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GEOWEALTH-US: spatial wealth inequality data for the United States, 1960–2020

Suss, Joel, Kemeny, Tom and Connor, Dylan S. (2024) GEOWEALTH-US: spatial wealth inequality data for the United States, 1960–2020. Scientific Data, 11. ISSN 2052-4463

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Identification Number: 10.1038/s41597-024-03059-9

Abstract

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. Examining the subnational geography of wealth is crucial because, from one generation to the next, it shapes the distribution of opportunity, disadvantage, and power across individuals and communities. By employing machine-learning-based imputation to link national historical surveys conducted by the U.S. Federal Reserve to population survey microdata, the data presented in this article 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 of investigation into the contribution of spatial wealth disparities to major societal challenges including wealth concentration, income inequality, social mobility, housing unaffordability, and political polarization.

Item Type: Article
Official URL: https://www.nature.com/sdata/
Additional Information: © 2024 The Author(s)
Divisions: Methodology
International Inequalities Institute
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > H Social Sciences (General)
JEL classification: D - Microeconomics > D6 - Welfare Economics > D60 - General
D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions
E - Macroeconomics and Monetary Economics > E0 - General > E01 - Measurement and Data on National Income and Product Accounts and Wealth
Date Deposited: 14 Mar 2024 14:21
Last Modified: 11 Oct 2024 00:51
URI: http://eprints.lse.ac.uk/id/eprint/122377

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