, Volume 56, Issue 3, pp 999–1021 | Cite as

Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races

  • Randall AkeeEmail author
  • Maggie R. Jones
  • Sonya R. Porter


Using unique linked data, we examine income inequality and mobility across racial and ethnic groups in the United States. Our data encompass the universe of income tax filers in the United States for the period 2000–2014, matched with individual-level race and ethnicity information from multiple censuses and American Community Survey data. We document both income inequality and mobility trends over the period. We find significant stratification in terms of average incomes by racial/ethnic group and distinct differences in within-group income inequality. The groups with the highest incomes—whites and Asians—also have the highest levels of within-group inequality and the lowest levels of within-group mobility. The reverse is true for the lowest-income groups: blacks, American Indians, and Hispanics have lower within-group inequality and immobility. On the other hand, low-income groups are also highly immobile in terms of overall, rather than within-group, mobility. These same groups also have a higher probability of experiencing downward mobility compared with whites and Asians. We also find that within-group income inequality increased for all groups between 2000 and 2014, and the increase was especially large for whites. The picture that emerges from our analysis is of a rigid income structure, with mainly whites and Asians positioned at the top and blacks, American Indians, and Hispanics confined to the bottom.


Income inequality Income shares Income mobility Race Administrative data 



This article is released to inform interested parties of research and to encourage discussion. The views expressed are those of the authors and not necessarily those of the U.S. Census Bureau. We would like to thank participants at the UCLA Center for Population Research seminar and seminars at Dartmouth University and the University of Kentucky, as well as Moshe Buchinsky, David Card, Raj Chetty, Sandy Darity, Rajeev Dehejia, Nicole Fortin, John Friedman, Tim Halliday, Darrick Hamilton, Nathan Hendren, Chinhui Juhn, Adriana Kugler, Adriana Lleras-Muney, Paul Ong, Sarah Reber, Mark Rosenzweig, Matthias Schuendeln, Steven Stillman, and Till von Wachter for helpful comments and feedback; any errors are ours alone.

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  1. Altonji, J. G., & Blank, R. M. (1999). Race and gender in the labor market. In O. Ashenfelter & D. Card (Eds.), Handbook of Labor Economics (Vol. 3, pp. 3143–3259). Amsterdam, the Netherlands: Elsevier.Google Scholar
  2. Ashok, V., Kuziemko, I., & Washington, E. (2015). Support for redistribution in an age of rising inequality: New stylized facts and some tentative explanations. Brookings Papers on Economic Activity, 2015(1), 367–405.CrossRefGoogle Scholar
  3. Bayer, P., & Charles, K. K. (2016). Divergent paths: Structural change, economic rank, and the evolution of black-white earnings differences, 1940–2014 (NBER Working Paper No. 22797). Cambridge, MA: National Bureau of Economic Research.CrossRefGoogle Scholar
  4. Black, D., Haviland, A., Sanders, S., & Taylor, L. (2006). Why do minority men earn less? A study of wage differentials among the highly educated. Review of Economics and Statistics, 88, 300–313.CrossRefGoogle Scholar
  5. Bloome, D. (2014). Racial inequality trends and the intergenerational persistence of income and family structure. American Sociological Review, 79, 1196–1225.CrossRefGoogle Scholar
  6. Bloome, D., & Western, B. (2011). Cohort change and racial differences in educational and income mobility. Social Forces, 90, 375–395.CrossRefGoogle Scholar
  7. Bollinger, C. R., Hirsch, B. T., Hokayem, C., & Ziliak, J. P. (2015). Measuring levels and trends in earnings inequality with nonresponse, imputations, and topcoding (Working paper). Retrieved from
  8. Bollinger, C. R., Hirsch, B. T., Hokayem, C. M., & Ziliak, J. P. (2018). Trouble in the tails? What we know about earnings nonresponse thirty years after Lillard, Smith, and Welch (IZA Discussion Paper No. 11710). Bonn, Germany: Institute of Labor Economics.Google Scholar
  9. Bond, B., Brown, J. D., Luque, A., & O’Hara, A. (2014). The nature of the bias when studying only linkable person records: Evidence from the American Community Survey (CARRA Working Paper No. 2014-08). Washington, DC: Center for Administrative Records Research and Applications.Google Scholar
  10. Bound, J., & Freeman, R. B. (1992). What went wrong? The erosion of relative earnings and employment among young black men in the 1980s. Quarterly Journal of Economics, 107, 201–232.CrossRefGoogle Scholar
  11. Boustan, L. P., & Margo, R. A. (2016). Racial differences in health in the United States: A long-run perspective. In J. Komlos & I. R. Kelly (Eds.), The Oxford handbook of economics and human biology (pp. 730–750). New York, NY: Oxford University Press.Google Scholar
  12. Carruthers, C. K., & Wanamaker, M. H. (2017). Returns to school resources in the Jim Crow South. Explorations in Economic History, 64, 104–110.CrossRefGoogle Scholar
  13. Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014). Where is the land of opportunity? The geography of intergenerational mobility in the United States. Quarterly Journal of Economics, 129, 1553–1623.CrossRefGoogle Scholar
  14. Collins, W. J., & Margo, R. A. (2011). Race and home ownership from the end of the Civil War to the present. American Economic Review: Papers and Proceedings, 101, 355–359.CrossRefGoogle Scholar
  15. Costanzo, J., & von Koppenfels, A. K. (2013, May 17). Counting the uncountable: Overseas Americans. Migration Information Source. Retrieved from
  16. Darity, W. A., & Mason, P. L. (1998). Evidence on discrimination in employment: Codes of color, codes of gender. Journal of Economic Perspectives, 12(2), 63–90.CrossRefGoogle Scholar
  17. DeBacker, J., Heim, B., Panousi, V., Ramnath, S., & Vidangos, I. (2013). Rising inequality: Transitory or persistent? New evidence from a panel of U.S. tax returns. Brookings Papers on Economic Activity, 2013(1), 67–142.CrossRefGoogle Scholar
  18. Fajnzylber, P., Lederman, D., & Loayza, N. (2002). Inequality and violent crime. Journal of Law and Economics, 45, 1–39.CrossRefGoogle Scholar
  19. Feenberg, D. R., & Poterba, J. M. (2000). The income and tax share of very high-income households, 1960–1995. American Economic Review: Papers and Proceedings, 90, 264–270.CrossRefGoogle Scholar
  20. Fryer, R., Jr. (2011). Racial inequality in the 21st century: The declining significance of discrimination. Handbook of Labor Economics, 4, 855–971.CrossRefGoogle Scholar
  21. Goldin, C., & Margo, R. A. (1992). The great compression: The wage structure in the United States at mid-century. Quarterly Journal of Economics, 107, 1–34.CrossRefGoogle Scholar
  22. Hout, M. (2016). Money and morale: Growing inequality affects how Americans view themselves and others. Annals of the American Academy of Political and Social Science, 663, 204–228.CrossRefGoogle Scholar
  23. Internal Revenue Service (IRS). (2016). Statistics of income—2016 individual income tax returns (Report). Washington, DC: IRS.
  24. Juhn, C., Murphy, K. M., & Pierce, B. (1991). Accounting for the slowdown in black-white wage convergence. In M. H. Kosters (Ed.), Workers and their wages (pp. 107–143). Washington, DC: AEI Press.Google Scholar
  25. Juhn, C., Murphy, K. M., & Pierce, B. (1993). Wage inequality and the rise in returns to skill. Journal of Political Economy, 101, 410–442.CrossRefGoogle Scholar
  26. Kawachi, I., Kennedy, B. P., Lochner, K., & Prothrow-Stith, D. (1997). Social capital, income inequality, and mortality. American Journal of Public Health, 87, 1491–1498.CrossRefGoogle Scholar
  27. Kearney, M. S., & Levine, P. B. (2016). Income inequality, social mobility, and the decision to drop out of high school. Brookings Papers on Economic Activity, 2016(1), 333–380.CrossRefGoogle Scholar
  28. Keister, L. A. (2000). Race and wealth inequality: The impact of racial differences in asset ownership on the distribution of household wealth. Social Science Research, 29, 477–502.CrossRefGoogle Scholar
  29. Kennedy, B. P., Kawachi, I., Prothrow-Stith, D., Lochner, K., & Gupta, V. (1998). Social capital, income inequality, and firearm violent crime. Social Science & Medicine, 47, 7–17.CrossRefGoogle Scholar
  30. Kochhar, R., & Fry, R. (2014, December 12). Wealth inequality has widened along racial, ethnic lines since end of great recession (FactTank: News in the Numbers report). Washington, DC: Pew Research Center. Retrieved from
  31. Kopczuk, W., Saez, E., & Song, J. (2010). Earnings inequality and mobility in the United States: Evidence from Social Security data since 1937. Quarterly Journal of Economics, 125, 91–128.CrossRefGoogle Scholar
  32. LaFree, G., Baumer, E. P., & O’Brien, R. (2010). Still separate and unequal? A city-level analysis of the black-white gap in homicide arrests since 1960. American Sociological Review, 75, 75–100.CrossRefGoogle Scholar
  33. Lang, K., Lehmann, J., & Yeon, K. (2012). Racial discrimination in the labor market: Theory and empirics. Journal of Economic Literature, 50, 959–1006.CrossRefGoogle Scholar
  34. Matlack, J. L., & Vigdor, J. L. (2008). Do rising tides lift all prices? Income inequality and housing affordability. Journal of Housing Economics, 17, 212–224.CrossRefGoogle Scholar
  35. McKernan, S.-M., Ratcliffe, C., Steuerle, C. E., Kalish, E., Quakenbush, C., Lei, S.,... Chartoff, B. (2015). Nine charts about wealth inequality in America. Washington, DC: Urban Institute. Retrieved from
  36. Meyer, B. D., & Mittag, N. (2015). Using linked survey and administrative data to better measure income: Implications for poverty, program effectiveness and holes in the safety net (NBER Working Paper No. 21676). Cambridge, MA: National Bureau of Economic Research.Google Scholar
  37. Mitnik, P. A., Cumberworth, E., & Grusky, D. B. (2016). Social mobility in a high-inequality regime. Annals of the American Academy of Political and Social Science, 663, 140–184.CrossRefGoogle Scholar
  38. National Research Council. (1995). Measuring poverty: A new approach. Washington, DC: National Academies Press.Google Scholar
  39. Neal, D. A., & Johnson, W. R. (1996). The role of premarket factors in black-white wage differences. Journal of Political Economy, 104, 869–895.CrossRefGoogle Scholar
  40. Pedace, R., & Bates, N. (2000). Using administrative records to assess earnings reporting error in the Survey of Income and Program Participation. Journal of Economic and Social Measurement, 26, 173–192.CrossRefGoogle Scholar
  41. Piketty, T., & Saez, E. (2003). Income inequality in the United States, 1913–1998. Quarterly Journal of Economics, 118, 1–41.CrossRefGoogle Scholar
  42. Ramakrishnan, K., & Ahmad, F. Z. (2014). State of Asian Americans and Pacific Islander series: A multifaceted portrait of a growing population (Technical report). Washington, DC: Center for American Progress.Google Scholar
  43. Ramraj, C., Shahidi, F. V., Darity, W., Kawachi, I., Zuberi, D., & Siddiqi, A. (2016). Equally inequitable? A cross-national comparative study of racial health inequalities in the United States and Canada. Social Science & Medicine, 161, 19–26.CrossRefGoogle Scholar
  44. Reardon, S. F., & Bischoff, K. (2011). Income inequality and income segregation. American Journal of Sociology, 116, 1092–1153.CrossRefGoogle Scholar
  45. Ritter, J. A., & Taylor, L. J. (2011). Racial disparity in unemployment. Review of Economics and Statistics, 93, 30–42.CrossRefGoogle Scholar
  46. Snipp, C. M., & Cheung, S. Y. (2016). Changes in racial and gender inequality since 1970. Annals of the American Academy of Political and Social Science, 663, 80–98.CrossRefGoogle Scholar
  47. Snyder, T. D., & Dillow, S. A. (2013). Digest of education statistics, 2012 (NCES Report 2014-015). Washington, DC: National Center for Education Statistics. Retrieved from
  48. Subramanian, S. V., & Kawachi, I. (2004). Income inequality and health: What have we learned so far? Epidemiologic Reviews, 26, 78–91.CrossRefGoogle Scholar
  49. Wagner, D., & Layne, M. (2014). The Person Identification Validation System (PVS): Applying the Center for Administrative Records Research and Applications’ (CARRA) record linkage software (CARRA Working Paper No. 2014-01). Washington, DC: U.S. Census Bureau, Center for Administrative Records Research and Applications.Google Scholar

Copyright information

© Population Association of America 2019

Authors and Affiliations

  • Randall Akee
    • 1
    • 2
    • 3
    Email author
  • Maggie R. Jones
    • 4
  • Sonya R. Porter
    • 4
  1. 1.Economic StudiesBrookings InstitutionWashingtonUSA
  2. 2.Department of Public PolicyUCLALos AngelesUSA
  3. 3.National Bureau of Economic ResearchCambridgeUSA
  4. 4.U.S. Census Bureau, Center for Economic StudiesSuitlandUSA

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