Name File Type Size Last Modified
GEOWEALTH_codebook.pdf application/pdf 404.8 KB 06/23/2023 01:01:PM
cz_wealth_inequality.csv text/csv 1.1 MB 06/23/2023 12:57:PM
division_wealth_inequality.csv text/csv 17.7 KB 06/21/2023 11:03:PM
metarea_wealth_inequality.csv text/csv 281.4 KB 06/21/2023 11:03:PM
puma_wealth_inequality.csv text/csv 1.9 MB 06/21/2023 11:03:PM
state_wealth_inequality.csv text/csv 82.8 KB 06/21/2023 11:03:PM

Project Citation: 

Suss, Joel, Connor, Dylan, and Kemeny, Tom. GEOWEALTH. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-06-26. https://doi.org/10.3886/E192306V1

Project Description

Summary:  View help for Summary Wealth inequality has been sharply rising in the United States and across many other high-income countries. Due to a lack of data, we know little about how this trend has unfolded across locations within countries. Investigating this subnational geography of wealth is crucial, as from one generation to the next, wealth powerfully shapes opportunity and disadvantage across individuals and communities. Using machine-learning-based imputation to link newly assembled national historical surveys conducted by the U.S. Federal Reserve to population survey microdata, the data presented in this paper addresses this gap. The Geographic Wealth Inequality Database ("GEOWEALTH") provides the first estimates of the level and distribution of wealth at various geographical scales within the United States from 1960 to 2020. The GEOWEALTH database enables new lines investigation into the contribution of inter-regional wealth patterns to major societal challenges including wealth concentration, spatial income inequality, equality of opportunity, housing unaffordability, and political polarization.



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