WHID

World Housing Inequality Database

The World Housing Inequality Database (WHID) compiles standardized information on housing space and price distributions across countries and subnational administrative units.

The first edition of the WHID includes the United States, Spain, and Belgium. Future editions will include additional countries.

Data

Browse and analyze housing inequality data through interactive visualizations and summary statistics. All estimates are constructed using high-quality administrative data based on the universe of properties in a given country.

Click on a country to access its data repository.

Belgium

Spain

United States of America

Research & Media

Explore our latest research articles, reports, and media coverage on housing inequality.

Featured Research

Housing Inequality in the United States
Working Paper

Housing Inequality in the United States

We use county assessor and property deed records to construct, analyze, and disseminate contemporaneous and long-run estimates of housing inequality for the United States and its subnational levels. A dwelling in the top decile is eight times as valuable and four times as large as a dwelling in the bottom decile, and 12% of all housing assets are held by 1% of households...
Photo of Giovanni Paolo MarianiPhoto of Lei MaPhoto of Gerard Domènech-Arumí
Housing inequality in Spain
Working Paper

Housing inequality in Spain

We use data on the universe of real estate stock in Spain and recent transactions in Catalonia to construct novel contemporaneous and long-run estimates of housing inequality across all existing subnational levels. Housing inequality in Spain lies between Belgium and the United States...
Photo of Giovanni Paolo MarianiPhoto of Gerard Domènech-Arumí
Housing inequality in Belgium: Novel estimates and a policy application
Working Paper

Housing inequality in Belgium: Novel estimates and a policy application

We construct and make publicly available novel housing inequality estimates for Belgium using data on the universe of real estate. We use all recent (2006-22) transactions and machine learning to predict the value of all dwellings in Belgium and estimate housing value and space inequality across all existing administrative levels.
Photo of Paula GobbiPhoto of Gerard Domènech-Arumí

Media Coverage

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Authors

Meet the researchers and contributors behind the World Housing Inequality Database. See the profiles of the authors who collect, analyze, and curate the data, with their affiliations, brief bios, and links to publications and contact information.
Gerard Domènech-Arumí
Director and Founder
Gerard Domènech-Arumí

Gerard Domènech-Arumí is a Visiting Assistant Professor of Economics at Vanderbilt University and a Research Fellow at the Spanish Opportunity Lab. He holds a PhD in Economics from Boston University (2021). His work lies at the intersection of labor, public, and urban economics and has been published in leading journals, including the Review of Economics and Statistics and the Journal of Public Economics. His primary research agenda examines how where people live shapes who they are, with applications to the economics of crime, housing, inequality, and social preferences. He is also interested in housing inequality and the evaluation of public policies.

Giovanni Paolo Mariani
Co-Founder
Giovanni Paolo Mariani

Giovanni Paolo Mariani is a PhD Candidate in Economics at Université Libre de Bruxelles. He holds a MRes in Economics and Statistics from ECARES (2021) and an MSc Double Degree from LUISS University and the Solvay Brussels School of Economics and Management (2019). In his research he uses a combination of spatial and administrative data to study two dimensions of inequality: housing and consumption of public goods.

Lei Ma
Fellow
Lei Ma

Lei Ma is an Assistant Professor of Real Estate at the University of Georgia’s Terry College of Business. She holds a PhD in Economics from Boston University (2025). Her research examines how market forces and government policies shape distributional outcomes in housing for households and developers.

Acknowledgements

We are grateful for the support of the following institutions and organizations.

Fondation ULB

Fondation ULB

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