12 datasets found
  1. U.S. clean energy employment loss due to COVID-19 by key state 2020

    • statista.com
    Updated Apr 15, 2021
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    Statista (2021). U.S. clean energy employment loss due to COVID-19 by key state 2020 [Dataset]. https://www.statista.com/statistics/1111478/covid-19-us-reduced-clean-energy-labor/
    Explore at:
    Dataset updated
    Apr 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    Under the restrictions placed due to coronavirus (COVID-19), 2020 has experienced one of the largest historic job losses in the United States. Likewise, the clean energy industry experienced a significant drop with over ******* people losing their jobs in this industry by the end of 2020. California recorded the greatest number of job losses, at ******. This was followed by Texas, where ****** clean energy jobs were cut.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

  2. F

    All Employees: Leisure and Hospitality: Limited-Service Restaurants and...

    • fred.stlouisfed.org
    json
    Updated Sep 20, 2025
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    (2025). All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California [Dataset]. https://fred.stlouisfed.org/series/SMU06000007072259001SA
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    jsonAvailable download formats
    Dataset updated
    Sep 20, 2025
    License

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

    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California (SMU06000007072259001SA) from Jan 1990 to Aug 2025 about restaurant, leisure, hospitality, food, CA, services, employment, and USA.

  3. F

    All Employees: Manufacturing in California

    • fred.stlouisfed.org
    json
    Updated Sep 20, 2025
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    (2025). All Employees: Manufacturing in California [Dataset]. https://fred.stlouisfed.org/series/CAMFG
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    jsonAvailable download formats
    Dataset updated
    Sep 20, 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 All Employees: Manufacturing in California (CAMFG) from Jan 1990 to Aug 2025 about CA, manufacturing, employment, and USA.

  4. Employment by industry, monthly, seasonally adjusted and unadjusted, and...

    • www150.statcan.gc.ca
    Updated Nov 7, 2025
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    Government of Canada, Statistics Canada (2025). Employment by industry, monthly, seasonally adjusted and unadjusted, and trend-cycle, last 5 months (x 1,000) [Dataset]. http://doi.org/10.25318/1410035501-eng
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    Dataset updated
    Nov 7, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

  5. 2013 04: Job Sprawl in 100 Largest Metropolitan Areas

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Apr 24, 2013
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    MTC/ABAG (2013). 2013 04: Job Sprawl in 100 Largest Metropolitan Areas [Dataset]. https://opendata.mtc.ca.gov/documents/2013-04-job-sprawl-in-100-largest-metropolitan-areas/about
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    Dataset updated
    Apr 24, 2013
    Dataset provided by
    Metropolitan Transportation Commission
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Authors
    MTC/ABAG
    License

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

    Description

    The Brookings Institute study concluded that: Steep employment losses following the Great Recession stalled the steady decentralization of jobs that characterized the early to mid-2000s. However, by 2010 nearly twice the share of jobs was located at least 10 miles away from downtown (43%) as within 3 miles of downtown (23%).Job losses in industries hit hardest by the downturn, including construction and manufacturing, helped check employment decentralization in the late 2000s. In all but nine of the 100 largest metro areas, the share of jobs located within three miles of downtown declined during the 2000s.Metro areas showing the greatest increase in jobs in the 10-35 miles radius from downtown include:Phoenix-Mesa-Glendale, AZ, San Antonio-New Braunfels, TX, Austin-Round Rock-San Marcos, TX, Dallas-Fort Worth-Arlington, TX, and Houston-Sugar Land-Baytown, TX.Metro areas showing the greatest loss of jobs within the 3 mile radius of downtown include:North Port-Bradenton-Sarasota, FL, Boise City-Nampa, ID, Jackson, MS, McAllen-Edinburg-Mission, TX, and Cape Coral-Fort Myers, FLSource:Job Sprawl Stalls: The Great Recession and Metropolitan Employment Location, Metropolitan Policy Program, Brookings Institute. Elizabeth Kneebone. URL: https://www.brookings.edu/research/reports/2013/04/18-job-sprawl-kneebone

  6. Change in employment compared to pre-pandemic levels in Mexico July 2022, by...

    • statista.com
    Updated Aug 9, 2023
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    Statista (2023). Change in employment compared to pre-pandemic levels in Mexico July 2022, by state [Dataset]. https://www.statista.com/statistics/1341510/number-new-jobs-created-by-state-mexico/
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    Dataset updated
    Aug 9, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    There were a total of ******* new formal jobs in Mexico in July 2022 compared to the number registered in July 2019, before the national labor market suffered the effects of the COVID-19 pandemic. Baja California, Nuevo Leon and Jalisco were the states that led the recovery in employment levels, as in each of them there were over ******** new workers inscribed in the IMSS (the Mexican Institute of Social Security) in July 2022 compared to the same month three years earlier. By contrast, Mexico City had lost more than ******* jobs.

  7. B

    Replication Data and Code for: Community Attachment, Job Loss and Regional...

    • borealisdata.ca
    • search.dataone.org
    Updated Sep 13, 2022
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    Derek Messacar (2022). Replication Data and Code for: Community Attachment, Job Loss and Regional Labour Mobility in Canada: Evidence from the Great Recession [Dataset]. http://doi.org/10.5683/SP3/7CGML4
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2022
    Dataset provided by
    Borealis
    Authors
    Derek Messacar
    License

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

    Area covered
    Canada
    Description

    The data and programs replicate tables and figures from “Community Attachment, Job Loss and Regional Labour Mobility in Canada: Evidence from the Great Recession", by Messacar. Please see the ReadMe file for additional details.

  8. F

    All Employees: Manufacturing: Non-Durable Goods: Cut and Sew Apparel...

    • fred.stlouisfed.org
    json
    Updated Sep 20, 2025
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    (2025). All Employees: Manufacturing: Non-Durable Goods: Cut and Sew Apparel Manufacturing in California [Dataset]. https://fred.stlouisfed.org/series/SMU06000003231520001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 20, 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 All Employees: Manufacturing: Non-Durable Goods: Cut and Sew Apparel Manufacturing in California (SMU06000003231520001) from Jan 1990 to Aug 2025 about apparel, nondurable goods, CA, goods, manufacturing, employment, and USA.

  9. B

    Employment Dynamics, 1983-1999 [Canada] [Excel]

    • borealisdata.ca
    • search.dataone.org
    Updated Sep 28, 2023
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    Statistics Canada (2023). Employment Dynamics, 1983-1999 [Canada] [Excel] [Dataset]. http://doi.org/10.5683/SP3/MJ06EP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.5683/SP3/MJ06EPhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.5683/SP3/MJ06EP

    Time period covered
    1983 - 1999
    Area covered
    Canada
    Description

    The Employment Dynamics is a compilation of statistical tables on employment, payroll and the number of businesses with employees for Canada, the provinces and territories. They are published annually by Statistics Canada’s Small Business and Special Surveys Division, which derives the Dynamics figures from information supplied by the Business and Labour Market Analysis Division. Primarily, the tables are used to analyze how businesses of different sizes contribute to employment change in the economy. Net year-over-year changes in total employment are broken down according to the following gross components, which are calculated for individual employment-size groupings of firms: Job gains attributed to newly identified employers; Job losses attributed to firms that ceased to be identified as employers; Job gains attributed to continuing employers that increased their respective employment levels; Job losses attributed to continuing employers that decreased their respective employment levels; The Dynamics are also useful in that they provide estimated counts of entries and exits of businesses from the employer population in Canada. The data cover all private and public sector businesses or organizations (including public administration) that issue T4 slips to employees for taxation purposes. Both incorporated and unincorporated entities are included, but only if they issue T4 slips to employees. In other words, non-employers are not included in the figures.

  10. Employment by class of worker and industry, monthly, unadjusted for...

    • www150.statcan.gc.ca
    Updated Jan 8, 2021
    + more versions
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    Government of Canada, Statistics Canada (2021). Employment by class of worker and industry, monthly, unadjusted for seasonality, population centres and rural areas, inactive (x 1,000) [Dataset]. http://doi.org/10.25318/1410010701-eng
    Explore at:
    Dataset updated
    Jan 8, 2021
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees by class of worker, North American Industry Classification System (NAICS), and population centre and rural area, last 5 months.

  11. Employment by industry, annual, inactive (x 1,000)

    • www150.statcan.gc.ca
    Updated Jan 10, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employment by industry, annual, inactive (x 1,000) [Dataset]. http://doi.org/10.25318/1410039201-eng
    Explore at:
    Dataset updated
    Jan 10, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees by North American Industry Classification System (NAICS), province and economic region, last 5 years.

  12. F

    All Employees: Non-Durable Goods: Cut and Sew Apparel Manufacturing in Los...

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
    + more versions
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    (2025). All Employees: Non-Durable Goods: Cut and Sew Apparel Manufacturing in Los Angeles-Long Beach-Glendale, CA (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU06310843231520001A
    Explore at:
    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
    Glendale, Long Beach, California
    Description

    Graph and download economic data for All Employees: Non-Durable Goods: Cut and Sew Apparel Manufacturing in Los Angeles-Long Beach-Glendale, CA (MD) (SMU06310843231520001A) from 1990 to 2024 about apparel, nondurable goods, goods, manufacturing, employment, and USA.

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Statista (2021). U.S. clean energy employment loss due to COVID-19 by key state 2020 [Dataset]. https://www.statista.com/statistics/1111478/covid-19-us-reduced-clean-energy-labor/
Organization logo

U.S. clean energy employment loss due to COVID-19 by key state 2020

Explore at:
Dataset updated
Apr 15, 2021
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2020
Area covered
United States
Description

Under the restrictions placed due to coronavirus (COVID-19), 2020 has experienced one of the largest historic job losses in the United States. Likewise, the clean energy industry experienced a significant drop with over ******* people losing their jobs in this industry by the end of 2020. California recorded the greatest number of job losses, at ******. This was followed by Texas, where ****** clean energy jobs were cut.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

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