16 datasets found
  1. Current Employment Statistics (CES)

    • data.ca.gov
    • catalog.data.gov
    csv
    Updated Sep 19, 2025
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    California Employment Development Department (2025). Current Employment Statistics (CES) [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-2
    Explore at:
    csv(70705544), csv(72314038), csv(70602263)Available download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    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.

  2. d

    Current Employment Statistics (CES), Annual Average

    • catalog.data.gov
    • data.ca.gov
    Updated Oct 23, 2025
    + more versions
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    California Employment Development Department (2025). Current Employment Statistics (CES), Annual Average [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-annual-average-1990-2019
    Explore at:
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    California Employment Development Department
    Description

    This dataset contains annual average CES data for California statewide and areas from 1990 to 2024. 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.

  3. H

    CES 2022, Team Module of the University of California, Los Angeles (CLA)

    • dataverse.harvard.edu
    Updated Jul 31, 2024
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    Gary Segura (2024). CES 2022, Team Module of the University of California, Los Angeles (CLA) [Dataset]. http://doi.org/10.7910/DVN/SQWLUC
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 31, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Gary Segura
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Los Angeles
    Description

    This dataverse contains the data and supporting documents for the CES 2022 Team Module of the University of California, Los Angeles. This project was supported by the National Science Foundation, Grant Number SES-2148907.

  4. d

    CES 2020, Team Module of University of California, Riverside (UCR)

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Biggers, Dan (2023). CES 2020, Team Module of University of California, Riverside (UCR) [Dataset]. http://doi.org/10.7910/DVN/SUTCWJ
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Biggers, Dan
    Description

    This dataverse contains the data and supporting documents for the CES 2020 Team Module of UC Riverside. This project was supported by the National Science Foundation, Grant Number SES-1948863.

  5. v

    California Cartage Company Ces Company profile with phone,email, buyers,...

    • volza.com
    csv
    Updated Nov 14, 2025
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    Volza FZ LLC (2025). California Cartage Company Ces Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/california-cartage-company-ces-1518147
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of California Cartage Company Ces contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  6. d

    CES 2020, Team Module of University of Southern California (USC)

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Wood, Abby (2023). CES 2020, Team Module of University of Southern California (USC) [Dataset]. http://doi.org/10.7910/DVN/MLRL4T
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wood, Abby
    Description

    This dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Southern California. This project was supported by the National Science Foundation, Grant Number SES-1948863.

  7. H

    CES 2022, Team Module of University of California, Riverside (UCR)

    • dataverse.harvard.edu
    Updated Jul 31, 2024
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    Dan Biggers (2024). CES 2022, Team Module of University of California, Riverside (UCR) [Dataset]. http://doi.org/10.7910/DVN/LPFYET
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 31, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Dan Biggers
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Riverside, California
    Description

    This dataverse contains the data and supporting documents for the CES 2022 Team Module of the University of California, Riverside. This project was supported by the National Science Foundation, Grant Number SES-2148907.

  8. a

    R,O,Y CES

    • univredlands.hub.arcgis.com
    Updated Dec 4, 2020
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    URSpatial (2020). R,O,Y CES [Dataset]. https://univredlands.hub.arcgis.com/datasets/univredlands::proudian-ej-data-wfl1?layer=0
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    Dataset updated
    Dec 4, 2020
    Dataset authored and provided by
    URSpatial
    Area covered
    Description

    The Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), announces the availability of the Communities Environmental Health Screening Tool: CalEnviroScreen Version 3.0 (CalEnviroScreen 3.0). CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The 3.0 report and supporting documents are available at: http://oehha.ca.gov/calenviroscreen/report/calenviroscreen-30

  9. a

    CES Toxic Release Percentile

    • socal-sustainability-atlas-claremont.hub.arcgis.com
    Updated Nov 14, 2024
    + more versions
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    The Claremont Colleges Library (2024). CES Toxic Release Percentile [Dataset]. https://socal-sustainability-atlas-claremont.hub.arcgis.com/datasets/ces-toxic-release-percentile
    Explore at:
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    The Claremont Colleges Library
    Area covered
    Description

    The Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), announces the availability of the Communities Environmental Health Screening Tool: CalEnviroScreen Version 4.0. CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The 4.0 report and supporting documents are available at: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-53

  10. d

    CES 2020, Team Module of University of California, Los Angeles (UCL)

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Peterson, Mark (2023). CES 2020, Team Module of University of California, Los Angeles (UCL) [Dataset]. http://doi.org/10.7910/DVN/1FZVGR
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Peterson, Mark
    Description

    This dataverse contains the data and supporting documents for the CES 2020 Team Module of UCLA. This project was supported by the National Science Foundation, Grant Number SES-1948863.

  11. d

    CES 2020, Team Module of University of California --- San Diego, National...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Naoi, Megumi; Chiang, Chunfang (2023). CES 2020, Team Module of University of California --- San Diego, National Taiwan University (UCN) [Dataset]. http://doi.org/10.7910/DVN/YLMTN8
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Naoi, Megumi; Chiang, Chunfang
    Area covered
    San Diego
    Description

    This dataverse contains the data and supporting documents for the CES 2020 Team Module of UC San Diego, National Taiwan University. This project was supported by the National Science Foundation, Grant Number SES-1948863.

  12. B

    Canadian Election Study, 2019, Phone Survey

    • datasetcatalog.nlm.nih.gov
    • borealisdata.ca
    • +1more
    Updated Sep 14, 2023
    + more versions
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    Loewen, Peter John; Stephenson, Laura B; Rubenson, Daniel; Harell, Allison (2023). Canadian Election Study, 2019, Phone Survey [Dataset]. http://doi.org/10.5683/SP3/S5YLYC
    Explore at:
    Dataset updated
    Sep 14, 2023
    Authors
    Loewen, Peter John; Stephenson, Laura B; Rubenson, Daniel; Harell, Allison
    Area covered
    Canada
    Description

    The 2019 Canadian Election Study was conducted to gather the attitudes and opinions of Canadians during and after the 2019 federal election. It continues the tradition of Canadian Election Studies started in 1965. There are 2 data files for the 2019 CES - online survey and phone survey.

  13. d

    CES 2020, Team Module of University of Massachusetts --- Amherst, University...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Theodoridis, Alex; Nicholson, Steve (2023). CES 2020, Team Module of University of Massachusetts --- Amherst, University of California --- Merced (UCM) [Dataset]. http://doi.org/10.7910/DVN/OOOP3V
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Theodoridis, Alex; Nicholson, Steve
    Area covered
    Amherst, Merced
    Description

    This dataverse contains the data and supporting documents for the CES 2020 Team Module of UMass Amherst and UC Merced. This project was supported by the National Science Foundation, Grant Number SES-1948863.

  14. G

    Reconciliation of expenditures of universities and colleges on a Financial...

    • ouvert.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Reconciliation of expenditures of universities and colleges on a Financial Management System (FMS) basis to expenditures on postsecondary education as per Centre for education statistics (CES), for fiscal year ending closest to March 31 [Dataset]. https://ouvert.canada.ca/data/dataset/e856173a-30ca-40fc-b0e8-bb7d3ed3e44c
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 156 series, with data for years 1999 - 31-MAR-03 not all combinations necessarily have data for all years), and was last released on 2009-09-02. This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada;Newfoundland and Labrador;Prince Edward Island;Nova Scotia ...), Expenditures (12 items: Expenditures of universities and colleges; Financial Management System (FMS) basis;Deduct: adjustment to report expenditures on a net basis;Add: principal portion of debt repayments;Add: institutions embedded in the public accounts or financial statements ...).

  15. a

    CES Drinking Water Percentile

    • socal-sustainability-atlas-claremont.hub.arcgis.com
    Updated Nov 14, 2024
    + more versions
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    The Claremont Colleges Library (2024). CES Drinking Water Percentile [Dataset]. https://socal-sustainability-atlas-claremont.hub.arcgis.com/datasets/ces-drinking-water-percentile
    Explore at:
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    The Claremont Colleges Library
    Area covered
    Description

    The Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), announces the availability of the Communities Environmental Health Screening Tool: CalEnviroScreen Version 4.0. CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The 4.0 report and supporting documents are available at: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-47

  16. a

    CES Unemployment

    • socal-sustainability-atlas-claremont.hub.arcgis.com
    Updated Nov 14, 2024
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    The Claremont Colleges Library (2024). CES Unemployment [Dataset]. https://socal-sustainability-atlas-claremont.hub.arcgis.com/items/75e45687c20143cdb4c4daba82f7fced
    Explore at:
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    The Claremont Colleges Library
    Area covered
    Description

    Percent of the population over the age of 16 that is unemployed and eligible for the labor force. The Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), announces the availability of the Communities Environmental Health Screening Tool: CalEnviroScreen Version 4.0. CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The 4.0 report and supporting documents are available at: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-79

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California Employment Development Department (2025). Current Employment Statistics (CES) [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-2
Organization logo

Current Employment Statistics (CES)

Explore at:
csv(70705544), csv(72314038), csv(70602263)Available download formats
Dataset updated
Sep 19, 2025
Dataset provided by
Employment Development Departmenthttp://www.edd.ca.gov/
Authors
California Employment Development Department
License

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

Description

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.

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