13 datasets found
  1. F

    Employment Level - White

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Employment Level - White [Dataset]. https://fred.stlouisfed.org/series/LNS12000003
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Employment Level - White (LNS12000003) from Jan 1954 to Jun 2025 about white, 16 years +, household survey, employment, and USA.

  2. 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

  3. F

    Unemployment Rate - White

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Unemployment Rate - White [Dataset]. https://fred.stlouisfed.org/series/LNS14000003
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Unemployment Rate - White (LNS14000003) from Jan 1954 to Jun 2025 about white, 16 years +, household survey, unemployment, rate, and USA.

  4. U.S. workers checking work e-mails outside of normal work hours 2019, by...

    • statista.com
    Updated Apr 28, 2022
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    Statista (2022). U.S. workers checking work e-mails outside of normal work hours 2019, by frequency [Dataset]. https://www.statista.com/statistics/911592/frequency-consumers-checking-work-emails-outside-work-hours/
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    Dataset updated
    Apr 28, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2019
    Area covered
    United States
    Description

    According to a July 2019 survey of white collar workers in the United States, 43 percent of respondents stated to be checking their work e-mails every few hours outside of their normal work hours, while only ten percent stated to be checking it constantly.

  5. U.S. General Motors employees by type 2024

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). U.S. General Motors employees by type 2024 [Dataset]. https://www.statista.com/statistics/741381/employees-of-general-motors-by-in-us/
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    General Motors employed some 50,000 salaried workers in the United States in 2024. Overall, the company's U.S. headcount has dropped by roughly 2,000 people since 2023. GM's declining workforce GM's worldwide employees in 2024 stood at roughly 162,000, which was a 1,000 employee decrease from 2023. The company is transforming its workforce, and the relation between revenue and research and development expenditure indicates that the company looks towards electrification and automation of vehicles, suggesting that battery production facilities may spark reemployment. Michigan, autos, and employment Michigan is home to traditional U.S. automakers such as Ford and General Motors. These two have the largest headcount of all companies based in Michigan. More than 41,500 workers in Michigan are employed in the automotive industry, tying the socio-economic well-being of the political entity strongly to the state of the automotive industry. As American motor companies restructured in the 1960s and 1970s to match global competition, unemployment rose sharply, particularly in “Motor City” Detroit, leading to insufficient tax revenue, abandoned houses, and increased crime rates. The population of Detroit fell from over 1.8 million inhabitants in 1950 to about 670,000 in 2019.

  6. F

    Average Hourly Earnings of Production and Nonsupervisory Employees, Total...

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/AHETPI
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 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 Production and Nonsupervisory Employees, Total Private (AHETPI) from Jan 1964 to May 2025 about nonsupervisory, headline figure, earnings, average, establishment survey, hours, wages, production, private, employment, and USA.

  7. o

    Data and code for: From Blue to Steel-Collar Jobs: The Decline in Employment...

    • openicpsr.org
    delimited
    Updated Jul 4, 2023
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    Benjamin Lerch (2023). Data and code for: From Blue to Steel-Collar Jobs: The Decline in Employment Gaps? [Dataset]. http://doi.org/10.3886/E192505V1
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    delimitedAvailable download formats
    Dataset updated
    Jul 4, 2023
    Dataset provided by
    American Economic Association
    Authors
    Benjamin Lerch
    License

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

    Time period covered
    1990 - 2014
    Area covered
    United States of America
    Description

    I investigate how the introduction of industrial robots is shaping the demographic composition of the US labor force. Exploiting exogenous variation in robot exposure across local labor markets over time, I find that the adoption of robots between 1993 and 2014 decreased employment of men and women by 3.7 and 1.6 percentage points, contributing to the secular decline in the gender employment gap, and that it decreased employment among whites and non-whites by 1.8 and 4.5 percentage points, widening the race/ethnicity employment gap. I show that these effects are due to persistent occupational segregation in the US labor market, as men and non-whites are often employed in blue-collar jobs which require physical skills that can be automated. Although robots are primarily used in manufacturing industries, I find that their adverse effects also spill over to local service industries, in particular for Blacks and Hispanics.

  8. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q1 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  9. f

    Commuting zone level descriptive statistics.

    • plos.figshare.com
    xls
    Updated Nov 27, 2023
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    Kara E. Rudolph; Nicholas T. Williams; Floriana Milazzo; Atheendar Venkataramani; Rourke O’Brien (2023). Commuting zone level descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0294453.t002
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    xlsAvailable download formats
    Dataset updated
    Nov 27, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kara E. Rudolph; Nicholas T. Williams; Floriana Milazzo; Atheendar Venkataramani; Rourke O’Brien
    License

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

    Description

    An estimated 17.6% of blue-collar, manufacturing jobs were lost in the United States between 1970 and 2016. These jobs, often union-represented, provided relatively generous pay and benefits, creating a path to the middle class for individuals without a four-year college degree. Evidence suggests the closure of manufacturing facilities and resulting decline in economic opportunity increased demand for disability insurance (SSDI) among blue-collar workers. In recent years, the opening of Amazon Fulfillment Centers (FCs) has accelerated around the country, driving a wave of blue-collar job creation. We estimated the extent to which the opening of FCs affected SSDI application rates, including rates of approvals and denials, using a synthetic control group approach. We found that FC openings were associated with a 1.4% reduction in the SSDI application rate over the subsequent three years, translating to 5,528 fewer applications per year across commuting zones with an FC opening. Our findings are consistent with FC openings improving economic opportunities in local labor markets, though our confidence intervals were wide and included the null.

  10. Distribution of the workforce across economic sectors in China 2014-2024

    • statista.com
    Updated Jun 30, 2025
    + more versions
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    Statista (2025). Distribution of the workforce across economic sectors in China 2014-2024 [Dataset]. https://www.statista.com/statistics/270327/distribution-of-the-workforce-across-economic-sectors-in-china/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The statistic shows the distribution of the workforce across economic sectors in China from 2014 to 2024. In 2024, around 22.2 percent of the workforce were employed in the agricultural sector, 29 percent in the industrial sector and 48.8 percent in the service sector. In 2022, the share of agriculture had increased for the first time in more than two decades, which highlights the difficult situation of the labor market due to the pandemic and economic downturn at the end of the year. Distribution of the workforce in China In 2012, China became the largest exporting country worldwide with an export value of about two trillion U.S. dollars. China’s economic system is largely based on growth and export, with the manufacturing sector being a crucial contributor to the country’s export competitiveness. Economic development was accompanied by a steady rise of labor costs, as well as a significant slowdown in labor force growth. These changes present a serious threat to the era of China as the world’s factory. The share of workforce in agriculture also steadily decreased in China until 2021, while the agricultural gross production value displayed continuous growth, amounting to approximately 7.8 trillion yuan in 2021. Development of the service sector Since 2011, the largest share of China’s labor force has been employed in the service sector. However, compared with developed countries, such as Japan or the United States, where 73 and 79 percent of the work force were active in services in 2023 respectively, the proportion of people working in the tertiary sector in China has been relatively low. The Chinese government aims to continue economic reform by moving from an emphasis on investment to consumption, among other measures. This might lead to a stronger service economy. Meanwhile, the size of the urban middle class in China is growing steadily. A growing number of affluent middle class consumers could promote consumption and help China move towards a balanced economy.

  11. F

    Job Openings: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
    + more versions
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    (2025). Job Openings: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSJOL
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    jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    License

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

    Description

    Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to May 2025 about job openings, vacancy, nonfarm, and USA.

  12. U.S. availability of remote work by occupation 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. availability of remote work by occupation 2022 [Dataset]. https://www.statista.com/statistics/1320056/availability-remote-work-by-occupation-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 15, 2022 - Apr 18, 2022
    Area covered
    United States
    Description

    A 2022 survey found that computer and mathematical professions had the highest rate of remote-working opportunities with ** percent having full-time opportunities and ** percent having part-time opportunities. Protective services had the lowest rate of remote-working opportunities with ** percent full-time and ** percent part-time remote-work. During the COVID-19 pandemic, many workers across the U.S. began working remotely for the first time. The popularity of remote work has continued as pandemic restrictions have relaxed.

  13. U.S. annual change in select AI jobs-related online searches 2023

    • statista.com
    Updated Feb 23, 2024
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    Statista (2024). U.S. annual change in select AI jobs-related online searches 2023 [Dataset]. https://www.statista.com/statistics/1395269/ai-artificial-intelligence-jobs-annual-change-online-searches-united-states/
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    Dataset updated
    Feb 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    United States
    Description

    The search terms "ai white collar jobs" had a yearly growth of 65,900 percent in U.S. search volume in January 2023, accumulating to 541 thousand searches in the country during that month. Interest in artificially powered tools like ChatGPT has spiked over the last months, as well as for its developing company OpenAI. Nonetheless, search query "open ai jobs" had a year-on-year growth in its average monthly volume of around 1,971.4 percent, reaching 546 thousand searches in January 2023.

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(2025). Employment Level - White [Dataset]. https://fred.stlouisfed.org/series/LNS12000003

Employment Level - White

LNS12000003

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 3, 2025
License

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

Description

Graph and download economic data for Employment Level - White (LNS12000003) from Jan 1954 to Jun 2025 about white, 16 years +, household survey, employment, and USA.

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