Labor Force Participation Rate in the United States increased to 62.30 percent in August from 62.20 percent in July 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.

Graph and download economic data for Labor Force Participation Rate - 25-54 Yrs. (LNS11300060) from Jan 1948 to Aug 2025 about 25 to 54 years, participation, civilian, labor force, labor, household survey, rate, and USA.

This thematic map presents the labor force participation rate of working-age people in the United States in 2010. The 2010 Labor Force Participation Rate shows the Civilian Population over 16 years of age who are in the Labor Force. This includes all civilians 16 years old and over who were either employed or actively seeking work. The Labor Force Participation Rate is calculated as the number of persons in the labor force as a percentage of the total working-age population. Low labor force participation rates may indicate chronically high unemployment among residents who are no longer looking for work or above-average proportions of children or retirees in the resident population. These data are ESRI’s 2010 estimates. The geography depicts states at greater than 25m scale, counties at 1m to 25m scale, Census Tracts at 250k to 1m scale, and Census Block Groups at less than 250k scale. The map has been designed to be displayed with semi-transparency of about 50% for overlay on other base maps, which is reflected in the legend for the map. For more information on this map, including our terms of use, visit us online at http://goto.arcgisonline.com/maps/Demographics/USA_Labor_Force_Participation_Rate

Historical and Projected Labor Force Participation Rate for Females in Maryland and its Jurisdictions, 1970-2045. Projected participation rates are calculated from rounded (to the nearest 10) population and labor force totals

Cuba CU: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 60.333 % in 2024. This records a decrease from the previous number of 60.709 % for 2023. Cuba CU: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 60.251 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 65.116 % in 2018 and a record low of 47.646 % in 1994. Cuba CU: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.;World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.;Weighted average;National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

United States US: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 81.641 % in 2017. This records a decrease from the previous number of 81.668 % for 2016. United States US: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 80.555 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 82.223 % in 2010 and a record low of 74.649 % in 1990. United States US: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

The statistic represents the female labor force participation rate calculated from the results of a 2015 survey among households in India. The survey was conducted between April and December 2015, and the results were broken down by state and union territory. The LFPR among females in the union territory of Chandigarh was the highest, followed by the state of Chhattisgarh with approximately ** percent during the surveyed time period.

France FR: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data was reported at 85.125 % in 2016. This records an increase from the previous number of 84.778 % for 2015. France FR: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data is updated yearly, averaging 76.232 % from Dec 1962 (Median) to 2016, with 41 observations. The data reached an all-time high of 85.125 % in 2016 and a record low of 48.415 % in 1962. France FR: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

The labor participation rate among the total population aged between 15 and 64 in Palestine increased by **** percentage points in 2022, reaching **** percent. The labor force participation rate is the share of the population aged 15 and over who are currently employed or actively searching for work. It is calculated by dividing the economically active population aged 15 and over by the total population aged 15 and over.

The labor participation rate among the total population aged between 15 and 64 in Greece increased by *** percentage points (***** percent) in 2024. With ***** percent, the labor participation rate thereby reached its highest value in the observed period. The labor force participation rate refers to the share of the population aged 15 years and over who are economically active. Unemployed people actively searching for work are included, whereas the long-term unemployed (economically inactive) are not. It is calculated by dividing the total number of workers aged 15 and over by the total population aged 15 and over.Find more statistics on other topics about Greece with key insights such as employment level in services as a share of total employment, youth unemployment rate, and employment level in services as a share of total employment for women.

Labor Force Participation Rate in Canada increased to 65.20 percent in September from 65.10 percent in August of 2025. This dataset provides the latest reported value for - Canada Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Historical and Projected Labor Force Participation Rate for Females in Maryland and its Jurisdictions, 1970-2040. Projected participation rates are calculated from rounded (to the nearest 10) population and labor force totals

Mali ML: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data was reported at 68.186 % in 2016. This records a decrease from the previous number of 76.752 % for 2015. Mali ML: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data is updated yearly, averaging 71.245 % from Dec 1976 (Median) to 2016, with 8 observations. The data reached an all-time high of 87.731 % in 2007 and a record low of 18.304 % in 1976. Mali ML: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

United Kingdom UK: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 83.419 % in 2017. This records an increase from the previous number of 83.277 % for 2016. United Kingdom UK: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 78.418 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 83.419 % in 2017 and a record low of 70.182 % in 1990. United Kingdom UK: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Poland PL: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data was reported at 74.300 % in 2017. This records a decrease from the previous number of 74.575 % for 2016. Poland PL: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data is updated yearly, averaging 76.169 % from Dec 1960 (Median) to 2017, with 30 observations. The data reached an all-time high of 78.579 % in 2001 and a record low of 68.010 % in 1960. Poland PL: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Employment and unemployment data by city for places in San Mateo County. CDP is "Census Designated Place" - a recognized community that was unincorporated at the time of the 2000 Census.

1) Data may not add due to rounding. All unemployment rates shown are calculated on unrounded data. 2) These data are not seasonally adjusted.

Methodology: Monthly city and CDP labor force data are derived by multiplying current estimates of county employment and unemployment by the employment and unemployment shares (ratios) of each city and CDP at the time of the 2000 Census. Ratios for cities of 25,000 or more persons were developed from special tabulations based on household population only from the Bureau of Labor Statistics. For smaller cities and CDP, ratios were calculated from published census data.

City and CDP unrounded employment and unemployment are summed to get the labor force. The unemployment rate is calculated by dividing unemployment by the labor force. Then the labor force, employment, and unemployment are rounded.

This method assumes that the rates of change in employment and unemployment, since 2000, are exactly the same in each city and CDP as at the county level (i.e., that the shares are still accurate). If this assumption is not true for a specific city or CDP, then the estimates for that area may not represent the current economic conditions. Since this assumption is untested, caution should be employed when using these data.

Denmark DK: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 88.092 % in 2017. This records an increase from the previous number of 88.010 % for 2016. Denmark DK: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 84.631 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 88.553 % in 2013 and a record low of 79.338 % in 1995. Denmark DK: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Denmark – Table DK.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

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.

Austria AT: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data was reported at 85.278 % in 2023. This records an increase from the previous number of 84.803 % for 2022. Austria AT: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data is updated yearly, averaging 76.326 % from Dec 1961 (Median) to 2023, with 46 observations. The data reached an all-time high of 85.278 % in 2023 and a record low of 52.816 % in 1971. Austria AT: Labour Force Participation Rate: National Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.;World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.;Weighted average;The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Abstract

Labour statistics play an essential role in the efforts of the country to achieve decent work for all. These statistics are needed for the development of policies towards this goal and for assessing progress towards decent work.

The government of Rwanda needs updated information for monitoring progress on programs and policies as stipulated in the first National Strategy for Transformation (NST1), Sustainable Development Goals (SDGs) as well as vision 2050. To monitor progress towards these goals and targets, relevant, reliable, coherent, timely and accessible labour statistics have to be produced.

The National Institute of Statistics of Rwanda introduced the labour force survey (LFS) program since 2016 to provide key stakeholders, Ministry of Public Service and Labour and Ministry of Finance and Economic Planning, the Ministry of Education, International Labour Organization and other users, with needed labour statistics. The ultimate goal of the labour force survey is to collect data on employment and labour underutilization characteristics of the population on a continuous basis, providing quarterly estimates of the main labour force aggregates. The Rwanda Labour Force survey programme begun in 2016 with an annual sample spread into two rounds to provide bi-annual estimates of main indicators at the National level. From February 2019, the annual sample was spread into four rounds to provide estimates of main labour market indicators on quarterly basis at the National level. This specific report combine data of all four rounds for which the data collection was conducted in 2021, specifically in February, May, August and November, to provide 2021 annual estimates at national and district level where applicable.

Geographic coverage

Labor force survey data are at the National level coverage but Employment and Labour force participation rate are represented at District level as well as by residential area.

Analysis unit

Household and individual

Universe

The target population eligible for Labor force survey is 16 years old and above resident of selected households. However, the survey also collected data on certain particular labour-market related issues such as income from employment, migrant workers and workers with disabilities.

It is important to note that the suirvey is limited to persons living in private households. It excludes the institutional population permanently residing in houses such as hostels; health resorts; correctional establishments etc., as well as persons living in seasonal dwellings not covered in the survey. It also excludes workers living at their work-sites. A household is a group of persons who live together and make common provision for food and other essentials for living. The people in the group may be related or unrelated or a combination of both. A household may consist of only one person or several persons.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Rwanda Labour Force Survey is conducted by quarterly basis.

Sampling procedure

The sample design of the LFS is a two-stage stratified design according to which at the first stage of sampling, a stratified sample of enumeration areas from the latest population census is drawn with probabilities proportional to size measured in terms of the census number of households or census number of household members, and at the second stage of sampling, a fixed number of sample of households is selected with equal probability within each sample enumeration areas. Finally, all household members in the sample households are selected for survey interviewing.

The scope of the survey is all persons living in private households. It excludes the institutional population permanently residing in houses such as hostels; health resorts; correctional establishments etc., as well as persons living in seasonal dwellings not covered in the survey. It also excludes workers living at their work-sites. A household is a group of persons who live together and make common provision for food and other essentials for living. The people in the group may be related or unrelated or a combination of both. A household may consist of only one person or several persons.

Sample size determination in most household-based surveys with multi-stage stratified design is based on the principle of first calculating the required sample size for a single «domain» assuming a simple random sample design and no non-response. A domain is a well-defined population group for which estimates with pre-determined accuracy are sought. The results are then extended to allow for non-response and deviation from simple random sampling. The application of this principle with the choice of parameters described below leads to a sample size requirement of 18,691 households for measuring annual unemployment with margin of errors of +/-0.3% at 95% confidence level. In these calculations, the main indicator is the ratio of unemployment to the working age population, set at r=0.024 according to the 2012 population census of Rwanda.

For more detailed information on sampling, see the survey final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The Rwanda LFS questionnaire consisted of nine sections and it was prepared in Kinyarwanda and in English.