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| Integrated Public Use Microdata Series (IPUMS) | |
|---|---|
| Name | Integrated Public Use Microdata Series |
| Abbreviation | IPUMS |
| Established | 1990s |
| Founder | Minnesota Population Center |
| Headquarters | University of Minnesota |
Integrated Public Use Microdata Series (IPUMS) is an international project that provides harmonized microdata for demographic and social research, originating at the Minnesota Population Center and drawing users from institutions such as Harvard University, University of Oxford, University of California, Berkeley, Massachusetts Institute of Technology, and London School of Economics. The project consolidates census and survey samples from agencies like the U.S. Census Bureau, Statistics Canada, Office for National Statistics (United Kingdom), Australian Bureau of Statistics, and INE (Chile), enabling comparative analyses used by scholars affiliated with Princeton University, Stanford University, Yale University, Columbia University, and University of Michigan.
IPUMS began as a harmonization effort at the Minnesota Population Center with leadership from scholars associated with University of Minnesota and advisors who had ties to National Science Foundation, National Institutes of Health, Rockefeller Foundation, and Social Science Research Council. Early collaborators included researchers from City University of New York, Brown University, Duke University, Cornell University, and University of Chicago. The project expanded through partnerships with agencies such as the U.S. Census Bureau and national statistical offices in Mexico, Brazil, Argentina, India, and China and through methodological exchanges with teams at Max Planck Institute for Demographic Research, Institut National d'Études Démographiques, and European Commission. Over time, funding and governance involved organizations like the Andrew W. Mellon Foundation, Ford Foundation, Wellcome Trust, and Gates Foundation, while advisory boards included members from American Sociological Association and International Union for the Scientific Study of Population.
The collection integrates microdata from decennial censuses and surveys produced by agencies such as the U.S. Census Bureau, Statistics Canada, Australian Bureau of Statistics, Statistics Netherlands, and INEGI, and from surveys like the Demographic and Health Surveys, European Social Survey, American Community Survey, Current Population Survey, and National Health Interview Survey. Data cover countries including United Kingdom, France, Germany, Japan, India, China, Brazil, Mexico, South Africa, and Nigeria, with temporal depth back to nineteenth-century collections like those from United Kingdom Census 1841 and United States Census 1850. Specialized collections link to historical projects tied to archives such as the National Archives (United Kingdom), Library of Congress, Smithsonian Institution, and Biblioteca Nacional de España.
Harmonization protocols follow standards comparable to those promoted by International Statistical Institute, United Nations Statistical Commission, Organisation for Economic Co-operation and Development, and methodological literature from researchers at University of California, Los Angeles and University College London. Methods include variable mapping, codeframe reconciliation, and documentation of comparability informed by work from scholars at Princeton University, Harvard University, Columbia University, and Yale University. The project documents changes in classification schemes such as occupation coding aligned with historical schemes used by International Labour Organization and sectoral classifications used by Eurostat, while employing concepts developed in studies by Robert Fogel, Simon Kuznets, W. Arthur Lewis, and Amartya Sen for long-run demographic and socioeconomic analysis.
Access protocols reflect legal agreements with providers like the U.S. Census Bureau and national statistical offices such as Statistics Canada and Office for National Statistics (United Kingdom), and abide by institutional review standards exemplified by Office for Human Research Protections and ethics committees at Harvard University and Stanford University. Data use requires registration consistent with practices from Inter-university Consortium for Political and Social Research, and sensitive data follow disclosure controls akin to those used by National Institutes of Health and European Data Protection Board. IPUMS-style access policies also mirror licensing and citation norms seen in repositories such as Zenodo, Dryad, and ICPSR.
Researchers from Harvard University, Stanford University, Princeton University, University of Chicago, and University of Michigan use the data to study trends in migration, fertility, mortality, labor markets, inequality, and urbanization, informing debates linked to works by Thomas Piketty, Angus Deaton, Daron Acemoglu, Esther Duflo, and Joseph Stiglitz. Studies employing the data have appeared in journals such as American Economic Review, Demography, Population Studies, Journal of Political Economy, and Science', influencing policymakers at institutions like the World Bank, International Monetary Fund, United Nations, European Commission, and OECD. The resource has enabled comparative projects with scholars at Max Planck Institute for Demographic Research, Institute for Fiscal Studies, Centre for Economic Policy Research, and National Bureau of Economic Research.
Technical architecture leverages database and cloud technologies similar to implementations at Amazon Web Services, Google Cloud Platform, and Microsoft Azure, and employs software tools and languages commonly used at Massachusetts Institute of Technology and University of California, Berkeley such as R, Python, Stata, SAS, and SQL. Web interfaces and APIs reflect design practices seen at GitHub, Kaggle, and Figshare, and documentation tools draw on standards from Wikidata, Project Gutenberg, and OpenAIRE. Version control and reproducibility approaches align with methods promoted by National Institutes of Health and National Science Foundation.
Collaborative partners include academic centers such as Minnesota Population Center, Harvard Center for Population and Development Studies, Oxford University Centre for the Environment, London School of Economics', and policy organizations such as the World Bank and United Nations Population Fund. Funding has come from agencies and foundations including the National Science Foundation, National Institutes of Health, Andrew W. Mellon Foundation, Gates Foundation, Ford Foundation, Rockefeller Foundation, and the European Research Council. The project’s governance engages advisory contributions from experts affiliated with American Economic Association, Royal Statistical Society, International Union for the Scientific Study of Population, and Population Association of America.
Category:Demographics