IPUMS USA is now disseminating complete count data from 1850-1940, not including 1890. Hooray! But, but, but…you might ask…what happened to the 1890 Census?
We’re glad you asked.
Posts related to IPUMS USA
IPUMS USA is now disseminating complete count data from 1850-1940, not including 1890. Hooray! But, but, but…you might ask…what happened to the 1890 Census?
We’re glad you asked.
“What’s in a name? That which we call a COUNTYFIPS by any other name would still be accurate” ~ Steve Shakespeare (the lesser known, quantitative Shakespeare).
Couldn’t have said it better myself. Though, when you are sharing your variable names with tens of thousands of researchers who really just want their analysis to work you may want to be cautious about changing variable names. This is exactly the reason our (now re-named) COUNTY variable held onto that moniker for so long. And when you do change variable names you better try your hardest to let everyone know, so let’s start with that part.

In collaboration with our partners at Ancestry.com, the Minnesota Population Center has released new historical census data through IPUMS-USA. Full count data for 1790-1840 is available via IPUMS-USA as household-level and county-level datasets* for each decennial census year and for the combined years, 1790-1840.

The team at IPUMS-USA is excited to announce the release of the 2015 American Community Survey (ACS) microdata file. IPUMS USA now contains 16 years of yearly ACS microdata for analysis. For researchers, ACS data is the most frequently used IPUMS data.

An enormous amount of information about the characteristics and activities of ordinary people is just waiting to make its debut for researchers to analyze — two billion people and their households, spanning over 100 countries, from 1703 to the present day. All these data will be available for computer analysis by the general public, for free, by 2018.

The Minnesota Population Center (MPC) is excited to announce the winners of its annual IPUMS Research Awards. The awards honor the best published research and best self-nominated graduate student papers of 2015 that used MPC data to advance or deepen our understanding of social and demographic processes.

Family-member characteristics are often related to individual outcomes. The IPUMS data extract system makes it easy for you to include in your datasets variables that describe other household members, such as age of mother, occupation of father, or educational attainment of spouse.