100+ datasets found
  1. Quality of Employment Survey, 1977: Cross-Section

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
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    Quinn, Robert P.; Staines, Graham (1992). Quality of Employment Survey, 1977: Cross-Section [Dataset]. http://doi.org/10.3886/ICPSR07689.v1
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    sas, ascii, spssAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Quinn, Robert P.; Staines, Graham
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7689/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7689/terms

    Time period covered
    1977
    Area covered
    United States
    Description

    This study contains data on the working conditions of 1,515 workers aged 16 and older who were working for pay for 20 or more hours per week in the United States in 1977. This survey is the third 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 collections, SURVEY OF WORKING CONDITIONS, 1969-1970 (ICPSR 3507), and QUALITY OF EMPLOYMENT SURVEY, 1972-1973 (ICPSR 3510). The major measures used in each of the three 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 was also asked. Additional questions probed respondents' feelings about their overall contentment with their jobs and with life in general. This survey differs from the earlier surveys in the greater emphasis that was placed on questions related to respondents' feelings about their work culture, physical work environment, discrimination at work, job fringe benefits, and labor unions, as well as child care provisions, nature of time spent with children and spouse, use of leisure time, and electoral participation. Demographic variables provide information on age, sex, marital status, race, education, and income.

  2. Data from: Occupational Employment Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States Department of Labor. Bureau of Labor Statistics (2015). Occupational Employment Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36219
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36219/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36219/terms

    Area covered
    Virgin Islands of the United States, United States, Puerto Rico, Guam
    Description

    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.

  3. d

    Current Employment Statistics (CES), Annual Average

    • catalog.data.gov
    • data.ca.gov
    • +2more
    Updated Jul 23, 2025
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    California Employment Development Department (2025). Current Employment Statistics (CES), Annual Average [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-annual-average-1990-2019
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Employment Development Department
    Description

    This dataset contains annual average CES data for California statewide and areas from 1990 to 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.

  4. Skills and Employment Survey 2012: Follow-up Survey, 2014

    • beta.ukdataservice.ac.uk
    Updated 2017
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    F. Green; D. Gallie; G. Henseke; A. Felstead (2017). Skills and Employment Survey 2012: Follow-up Survey, 2014 [Dataset]. http://doi.org/10.5255/ukda-sn-8264-1
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    Dataset updated
    2017
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    F. Green; D. Gallie; G. Henseke; A. Felstead
    Description

    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.

  5. d

    Department of Labor, Office of Research (Current Employment Statistics NSA...

    • catalog.data.gov
    • data.ct.gov
    • +4more
    Updated Aug 9, 2024
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    data.ct.gov (2024). Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current) [Dataset]. https://catalog.data.gov/dataset/department-of-labor-office-of-research-current-employment-statistics-nsa-1990-current
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    Dataset updated
    Aug 9, 2024
    Dataset provided by
    data.ct.gov
    Description

    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.

  6. Business Register and Employment Survey, 2009-2022: Secure Access

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Office For National Statistics (2024). Business Register and Employment Survey, 2009-2022: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-7463-13
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office For National Statistics
    Description

    The Business Register and Employment Survey (BRES) is the official source of employee and employment estimates by detailed geography and industry. It is also used to update the Inter-Departmental Business Register (IDBR), the main sampling frame for business surveys conducted by the Office for National Statistics (ONS), with information on the structure of businesses in the UK.

    The survey collects employment information from businesses across the whole of the UK economy for each site that they operate. This allows the ONS to produce employee and employment estimates by detailed geography and industry split by full-time/part-time workers and whether the business is public/private.

    The ONS produces a number of different measures of employment including Workforce Jobs and the Annual Population Survey/Labour Force Survey. However, BRES is the recommended source of information on employment by detailed geography and industry.

    The BRES has two purposes: collecting data to update local unit information and business structures on the IDBR, and producing published annual employment statistics.

    The BRES sample does not include Northern Ireland. Northern Ireland data are received direct from the Northern Ireland Department of Enterprise, Trade and Investment (DETINI) which are used to create UK estimates. The UK Data Archive holds data only for Great Britain.

    The BRES replaced the Annual Business Inquiry, Part 1 (ABI/1) in 2009. ABI/1 data for 2009 and earlier are held as part of the Annual Respondents Database under UK Data Archive SN 6644.

    Change in sampling from 2015-2016
    In 2015, ONS made a strategic decision to include business units with a single PAYE code for which VAT data are available. Prior to 2015, such units were excluded from the sampling frame and therefore not estimated for in ONS outputs. So from January 2016, the coverage of BRES was extended to include a population of solely PAYE based businesses. This improvement in coverage is estimated to have increased the business survey population by around 100,000 businesses, with a total of around 300,000 employment and 200,000 employees between December 2015 and January 2016. The increase in business population has led to an increase in the estimate of employment and employees for the 2015 dataset. Further information is available in documentation file '7463_bres_2015_change_in_firm_sampling.pdf'.

    Linking to other business studies
    These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

    For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

    Latest edition information
    For the thirteenth edition (February 2024), the 'revised 2021' and 'provisional 2022' data files have been added.

  7. Quarterly Employment Survey: December 2024

    • gov.uk
    Updated Mar 20, 2025
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    Northern Ireland Statistics and Research Agency (2025). Quarterly Employment Survey: December 2024 [Dataset]. https://www.gov.uk/government/statistics/quarterly-employment-survey-december-2024
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    Dataset updated
    Mar 20, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Northern Ireland Statistics and Research Agency
    Description

    The report is produced by the Economic and Labour Market Statistics Branch which is part of the Northern Ireland Statistics and Research Agency (NISRA). It is published on a quarterly basis for Northern Ireland.

  8. U

    United States Employment: NF: RT: GM: SH: OS: Gift, Novelty, & Souvenir

    • ceicdata.com
    Updated May 13, 2025
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    CEICdata.com (2025). United States Employment: NF: RT: GM: SH: OS: Gift, Novelty, & Souvenir [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-payroll
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    Dataset updated
    May 13, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Variables measured
    Employment
    Description

    Employment: NF: RT: GM: SH: OS: Gift, Novelty, & Souvenir data was reported at 113.400 Person th in Mar 2025. This records a decrease from the previous number of 116.100 Person th for Feb 2025. Employment: NF: RT: GM: SH: OS: Gift, Novelty, & Souvenir data is updated monthly, averaging 190.000 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 294.900 Person th in Dec 2000 and a record low of 64.800 Person th in Apr 2020. Employment: NF: RT: GM: SH: OS: Gift, Novelty, & Souvenir 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.G056: Current Employment Statistics: Employment: Non Farm Payroll.

  9. Business Register and Employment Survey - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 11, 2013
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    ckan.publishing.service.gov.uk (2013). Business Register and Employment Survey - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/business_register_and_employment_survey
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    Dataset updated
    Mar 11, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Employee Jobs at Sub Northern Ireland level and by Industry. Source agency: Northern Ireland Statistics and Research Agency Designation: National Statistics Language: English Alternative title: Business Register and Employment Survey

  10. e

    Skills and Employment Survey, 2012 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 31, 2023
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    (2023). Skills and Employment Survey, 2012 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/30695018-ee5e-522a-aef5-2244077b3128
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    Dataset updated
    Oct 31, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.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 four specific objectives for the Skills and Employment Survey, 2012 (SES2012), stemming from the overarching aim to provide data on the skills and employment experiences of working life in Britain in 2012, were as follows:to describe and analyse the level and distribution of skills requirements of jobs in British workplaces in 2012 and compare these patterns with earlier data pointsto describe and analyse the level and distribution of key aspects of workers' experiences of their jobs in 2012, and compare with earlier data pointsto use the data to develop distinctive, original and substantive contributions to scholarship surrounding job quality and job skillto make the data available and provide the necessary data support and infrastructure for further analysis by academic or policy-based researchers in the field of skills and job qualityFurther information is available from the Skills and Employment Survey 2012 web page. A follow-up survey was conducted in 2014 (see SN 8264), where respondents to SES2012 were revisited to gather information on their skills and employment experiences since 2012. A Special Licence access version of this study including finer detailed geographical variables (Travel-to-Work Areas, or TTWA), is available under SN 7645. For the second edition (May 2014) an updated version of the data file and the accompanying Technical Briefing document. The depositor has provided the following advice: "Users are altered to errors recently detected in the 4-digit coding of SOC (both 2000 and 2010 versions). This has resulted in further changes to the coding of SOC2000 at 3, 2 and 1-digits as well as amendments to the weighting variables which are partly based on SOC (weightall and weight0612)." The Skills and Employment Survey series dataset, held under SN 7467, has also been updated accordingly. Main Topics: The SES2012 questionnaire covers questions on:job classification and skillsdetailed analysis of the nature of the jobcomputing skills and qualificationswork attitudesthe organisation working forpaythe job five years agorecent skills changes and future perspectiveswell-being at workdemographic characteristics Multi-stage stratified random sample Face-to-face interview

  11. Local authority district – Business Register and Employment Survey (BRES):...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 4, 2024
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    Office for National Statistics (2024). Local authority district – Business Register and Employment Survey (BRES): Table 6 [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/localauthoritydistrictbusinessregisterandemploymentsurveybrestable6
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    xlsxAvailable download formats
    Dataset updated
    Nov 4, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Annual employee and employment estimates for the UK split by local authority district. Results given by full-time or part-time and public or private splits.

  12. Annual Employment Survey - 1983 - Sri Lanka

    • nada.statistics.gov.lk
    • catalog.ihsn.org
    • +1more
    Updated Jan 24, 2023
    + more versions
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    Statistics Division - Department of Labour (2023). Annual Employment Survey - 1983 - Sri Lanka [Dataset]. https://nada.statistics.gov.lk/index.php/catalog/401
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Department of Employment and Labourhttp://www.labour.gov.za/
    Authors
    Statistics Division - Department of Labour
    Time period covered
    1983
    Area covered
    Sri Lanka
    Description

    Abstract

    The Annual Employment Survey of Sri Lanka conducted by the Department of Labour has been designed to measure the levels and trends of the private sector and semi-government sector employment of the country over a periopd of time. The main objective of the survey is to collect employment related information in the organised sector establishments in the country.

    Geographic coverage

    National coverage

    Although this is a national level survey, coverage of Nothern and Estern provinces was not at a sufficient level of response due to the prevailing situation in this area.

    The coverage was also limited because of the fact that there was no complete list of establishments for the whole country at the time of the survey.

    Analysis unit

    The survey covers establishments in both Public and Private sectors.

    Universe

    The survey covered establishments with five or more paid employees in private sector and also semi-government institutions in public sector.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A complete list of establishments ( survey frame ) was available at the time of the first survey started in 1971. This list was compiled along with the list of buildings in the country prepared for the Census of Population and Housing 1971. There were about 22,500 establishments with 5 or more paid employees and thereafter this survey frame was updated annually, taking new registrations from the Employees Provident Fund lists.

    Construction of indices: Index numbers of employment are calculated with 1971 as the base year, and using the link relative method. Indices are computed for each major industry division,

    Weighting of sample results: The employment estimates are not weighted

    Adjustments: Non response : there are no adjustments for non response Other bias : no adjustments have been made for any other bias. Use of bench mark data : none Seasonal variations : not relevant

    Indicators of reliability of the estimates : Coverage of the sampling frame : coverage is limited, as there is no complete list of establishments for the whole country. Sampling error/Sampling variance : not relevant Non response rate :

    Non sampling errors : the main known source of bias is the limited coverage of the survey due to the lack of a complete list of establishments for the whole country.

    Sampling deviation

    The coverage of the survey was badly affected due to the limiting factors such as the non availability of a complete list of establishments for the whole country and the nature of the method of data collection (postal survey method).

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The questionnaire used in the Annual Employemnet Survey consists of three main parts.

    They are : 1. Establishment particulars 2. Classification of employees 3. Occupational category

    The questionnaire was printed in Sinhala, Tamil and English.

    Cleaning operations

    An edit program was run to edit the raw data files.

    Depending on the absence or presence of errors, the records in the raw data file were seperated into an error free file and a rejects file respectively. From the rejects file, a error report was generated indicating the reason for rejection of each record. The errors were checked and manually corrected on the report by referring to the questionnaire. Based on the corrected report, error records were updated by data entry operators.

    The edit program was run again to edit the rejects file and the error free records were added to the error free file. If the rejects file was not empty the edit process was repeated.

  13. d

    Data from: Occupational Employment and Wage Statistics

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Jul 5, 2025
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    data.ny.gov (2025). Occupational Employment and Wage Statistics [Dataset]. https://catalog.data.gov/dataset/occupational-employment-statistics
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    Dataset updated
    Jul 5, 2025
    Dataset provided by
    data.ny.gov
    Description

    The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.

  14. Business Register Employment Survey

    • data.europa.eu
    • data.wu.ac.at
    html
    Updated Sep 28, 2021
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    Office for National Statistics (2021). Business Register Employment Survey [Dataset]. https://data.europa.eu/data/datasets/business_register_employment_survey
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    htmlAvailable download formats
    Dataset updated
    Sep 28, 2021
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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

  15. g

    Employment survey | gimi9.com

    • gimi9.com
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    Employment survey | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-data-gov-lt-datasets-678-/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  16. e

    Data from: Business Register and Employment Survey

    • data.europa.eu
    • data.wu.ac.at
    html
    Updated Dec 13, 2023
    + more versions
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    North Yorkshire County Council (2023). Business Register and Employment Survey [Dataset]. https://data.europa.eu/data/datasets/business-register-and-employment-survey/embed
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    htmlAvailable download formats
    Dataset updated
    Dec 13, 2023
    Dataset authored and provided by
    North Yorkshire County Council
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    The Business Register and Employment Survey publishes employee and employment estimates at detailed geographical and industrial levels. It is regarded as the definitive source of official government employee statistics by industry. These maps allow a visually more meaningful comparison of employee levels by Broad industrial Group over time.

  17. F

    All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/MANEMP
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

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

  18. Business Register and Employment Survey (BRES) revised 2019 and provisional...

    • gov.uk
    • s3.amazonaws.com
    Updated Nov 9, 2021
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    Office for National Statistics (2021). Business Register and Employment Survey (BRES) revised 2019 and provisional 2020 estimates [Dataset]. https://www.gov.uk/government/statistics/business-register-and-employment-survey-bres-revised-2019-and-provisional-2020-estimates
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    Dataset updated
    Nov 9, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  19. National Occupation and Employment Survey (ENOE), 2011 - Mexico

    • microdata.worldbank.org
    Updated Aug 1, 2025
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    IPUMS (2025). National Occupation and Employment Survey (ENOE), 2011 - Mexico [Dataset]. https://microdata.worldbank.org/index.php/catalog/7728
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    Dataset updated
    Aug 1, 2025
    Dataset provided by
    National Institute of Statistics and Geographyhttp://www.inegi.org.mx/
    IPUMS
    Time period covered
    2011
    Area covered
    Mexico
    Description

    Analysis unit

    Persons

    UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: no - Individuals: yes - Group quarters: yes

    UNIT DESCRIPTIONS: - Dwellings: Space that is delimited, generally by walls and ceilings of any material, with an independent entrance, and used for inhabitation. That is, being used for preparing food, eating, and protecting oneself from the environment. - Households: Group formed by one or more people who habitually reside in the same dwelling and support themselves through common expenses, mainly to feed themselves, who may or may not be related to each other. - Group quarters: Premises intended to provide accomodation to groups of people who are subject to rules for co-residence and behavior due to reasons of health, education, discipline, rehabilitation, religion, work, social assistance and lodging, among others.

    Universe

    The population residing permanently in private dwellings within Mexico. The employment questionnaire is applied to household members age 12 and over.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    MICRODATA SOURCE: Instituto Nacional de Estadística, Geografía e Informática (INEGI)

    SAMPLE SIZE (person records): ~120,000.

    SAMPLE DESIGN: Two-stage cluster sample with stratification of the primary sampling units. The primary sampling units are groups of dwellings with specific characteristics depending if these are located in urban, urban complement, or rural areas. Stratification is based on urbanization and sociodemographic indicators.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The survey includes a sociodemographic questionnaire for all household residents and an employment questionnaire for persons age 12 or older. Two types of employment questionnaires: basic (short) and extended (long), which are used in different quarters (see details)

  20. e

    Quarterly Employment Survey (Northern Ireland)

    • data.europa.eu
    html
    Updated Jun 26, 2024
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    Department of Enterprise Trade and Investment (2024). Quarterly Employment Survey (Northern Ireland) [Dataset]. https://data.europa.eu/data/datasets/quarterly_employment_survey_northern_ireland/embed
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    htmlAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Department of Enterprise Trade and Investment
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    Northern Ireland
    Description

    Quarterly Northern Ireland Employee Jobs series.

    Source agency: Enterprise, Trade and Investment (Northern Ireland)

    Designation: National Statistics

    Language: English

    Alternative title: Quarterly Employment Survey (Northern Ireland)

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Quinn, Robert P.; Staines, Graham (1992). Quality of Employment Survey, 1977: Cross-Section [Dataset]. http://doi.org/10.3886/ICPSR07689.v1
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Quality of Employment Survey, 1977: Cross-Section

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9 scholarly articles cite this dataset (View in Google Scholar)
sas, ascii, spssAvailable download formats
Dataset updated
Feb 16, 1992
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Quinn, Robert P.; Staines, Graham
License

https://www.icpsr.umich.edu/web/ICPSR/studies/7689/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7689/terms

Time period covered
1977
Area covered
United States
Description

This study contains data on the working conditions of 1,515 workers aged 16 and older who were working for pay for 20 or more hours per week in the United States in 1977. This survey is the third 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 collections, SURVEY OF WORKING CONDITIONS, 1969-1970 (ICPSR 3507), and QUALITY OF EMPLOYMENT SURVEY, 1972-1973 (ICPSR 3510). The major measures used in each of the three 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 was also asked. Additional questions probed respondents' feelings about their overall contentment with their jobs and with life in general. This survey differs from the earlier surveys in the greater emphasis that was placed on questions related to respondents' feelings about their work culture, physical work environment, discrimination at work, job fringe benefits, and labor unions, as well as child care provisions, nature of time spent with children and spouse, use of leisure time, and electoral participation. Demographic variables provide information on age, sex, marital status, race, education, and income.

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