100+ datasets found
  1. Average revenue per employee, by sector U.S. 2018

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Average revenue per employee, by sector U.S. 2018 [Dataset]. https://www.statista.com/statistics/1078877/average-revenue-per-employee-sector-us/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    According a report from Casaleggio Associati, the energy sector had the highest average revenue per employee in the United States in 2018. That year, the energy industry had an average revenue of 1.79 million U.S. dollars per employee.

  2. Revenue per employee in the U.S. coffee and snack shops industry

    • statista.com
    Updated Feb 1, 2011
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    Statista (2011). Revenue per employee in the U.S. coffee and snack shops industry [Dataset]. https://www.statista.com/statistics/196688/revenue-per-employee-in-us-coffee-and-snack-shops-industry-since-2002/
    Explore at:
    Dataset updated
    Feb 1, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph depicts the revenue per employee in the U.S. coffee and snack shops industry from 2002 to 2016. In 2002, the revenue per employee was 47,070 U.S. dollars.

  3. U.S. chemical industry revenue per employee 2002-2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). U.S. chemical industry revenue per employee 2002-2022 [Dataset]. https://www.statista.com/statistics/302013/us-chemical-industry-revenue-per-employee/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The revenue per employee in the U.S. chemical industry showed a remarkable increase in 2022. It rose to around 1.22 million U.S. dollars for each worker, compared to the 1.07 million U.S. dollars that was reported in the year before.

  4. Revenue per employee of leading tech companies 2022

    • statista.com
    Updated Feb 21, 2025
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    Statista (2025). Revenue per employee of leading tech companies 2022 [Dataset]. https://www.statista.com/statistics/217489/revenue-per-employee-of-selected-tech-companies/
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, Netflix was the most effective company, generating close to 2.47 million U.S. dollars of revenue per employee. Apple ranked in second place with an annual revenue of more than 2.40 million U.S. dollars per employee.

  5. Revenue per employee of professional services organizations worldwide...

    • statista.com
    Updated May 24, 2024
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    Statista (2024). Revenue per employee of professional services organizations worldwide 2013-2023 [Dataset]. https://www.statista.com/statistics/934306/professional-services-worldwide-revenue-per-employee/
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    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The average annual revenue per employee of professional services organizations worldwide fluctuated considerably between 2013 and 2023. In the 2023 survey, respondents reported an average revenue per employee of 170,000 U.S. dollars.

  6. F

    Average Hourly Earnings of All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
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    (2025). Average Hourly Earnings of All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/CES3000000003
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    jsonAvailable download formats
    Dataset updated
    Mar 7, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Manufacturing (CES3000000003) from Mar 2006 to Feb 2025 about earnings, establishment survey, hours, wages, manufacturing, employment, and USA.

  7. Net profit generated per employee in top pharmaceutical companies 2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Net profit generated per employee in top pharmaceutical companies 2022 [Dataset]. https://www.statista.com/statistics/473584/top-global-pharmaceutical-companies-net-profit-per-employee/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In 2022, Biogen generated almost 350 thousand U.S. dollars’ worth of net profit per employee, which ranked the company second among the global top 15 pharmaceutical companies. Net profit per employee data can be used as an indicator to gauge how profitable a company (or industry) is.

    Biogen

    Biogen is a biotechnology & pharmaceutical company, based in Massachusetts, United States, specialized in developing medical solutions for neurological and neurodegenerative diseases. In 2022, Biogen had an average of over 8,700 people employed.

    Pharmaceutical giants

    Today, some of the largest corporations in the pharma industry include Johnson & Johnson, Novartis, Pfizer, and Roche, to name a few. Based on market capitalization worldwide, Eli Lilly led the list as of October 2023, with a market cap of roughly 500 billion U.S. dollars. In terms of 2022 prescription sales numbers, Roche stood in sixth place with about 48 billion U.S. dollars, while placed first in the R&D rankings, spending almost 15 billion dollars on research and development.

  8. N

    Industry, CA annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Industry, CA annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/industry-ca-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    City of Industry, California
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Industry. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Industry, the Census Bureau did not report the median income for all workers aged 15 years and older, regardless of work hours, for both males and females due to an insufficient number of sample observations.

    Due to unavailability of income data for both males and females, conducting a comprehensive analysis of gender-based pay disparity in the city of Industry was not possible.

    - Full-time workers, aged 15 years and older: In Industry, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,250, while females earned $83,750

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Industry median household income by race. You can refer the same here

  9. N

    Industry, Maine annual median income by work experience and sex dataset :...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Industry, Maine annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/94a90e08-9816-11ee-99cf-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Maine, Industry
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2010-2022 5-Year Estimates. To portray the income for both the genders (Male and Female), we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Industry town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2021

    Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Industry town, the median income for all workers aged 15 years and older, regardless of work hours, was $49,429 for males and $24,321 for females.

    These income figures highlight a substantial gender-based income gap in Industry town. Women, regardless of work hours, earn 49 cents for each dollar earned by men. This significant gender pay gap, approximately 51%, underscores concerning gender-based income inequality in the town of Industry town.

    - Full-time workers, aged 15 years and older: In Industry town, among full-time, year-round workers aged 15 years and older, males earned a median income of $56,447, while females earned $33,508, leading to a 41% gender pay gap among full-time workers. This illustrates that women earn 59 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Industry town, showcasing a consistent income pattern irrespective of employment status.

    https://i.neilsberg.com/ch/industry-me-income-by-gender.jpeg" alt="Industry, Maine gender based income disparity">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2022
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Industry town median household income by gender. You can refer the same here

  10. F

    Wage and salary accruals per full-time equivalent employee: Domestic private...

    • fred.stlouisfed.org
    json
    Updated Oct 2, 2024
    + more versions
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    (2024). Wage and salary accruals per full-time equivalent employee: Domestic private industries: Real estate and rental and leasing [Dataset]. https://fred.stlouisfed.org/series/N4462C0A052NBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 2, 2024
    License

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

    Description

    Graph and download economic data for Wage and salary accruals per full-time equivalent employee: Domestic private industries: Real estate and rental and leasing (N4462C0A052NBEA) from 1998 to 2023 about accruals, leases, full-time, rent, real estate, salaries, private industries, domestic, wages, private, employment, industry, GDP, and USA.

  11. d

    Current Employment Statistics (CES), Annual Average

    • catalog.data.gov
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Current Employment Statistics (CES), Annual Average [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-annual-average-1990-2019
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

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

  12. T

    United States - Wage and salary accruals per full-time equivalent employee:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 3, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-accruals-per-full-time-equivalent-employee-domestic-private-industries-manufacturing-dollar-nsa-yearly-fed-data.html
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Dec 3, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing was 85935.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing reached a record high of 85935.00000 in January of 2023 and a record low of 39489.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing - last updated from the United States Federal Reserve on March of 2025.

  13. T

    United States - Wage and salary accruals per full-time equivalent employee:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 18, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Professional, scientific, and technical services [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-accruals-per-full-time-equivalent-employee-domestic-private-industries-professional-scientific-and-technical-services-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Professional, scientific, and technical services was 127089.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Professional, scientific, and technical services reached a record high of 127089.00000 in January of 2023 and a record low of 54515.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Professional, scientific, and technical services - last updated from the United States Federal Reserve on March of 2025.

  14. T

    United States - Wage and salary accruals per full-time equivalent employee:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 23, 2025
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    TRADING ECONOMICS (2025). United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Information: Publishing industries (includes software) [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-accruals-per-full-time-equivalent-employee-domestic-private-industries-information-publishing-industries-includes-software-fed-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Information: Publishing industries (includes software) was 179975.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Information: Publishing industries (includes software) reached a record high of 185609.00000 in January of 2021 and a record low of 55910.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Information: Publishing industries (includes software) - last updated from the United States Federal Reserve on March of 2025.

  15. T

    Average Weekly Earnings of Production Employees: Information: Motion Picture...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 12, 2020
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    TRADING ECONOMICS (2020). Average Weekly Earnings of Production Employees: Information: Motion Picture and Sound Recording Industries in California [Dataset]. https://tradingeconomics.com/united-states/average-weekly-earnings-of-production-employees-information-motion-picture-and-sound-recording-industries-in-california-dollar-per-week-fed-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Nov 12, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    California
    Description

    Average Weekly Earnings of Production Employees: Information: Motion Picture and Sound Recording Industries in California was 1291.03000 $ per Week in January of 2021, according to the United States Federal Reserve. Historically, Average Weekly Earnings of Production Employees: Information: Motion Picture and Sound Recording Industries in California reached a record high of 1291.03000 in January of 2021 and a record low of 924.95000 in January of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of Production Employees: Information: Motion Picture and Sound Recording Industries in California - last updated from the United States Federal Reserve on March of 2025.

  16. T

    United States - Wage and salary accruals per full-time equivalent employee:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 30, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Wood products [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-accruals-per-full-time-equivalent-employee-domestic-private-industries-manufacturing-durable-goods-wood-products-fed-data.html
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Dec 30, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Wood products was 63831.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Wood products reached a record high of 63831.00000 in January of 2023 and a record low of 28404.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Wood products - last updated from the United States Federal Reserve on March of 2025.

  17. T

    Average Hourly Earnings of Production Employees: Information: Motion Picture...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 1, 2020
    + more versions
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    TRADING ECONOMICS (2020). Average Hourly Earnings of Production Employees: Information: Motion Picture and Video Industries in California [Dataset]. https://tradingeconomics.com/united-states/average-hourly-earnings-of-production-employees-information-motion-picture-and-video-industries-in-california-dollar-per-hour-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Sep 1, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    California
    Description

    Average Hourly Earnings of Production Employees: Information: Motion Picture and Video Industries in California was 37.68000 $ per Hour in January of 2021, according to the United States Federal Reserve. Historically, Average Hourly Earnings of Production Employees: Information: Motion Picture and Video Industries in California reached a record high of 37.68000 in January of 2021 and a record low of 26.41000 in January of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Hourly Earnings of Production Employees: Information: Motion Picture and Video Industries in California - last updated from the United States Federal Reserve on February of 2025.

  18. F

    Average Hourly Earnings of Production Employees: Information: Motion Picture...

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
    + more versions
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    (2025). Average Hourly Earnings of Production Employees: Information: Motion Picture and Video Industries in California [Dataset]. https://fred.stlouisfed.org/series/SMU06000005051210008A
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    jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    License

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

    Area covered
    California
    Description

    Graph and download economic data for Average Hourly Earnings of Production Employees: Information: Motion Picture and Video Industries in California (SMU06000005051210008A) from 2001 to 2024 about video, audio-visual, information, hours, production, CA, employment, industry, and USA.

  19. T

    United States - Wage and salary accruals per full-time equivalent employee:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 3, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Retail trade: General merchandise stores [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-accruals-per-full-time-equivalent-employee-domestic-private-industries-retail-trade-general-merchandise-stores-fed-data.html
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Dec 3, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Retail trade: General merchandise stores was 35479.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Retail trade: General merchandise stores reached a record high of 35479.00000 in January of 2023 and a record low of 18358.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Retail trade: General merchandise stores - last updated from the United States Federal Reserve on March of 2025.

  20. T

    United States - Wage and salary accruals per full-time equivalent employee:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 15, 2019
    + more versions
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    TRADING ECONOMICS (2019). United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Computer and electronic products [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-accruals-per-full-time-equivalent-employee-domestic-private-industries-manufacturing-durable-goods-computer-and-electronic-products-fed-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Sep 15, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Computer and electronic products was 156643.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Computer and electronic products reached a record high of 156643.00000 in January of 2023 and a record low of 54707.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and salary accruals per full-time equivalent employee: Domestic private industries: Manufacturing: Durable goods: Computer and electronic products - last updated from the United States Federal Reserve on March of 2025.

Share
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Click to copy link
Link copied
Close
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Statista (2024). Average revenue per employee, by sector U.S. 2018 [Dataset]. https://www.statista.com/statistics/1078877/average-revenue-per-employee-sector-us/
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Average revenue per employee, by sector U.S. 2018

Explore at:
Dataset updated
Aug 12, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2018
Area covered
United States
Description

According a report from Casaleggio Associati, the energy sector had the highest average revenue per employee in the United States in 2018. That year, the energy industry had an average revenue of 1.79 million U.S. dollars per employee.

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