Labor Force Participation Rate in the United States decreased to 62.40 percent in May from 62.60 percent in April 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 - With No Disability, 65 Years and over (LNU01375379) from Jun 2008 to May 2025 about 65 years +, disability, participation, civilian, labor force, labor, household survey, rate, and USA.

In October 2024, the inactive labor force amounted to about 100.72 million people in the United States. Labor force measures are based on the civilian non-institutional population 16 years old and over. Excluded are persons under 16 years of age, all persons confined to institutions such as nursing homes and prisons, and persons on active duty in the Armed Forces. The labor force is made up of the employed and the unemployed. The remainder — those who have no job and are not looking for one — are counted as "not in the labor force." Many who are not in the labor force are going to school or are retired. Family responsibilities keep others out of the labor force.

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.

Graph and download economic data for Not in Labor Force (LNS15000000) from Jan 1975 to May 2025 about 16 years +, labor force, labor, household survey, and USA.

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.

The percent of persons who are not in the labor force out of all persons between the ages of 16 and 64 in the area. There are several reasons why persons may not be included in the labor force. These reasons may include: they are caretakers for children or other family members; they attend school or job training; they may have a disability; and they are discouraged or frustrated and have given up seeking a job or have a history that may include criminal activity. Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

In 2023, the female labor force participation rate in Singapore was at 62.6 percent. This places Singapore behind countries in the APAC region like Vietnam and New Zealand. Demand for female labor Women's participation rate in the labor force varies with age. From the ages of 25 to 29, the labor force participation rate of males and females in Singapore is comparable. The gender gap in the local labor force only emerges when women enter their 30s. Generally, however, the men were more active in the workforce than women. This too is reflected in the boardroom. In 2019, just 18.4 percent of members of boards of directors in Singapore were women. Female labor force and an aging population In the face of a rapidly aging population, there is a higher demand for labor in Singapore’s workforce. The labor force participation rate for women aged 65 years and older increased by almost ten percent in the past decade . Measures were introduced by some firms in recent years to ease women’s participation in the workforce. This includes ad hoc flexible work arrangements, such as unplanned time-off and telecommuting. Singapore has also implemented several enhanced maternity benefits and leave schemes for working parents.

Graph and download economic data for Labor Force Participation Rate - Men (LNU01300001) from Jan 1948 to May 2025 about males, participation, civilian, 16 years +, labor force, labor, household survey, rate, and USA.

Graph and download economic data for Labor Force Participation Rate - Women (LNS11300002) from Jan 1948 to May 2025 about females, participation, 16 years +, labor force, labor, household survey, rate, and USA.

This dataset presents the annual percentage of self-employed and unpaid family workers out of the total labor force in Qatar. The data highlights the consistently low share of these categories within the labor market, offering insight into the dominance of formal wage-based employment and the structure of economic participation in the country.

The graph shows the number of employed people in China from 2014 to 2024. In 2024, the workforce in China amounted to around 734.4 million people. This marked an annual decrease of six million and is in line with a general downward trend since 2014. Workforce in China China’s total population has been declining since 2022 and dropped by 1.4 million annually to around 1.408 billion as of the end of 2024. This development is also reflected in the number of people in working age which has been shrinking since 2014. The labor force of China, which refers to the population aged 16 and over and capable of working, has been declining since 2016 and ranged at around 772.2 million in 2023. Out of the total number of employed people in 2023, about 470.3 million people were employed in urban areas, while 270.1 million people were working in rural areas. Distribution of the workforce The share of the workforce employed in the primary sector declined significantly from 36.7 percent in 2010 to 22.8 percent in 2023, only interrupted in 2022 by effects related to the COVID-19 pandemic. While the percentage of people employed in the primary sector decreased, the tertiary sector gained importance. As of 2023, about 29.1 percent of Chinese workers were employed in secondary and 48.1 percent in tertiary industries. The share of the workforce employed in the secondary sector increased until 2012 but decreased thereafter due to China's shift towards a service driven economy.

Graph and download economic data for Infra-Annual Labor Statistics: Labor Force Participation Rate Male: From 25 to 54 Years for United States (LRAC25MAUSM156S) from Jan 1955 to May 2025 about 25 to 54 years, males, participation, labor force, labor, rate, and USA.

The percent of persons who are not in the labor force out of all persons between the ages of 16 and 64 in the area. There are several reasons why persons may not be included in the labor force. These reasons may include: they are caretakers for children or other family members; they attend school or job training; they may have a disability; and they are discouraged or frustrated and have given up seeking a job or have a history that may include criminal activity. Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

Graph and download economic data for Labor Force Participation Rate - High School Graduates, No College, 25 Yrs. & over (LNU01327660) from Jan 1992 to May 2025 about secondary schooling, secondary, 25 years +, participation, tertiary schooling, civilian, education, labor force, labor, household survey, rate, and USA.

In 2023, the labor force employment rate of those aged 15 years and above in Singapore was 66.2 percent. Singapore has enjoyed a relatively stable employment rate. In the face of a rapidly aging population, however, it faces higher demand for labor in the workforce. Aging population While Singapore is likely to continue with the strategies of migration and input from foreign labor supply as a means to maintain labor force growth, there is a need to expand the resident labor force at the same time by tapping older age groups as well as women. The minimum retirement age in Singapore is set at 62 years old, however 31.5 percent of residents aged 65 years old were still employed or seeking employment. A profile of older workers in Singapore showed that a large proportion of the current cohort of workers tend to be less educated, and thus many are employed in low-skilled jobs and hence receive lesser wages. It is thus a challenge to raise labor productivity and to enhance their long-term employability in an unstable economic climate. Women in the workforce The female labor force participation rate in Singapore places the city-state behind countries in the APAC region like Vietnam, Cambodia and New Zealand despite higher education attainment amongst women in recent years. The gender gap in the local labor force only emerges when women enter their 30s. In addressing this issue, ad hoc flexible work arrangements, such as unplanned time-off and telecommuting were introduced in recent years. Singapore has also implemented several enhanced maternity benefits and leave schemes for working parents.

Labor Force Participation Rate in Japan remained unchanged at 63.20 percent in February. This dataset provides the latest reported value for - Japan Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

As of 2023, the labor force in Egypt consisted of nearly 33.4 million people, which was higher than the previous year. In general, the number of currently employed or unemployed people seeking work increased, reaching its peak in 2023. Between 2016 and 2019, it followed an overall slight declining trend. Furthermore, the most significant proportion in 2022 had completed a technical or general secondary education degree. A huge gender gap in labor participation. The Egyptian labor market faced several obstacles, one of which is gender disparity. For instance, only 16.5 percent of Egyptian women were economically active. In contrast, this figure was much higher for men between 15 years and older at nearly 71.3 percent. In addition, the unemployment rate was higher for women reaching 17.3 percent as of the second quarter of 2023. Alternatively, the male unemployment rate was significantly lower at close to five percent.   An informal market that absorbs the majority of employment. The country has a large informal market. In particular, almost two-thirds of the employment occurred in the shadow market in 2019, putting burden on the Egyptian economy. Not surprisingly, the gender gap persists in the informal sector. In 2020, out of the 17.5 million working without official documentation in the country, a staggering 89 percent were men.

These data come from the Current Population Survey (CPS), also known as the household survey.

Civilian Labor Force includes all persons in the civilian noninstitutional population ages 16 and older classified as either employed or unemployed.

Employed persons are all persons who, during the reference week (the week including the 12th day of the month), (a) did any work as paid employees, worked in their own business or profession or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of their family, or (b) were not working but who had jobs from which they were temporarily absent because of vacation, illness, bad weather, childcare problems, maternity or paternity leave, labor-management dispute, job training, or other family or personal reasons, whether or not they were paid for the time off or were seeking other jobs. Each employed person is counted only once, even if he or she holds more than one job.

Unemployed persons are all persons who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the 4 week-period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed.

The unemployment rate is the unemployed percent of the civilian labor force [100 times (unemployed/civilian labor force)].

For more details, see the release's frequently asked questions.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

In any society, the human element represents the basis of the work force which exercises all the service and production activities. Therefore, it is a mandate to produce labor force statistics and studies, that is related to the growth and distribution of manpower and labor force distribution by different types and characteristics.

In this context, the Central Agency for Public Mobilization and Statistics conducts "Quarterly Labor Force Survey" which includes data on the size of manpower and labor force (employed and unemployed) and their geographical distribution by their characteristics.

By the end of each year, CAPMAS issues the annual aggregated labor force bulletin publication that includes the results of the quarterly survey rounds that represent the manpower and labor force characteristics during the year.

---> Historical Review of the Labor Force Survey:

1- The First Labor Force survey was undertaken in 1957. The first round was conducted in November of that year, the survey continued to be conducted in successive rounds (quarterly, bi-annually, or annually) till now.

2- Starting the October 2006 round, the fieldwork of the labor force survey was developed to focus on the following two points: a. The importance of using the panel sample that is part of the survey sample, to monitor the dynamic changes of the labor market. b. Improving the used questionnaire to include more questions, that help in better defining of relationship to labor force of each household member (employed, unemployed, out of labor force ...etc.). In addition to re-order of some of the already existing questions in much logical way.

3- Starting the January 2008 round, the used methodology was developed to collect more representative sample during the survey year. this is done through distributing the sample of each governorate into five groups, the questionnaires are collected from each of them separately every 15 days for 3 months (in the middle and the end of the month)

4- Starting the January 2012 round, in order to follow the international recommendation, to avoid asking extra questions that affect the precision and accuracy of the collected data, a shortened version of the questionnaire was designed to include the core questions that enable obtaining the basic Egyptian labor market indicators. The shortened version is collected in two rounds (January-March), (April-June), and (October-December) while the long version of the questionnaire is collected in the 3rd round (July-September) that includes more information on housing conditions and immigration.

---> The survey aims at covering the following topics:

1- Measuring the size of the Egyptian labor force among civilians (for all governorates of the republic) by their different characteristics. 2- Measuring the employment rate at national level and different geographical areas. 3- Measuring the distribution of employed people by the following characteristics: Gender, age, educational status, occupation, economic activity, and sector. 4- Measuring unemployment rate at different geographic areas. 5- Measuring the distribution of unemployed people by the following characteristics: Gender, age, educational status, unemployment type “ever employed/never employed”, occupation, economic activity, and sector for people who have ever worked.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

---> Sample Design and Selection

At the beginning of the first quarter in 2018 (January-March),the sample design was developed. sample size was withdrawn 50% of the (panel households) visited in the same quarter last year and 50% of the sample size (new households) visited for the first time, as well as to divide the sample of each governorate into six parts instead of five , in addition to Develop research questions according to the goals of Nineteenth Congress of Labor Statistics held at Geneva in 2013, therefore new questions to measure informal employment and the informal sector. An application for the new questionnaire has been designed and implemented on the tablet, Entry application has been designed for the new questionnaire so that the question will be completed on the field and then The data is entered through the researchers at the offices, correcting the errors first-hand and returning to the family again and sending data daily.

The sample of Labor Force Survey is a two-stage stratified cluster sample and selfweighted to the extent practical.

The main elements of the sampling design are described as follows:

• Sample Size The sample size in each quarter is 22,500 households with a total number of 80825 households . These households are distributed on the governorate level (urban/rural), according to the estimated number of households in each governorate in accordance with the percentage of urban and rural population in each governorate.

• Cluster size The cluster size is 18 households.

• Sampling stages:

  (1) Primary Sampling Unit (PSU): The 2006 Population Census provided sufficient data at the level of the Enumeration Area (EA). Hence, the electronic list of EA's represented the frame of the first stage sample; in which the corresponding number of households per EA was taken as a measure of size. The size of an EA is almost 200 households on average, with some variability expected. The size of first stage national sample was estimated to be 5,024 EA.

  (2) Sample Distribution by Governorate: The primary stratifying variable is the governorate of residence, which in turn is divided into urban and rural sub-strata, whenever applicable.

  (3) First Stage Sample frame: The census lists of EAs for each substratum, associated with the corresponding number of households, constitute the frame of the first stage sample. The identification information appears on the EA's list includes the District code, Shiakha/Village code, Census Supervisor number, and Enumerator number. Prior to the selection of the first stage sample, the frame was arranged to provide implicit stratification with regard to the geographic location. The urban frame of each governorate was ordered in a serpentine fashion according to the geographic location of kism/ district capitals. The same sort of ordering was made on the rural frame, but according to the district location. The systematic selection of EA's sample from such a sorted frame will ensure a balanced spread of the sample over the area of respective governorates. The sample was selected with Probability Proportional to Size (PPS), with the number of census households taken as a Measure of Size (MOS).

  (4) Core Sample allocation The core sample EAs (5,024) were divided among the survey 4 rounds, each round included 1,271 EAs (546 in urban areas and 725 in rural areas).

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire design follows the latest International Labor Organization (ILO) concepts and definitions of labor force, employment, and unemployment.

The questionnaire comprises 4 tables in addition to the identification and geographic data of household on the cover page.

---> Table 1- The housing conditions of the households

This table includes information on the housing conditions of the household: - Type of the dwelling, - Tenure of the dwelling (owned/rent) , - Availability of facilities and services connected to the house - Ownership of durables.

---> Table 2- Demographic and employment characteristics and basic data for all household individuals

Including: gender, age, educational status, marital status, residence mobility and current work status

---> Table 3- Employment characteristics table

This table is filled by employed individuals at the time of the survey or those who were engaged to work during the reference week, and provided information on: - Relationship to employer: employer, self-employed, waged worker, and unpaid family worker - Economic activity - Sector - Occupation - Effective working hours - Health and social insurance - Work place - Contract type - Average monthly wage

---> Table 4- Unemployment characteristics table

This table is filled by all unemployed individuals who satisfied the unemployment criteria, and provided information on: - Type of unemployment (unemployed, unemployed ever worked) - Economic