U.S. Census and American Community Survey microdata from 1850 to the present. Learn More about the IPUMS USA project
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Current Population Survey microdata including basic monthly surveys and supplements from 1962 to the present. Learn More about the IPUMS CPS project
World's largest collection of census microdata covering over 100 countries, contemporary and historical. Learn More about the IPUMS International Project
Health survey data for Africa and Asia, including harmonized data collections for Visit the IPUMS DHS site and Visit the PMA site. Learn More about the IPUMS Global Health Projects
Tabular U.S. Census data and GIS boundary files from 1790 to the present. Learn More about the IPUMS NHGIS Project
Tabular and GIS data from population, housing, and agricultural censuses around the world. Learn More about the IPUMS IHGIS Project
Find additional spatial population & environmental data in IPUMS Terra.
Historical and contemporary time use data from 1930 to the present. Learn More about the IPUMS Time Use Projects
Historical and contemporary U.S. health survey data from Visit the IPUMS NHIS site (1963-present) and Visit the IPUMS MEPS site (1996-present). Learn More about the IPUMS Health Surveys Projects
Survey data on the science and engineering workforce in the U.S. from 1993 to the present. Learn More about the IPUMS Higher Ed Project
An ongoing goal and challenge for IPUMS-International (IPUMSI) is providing users with the most detailed geography possible. A unique obstacle to this is the confidentiality requirements agreed upon in order to distribute these census and survey samples. Nevertheless, IPUMSI has started launching lower-level geographic variables in samples where data is sufficient and confidentiality thresholds are still met. As of spring 2022, twenty samples have been released with third administrative level geographic data, covering ten countries across Africa and Asia. In addition, accompanying shapefiles are also being distributed to supplement these variables. Shapefiles can be used in conjunction with these more granular geographic variables to map out population trends in greater detail.