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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
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.
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.
These statistics cover the economic contribution of the following DCMS sectors to the UK economy:
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:
These statistics were first published on 23 December 2021
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.
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.
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.
Responsible statistician
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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.
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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.
Official statistics are produced impartially and free from political influence.
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.
The household incomes chart shows how many household fall in each of the income brackets specified by Statistics Canada.
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Population and sample of wages (salaries) statistics by economic activity (emtak 2008) (2009–2017, quarters).
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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.
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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.
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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.
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Economic Community of Central African States Statistics, 2013
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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.
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Pearson’s Chi-squared test.X-squared = 0.227238, df = 3, p-value = 0.973077.
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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.
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.
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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.
Financial overview and grant giving statistics of Calvin K. Kazanjian Economics Foundation
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.
Financial overview and grant giving statistics of Hope Economic Development and Learning Center
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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