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.

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.

Labor Force Participation Rate in Canada decreased to 65.10 percent in August from 65.20 percent in July 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.

In 2024, the labor participation rate among the total population aged between 15 and 64 in Tanzania stood at ***** percent. Between 1990 and 2024, the figure dropped by **** percentage points, though the decline followed an uneven course rather than a steady trajectory.

Unemployment rate, participation rate and employment rate for men and women, 15 years and over, by province, current year.

Graph and download economic data for Labor Force Participation Rate - With No Disability, 65 Years and over (LNU01375379) from Jun 2008 to Aug 2025 about 65 years +, disability, participation, civilian, labor force, labor, household survey, rate, and USA.

LABOR MARKET ENGAGEMENT INDEXSummary

The labor market engagement index provides a summary description of the relative intensity of labor market engagement and human capital in a neighborhood. This is based upon the level of employment, labor force participation, and educational attainment in a census tract (i). Formally, the labor market index is a linear combination of three standardized vectors: unemployment rate (u), labor-force participation rate (l), and percent with a bachelor’s degree or higher (b), using the following formula:

Where means and standard errors are estimated over the national distribution. Also, the value for the standardized unemployment rate is multiplied by -1.

Interpretation

Values are percentile ranked nationally and range from 0 to 100. The higher the score, the higher the labor force participation and human capital in a neighborhood.

Data Source: American Community Survey, 2011-2015Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 9.

To learn more about the Labor Market Engagement Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

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.

LABOR MARKET ENGAGEMENT INDEXSummary

The labor market engagement index provides a summary description of the relative intensity of labor market engagement and human capital in a neighborhood. This is based upon the level of employment, labor force participation, and educational attainment in a census tract (i). Formally, the labor market index is a linear combination of three standardized vectors: unemployment rate (u), labor-force participation rate (l), and percent with a bachelor’s degree or higher (b), using the following formula:

Where means and standard errors are estimated over the national distribution. Also, the value for the standardized unemployment rate is multiplied by -1.

Interpretation

Values are percentile ranked nationally and range from 0 to 100. The higher the score, the higher the labor force participation and human capital in a neighborhood.

Data Source: American Community Survey, 2011-2015Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 9.

To learn more about the Labor Market Engagement Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

In 2024, the labor participation rate among the total population aged between 15 and 64 in Burundi stood at ***** percent. Between 1990 and 2024, the figure dropped by ***** percentage points, though the decline followed an uneven course rather than a steady trajectory.

The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced.

Graph and download economic data for Employment-Population Ratio (EMRATIO) from Jan 1948 to Aug 2025 about employment-population ratio, civilian, 16 years +, household survey, population, employment, and USA.

In 2021, the male labor force participation rate in Kenya was measured at **** percent. This meant that nearly ** in every 100 men aged 15-64 years were economically active. Among females, the rate was lower, at ** percent.

The percentage point gap between the percentage of respondents in the Labour Force Survey who have a long-term condition who are classified as employed (aged 16-64) and the percentage of all respondents in the Labour Force Survey classed as employed (aged 16-64). Numerator for employment rate of people with a long-term condition: Number of people with a health problem or disabilities that they expect will last for more than a year (based on response to Q1 of Annual Population Survey (APS) ) and who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of people with a long-term condition: Number of people with a physical or mental health conditions or illness that they expect will last for more than a year (based on response to Q1 in APS) and are of working age (aged 16-64). Numerator for employment rate of population as a whole: Number of people who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of population as a whole: Number of people who are of working age (aged 16-64).The indicator is constructed by calculating the percentage points gap between the employment rate for those with a long-term condition and the population as a whole. Isles of Scilly value was unable to be calculated. Calculations is based on data that are estimates and are rounded to nearest 100. It is advised that estimates published prior to the April 2013 to March 2014 period should not be treated as a time series due to these discontinuities. Due to this change, data from 2013/14 cannot be compared with previous time points. As a consequence, the baseline for this indicator has been changed to 2013/14.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

The key indicator reports the number of unemployed jobseekers (IDs) with a vacancy period of 2 years or more to the labour force (persons in the labour market, whether employed or not) aged 15 to 64, on an annual average. The calculation is also made for other periods of absence (less than 6 months, 1 year and more, 5 years or more). See also: — The monthly data of “\2”. — Monthly data from “\2”.The key indicator reports the number of unemployed jobseekers (IDs) with a vacancy period of 2 years or more to the labour force (persons in the labour market, whether employed or not) aged 15 to 64, on an annual average. The calculation is also made for other periods of absence (less than 6 months, 1 year and more, 5 years or more). See also: — The monthly data of “\2”. — Monthly data from “\2”.

Abstract

The Labour Force Survey (LFS) is a study of the employment circumstances of the UK population. It is the largest household study in the UK and provides the official measures of employment and unemployment.The first Labour Force Survey (LFS) in the United Kingdom was conducted in 1973, under the terms of a Regulation derived from the Treaty of Rome. The provision of information for the Statistical Office of the European Communities (SOEC) continued to be one of the reasons for carrying out the survey on an annual basis. SOEC co-ordinated information from labour force surveys in the member states in order to assist the EC in such matters as the allocation of the Social Fund. The survey was carried out biennially from 1973 to 1983 and was increasingly used by UK government departments to obtain information which would assist in the framing of social and economic policy. By 1983 it was being used by the Employment Department (now the Department for Work and Pensions) to obtain information which was not available from other sources or was only available for Census years. From 1984 the survey was carried out annually, and since that time the LFS has consisted of two elements:

• a quarterly survey conducted in Great Britain throughout the year, in which each sampled address was called on five times at quarterly intervals, and which yielded about 15,000 responding households in every quarter;
• a 'boost' survey in the spring quarter (March-May), which produced interviews at over 44,000 households in Great Britain and over 4,000 households in Northern Ireland.

Users should note that only the data from the spring quarter and the 'boost' survey were included in the annual datasets for public release, and that only data from 1975-1991 are available from the UK Data Archive. The depositor recommends only considered use of data for 1975 and 1977 (SNs 1757 and 1758), as the concepts behind the definitions of economic activity changed and are not comparable with later years. Also the survey methodology was being developed at the time and so the estimates may not be reliable enough to use.

During 1991 the survey was developed, so that from spring 1992 the data were made available quarterly, with a quarterly sample size approximately equivalent to that of the previous annual data. The Quarterly Labour Force Survey series therefore superseded the annual LFS series, and is held at the Data Archive under GN 33246.

The study is being conducted by the Office for National Statistics (ONS), the government's largest producer of statistics. They compile independent information about the UK's society and economy which provides evidence for policy and decision making, and for directing resources to where they are needed most. The ten-yearly census, measures of inflation, the National Accounts, and population and migration statistics are some of our highest-profile outputs.

Geographic coverage

The whole country.

Analysis unit

• Individuals
• Families/households

Universe

• Households
• All persons normally resident in private households in the United Kingdom

Kind of data

Sample survey data [ssd]

Sampling procedure

Stratified multi-stage sample; for further details see annual reports. Until 1983 two sampling frames were used; in England, Northern Ireland and Wales, the Valuation Roll provided the basis for a sample which, in England and Wales, included all 69 metropolitan districts, and a two-stage selection from among the remaining non-metropolitan districts. In Northern Ireland wards were the primary sampling units. In Scotland, the Address File (i.e. post codes) was used as the basis for a stratified sample.From 1983 the Postoffice Address File has been used instead of the Valuation Roll in England and Wales. In 1984 sample rotation was introduced along with a panel element, the quarterly survey, which uses a two-stage clustered sample design.

The sample comprises about 90,000 addresses drawn at random from the rating lists in 190 different areas of England and Wales With such a large sample, it Will happen by chance that a small number of addresses which were selected at random for the 1979 survey Will come up again In addition 2,000 addresses in 8 of the areas selected in 1979 have been deliberately re-selected again this time (me Interviewers who get these addresses In their work w,ll receive a special letter to take with them.)

The sample is drawn from the "small users" sub-file of the Postcode Address File (PAF), which is a list of all addresses (delivery points) to which mail is delivered, prepared by the Post OffIce and held on computer. "Small users" are delivery points that receive less than 25 afiicles of mail a day and include all but a small proportion of private households. The PAF is updated regularly by the Post Office but, as mentioned in Chapter 1, there was an interruption in the supply of updates in the period leading up to the 1988 msurvey. As a result one third of the sample was drawn from the PAF as at March 1986 and two thirds from the sample as at September 1986. Although the PAF includes newly built properties ahead of their actual occupation, the 1988 sample does seem to have been light in the most recently built properties.

Sampling deviation

One of the limitations of the LFS is that the sample design provides no guarantee of adequate coverage of any industry, as the survey is not industrially stratified. The LFS coverage also omits communal establishments, except NHS housing, students in halls of residence and at boarding schools. Members of the armed forces are only included if they live in private accommodation. Also, workers under 16 are not covered. As in previous years, the sample for the boost survey was drawn in a single stage in the most densely populated areas, in two stages elsewhere. The areas where the sample was drawn in a single stage were:

(I) local authority districts in the metropolitan counties and Greater London; (II) districts which, based on the 1981 Census.

Mode of data collection

Face-to-face [f2f]

Research instrument

All questions in the specification are laid out using the same format. Some questions (for instance USUWRKM) have a main group routed to them, but subsets of this group are asked variations of the question. In such cases the main routing is at the foot of the question as usual, and the subsets are listed separately above it, with the individual aspect of the routing indented slightly from the left of the page.

Cleaning operations

Information Technology Centres provides one-year training and practical work experience course in the use of computers and word processors and other aspects of information technology (eg teletex, editing, computer maintenance).

Response rate

The response rate achieved averaged between 83 percent. The method of calculating response rates is the following: The response rate indicates how many interviews were achieved as a proportion of those eligible for the survey. The formula used is as follows: RR = (FR + PR)/(FR + PR + OR + CR + RHQ + NC + RRI*) where RR = response rate, FR = full response, PR = partial response, OR = outright refusal, CR = circumstantial refusal, RHQ = refusal to HQ, NC = non contact, RRI = refusal to re-interview, *applies to waves two to five only.

Sampling error estimates

As with any sample survey, the results of the Labour Force Survey are subject to sampling errors. In addition, the results of any sample survey are affected by non-sampling errors, i.e. the whole variety of errors other then those due to sampling.

Data appraisal

Day of birth and date of birth variables have been removed from the annual LFS datasets, in the same way that they have been removed from the quarterly LFS datasets from 1992 onwards, as this information is now considered to be disclosive. The variable AGEDFE (age at proceeding 31 August) has been added to all annual datasets.

Iowa Law requires Iowa Workforce Development to establish a tax table for each year. The unemployment insurance rate table trigger formula is primarily based on the UI trust fund balance, unemployment benefit payment history and covered wage growth. The formula is designed to enable the trust fund to keep pace with potential liabilities as covered unemployment and wages grow.

This dataset contains the contribution rate table and the average tax rate for employers subject to the Iowa Unemployment Insurance system. There are eight rate tables each having 21 ranks. Table one has highest average tax rate. Table eight has the lowest average tax rate.

The highest average tax rate (based on taxable wages) was 3.38% in 1984 (Table 1). The lowest average tax rate was 0.94% in 1998 (Table 8). [Time Period: 1980-2018]

lifelong learning: According to the regulation No. 1313/2002 by the European Commission from 19th July 2002 member states have to conduct a sample survey on the ad-hoc module “livelong learning”. Lifelong learning has become an important aspect of employment politics. The question programs for surveys which are obligatory through EU legal norms an for which the Office of the Federal Chancellor bears the costs may not be extended over the demands of the EU legal norm, according to the federal statistic law. An extension would therefore have to be conducted in a separate national commission. The Federal Ministry of Education, Science and Arts (Bundesministerium für Bildung, Wissenschaft und Kunst, BMBWK) evinced interest in such a national commission towards the Statistics Austria. Thereby the BMBWK desired extension of the special survey “livelong learning” to about 16 questions more concerns the question-fields “attendance of courses, trainings, seminars, etc.” and “informal learning”. The survey program consists of two parts: 1. attendance of courses, trainings, seminars, etc. outside the regular educational system (questions C2 to C21 and C24) 2. informal learning (question C23) Since 1983 labour force surveys (LFS) are conducted annually in all European Union (EU) member states. The LFS serve as a basis for internationally compatible (in terms of definition and survey method) data on employment and unemployment for the European Commission. In Austria the LFS is conducted fully annually. The chosen month therefore is March because in this month the Mikrozensus-quarterly-survey which is most suitable in terms of scheduling for the LFS is performed. Central questions for the assessment of the number of employed and unemployed persons (and as a result for the calculation of the unemployment rate according to international standards) are in addition (since 1994) asked quarterly in the Mikrozensus standard survey. The survey conducted in March always relates to the week before the interview and includes the whole population, which means everybody who has their main residence in Austria. Data for persons not found have to be added via a substitution method so that results for the whole population can be provided. In Austria (as well as in several other states) the LFS is only conducted among the population in private households; people who live in institutions (retirement homes, boarding homes, and the like) are not included in the survey (the Mikrozensus special surveys are not conducted in institutional households due to organisational problems and problems with performing the surveys there). These are topics of the LFS: -> immigrants with and without the Austrian citizenship (4 questions) -> features of the “first job” (21 questions) -> statements on part-time jobs (6 questions) -> previous employments of unemployed persons (7 questions) -> job-seeking (13 questions) -> situation of unemployed persons (3 questions) -> school and professional education (9 questions) -> situation one year previous to the survey (7 questions) Furthermore, there are questions on the demographic background, providing information, evidence and the like. In the Mikrozensus, the annual special LFS survey contains 70 questions in addition to the questions of the standard survey which is concerned with standard LFS topics. The questions have remained more or less the same over the years. The only questions that have been changed slightly were those on education. Missing information is substituted with information from persons with similar socio-demographic variables (“imputation”), so that there are no “unknown” cases. Without the substitution program 11,2% of the Probability: Stratified: Disproportional Face-to-face interview

Turkey TR: Employment Coefficient data was reported at 1.000 Ratio in 2026. This stayed constant from the previous number of 1.000 Ratio for 2025. Turkey TR: Employment Coefficient data is updated yearly, averaging 1.000 Ratio from Dec 1998 (Median) to 2026, with 29 observations. The data reached an all-time high of 1.000 Ratio in 2026 and a record low of 1.000 Ratio in 2026. Turkey TR: Employment Coefficient data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Turkey – Table TR.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual. CLF-Employment coefficient ratio of total employment, SNA definition to LFS definition OECD calculation, see OECD Economic Outlook database documentation

South Korea Employment Coefficient data was reported at 1.000 Ratio in 2026. This records an increase from the previous number of 1.000 Ratio for 2025. South Korea Employment Coefficient data is updated yearly, averaging 1.000 Ratio from Dec 1985 (Median) to 2026, with 42 observations. The data reached an all-time high of 1.001 Ratio in 1989 and a record low of 0.996 Ratio in 1999. South Korea Employment Coefficient data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual. CLF-Employment coefficient ratio of total employment, SNA definition to LFS definition OECD calculation, see OECD Economic Outlook database documentation