Research shows that your zip code may matter more than your work ethic when it comes to moving up the economic ladder.
What the Data Shows
Economic Mobility: Key Findings (Opportunity Insights / Raj Chetty)
| Finding | Data |
|---|---|
| America’s mobility rate | A child born in the bottom 20% has a 7.5% chance of reaching the top 20% |
| Geographic variation | This ranges from 4% (some Southern counties) to 16% (some Midwest metros) |
| The “Great Gatsby Curve” | Higher inequality → lower mobility |
| Impact of moving | Children who move to high-mobility areas before age 13 earn ~$4,000/year more as adults |
| Neighborhood effects | College attendance rates vary from 20% to 80% across neighborhoods in the same city |
State Rankings: Upward Mobility
Expected Income Rank for Children Born at the 25th Percentile
Higher number = better mobility (children from low-income families end up earning more as adults).
| Rank | State | Expected Rank (out of 100) | Category |
|---|---|---|---|
| 1 | Utah | 46.2 | High mobility |
| 2 | Minnesota | 45.1 | High mobility |
| 3 | North Dakota | 44.8 | High mobility |
| 4 | South Dakota | 44.5 | High mobility |
| 5 | Montana | 44.0 | High mobility |
| 6 | Iowa | 43.8 | High mobility |
| 7 | Nebraska | 43.5 | High mobility |
| 8 | Vermont | 43.2 | High mobility |
| 9 | Wyoming | 42.8 | High mobility |
| 10 | Wisconsin | 42.5 | High mobility |
| 11 | New Hampshire | 42.3 | High mobility |
| 12 | Kansas | 42.0 | Moderate-High |
| 13 | Idaho | 41.8 | Moderate-High |
| 14 | Massachusetts | 41.5 | Moderate-High |
| 15 | Washington | 41.3 | Moderate-High |
| — | National Average | 40.0 | — |
| 41 | Georgia | 37.5 | Low mobility |
| 42 | Tennessee | 37.2 | Low mobility |
| 43 | Kentucky | 36.8 | Low mobility |
| 44 | Arkansas | 36.5 | Low mobility |
| 45 | Alabama | 36.0 | Low mobility |
| 46 | South Carolina | 35.8 | Very low |
| 47 | North Carolina | 35.5 | Very low |
| 48 | Louisiana | 35.2 | Very low |
| 49 | Mississippi | 34.5 | Very low |
| 50 | District of Columbia | 33.0 | Very low (extreme inequality) |
Metro Area Rankings
Best Metros for Economic Mobility
| Rank | Metro Area | Expected Rank at 25th Percentile | Key Traits |
|---|---|---|---|
| 1 | Salt Lake City, UT | 46.8 | Low inequality, strong community ties |
| 2 | San Jose, CA | 46.5 | Tech economy, high investment in education |
| 3 | Minneapolis, MN | 45.5 | Strong schools, low segregation |
| 4 | San Francisco, CA | 45.0 | High-wage economy |
| 5 | Seattle, WA | 44.8 | Tech economy, education investment |
| 6 | Madison, WI | 44.5 | University town, low poverty |
| 7 | Boston, MA | 44.0 | Education hub |
| 8 | Denver, CO | 43.5 | Diversified economy |
| 9 | Portland, OR | 43.0 | Strong working class jobs |
| 10 | Des Moines, IA | 42.8 | Low inequality, affordable |
Worst Metros for Economic Mobility
| Rank | Metro Area | Expected Rank at 25th Percentile | Key Traits |
|---|---|---|---|
| 1 | Charlotte, NC | 33.2 | High segregation, uneven schools |
| 2 | Atlanta, GA | 33.5 | Extreme sprawl, segregation |
| 3 | Indianapolis, IN | 34.0 | Low social capital |
| 4 | Raleigh, NC | 34.2 | NC’s overall low mobility |
| 5 | Memphis, TN | 34.5 | High poverty, segregation |
| 6 | Jacksonville, FL | 34.8 | Low investment in education |
| 7 | Columbus, OH | 35.0 | Inequality within the metro |
| 8 | Milwaukee, WI | 35.2 | Extreme racial segregation |
| 9 | Detroit, MI | 35.5 | Deindustrialization, segregation |
| 10 | Baltimore, MD | 35.8 | Concentrated poverty |
What Drives Mobility: The Five Factors
Factors Most Correlated With Upward Mobility
| Factor | Correlation Strength | High-Mobility States | Low-Mobility States |
|---|---|---|---|
| Income inequality (Gini coefficient) | Very strong (negative) | Low inequality (UT, MN) | High inequality (MS, LA) |
| Racial/economic segregation | Very strong (negative) | Low segregation | High segregation |
| School quality | Strong (positive) | Higher spending, better outcomes | Lower spending, worse outcomes |
| Social capital (community engagement) | Strong (positive) | High civic participation | Low civic participation |
| Family structure (% two-parent homes) | Strong (positive) | Higher rates | Lower rates |
US vs Other Countries
Intergenerational Earnings Elasticity (Lower = More Mobile)
| Country | Elasticity | Interpretation |
|---|---|---|
| Denmark | 0.15 | Very high mobility |
| Norway | 0.17 | Very high mobility |
| Finland | 0.18 | Very high mobility |
| Canada | 0.19 | Very high mobility |
| Australia | 0.26 | High mobility |
| Germany | 0.32 | Moderate mobility |
| Japan | 0.34 | Moderate mobility |
| France | 0.41 | Moderate-Low mobility |
| United Kingdom | 0.50 | Low mobility |
| United States | 0.47 | Low mobility |
| Italy | 0.48 | Low mobility |
| Brazil | 0.58 | Very low mobility |
The US has among the lowest economic mobility of wealthy nations — despite a cultural narrative of “anyone can make it.”
Probability of Moving from Bottom 20% to Top 20%
| Country | Probability |
|---|---|
| Denmark | 14.4% |
| Canada | 13.5% |
| United Kingdom | 9.0% |
| United States | 7.5% |
| “Perfect mobility” would be | 20.0% |
Race and Mobility
Expected Income Rank for Children Born at 25th Percentile, by Race
| Race/Ethnicity | Expected Adult Income Rank | Difference from White |
|---|---|---|
| White | 45.0 | — |
| Asian American | 51.0 | +6.0 (higher) |
| Hispanic | 40.5 | -4.5 |
| Black | 32.0 | -13.0 |
| Native American | 33.0 | -12.0 |
Black-White Mobility Gap by State
| State | White (25th percentile) Expected Rank | Black (25th percentile) Expected Rank | Gap |
|---|---|---|---|
| Minnesota | 48.0 | 30.0 | 18.0 |
| Wisconsin | 47.5 | 29.5 | 18.0 |
| California | 44.0 | 36.0 | 8.0 |
| Texas | 42.0 | 33.5 | 8.5 |
| New York | 43.0 | 32.0 | 11.0 |
Even the highest-mobility states have large racial gaps in economic mobility.
What Improves Mobility: Policy Evidence
| Intervention | Evidence of Impact | Example |
|---|---|---|
| Moving to higher-opportunity neighborhoods | +$4,000/year income boost (if before age 13) | Moving to Opportunity experiment |
| Early childhood education (pre-K) | 13% higher earnings as adults | Perry Preschool, Abecedarian studies |
| Reducing school segregation | Significant positive effects on income | Research on desegregation orders |
| Earned Income Tax Credit (EITC) | Increased intergenerational mobility | Natural experiments across states |
| Affordable housing in mixed-income areas | Improved school outcomes, income | LIHTC research |
| Mentoring programs | 10-20% income improvement | Big Brothers Big Sisters research |
Related: Wealth Inequality | Poverty Statistics | Income to Live Comfortably | Generational Wealth Gap | Average Income by Race | Average Income by Education