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Income Distributions and Dynamics in America: Data Center

Income Distributions and Dynamics in America is a joint research project between Census Bureau and Minneapolis Fed staff which seeks to foster new research and analysis on income disparities by providing statistics on income percentiles, shares, growth rates, persistence, and more for many U.S. demographic groups at national and state levels.

You can download the IDDA data from this page. Please refer to our guidelines below for citation format and for including your reports and papers in the IDDA bibliography.

Download the IDDA codebook and documentation.

Percentiles of income module

This file contains select percentiles of incomes by type of income, location, demographic group, and year.

Download full module: pctl_of_inc_all_data.csv

Download submodules by income type and geographic level:

Individual-level W-2 data for U.S.: pctl_of_inc_us_w2.csv (size: 0.8 MB)
Individual-level W-2 data for states: pctl_of_inc_state_w2.csv (size: 5.7 MB)
Address-level 1040 data for U.S.: pctl_of_inc_us_1040.csv (size: 0.6 MB)
Address-level 1040 data for states: pctl_of_inc_state_1040.csv (size: 3.3 MB)

Top income shares module

This file contains top income share within and across demographic groups by type of income, location, demographic group, and year.

Download full module: inc_share_all_data.csv

Download submodules by income type and geographic level:

Individual-level W-2 data for U.S.: inc_share_us_w2.csv (size: 7.1 MB)
Individual-level W-2 data for states: inc_share_state_w2.csv (size: 27.9 MB)
Address-level 1040 data for U.S.: inc_share_us_1040.csv (size: 4.9 MB)
Address-level 1040 data for states: inc_share_state_1040.csv (size: 16.9 MB)

Top income population shares module

This file contains the population share of top incomes within and across demographic groups by type of income, location, demographic group, and year.

Download full module: prop_share_all_data.csv

Download submodules by income type and geographic level:

Individual-level W-2 data for U.S.: prop_share_us_w2.csv (size: 3 MB)
Individual-level W-2 data for states: prop_share_state_w2.csv
Address-level 1040 data for U.S.: prop_share_us_1040.csv (size: 2.3 MB)
Address-level 1040 data for states: prop_share_state_1040.csv (size: 8.2 MB)

Income change distributions module

This file contains select percentiles of 1-year and 5-year income changes by type of income, base year income bin, location, demographic group, and year.

Download full module: inc_change_distributions_all_data.csv

Download submodules by income type, geographic level, and time horizon:

Individual-level W-2 data for U.S., 1-year horizon: inc_change_distributions_us_w2_1.csv (size: 10.6 MB)
Individual-level W-2 data for states, 1-year horizon: inc_change_distributions_state_w2_1.csv (size: 25.8 MB)
Address-level 1040 data for U.S., 1-year horizon: inc_change_distributions_us_1040_1.csv (size: 2.7 MB)
Address-level 1040 data for states, 1-year horizon: inc_change_distributions_state_1040_1.csv (size: 72.9 MB)
Individual-level W-2 data for U.S., 5-year horizon: inc_change_distributions_us_w2_5.csv (size: 7.6 MB)
Individual-level W-2 data for states, 5-year horizon: inc_change_distributions_state_w2_5.csv (size: 18.4 MB)
Address-level 1040 data for U.S., 5-year horizon: inc_change_distributions_us_1040_5.csv (size: 2.2 MB)
Address-level 1040 data for states, 5-year horizon: inc_change_distributions_state_1040_5.csv (size: 58.8 MB)

Income transition matrix module

This file contains conditional transition probabilities across income bins for 1-year and 5-year income changes by type of income, base year income bin, location, demographic group, and year.

Download full module: transition_matrix_all_data.csv

Download submodules by income type, geographic level, and time horizon:

Individual-level W-2 data for U.S., 1-year horizon: transition_matrix_us_w2_1.csv (size: 14 MB)
Individual-level W-2 data for states, 1-year horizon: transition_matrix_state_w2_1.csv (size: 23 MB)
Address-level 1040 data for U.S., 1-year horizon: transition_matrix_us_1040_1.csv (size: 2.8 MB)
Address-level 1040 data for states, 1-year horizon: transition_matrix_state_1040_1.csv (size: 64 MB)
Individual-level W-2 data for U.S., 5-year horizon: transition_matrix_us_w2_5.csv (size: 10 MB)
Individual-level W-2 data for states, 5-year horizon: transition_matrix_state_w2_5.csv (size: 17 MB)
Address-level 1040 data for U.S., 5-year horizon: transition_matrix_us_1040_5.csv (size: 2.3 MB)
Address-level 1040 data for states, 5-year horizon: transition_matrix_state_1040_5.csv (size: 52 MB)


IDDA Native areas statistics

Use the files below to download the five statistics modules for a combined geography that includes all Native areas defined by the U.S. Census Bureau, delineated as of 2017. For detailed information about the construction of IDDA Native areas statistics, please download the Native areas technical documentation and codebook.

Download the modules:

Percentiles of income module: na_pctl_of_inc_all_data.csv (size: 0.3 MB)
Top income shares module: na_inc_share_all_data.csv (size: 0.9 MB)
Top income population shares module: na_prop_share_all_data (size: 0.4 MB)
Income change distributions module: na_inc_change_distributions_all_data.csv (size: 2.2 MB)
Income transition matrix module: na_transition_matrix_all_data.csv (size: 3.3 MB)


Publications, working papers, and other research using IDDA data and resources

Please email us at mplsinstitute@mpls.frb.org about your work using IDDA data for inclusion in the IDDA project bibliography.

Standard citation

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

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).