Use It for Good – News and information from IPUMS

Adjust Monetary Values for IPUMS CPS

April 1, 2026April 1, 2026 by mpcblog

By Kari Williams with support from former IPUMS research staff member Danika Brockman

We love to extend useful functionality across multiple IPUMS data collections, so we were delighted to extend the the Adjust Monetary Values (AMV) feature, which adjusts dollar values for inflation and was first developed for IPUMS USA, to IPUMS CPS. The initial release of the AMV feature in IPUMS CPS in 2023 provided adjustment for a limited number of variables. Late last year, we extended the feature to cover variables from the ASEC as well. This blog post provides a quick introduction to the AMV tool and step-by-step guidance for using the tool in IPUMS CPS – for full details on the feature, see our IPUMS working paper on the AMV feature.

The Basics

The AMV feature allows users to adjust the monetary variables in a customized dataset from IPUMS into constant dollars, so that all monetary variables for months and years of data in your downloaded data file are in comparable units. IPUMS CPS variables are adjusted to 2010 dollars using the Consumer Price Index for All Urban Consumers (CPI-U). When you add an inflation-adjusted version of a variable to your data extract, the IPUMS data access system applies the appropriate CPI-U adjustment factor for each year to the variable(s) you’ve selected and includes both the original variable and an inflation-adjusted version of that variable in your extract. The adjustment factor is only applied to codes that represent monetary values in the original variable. All missing data codes (e.g., NIU, “Refused”, “Don’t Know”, and “No response”) from the original variable are combined into a single NIU code consisting entirely of 9s in the adjusted version of the variable (which is two digits wider than the original variable).

Note that IPUMS only adjusts monetary variables for years with a final published CPI-U. Final CPI-U values for a given year are typically published early in the next year (e.g., the 2025 CPI-U values are published in 2026). Notably for basic monthly CPS data, current year samples will not be available for adjustment because the final CPI-U will not be published. However, the reference period for the ASEC is the previous calendar year (e.g., 2024 is the reference year for the 2025 ASEC); the adjustment factor for the reference year has been published by the time Census Bureau releases the ASEC data each September and we integrate them into IPUMS CPS. One quick way to check whether the CPI-U value has been published for a given year is to consult the IPUMS CPS CPI99 documentation. We also update the IPUMS CPS revision history to note when we have extended the AMV tool to cover an additional year of data. Any adjusted variables in your extract for samples that are not yet available for monetary adjustment will consist entirely of the adjusted variable NIU code (i.e., a string of 9s).

Linking children and adolescents to their mothers using IPUMS MICS

March 20, 2026 by mpcblog

By Anna Bolgrien

IPUMS MICS offers hundreds of harmonized variables related to children’s health and wellbeing that allow for rich and innovative research. From the IPUMS MICS website, users can browse variables and create custom data extracts within a selected unit of analysis. In order to conduct many analyses, however, users will want to combine and link datasets relating to different units of analysis available in MICS.

For example, to investigate how child characteristics are related to characteristics of their mother, users will need to download and link data between the Children (either 0-4 or 5-17) unit of analysis and the Women unit of analysis.

IPUMS MICS provides instructions for linking across units of analysis as a user note. This user note lists the variables available as linking keys for each unit of analysis, and is a general guide for linking across the units, such as linking household characteristics with individual person records.

In this blog post, we provide more detailed information on how to link children and adolescents to their mothers. Similar logic can be applied to link children to fathers or other caregivers in the household. As IPUMS MICS requires Stata to conduct harmonization, we provide example code in Stata syntax.

New Tool! ATUS-CPS Linking Counts

February 11, 2026 by mpcblog

By Sarah Flood

The team at IPUMS is excited to introduce something brand new! ATUS-CPS Linking Counts is an interactive tool for exploring the number of ATUS respondents who can be linked to specific CPS months. We know that linkages between ATUS and CPS have great potential for enabling exciting new research, but we also know firsthand how hard it can be to wrap your head around the panel component of the CPS, the relationship between ATUS and CPS, and the many possibilities for linking them. Even researchers who have deep knowledge of the ATUS and CPS may still wonder whether there is a sufficient number of cases to conduct an analysis of interest. This new tool helps address all of these challenges. It very quickly allows you to view the number of ATUS respondents who should appear in each CPS month and determine if there is sufficient sample size for a particular application of linked ATUS-CPS data.

Linking ATUS and CPS data enables an incredible wealth of research questions. This tool allows users to specify and view different linking scenarios to assess the feasibility of various ATUS to CPS linkages. For example, you may want to investigate the relationship between food security in the CPS with shopping or eating-related behavior in the ATUS. This interactive tool would allow you to select only years of ATUS data that contain, for example, the Eating and Health module and view the CPS months in which the Food Security supplement was fielded to assess the sample sizes for your desired analysis. Figure 1 shows how you would select ATUS years of interest and find information about which ATUS modules were fielded in each year.

Figure 1. Selecting ATUS Years of Interest

New Variables! IPUMS International Fall 2025 Data Release

January 27, 2026 by mpcblog

By Rodrigo Lovaton Davila

IPUMS International recently added twenty-one new harmonized variables that expand the thematic coverage of the data collection and enable new possibilities for research. Most notably, the data release introduces harmonized variables representing sample level information, including selected characteristics of the statistical operation and the sampling design (accessible in technical household). This information was previously available in the sample descriptions section, but is now also accessible through variables that can be included in data extracts. Read on for more details on these new sample-level variables and a few new work and household amenity variables!

New variables about the statistical operation describe whether the data correspond to a census or a survey; whether enumeration was de jure or de facto; the type of form received by respondents in the sample; and the month of data collection. The IPUMS International data collection currently includes 395 census samples, 233 labor force surveys, and 27 population surveys.

FORMTYPE allows users to identify whether the data for each sample consist of responses to a single, standard questionnaire applied to the entire population; responses to a short or long form, in a census that gathered more information from a sample of the population; or records derived from administrative registers (with no questionnaire used in data collection.) Most datasets in the collection correspond to one standard questionnaire (79% of 395 census samples). For censuses where a short and a long form were applied, the samples in IPUMS typically correspond to the long questionnaire (78% of 78 samples), which includes additional questions and is richer for research purposes.

ENUMTYPE indicates whether the enumeration was de jure or de facto, an important distinction for understanding how the population was counted in the census operation. Some censuses enumerate combining both de jure (usual residents) and de facto (those present on the census reference date whether resident or visitor), which is reflected in this new variable. Importantly, users can work with the existing variable RESIDENT to eliminate double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. ENUMMO complements the variable YEAR to provide a more accurate indicator of the timing of data collection.

A Missing Piece: The 2025 U.S. Government Shutdown and the Current Population Survey

December 22, 2025December 22, 2025 by mpcblog

By Renae Rodgers

Current Population Survey (CPS) data collection and processing were among the many U.S. government programs and services interrupted by the October 1-November 12, 2025 U.S. government shutdown. This blog post gives an overview of the impacts of the 2025 government shutdown on CPS data collection and processing, explores how missed data collection in October and delayed data collection in November due to the shutdown impacted CPS response rates, and discusses implications for the CPS panel component.

Data Collection and Processing

The Current Population Survey is one of two surveys used to create the Employment Situation News Release published every month by the Bureau of Labor Statistics (BLS); the CPS is commonly referred to as the “household survey” in these releases. Each month they are in the CPS, household respondents are asked questions on work and job search activities for members of their households during the week that includes the 12th of the month – this is known as the “reference week” (Bureau of Labor Statistics, 2025a). CPS households are interviewed during the week immediately following the reference week – the week that contains the 19th. Data collection lasts for approximately 10 days. During November and December, reference weeks and subsequent data collection may be moved one week earlier if necessary to avoid coinciding with holiday periods. The Employment Situation news releases are typically published the first Friday of the month following data collection (e.g., the August Employment Situation news release is the first Friday of September) and the Public Use Microdata files are typically published the Wednesday following the Employment Situation news release.

The 2025 government shutdown impacted data release, collection, and processing in unique ways. Figure 1 shows the CPS reference weeks for September through December of 2025, the CPS interview weeks for this same period, and the days on which the federal government was shut down.

Historical Supplemental Poverty Measure

December 19, 2025December 18, 2025 by mpcblog

By Stephanie Richards, Kari Williams, and Sarah Flood

The Annual Social and Economic Supplement (ASEC) of the Current Population Survey is the official source of information about poverty in the United States. Since 1968, the ASEC has been used to create the Official Poverty Measure (OPM) and has included the variables needed to create that measure. The Supplemental Poverty Measure (SPM) and the variables needed to create it were first released by the Census Bureau in 2010, reporting the SPM for 2009¹. In contrast to the OPM, the SPM provides a more complete picture of the economic wellbeing of American households.

The value of the SPM is apparent – it is a comprehensive and nuanced measure that accounts for the diversity of living arrangements, variability in cost of living, and a wider array of available financial resources and demands. However, the temporal coverage of SPM is limited; the Census Bureau only has data back to 2010. Over the last ten years, researchers at Columbia University’s Center on Poverty and Social Policy (CPSP) have eliminated this constraint by compiling the data necessary to create SPM and make it available back to 1968, and have shared the data with the research community via the CPSP Historical SPM Data Portal.

CPSP researchers have also partnered with IPUMS to disseminate their historical SPM data via IPUMS CPS. This includes the poverty status variables (i.e., SPMPOV and SPMPOVANC12) as well as the inputs and thresholds for creating them. If you know IPUMS, you know that we loooooove the chance to extend a valuable measure back in time. We are incredibly grateful to CPSP for the important work they have done and are thrilled to make it even easier for IPUMS CPS users to access the historical SPM data.

In this blog post, we briefly describe differences between the components – family, resources, and needs – used to create OPM and (historical) SPM, preview CPSP’s “anchored” poverty variables that facilitate comparisons over time that reference a set cost-of-living standard, and share suggestions for further reading (because we know you are going to want to learn even more about this!).

Multigenerational Households Across Multiple Data Collections

December 2, 2025 by mpcblog

By Etienne Breton

We recently updated a key IPUMS-constructed variable for understanding multigenerational households: MULTGEN, which identifies the number of generations in a household. This variable is needed to answer important questions in our era of rapid population aging. For example, do multigenerational households become more numerous during economic recessions, and if so for whom exactly? Can they buffer against physical and cognitive decline for older adults? Do young people living with their grandparents have distinct educational, professional or even health trajectories? All of these questions – and many more – can be investigated creatively and rigorously using MULTGEN.

MULTGEN has long been available for most IPUMS USA samples. We recently adapted our methodology to add this variable to IPUMS CPS for all samples from January 1994 to the present. This means that users can now research multigenerational households with another IPUMS data collection, tackling key research questions with added precision and contextual richness, in addition to analysis of topics in the CPS that are not covered in the ACS (e.g., tobacco use, volunteering, voting and registration).

The construction of MULTGEN in IPUMS CPS (as in IPUMS USA) relies on IPUMS family interrelationship variables (see this classic paper, or this more recent paper, or our user guide, for how these variables are constructed) and information from the variable RELATE (insufficient information in the RELATE variable before 1994 explains why MULTGEN is not available for older samples). At present, MULTGEN in IPUMS CPS only provides general codes about the number of generations per household, whereas MULTGEN in IPUMS USA also provides detailed codes identifying subtypes of 2-generations and 3+ generations households.