13 datasets found
  1. Private sector employment share in the U.S., by business size 2019

    • statista.com
    Updated Aug 8, 2024
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    Statista (2024). Private sector employment share in the U.S., by business size 2019 [Dataset]. https://www.statista.com/statistics/695424/share-of-private-sector-employment-by-business-size-us/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows the the distribution of private sector employment in the United States in 2019, by size of business. In 2019, 28.4 percent of all workers in the private sector were employed by businesses with over 10,000 employees

  2. e

    Part-time employment

    • data.europa.eu
    excel xlsx
    Updated Oct 12, 2021
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    North Gate II & III - INS (STATBEL - Statistics Belgium) (2021). Part-time employment [Dataset]. https://data.europa.eu/data/datasets/e432c414e3fa8ae0f2a0a380c7ab2a8708516f78?locale=en
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    excel xlsxAvailable download formats
    Dataset updated
    Oct 12, 2021
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    Labour force survey (LFS) Purpose and short description The Labour Force Survey (LFS) is a socio-economic household sample survey. Its main objective is to classify the working age population (15 and older) into three groups (employed, unemployed and inactive persons) and to provide descriptive and explanatory data on every category. This survey is also carried out in the other EU Member States and is coordinated by Eurostat, the statistical office of the European Union. In Belgium, the LFS is organised by Statbel. The objective is to obtain comparable information at European level, in particular as regards employment and unemployment rates as defined by the International Labour Office (ILO), but also to collect and disseminate data that are otherwise not available, for example about the mobility of workers, the reasons for working part-time, the various forms of part-time employment, the occupation, the educational level of the working age population, ... . Survey population Members of private households aged 15 or older. Sample frame Demographic data from the National Register. Data collection method and sample size Data are collected through face-to-face interviews. Since 2017, there have been three (shorter) follow-up surveys to which households respond online or by telephone. Households with only inactive persons older than 64 can also be interviewed by telephone. Every year, around 47,000 households receive a letter asking them to take part in this survey. Response rate The response rate is above 75%. Periodicity Quarterly Release calendar Results availability: around 3 months after the end of the reference period. Forms Labour Force Survey 2020 (PDF, 541 Kb) Labour Force Survey 2021 (PDF, 1 Mb) Definitions Unemployed (ILO): According to the criteria of the International Labour Office, the unemployed include all people aged 15 years and over who: a) were without work during the reference week b) were available for work, i.e. were available for paid employment or self-employment within two weeks after the reference week c) were actively seeking work, i.e. had taken specific steps during the last four weeks including the reference week to seek paid employment or self-employment, or who had found a job to start within a maximum period of three months. Employed population (ILO): The employed comprise all people aged 15 and over who during the reference week performed some work for at least one hour for wage or salary, or for profit, or who had a job but were temporarily absent. For example, one can be temporarily absent for holidays, illness, technical or economic reasons (temporary unemployment),....Family workers are also included in the category ‘employed’. The employed are divided into three groups according to their professional status: Employees: Employees comprise all persons aged 15 and over who during the reference period performed some work (with or without a formal contract) for at least one hour for wage or salary, or who were temporarily not at work during the reference period (because of illness, maternity leave, holidays, social conflict, weather conditions or other reasons) and had a formal attachment to their job. Non-employees: Non-employees comprise all persons who do not work for an employer and who during the reference week performed some work for at least one hour for profit or who were temporarily not at work during the reference period. This includes self-employed people (without employees) and employers (with employees) and unpaid workers. Labour force: The labour force or economically active population (15 years and older) consists of people with an occupation (persons employed) and the unemployed. Unemployment rate: The unemployment rate represents the share of unemployed people in the labour force (employed + unemployed) aged 15 to 64. Employment rate: The employment rate represents the share of employed people in a specific age group (15-64 years old, 20-64 years old,...). Economic activity rate: The economic activity rate represents the share of the labour force (employed and unemployed) in the population aged 15 to 64. Education level (3 classes): Low-skilled people are people who have at most a diploma of lower secondary education. Medium-skilled people are people who obtained a diploma of upper secondary education but not of higher education. Highly-skilled people have a diploma of higher education. Metadata Employment, unemployment, labour market (NL-FR) Labour force survey (LFS) (NL-FR) Survey methodology Modifications to the Labour Force Survey (LFS) in 2021 LFS: Methodological improvements to the Labour Force Survey 2017 (PDF, 99 Kb) LFS: Presentation of the survey until 2016 (NL-FR) LFS: Presentation of the survey from 2017 (NL-FR) Regulations Royal Decree of 10 January 1999 on the organisation of a labour force sample survey (NL-FR) Royal decree amending the royal decree of 10 January 1999 on the organisation of a labour force sample survey (NL-FR)

  3. Mass Layoff Statistics

    • catalog.data.gov
    • gimi9.com
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Mass Layoff Statistics [Dataset]. https://catalog.data.gov/dataset/mass-layoff-statistics-12ff9
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Mass Layoff Statistics (MLS) program collects reports on mass layoff actions that result in workers being separated from their jobs. Monthly mass layoff numbers are from establishments which have at least 50 initial claims for unemployment insurance (UI) filed against them during a 5-week period. Extended mass layoff numbers (issued quarterly) are from a subset of such establishments—where private sector nonfarm employers indicate that 50 or more workers were separated from their jobs for at least 31 days. MLS was eliminated in 2013 under sequestration. For more information and data visit: https://www.bls.gov/mls/

  4. F

    Nonfarm Private Large Payroll Employment (1000+) (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated Jun 2, 2022
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    (2022). Nonfarm Private Large Payroll Employment (1000+) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/NPPTL2
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    jsonAvailable download formats
    Dataset updated
    Jun 2, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Nonfarm Private Large Payroll Employment (1000+) (DISCONTINUED) (NPPTL2) from Jan 2005 to May 2022 about 1000+, large, payrolls, nonfarm, private, employment, and USA.

  5. B

    National Survey of Information Technology Occupations, 2002 [Canada] [Excel...

    • borealisdata.ca
    • dataone.org
    • +1more
    Updated Feb 21, 2024
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    Statistics Canada (2024). National Survey of Information Technology Occupations, 2002 [Canada] [Excel files] [Dataset]. http://doi.org/10.5683/SP3/RQTHKB
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 21, 2024
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/RQTHKBhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/RQTHKB

    Area covered
    Canada
    Description

    The national Survey of Information Technology Occupations, conducted in 2002 on behalf of the Software Human Resource Council (SHRC), is the first to shed light on the IT labour market in both the public and private sectors. IT employers and employees were surveyed separately, but simultaneously. The employer survey consisted of questions on occupation profile, hiring and recruitment, employee retention, and training and development. The employee survey had questions on the occupational history of IT employees, salary, education, training, and skills. The target population consisted of private sector locations with at least six employees, and with at least one employee working in IT, as well as public-sector divisions with at least one IT employee. The NSITO is a three-stage survey. First, a sample of employers in both private and public sectors is selected; this is stage 1. The questions asked in stage 1 are essentially about the IT workforce. Stage 2 involves selecting a maximum of two occupations (out of 25) per employer. The questions asked in this stage deal with hiring, training and retaining employees in the selected occupations. In stage 3, a maximum of 10 employees are sampled for each occupation selected in stage 2. Among the subjects that employees are asked about are training, previous employment and demographic characteristics. For National Survey of Information Technology Occupations data, refer to Statistics Canada.

  6. Number of people employed in the UK 2000-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 10, 2025
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    Statista (2025). Number of people employed in the UK 2000-2025 [Dataset]. https://www.statista.com/statistics/281998/employment-figures-in-the-united-kingdom-uk/
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    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - Apr 2025
    Area covered
    United Kingdom
    Description

    There were over 34 million people employed in the United Kingdom in the three months to April 2025. In general, the number of people employed has consistently increased, with noticeable dips in employment occurring in 2008 due to the global financial crisis, and in 2020 due to the COVID-19 pandemic. Labor market hot streak in 2022 Although there was a sharp increase in the UK's unemployment rate in the aftermath of COVID-19, the UK labor market bounced back forcefully after this sudden shock. By the middle of 2022, the UK's unemployment rate had recovered to pre-pandemic levels, while the number of job vacancies in the UK reached record highs. Wage growth was, by this point, growing at a much slower rate than inflation, which peaked at 11.1 percent in October 2022. In the two years since this peak, the UK labor market has cooled slightly; with unemployment reaching 4.4 percent by December 2024, and the number of job vacancies falling to the lowest figures since May 2021. Characteristics of UK workers As of 2024, the majority of UK workers were working in the private sector, at over 27.6 million workers. In the same year the size of the UK's public sector workforce stood at approximately 6.1 million, with over two million of these people working for the UK's National Health Service (NHS), and a further 1.66 million in the public education sector. In the UK's private sector, the industry sector which employed the most people was wholesale and retail, which had a workforce of over 4.9 million people, followed by administrative and support service roles at around 3.1 million.

  7. U.S. unemployment rate 2025, by industry and class of worker

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). U.S. unemployment rate 2025, by industry and class of worker [Dataset]. https://www.statista.com/statistics/217787/unemployment-rate-in-the-united-states-by-industry-and-class-of-worker/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    United States
    Description

    In April 2025, the agriculture and related private wage and salary workers industry had the highest unemployment rate in the United States, at eight percent. In comparison, government workers had the lowest unemployment rate, at 1.8 percent. The average for all industries was 3.9 percent. U.S. unemployment There are several factors that impact unemployment, as it fluctuates with the state of the economy. Unfortunately, the forecasted unemployment rate in the United States is expected to increase as we head into the latter half of the decade. Those with a bachelor’s degree or higher saw the lowest unemployment rate from 1992 to 2022 in the United States, which is attributed to the fact that higher levels of education are seen as more desirable in the workforce. Nevada unemployment Nevada is one of the states with the highest unemployment rates in the country and Vermont typically has one of the lowest unemployment rates. These are seasonally adjusted rates, which means that seasonal factors such as holiday periods and weather events that influence employment periods are removed. Nevada's economy consists of industries that are currently suffering high unemployment rates such as tourism. As of May 2023, about 5.4 percent of Nevada's population was unemployed, possibly due to the lingering impact of the coronavirus pandemic.

  8. e

    Basic data from Labour Force Survey (LFS) seasonally adjusted

    • data.europa.eu
    unknown
    Updated Jan 23, 2025
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    Główny Urząd Statystyczny (2025). Basic data from Labour Force Survey (LFS) seasonally adjusted [Dataset]. https://data.europa.eu/data/datasets/https-dane-gov-pl-pl-dataset-1974-podstawowe-dane-z-badania-aktywnosci-ekonomicznej/embed?locale=en
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    unknown(0)Available download formats
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Główny Urząd Statystyczny
    Description

    Statistical concepts and definitions (obligatory in 2021):

    Employed persons are all persons aged 15-89 years who during the reference week:

    • performed for at least one hour any work generating pay or income, i.e. were employed in a public company/institution or by a private employer, worked on their own (or leased) agricultural farm, or conducted their own economic activity outside agriculture, assisted (without pay) in work on family agricultural farm or in conducting family economic activity outside agriculture,
    • had work but did not perform it:
      • due to sickness, vacation, parenthood related leave (maternity leave, childcare leave, paternity leave or parental leave), working time arrangement (work system or compensation for overtime hours), training related to the performed work;
      • due to a seasonal nature of work if they continue to regularly perform tasks and duties for the job or business off-season (excluding fulfilment of legal or administrative obligations);for other reasons if the expected period of absence from work does not exceed 3 months.
      • for other reasons if the break in employment does not exceed 3 months.

    In accordance with the international standards - also include apprentices who entered into occupational training or occupational preparation contract with a private or public employer, if they received remuneration.

    The following persons are not included among the employed: voluntary workers or trainees not receiving any pay, persons employed in private agriculture (on farms owned by natural persons) who produce agricultural products exclusively or mainly for their own use.

    Employed persons by the category of status in employment (in accordance with the International Classification of Status in Employment ICSE-93):

    • a self-employed person - a person who conducts his/her own economic activity

    of which

    • employer - a person who conducts his/her own economic activity and employs at least one employee,
    • self-employed person without employees – a person who conducts his/her own economic activity and does not employ any employees,
    • an employee - a person employed in a public entity or by a private employer (on the base of employment contract or civil law contract); among this category there are also included persons performing outwork or apprentices with whom employers or natural persons signed a contract for occupational training or training for a particular job if they receive any pay,
    • a contributing family member - a person who contribute to the conduction of family business without any contractual pay.

    Among self-employed persons are also included agents in all agency systems.

    Unemployed persons - persons aged 15-74 years who simultaneously meet the three conditions:

    • in the reference week were not employed (according to the above definition of this population),
    • were actively looking for work, i.e. had carried out activities in the four week period ending with the reference week to seek paid employment,
    • were available to take up work within two weeks from the end of the reference week.

    Among unemployed persons were also include persons who did not seek work because they had already found a job and were waiting to start work during the period no longer than 3 months and they were available to take up this work.

    Unemployed persons may be classified into one of the four categories:

    • unemployed persons who lost a job, i.e. persons who left their last job not on their own initiative and immediately (i.e. within three months) started seeking a job,
    • unemployed persons who resigned from work, i.e. persons who left work on their own initiative and immediately started seeking a job,
    • unemployed persons who return to work after a break during which they were not seeking a job for at least 3 months,
    • unemployed persons who have never worked and are seeking their first job.

    Economically inactive population i.e. the population staying outside the labour force, are all persons aged 15-89 years who were not classified as employed or unemployed persons, i.e. persons who in the reference week:

    • did not work, neither had a job nor were seeking work,
    • did not work, were seeking a job, albeit not in an active way or were actively seeking work but were not ready (available) to start work within the two weeks following the reference week,
    • neither worked nor were see

  9. i

    Employment and Earnings Survey 2014 - Tanzania, United Republic of

    • webapps.ilo.org
    Updated Mar 24, 2016
    + more versions
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    National Bureau of Statistics (NBS) (2016). Employment and Earnings Survey 2014 - Tanzania, United Republic of [Dataset]. https://webapps.ilo.org/surveyLib/index.php/catalog/1082
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    Dataset updated
    Mar 24, 2016
    Dataset authored and provided by
    National Bureau of Statistics (NBS)
    Time period covered
    2014
    Area covered
    Tanzania
    Description

    Abstract

    The main objective of the 2014 Employment and Earnings Survey was to obtain comprehensive data on the annual status of employment and earnings as well as data on the socio economic characteristics of the labour market

    Geographic coverage

    Tanzania Mainland

    Analysis unit

    Establishment

    Universe

    Formal establishment of both public and private sectors

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Employment and Earnings Survey 2014 sample was based on a sampling frame obtained from the Central Register of Establishments (CRE) maintained by the NBS. The existing sampling frame was developed on the basis of International Standard Industrial Classification Revision 4 (ISIC Rev.4). 10 Employment and Earnings Survey 2013 covered all establishments of public and all private sector establishments employing at least 50 employees. For all private sector establishments employing 5 - 49 employees, multistage sampling technique was used. The first stage within a region included stratification of all private establishments employing 5 - 49 employees into two strata namely 5 - 9 employees and 10 - 49 employees. Then, the sample size for each stratum was developed in each region. Finally, probability proportional to size (PPS) was used to draw the sample within each industry. A similar approach was used in all the 25 regions to draw the sample size across all industrial major divisions in the two strata separately to enhance representation of all economic activities to the economy.

    Sampling deviation

    No deviation from the sample

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Annual Employment and Earnings Survey uses an English Questionnaire which devided into several sections namely, Identification, Regular Employees. Employment and Earnings, Casual Workers, Number of Workers Recruited during the last 12 Months and Job Vacancies.

    Cleaning operations

    After questionnires received to Head Quarters, Labour and Price Statistics Department recruits temporary editors for editing and coding the filled questionnaires before data entered to the computer to continue with further data processing steps. Completion of data entry followed by computer data editing for consistent and data entry error checks.

    Response rate

    The accuracy of the statistical data provided in the tables is dependent on the rate of response, especially where a few establishments are dominant in the industry. On average, the response rate was about 84.2% for Employment and Earnings Survey 2014.

    Sampling error estimates

    No sampling error estimates

    Data appraisal

    No Forms of other Data Appraisal

  10. n

    Employment and Earnings Survey 2001 - Tanzania

    • microdata.nbs.go.tz
    Updated Aug 14, 2024
    + more versions
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    National Bureau of Statisitcs (2024). Employment and Earnings Survey 2001 - Tanzania [Dataset]. https://microdata.nbs.go.tz/index.php/catalog/13
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    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    National Bureau of Statisitcs
    Time period covered
    2001
    Area covered
    Tanzania
    Description

    Abstract

    The broad objective of the Employment and Earnings Survey was to obtain comprehensive data on the annual status of Employment and Earnings as well as data on the socio-economic characteristics of the Labour Market.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    (a) The Selection of Establishments The Employment and Earnings Survey of 2001 used the existing Central Register of Establishments (CRE) frame. The selection of establishments from the CRE frame falls under the following groups: - (i) All establishments of public sectors found in the CRE frame of 2001 were taken. (ii) All establishments of private sector with at least 50 employees found in the CRE frame of 2001 were taken. (iii) The selection of establishments of private sector employing persons in the range of 5 to 49 was based on a sample.

    (b) The Sample Design (i) A sample of 10 percent of establishments was selected in the employment size group of 5 to 9 employees. (ii) A sample of 33 percent of establishments was selected in the employment size group of 10 to 49 employees.

    (c ) Sample Selection A random sampling method was used to select the number of establishments to be enumerated according to the sample size in each employment group.

    During the enumeration process enumerators were instructed to include in the survey, all new establishments in the public sector and those employing at least 50 persons in the private sectors that will be identified in the field but were not included in the provided list of establishments prepared for the survey.

    Mode of data collection

    Face-to-face [f2f]

    Response rate

    73.2

  11. Average employment income indicators, by groups designated as visible...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 17, 2022
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    Government of Canada, Statistics Canada (2022). Average employment income indicators, by groups designated as visible minorities and selected sociodemographic characteristics for the population aged 15 years and over in private households, 2006, 2011 and 2016, inactive [Dataset]. http://doi.org/10.25318/4310006801-eng
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    Dataset updated
    May 17, 2022
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average employment income and average weekly earnings, by groups designated as a visible minorities and selected sociodemographic characteristics (sex, age group, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, degree or diploma) for the population who worked during the reference year and aged 15 years and over in private households, 2006,2011 and 2016.

  12. n

    Formal Sector Employment and Earnings Survey, 2017 Tanzania Mainland -...

    • microdata.nbs.go.tz
    Updated Jan 15, 2025
    + more versions
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    National Bureau of Statistcs (2025). Formal Sector Employment and Earnings Survey, 2017 Tanzania Mainland - Tanzania [Dataset]. https://microdata.nbs.go.tz/index.php/catalog/41
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    National Bureau of Statistcs
    Time period covered
    2017
    Area covered
    Tanzania
    Description

    Abstract

    The EESs are conducted by the National Bureau of Statistics (NBS), as mandated by Statistics Act 2015 and its 2018 and 2019 Amendments, which empowers NBS to collect, compile and disseminate official statistics in the country. The summary is presented for the six main topical areas namely: -Employment Profile; Wage Rates Profile; Cash Earnings Profile; Annual Wage Bill Profile; Newly Recruited Workers; and Job Vacancies

    Geographic coverage

    Tanzania Mainland Regional level

    Analysis unit

    Formal establishment

    Universe

    The survey covers all formal establishment with employees in both public and private sectors. establishment are divided in three main which are all public sector establishment, all registrated private establishmnent employ at least 50 persons and a sample of registrated of private establishments whose number of employees are from 5-49 persons.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The 2017Employment and Earnings Survey is an establishment- based survey which covered a total of 10,896establishments from a frame of 52,429establishments. The frame consisted ofall public establishments and formal private establishments employing 5 persons or above

    The survey covered all public -sector establishments and private sector establishments with at least 50 employees. Furthermore, the survey covered a sample of private establishments employing 5 to 49 persons. The sampling for this group involved stratifying establishments into those with 5 to 9 employees and those with 10 to 49 employees. Establishments in these strata were further stratified on the basis of their economic activities and ultimately a single stage sampling technique was used to derive representative establishments from each activity using the probability proportion to size (PPS).

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Establishment based questionairre was development in english and was translated in swahili language

    Cleaning operations

    Data editing took place at a number of stages throughout the processing, including: a) Office editing and coding b) During data entry c) Structural checking of SPSS data files

    Response rate

    81.4

    Sampling error estimates

    Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the EES 2017 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

  13. FY 2021 Okayama Support for Securing Professional Human Resources Grant

    • japan-incentive-insights.deloitte.jp
    Updated Jun 24, 2025
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    Deloitte Tohmatsu Tax Co. (2025). FY 2021 Okayama Support for Securing Professional Human Resources Grant [Dataset]. https://japan-incentive-insights.deloitte.jp/article/a0W2x000003QZKiEAO
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    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Deloittehttps://deloitte.com/
    License

    https://japan-incentive-insights.deloitte.jp/termshttps://japan-incentive-insights.deloitte.jp/terms

    Area covered
    Okayama
    Description

    ■Purpose and Overview This program subsidizes a portion of the commissions paid to private human resources business operators to mid-sized Small and Medium-Sized Enterprises companies in Prefecture that employ professional human resources by matching companies with human resources by private business operators in collaboration with Okayama Center for Professional Human Resources Strategy. This will help strengthen the management structure of business establishments in the prefecture and revitalize the prefecture's economy.

    ■ Projects Eligible for Subsidy Projects eligible for grant grant shall be projects that subsidized entity hires human resources through Okayama Professional Human Resources Strategic Base to work at offices in the prefecture and that meet all of the following requirements. (1) The theoretical annual salary of the hired talent must be at least JPY 4 million. (2) A person who moves to a place outside the prefecture prior to employment, and who moves to the prefecture in connection with employment. grant to subsidized entity shall be delivered 1 times per subsidized entity of 1 within the same fiscal year. Any recipient or prospective recipient of grant, etc. for the Subsidy other than this grant shall not be eligible for this grant.

    ■ subsidized entity All of the following requirements must be met by each person for whom this grant is issued: (1) That it is a company as prescribed in Article 2, Item 1 of the Companies Act (Act No. 86 of 2005) or a special limited company as prescribed in Article 2, Paragraph 1 of the Act on Arrangement of Relevant Acts Incidental to Enforcement of the Companies Act (Act No. 87 of 2005). (2) Has less than 1 billion JPY in capital or less than 1,000 regular employees. Has its head office or principal place of business within (3) Prefecture. (4) You must be an employer covered by Unemployment Insurance. (5) The company must not: ・ An enterprise in which at least 1 half of the total number of shares issued or the value of the equity investment is owned by the same large enterprise ・ An enterprise in which at least 2 third of the total number of shares issued or the value of the equity investment is owned by the large enterprise ・ An enterprise in which at least 1 half of the total number of directors are officers or employees of a large enterprise. (6) There is no failure to pay county tax. Even if the above requirements are met, the following persons (1) - (3) shall not be able to apply for the grant of grant. (1) Boryokudan Member, etc. (Refers to Boryokudan Member, etc. under Article 2, Item 3 of Okayama Boryokudan Exclusion Ordinance (Okayama Ordinance No. 57 of 2010). The same shall apply hereinafter. ) A person who falls under. (2) Boryokudan (Boryokudan as defined in Article 2, Item 1 of Okayama Boryokudan Exclusion Ordinance. The same shall apply hereinafter. ) or a person under the control of an Organized Crime Group Member, etc. (3) Those who have socially reprehensible relationships with organized crime groups or members of organized crime groups.

    ■ Subsidised Expenses Expenses covered by grant shall be the commission paid to private human resource business operators for the employment of human resources. However, if overtime and commuting allowances are included in the theoretical annual income in the calculation of fees, these allowances shall be subtracted.

    ■ Subsidy Rate/Maximum Subsidy Amount The amount of grant shall not exceed 1 2/2 of the subsidised cost and the maximum subsidy amount shall be 1 million JPY per hire of Human Resources 1. Any fraction less than 1,000 JPY shall be rounded down.

    ■ Contact: Management and Human Resources Support Group, Management Support Division, Ministry of Industry and Labor, Okayama -36 1 - 7, Naka-ku, Okayama-shi, 703 -8278 Tel: 086-226-7354

    ■ Reference URL Please refer to the following website for the guidelines and guidelines. https://www.pref.okayama.jp/page/509551.html

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Statista (2024). Private sector employment share in the U.S., by business size 2019 [Dataset]. https://www.statista.com/statistics/695424/share-of-private-sector-employment-by-business-size-us/
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Private sector employment share in the U.S., by business size 2019

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Dataset updated
Aug 8, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
United States
Description

This statistic shows the the distribution of private sector employment in the United States in 2019, by size of business. In 2019, 28.4 percent of all workers in the private sector were employed by businesses with over 10,000 employees

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