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Income Distributions and Dynamics in America

Data
Visualizing incomes in America: Chart and map toolkit

Use statistics from the Income Distributions and Dynamics in America dataset to customize maps and charts that explore income and earnings inequality across sex, age, geography, and race and ethnicity.

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About this project

Income Distributions and Dynamics in America (IDDA) is a powerful resource for advancing our understanding of incomes across America. This is a collaborative research project of the U.S. Census Bureau and the Minneapolis Fed.

To learn more about how IDDA was constructed, who is represented in IDDA, and what types of questions IDDA can help answer, please visit our FAQ.

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Featured Research
Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity

Natalie Gubbay | Research Associate, Institute

Brandon Hawkins | University of California Davis

Illenin O. Kondo | Principal Research Economist, InstituteKevin Rinz | Visiting Scholar, Institute

John Voorheis | U.S. Census Bureau

Abigail Wozniak | Vice President and Director, Opportunity & Inclusive Growth Institute
July 19, 2024
Read the paper

1-12 of 14

Chart graphic overlaying group of diverse people
Institute update: The IDDA road showLisa Camner McKay | Senior Writer, Institute
September 25, 2024
Article
Group of African American workers talking around a table
The growing income gap for Black workers

Natalie Gubbay | Research Associate, Institute

Lisa Camner McKay | Senior Writer, Institute
July 24, 2024
Article
Photo of four people sitting together in front of a blackboard
Institute update: Building research, building communityLisa Camner McKay | Senior Writer, Institute
April 15, 2024
Article
Illustration showing a 3 dimensional graph with people on the series
The many dimensions of income inequality

Natalie Gubbay | Research Associate, Institute

Lisa Camner McKay | Senior Writer, Institute
April 15, 2024
Article
Portrait photo of smiling man - Nathan Hendren
Reflection: Gold-standard data powers deeper understanding of incomes in AmericaNathaniel Hendren | Massachusetts Institute of Technology
April 15, 2024
Article
cropped graphic of bubble chart
The income/equality trade-off: Are richer states also more unequal?Lisa Camner McKay | Senior Writer, Institute

Natalie Gubbay | Research Associate, Institute

Nina Leo | Creative Director

April 15, 2024
Data
image of a chart transposed with a young Native American woman
Understanding and interpreting Native incomes in IDDA

Andrew Huff | Senior Policy and Legal Advisor, Center for Indian Country Development

H Trostle | Senior Policy Analyst, Center for Indian Country Development

Natalie Gubbay | Research Associate, Institute

Illenin O. Kondo | Principal Research Economist, Institute
November 13, 2023
Article
Collage with photo of Native American worker
The geographic divide in Native incomes and earnings

Natalie Gubbay | Research Associate, Institute

H Trostle | Senior Policy Analyst, Center for Indian Country Development
November 13, 2023
Article
Data chart transposed over a diverse group of people meeting
Introducing Income Distributions and Dynamics in America
Event on November 13, 2023
Event
Young people walking
The long shadow of the 2001 recessionKevin Rinz | Visiting Scholar, Institute
August 17, 2023
Article
Collage with photo of workers collaborating
The prosperity of high-earning foreign-born workers

Brandon Hawkins | University of California Davis

August 17, 2023
Article
Asian woman highlighted against background of other people
Income growth by race and ethnicity: The two-decade view from Minnesota

Natalie Gubbay | Research Associate, Institute

Kevin Rinz | Visiting Scholar, InstituteAbigail Wozniak | Vice President and Director, Opportunity & Inclusive Growth Institute
July 27, 2023
Article

Working Papers


Frequently Asked Questions

What makes the IDDA statistics unique?

The IDDA resource and dataset is a powerful set of income-related statistics that are derived from the combination of individual U.S. tax records over a 20-plus-year horizon. IDDA statistics summarize extensive data from restricted IRS and Census Bureau records to give a novel level of fidelity to income outcomes across demographic groups in the United States. This makes insights from administrative data broadly accessible in a way that they usually are not, including descriptions of the incomes of very high earners.

Read the full FAQ

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SUGGESTED CITATION

For academic and research reports, we recommend the following citation format:

Kondo, Illenin, Kevin Rinz, Brandon Hawkins, Natalie Gubbay, John Voorheis and Abigail Wozniak. (2023). “Granular Income Inequality and Mobility using IDDA.” U.S Census Bureau Center for Economic Studies Working Paper CES-23-55. Associated dataset: version 1.0. https://doi.org/10.21034/data.idda

For policy briefs or articles in the popular press, we recommend the following citation format:

Income Distributions and Dynamics in America, Federal Reserve Bank of Minneapolis, https://minneapolisfed.org/institute/income-distributions-and-dynamics-in-america


Disclaimer

The opinions and conclusions expressed here are those of the authors and should not be interpreted as reflecting the views of the U.S. Census Bureau. The Census Bureau has ensured appropriate access and use of confidential data and has reviewed these results for disclosure avoidance protection (Project 7511151; Disclosure Authorization Numbers CBDRB-FY23-0277, CBDRB-FY23-0373, CBDRB-FY23-CES014-019, and CBDRB-FY23-CES014-016).


CONTACT US

Please email us about your research using Income Distributions and Dynamics in America data for inclusion in the project bibliography. We also welcome your questions about the project. For media inquiries, please contact Alyssa Augustine.


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