100+ datasets found
  1. a

    Economics & Education Statistics - Zip Code

    • hub.arcgis.com
    • data-sccphd.opendata.arcgis.com
    Updated Feb 21, 2018
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    Santa Clara County Public Health (2018). Economics & Education Statistics - Zip Code [Dataset]. https://hub.arcgis.com/maps/sccphd::economics-education-statistics-zip-code
    Explore at:
    Dataset updated
    Feb 21, 2018
    Dataset authored and provided by
    Santa Clara County Public Health
    License

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

    Area covered
    Description

    Zip Code; Median household income; Unemployed (ages GE 16); Families below 185% FPL; Children (ages 0-17) below 185% FPL; Children (ages 3-4) enrolled in preschool or nursery school; Less than high school; High school graduate; Some college or associates degree; College graduate or higher; High school graduate or less. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

  2. DCMS Sector National Economic Estimates: 2011 to 2020

    • gov.uk
    Updated Nov 22, 2024
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    DCMS Sector National Economic Estimates: 2011 to 2020 [Dataset]. https://www.gov.uk/government/statistics/dcms-sector-national-economic-estimates-2011-to-2020
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    Revision note

    Employment data has been revised since publication.

    November 2024: For DCMS sector data, please see: Economic Estimates: Employment and APS earnings in DCMS sectors, January 2023 to December 2023

    For Digital sector data, please see: Economic Estimates: Employment in DCMS sectors and Digital sector, January 2022 to December 2022

    October 2024: Following the identification of a minor error, the Labour Force Survey, July to September 2016 to 2020 data tables have been re-published for the digital sector. This affects data for 2019 only - data for 2016 and 2020 are not affected.

    Updated estimates for DCMS sectors have been re-published.

    Economic Estimates: Employment in DCMS sectors, April 2022 to March 2024.

    Although the original versions of the tables were published before the Machinery of Government changes in February 2023, these corrected tables have been re-published for DCMS sectors and the digital sector separately. This is because the digital sector is now a Department for Science, Innovation and Technology (DSIT) responsibility.

    About

    The Economic Estimates in this release are a combination of National, Official, and experimental statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy.

    Content

    These statistics cover the economic contribution of the following DCMS sectors to the UK economy:

    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms

    Tourism and Civil Society are included where possible.

    Users should note that there is overlap between DCMS sector definitions and that the Telecoms sector sits wholly within the Digital sector.

    The release also includes estimates for the Audio Visual sector and Computer Games sector for some measures.

    A definition for each sector is available in the associated methodology note along with details of methods and data limitations.

    Following updates to the underlying methodology used to produce the estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap, we have published revised estimates for employee earnings in the DCMS Sectors and Digital Sector from 2016 to 2020.

    We’ve published revised estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap. This was necessary for a number of reasons, including:

    • the creation of the Department of Science, Innovation and Technology (DSIT) and the change to DCMS’s remit
    • necessary updates to bring the estimates in line with Office for National Statistics (ONS) methodology
    • to update 2020 Tourism estimates according to the latest Tourism Satellite Account (TSA) estimates
    • to correct minor errors

    Released

    These statistics were first published on 23 December 2021

    Feedback

    DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@dcms.gov.uk.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    Pre-release access

    The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

    Contact

    Responsible statistician

  3. U

    United States AHE: PW: PB: Ads Material Distribution & Other Advertising...

    • ceicdata.com
    Updated Nov 25, 2024
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    CEICdata.com (2024). United States AHE: PW: PB: Ads Material Distribution & Other Advertising Svcs [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-hourly-earnings-production-workers/ahe-pw-pb-ads-material-distribution--other-advertising-svcs
    Explore at:
    Dataset updated
    Nov 25, 2024
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Variables measured
    Wage/Earnings
    Description

    United States AHE: PW: PB: Ads Material Distribution & Other Advertising Svcs data was reported at 29.240 USD in Dec 2024. This records an increase from the previous number of 27.120 USD for Nov 2024. United States AHE: PW: PB: Ads Material Distribution & Other Advertising Svcs data is updated monthly, averaging 15.525 USD from Jan 1990 (Median) to Dec 2024, with 420 observations. The data reached an all-time high of 30.290 USD in Dec 2022 and a record low of 8.620 USD in Jan 1990. United States AHE: PW: PB: Ads Material Distribution & Other Advertising Svcs data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G070: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers.

  4. g

    GLA Economics - Apprenticeship Statistics for London | gimi9.com

    • gimi9.com
    Updated Jun 19, 2020
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    (2020). GLA Economics - Apprenticeship Statistics for London | gimi9.com [Dataset]. https://gimi9.com/dataset/london_gla-economics-skills-and-employment-analysis
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    Dataset updated
    Jun 19, 2020
    License

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

    Area covered
    London
    Description

    This page presents analysis and data related to skills and employment in London Note on data sources and interpretation: The analysis is not intended to be comprehensive or exhaustive. It is a snapshot analysis of key data as it pertains to London. The analysis does not represent the full body of evidence on which Mayoral Policies are, or will be, based. Outputs should be triangulated with other sources of information and analysis to develop a rounded statistical picture of specific policy issues.

  5. Economic review: April 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Apr 27, 2020
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    Economic review: April 2020 [Dataset]. https://www.gov.uk/government/statistics/economic-review-april-2020
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    Dataset updated
    Apr 27, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  6. Share of economic sectors in the GDP in Portugal 2012-2023

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Share of economic sectors in the GDP in Portugal 2012-2023 [Dataset]. https://www.statista.com/statistics/372187/share-of-economic-sectors-in-the-gdp-in-portugal/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Portugal
    Description

    This statistic shows the share of economic sectors in gross domestic product (GDP) in Portugal from 2013 to 2023. In 2023, the share of agriculture in Portugal's gross domestic product was 2.12 percent, industry contributed approximately 18.15 percent and the services sector contributed about 66.76 percent.

  7. t

    Household Income

    • townofoyen.com
    • maplecreek.ca
    • +75more
    Updated Jun 12, 2018
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    (2018). Household Income [Dataset]. https://www.townofoyen.com/p/economic-development
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    Dataset updated
    Jun 12, 2018
    Description

    The household incomes chart shows how many household fall in each of the income brackets specified by Statistics Canada.

  8. g

    Population and sample of wages (salaries) statistics by economic activity...

    • gimi9.com
    Updated Mar 7, 2025
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    (2025). Population and sample of wages (salaries) statistics by economic activity (emtak 2008) (2009–2017, quarters) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_oai-avaandmed-eesti-ee-07af0d2c-6be7-4078-9526-672eef1c7647
    Explore at:
    Dataset updated
    Mar 7, 2025
    License

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

    Description

    Population and sample of wages (salaries) statistics by economic activity (emtak 2008) (2009–2017, quarters).

  9. U

    United States AHE: PW: WT: DG: Miscellaneous Professional & Commercial Eqpt

    • ceicdata.com
    Updated Nov 29, 2022
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    CEICdata.com (2022). United States AHE: PW: WT: DG: Miscellaneous Professional & Commercial Eqpt [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-hourly-earnings-production-workers/ahe-pw-wt-dg-miscellaneous-professional--commercial-eqpt
    Explore at:
    Dataset updated
    Nov 29, 2022
    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, 2021 - Nov 1, 2022
    Area covered
    United States
    Variables measured
    Wage/Earnings
    Description

    United States AHE: PW: WT: DG: Miscellaneous Professional & Commercial Eqpt data was reported at 31.800 USD in Nov 2022. This records an increase from the previous number of 31.600 USD for Oct 2022. United States AHE: PW: WT: DG: Miscellaneous Professional & Commercial Eqpt data is updated monthly, averaging 18.870 USD from Jan 1990 (Median) to Nov 2022, with 395 observations. The data reached an all-time high of 31.800 USD in Nov 2022 and a record low of 10.600 USD in Jan 1990. United States AHE: PW: WT: DG: Miscellaneous Professional & Commercial Eqpt data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G062: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers.

  10. U

    United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin...

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings/avg-weekly-earnings-os-dry-cleaning--laundry-ex-coin-operated
    Explore at:
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated data was reported at 528.540 USD in May 2018. This records a decrease from the previous number of 535.460 USD for Apr 2018. United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated data is updated monthly, averaging 439.230 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 537.420 USD in Dec 2017 and a record low of 378.000 USD in Aug 2006. United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

  11. F

    Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years...

    • fred.stlouisfed.org
    json
    Updated Feb 17, 2025
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    (2025). Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LREM25FEUSM156S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States (LREM25FEUSM156S) from Jan 1977 to Jan 2025 about 25 to 54 years, employment-population ratio, females, employment, population, rate, and USA.

  12. Economic Community of Central African States Statistics, 2013

    • data.amerigeoss.org
    • data.humdata.org
    • +1more
    xlsx
    Updated Oct 12, 2021
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    UN Humanitarian Data Exchange (2021). Economic Community of Central African States Statistics, 2013 [Dataset]. https://data.amerigeoss.org/el/dataset/economic-community-of-central-african-states-statistics-2013
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    xlsx(949178)Available download formats
    Dataset updated
    Oct 12, 2021
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Description

    Economic Community of Central African States Statistics, 2013

  13. F

    Infra-Annual Labor Statistics: Inactivity Rate Total: From 15 to 64 Years...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
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    (2025). Infra-Annual Labor Statistics: Inactivity Rate Total: From 15 to 64 Years for France [Dataset]. https://fred.stlouisfed.org/series/LRIN64TTFRQ156N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    France
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Inactivity Rate Total: From 15 to 64 Years for France (LRIN64TTFRQ156N) from Q1 1999 to Q3 2024 about 15 to 64 years, France, participation, labor force, labor, and rate.

  14. f

    Chi-square test of the estimation of recovery rates of defaulted corporate...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
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    Rongda Chen; Ze Wang (2023). Chi-square test of the estimation of recovery rates of defaulted corporate loans. [Dataset]. http://doi.org/10.1371/journal.pone.0068238.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rongda Chen; Ze Wang
    License

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

    Description

    Pearson’s Chi-squared test.X-squared = 0.227238, df = 3, p-value = 0.973077.

  15. T

    Angola Employed Persons

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +17more
    csv, excel, json, xml
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    TRADING ECONOMICS, Angola Employed Persons [Dataset]. https://tradingeconomics.com/angola/employed-persons
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    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
    Dec 31, 2018 - Sep 30, 2024
    Area covered
    Angola
    Description

    The number of employed persons in Angola increased to 12315.28 Thousand in the third quarter of 2024 from 12108.85 Thousand in the second quarter of 2024. This dataset provides - Angola Employed Persons- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. Distribution of gross domestic product (GDP) across economic sectors Costa...

    • statista.com
    Updated Dec 15, 2024
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    Statista (2024). Distribution of gross domestic product (GDP) across economic sectors Costa Rica 2023 [Dataset]. https://www.statista.com/statistics/443233/costa-rica-gdp-distribution-across-economic-sectors/
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    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Costa Rica
    Description

    This statistic shows the distribution of the gross domestic product (GDP) across economic sectors in Costa Rica from 2013 to 2023. In 2023, agriculture contributed around 3.8 percent to the GDP of Costa Rica, 20.46 percent came from the industry and 67.99 percent from the services sector.

  17. T

    Peru Fiscal Expenditure

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +18more
    csv, excel, json, xml
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    TRADING ECONOMICS, Peru Fiscal Expenditure [Dataset]. https://tradingeconomics.com/peru/fiscal-expenditure
    Explore at:
    excel, xml, json, csvAvailable download formats
    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 31, 1986 - Feb 28, 2025
    Area covered
    Peru
    Description

    Fiscal Expenditure in Peru increased to 16718.20 PEN Million in February from 13347.60 PEN Million in January of 2025. This dataset provides - Peru Fiscal Expenditure- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. i

    Grant Giving Statistics for Calvin K. Kazanjian Economics Foundation

    • instrumentl.com
    Updated Jan 15, 2021
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    (2021). Grant Giving Statistics for Calvin K. Kazanjian Economics Foundation [Dataset]. https://www.instrumentl.com/990-report/calvin-k-kazanjian-economics-foundation-inc
    Explore at:
    Dataset updated
    Jan 15, 2021
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Calvin K. Kazanjian Economics Foundation

  19. Employment by economic sector in South Korea 2022

    • statista.com
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    Statista, Employment by economic sector in South Korea 2022 [Dataset]. https://www.statista.com/statistics/604702/employment-by-economic-sector-in-south-korea/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    The statistic shows the distribution of employment in South Korea by economic sector from 2012 to 2022. In 2022, 5.43 percent of the employees in South Korea were active in the agricultural sector, 24.46 percent in industry and 70.11 percent in the services sector.

  20. i

    Grant Giving Statistics for Hope Economic Development and Learning Center

    • instrumentl.com
    Updated Dec 20, 2022
    + more versions
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    (2022). Grant Giving Statistics for Hope Economic Development and Learning Center [Dataset]. https://www.instrumentl.com/990-report/hope-economic-development-and-learning-center
    Explore at:
    Dataset updated
    Dec 20, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Hope Economic Development and Learning Center

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Santa Clara County Public Health (2018). Economics & Education Statistics - Zip Code [Dataset]. https://hub.arcgis.com/maps/sccphd::economics-education-statistics-zip-code

Economics & Education Statistics - Zip Code

Explore at:
Dataset updated
Feb 21, 2018
Dataset authored and provided by
Santa Clara County Public Health
License

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

Area covered
Description

Zip Code; Median household income; Unemployed (ages GE 16); Families below 185% FPL; Children (ages 0-17) below 185% FPL; Children (ages 3-4) enrolled in preschool or nursery school; Less than high school; High school graduate; Some college or associates degree; College graduate or higher; High school graduate or less. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

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