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  2. Opportunity & Inclusive Growth Institute

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.

Explore the visualization tool

Data Center

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Download the data and access technical documentation explaining the statistics in the datasets.

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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.

A collage of data charts and a group of people
Article
Understanding incomes in America: The story behind the resource
Read more
Data chart transposed over a diverse group of people meeting
Featured Event
Introducing Income Distributions and Dynamics in America
Event on November 13, 2023
A virtual event with the team developing a new resource to analyze income fluctuations, income mobility, and income differences within and across groups in the United States.
Watch the recording

Articles

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
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 America
Nathaniel Hendren | Massachusetts Institute of Technology
April 15, 2024
Article
Photo of four people sitting together in front of a blackboard
Institute update: Building research, building community
Lisa Camner McKay | Senior Writer, Institute
April 15, 2024
Article
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 | Senior 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
Collage with photo of workers collaborating
The prosperity of high-earning foreign-born workers
Brandon Hawkins | Research Assistant, Institute
August 17, 2023
Article
Young people walking
The long shadow of the 2001 recession
Kevin Rinz | Visiting Scholar, Institute
August 17, 2023
Article
Image with graphs on a blue background on the left with a photo of ethnically diverse women on the right
Inclusive recessions, inclusive recoveries?
Natalie Gubbay | Research Associate, Institute Andrew Goodman-Bacon | Senior Research Economist, Institute Abigail Wozniak | Vice President and Director, Opportunity & Inclusive Growth Institute
July 27, 2023
Article

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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