IDEAS home Printed from https://ideas.repec.org/p/cbo/report/55413.html
   My bibliography  Save this paper

The Distribution of Household Income, 2016

Author

Listed:
  • Congressional Budget Office

Abstract

In 2016, average income before accounting for means-tested transfers and federal taxes was $21,000 for the lowest income quintile (fifth) of U.S. households and $291,000 for the highest quintile. Those transfers and taxes increased average household income toward the bottom of the income distribution and reduced income toward the top of the distribution. After accounting for the effects of transfers and taxes, CBO estimates that average household income for the lowest and highest quintiles was $35,000 and $214,000, respectively.

Suggested Citation

  • Congressional Budget Office, 2019. "The Distribution of Household Income, 2016," Reports 55413, Congressional Budget Office.
    • Handle: RePEc:cbo:report:55413
    as

    Download full text from publisher

    File URL: https://www.cbo.gov/system/files/2019-07/55413-CBO-distribution-of-household-income-2016.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kevin L. McKinney & John M. Abowd & John Sabelhaus, 2021. "United States Earnings Dynamics: Inequality, Mobility, and Volatility," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 69-104, National Bureau of Economic Research, Inc.
    2. Bagis, Bilal & Yumurtaci, Aynur, 2020. "Welfare Perceptions of the Youth: A Turkish Case Study," GLO Discussion Paper Series 671, Global Labor Organization (GLO).
    3. Wojciech Kopczuk & Eric Zwick, 2020. "Business Incomes at the Top," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 27-51, Fall.
    4. Brewer, Mike & Joyce, Robert & Waters, Tom & Woods, Joseph, 2020. "A method for decomposing the impact of reforms on the long-run income distribution, with an application to universal credit," Economics Letters, Elsevier, vol. 192(C).
    5. Muhammad Hilmi Abdul Majid & Kamarulzaman Ibrahim, 2021. "On Bayesian approach to composite Pareto models," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-22, September.

    More about this item

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbo:report:55413. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbogvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.