Status of employment for people aged 15+. Number of people who are in/out of the labour force, employed or unemployed. The "employed" category is disaggregated by Status in employment (for the main job). Status of employment is divided into 5 categories: employees, employers, own-account workers, contributing family workers and workers not classified by status. "Employees" comprises all individuals working in the public and private sector, "Contributing family workers" contains all individuals working to sell their products, producing goods for family use and those working to help a family business.
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Labor Force Participation Rate in the United States decreased to 62.20 percent in July from 62.30 percent in June 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.
In 2023, China's labor force amounted to approximately 772.2 million people. The labor force in China indicated a general decreasing trend in recent years. As both the size of the population in working age and the share of the population participating in the labor market are declining, this downward trend will most likely persist in the foreseeable future. A country’s labor force is defined as the total number of employable people and incorporates both the employed and the unemployed population. Population challenges for China One of the reasons for the shrinking labor force is the Chinese one-child policy, which had been in effect for nearly 40 years, until it was revoked in 2016. The controversial policy was intended to improve people’s living standards and optimize resource distribution through controlling the size of China’s expanding population. Nonetheless, the policy also led to negative impacts on the labor market, pension system and other societal aspects. Today, China is becoming an aging society. The increase of elderly people and the lack of young people will become a big challenge for China in this century. Employment in China Despite the slowing down of economic growth, China’s unemployment rate has sustained a relatively low rate. Complete production chains and a well-educated labor force make China’s labor market one of the most attractive in the world. Working conditions and salaries in China have also improved significantly over the past years. Due to China’s leading position in terms of talent in the technology industry, the country is now attracting investment from some of the world’s leading companies in the high-tech sector.
Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
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United States Labour Force Participation Rate: Age 70 to 74 data was reported at 19.900 % in Jun 2018. This records an increase from the previous number of 19.400 % for May 2018. United States Labour Force Participation Rate: Age 70 to 74 data is updated monthly, averaging 14.300 % from Jan 1987 (Median) to Jun 2018, with 378 observations. The data reached an all-time high of 20.300 % in Oct 2012 and a record low of 9.500 % in Feb 1987. United States Labour Force Participation Rate: Age 70 to 74 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G008: Current Population Survey: Labour Force.
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Flows Into Unemployment: Female: Not in Labour Force data was reported at 1,096.000 Person th in Jun 2018. This records an increase from the previous number of 813.000 Person th for May 2018. Flows Into Unemployment: Female: Not in Labour Force data is updated monthly, averaging 1,063.000 Person th from Feb 1990 (Median) to Jun 2018, with 341 observations. The data reached an all-time high of 1,875.000 Person th in Jun 2011 and a record low of 618.000 Person th in Dec 2000. Flows Into Unemployment: Female: Not in Labour Force data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.
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Graph and download economic data for Civilian Labor Force Level (CLF16OV) from Jan 1948 to Jun 2025 about civilian, 16 years +, labor force, labor, household survey, and USA.
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Flows Into Not in Labour Force: sa: Employed data was reported at 4,571.000 Person th in Jun 2018. This records an increase from the previous number of 4,404.000 Person th for May 2018. Flows Into Not in Labour Force: sa: Employed data is updated monthly, averaging 3,759.000 Person th from Feb 1990 (Median) to Jun 2018, with 341 observations. The data reached an all-time high of 5,206.000 Person th in Oct 2017 and a record low of 2,869.000 Person th in Apr 1992. Flows Into Not in Labour Force: sa: Employed data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.
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This dataset provides values for LABOR FORCE PARTICIPATION RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Serbia Population: Labour Force: 35-44 Years data was reported at 854,400.000 Person in Mar 2018. This records a decrease from the previous number of 864,000.000 Person for Dec 2017. Serbia Population: Labour Force: 35-44 Years data is updated quarterly, averaging 838,300.000 Person from Mar 2014 (Median) to Mar 2018, with 17 observations. The data reached an all-time high of 864,900.000 Person in Sep 2017 and a record low of 820,800.000 Person in Dec 2014. Serbia Population: Labour Force: 35-44 Years data remains active status in CEIC and is reported by Statistical Office of the Republic of Serbia. The data is categorized under Global Database’s Serbia – Table RS.G006: Labour Force Survey: Population and Labour Force: Quarterly.
This graph shows the civilian labor force in the United States from 1990 to 2024. In 2024, the number of people who had jobs or were seeking employment amounted to about 168.11 million.
In June 2025, the civilian labor force amounted to 170.38 million people in the United States. The term civilian labor force is used by the U.S. Bureau of Labor Statistics (BLS) to describe the subset of Americans who have jobs or are seeking a job, are at least 16 years old, are not serving in the military, and are not institutionalized.
In 2024, around **** percent of the male population and **** percent of the female population aged 15 years and above in Japan were in the workforce nationally. The labor force participation rate among women reached the highest share since 1973. Female employment rate Japan’s employment rate, the share of people who are employed among the total population aged 15 years and above, rose to **** percent in the same year. It was mainly a higher share of ***** in employment that contributed to the overall increase in the employment rate in 2024. Despite the female employment rate reaching an all-time high, a significantly larger share of women, over **** of female employees, were in non-regular employment, such as part-time and temporary work. Distinctive work patterns of women shaped by Japan’s labor market and corporate culture are one of the reasons for its gender gap when it comes to equal economic participation. Women’s work patterns One of these work patterns is the M-shaped curve of female labor participation. The curve reflects the trend that female labor force participation peaks in the age group of ** to **-year-olds and then falls, as women drop out of the workforce upon life events such as marriage and childbirth, only to reenter the workforce at a later stage. This curve has gradually flattened in recent years, as fewer women left the workforce in their ********. However, the so-called L-shaped curve of women in regular employment suggests that instead, fewer women stay in regular employment. The percentage of women working in regular full-time jobs peaks in the age bracket of ** to **-year-olds and then declines steadily. This makes women less likely to enter leadership positions.
The labor participation rate among the total population aged between 15 and 64 in Germany stood at ***** percent in 2024. Between 1990 and 2024, the labor participation rate rose by **** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.
In 2024, the labor force participation rate in the Philippines was **** percent. The labor force participation rate in the country has been fluctuating over the past decade, with its lowest figure recorded in 2020. Labor force situation in the Philippines The labor force participation rate refers to the share of the population currently employed or actively seeking employment. As a country with a predominantly young population, the labor market in the Philippines is robust, with a workforce that could drive economic growth. In 2023, the working-age population in the Philippines was estimated to have surpassed ** million people, reflecting constant growth in recent years. Across gender, the labor force participation of women was significantly lower than for men. COVID-impact on employment The COVID-19 pandemic in 2020 resulted in significant job losses in the Philippines as long periods of lockdown shuttered the economy. A survey in April 2021 reflected that around ** percent of public transportation drivers lost their jobs due to the pandemic. In addition, ** percent of workers in formal and informal services also experienced job losses. As a result, the unemployment rate reflected a slight increase during this period, although it was still lower than the rate of unemployment recorded in 2006.
The infra-annual labour statistics dataset contains predominantly monthly and quarterly labour statistics, and associated statistical methodological information, for the OECD member countries and selected other economies. It covers countries that compile labour statistics from sample household surveys on a monthly or quarterly basis. It is widely accepted that household surveys are the best source for labour market key statistics. In such surveys, information is collected from people living in households through a representative sample and the surveys are based on standard methodology and procedures used internationally.
The subjects available cover: working age population by age; active and inactive labour force by age; employment by economic activity, by working time and by status; and, unemployment (including monthly unemployment) by age and by duration. Data is expressed in levels (thousands of persons) or rates (e.g. employment rate) where applicable. The relationship between these several measures are as follow:
• Working age population = Labour force population + Inactive population
• Labour force population = Employed population + Unemployed population
• Employment rate = Employed population / Working age population
• Unemployment rate = Unemployed population / Labour force population
• Labour force participation rate = Labour force population / Working age population
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
This dataset includes labour statistics broken down by sex and country.
Labour statistics represents: civilian employment, employees, unemployment, etc. Data are collected from sample household surveys on a monthly or quarterly basis. Data are expressed in levels, rates, quantities or indexes 2015=100.
www.oecd.org
https://stats.oecd.org/viewhtml.aspx?datasetcode=ALFS_SUMTAB&lang=en
Some basic statistics for the world's labour force market.
These data are taken from the ANNUAL datasets from the Labour Force Survey (LFS) carried out by the Office for National Statistics (ONS), providing labour market data back to 1996 for the NUTS2 areas in Wales, and back to 2001 for the local authorities in Wales. The availability of local authority data is dependent upon on an enhanced sample (around 350 per cent larger) for the annual LFS, which commenced in 2001. For years labelled 1996 to 2004 in this dataset, the actual periods covered are the 12 months running from March in the year given to February in the following year (e.g. 2001 = 1 March 2001 to 28 February 2002). Since 2004, the annual data have been produced on a rolling annual basis, updated every three months, and the dataset is now referred to as the Annual Population Survey (APS). The rolling annual averages are on a calendar basis with the first rolling annual average presented here covering the period 1 January 2004 to 31 December 2004, followed by data covering the period 1 April 2004 to 31 March 2005, with rolling quarterly updates applied thereafter. Note therefore that the consecutive rolling annual averages overlap by nine months, and there is also a two-month overlap between the last period presented on the former March to February basis, and the first period on the new basis. The population can be broken down into economically active and economically inactive populations. The economically active population is made up of persons in employment, and persons unemployed according to the International Labour Organisation (ILO) definition. This report allows the user to access these data. Although each measure is available for different population bases, there is an official standard population base used for each of the measures, as follows. Population aged 16 and over: Economic activity level, Employment level, ILO unemployment level Population aged 16-64: Economic inactivity level 16-64 population is used as the base for economic inactivity. By excluding persons of pensionable age who are generally retired and therefore economically inactive, this gives a more appropriate measure of workforce inactivity. Rates for each of the above measures are also calculated in a standard manner and are available in the dataset. With the exception of the ILO unemployment rate, each rate is defined in terms of the shares of population that fall into each category. The ILO unemployment rate is defined as ILO unemployed persons as a percentage of the economically active population. Although each rate is available for the different population bases, there is an official standard population base used for each of the rates, as follows. Percentage of population aged 16-64: Economic activity, Employment,. Economic inactivity Percentage of economically active population aged 16 and over: ILO unemployment
Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.
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Graph and download economic data for Employment-Population Ratio (EMRATIO) from Jan 1948 to May 2025 about employment-population ratio, civilian, 16 years +, household survey, employment, population, and USA.
Status of employment for people aged 15+. Number of people who are in/out of the labour force, employed or unemployed. The "employed" category is disaggregated by Status in employment (for the main job). Status of employment is divided into 5 categories: employees, employers, own-account workers, contributing family workers and workers not classified by status. "Employees" comprises all individuals working in the public and private sector, "Contributing family workers" contains all individuals working to sell their products, producing goods for family use and those working to help a family business.
Find more Pacific data on PDH.stat.