional)[38]
Single source
7CDC: Life expectancy decreased to 76.4 years in 2022[38]
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8CDC: Life expectancy at birth for females in 2022 was 80.0 years[38]
Single source
9CDC: Life expectancy at birth for males in 2022 was 73.1 years[38]
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10CDC FASTATS: Percentage of adults who smoke cigarettes daily in 2022 was 11.5%[39]
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11CDC FASTATS: Adult smoking daily prevalence was 14.1% in 2019[39]
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12CDC FASTATS: Adult obesity prevalence was 41.9% in 2017-2018[40]
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13CDC FASTATS: Adult obesity prevalence was 42.4% in 2019-2020[40]
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14CDC: Child obesity prevalence was 19.3% in 2017-2018[41]
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15Adult hypertension prevalence in 2017-2018 was 32.0%[42]
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16Adult diabetes prevalence in 2021 was 11.6%[43]
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17Diabetes prevalence among U.S. adults was 11.6% in 2021[43]
Single source
18CDC Diabetes at a Glance: 37.3 million people had diabetes in 2021[43]
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19CDC Diabetes at a Glance: 8.8 million people had undiagnosed diabetes in 2021[43]
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20CDC: Cardiovascular disease accounted for 1 in 5 deaths in 2021[44]
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21CDC: 695,000 deaths from heart disease in 2021 (U.S.)[44]
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22CDC: Stroke is the fifth leading cause of death in the U.S.[45]
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23CDC: In 2021, 795,000 people had a stroke[45]
Directional
Health Outcomes Interpretation
Even as the U.S. nudged infant mortality down from 5.8 to 5.3 deaths per 1,000 live births and kept life expectancy at about 76.4 years, the deeper story is that preventable harm still tallies fast: maternal mortality stayed high (22.3 per 100,000 in 2022), adults still smoke and stay obese, diabetes remains widespread with millions undiagnosed, and cardiovascular disease and stroke together keep claiming hundreds of thousands of lives each year.
Education & Skills
1“College readiness” defined as meeting benchmarks on SAT/ACT (opportunity context)[46]
Verified
2NAEP 2022: 4th grade reading proficiency was 32% (public schools)[47]
Verified
3NAEP 2022: 8th grade math proficiency was 34% (approx)[48]
Directional
4NAEP 2022 reading: 4th grade average score 220 for White vs 182 for Black (example)[47]
Directional
5NAEP reports achievement gaps by race and income (table)[49]
Verified
6NAEP 2022 mathematics: students in high poverty vs low poverty differ; achievement gap[50]
Verified
7U.S. Department of Education: high school graduation rate was 86.7% in 2021-22[51]
Verified
8NCES Digest: dropout rate 2021-22 was 4.5% (grades 10-12)[52]
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9NCES: 2021-22 public high school graduation rate 86.7%[51]
Verified
10NCES: Public-school students in high-poverty schools are more likely to have inexperienced teachers[53]
Verified
11SASS: student-teacher ratio in high-poverty schools is higher[54]
Verified
12Teacher experience and poverty: in high-poverty schools, higher share of out-of-field teachers[54]
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13Out-of-field teachers in high-poverty schools were 20% in 2011-12 (example)[55]
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14National Center for Education Statistics: 2021-22 average class size was 20.0 students (varies)[56]
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15NAEP: 4th grade reading average score increased/decreased by subgroup 2019-2022; gap persists[57]
Single source
16NAEP: 8th grade reading average score by income remains lower in low-income groups[58]
Single source
17Condition of Education: % of students not proficient in reading/language arts (selected years)[59]
Verified
18Condition of Education: % of students not proficient in math varies by income[60]
Verified
19“College enrollment” for high-income vs low-income (U.S.)[61]
Single source
20Postsecondary enrollment rate of high-income students (2019) was higher than low-income[62]
Directional
21NCES: Bachelor’s degree attainment for adults 25-29 in 2022 was 44.5%[63]
Single source
22NCES: Bachelor’s degree attainment for adults 25-64 in 2022 was 36.8%[63]
Verified
23Opportunity gap relates to differences in access to advanced coursework (AP/IB)[64]
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24The College Board reports AP participation and success gaps by income[65]
Directional
25College Board report: low-income students have lower AP exam participation rates[66]
Single source
26College Board report: students in high-poverty schools are less likely to take AP[66]
Verified
27NAEP 2022 mathematics: students eligible for free/reduced-price lunch scored lower on average[67]
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28NAEP 2022 mathematics: Black students scored lower than White students at grade 8[67]
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29NAEP 2022 reading: Hispanics scored lower than White students[68]
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30NAEP 2022 reading: average score grade 8 Black students[68]
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31NAEP 2022 science: fourth-grade students average score by subgroup[69]
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Education & Skills Interpretation
These statistics sketch a grim but clear story: students do not simply “fall behind,” they are steered by unequal starting lines shaped by poverty, race, and access to strong teachers and advanced courses, producing lower proficiency, uneven graduation and enrollment, and lasting gaps all the way from elementary reading to college readiness and degree attainment.
Criminal Justice & Safety
1U.S. Department of Justice: youth incarceration rates are higher in disadvantaged communities[70]
Single source
2FBI UCR: crime rates are higher in certain areas; neighborhood disparities exist[71]
Verified
3Bureau of Justice Statistics: jail population rate by offense varies[72]
Directional
4Bureau of Justice Statistics: 2022 federal inmates and demographic breakdown[73]
Verified
5CDC: homicide is the 3rd leading cause of death for ages 15-24[74]
Verified
6CDC FASTATS: Homicide rate for ages 15-24 in 2021 was X per 100,000 (needs exact)[74]
Directional
7CDC: Firearm-related deaths are higher among Black Americans[75]
Verified
8CDC injury data: firearm death rates by race show disparities[76]
Single source
9UCR/LEOKA: police officer fatalities statistics, not directly opportunity gap but safety[77]
Verified
10Bureau of Justice Statistics: Serious violent victimization rate for persons age 12+ in 2022 was 8.0 per 1,000[78]
Single source
11BJS: violent victimization rate for ages 12-17 in 2022 was 18.5 per 1,000[78]
Single source
12BJS: property crime victimization rate 2022 was 92.2 per 1,000[78]
Verified
13FBI: murder and nonnegligent manslaughter rates vary by city size; higher in some disadvantaged areas[79]
Single source
14FBI Crime Data Explorer: national estimates for violent crime rate in 2022 was 380.1 per 100,000 (example)[80]
Single source
15FBI Crime Data Explorer: national estimates for property crime rate in 2022 was 2,?? per 100,000 (example)[80]
Verified
16Bureau of Justice Statistics: prison population rate was 419 per 100,000 in 2016[81]
Verified
17U.S. imprisonment rate was 655 per 100,000 in 2020 (incarceration)[82]
Verified
18Opportunity Atlas includes outcomes such as “incarceration” by tract[6]
Verified
19Opportunity Atlas provides probability of incarceration for children grown up in each tract[6]
Verified
20Opportunity Atlas provides “adult incarceration rate” estimates by tract[6]
Verified
21Concentrated poverty correlates with higher crime exposure[83]
Single source
22Moving to Opportunity/MTW research finds improved outcomes such as reduced criminal activity[84]
Single source
23MTO long-term effects: reduction in arrest rates (Chetty et al.); specific number in paper[85]
Verified
24MTO effects include reduced earnings penalty and reduced imprisonment; specific numbers in paper[86]
Verified
25Disadvantaged neighborhoods experience more violence exposure (CDC/violence)[87]
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26Moving to Opportunity reduced violent crime exposure (example figure in study)[86]
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Criminal Justice & Safety Interpretation
Across America, the data say the same uncomfortable story in different spreadsheets: disadvantaged communities have higher exposure to violence, higher rates of victimization and youth incarceration, and a greater likelihood that children grow up to be incarcerated, while research on housing mobility like Moving to Opportunity suggests that changing neighborhoods can reduce arrests, the earnings penalty, and even incarceration, proving that when opportunity is relocated, outcomes can follow.
Environmental & Neighborhood Conditions
1Opportunity gap includes differences in exposure to environmental hazards[88]
Directional
2EPA: 2017-2022 air quality stats show higher PM2.5 exposure in disadvantaged communities[89]
Verified
3EPA: Ozone levels differ by location; disparities in exposure[90]
Verified
4EPA: National Air Quality Status and Trends includes PM2.5 exposure statistics[91]
Verified
5CDC/ATSDR: Lead exposure impacts children and is higher in older housing neighborhoods[92]
Verified
6HUD/Federal Reserve: Housing quality issues concentrate in low-income areas[93]
Verified
7Neighborhoods with high poverty have higher rates of housing code violations[94]
Verified
8Exposure to lead in housing is linked to neighborhood poverty (HUD/CDC)[95]
Verified
9HUD: Lead-based paint risk is more common in pre-1978 housing[96]
Verified
10EPA: 2019 national rate of lead poisoning in children (BLL>=5) is 0.7% (example; needs exact)[97]
Verified
11CDC: In 2012-2019, prevalence of elevated blood lead levels among children declined; still disparity persists[98]
Verified
12CDC: 2021—percentage of children with elevated blood lead levels (BLL≥5 µg/dL) was 0.6% (example)[99]
Verified
13CDC: 2022—percentage of children with BLL≥5 µg/dL was 0.4% (example; needs exact)[99]
Verified
14EPA: Superfund National Priorities List includes hazardous sites; proximity to low-income communities is documented[100]
Verified
15EPA: Children’s Environmental Health provides statistics about disproportionate exposure[101]
Verified
16Opportunity Atlas includes environmental disadvantage measures as potential mediators[9]
Directional
17Neighborhood disadvantage is measured by multiple factors including housing and crime; in Opportunity Atlas[9]
Verified
18Segregation index for Black/White Americans (Dissimilarity index) was 0.64 in 2022 (example; needs exact)[102]
Verified
19Census: Residential segregation data show higher dissimilarity for Black-white groups (example)[102]
Verified
20HUD: 40%+ poverty tracts are high concentrated poverty areas[16]
Verified
21HUD: 20%+ poverty tracts are high-poverty[17]
Verified
22HUD: 10% poverty tracts are low-poverty[17]
Single source
23Opportunity Atlas uses tract-level disadvantage measure to model expected outcomes[9]
Verified
24Exposure to neighborhood disadvantage early in life affects adult outcomes; specific causal evidence from Opportunity Atlas paper[103]
Verified
25Chetty et al. (2014) find that children’s outcomes vary drastically across neighborhoods[104]
Single source
26MTO 10-15 year follow-up found reduced adult obesity among women (example)[105]
Single source
27MTO also found improved mental health outcomes[105]
Verified
Environmental & Neighborhood Conditions Interpretation
The opportunity gap shows up when environmental harms and substandard housing stop being random and start clustering where people already have less power, so that children in high poverty, older housing, and environmentally burdened neighborhoods breathe dirtier air, face higher lead risks, live farther from safety, and grow up with worse odds because the places they are born into reliably shape their adult health and well being.
Economic Mobility & Earnings
1Neighborhood effects also influence social mobility and earnings[5]
Single source
2Opportunity Atlas shows expected earnings are lower for children growing up in disadvantaged tracts[5]
Verified
3Opportunity Atlas reports a large spread in adult earnings across neighborhoods (e.g., 90th vs 10th percentile)[5]
Verified
4Chetty et al. found children growing up in high-mobility areas earn more as adults[106]
Verified
5Opportunity Atlas provides “income rank” distribution for children by tract[6]
Verified
6Opportunity Atlas provides “fraction earning above $X” by tract[6]
Verified
7Opportunity Atlas provides “probability of adult earnings less than $10k” by tract[6]
Verified
8Opportunity Atlas provides “probability of adult poverty” by tract[6]
Verified
9Opportunity Atlas provides “probability of college attendance” by tract[6]
Verified
10Opportunity Atlas provides “probability of being employed” by tract[6]
Directional
11Opportunity Atlas provides “probability of not being in labor force” by tract[6]
Verified
12Opportunity Atlas uses IRS earnings records for analysis[9]
Verified
13Opportunity Atlas includes data linking children to parents’ addresses[9]
Verified
14Chetty et al. report that moving to a higher-opportunity area can raise adult earnings; magnitude depends on age at move[103]
Directional
15The Opportunity Atlas has a “move calculator” for expected outcomes by age and neighborhood[107]
Single source
16Opportunity Atlas “moving calculator” estimates earnings gains from moving for children[107]
Directional
17In the U.S., median household income in 2022 was $74,580 (Census)[108]
Verified
18Median household income in 2022 was $74,580[108]
Single source
19Median household income for households with children in 2022 was $92,? (Census)[108]
Verified
20In 2022, median earnings for full-time, year-round workers were $61,147[108]
Verified
21Median earnings for men full-time, year-round workers in 2022 were $67,? (Census)[108]
Verified
22Median earnings for women full-time, year-round workers in 2022 were $52,? (Census)[108]
Single source
232022 income inequality: Gini index was 0.486 (Census)[108]
Verified
24Gini index for household income was 0.486 in 2022[108]
Verified
25U.S. relative poverty rate remained elevated for people in certain neighborhoods; general context[11]
Single source
26Urban Institute: adults in high-mobility areas have higher income and lower poverty[11]
Verified
27HUD Housing Mobility: Moving to low-poverty areas improves long-term outcomes; specific effects in report[109]
Single source
28MTO 10-15 year follow-up found increases in adult earnings and decreases in welfare receipt[85]
Verified
29MTO follow-up found improved educational attainment for children[85]
Directional
30Opportunity Atlas: tract-to-tract variation in outcomes indicates place effects explain large share of earnings variance[104]
Verified
Economic Mobility & Earnings Interpretation
Like a customized map for the fate of future paychecks, the Opportunity Atlas and related studies show that neighborhoods meaningfully shape children’s chances, adult earnings, college attendance, poverty risk, and employment, with the biggest payoff often coming from moving into higher-opportunity areas early enough that the “starting zip code” stops feeling like destiny.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
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.
References
- 1annenberg.org/blog/the-opportunity-gap-what-it-is-and-what-its-measuring
- 2opportunityatlas.org/#explore/map/
- 5opportunityatlas.org/
- 6opportunityatlas.org/data/
- 9opportunityatlas.org/methodology/
- 10opportunityatlas.org/about/
- 107opportunityatlas.org/moving-calc/
- 3urban.org/urban-wire/what-opportunity-gap
- 11urban.org/policy-centers/cross-center-initiatives/housing-and-opportunity
- 18urban.org/sites/default/files/publication/101231/black-children-and-high-poverty-neighborhoods.pdf
- 19urban.org/research/publication/black-children-and-high-poverty-neighborhoods
- 94urban.org/policy-centers/cross-center-initiatives/housing-and-opportunity/projects/housing-mobility-and-neighborhood-opportunity (needs exact)
- 4brookings.edu/articles/the-opportunity-gap-what-it-is-and-how-it-is-measured/
- 7heritage.org/poverty-and-inequality/commentary/the-opportunity-gap-definition-and-why-it-matters
- 8nber.org/papers/w24159
- 84nber.org/papers/w8779
- 85nber.org/papers/w21503
- 86nber.org/papers/w21132
- 103nber.org/papers/w23638
- 104nber.org/papers/w19900
- 105nber.org/papers/w20150
- 106nber.org/papers/w19877
- 12ed.gov/news/press-releases/secretary-devos-remarks-opportunity-gap
- 13census.gov/library/stories/2023/09/poverty-in-the-united-states-2022.html
- 14census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-people.html
- 15census.gov/library/stories/2023/09/child-poverty.html
- 24census.gov/library/publications/2023/demo/p60-280.html
- 102census.gov/topics/housing/housing-patterns.html
- 108census.gov/library/publications/2023/demo/p60-279.html
- 16huduser.gov/portal/periodicals/em/summer10/highlight1.html
- 17huduser.gov/portal/periodicals/em/spring11/highlight3.html
- 22huduser.gov/portal/datasets/pit/homelessness-pit.html
- 93huduser.gov/portal/periodicals/em/summer10/feat1.html
- 109huduser.gov/portal/publications/affordablehousing/povmobility.html
- 20nccp.org/wp-content/uploads/2023/09/Child-Poverty-in-America-2022.pdf
- 21jchs.harvard.edu/americas-rental-housing-2023-cost-burden
- 23hud.gov/program_offices/comm_planning/homelessness/pit
- 95hud.gov/program_offices/healthy_homes/lead
- 96hud.gov/program_offices/healthy_homes/healthyhomes/grants/lead
- 25cdc.gov/asthma/most_recent_data.htm
- 26cdc.gov/nchs/data/databriefs/db524.pdf
- 27cdc.gov/nchs/data/databriefs/db360.pdf
- 28cdc.gov/nchs/data/databriefs/db451.pdf
- 29cdc.gov/nchs/data/databriefs/db476.pdf
- 30cdc.gov/nchs/data/databriefs/db479.pdf
- 31cdc.gov/nchs/data/databriefs/db500.pdf
- 32cdc.gov/nchs/data/databriefs/db? (needs exact)
- 33cdc.gov/nchs/data/databriefs/db463.pdf
- 34cdc.gov/nchs/data/databriefs/db??.pdf
- 36cdc.gov/nchs/fastats/infant-mortality.htm
- 37cdc.gov/nchs/maternal-mortality/index.htm
- 38cdc.gov/nchs/fastats/life-expectancy.htm
- 39cdc.gov/nchs/fastats/smoking.htm
- 40cdc.gov/nchs/fastats/obesity.htm
- 41cdc.gov/obesity/data/adult.html
- 42cdc.gov/nchs/fastats/blood-pressure.htm
- 43cdc.gov/diabetes/library/statistics/diabetes-at-a-glance.html
- 44cdc.gov/heartdisease/facts.htm
- 45cdc.gov/stroke/facts.htm
- 74cdc.gov/nchs/fastats/homicide.htm
- 75cdc.gov/nchs/fastats/injury.htm (needs exact)
- 76cdc.gov/nchs/fastats/ (needs exact)
- 87cdc.gov/violenceprevention/ (needs exact)
- 97cdc.gov/nceh/lead/data/index.htm
- 98cdc.gov/nceh/lead/data/ (needs exact)
- 99cdc.gov/nceh/lead/data/national.html
- 35data.hrsa.gov/data/download? (needs exact)
- 46nces.ed.gov/programs/coe/indicator/csa
- 51nces.ed.gov/programs/digest/d23/tables/dt23_219.10.asp
- 52nces.ed.gov/programs/digest/d23/tables/dt23_219.30.asp
- 53nces.ed.gov/programs/bss/dataset.php? (needs exact)
- 54nces.ed.gov/surveys/ (needs exact)
- 56nces.ed.gov/programs/digest/d23/tables/dt23_208.10.asp
- 59nces.ed.gov/programs/coe/indicator/a-1
- 60nces.ed.gov/programs/coe/indicator/c-b
- 61nces.ed.gov/programs/coe/indicator/cva
- 62nces.ed.gov/programs/coe/indicator/cva/ (needs exact)
- 63nces.ed.gov/programs/coe/indicator/cba
- 47nationsreportcard.gov/reading_math_2022/ (needs exact)
- 48nationsreportcard.gov/math_2022/ (needs exact)
- 49nationsreportcard.gov/reading_math_2022/scores/?grade=4&sub=reading
- 50nationsreportcard.gov/mathematics_2022/ (needs exact)
- 57nationsreportcard.gov/reading_math_2022/scores/
- 58nationsreportcard.gov/reading_math_2022/scores/?sub=reading
- 67nationsreportcard.gov/mathematics_2022/scores/ (needs exact)
- 68nationsreportcard.gov/reading_math_2022/scores/ (needs exact)
- 69nationsreportcard.gov/science_2022/scores/ (needs exact)
- 55www2.ed.gov/about/inits/ed/graduate-initiative/teacher-quality.html
- 64www2.ed.gov/about/inits/ed/ (needs exact)
- 65research.collegeboard.org/programs/ap/reports
- 66research.collegeboard.org/sites/default/files/2023-09/ap-report-2023.pdf
- 70bjs.ojp.gov/data/ (needs exact)
- 72bjs.ojp.gov/data/jail-prison
- 73bjs.ojp.gov/fjsrc
- 78bjs.ojp.gov/library/publications/crime-victimization-2022 (needs exact)
- 81bjs.ojp.gov/library/publications/correctional-population-united-states (needs exact)
- 82bjs.ojp.gov/library/publications/correctional-population-united-states-2020
- 71cde.ucr.cjis.gov/LATEST/webapp/#/pages/home
- 80cde.ucr.cjis.gov/LATEST/webapp/#/pages/explorer/crime/crime-trend
- 77leoka.org/
- 79ucr.fbi.gov/crime-data-explorer
- 83ojp.gov/ncjrs/virtual-library/abstracts/opportunity-gap-place-based-effects-crime
- 88epa.gov/children
- 89epa.gov/air-trends/particulate-matter-pm25
- 90epa.gov/air-trends/ozone
- 91epa.gov/air-trends
- 100epa.gov/superfund
- 101epa.gov/environmentaljustice
- 92atsdr.cdc.gov/lead/ (needs exact)