100+ datasets found
  1. Taking Part 2010/11 quarter 4: Statistical release

    • gov.uk
    Updated Aug 9, 2011
    + more versions
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    Department for Digital, Culture, Media & Sport (2011). Taking Part 2010/11 quarter 4: Statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-the-national-survey-of-culture-leisure-and-sport-2010-11
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    Dataset updated
    Aug 9, 2011
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    The latest estimates from the 2010/11 Taking Part adult survey produced by DCMS were released on 30 June 2011 according to the arrangements approved by the UK Statistics Authority.

    Released:

    30 June 2011
    **

    Period covered:

    April 2010 to April 2011
    **

    Geographic coverage:

    National and Regional level data for England.
    **

    Next release date:

    Further analysis of the 2010/11 adult dataset and data for child participation will be published on 18 August 2011.

    Summary

    The latest data from the 2010/11 Taking Part survey provides reliable national estimates of adult engagement with sport, libraries, the arts, heritage and museums & galleries. This release also presents analysis on volunteering and digital participation in our sectors and a look at cycling and swimming proficiency in England. The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.

    Statistical Report

    Statistical Worksheets

    These spreadsheets contain the data and sample sizes for each sector included in the survey:

    Previous release

    The previous Taking Part release was published on 31 March 2011 and can be found online.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the http://www.statisticsauthority.gov.uk/" class="govuk-link">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 document below contains a list of Ministers and Officials who have received privileged early access to this release of Taking Part data. 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.

    The responsible statistician for this release is Neil Wilson. For any queries please contact the Taking Part team on 020 7211 6968 or takingpart@culture.gsi.gov.uk.

    Releated information

    • <a rel="extern

  2. Meaning of “financial peace of mind” to Americans 2016

    • statista.com
    Updated Nov 23, 2020
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    Statista (2020). Meaning of “financial peace of mind” to Americans 2016 [Dataset]. https://www.statista.com/statistics/713951/definition-of-financial-peace-of-mind-usa/
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    Dataset updated
    Nov 23, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2016
    Area covered
    United States
    Description

    The statistic shows the meaning of term “financial peace of mind” to Americans as of 2016. In that year, 57 percent of the respondents defined financial peace of mind as the ability to live comfortably within their means.

  3. f

    Descriptive statistics of the variables in the database.

    • figshare.com
    xls
    Updated Jun 10, 2023
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    José M. Gavilán; Juan Haro; José Antonio Hinojosa; Isabel Fraga; Pilar Ferré (2023). Descriptive statistics of the variables in the database. [Dataset]. http://doi.org/10.1371/journal.pone.0254484.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    José M. Gavilán; Juan Haro; José Antonio Hinojosa; Isabel Fraga; Pilar Ferré
    License

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

    Description

    Descriptive statistics of the variables in the database.

  4. d

    Birth Statistics

    • catalog.data.gov
    • data-test-lakecountyil.opendata.arcgis.com
    • +2more
    Updated Nov 22, 2024
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    Lake County Illinois GIS (2024). Birth Statistics [Dataset]. https://catalog.data.gov/dataset/birth-statistics-a76a6
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Lake County Illinois GIS
    Description

    Births rates across Lake County, Illinois by ZIP Code. Explanation of field attributes: LBW - Low birth weight is defined as a birth where the baby weighs less than 2,500 grams. This is a percent. Preterm - Preterm birth is defined as a birth that occur before 37 weeks of pregnancy. This is a percent. Teen Birth – Teen births are defined as women aged 15 to 19 years who give birth. This is a rate. Birth Rate – Birth rate is defined as the number of live births per 1,000 populations. 1st Trimester of Care – 1st Trimester of care refers to the doctor’s visits and care provided during the first 13 weeks of pregnancy. This is a percent.

  5. f

    Data from: Meanings of work for manicurists and hairdressers: employees and...

    • scielo.figshare.com
    xls
    Updated Jun 2, 2023
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    Mariana Machado Souza; Livia de Oliveira Borges (2023). Meanings of work for manicurists and hairdressers: employees and pejotizados [Dataset]. http://doi.org/10.6084/m9.figshare.19923743.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELO journals
    Authors
    Mariana Machado Souza; Livia de Oliveira Borges
    License

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

    Description

    Abstract The research aimed to identify the differentiation of meanings of work among beauty salon workers, considering the work contracts and the functions performed (hairdressers and manicurists), in a context of pejotização and functions’ internal hierarchy. We applied questionnaires to 171 manicurists and hairdressers with the following types of links: employee, informal, MEI pejotizado and MEI não pejotizado. The results indicated that employees perceive with greater intensity the work as a responsibility and as a way of being socially included, and more proportionality in social and financial retribution. They also indicated that manicurists experience with more intensity the characteristics of brutalization, discrimination and demand.

  6. Core Based Statistical Areas

    • catalog.data.gov
    • data-usdot.opendata.arcgis.com
    • +1more
    Updated Aug 21, 2024
    + more versions
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    United States Census Bureau (USCB) (Point of Contact) (2024). Core Based Statistical Areas [Dataset]. https://catalog.data.gov/dataset/core-based-statistical-areas1
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    Dataset updated
    Aug 21, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Core Based Statistical Areas boundaries were defined by OMB based on the 2010 Census, and the dataset was updated on August 09, 2019 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSA boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2018.

  7. e

    7. Administrative data within the meaning of the Law of Ukraine "On State...

    • data.europa.eu
    zip
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    Білоцерківська міська рада та її виконавчі органи, 7. Administrative data within the meaning of the Law of Ukraine "On State Statistics", collected (processed) and subject to disclosure in accordance with the requirements of the law [Dataset]. https://data.europa.eu/data/datasets/8f25540c-818a-4676-90a9-5663c0fed83a
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    zip(36538)Available download formats
    Dataset authored and provided by
    Білоцерківська міська рада та її виконавчі органи
    Description

    The set contains a list of norms of the state statistical observation of the executive committee of Bila Tserkva City Council

  8. i

    Grant Giving Statistics for The Real Meaning Ministries

    • instrumentl.com
    Updated May 11, 2025
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    (2025). Grant Giving Statistics for The Real Meaning Ministries [Dataset]. https://www.instrumentl.com/990-report/real-meaning-ministries
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    Dataset updated
    May 11, 2025
    Description

    Financial overview and grant giving statistics of The Real Meaning Ministries

  9. c

    Industry; production, sales, orders, SIC 2008, 2000-2012

    • cbs.nl
    • data.overheid.nl
    • +3more
    xml
    Updated Mar 26, 2013
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    Centraal Bureau voor de Statistiek (2013). Industry; production, sales, orders, SIC 2008, 2000-2012 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/80092eng
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    xmlAvailable download formats
    Dataset updated
    Mar 26, 2013
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    The tables presents indices (2005=100) and changes on twelve months previously (%) of production, turnover and orders in industry (excl. construction), by sector of industry.

    Data available : January 2000 till December 2012

    Table has been discontinued as from 22 March 2013 due to change of the base year from 2005 to 2010. Statistics Netherlands has started a new table, Industry; production, sales and orders, changes and index (2010 = 100). For more information see sections 3 and 4.

    Status of the figures: Production: three most recent months: provisional. The figures within a reporting year are revised provisional figures until publication in December of the year concerned. Turnover: three most recent months: provisional. Orders: three most recent months: provisional.

    Changes as of 8 July 2011. Due to new regulations (European System for National Accounts, 2010, Balance of Payments Manual 6) for National Accounts and Balance of Payment, the turnover definition has been adapted. This results in adjustments in production index and other short term statistics. The adaptation of the turnover definition is related to a change in registration of enterprises that (partially) contract out their production abroad. The adjustment means that goods dealt with by foreign subsidiaries of Dutch parent companies do count for Dutch production. Goods dealt with in the Netherlands by Dutch subsidiaries of foreign parent companies that remain property of these parent companies do no longer count as Dutch production. However, they count as export of services for the sum that has been added to value in the Netherlands. Until December 2009, index figures for manufacturing turnover are based on the previous turnover definition. From January 2010 onwards, the turnover figures are based on the new turnover definition. Therefore, turnover changes 2010 on 2009 are not accurate.

  10. E

    Data from 'Language learners privilege structured meaning over surface...

    • find.data.gov.scot
    • dtechtive.com
    csv, txt
    Updated Aug 23, 2017
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    University of Edinburgh. School of Philosophy, Psychology and Language Sciences (2017). Data from 'Language learners privilege structured meaning over surface frequency' [Dataset]. http://doi.org/10.7488/ds/2120
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    csv(0.0071 MB), csv(0.0072 MB), csv(0.0073 MB), csv(0.007 MB), txt(0.0166 MB), csv(0.0074 MB), csv(0.0075 MB), csv(0.0076 MB), csv(0.0079 MB), txt(0.1036 MB)Available download formats
    Dataset updated
    Aug 23, 2017
    Dataset provided by
    University of Edinburgh. School of Philosophy, Psychology and Language Sciences
    License

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

    Description

    Although it is widely agreed that learning the syntax of natural languages involves acquiring structure-dependent rules, recent work on acquisition has nevertheless attempted to characterize the outcome of learning primarily in terms of statistical generalizations about surface distributional information. In this paper we investigate whether surface statistical knowledge or structural knowledge of English is used to infer properties of a novel language under conditions of impoverished input. We expose learners to artificial-language patterns that are equally consistent with two possible underlying grammars--one more similar to English in terms of the linear ordering of words, the other more similar on abstract structural grounds. We show that learners' grammatical inferences overwhelmingly favor structural similarity over preservation of superficial order. Importantly, the relevant shared structure can be characterized in terms of a universal preference for isomorphism in the mapping from meanings to utterances. Whereas previous empirical support for this universal has been based entirely on data from cross-linguistic language samples, our results suggest it may reflect a deep property of the human cognitive system--a property that, together with other structure-sensitive principles, constrains the acquisition of linguistic knowledge.

  11. i

    United States Minor Outlying Islands: Carbides, whether or not chemically...

    • app.indexbox.io
    Updated May 15, 2025
    + more versions
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    IndexBox AI Platform (2025). United States Minor Outlying Islands: Carbides, whether or not chemically defined 2019-2025 [Dataset]. https://app.indexbox.io/table/2849/581/monthly/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    United States Minor Outlying Islands
    Description

    Statistics illustrates consumption, production, prices, and trade of Carbides, whether or not chemically defined in United States Minor Outlying Islands from Jan 2019 to May 2025.

  12. i

    Grant Giving Statistics for Defined With Purpose

    • instrumentl.com
    Updated Jun 28, 2022
    + more versions
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    (2022). Grant Giving Statistics for Defined With Purpose [Dataset]. https://www.instrumentl.com/990-report/defined-with-purpose
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    Dataset updated
    Jun 28, 2022
    Description

    Financial overview and grant giving statistics of Defined With Purpose

  13. E

    Software Defined Data Center (SDDC) Market Executive Summary: Key Insights...

    • emergenresearch.com
    pdf
    Updated Mar 3, 2025
    + more versions
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    Emergen Research (2025). Software Defined Data Center (SDDC) Market Executive Summary: Key Insights and Statistics (2024-2033) [Dataset]. https://www.emergenresearch.com/industry-report/software-defined-data-center-market/executive-summary
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    pdfAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Emergen Research
    License

    https://www.emergenresearch.com/purpose-of-privacy-policyhttps://www.emergenresearch.com/purpose-of-privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Access the summary of the Software Defined Data Center (SDDC) market report, featuring key insights, executive summary, market size, CAGR, growth rate, and future outlook.

  14. S

    Digital FootPrint Statistics By Internet Usage, Age Group, Region And Facts...

    • sci-tech-today.com
    Updated Jun 23, 2025
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    Sci-Tech Today (2025). Digital FootPrint Statistics By Internet Usage, Age Group, Region And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/digital-footprint-statistics-updated/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Digital Footprint Statistics: A digital footprint is the trail of information people leave behind when using the internet. It includes everything from social media posts to online searches, websites visited, and emails sent. Some of this data is shared intentionally, like posting on Facebook, while other parts are collected automatically, like tracking cookies from websites.

    A digital footprint can be active, meaning data is shared by choice, or passive, meaning it is collected without you realizing it. It's important to manage your digital footprint because it can affect your privacy, reputation, and even job opportunities in the future. Understanding it helps you stay safe online.

  15. Survey on the definition of being happy in terms of shopping for clothes...

    • statista.com
    Updated Jan 31, 2015
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    Statista (2015). Survey on the definition of being happy in terms of shopping for clothes among women [Dataset]. https://www.statista.com/statistics/599239/definition-of-being-happy-in-terms-of-shopping-for-clothes-among-women-in-the-united-states-women-popsugar/
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    Dataset updated
    Jan 31, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2014
    Area covered
    United States
    Description

    This statistic shows the results of a Popsugar survey conducted in 2014 among American women, asking them to define happiness in terms of shopping for clothes. During the survey, 8.9 percent of respondents said that shoes equaled happiness for them.

  16. U.S. part-time employees seasonally adjusted 2022-2024

    • statista.com
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    Statista, U.S. part-time employees seasonally adjusted 2022-2024 [Dataset]. https://www.statista.com/statistics/192344/seasonally-adjusted-monthly-number-of-part-time-employees-in-the-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    As of October 2024, about 27.93 million people were employed on a part-time basis in the United States. In line with the definition of the BLS, part-time workers are persons who usually work less than 35 hours per week. Seasonal adjustment is a statistical method for removing the seasonal component of a time series used when analyzing non-seasonal trends, whereas non-seasonally-adjusted reflects the actual current data.

  17. P

    Software Defined Data Center Market Size, Share, Growth, 2034

    • polarismarketresearch.com
    Updated May 26, 2025
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    Polaris Market Research (2025). Software Defined Data Center Market Size, Share, Growth, 2034 [Dataset]. https://www.polarismarketresearch.com/industry-analysis/software-defined-data-center-market
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    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Polaris Market Research
    License

    https://www.polarismarketresearch.com/privacy-policyhttps://www.polarismarketresearch.com/privacy-policy

    Description

    The software defined data center market size was valued at USD 77.44 billion in 2024, and it is projected to grow at a CAGR of 19.8% from 2025–2034.

  18. e

    Administrative data within the meaning of the Law of Ukraine "On State...

    • data.europa.eu
    .xlsx, xls(x)
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    Департамент молодіжної політики та спорту Івано-Франківської міської ради, Administrative data within the meaning of the Law of Ukraine "On State Statistics", which are collected (processed) and subject to publication in accordance with the requirements of the law by the Department of Youth Policy and Sports of Ivano-Frankivsk City Council [Dataset]. https://data.europa.eu/data/datasets/faf5c739-2eb8-4dca-a546-3945bbf2c2d7
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    .xlsx(11995), xls(x)(12251), .xlsx(11993)Available download formats
    Dataset authored and provided by
    Департамент молодіжної політики та спорту Івано-Франківської міської ради
    Description

    Administrative data within the meaning of the Law of Ukraine "On State Statistics", which are collected (processed) and subject to publication in accordance with the requirements of the law by the Department of Youth Policy and Sports of Ivano-Frankivsk City Council

  19. S

    Statistical Area 2 2019 (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 5, 2018
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    Stats NZ (2018). Statistical Area 2 2019 (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/98970-statistical-area-2-2019-generalised/
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    mapinfo mif, pdf, kml, geopackage / sqlite, geodatabase, mapinfo tab, csv, shapefile, dwgAvailable download formats
    Dataset updated
    Dec 5, 2018
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    This dataset is the definitive set of statistical area 2 (SA2) boundaries at 1 January 2019 as defined by Stats NZ. SA2 is a new output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. SA2s are defined at SA1 and meshblock levels.

    Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

    For further information see ANZLIC Metadata 2019 Statistical Area 2 attachment below or link to the StatsNZ Classification System Aria.

  20. d

    National Statistics Socio-Economic Classification (NS-SEC) as defined by own...

    • digital.nhs.uk
    Updated Aug 26, 2010
    + more versions
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    (2010). National Statistics Socio-Economic Classification (NS-SEC) as defined by own occupation: percent, by age group, MF [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/compendium-other/current/socio-economic-factors
    Explore at:
    Dataset updated
    Aug 26, 2010
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Description

    Legacy unique identifier: P00032

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Department for Digital, Culture, Media & Sport (2011). Taking Part 2010/11 quarter 4: Statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-the-national-survey-of-culture-leisure-and-sport-2010-11
Organization logo

Taking Part 2010/11 quarter 4: Statistical release

Explore at:
Dataset updated
Aug 9, 2011
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Department for Digital, Culture, Media & Sport
Description

The latest estimates from the 2010/11 Taking Part adult survey produced by DCMS were released on 30 June 2011 according to the arrangements approved by the UK Statistics Authority.

Released:

30 June 2011
**

Period covered:

April 2010 to April 2011
**

Geographic coverage:

National and Regional level data for England.
**

Next release date:

Further analysis of the 2010/11 adult dataset and data for child participation will be published on 18 August 2011.

Summary

The latest data from the 2010/11 Taking Part survey provides reliable national estimates of adult engagement with sport, libraries, the arts, heritage and museums & galleries. This release also presents analysis on volunteering and digital participation in our sectors and a look at cycling and swimming proficiency in England. The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.

Statistical Report

Statistical Worksheets

These spreadsheets contain the data and sample sizes for each sector included in the survey:

Previous release

The previous Taking Part release was published on 31 March 2011 and can be found online.

The UK Statistics Authority

This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the http://www.statisticsauthority.gov.uk/" class="govuk-link">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 document below contains a list of Ministers and Officials who have received privileged early access to this release of Taking Part data. 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.

The responsible statistician for this release is Neil Wilson. For any queries please contact the Taking Part team on 020 7211 6968 or takingpart@culture.gsi.gov.uk.

Releated information

  • <a rel="extern

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