This interactive chart compares three different measures of unemployment. U3 is the official unemployment rate. U5 includes discouraged workers and all other marginally attached workers. U6 adds on those workers who are part-time purely for economic reasons.

Graph and download economic data for Total Unemployed, Plus All Persons Marginally Attached to the Labor Force, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Persons Marginally Attached to the Labor Force (U-6) (U6RATE) from Jan 1994 to Jun 2025 about marginally attached, part-time, labor underutilization, workers, 16 years +, labor, household survey, unemployment, and USA.

This dataset contains the Local Area Unemployment Statistics (LAUS), annual averages from 1990 to 2023. The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS. Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This web map provides estimates for the percentage of unemployment among people 16 years and older in the labor force from the American Community Survey 5-year data for the United States—50 states and the District of Columbia at county, place, census tract, and ZCTA-levels. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Year: 2017–2021 ACS table(s): DP03 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: September 12, 2023 For questions or feedback send an email to places@cdc.gov.

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS. Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions.

The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

NOTE: The LAUS Seasonally Adjusted Benchmark 2023 data was last revised in 2024. The newly revised Benchmark 2024 data will be available in mid-2025.

This table contains data on the percent of the population in the labor force who are unemployed (unemployment rate), for California, its regions, counties, county divisions, cities/towns, and census tracts. Data is from the Local Area Unemployment Statistics (LAUS), Bureau of Labor Statistics (BLS), and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Unemployment is associated with higher rates of self-reported poor health, long-term illnesses, higher incidence of risky health behaviors (alcoholism, smoking), and increased mortality. Various explanations have been proposed for the link between poor health and unemployment; for example, economic deprivation that results in reduced access to essential goods and services. Another explanation is that unemployment causes the loss of latent functions (social contact, social status, time structure and personal identity) which can result in stigma, isolation and loss of self-worth. More information about the data table and a data dictionary can be found in the About/Attachments section.

The employment and unemployment indicator shows several data points. The first figure is the number of people in the labor force, which includes the number of people who are either working or looking for work. The second two figures, the number of people who are employed and the number of people who are unemployed, are the two subcategories of the labor force. The unemployment rate is a calculation of the number of people who are in the labor force and unemployed as a percentage of the total number of people in the labor force.

The unemployment rate does not include people who are not employed and not in the labor force. This includes adults who are neither working nor looking for work. For example, full-time students may choose not to seek any employment during their college career, and are thus not considered in the unemployment rate. Stay-at-home parents and other caregivers are also considered outside of the labor force, and therefore outside the scope of the unemployment rate.

The unemployment rate is a key economic indicator, and is illustrative of economic conditions in the county at the individual scale.

There are additional considerations to the unemployment rate. Because it does not count those who are outside the labor force, it can exclude individuals who were looking for a job previously, but have since given up. The impact of this on the overall unemployment rate is difficult to quantify, but it is important to note because it shows that no statistic is perfect.

The unemployment rates for Champaign County, the City of Champaign, and the City of Urbana are extremely similar between 2000 and 2023.

All three areas saw a dramatic increase in the unemployment rate between 2006 and 2009. The unemployment rates for all three areas decreased overall between 2010 and 2019. However, the unemployment rate in all three areas rose sharply in 2020 due to the effects of the COVID-19 pandemic. The unemployment rate in all three areas dropped again in 2021 as pandemic restrictions were removed, and were almost back to 2019 rates in 2022. However, the unemployment rate in all three areas rose slightly from 2022 to 2023.

This data is sourced from the Illinois Department of Employment Security’s Local Area Unemployment Statistics (LAUS), and from the U.S. Bureau of Labor Statistics.

Sources: Illinois Department of Employment Security, Local Area Unemployment Statistics (LAUS); U.S. Bureau of Labor Statistics.

1990 to present (approximate 2 month lag) Virginia Labor Force and Unemployment estimates by Month by County.

Special data considerations: Period values of "M01-M12" represent Months of Year; "M13" is the Annual Average.

U.S. Bureau of Labor Statistics; Local Area Unemployment Statistics, table la.data.54.Virginia Data accessed from the Bureau of Labor Statistics public database LABSTAT (https://download.bls.gov/pub/time.series/la/)

Supporting documentation can be found on the U.S. Bureau of Labor Statistics website under Local Area Unemployment Statistics, Handbook of Methods (https://www.bls.gov/opub/hom/lau/home.htm)

Survey Description: Labor force and unemployment estimates for States and local areas are developed by State workforce agencies to measure local labor market conditions under a Federal-State cooperative program. The Department of Labor develops the concepts, definitions, and technical procedures which are used by State agencies for preparation of labor force and unemployment estimates.

These estimates are derived from a variety of sources, including the Current Population Survey, the Current Employment Statistics survey, the Quarterly Census of Employment and Wages, various programs at the Census Bureau, and unemployment insurance claims data from the State workforce agencies.

To establish uniform labor force concepts and definitions in all States and areas consistent with those used for the U.S. as a whole, monthly national estimates of employment and unemployment from the Current Population Survey are used as controls (benchmarks) for the State labor force statistics.

Summary Data Available: Monthly labor force and unemployment series are available for approximately 7,500 geographic areas, including cities over 25,000 population, counties, metropolitan areas, States, and other areas.

For each area, the following measures are presented by place of residence:

• Total civilian labor force,
• Total number of people employed,
• Total number of people unemployed, and
• Unemployment rate

Data Characteristics: Rates are expressed as percents with one decimal place. Levels are measured as individual persons (not thousands) and are stored with no decimal places.

The unemployment rate measures the proportion of Americans aged 16 and older who are currently unemployed and looking for work. This measure does not account for individuals who have given up on searching due to a lack of opportunities or otherwise, such as discouraged workers. The data presented in this report are annual averages based on unadjusted monthly data sourced from the Bureau of Labor Statistics (BLS).

In 2023, the broadest measure of labor underutilization, designated U-6 (which includes the unemployed, workers employed part-time for economic reasons, and those marginally attached to the labor force), was 5.3 percent in Virginia, significantly lower than the 6.9-percent rate for the nation, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Alexandra Hall Bovee noted that the six alternative measures of labor underutilization in Virginia were significantly lower than the national rates. In Virginia and nationally, none of the measures significantly differed from the previous year.The official concept of unemployment, U-3 in the U-1 to U-6 range of measures, includes all jobless persons who are available to take a job and have actively sought work in the past 4 weeks. In 2023, 13 states had rates significantly lower than those of the U.S. for all six measures of labor underutilization, while 4 states and the District of Columbia had rates higher than those of the U.S. for all six measures. The U-4 rate includes discouraged workers; thus, the difference between U-3 and U-4 reflects the degree of would-be job-seeker discouragement. At the national level, the difference between U-3 and U-4 was +0.3 percentage point in 2023. No state had a noteworthy difference between these two measures.

The U-5 rate includes all people who are marginally attached to the labor force, and U-6 adds those who are involuntary part-time workers. Therefore, the larger the difference between U-5 and U-6, the higher the incidence of this form of "underemployment." In 2023, 47 states and the District of Columbia had significant differences between their U-5 and U-6 rates. California had the largest gap (+3.5 percentage points), followed by Oregon (+3.3 points) and Washington (+3.0 points). At the national level, the difference between U-5 and U-6 was +2.4 percentage points.

Relative to 2022, Pennsylvania was the only state to experience significant decreases in all 6 measures of labor underutilization, while Mississippi had decreases in 5 of the 6 measures. For each measure, rates declined over the year for at least three states (U-2 and U-6) and as many as seven states (U-4). Only California experienced over-the-year increases in all 6 measures, while New Jersey had increases in 5 of the 6 measures. Three additional states had increases in one measure (U-1 for Indiana and Texas and U-5 for Idaho). At the national level, rates were unchanged over the year for all six measures.

This dataset contains information about the unemployment rate in Austin (SD23 measure EOA.A.1). Texas Workforce Comission provides Texas Labor Market Information for Austin, the Austin Round-Rock MSA, Texas, and the United States. This dataset includes the average number of people in the civilian labor force, the employment count, the unemployment count, and the unemployment rate for Austin, the Austin Round-Rock MSA, Texas, and the United States. The unemployment rate can be useful in understanding economic and workforce trends in Austin over time. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/Percentage-Unemployment-Rate/ehhu-nafn/

Graph and download economic data for Infra-Annual Registered Unemployment and Job Vacancies: Total Economy: Registered Unemployment for Germany (LMUNRRTTDEQ156S) from Q1 1969 to Q4 2023 about Germany, unemployment, and rate.

Analysis of ‘Local Area Unemployment Statistics (LAUS), Annual Average’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/361f6e22-af6e-4432-a987-843f1f147b14 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains the Local Area Unemployment Statistics (LAUS), annual averages from 1990 to 2020.

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,300 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State employment security agencies prepare under agreement with BLS. Estimates for the remainder of the substate labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data.

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Infra-Annual Registered Unemployment and Job Vacancies: Total Economy: Registered Unemployment for Switzerland (LMUNRRTTCHQ156S) from Q1 1970 to Q4 2023 about Switzerland, unemployment, and rate.

Unemployment Rate in Los Angeles County, CA was 5.10% in April of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Los Angeles County, CA reached a record high of 18.90 in May of 2020 and a record low of 4.10 in April of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Los Angeles County, CA - last updated from the United States Federal Reserve on July of 2025.

The data contain variables describing labour force, unemployment, support measures, and open vacancies, sorted by the Employment and Economic Development Offices (TE Offices). Variables related to labour force and unemployment include the amount of labour force, unemployment rate, the number of unemployed job-seekers and laid-off workers, and the number of long-term unemployed and repeatedly unemployed. The data also include information on vacancies notified to Employment and Economic Development Office and filled vacancies. The data include information on the duration of the periods of unemployment during the year, and on the reasons why the periods of unemployment had ended (e.g. employment, measures of employment administration, labour market training, and unemployment pension). There are also data on the number of employment policy statements and job-seekers' individual action plans, as well as on the recipients of labour market subsidy. In addition, the dataset contains information on the job-seekers employed with the aid of employment administration measures, and on the job-seekers who have finished labour market adult education, subsidised employment, or labour market subsidy traineeship. The data also contain information on the job-seekers' situation 3 months after the implementation of various employment policy measures (e.g. wage subsidy and other employment subsidies, preparatory labour market training, vocational labour market training, labour market subsidy traineeship and self-motivated education). The dataset includes the man-years of the Employment and Economic Development Office sorted by employee groups.

San Marino Google Search Trends: Government Measures: Unemployment Benefits data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. San Marino Google Search Trends: Government Measures: Unemployment Benefits data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 96.000 Score in 09 Mar 2024 and a record low of 0.000 Score in 14 May 2025. San Marino Google Search Trends: Government Measures: Unemployment Benefits data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s San Marino – Table SM.Google.GT: Google Search Trends: by Categories.