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This page contains technical documentation and related information on the Current Population Survey (CPS).
Additional information about the CPS, including documentation for survey microdata, is available from the Census Bureau
In addition to the documentation listed below, comparability is affected by updates to population controls, changes in occupational and industry classification, and other changes to the survey.
BLS has two monthly surveys that measure employment levels and trends:
See Comparing employment from the BLS household and payroll surveys for information on the differences in the two employment measures, as well as trend divergences that sometimes occur.
Description of how the national unemployment statistics are developed from the Current Population Survey (CPS), written in non-technical language.
BLS publishes both employment and unemployment data by occupation and industry from the CPS.
The occupational classification reflects the type of job or work that the person does, while the industry classification reflects the business activity of their employer or company. The occupational and industry classifications are based on a person's sole or primary job, unless otherwise specified. For the unemployed, the occupation and industry are based on the last job held.
Beginning with data for January 2020, the CPS adopted the 2018 Census occupational classification. Starting January 2025, the survey transitioned to the 2022 Census industry classification. These classifications are derived from the 2018 Standard Occupational Classification (SOC) and the 2022 North American Industry Classification System (NAICS), respectively. They are tailored to meet the unique classification needs of demographic household surveys. While the Census classifications follow the same basic structure as the SOC and NAICS, they are generally less detailed.
More information about the Census occupational and industry classifications is available from the Census Bureau, including indexes showing where specific jobs and industries are classified.
Learn more about the historical comparability of occupation and industry data from the CPS.
BLS has provided updated experimental series that account for January 2026 population control effects.
Population controls are independent estimates of population used to weight the CPS sample results to reflect the civilian noninstitutional population age 16 and older.
The U.S. Census Bureau develops the CPS population controls. They are based on the latest decennial census population count, supplemented with birth and death data and estimates of net international migration. The population estimation methodology is available on the Census Bureau's website.
The Census Bureau adjusts the CPS population controls each year to include the latest information about population change and to incorporate any improvements in the estimation methodology. Following a decennial census, a new population base is introduced along with the adjustments.
BLS incorporates the annual population control adjustments into the CPS estimates with data for January.
The adjustments may increase or decrease the population level, depending on whether the latest information indicates the population estimates had trended high or low. Conceptually, the effects of the annual population control adjustments represent cumulative over- or under-estimation of the population since the last decennial census point.
See Adjustments to Household Survey Population Estimates for a description of the latest population control adjustments to the CPS, and a supplemental table with the latest adjustment effects.
Visit the experimental series accounting for January 2026 population control effects page to find data and learn more about the series, including their methodology and limitations. These experimental series replace experimental series from the previous year.
Information about the survey collection process, including the questionnaire, is available from the Census Bureau, which conducts the CPS.
Statistics from the CPS are subject to both sampling and nonsampling error. When a sample rather than the entire population is surveyed, there is a chance that the sample estimates may differ from the "true" population values they represent. The exact difference, or sampling error, varies depending on the particular sample selected, and this variability is measured by the standard error of the estimate.
Browse recent BLS analyses of CPS data by topic: unemployment, labor force characteristics, earnings, and demographic characteristics.
Research series on earnings of nonhourly full-time workers
Survey methods research:
Labor force levels, employment, unemployment, and other labor market measures sharply fluctuate over the course of a year due to seasonal events such as weather, major holidays, and the opening and closing of schools. Seasonal adjustment is a statistical procedure used to remove seasonal fluctuations from data series, making it easier to observe cyclical and other economic trends. BLS produces a wide range of seasonally adjusted labor market measures from the CPS.
Current procedures for seasonally adjusting CPS data are described in the article Seasonal Adjustment Methodology for National Labor Force Statistics from the Current Population Survey.
At the end of each calendar year, the Bureau of Labor Statistics (BLS) reestimates the seasonal factors for the CPS series by including another full year of data in the estimation process. Following this annual reestimation, BLS revises the historical seasonally adjusted data for the previous 5 years.
The most recent revisions to seasonally adjusted CPS series are described in Revisions to seasonally adjusted national household survey labor force series.
Latest article: Revisions to seasonally adjusted national household survey labor force series
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Last Modified Date: April 10, 2026