GEOWEALTH-US: Spatial wealth inequality data for the United States, 1960-2020
Principal Investigator(s): View help for Principal Investigator(s) Joel Suss, London School of Economics; Dylan Connor, Arizona State University; Tom Kemeny, University of Toronto
Version: View help for Version V4
Name | File Type | Size | Last Modified |
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GEOWEALTH_codebook.pdf | application/pdf | 402.7 KB | 02/09/2024 07:27:AM |
cz_wealth_inequality.csv | text/csv | 1.3 MB | 02/22/2024 03:07:AM |
division_wealth_inequality.csv | text/csv | 17.1 KB | 02/22/2024 12:07:AM |
metarea_wealth_inequality.csv | text/csv | 427.2 KB | 02/22/2024 12:07:AM |
puma_wealth_inequality.csv | text/csv | 3.1 MB | 02/22/2024 12:08:AM |
state_wealth_inequality.csv | text/csv | 91.3 KB | 02/22/2024 03:04:AM |
Project Citation:
Suss, Joel, Connor, Dylan, and Kemeny, Tom. GEOWEALTH-US: Spatial wealth inequality data for the United States, 1960-2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-02-22. https://doi.org/10.3886/E192306V4
Project Description
Summary:
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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-US") 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-US 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.
Scope of Project
Time Period(s):
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1960 – 2020
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