In 2025, it was estimated that over 163 million Americans were in some form of employment, while 4.16 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

In the United States, private nonfarm payroll employment increased by around 38,000 in August 2025 compared to the previous month. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: August 2025 (preliminary values at the state and county level) The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor force Data obtained from the U.S. Bureau of Labor Statistics. Data downloaded: October 1, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNation Data Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS"s county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties. To better understand the different labor force statistics included in this map, see the diagram below from BLS:

The most recent statewide occupational estimates available. Produced in cooperation with the United States Bureau of Labor Statistics (BLS).

In the United States, approximately 7.75 million people were unemployed and looking for work in August 2025. The data has not been seasonally adjusted. For comparison, a look at the unemployment rate in EU states shows that the EU average is higher than the U.S. average.

In August 2025, the number of job losers and persons who completed temporary jobs in the United States stood at about 3.4 million and is used when analyzing non-seasonal trends. The monthly unemployment rate can be found here.

Private businesses in the United States hired 42 thousand workers in October of 2025 compared to -29 thousand in September of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The most recent occupational estimates for Kentucky’s ten Local Workforce Areas.

Job Offers in the United States increased to 7227 Thousand in August from 7208 Thousand in July of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment 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 All Employees, Total Private (USPRIV) from Jan 1939 to Sep 2025 about headline figure, establishment survey, private industries, private, employment, industry, and USA.

The AI Job Posting Trends dataset offers a detailed look into the global artificial intelligence job market. It is synthetically generated to reflect possible trends in hiring, compensation, and role requirements for AI-related positions from 2019-2023.

This dataset includes 18 columns and thousands of records representing job postings across various regions, industries, and company sizes. It provides valuable fields such as job title, required skills, salary in USD, remote work ratio, and company details.

This dataset is ideal for: Data visualization, Exploratory Data Analysis (EDA), ML experiments or Create engaging reports for non-technical audiences to explain industry trends.

Note All data in this file is synthetic and generated for educational, research, and demonstration purposes. It does not reflect real individuals, companies, or postings.

Abstract

Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp)

Analysis unit

Household, Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of this survey is implemented periodically every quarter by PCBS since 1995, where this survey is implemented every quarter in the year (distributed over 13 weeks). The sample is a two-stage stratified cluster sample with two stages: First stage: selection of a stratified sample of 536 EA with (pps) method. Second stage: selection of a random area sample of 15 households from each enumeration area selected in the first stage. The estimated sample size infirst quarter was 8,040 households in 2023.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The lfs questionnaire consists of four main sections: Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate was 86.2% in the first quarter 2023

Sampling error estimates

Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and at the level of governorates of the West Bank and Gaza Strip.

Data appraisal

The concept of data quality encompasses various aspects, started with planning of the survey to how to publish, understand and benefit from the data. The most important components of statistical quality elements are accuracy, comparability and quality control procedures

Non Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

India Part Time Employment: % of Total Employment data was reported at 23.990 % in 2023. This records an increase from the previous number of 20.850 % for 2022. India Part Time Employment: % of Total Employment data is updated yearly, averaging 18.080 % from Dec 2018 (Median) to 2023, with 6 observations. The data reached an all-time high of 23.990 % in 2023 and a record low of 14.440 % in 2019. India Part Time Employment: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Employment and Unemployment. Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.;International Labour Organization. “Wages and Working Time Statistics database (COND)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;Relevance to gender indicator: More and more women are working part-time and one of the concern is that part time work does not provide the stability that full time work does.

View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…

Employment in industry (% of total employment) (modeled ILO estimate) in Niger was reported at 7.1301 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Niger - Employment in industry (% of total employment) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Bolivia BO: Employment In Agriculture: Modeled ILO Estimate: % of Total Employment data was reported at 24.351 % in 2023. This records a decrease from the previous number of 24.808 % for 2022. Bolivia BO: Employment In Agriculture: Modeled ILO Estimate: % of Total Employment data is updated yearly, averaging 35.083 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 44.202 % in 2001 and a record low of 24.351 % in 2023. Bolivia BO: Employment In Agriculture: Modeled ILO Estimate: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Employment and Unemployment. Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

Between 2023 and 2027, the majority of companies surveyed worldwide expect big data to have a more positive than negative impact on the global job market and employment, with ** percent of the companies reporting the technology will create jobs and * percent expecting the technology to displace jobs. Meanwhile, artificial intelligence (AI) is expected to result in more significant labor market disruptions, with ** percent of organizations expecting the technology to displace jobs and ** percent expecting AI to create jobs.