We are excited to be meeting people at the European Population Conference in Bologna, Italy! Stop by and say hi if you are attending.
Check out the latest news from IPUMS, including new data on families, watersheds, food security, and more! https://mailchi.mp/umn/ipums-05-21-26
The Census Bureau's Geography Division GeoForum starts today! We are excited to learn and participate this year. Our very own Jonathan Schroeder will be presenting as part of a session on Accessing Census Data on 5/20 from 2-5pm ET. https://bit.ly/3PLNgjs
We are exhibiting at the @healthjournalism.org Health Journalism Conference, being held in Minneapolis this week. Stop by our exhibit table to learn more about health data available from IPUMS! https://bit.ly/4dzX9Kh
We are at #ASHEcon2026 (American Society of Health Economists)! Come and visit our booth and chat with us.
IPUMS DHS now includes integrated variables for 84 counties (up from 51) and nearly 350 samples (up from 233), including new data from Latin America, Eastern Europe, Oceania, the Caribbean, and Central and East Asia. Learn more about this recent data release on the IPUMS blog: https://bit.ly/4nDtJ1b
Last chance to register for "Global Health in Context: Linking Census Data to Health Surveys using IPUMS DHS and IHGIS". The webinar will begin today at 10am CT. https://z.umn.edu/DHS-IHGIS-Webinar
Twin Cities Research Group thanks Jonathan Schroeder @ipums.bsky.social for his presentation one week ago: IPUMS USA and NHGIS: Geographic Census Data Resources.
If you'd like to revisit this presentation, an archived recording is here: metrocouncil.webex.com/metrocouncil...
📍IPUMS CPS can now identify the county of residence for approximately 5.5 million additional households each year. This improvement stems from the identification of 19 additional counties in highly populated metropolitan areas across BMS and ASEC samples
Read our latest blog post from IHGIS! To address a gap in OCR accuracy, IHGIS developed an R package that identifies logical relationships in tables, determines where cells don’t add up as expected, and replaces the incorrectly recognized cell with the correct value. https://bit.ly/3PHJY0K