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The LAUS program provides monthly and annual-average estimates of civilian labor force, employed people, unemployed people, and unemployment rates for over 7,500 unique subnational areas. The areas include census regions and divisions, states, metropolitan areas, metropolitan divisions, micropolitan areas, combined areas, small labor market areas, counties and county equivalents, cities with populations of 25,000 and over, and cities and towns in New England regardless of population. These data constitute the LA series in LABSTAT, the time-series database of the Bureau of Labor Statistics. For a more detailed description of the LAUS areas, see Geographic Concepts.
The LAUS monthly series start in January 1976 for census regions and divisions, all states, the District of Columbia, Puerto Rico, the Los Angeles-Long Beach-Glendale Metropolitan Division, and New York city. Series for most substate areas begin in January 1990. The most notable exceptions are cities that crossed the 25,000-population threshold for inclusion in the LAUS program after 2000 or 2010. These generally were carried back to their decennial base year (i.e., 2000 or 2010) at the time that they were added.
The concepts and definitions used by the LAUS program are the same as those used in the Current Population Survey for the national labor force data:
See Concepts and Definitions for additional information.
The American Community Survey (ACS) produces information on social, housing, and economic characteristics—including labor force status—for demographic groups in local areas. One-year estimates for local areas with populations of 65,000 or more are published about nine months following the reference year.
The LAUS program produces the official monthly estimates of labor force and unemployment for subnational areas. LAUS estimates are consistent with and controlled to the official labor force and unemployment measures for the U.S. from the Current Population Survey. LAUS statewide estimates are published about 3 weeks following the reference month, while LAUS substate data are published about 4–5 weeks following the reference month.
For more information on the ACS and how its data compare to LAUS data, see American Community Survey (ACS) Questions and Answers.
Metropolitan areas and micropolitan areas are Core Based Statistical Areas (CBSAs) maintained by the Office of Management and Budget (OMB) to provide nationally consistent delineations for collecting, tabulating, and publishing federal statistics for a set of geographic areas. A CBSA is a geographic entity associated with at least one urban area core of 10,000 or more population, plus adjacent territory that has a high degree of social and economic integration with the core as measured by commuting ties. Metropolitan areas have urban area cores of at least 50,000 population, while micropolitan areas have cores of between 10,000 and 49,999 population.
Updates to the standards for delineating areas occur each decade following the census. For the standards used by OMB to revise areas following the 2010 Census, see the Federal Register notice dated June 28, 2010. The updated areas based on the application of these standards to population data from the 2010 Census and commutation data from the American Community Survey first were issued on February 28, 2013, through OMB Bulletin No. 13-01.
For more information on the statistical areas maintained by OMB, see Federal Statistical Area Delineations.
A general definition for a labor market area is an economically integrated area within which individuals can reside and find employment within a reasonable distance or can readily change jobs without changing their place of residence. LMAs include both the metropolitan and micropolitan areas defined by the Office of Management and Budget and the small labor market areas maintained by the Bureau of Labor Statistics. The criteria used to delineate small labor market areas are available at www.bls.gov/lau/laugeo.htm#geolma. For the compositions of individual LMAs (metropolitan, micropolitan, and small LMAs, plus metropolitan divisions), refer to the labor market area list.
The State Employment and Unemployment news release generally is issued on the third Friday of the month following the reference month. The Metropolitan Area Employment and Unemployment news release generally is issued 12 days later. Data for all substate areas also are published in the time series database at the time of the metropolitan area news release. Current-year schedules for these news releases are maintained on the website at www.bls.gov/schedule/news_release/laus.htm (state) and www.bls.gov/schedule/news_release/metro.htm (metropolitan area).
The timing of data availability is controlled by the length of time required to produce and validate estimates. Data for the nation, which come directly from the Current Population Survey, are available earliest; data for census regions and divisions and states are available next, generally about two weeks later; data for metropolitan areas and divisions, micropolitan areas, combined areas, counties, cities, and New England towns are available after about another week and a half.
The LAUS program is the official source of civilian labor force and unemployment data for over 7,500 unique subnational areas. LAUS data are used by numerous federal programs to determine eligibility and to allocate funds. Other uses include labor market research, policy analysis, regional planning, and grant proposals. LAUS data are available on a monthly basis for the total population only. As the program is a hierarchy of non-survey methodologies, no demographic or economic characteristic detail (other than the four measures of civilian labor force, employed people, unemployed people, and unemployment rate) is produced through LAUS.
The Geographic Profile of Employment and Unemployment, or GP, is an annual publication containing subnational data on the demographic and economic characteristics of the labor force from the Current Population Survey (CPS). Data for census regions and divisions are presented in Section I of GP, while data for the 50 states and the District of Columbia are presented in Section II of GP. At approximately 60,000 households per month nationwide, the CPS sample generally is not large enough to support monthly estimation of even total labor force and unemployment for subnational areas. Furthermore, many of the areas included in the LAUS program have no CPS sample coverage whatsoever, precluding tabulation of data over longer time periods. Nor is the reliability of estimates from the CPS consistent across the areas for which annual-average data can be tabulated and published in GP. Despite these limitations, the CPS-based estimates in GP are an important source of demographic and economic characteristic detail for subnational areas.
People who have lost a job make up a large portion of those classified as unemployed each month. There are also persons who have voluntarily left jobs, persons who have newly entered or re-entered the labor force but not yet found a job, and persons who have recently completed temporary jobs and are seeking new employment. For more information, see Concepts and Definitions.
The CPS is a monthly sample survey of approximately 60,000 households (nationally) conducted by the Census Bureau for the Bureau of Labor Statistics. It is the source of much key labor market data, including the U.S. unemployment rate. For more information, see the Current Population Survey program homepage.
"Household" data, as from the Current Population Survey (CPS), pertain to individuals and relate to where they reside. "Establishment" data, such as those from the Current Employment Statistics survey of establishments, pertain to jobs (persons on payrolls) by where those jobs are located. The data developed through the LAUS program are based on the household concept of the CPS. For information on these surveys and how they differ, see Household vs. Establishment Series.
LAUS estimates are used by various federal programs that allocate billions of dollars. These include the Workforce Innovation and Opportunity Act (WIOA), the Emergency Food and Shelter Program, Food Stamp limitation waivers, the Public Works Program, the Temporary Emergency Food Assistance Program (TEFAP), and Labor Surplus Area designations. Under most programs, data are used to help determine the distribution of funds to be allocated to each eligible area. In the cases of the Food Stamp limitation waivers and Labor Surplus Area designations, the data are used in the determination of area eligibility for benefits. See Administrative Uses of Local Area Unemployment Statistics for the list of known federal uses of LAUS data.
Seasonal adjustment is a statistical technique that eliminates the influences of weather, holidays, the opening and closing of schools, and other recurring seasonal events from economic time series. This permits easier observation and analysis of cyclical, trend, and other non-seasonal movements in the data. By eliminating seasonal fluctuations, the series becomes smoother, and it is easier to compare data from month to month. In the LAUS program, data for census regions and divisions; the states, the District of Columbia; and Puerto Rico; and the seven substate model-based areas listed in question 20 below are smoothed-seasonally adjusted. For more information, see the Seasonal Adjustment page. Data for non-modeled metropolitan areas and metropolitan divisions also are available on a seasonally-adjusted basis in the supplemental tables at www.bls.gov/lau/metrossa.htm.
There are a number of different methods used to produce the estimates. The principal ones are: (1) signal-plus-noise models for states, the District of Columbia, and the seven substate areas listed in question 20 below; (2) a building-block approach known as the Handbook procedure for counties and labor market areas; and (3) disaggregation procedures for cities. For a description of these procedures and their uses, see LAUS Estimation Methodology.
National data come from the Current Population Survey (CPS), a sample survey of 60,000 households, which provides a wealth of demographic and economic characteristic detail for the U.S. as a whole. The CPS sample is too small to support reliable estimation of even total employed and unemployed for subnational areas on a monthly basis. (For example, not all counties are covered in the CPS sample.) The LAUS program uses non-survey methodologies to estimate total employed and unemployed for subnational areas on a monthly basis, using the national not-seasonally-adjusted estimates from the CPS as controls. No detailed demographic or economic characteristic data are available through these non-survey methodologies. However, on an annual basis, limited demographic and economic characteristic detail tabulated directly from the CPS for census regions and divisions and the 50 states and the District of Columbia are published in the Geographic Profile of Employment and Unemployment.
The Handbook method is a building-block approach using data from several sources—including the Current Population Survey, the Current Employment Statistics program, the Quarterly Census of Employment and Wages, and unemployment insurance systems—to produce labor force estimates at the substate level. Estimates for counties and labor market areas are produced using this methodology. For a description of the Handbook method, see LAUS Estimation Methodology.
The term "population controls" refers to population data developed from various independent sources, such as vital statistics on births, deaths, migration, school enrollment, persons living in group quarters, inmates in institutions, etc., which are used in Current Population Survey estimation procedures to independently adjust sample-based labor force levels. These are updated annually by the Census Bureau and provided to the Bureau of Labor Statistics. The impact on LAUS estimates of new population controls is to proportionately raise or lower the estimates of labor force levels (with unemployment rates, labor force participation rates, and employment-population ratios being unaffected) for census regions and divisions, the states and the District of Columbia, and the seven substate model-based areas and their respective balance-of-state areas. New population controls typically are implemented for the five most recent years of data at the beginning of each year.
Under real-time benchmarking, a tiered approach to estimation is used. First, model-based estimates are developed for the nine census divisions that geographically exhaust the nation. The census division models are similar to the state models, but do not use unemployment insurance claims counts or nonfarm payroll employment estimates as variables. The not-seasonally-adjusted (NSA) model-based estimates for the census divisions then are adjusted proportionally to the national estimates of employment and unemployment from the Current Population Survey on a monthly basis. The benchmarked NSA employment and unemployment estimates for each census division then are used as the benchmarks for the states within that census division. That is, the state model-based estimates are adjusted proportionally to add to the census division NSA employment and unemployment levels. In this manner, the monthly state employment and unemployment NSA estimates add to the corresponding national levels, precluding differences between the sum-of-state and national data in real time. The benchmarked NSA estimates are then seasonally adjusted and further smoothed.
An outlier represents a sudden break in the normal evolutionary behavior of a time series. Ignoring the existence of outliers may lead to serious distortions in the model estimates. A common form of outlier that presents a special problem for the LAUS models is an abrupt shift in the level of the input data that may be either transitory or permanent. Three types of outliers are distinguished: (1) an additive change that affects only a single observation, or AO; (2) a temporary change having an effect that diminishes to zero over several periods, or TC; and (3) a level shift or a break in the trend of the data, which represents a permanent increase or decrease in the underlying level of the series, or LS.
The term "model-based" refers to estimates derived by a statistical model rather than direct sampling. A signal-plus-noise modeling approach is used to estimate employment and unemployment for the census divisions, the states and the District of Columbia, and the following substate areas and their respective balance-of-state areas: the Los Angeles-Long Beach-Glendale, CA Metropolitan Division; the Miami-Miami Beach-Kendall, FL Metropolitan Division; the Chicago-Naperville-Arlington Heights, IL Metropolitan Division; the Detroit-Warren-Dearborn, MI Metropolitan Statistical Area; New York city, NY; the Cleveland-Elyria, OH Metropolitan Statistical Area; and the Seattle-Bellevue-Everett, WA Metropolitan Division. The signal-plus-noise model postulates that the observed Current Population Survey estimate consists of a true, but unobserved, labor force value (the signal) plus noise that reflects the error arising from taking a probability sample rather than a complete census of the population. The modeling process separates the two to produce an estimate of the signal. For a more detailed discussion of the LAUS models, see LAUS Estimation Methodology.
Contact the LAUS Information Staff by e-mail or by telephone at (202) 691-6392.
Last Modified Date: February 18, 2022