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

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World's largest collection of census microdata covering over 100 countries, contemporary and historical. Learn More about the IPUMS International Project

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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

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Tabular U.S. Census data and GIS boundary files from 1790 to the present. Learn More about the IPUMS NHGIS Project

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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.

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Historical and contemporary time use data from 1930 to the present. Learn More about the IPUMS Time Use Projects

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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

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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

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PMA Data Analysis Hub

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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