100+ datasets found
  1. s

    Median Age

    • saugeenshores.ca
    • libertymissouri.gov
    • +75more
    Updated Jun 12, 2018
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    (2018). Median Age [Dataset]. https://www.saugeenshores.ca/en/invest-and-plan/key-economic-indicators.aspx
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    Dataset updated
    Jun 12, 2018
    Description

    The median age indicates the age separating the population group into two halves of equal size.

  2. Socio-Economic Profile of Refugees, 2018-2019 - Brazil

    • microdata.worldbank.org
    • microdata.unhcr.org
    • +1more
    Updated Apr 22, 2021
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    United Nations High Commissioner for Refugees (UNHCR) (2021). Socio-Economic Profile of Refugees, 2018-2019 - Brazil [Dataset]. https://microdata.worldbank.org/index.php/catalog/3909
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    Dataset updated
    Apr 22, 2021
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    United Nations High Commissioner for Refugees (UNHCR)
    Time period covered
    2018 - 2019
    Area covered
    Brazil
    Description

    Abstract

    This study is the result of the socio-demographic and labor analysis of refugee residents in Brazil and represents a milestone in the production of knowledge about the integration of this population into the country. The study shows that most of the interviewees maintain close ties with family, friends and entities located in the countries of origin and, at the same time, demonstrate great knowledge of the Brazilian culture and want to become Brazilian citizens. Nevertheless, they pointed out obstacles to integration, including discriminatory acts. Several factors explain the vulnerability of the refugee population in Brazil: labor market, low wages or insufficient income, difficulty in recognizing diplomas and accessing public or banking services. All these factors, common to a large part of the Brazilian population, have a more striking impact on the quality of life of the refugee population.

    Analysis unit

    Individual

    Sampling procedure

    For the realization of the field work, a sample design was elaborated to take into account the intentional sampling by quotas, to estimate proportions of sociodemographic variables, with a total of 500 interviews being established. This sample was applied in 14 cities, distributed in eight Federation Units which concentrate 94% of refugees under the protection of the Brazilian government. The allocation of the number of interviews in each of the states took into account their relative share in the total sample.

    Mode of data collection

    Face-to-face [f2f]

  3. DCMS Sector National Economic Estimates: 2011 to 2020

    • gov.uk
    Updated Nov 22, 2024
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    Department for Culture, Media and Sport (2024). 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: Rachel Moyce.

    For any queries or feedback, contact <a href="mailto

  4. Small Business Profiles for the States and Territories - 2021

    • datasets.ai
    • catalog.data.gov
    0
    Updated Jul 28, 2022
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    Small Business Administration (2022). Small Business Profiles for the States and Territories - 2021 [Dataset]. https://datasets.ai/datasets/small-business-profiles-for-the-states-and-territories-2021
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    0Available download formats
    Dataset updated
    Jul 28, 2022
    Dataset authored and provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    The Office of Advocacy’s Small Business Profiles are an annual portrait of each state’s small business. They gather the latest federal data into state-by-state snapshots of small business health and economic activity. Limited economic data is also provided for the U.S. territories. This year’s profiles report on state economic growth and employment, income and finance, employer business owner demographics, turnover among establishments with employees, international trade, small business employment by industry and county, and self-employment by county, and small businesses by industry.

  5. o

    Economic land concessions profile: Chhun Hong Rubber Better - Library...

    • data.opendevelopmentmekong.net
    Updated Jan 11, 2016
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    (2016). Economic land concessions profile: Chhun Hong Rubber Better - Library records OD Mekong Datahub [Dataset]. https://data.opendevelopmentmekong.net/dataset/economic-land-concessions-profile-chhun-hong-rubber-better
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    Dataset updated
    Jan 11, 2016
    License

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

    Description

    A webpage list showing company name, address, director name and nationality, status of company registration with the Ministry of Commerce, legal papers and investment rights, ELC size and location with coordinates, purpose of investment, contract duration, land utilization plan, profess of implementation after contract signing, and any measures taken by the Ministry of Agriculture (MAFF).

  6. Economic Estimates: Employment January 2024 to December 2024 for DCMS...

    • gov.uk
    Updated Aug 14, 2025
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    Department for Culture, Media and Sport (2025). Economic Estimates: Employment January 2024 to December 2024 for DCMS Sectors [Dataset]. https://www.gov.uk/government/statistics/economic-estimates-employment-january-2024-to-december-2024-for-dcms-sectors
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    Dataset updated
    Aug 14, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    About

    These economic estimates are used to provide an estimate of the contribution of DCMS sectors to the UK economy, measured by employment (number of filled jobs). These estimates are calculated based on the Office for National Statistics (ONS) Annual Population Survey (APS).

    Notice on Accreditation:

    The statistics in this series (including this release) will be classed as official statistics in development until further review. On 4 August 2025, the Office for Statistics Regulation (OSR) https://osr.statisticsauthority.gov.uk/correspondence/ed-humpherson-to-sarah-alloway-lasher-suspension-of-official-statistics-accreditation/">temporarily suspended the accreditation from this employment series, at https://osr.statisticsauthority.gov.uk/correspondence/sarah-alloway-lasher-to-ed-humpherson-suspension-of-official-statistics-accreditation/">our request, following ONS https://osr.statisticsauthority.gov.uk/correspondence/michael-keoghan-to-siobhan-tuohy-smith-request-to-suspend-aps-accreditation/">reporting concerns with the quality of estimates for smaller segments of the APS population, which the DCMS Sector Economic Estimates: Employment series depends on.

    Due to ongoing challenges with response rates, response levels and weighting, the accreditation of ONS statistics based on Annual Population Survey (APS) was https://osr.statisticsauthority.gov.uk/correspondence/michael-keoghan-to-siobhan-tuohy-smith-request-to-suspend-aps-accreditation/">temporarily suspended on 9 October 2024. Because of the increased volatility of both Labour Force Survey (LFS) and APS estimates, the ONS advises that estimates produced using these datasets should be treated with additional caution. ONS statistics based on both the APS and LFS will be considered official statistics in development until further review.

    Following the ONS reporting concerns regarding the quality of the APS estimates, particularly for smaller segments of the population, we conducted analysis to understand the quality of DCMS employment estimates. Consequently, we have concerns regarding increased volatility due to low APS sample sizes and its impact on the reliability and quality of our estimates. The statistics in this series will be classified as official statistics in development until further review. Previous releases in the series have been classified as accredited official statistics, meaning that they have been independently assessed by the OSR as complying with the standards of trustworthiness, quality and value in the Code of Practice for Statistics.

    Content

    DCMS Sectors

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • civil society
    • creative industries
    • cultural sector
    • gambling
    • sport
    • tourism

    Tourism estimates are available up to 2023 only due to data availability. We have made some revisions to employment estimates for the tourism sector and DCMS sectors overall for the years 2016 to 2019, following revisions made by the ONS to the underlying https://www.ons.gov.uk/economy/nationalaccounts/satelliteaccounts/datasets/uktourismsatelliteaccounttsatables">Tourism Satellite Account data.

    The release also includes estimates for the audio visual sector, computer games sector and art and antiques market.

    Users should note that there is overlap between DCMS sector definitions. In particular, several cultural sector industries are simultaneously creative industries.

    A definition for each sector is available in the tables published alongside this release. Further information on all these sectors is available in the associated technical report along with details of methods and data limitations.

    Alongside these calendar year employment estimates, we would usually publish APS earnings estimates to provide detailed demographic information about earnings in DCMS sectors. Due to ongoing challenges with the quality of APS data, we have not published these estimates in this release. We will explore producing these estimates in future as the quality of APS data improves.

    Headline findings

    Estimates of the number of filled jobs in the included DCMS sectors in 2024 show that:

    • There were 4.0 million total filled jobs in the included DCMS sectors in 2024, representing 11.7% of UK total filled jobs. Tourism data is available up to 2023 and provisional estimates show that there were 4.9 million filled jobs in DCMS sectors overall (incl tourism) in 2023, 14.4% of UK total filled jobs.
    • Employment in the included DCMS sectors (excluding tourism) g

  7. U

    United States Employment: NF: sa: PW: OS: Business Association

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Employment: NF: sa: PW: OS: Business Association [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-production-worker-non-farmseasonally-adjusted/employment-nf-sa-pw-os-business-association
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    Dataset updated
    Mar 29, 2018
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: sa: PW: OS: Business Association data was reported at 85.300 Person th in May 2018. This records an increase from the previous number of 84.700 Person th for Apr 2018. United States Employment: NF: sa: PW: OS: Business Association data is updated monthly, averaging 77.500 Person th from Jan 1982 (Median) to May 2018, with 437 observations. The data reached an all-time high of 96.100 Person th in Apr 2008 and a record low of 57.500 Person th in Jul 1983. United States Employment: NF: sa: PW: OS: Business Association 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.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

  8. w

    Greenland - Complete Country Profile & Statistics 2025

    • worldviewdata.com
    html
    Updated Nov 9, 2025
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    World View Data (2025). Greenland - Complete Country Profile & Statistics 2025 [Dataset]. https://www.worldviewdata.com/countries/greenland
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    htmlAvailable download formats
    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    World View Data
    License

    https://worldviewdata.com/termshttps://worldviewdata.com/terms

    Time period covered
    2025
    Area covered
    Variables measured
    Area, Population, Literacy Rate, GDP per capita, Life Expectancy, Population Density, Human Development Index, GDP (Gross Domestic Product), Geographic Coordinates (Latitude, Longitude)
    Description

    Comprehensive socio-economic dataset for Greenland including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

  9. U

    United States Agg Weekly Payrolls: sa: Index: Mfg: Food

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Agg Weekly Payrolls: sa: Index: Mfg: Food [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-aggregate-weekly-payroll-index-seasonally-adjusted/agg-weekly-payrolls-sa-index-mfg-food
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    Dataset updated
    Feb 15, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Agg Weekly Payrolls: sa: Index: Mfg: Food data was reported at 205.300 2007=100 in Apr 2025. This records an increase from the previous number of 205.100 2007=100 for Mar 2025. United States Agg Weekly Payrolls: sa: Index: Mfg: Food data is updated monthly, averaging 127.150 2007=100 from Mar 2006 (Median) to Apr 2025, with 230 observations. The data reached an all-time high of 205.300 2007=100 in Apr 2025 and a record low of 93.600 2007=100 in Mar 2006. United States Agg Weekly Payrolls: sa: Index: Mfg: Food 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.G083: Current Employment Statistics: Aggregate Weekly Payroll Index: Seasonally Adjusted.

  10. a

    Slovenska Bistrica: Social & Economic Profile-Land use

    • hub-in-geotool-slovenska-bistrica-sl-lisboaenova.hub.arcgis.com
    Updated Feb 9, 2022
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    Geral_Hubin (2022). Slovenska Bistrica: Social & Economic Profile-Land use [Dataset]. https://hub-in-geotool-slovenska-bistrica-sl-lisboaenova.hub.arcgis.com/maps/bf5f8662fe3141cd952a1d4a3ebf7b3f
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    Dataset updated
    Feb 9, 2022
    Dataset authored and provided by
    Geral_Hubin
    Area covered
    Description

    This map contain economic information of the buildings (based in translation and categorization by users) and land use areas. we can cross both layers to see if the intended used is taking places based on land use assignation and the function of the reported building. This information could be crossed with environmental information.

  11. U

    United States Avg Hourly Earnings: sa: CO: Water & Sewer System

    • ceicdata.com
    Updated Mar 30, 2018
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    CEICdata.com (2018). United States Avg Hourly Earnings: sa: CO: Water & Sewer System [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-seasonally-adjusted
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    Dataset updated
    Mar 30, 2018
    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

    Avg Hourly Earnings: sa: CO: Water & Sewer System data was reported at 28.290 USD in May 2018. This records an increase from the previous number of 28.270 USD for Apr 2018. Avg Hourly Earnings: sa: CO: Water & Sewer System data is updated monthly, averaging 25.190 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 28.440 USD in Dec 2017 and a record low of 20.850 USD in Mar 2006. Avg Hourly Earnings: sa: CO: Water & Sewer System 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.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.

  12. 2017 Economic Census: EC1753BASIC | Real Estate and Rental and Leasing:...

    • data.census.gov
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    ECN, 2017 Economic Census: EC1753BASIC | Real Estate and Rental and Leasing: Summary Statistics for the U.S., States, and Selected Geographies: 2017 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/table/ECNBASIC2017.EC1753BASIC?q=Longhorn%20Truck%20Accessories
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2017
    Area covered
    United States
    Description

    Release Date: 2020-06-09.Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. .Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector53/EC1753BASIC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

  13. DCMS Sectors Economic Estimates 2022: Business Demographics

    • gov.uk
    Updated Nov 16, 2023
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    Department for Digital, Culture, Media & Sport (2023). DCMS Sectors Economic Estimates 2022: Business Demographics [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-2022-business-demographics
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    Dataset updated
    Nov 16, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    About

    These Economic Estimates are National Statistics providing an estimate of the contribution of DCMS Sectors to the UK economy, measured by the number of businesses.

    We have experimented with using a different, more timely data source to calculate this year’s Business Demographics statistics. As a result, they are not comparable with earlier DCMS Sector Business Demographics publications. More information is provided in these published documents and in the “Call for Feedback” section below.

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms
    • Tourism (defined in this release as the Tourism Industries)

    Users should note that there is overlap between DCMS Sector definitions and that the Telecoms sector sits wholly within the Digital sector. Estimates are not available for the Civil Society sector, because they are not identifiable in the data source used for this release.

    The release also includes estimates for the Audio Visual sector, which is not a DCMS Sector but is “adjacent” to it and includes some industries also common to DCMS Sectors.

    A definition for each sector is available in the published data tables.

    Released

    These statistics were first published on 8 December 2022

    Call for Feedback

    In this publication we have experimented with using a snapshot of the Inter-Departmental Business Register (IDBR) to generate estimates of DCMS Business Demographics, rather than the Annual Business Survey (ABS) as in previous releases. This has the advantage of being more timely, and commits to most tables included in previous Business Demographics publications. We have used the March 2019, March 2020, March 2021 and March 2022 snapshots from the ONS https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/datasets/ukbusinessactivitysizeandlocation">UK business: activity, size and location release rather than raw data from the IDBR.

    We are looking for feedback on this approach. We particularly welcome views on:

    • Continuing with this approach using the more timely IDBR data source.
    • Returning to the previous approach using the ABS as a data source.
    • Experimenting with a ‘mixed approach’ where estimates would be produced using the IDBR snapshot, supplemented with further data from the ABS to produce additional tables.

    Please contact evidence@dcms.gov.uk before Thursday 9th February 2023 with any feedback.

    Hard copy feedback can be sent to:

    DCMS Economic Estimates Team
    Department for Digital, Culture, Media & Sport
    4th Floor - area 4/34
    100 Parliament Street
    London
    SW1A 2BQ

    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 analyst: Eri Hutchinson

    For any queries or feedback, please contact evidence@dcms.gov.uk.

  14. 2012 Economic Census: EC1256SSSZ6 | Administrative and Support and Waste...

    • data.census.gov
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    ECN, 2012 Economic Census: EC1256SSSZ6 | Administrative and Support and Waste Management and Remediation Services: Subject Series - Establishment and Firm Size: Summary Statistics by Concentration of Largest Firms for the U.S.: 2012 (ECN Core Statistics Economic Census: Establishment and Firm Size Statistics for the U.S.) [Dataset]. https://data.census.gov/table/ECNSIZE2012.EC1256SSSZ6?q=GUTTERS+PLUS
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2012
    Area covered
    United States
    Description

    Table NameAdministrative and Support and Waste Management and Remediation Services: Subject Series: Estab & Firm Size: Summary Statistics by Concentration of Largest Firms for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1256SSSZ1 through EC1256SSSZ5 and EC1256SSSZ7 present data by employment and receipts size for establishments and firms, single unit and multiunit firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Administrative and Support and Waste Management and Remediation Services (Sector 56).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Establishments.Receipts.Receipts of largest firms as a percent of total receipts.Annual payroll.First-quarter payroll.Paid employees.Each record includes a CONCENFI code which represents a specific firm concentration category (including all firms, 4 largest firms, 8 largest firms, 20 largest firms, and 50 largest firms).FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector56/EC1256SSSZ6.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only firms and establishments of firms with payroll. Excludes data for corporate, subsidiary, and regional managing offices and establishments of these firms that are classified in other categories than those specified in this file. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  15. DCMS Sectors Economic Estimates: Regional GVA 2023

    • gov.uk
    Updated Oct 17, 2025
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    Department for Culture, Media and Sport (2025). DCMS Sectors Economic Estimates: Regional GVA 2023 [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-regional-gva-2023
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    Dataset updated
    Oct 17, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    Headline findings

    • Our annual GVA 2023 provisional statistics estimated that GVA by DCMS sectors was £220.3 billion in 2023, 9.3% of the UK economy. The part generated from creative industries, culture, gambling and sport was £150.2 billion, making up 6.3% of UK GVA. This publication shows how that GVA is distributed by region. Tourism and civil society are not included in this release due to data availability.
    • London and the South East combined generated the majority of included DCMS sector GVA in 2023, generating 46.3% and 16.0% respectively. This pattern is driven by the creative industries, the largest included sector, and the overlapping cultural sector, which are heavily concentrated in London. In the gambling and sport sectors, regional differences are less pronounced.
    • Included DCMS sector GVA fell in all regions between 2022 and 2023.
    • Compared to 2019 (pre-pandemic), included DCMS sector GVA overall in 2023 was similar but this varies substantially by region.

    About

    These Economic Estimates are Official Statistics used to provide an estimate of the contribution of DCMS sectors to each region in the UK, measured by GVA (gross value added). This is the first release of provisional regional estimates for 2023. This release contains some revisions to the back series.

    Content

    These statistics cover the contributions of the following sectors to the UK economy:

    • creative industries
    • cultural sector
    • gambling
    • sport

    Users should note that there is overlap between DCMS sector definitions and that several cultural sector industries are simultaneously creative industries.

    The release also includes estimates for the audio visual sector, computer games subsector and arts and antiques market.

    Estimates of tourism and civil society GVA are not available at present, due to a lack of regional data.

    Released

    These statistics were first published on 3 July 2025.

    Feedback

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

    Office for Statistics Regulation

    These official statistics were independently reviewed by the Office for Statistics Regulation (OSR) in June 2019. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/">Code of Practice for Statistics and should be labelled accredited official statistics. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007.

    Our statistical practice is regulated by the OSR. OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.

    You are welcome to contact us directly with any comments about how we meet these standards by emailing evidence@dcms.gov.uk. Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.

    The responsible analyst for this release is Rachel Moyce. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.

    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.

  16. 2012 Economic Census: EC1242A1 | Wholesale Trade: Geographic Area Series:...

    • data.census.gov
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    ECN, 2012 Economic Census: EC1242A1 | Wholesale Trade: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/table/ECNBASIC2012.EC1242A1?q=Motor+Medic
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2012
    Area covered
    United States
    Description

    Table NameWholesale Trade: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in February 2015 and ending in October 2015.Key TableInformationThese data supersede the data released in the Industry Series file for Wholesale Trade (Sector 42) from the 2012 Economic Census. See Methodology for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Wholesale Trade (Sector 42).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data are shown for 2- through 8-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:Establishments Sales Annual payroll First-quarter payroll Paid employees Operating expenses Total inventories, beginning of year Total inventories, end of year Percent of sales from administrative records Percent of sales estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector42/EC1242A1.zip..ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff . Washington, DC 20233-6900. Tel: (800) 242-2184 . Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center.. These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  17. w

    Aruba - Complete Country Profile & Statistics 2025

    • worldviewdata.com
    html
    Updated Nov 9, 2025
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    World View Data (2025). Aruba - Complete Country Profile & Statistics 2025 [Dataset]. https://www.worldviewdata.com/countries/aruba
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    htmlAvailable download formats
    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    World View Data
    License

    https://worldviewdata.com/termshttps://worldviewdata.com/terms

    Time period covered
    2025
    Area covered
    Variables measured
    Area, Population, Literacy Rate, GDP per capita, Life Expectancy, Population Density, Human Development Index, GDP (Gross Domestic Product), Geographic Coordinates (Latitude, Longitude)
    Description

    Comprehensive socio-economic dataset for Aruba including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

  18. U

    United States Diffusion Index: sa: Mfg: 3 Months Span

    • ceicdata.com
    Updated Apr 1, 2018
    + more versions
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    CEICdata.com (2018). United States Diffusion Index: sa: Mfg: 3 Months Span [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-diffusion-index/diffusion-index-sa-mfg-3-months-span
    Explore at:
    Dataset updated
    Apr 1, 2018
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Diffusion Index: sa: Mfg: 3 Months Span data was reported at 67.100 Unit in Oct 2018. This records an increase from the previous number of 63.200 Unit for Sep 2018. United States Diffusion Index: sa: Mfg: 3 Months Span data is updated monthly, averaging 49.000 Unit from Jan 1991 (Median) to Oct 2018, with 334 observations. The data reached an all-time high of 82.200 Unit in Nov 1997 and a record low of 2.600 Unit in Mar 2009. United States Diffusion Index: sa: Mfg: 3 Months Span data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G041: Current Employment Statistics Survey: Diffusion Index.

  19. r

    Census - Community Profile

    • researchdata.edu.au
    Updated Jun 22, 2015
    + more versions
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    Port Adelaide Enfield Council (2015). Census - Community Profile [Dataset]. https://researchdata.edu.au/census-community-profile/1952813
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    Dataset updated
    Jun 22, 2015
    Dataset provided by
    data.sa.gov.au
    Authors
    Port Adelaide Enfield Council
    License

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

    Description

    The City of Port Adelaide Enfield Community Profile provides demographic and economic analysis for the Council area and its suburbs based on results from the 2016, 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with population estimates when the Australian Bureau of Statistics (ABS) releases new figures. \r This is an interactive query tool where results can be downloaded in various formats. Three reporting types are available from this resource: \r 1. Social atlas that delivers the data displayed on a map showing each SA1 area (approx 200 households), \r 2. Community Profile which delivers data at a District level which contain 2 to 3 suburbs, and \r 3. Economic Profile which reports statistics of an economic indicators.\r The general community profile/social atlas themes available for reporting on are: \r -Age \r -Education \r -Ethnicity \r -Disability \r -Employment/Income \r -Household types \r -Indigenous profile \r -Migration \r -Journey to work \r -Disadvantage \r -Population Estimates \r -Building approvals. \r It also possible to navigate to the Community Profiles of some other Councils as well.

  20. Unemployed by economic sector and Autonomous Community

    • ine.es
    csv, html, json +4
    Updated Jul 29, 2011
    + more versions
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    INE - Instituto Nacional de Estadística (2011). Unemployed by economic sector and Autonomous Community [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=5419&L=1
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    txt, xlsx, html, json, text/pc-axis, xls, csvAvailable download formats
    Dataset updated
    Jul 29, 2011
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2005 - Oct 1, 2008
    Variables measured
    Age, Sex, Unit, Group, Occupation, Economic sector, Professional status, Type of working day, Inactivity situation, Socio-economic condition, and 6 more
    Description

    Economically Active Population Survey (EAPS): Unemployed by economic sector and Autonomous Community. Quarterly. Autonomous Communities and Cities.

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(2018). Median Age [Dataset]. https://www.saugeenshores.ca/en/invest-and-plan/key-economic-indicators.aspx

Median Age

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Dataset updated
Jun 12, 2018
Description

The median age indicates the age separating the population group into two halves of equal size.

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