Distribution of Personal Income
These statistics take one of BEA's primary economic indicators – U.S. personal income – and measure how it is distributed across households. This provides a way to assess how households share in the nation's economic growth. The statistics build on more than a decade of BEA research by bringing in new sources of data, including demographic surveys, aggregated tax records, and administrative records. The first national prototype statistics were published in 2020 and the first experimental state statistics were published in 2023.
Distribution of U.S. Personal Income
BEA produces a distribution of personal income based on the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), a nationally representative annual survey available nine months after the calendar year, augmented with tax and administrative data. This exercise bridges the gap between household-level data and national economic statistics. The methodology for distributing personal income allocates income totals from NIPA Table 2.1 across households. This bridges the gap between household-level data and national economic statistics. Results are adjusted for household size and compiled by income quantile and year.
National Nowcast
To improve timeliness, BEA has developed an experimental nowcast for 2024 that balances user needs for relevance and accuracy. Machine learning techniques analyze relationships between published annual distributions and current NIPA totals to generate timely estimates at the quintile level. The nowcasting methodology is detailed in BEA Working Paper 2024-6, with an abridged version published in AEA Papers and Proceedings.
The following are estimates for shares (2023 and 2024) and growth of personal income (2023-2024) by quintile, as published for 2023 and nowcast for 2024:
2023 Share of PI (Published) |
2024 Share of PI (Nowcast) |
2024 Growth in PI (Nowcast) |
|
---|---|---|---|
Q1: 0-20% | 5.3 | 5.2 | 2.7% |
Q2: 20-40% | 9.6 | 9.5 | 4.1% |
Q3: 40-60% | 13.5 | 13.4 | 4.8% |
Q4: 60-80% | 19.0 | 19.3 | 7.2% |
Q5: 80-100% | 52.6 | 52.6 | 5.5% |
Supplementary National Distributional Analysis
- Growth Incidence Curve
The growth incidence curve (GIC) provides information about the evolution of income over time. A downward sloping GIC indicates that lower income households experienced faster growth than high income households. More information in the Growth Incidence Curves section to follow.
- Internationally Comparable Statistics
A series of internationally comparable research statistics has been provided that follow the guidance of the Organization for Economic Cooperation and Development (OECD) Expert Group on Disparities in a National Accounts framework (EG DNA). These tables (and accompanying methodology document) are provided in the "Internationally Comparable Statistics" section on this page.
- Distribution of Personal Saving (Based on Joint Distribution of Disposable Personal Income and Personal Consumption Expenditures)
To provide a fuller picture of the well-being of households, BEA and the Bureau of Labor Statistics (BLS) have collaborated to produce a distribution of personal saving, by developing a joint distribution of disposable personal income (DPI) and personal consumption expenditures (PCE). Results and methodology are available in the Distribution of Personal Saving Data section that follows.
Distribution of State Personal Income
Prototype statistics showing how personal income is distributed across households in each state and the District of Columbia were updated in July 2025; this release also contains new statistics showing how disposable personal income (personal income after taxes) is distributed across households in each state. The release added new statistics for 2023 and updated the entire series from 2012 to 2022 based on new source data and updates in methods. These statistics build on the methodology BEA uses to estimate the national distribution of personal income. They are consistent with and complement existing BEA data on state personal income totals. Data users are invited to provide feedback on these prototype state statistics as we continue to research and make improvements.
Interactive Map Note. The Gini coefficient is a measure of the distribution of income, where 1 represents the entire income distributed to a single household and 0 represents a completely even distribution of income among households.
- The December 2024 distribution of personal income release revises all previous years and provides provisional data for 2023. Estimates for 2022 are available as a separate file, consistent with previous releases. Estimates for 2000-2023 are available in a pooled summary file. Given the importance of providing timely data, extrapolations were made for several income sources with unavailable data to provide distributional estimates for 2023 (provisional summary file). Because the top 1 percent and top 5 percent income shares are substantially influenced by not-yet-available Statistics of Income source data for 2023, interval ranges are provided for these estimates.
- Download the full dataset of all available years and metrics CSV
- Data for 2022 XLSX
- Provisional Data for 2023 XLSX
- Interactive Tables: Table 2.10. Distributions of Personal and Disposable Income for Households
- Technical Document: An Updated Methodology for Distributing Personal Income PDF December 10, 2024
This document details BEA's methodology for the prototype estimates. - Read-me for Summary File PDF
- Summary of Methodological Updates PDF December 10, 2024
- Infographic: Measuring the Distribution of Personal Income PDF and Image PNG
- The GIC supplements other measures such as the Gini coefficient or the shares of personal income going to different deciles.
- Growth Incidence Curves PDF
- An updated series of internationally comparable research statistics has been provided for the same years (2000-2022 + provisional 2023). Following the same structure as the BEA distribution of personal income tables, this release includes separate file estimates for 2022 and 2023, and summary table for 2000-2023.
- Download the full OECD dataset of all available years and metrics CSV
- Data for 2022 XLSX
- Provisional Data for 2023 XLSX
- OECD Technical Document: An Internationally Comparable Methodology PDF January 16, 2025
- Read-me for OECD Summary File PDF January 16, 2025
- This is an ongoing research project. Current statistics for the distribution of personal saving and joint distribution of disposable personal income and personal consumption expenditures are provided for 2004-2022.
Last updated July 2024; does not reflect the revised distributional estimates released Dec. 10, 2024. - Download the full dataset of all available years and metrics XLSX
- Technical Document: The Methodology for Distributing Personal Saving via a Joint Distribution of Disposable Personal Income and Personal Consumption Expenditures PDF
- Read-me for Summary File PDF
- Includes distribution of state personal income by quintile and top/bottom 10%, 2012–2023.
- Download a summary file of state distributional metrics for 2012-2023 XLSX
- Download detailed files for all states ZIP (Compressed XLSX)
- State Rankings XLSX State rankings for mean and median personal income, before and after adjusting for inflation and regional price differences.
- Summary of Methodological Updates PDF July 10, 2025
- Technical Document PDF October 24, 2023
This document details BEA's methodology for the prototype estimates. - Developing Statistics on the Distribution of State Personal Income: Methodology and Preliminary Results PDF By Dirk van Duym and Christian Awuku-Budu | U.S. Bureau of Economic Analysis, May 2022
- Archive
- New Statistics Show Distribution of Personal Income Within States October 24, 2023
- New Statistics Measure How Personal Income Is Distributed March 6, 2020
- How households share in an economy's growthBy Dennis J. Fixler | Economic Statistics Centre of Excellence, August 2019
- Nowcasting Distributional National Accounts for the United States: A Machine Learning Approach By Marina Gindelsky and Gary Cornwall | U.S. Bureau of Economic Analysis, September 2024. Published in AEA Papers and Proceedings, May 2025.
- Developing Statistics on the Distribution of State Personal Income: Methodology and Preliminary Results By Dirk van Duym and Christian Awuku-Budu | U.S. Bureau of Economic Analysis, May 2022
- The Feasibility of a Quarterly Distribution of Personal Income By Dennis Fixler, Marina Gindelsky, and Robert Kornfeld | U.S. Bureau of Economic Analysis, December 2021
- Distributing Personal Income: Trends Over Time By Dennis Fixler, Marina Gindelsky, and David Johnson | National Bureau of Economic Research, March 2020
- Improving the Measure of the Distribution of Personal IncomeBy Dennis J. Fixler, Marina Gindelsky, and David S. Johnson | BEA Paper, February 2019. Published in AEA Papers and Proceedings, May 2019.
- Towards a Distribution of Household Income: Linking Survey Data to Administrative Data PDFby Dennis J. Fixler, Marina Gindelsky, and David S. Johnson | 35th IARIW General Conference, August 2018
- A Consistent Data Series to Evaluate Growth and Inequality in the National Accountsby Dennis J. Fixler, David S. Johnson, Andrew Craig, and Kevin Furlong | Review of Income and Wealth, November 2017
- Toward National and Regional Distributions of Personal Income PDFby Dennis J. Fixler, David S. Johnson, Andrew Craig, and Kevin J. Furlong | SCB, March 2017
- Accounting for the Distribution of Income in the U.S. National Accountsby Dennis J. Fixler and David S. Johnson | Measuring Economic Sustainability and Progress, 2014
What is Distribution of Personal Income?
Measures how households are sharing in the U.S. economy's growth. Shows how total personal income in the United States is distributed across households.
A Primer on the Gini Coefficient
The Gini coefficient, or Gini index, is widely used as a measure of the concentration of income within a population, such as the residents of a country or state.
Contact Personnel
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TechnicalUS Distribution of Personal Income
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State DataDistribution of State Personal Income
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News MediaConnie O'Connell
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CongressionalThomas Dail