U.S. Census and American Community Survey microdata from 1850 to the present. Learn More about the IPUMS USA projectVisit Site
Current Population Survey microdata including basic monthly surveys and supplements from 1962 to the present. Learn More about the IPUMS CPS projectVisit Site
World's largest collection of census microdata covering over 100 countries, contemporary and historical. Learn More about the IPUMS International ProjectVisit Site
Tabular U.S. Census data and GIS boundary files from 1790 to the present. Learn More about the IPUMS NHGIS ProjectVisit Site
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 ProjectsVisit Site
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 ProjectsVisit Site
IPUMS PMA has launched a new blog aimed at introducing harmonized family planning data through step-by-step analysis examples written in R. Whether you’re looking for a place to dive into Performance Monitoring for Action data or a way to learn more about free and open-source data analysis tools, the PMA Data Analysis Hub is a great place to start!
You’ll find a new post every two weeks highlighting different tips for working with PMA data. Usually, we organize these posts in a series around a theme or a particular group of variables. For example, did you know that PMA collects data from both individuals and health service providers in the same geographic area? We’ve just completed our first series of posts showing how to use service provider data as context for the family planning outcomes experienced by individuals.
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DIFFERENTIAL PRIVACY PLANS
Census Bureau released differentially private 2010 demonstration dataLearn More about preserving usable ACS data products