The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

This dataset contains annual average CES data for California statewide and areas from 1990 - 2023. The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States. CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

Employment: NF: WW: Private data was reported at 61,442.000 Person th in Jun 2018. This records an increase from the previous number of 61,051.000 Person th for May 2018. Employment: NF: WW: Private data is updated monthly, averaging 41,860.500 Person th from Jan 1964 (Median) to Jun 2018, with 654 observations. The data reached an all-time high of 61,442.000 Person th in Jun 2018 and a record low of 14,296.000 Person th in Jan 1964. Employment: NF: WW: Private 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.G028: Current Employment Statistics Survey: Employment: Women Worker: Non Farm.

This study contains data on the working conditions of 1,455 workers aged 16 and older who were working for pay for 20 or more hours per week in the United States in the period 1972-1973. This survey is the second undertaken by the investigators to provide an overview of working conditions in the American labor force. The aims of this survey and many of the questions that were asked were comparable to those of the related collection, SURVEY OF WORKING CONDITIONS, 1969-1970 (ICPSR 3507). Among the major aims of this survey were: (1) assessment of the frequency and severity of work-related problems experienced by employed people in general and by major demographic and occupational subgroups, (2) identification of major demographic or occupational groups that were most affected by these problems, (3) development of valid measures of job satisfaction suitable for use with samples of workers in heterogenous occupations and under a variety of conditions, (4) assessment of the impact of working conditions upon the well-being of workers, especially their physical and mental well-being, and (5) establishment of normative statistics that might permit other investigators to compare their data from more limited subsamples of workers with national norms. The major measures used in both surveys were the frequency and severity of labor standards problems, the quality of employment indicators that were shown to be predictors of job satisfaction, the job satisfaction indices themselves, and the ratings of important job facets. Respondents were asked questions about many facets of their job situations and other areas of their lives that might be affected by their jobs in order to assess the impact of work on them. Questions included job tension, security, physical health, job satisfaction, and financial well-being. A series of questions regarding job expectations were also asked. Additional questions probed respondents' feelings about their relationship with their supervisors and their overall contentment with their jobs and with life in general. This survey differs from the earlier survey in the greater emphasis that was placed on questions related to respondents' physical health, drinking habits, and career development. The structured interview schedule contained both closed and open-ended questions. Many of the open-ended questions were directed at estimating the frequency and type of labor standards problems, such as those with unions, discrimination, physical working conditions, wages, and work schedules. Demographic variables provide information on age, sex, race, education, and income.

Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States.

CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services.

The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

The Skills Survey is a series of nationally representative sample surveys of individuals in employment aged 20-60 years old (since 2006, the surveys have additionally sampled those aged 61-65). The surveys aim to investigate the employed workforce in Great Britain. Although they were not originally planned as part of a series and had different funding sources and objectives, continuity in questionnaire design has meant the surveys now provide a unique, national representative picture of change in British workplaces as reported by individual job holders. This allows analysts to examine how various aspects of job quality and skill levels have changed over 30 years.The first surveys in the series were carried out in 1986 and 1992. These surveys also form part of this integrated data series, and are known as the Social Change and Economic Life Initiative (SCELI) and Employment in Britain (EIB) studies respectively.

The 1997 survey was the first to collect primarily data on skills using the job requirements approach. This focused on collecting data on objective indicators of job skill as reported by respondents. The 2001 survey assessed how much had changed between the two surveys and a third survey in 2006 enhanced the time series data, while providing a resource for analysing skill and job requirements in the British economy at that time. The 2012 survey aimed to again add to the time series data and, coinciding as it did with a period of economic recession, to provide insight into whether workers in Britain felt under additional pressure/demand from employers as a result of redundancies and cut backs. In addition, a series dataset, covering 1986, 1992, 1997, 2001, 2006 and 2012 is also available . A follow-up to the 2012 survey was conducted in 2014, revisiting respondents who had agreed to be interviewed again. The 2017 survey was the seventh in the series, designed to examine to what extent pressures had continued as a result of austerity and economic uncertainties triggered, for example, by Brexit as well as examining additional issues such as productivity, fairness at work and the retirement intentions of older workers.

Each survey comprises a large number of respondents: 4,047 in the 1986 survey; 3,855 in 1992; 2,467 in 1997; 4,470 in 2001; 7,787 in 2006; 3,200 in 2012; and 3,306 in 2017.

The Skills and Employment Survey 2012: Follow-up Survey, 2014 (SES2012_R) is a longitudinal follow-up survey from a re-interviewed sample of respondents to the SES2012(SN 7466). SES2012 objectives included the comparison of key aspects of workers' experiences of their jobs with past patterns and to provide insights into how the British workforce felt the direct aftermath of the Great Recession.

From 2,497 respondents in SES2012 who agreed to be re-interviewed, 1,108 follow-up interviews were completed approximately two years after the baseline, in the period from January-August 2014. SES2012_R's purpose was to analyse change in key work-related items at the level of individuals since the baseline. The questionnaire follows up on job classification and skills, detailed nature of the job, ICT usage on the job, the organisation working for, the job since the baseline interview, training since the baseline, well-being at work, and basic time-variant demographic characteristics.

Further information is available from the Skills and Employment Survey 2012 webpage and the Project 2.5 Good Jobs, Bad Jobs: A Longitudinal Analysis webpage.

The 2020 Public Service Employee Survey (PSES) was administered by Advanis, on behalf of the Office of the Chief Human Resources Officer, Treasury Board of Canada. This comprehensive survey measured federal government employees’ opinions about their engagement, leadership, workforce, workplace, workplace well-being, compensation, diversity and inclusion, and the impacts of COVID-19. The 2020 Public Service Employee Survey was conducted from November 30, 2020 to January 29, 2021. A total of 188,786 employees in 87 federal departments and agencies responded to the 2020 Public Service Employee Survey, for a response rate of 61%. The 2020 Public Service Employee Survey datasets contain the results of the survey by year (2020, 2019 and 2018) for the Public Service and departments/agencies, and the results broken down by demographic characteristics (e.g., age, gender) and organizational units. Results for 2019 and 2018 are only provided for questions repeated in the 2020 Public Service Employee Survey.

Employment: NF: sa: RT: SG: SJ: Sewing, Needlework, & Piece Goods data was reported at 34.600 Person th in Mar 2025. This records an increase from the previous number of 34.200 Person th for Feb 2025. Employment: NF: sa: RT: SG: SJ: Sewing, Needlework, & Piece Goods data is updated monthly, averaging 50.200 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 71.400 Person th in Feb 1992 and a record low of 27.700 Person th in Apr 2020. Employment: NF: sa: RT: SG: SJ: Sewing, Needlework, & Piece Goods data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G060: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.

The Current Employment Statistics (CES) program produces detailed industry estimates of employment, hours, and earnings of workers on nonfarm payrolls. CES State and Metro Area produces data for all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, and about 450 metropolitan areas and divisions. Each month, CES surveys approximately 142,000 businesses and government agencies, representing 689,000 individual worksites. For more information and data, visit: https://www.bls.gov/sae/

In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 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.

Annual employee and employment estimates for Great Britain and UK split by broad industry group Standard Industrial Classification: SIC 2007. Results given by full-time or part-time and public or private splits.

BRES is the definitive source of official employee statistics and can be used to derive employment estimates at varying industrial and geographical levels.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: BRES

Employment: NF: sa: NR: MG: CM: Underground Coal Mining data was reported at 23.800 Person th in Mar 2025. This records a decrease from the previous number of 23.900 Person th for Feb 2025. Employment: NF: sa: NR: MG: CM: Underground Coal Mining data is updated monthly, averaging 40.400 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 79.800 Person th in May 1990 and a record low of 18.800 Person th in Apr 2020. Employment: NF: sa: NR: MG: CM: Underground Coal Mining data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.

Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Jun 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

The aim of the survey – to produce and publish statistical information on employment, based on population survey data; to estimate the number of employed and unemployed persons, their distribution by age, sex, place of residence, economic activity, major occupational group, education, activity, employment and unemployment rates. The survey is conducted using a sampling method. Every quarter, approximately 0.5 per cent of the population aged 15 and older are interviewed; the results are recalculated for the total population.

Graph and download economic data for All Employees, Federal (CES9091000001) from Jan 1939 to Jun 2025 about establishment survey, federal, government, employment, and USA.

Employment: NF: sa: RT: GS: Gasoline Stations data was reported at 990.900 Person th in Mar 2025. This records an increase from the previous number of 990.000 Person th for Feb 2025. Employment: NF: sa: RT: GS: Gasoline Stations data is updated monthly, averaging 906.400 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 990.900 Person th in Mar 2025 and a record low of 816.500 Person th in Mar 2010. Employment: NF: sa: RT: GS: Gasoline Stations data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G060: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.

Current Employment by Industry (CES) data reflect jobs by "place of work." It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the county or the metropolitan area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area.