100+ datasets found
  1. U.S. employee distribution in the private sector 2000-2024, by firm size

    • statista.com
    Updated Sep 24, 2025
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    Statista (2025). U.S. employee distribution in the private sector 2000-2024, by firm size [Dataset]. https://www.statista.com/statistics/235529/employment-by-firm-size-in-us/
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    Dataset updated
    Sep 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, firms with more than 250 employees employed almost 56 percent of the private sector work force in the United States. Since 2004 the share of the workforce employed by larger firms (250 employees or more) has grown considerably.

  2. Top software companies by number of employees

    • kaggle.com
    zip
    Updated Dec 9, 2023
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    Sujay Kapadnis (2023). Top software companies by number of employees [Dataset]. https://www.kaggle.com/datasets/sujaykapadnis/top-software-companies-by-number-of-employees
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    zip(9135 bytes)Available download formats
    Dataset updated
    Dec 9, 2023
    Authors
    Sujay Kapadnis
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Largest software companies by market cap

    What is the market capitalization of a company? The market capitalization sometimes referred as Marketcap, is the value of a publicly listed company. In most cases it can be easily calculated by multiplying the share price with the amount of outstanding shares.

    Data from: https://companiesmarketcap.com/

  3. Enterprises registered in Spain 2023, by number of employees

    • statista.com
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    Statista, Enterprises registered in Spain 2023, by number of employees [Dataset]. https://www.statista.com/statistics/502368/number-of-enterprises-in-spain-by-number-of-employees/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Spain
    Description

    Small companies were the most common enterprise model in Spain as of 2023. That year, there were more than 1.7 million companies that had no employees. On the other side of the coin, only 190 companies had 5000 or more employees.

    Large companies In 2022, five Spanish companies had a workforce of over 100,000 persons: ACS, Inditex, Mercadona, Prosegur and Telefonica. With more than 165 thousand employees, the multinational clothing company Inditex ranked as the firm with the largest staff in the country. However, in terms of sectorial distribution of the largest companies by number of employees, the leaders were active in the areas of corporate services and retail trade.

    Small and medium-sized enterprises (SMEs)

    Small- and medium-sized enterprises, or SMEs, are a crucial element of the Spanish economic fabric. Not only do they constitute the vast majority of the companies in Spain, but they also employ the largest share of the workforce. The overwhelming majority of small and medium-sized enterprises are micro, meaning that they employ fewer than ten workers. Despite their small staff, the 2.7 million micro firms present in 2023 had a remarkably higher number of persons employed than their larger counterparts. That year, the contribution of SMEs to the Spanish economy amounted to 384 billion euros (micro firms alone gave almost 170 billion euros).

  4. Largest companies in Norway 2023, by number of employees

    • statista.com
    Updated Jan 27, 2023
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    Statista (2023). Largest companies in Norway 2023, by number of employees [Dataset]. https://www.statista.com/statistics/555300/norway-top-20-biggest-companies-by-number-of-employees/
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    Dataset updated
    Jan 27, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    Norway
    Description

    As of January 2023, Norsk Sykepleierforbund ranked first with over 150,000 employees. The company employs health care personnel all across the country. Medtronic Norge AS ranked second with 90,000 employees, followed by Cbre AS.

  5. US Industry Data by State, by Industry

    • kaggle.com
    zip
    Updated Jan 15, 2023
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    The Devastator (2023). US Industry Data by State, by Industry [Dataset]. https://www.kaggle.com/datasets/thedevastator/2012-us-industry-data-by-state-by-industry
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    zip(53066 bytes)Available download formats
    Dataset updated
    Jan 15, 2023
    Authors
    The Devastator
    Area covered
    United States
    Description

    US Industry Data by State, by Industry

    Number of Establishments, Sales, Payroll, and Employees

    By Gary Hoover [source]

    About this dataset

    This data set provides a detailed look into the US economy. It includes information on establishments and nonemployer businesses, as well as sales revenue, payrolls, and the number of employees. Gleaned from the Economic Census done every five years, this data is a valuable resource to anyone curious about where the nation was economically at the time. With columns including geographic area name, North American Industry Classification System (NAICS) codes for industries, descriptions of those codes meaning of operation or tax status, and annual payroll, this information-rich dataset contains all you need to track economic trends over time. Whether you’re a researcher studying industry patterns or an entrepreneur looking for market insight — this dataset has what you’re looking for!

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    How to use the dataset

    This dataset provides detailed US industry data by state, including the number of establishments, value of sales, payroll, and number of employees. All the data is based on the North American Industry Classification System (NAICS) code for each specific industry. This will allow you to easily analyze and compare industries across different states or regions.

    Research Ideas

    • Analyzing the economic impact of a new business or industry trends in different states: Comparing the change in the number of establishments, payroll, and employees over time can give insight into how a state is affected by a new industry trend or introduction of a new service or product.
    • Estimating customer sales potential for businesses: This dataset can be used to estimate the potential customer base for businesses in different geographic areas. By analyzing total business done by non-employers in an area along with its estimated population can help estimate how much overall sales potential exists for a given region.
    • Tracking competitor performance: By looking at shipments, receipts, and value of business done across industries in different regions or even cities, companies can track their competitors’ performance and compare it to their own to better assess their strategies going forward

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

    Columns

    File: 2012 Industry Data by Industry and State.csv | Column name | Description | |:----------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------| | Geographic area name | The name of the geographic area the data is for. (String) | | NAICS code | The North American Industry Classification System (NAICS) code for the industry. (String) | | Meaning of NAICS code | The description of the NAICS code. (String) | | Meaning of Type of operation or tax status code | The description of the type of operation or tax status code. (String) ...

  6. Business Dynamics measures, by industry

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Dec 17, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Business Dynamics measures, by industry [Dataset]. http://doi.org/10.25318/3310016401-eng
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    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 2736 series, with data starting from 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Business dynamics measure (16 items: Number of active employer businesses in the private sector; Number of entrants; Number of incumbents; Number of exits; ...) North American Industry Classification System (NAICS) (19 items: Private sector; Agriculture, forestry, fishing and hunting; Mining, quarrying, and oil and gas extraction; Utilities; ...) Firm size (9 items: Private sector; From 0 to less than 100 employees; From 0 to less than 50 employees; Less than 5 employees; ...).

  7. Breakdown of companies in France 2022, by number of employees

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Breakdown of companies in France 2022, by number of employees [Dataset]. https://www.statista.com/statistics/788226/division-business-by-number-employees-la-france/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    France
    Description

    This statistic represents the distribution of companies in France as of 2022, depending on the size of the company. That year, the majority of companies were microcompanies, representing a share of over ** percent.

  8. Business survey Netherlands; to company size

    • cbs.nl
    xml
    Updated Nov 6, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Business survey Netherlands; to company size [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85611ENG
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    xmlAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    Netherlands
    Description

    This table provides up-to-date information about the opinions held by Dutch entrepreneurs on their achievements, expectations and judgments regarding their business. This panel survey is aimed at gaining insight into the current situation, future development and the judgments of Dutch enterprises. As a result it is possible to detect turning points in optimism or pessimism at an early stage, providing an early indication of possible trend changes in the economic activities of the Dutch enterprises. Data are broken down by main business activities (SIC 2008) and size- classes. The questions submitted to the entrepreneurs at the beginning of a quarter concern output, turnover, prices, order books, stocks, investments, competitive position, economic climate, staff size and the obstacles they have encountered. In answering the questions relating to developments in the past three months and expectations for the next three months, the entrepreneurs are asked for a comparison with the preceding period of three months.

    The aggregation ‘all enterprises (no finance or energy)’ includes all available branches questioned in the Business Survey Netherlands. Because not every branch is questioned monthly, this aggregation will only have data available for the first month of each quarter. The aggregation ‘C industry, H-S services and 45+47’ includes all monthly questioned branches and serves as a subtotal of the monthly questionnaire.

    Data available from: January 2015

    Status of the figures: All figures are definitive.

    Changes as of November 6th 2025: Figures of October 2025 have been added.

    Changes as of September 4th 2025: Corrections have been made to previously supplied data for the manufacture of metals. For this reason figures for the topics ‘Assessment of finished products stocks’ and ‘Orders placed next three months’ have been adjusted for C Manufacturing and other activities which manufacturing is part of.

    When will new figures be published? Figures of November 2025 are expected to be published the 27th of November 2025.

  9. Enterprise statistics by size class and NACE Rev. 2 activity (from 2021...

    • ec.europa.eu
    Updated Sep 1, 2025
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    Eurostat (2025). Enterprise statistics by size class and NACE Rev. 2 activity (from 2021 onwards) [Dataset]. http://doi.org/10.2908/SBS_SC_OVW
    Explore at:
    application/vnd.sdmx.data+xml;version=3.0.0, json, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.genericdata+xml;version=2.1, tsvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2021 - 2023
    Area covered
    Spain, Serbia, Latvia, France, Hungary, Netherlands, Montenegro, Cyprus, Albania, Sweden
    Description

    Structural business statistics (SBS) describe the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors).
    The EU Member States transmit SBS annually to the European Commission (Eurostat) based on European legislation.
    SBS covers all activities of the business economy with the exception of agricultural activities, public administration and largely non-market services such as education and health. The data is provided by all EU Member States, Iceland, Norway and Switzerland, some candidate and potential candidate countries.
    Most data is collected by National Statistical Institutes (NSIs) through statistical surveys, business registers or various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K).
    Member States apply various statistical methods - such as grossing up, model based estimation or different forms of imputation - according to the data source to ensure the quality of SBS produced.

    Main characteristics (variables) of the SBS data category:

    • "Business Demographic" variables (e.g. Number of active enterprises)
    • "Output related" variables (e.g. Net turnover, Value added)
    • "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Purchases of goods and services); capital input (e.g. Gross investments)

    All SBS characteristics are published on Eurostat’s website in tables. An example of the existent tables is presented below:

    • Annual enterprise statistics broken down by size classes: SBS data is published by country and employment size class (0-9; 10-19; 20-49; 50-249; 250 persons employed or more), again broken down by detailed economic activity, group level (3-digits). Additional size classes 0-1 and 2-9 persons employed are available for NACE Rev 2 Sections F to J, L to N and P to R and divisions S95 and S96 only for variables "Number of active enterprises" and "Number of employees and self-employed persons". For trade (NACE Rev 2 Section G) a supplementary breakdown by size class of turnover is available.
    • Annual enterprise statistics: SBS data is published by country and detailed economic activity (NACE Rev 2) class level (4-digits) and special aggregates.
    • Annual/bi-annual business services statistics: "Net turnover by product" and "Net turnover by residence of client" are published by country and detailed down to NACE Rev 2 group level (3-digits). The statistics on “Net turnover by product” permit analysis of products' relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by residence of client” enable analysis of the type and location of clients and client specialisation.
    • Annual regional statistics: Three characteristics are published by NUTS-2 country regions and detailed on NACE Rev 2 division level (2-digits).

    Starting from the reference year 2023, voluntary data in new size classes called Small-Mid Caps (i.e. 250-499 and 500 and more persons employed) of selected SBS variables are transmitted by Member States and published together with legal size classes in a new Eurostat table.

    More information on the contents of different tables and the detail level and breakdowns required starting with the reference year 2021, is defined in Commission Regulation 2019/2152 (‘EBS Regulation’) and Regulation (EU) 2020/1197 (‘EBS General Implementing Act’) concerning European Business Statistics.


    Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available in the Annexes.

  10. b

    T-Mobile US Number of Employees

    • bullfincher.io
    Updated May 2, 2025
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    Bullfincher (2025). T-Mobile US Number of Employees [Dataset]. https://bullfincher.io/companies/t-mobile-us/number-of-employees
    Explore at:
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    In fiscal year 2025, the total number of employees at T-Mobile US was 70,000. The employee count increasedby 3,000 from 67,000 (in 2024) to 70,000 (in 2025). It represents a 4.48% year-over-year growth in employee count.

  11. g

    Office for National Statistics - Local Units and Enterprises by Employment...

    • gimi9.com
    Updated Nov 5, 2024
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    (2024). Office for National Statistics - Local Units and Enterprises by Employment Size, Borough | gimi9.com [Dataset]. https://gimi9.com/dataset/london_local-units-employment-size-borough/
    Explore at:
    Dataset updated
    Nov 5, 2024
    Description

    Number local units or enterprises shows the number of businesses by employment size band. A local units is a place of work factory, a shop, or a branch. An enterprise can be thought of as the overall business, made up of all the individual sites or workplaces (local units). It is defined as the smallest combination of legal units (generally based on VAT and/or PAYE records) that has a certain degree of autonomy within an enterprise group. SME data can be found in these table. An SME is any business with less than 250 employees. Micro-enterprises have up to 10 employees. Small enterprises have up to 50 employees. Medium-sized enterprises have up to 250 employees. Figures are provided for VAT and/or PAYE based enterprises and local units. Where an enterprise has several local units, the location of the enterprise is generally the main operating site or the head office. Since 2008 the publication has been enhanced to include enterprises based on PAYE employers that are not also registered for VAT, extending the scope from the previous VAT based enterprise publication. This is a major change to the scope of the publication. The increase in units is most noticeable in the VAT-exempt industries of finance (J), education (M), health (N) and public administration (L, O and Q). Analysis for VAT and/or PAYE based enterprises can be found on the ONS website in their reports titled UK Business: Activity, Size and Location using the link below. Where an enterprise has several local units, the location of the enterprise is generally the main operating site or the head office. Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website. Trend data by MSOA is also available.

  12. Canadian Business Counts, with employees, December 2022

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Feb 20, 2023
    + more versions
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    Government of Canada, Statistics Canada (2023). Canadian Business Counts, with employees, December 2022 [Dataset]. http://doi.org/10.25318/3310066101-eng
    Explore at:
    Dataset updated
    Feb 20, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Canadian Business Counts, location counts with employees, by employment size ranges and North American Industry Classification System (NAICS), Canada and provinces, December 2022.

  13. Canadian employer business counts 2021, by sector and firm size

    • statista.com
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    Statista, Canadian employer business counts 2021, by sector and firm size [Dataset]. https://www.statista.com/statistics/695990/employer-businesses-by-sector-and-firm-size-canada/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2021
    Area covered
    Canada
    Description

    This statistic displays the number of employer businesses in the goods-producing and service-producing sectors in Canada as of December 2021, by firm size. In December 2021, Canada had 508 goods-producing companies with 500 employees or more.

  14. Number of enterprises in Canada, by enterprise size and age of owner

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Sep 10, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Number of enterprises in Canada, by enterprise size and age of owner [Dataset]. http://doi.org/10.25318/3310084901-eng
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    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual counts of enterprises by age of owner (younger than 30 years, 30 to 39 years, 40 to 49 years, etc.) and enterprise size.

  15. Enriched Company Data

    • kaggle.com
    zip
    Updated Apr 4, 2024
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    Abhishek Ranjan (2024). Enriched Company Data [Dataset]. https://www.kaggle.com/datasets/abhishekrp1517/enriched-company-data
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    zip(24036589 bytes)Available download formats
    Dataset updated
    Apr 4, 2024
    Authors
    Abhishek Ranjan
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description
    • The dataset consists of global companies' data sourced and enriched from LinkedIn, with multiple attributes specific to the company including current_technologies and total_funding
    • The dataset can be useful for analysis of industry trends, company growth patterns, technology adoption, along with regression analysis to understand if any feature with continuous data can be expressed as a function of other independent variables.
  16. b

    Alphabet Number of Employees

    • bullfincher.io
    Updated Nov 7, 2025
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    Bullfincher (2025). Alphabet Number of Employees [Dataset]. https://bullfincher.io/companies/alphabet/number-of-employees
    Explore at:
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    In fiscal year 2024, the total number of employees at Alphabet was 183,323. The employee count increasedby 821 from 182,502 (in 2023) to 183,323 (in 2024). It represents a 0.45% year-over-year growth in employee count.

  17. S

    Spain No of Companies: Physical Persons: Without Employees

    • ceicdata.com
    Updated Sep 15, 2025
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    CEICdata.com (2025). Spain No of Companies: Physical Persons: Without Employees [Dataset]. https://www.ceicdata.com/en/spain/number-of-companies-by-legal-form-and-employees/no-of-companies-physical-persons-without-employees
    Explore at:
    Dataset updated
    Sep 15, 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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Spain
    Variables measured
    Enterprises Statistics
    Description

    Spain Number of Companies: Physical Persons: Without Employees data was reported at 1,199,231.000 Unit in 2016. This records an increase from the previous number of 1,157,376.000 Unit for 2015. Spain Number of Companies: Physical Persons: Without Employees data is updated yearly, averaging 1,183,572.000 Unit from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 1,242,389.000 Unit in 2007 and a record low of 1,051,176.000 Unit in 2013. Spain Number of Companies: Physical Persons: Without Employees data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.O013: Number of Companies: by Legal Form and Employees.

  18. b

    Fastenal Company Number of Employees

    • bullfincher.io
    Updated Nov 13, 2025
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    Bullfincher (2025). Fastenal Company Number of Employees [Dataset]. https://bullfincher.io/companies/fastenal-company/number-of-employees
    Explore at:
    Dataset updated
    Nov 13, 2025
    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    In fiscal year 2025, the total number of employees at Fastenal Company was 23,702. The employee count increasedby 501 from 23,201 (in 2024) to 23,702 (in 2025). It represents a 2.16% year-over-year growth in employee count.

  19. d

    Seo-gu, Incheon_Status of companies with 100 or more employees

    • data.go.kr
    csv
    Updated Nov 25, 2025
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    (2025). Seo-gu, Incheon_Status of companies with 100 or more employees [Dataset]. https://www.data.go.kr/en/data/15090759/fileData.do
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    csvAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Area covered
    Incheon, Seo-gu
    Description

    This public data analyzes and provides information on companies with 100 or more employees in Seo-gu, Incheon. It includes company names, factory addresses, products, and phone numbers for companies with 100 or more employees in Seo-gu, Incheon. This public data provides access to industrial and employment environment information, which is expected to contribute to establishing a direction for regional economic revitalization and fostering a foundation for private-sector cooperation. This public data is updated annually to reflect the most up-to-date information.

  20. Forbes World’s Best Employers 2023

    • kaggle.com
    zip
    Updated Oct 14, 2023
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    Viola Kwong (2023). Forbes World’s Best Employers 2023 [Dataset]. https://www.kaggle.com/kwongmeiki/forbes-worlds-best-employers-2023
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    zip(12389 bytes)Available download formats
    Dataset updated
    Oct 14, 2023
    Authors
    Viola Kwong
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    Data Source: - Article Title: World’s Best Employers 2023 - Organisation: Forbes - Author: Rachel Rabkin Peachman - Original Data Updated on October 10, 2023 - Retrieved from https://www.forbes.com/lists/worlds-best-employers/?sh=23405a3c1e0c

    Web scrapping: - Using the robotstxt package in R studio

    Data Overview: - The dataset encompasses 700 the world's best employers across various sectors, such as retail, IT and etc. - Each observation represents the employer's (company / institution) name, industry, country / territory, and number of employees.

    Columns: - Rank (Ordinal): ranking of the employer - Company (categorical): name of the employer - Industries (categorical): industry sector of the employer - Country_territory (categorical): country of company - Employees (numerical): number of employees

    Useful Tips: - Dynamic Trend Analysis: through potential data joining with existing dataset (e.g. https://www.kaggle.com/datasets/yasirhameed/forbes-world-best-employers-2022) - Correlation between size of company and ranking - Composition of recognised employers among countries / industries - Exploration Potential: consider exploring the companies both appeared in this ranking and Forbes The Global 2000 (https://www.kaggle.com/datasets/kwongmeiki/forbes-the-global-2000-rankings-2023) which indicates financial success, noting that both datasets are in more or less the same time frame of research.

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Statista (2025). U.S. employee distribution in the private sector 2000-2024, by firm size [Dataset]. https://www.statista.com/statistics/235529/employment-by-firm-size-in-us/
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U.S. employee distribution in the private sector 2000-2024, by firm size

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Dataset updated
Sep 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2024, firms with more than 250 employees employed almost 56 percent of the private sector work force in the United States. Since 2004 the share of the workforce employed by larger firms (250 employees or more) has grown considerably.

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