Going Global: IPUMS International

By Diana Magnuson

Display case with a banner "Going Global: IPUMS International" and memorabilia from around the world
The display case at IPUMS HQ

A new exhibit, “Going Global: IPUMS International,” is now on display at IPUMS headquarters, housed at the University of Minnesota. The exhibit features pieces that tell the history and scope of IPUMS International.

Beginning in 1999 with a social science infrastructure grant from the National Science Foundation, IPUMS International had a simple yet audaciously ambitious goal: preserve the world’s microdata resources and democratize access to those resources. Twenty-four years later, the goals are: collecting and preserving census and survey data and documentation; harmonizing those data; and disseminating the harmonized data free of charge. The data series includes information on an impressive range of population characteristics, including fertility, nuptiality, life-course transitions, migration, labor-force participation, occupational structure, education, ethnicity, and household composition.

Dr. Bob McCaa standing behind a table with stacks of paper
Dr. Bob McCaa

Source data for IPUMS International are generously provided by participating national statistical offices. Our staff develop and nurture relationships with representatives of NSOs from around the world. As IPUMS International got underway, co-principal investigator Dr. Bob McCaa, University of Minnesota Department of History, “proved to have formidable persuasive powers and managed to convince . . . agency directors of the benefits of preservation and access to scientific information.” Over time, IPUMS International developed a team of research scientists articulating to a broad international audience the significance of the IPUMS data collection, harmonization, and preservation work. Today, an NSF advisory committee, senior personnel including research scientists and data analysts, an external advisory panel, and graduate and undergraduate research assistants all support the work of IPUMS International.

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Preparing Time Diary Data to Create Tempograms and to Conduct Sequence Analysis

By Sarah Flood and Kamila Kolpashnikova

Time diary data: a unique opportunity

Time diary data offer researchers an opportunity to visualize daily life in a way that just isn’t possible with other data and demonstrating how people spend time. Respondents report every activity that they engage in (along with where and who they were with) over the course of the day, which means that time diaries can indicate how much time was spent in various activities as well as when activities occur during the day (e.g., timing) and the order in which they occur (i.e., sequencing) . This blog post will describe how to transform IPUMS ATUS data to perform these types of analyses, illustrate how to create a tempogram (including sample code), and link to additional resources for creating tempograms and performing sequence analysis.

While there are several ways to leverage the unique properties of time diary data, analysts are increasingly interested in creating tempograms and conducting sequence analyses, both of which capitalize on the temporal specificity of time diary data. These techniques allow researchers to explore the timing and order of activities over the course of a day. Both creating tempograms and conducting sequence analysis require time units that are consistent across respondents. Most time diary data are not natively in this format.

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IPUMS FAQ: Alternative Measures of Unemployment

By Matthew Bombyk

As part of the IPUMS mission to democratize data, our User Support team strives to answer your questions about the data. Over time, some questions are repeated. This blog post is an extension of an earlier series addressing frequently asked questions. Maybe you’ll learn something. Perhaps you’ll just find the information interesting. Regardless, we hope you enjoy it!

Here’s one of those questions:

How can I use IPUMS CPS to calculate the Alternative Measures of Unemployment published by the BLS?

Every month the Bureau of Labor Statistics (BLS) publishes a set of Alternative Measures of Labor Underutilization as part of its well-known Employment Situation News Release. A common question we are asked at IPUMS is how to calculate these rates using IPUMS CPS data. The “headline” unemployment figure is known as U-3 and is a straightforward calculation using only the main employment status variable, EMPSTAT. However, the other measures are not quite as simple. Nonetheless, these can be calculated using IPUMS CPS! Using the table below, you can calculate these rates using the public use microdata.

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