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.

The unemployment rate is the number of unemployed persons as a percentage of the labour force based on International Labour Office (ILO) definition. The labour force is the total number of people employed and unemployed. The MIP scoreboard indicator considers unemployed persons comprise persons aged 15 to 74 who:

- are without work during the reference week;

- are available to start work within the next two weeks;

- and have been actively seeking work in the past four weeks or had already found a job to start within the next three months.

Unit: rate. The indicative threshold of the indicator is 10%. In the table, values are also calculated by considering unemployed persons aged 15 to 24 and those aged 25 to 74.

Analysis of ‘Recorded unemployment, January 2021 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/e0526164-80a3-498e-bd03-5f4e9e7123e6 on 18 January 2022.

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

ANOFM calculates and publishes statistical indicators on registered unemployment, as required by the law. Registered unemployed persons represent both the unemployed paid (unemployed jobseekers with work experience benefits and SOMERI recipients of unemployment benefits without work experience/education graduates) as well as the unemployed (without receiving unemployment benefits) and are squeezed on the basis of data from the primary documents and records in the database of territorial employment agencies. Is the stock at the end of the reference month. The unemployment rate recorded is determined as the ratio between the number of unemployed persons registered with the county and Bucharest employment agencies (paid and unpaid) at the end of the reference month and the active civilian population. The civilian active population represents the potential labour supply and employment of the civilian and registered unemployed population. The indicator is determined annually by the National Institute of Statistics by means of the balance of labour at country, development region and county level. The rate of summons is calculated with the population of civil activity on 1 January 2017. The total number of registered SOMERI is structured on: Gender (women, Barbate), Type of compensation (indemnities, non-indemnities); Level of education (without education, primary education, secondary education, upper secondary education, postgraduate education, professional education/arts and trades, university education); Age groups (under 25, 25-29, 30-39, 40-49, 50-55 years, over 55 years). Average residency (urban, rural).The ANOFM calculates and publishes statistics on registered unemployment in accordance with the legal provisions. Registered unemployed persons represent both the unemployed paid (unemployed jobseekers with work experience benefits and SOMERI recipients of unemployment benefits without work experience/education graduates) as well as the unemployed (without receiving unemployment benefits) and are squeezed on the basis of data from the primary documents and records in the database of territorial employment agencies. Is the stock at the end of the reference month. The unemployment rate recorded is determined as the ratio between the number of unemployed persons registered with the county and Bucharest employment agencies (paid and unpaid) at the end of the reference month and the active civilian population. The civilian active population represents the potential labour supply and employment of the civilian and registered unemployed population. The indicator is determined annually by the National Institute of Statistics by means of the balance of labour at country, development region and county level. The rate of summons is calculated with the population of civil activity on 1 January 2017. The total number of registered SOMERI is structured on: Gender (women, Barbate), Type of compensation (indemnities, non-indemnities); Level of education (without education, primary education, secondary education, upper secondary education, postgraduate education, professional education/arts and trades, university education); Age groups (under 25, 25-29, 30-39, 40-49, 50-55 years, over 55 years). Residential environments (urban, rural).

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

Unemployment Rate in China remained unchanged at 5 percent in June. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘Recorded unemployment, August 2020 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/966b0ea6-e3fd-4795-9089-35a5a4fb0a7f on 15 January 2022.

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

ANOFM calculates and publishes statistical indicators on registered unemployment, as required by the law. Registered unemployed persons represent both the unemployed paid (unemployed jobseekers with work experience benefits and SOMERI recipients of unemployment benefits without work experience/education graduates) as well as the unemployed (without receiving unemployment benefits) and are squeezed on the basis of data from the primary documents and records in the database of territorial employment agencies. Is the stock at the end of the reference month. The unemployment rate recorded is determined as the ratio between the number of unemployed persons registered with the county and Bucharest employment agencies (paid and unpaid) at the end of the reference month and the active civilian population. The civilian active population represents the potential labour supply and employment of the civilian and registered unemployed population. The indicator is determined annually by the National Institute of Statistics by means of the balance of labour at country, development region and county level. The rate of summons is calculated with the population of civil activity on 1 January 2017. The total number of registered SOMERI is structured on: Gender (women, Barbate), Type of compensation (indemnities, non-indemnities); Level of education (without education, primary education, secondary education, upper secondary education, postgraduate education, professional education/arts and trades, university education); Age groups (under 25, 25-29, 30-39, 40-49, 50-55 years, over 55 years). Average residency (urban, rural).The ANOFM calculates and publishes statistics on registered unemployment in accordance with the legal provisions. Registered unemployed persons represent both the unemployed paid (unemployed jobseekers with work experience benefits and SOMERI recipients of unemployment benefits without work experience/education graduates) as well as the unemployed (without receiving unemployment benefits) and are squeezed on the basis of data from the primary documents and records in the database of territorial employment agencies. Is the stock at the end of the reference month. The unemployment rate recorded is determined as the ratio between the number of unemployed persons registered with the county and Bucharest employment agencies (paid and unpaid) at the end of the reference month and the active civilian population. The civilian active population represents the potential labour supply and employment of the civilian and registered unemployed population. The indicator is determined annually by the National Institute of Statistics by means of the balance of labour at country, development region and county level. The rate of summons is calculated with the population of civil activity on 1 January 2017. The total number of registered SOMERI is structured on: Gender (women, Barbate), Type of compensation (indemnities, non-indemnities); Level of education (without education, primary education, secondary education, upper secondary education, postgraduate education, professional education/arts and trades, university education); Age groups (under 25, 25-29, 30-39, 40-49, 50-55 years, over 55 years). Residential environments (urban, rural).

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

VITAL SIGNS INDICATOR Unemployment (EC3)

FULL MEASURE NAME Unemployment rate by residential location

LAST UPDATED July 2019

DESCRIPTION Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market.

DATA SOURCE California Employment Development Department: Historical Unemployment Rates 1990-2018 https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-Annual-Ave/7jbb-3rb8

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Unemployment rates produced by EDD for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by BLS for the metro regions are adjusted for seasonality; they reflect the primary MSA for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

VITAL SIGNS INDICATOR Unemployment (EC3)

FULL MEASURE NAME Unemployment rate by residential location

LAST UPDATED July 2019

DESCRIPTION Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market.

DATA SOURCE California Employment Development Department: Historical Unemployment Rates 1990-2018 https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-Annual-Ave/7jbb-3rb8

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Unemployment rates produced by EDD for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by BLS for the metro regions are adjusted for seasonality; they reflect the primary MSA for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

This dataset provides the Unemployment Rate (UR) in percentage, calculated according to the usual principal status (ps) for each State and Union Territory in India. The data is sourced from the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation since 2020-21. It highlights unemployment trends across regions and all age groups. Note: For 2023-24, Chandigarh's entire area has been considered as urban for this survey.

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.

Unemployment Rate in Mexico remained unchanged at 2.70 percent in June. This dataset provides the latest reported value for - Mexico Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in Germany remained unchanged at 6.30 percent in July. This dataset provides the latest reported value for - Germany Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Data of the US Employment and Unemployment rates since 1940. The data is obtained from the USA Bureau of Labor Statistics and includes the employment status of the civilian noninstitutional population from 1940 to the present day. The numbers in the dataset are measured in thousands and provide important information on the labor market in the US over several decades. This dataset can be used by researchers, policymakers, and analysts to understand the trends and fluctuations in the US labor market, as well as to develop strategies for improving employment and reducing unemployment rates.

Unemployment Rate in Canada decreased to 6.90 percent in June from 7 percent in May of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Civilian labor force data consists of the number of employed persons, the number of unemployed persons, an unemployment rate and the total count of both employed and unemployed persons (total civilian labor force). Labor force refers to an estimate of the number of persons, 16 years of age and older, classified as employed or unemployed. The civilian labor force, which is presented in these data tables, excludes the Armed Forces, i.e., the civilian labor force equals employed civilians plus the unemployed. Employed persons are those individuals, 16 years of age and older, who did any work at all during the survey week as paid employees, in their own business, profession or farm, or who worked 15 hours or more as unpaid workers in a family operated business. Also counted as employed are those persons who had jobs or businesses from which they were temporarily absent because of illness, bad weather, vacation, labor-management dispute, or personal reasons. Individuals are counted only once even though they may hold more than one job. Unemployed persons comprise all persons who did not work during the survey week but who made specific efforts to find a job within the previous four weeks and were available for work during the survey week (except for temporary illness). Also included as unemployed are those who did not work at all, were available for work, but were not actively seeking work because they were either waiting to be called back to a job from which they were laid off or waiting to report to a new job within 30 days. The unemployment rate represents the number of unemployed persons as a percent of the total civilian labor force.

This dataset provides the unemployment rates (in percent) for individuals or youth aged 15-29 years, based on usual status (ps+ss), as estimated from the Periodic Labour Force Survey (PLFS). Sourced from the Ministry of Statistics and Programme Implementation, this data highlights youth unemployment trends over time. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

Labor Force Participation Rate in the United States decreased to 62.30 percent in June from 62.40 percent in May of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

VITAL SIGNS INDICATOR
Unemployment (EC3)

FULL MEASURE NAME
Unemployment rate by residential location

LAST UPDATED
December 2022

DESCRIPTION
Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market.

DATA SOURCE
California Employment Development Department: Historical Unemployment Rates
1990-2010
Spreadsheet provided by CAEDD

California Employment Development Department: Labor Force and Unemployment Rate for California Sub-County Areas - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Labor-Force-and-Unemployment-Rate-for-California-S/8z4h-2ak6
2010-2022

California Employment Development Department: Local Area Unemployment Statistics (LAUS) - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-/e6gw-gvii
1990-2022

U.S. Bureau of Labor Statistics: Local Area Unemployment Statistics (LAUS) - https://download.bls.gov/pub/time.series/la
1990-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Unemployment rates produced by the CA Employment Development Department (EDD) for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by U.S. Bureau of Labor Statistics (BLS) for the metro regions are annual and not adjusted for seasonality; they reflect the primary metropolitan statistical area (MSA) for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

Unemployment Rate in Thailand increased to 0.89 percent in the first quarter of 2025 from 0.88 percent in the fourth quarter of 2024. This dataset provides the latest reported value for - Thailand Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Percentage of unemployed adults, ages 25 and older. This indicator is calculated as the total number of unemployed adults ages 25 and older divided by the labor force in the same age range, which is the sum of employed and unemployed persons. The result is then multiplied by 100 to calculate the unemployment rate. Name in source: Unemployment rate by sex and age -- ILO modelled estimates, May 2024 (%) -- Annual.