100+ datasets found
  1. English Housing Survey data on stock profile

    • gov.uk
    Updated Jul 17, 2025
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    Ministry of Housing, Communities and Local Government (2025). English Housing Survey data on stock profile [Dataset]. https://www.gov.uk/government/statistical-data-sets/stock-profile
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    Dataset updated
    Jul 17, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description
  2. Gen Z social media profile privacy and multiple accounts in the UK 2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Gen Z social media profile privacy and multiple accounts in the UK 2020 [Dataset]. https://www.statista.com/statistics/1119912/gen-z-social-media-profiles-uk/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United Kingdom
    Description

    A survey conducted in the United Kingdom (UK) in 2020 among teenagers and young adults asked participants whether they had a public or private social media profile. Slightly over half reported having a public profile, while only **** percent had made theirs private. ** percent of respondents however claimed to have a mix of both public and private social media profiles. This relatively high level of trust when it came to social media can perhaps be explained by a 2019 survey, where ** percent of respondents in the UK claimed they had never been a victim of social media or email account hacking before.

    Facebook and WhatsApp lead in the UK

    Among the leading social media platforms, Facebook emerged as the most frequently used among young adults aged 18 to 24 years old in the UK. Nearly ** percent of all respondents cited the social media giant as the app they reached for most often. The second most used app within this age group in the UK was WhatsApp. In contrast, only *** percent used Twitter the most.

    Social media – the new marketing trend

    As social media becomes more and more integrated into our daily lives, brands have been taking note. Social media marketing is a fast growing industry and spend on social media advertising by corporations has been on the rise each year. What began as a nationwide spend of merely **** billion British pounds in 2011 had risen to **** billion British pounds by 2018. According to an annual survey, roughly ** percent of teenagers aged 12 to 15 already have at least one social media account.

  3. English housing survey 2013: profile of English housing report

    • gov.uk
    Updated Jul 16, 2015
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2015). English housing survey 2013: profile of English housing report [Dataset]. https://www.gov.uk/government/statistics/english-housing-survey-2013-profile-of-english-housing-report
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    Dataset updated
    Jul 16, 2015
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Description

    This is the detailed report of findings relating to the housing stock from the English housing survey. It builds on results reported in the English housing survey headline report: 2013 to 2014 published in February 2015.

    The Excel files include annex tables and tables and figures for each chapter.

  4. English Housing Survey Profile of English Housing Report

    • data.gov.uk
    • data.wu.ac.at
    html
    Updated Jul 24, 2014
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    Ministry of Housing, Communities and Local Government (2014). English Housing Survey Profile of English Housing Report [Dataset]. https://data.gov.uk/dataset/5004139e-d434-4d4a-875a-0533f20eec6b/english-housing-survey-profile-of-english-housing-report
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    htmlAvailable download formats
    Dataset updated
    Jul 24, 2014
    Authors
    Ministry of Housing, Communities and Local Government
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Detailed findings from the English Housing Survey on the type and condition of housing in England.

    Source agency: Communities and Local Government

    Designation: National Statistics

    Language: English

    Alternative title: EHS Profile of English Housing Report

  5. Profile of smartphone owners in the United Kingdom (UK) 2014, by...

    • statista.com
    Updated Apr 30, 2015
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    Statista (2015). Profile of smartphone owners in the United Kingdom (UK) 2014, by socioeconomic status [Dataset]. https://www.statista.com/statistics/497813/profile-of-smartphone-owners-by-socioeconomic-status-uk-survey/
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    Dataset updated
    Apr 30, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    United Kingdom
    Description

    This statistic depicts the distribution of responses to a survey regarding smartphone ownership in the United Kingdom (UK), by socioeconomic status. In 2014, ** percent of people with the socioeconomics status AB owned a smartphone.

  6. Millennium Cohort Study: Age 5, Sweep 3, 2006: Foundation Stage Profile and...

    • beta.ukdataservice.ac.uk
    Updated 2024
    + more versions
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    Institute Of Education University Of London (2024). Millennium Cohort Study: Age 5, Sweep 3, 2006: Foundation Stage Profile and Teacher Survey [Dataset]. http://doi.org/10.5255/ukda-sn-8785-1
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Institute Of Education University Of London
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:
    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Health Administrative Datasets (SAIL) for Wales held under SN 9310
    • linked Hospital of Birth data held under SN 5724.
    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

    SN 8785 - Millennium Cohort Study: Age 5, Sweep 3, 2006: Foundation Stage Profile and Teacher Survey
    The Foundation Stage Profile data were collected as part of the Age 5, Sweep 3 survey. The variables of the evaluation of child’s development (e.g. reading, writing) contain linked data to educational records (Foundation Stage Profile for England) and teacher survey that included similar questions to the Foundation Stage Profile (survey responses for Wales, Scotland and Northern Ireland).

  7. bunq brand profile in the UK 2022

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). bunq brand profile in the UK 2022 [Dataset]. https://www.statista.com/forecasts/1304345/bunq-neobanking-and-neobrokerage-brand-profile-in-the-united-kingdom
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 12, 2022 - May 18, 2022
    Area covered
    United Kingdom
    Description

    How high is the brand awareness of bunq in the UK?When it comes to neobanking and neobrokerage users, brand awareness of bunq is at **% in the UK. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is bunq in the UK?In total, *% of UK neobanking and neobrokerage users say they like bunq. However, in actuality, among the **% of UK respondents who know bunq, **% of people like the brand.What is the usage share of bunq in the UK?All in all, *% of neobanking and neobrokerage users in the UK use bunq. That means, of the **% who know the brand, **% use them.How loyal are the customers of bunq?Around *% of neobanking and neobrokerage users in the UK say they are likely to use bunq again. Set in relation to the *% usage share of the brand, this means that **% of their customers show loyalty to the brand.What's the buzz around bunq in the UK?In May 2022, about *% of UK neobanking and neobrokerage users had heard about bunq in the media, on social media, or in advertising over the past four weeks. Of the **% who know the brand, that's **%, meaning at the time of the survey there's some buzz around bunq in the UK.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  8. Z

    urbisphere_gb-london_UR-2: Activities profiles derived from UK Time Use...

    • data.niaid.nih.gov
    • data.europa.eu
    Updated Jul 6, 2024
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    Paskin, Matthew (2024). urbisphere_gb-london_UR-2: Activities profiles derived from UK Time Use Survey data for modelling [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10889765
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    Hertwig, Denise
    Grimmond, Sue
    McGrory, Megan
    Liu, Yiqing
    Smith, Stefan T.
    Paskin, Matthew
    Lo Piano, Samuele
    License

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

    Area covered
    London, United Kingdom
    Description

    Files in this archive

    UK_TUS2014-15_activity_profiles_190324.zip

    Activity profile dataset derived from the UK Time Use Survey (2014/15; *.csv)

    auxiliary_data.zip

    Auxiliary datasets created for processing

    AppliancePowerManufacturer.zip

    Information used to assigned values

    code.zip

    Code to produce the dataset

    Python3.9 Jupyter notebook

    urbisphere_gb-london_UR-2.pdf

    Documentation

    Data purpose

    People’s activities change through the day and between days. Information about human behaviour and the changing locations where activities occur are used in neighbourhood scale agent-based models of anthropogenic heat fluxes and building scale energy modelling to give realistic occupancy and activity-based energy-use timings.

    Linked with

    Hertwig et al. 2024a: urbisphere_presentations_UR-1: Modelling anthropogenic heat emissions from residential buildings-comparison between Berlin and London. EMS Annual Meeting 2023 [Poster]. Zenodo. https://doi.org/10.5281/zenodo.10889863

    Hertwig et al. 2024b: urbisphere_presentations_UR-2: Connecting physical and socio-economic spaces for urban agent-based modelling, EMS Annual Meeting 2023 [Poster]. Zenodo. https://doi.org/10.5281/zenodo.10889885

    McGrory et al. 2024: urbisphere_presentations_UR-3: Dynamic Anthropogenic actiVities and feedback to Emissions (DAVE): An agent-based model for heat and exposure to other anthropogenic emissions. EMS Annual Meeting 2023 [Presentation]. Zenodo. https://doi.org/10.5281/zenodo.10889900

  9. English Housing Survey data on stock profile (UK DCLG statistical data set)

    • earth.org.uk
    Updated Apr 23, 2025
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    UK DCLG (Department for Communities; UK DCLG (Department for Communities; Local Government); Local Government) (2025). English Housing Survey data on stock profile (UK DCLG statistical data set) [Dataset]. https://www.earth.org.uk/bibliography/EHSprofile.html
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    Dataset updated
    Apr 23, 2025
    Authors
    UK DCLG (Department for Communities; UK DCLG (Department for Communities; Local Government); Local Government)
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Data on the English housing stock profile 2013 onwards.

  10. Local tobacco control profiles for England: November 2019 update

    • gov.uk
    Updated Nov 5, 2019
    + more versions
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    Public Health England (2019). Local tobacco control profiles for England: November 2019 update [Dataset]. https://www.gov.uk/government/statistics/local-tobacco-control-profiles-for-england-november-2019-update
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    Dataset updated
    Nov 5, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Area covered
    England
    Description

    The Local Tobacco Control Profiles data update for November 2019 has been published by Public Health England (PHE).

    These profiles have been designed to help local government and health services to assess the effect of tobacco use on their local populations. The data are presented in an interactive tool that allows users to view them in a user-friendly format.

    This update contains:

    • new data for smoking attributable mortality for 2016 to 2018
    • new data for mortality rates from smoking related conditions for 2016 to 2018
    • new data for smoking prevalence in adults for 2018/19 from the GP Patient survey

    See the attached data to be included document for full details of what’s in this update.

    View previous Local Tobacco Control Profiles updates.

  11. Local tobacco control profiles: December 2022 update

    • gov.uk
    Updated Dec 6, 2022
    + more versions
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    Office for Health Improvement and Disparities (2022). Local tobacco control profiles: December 2022 update [Dataset]. https://www.gov.uk/government/statistics/local-tobacco-control-profiles-december-2022-update
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    Dataset updated
    Dec 6, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    The https://fingertips.phe.org.uk/profile/tobacco-control" class="govuk-link">local tobacco control profiles data update for December 2022 has been published by the Office for Health Improvement and Disparities (OHID).

    These profiles have been designed to help local government and health services to assess the effect of tobacco use on their local populations. The data is presented in an interactive tool that allows users to view them in a user-friendly format. The smoking prevalence figures included in this update for 2022 are from the Annual Population Survey (APS).

    This update contains:

    • smoking prevalence in adults (18+) – current smokers (APS)
    • smoking prevalence in adults (18+) – ex-smokers (APS)
    • smoking prevalence in adults (18+) – never smokers (APS)
    • smoking prevalence among adults aged 18 to 64 in routine and manual occupations (APS) (2020 refresh)
    • odds of reporting current smoking status among adults aged 18 to 64 with a routine and manual occupation (APS) (2020 refresh)

    View previous local tobacco control updates.

  12. Workplace Employee Relations Survey, 2011

    • beta.ukdataservice.ac.uk
    Updated 2021
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    Conciliation Advisory; Innovation Department For Business (2021). Workplace Employee Relations Survey, 2011 [Dataset]. http://doi.org/10.5255/ukda-sn-7226-7
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    Dataset updated
    2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Conciliation Advisory; Innovation Department For Business
    Description

    The Workplace Employment Relations Study, 2011 (also known as WERS6) is the sixth in a series of national surveys of employment relations at the workplace level. Earlier surveys were conducted in 1980, 1984, 1990, 1998 and 2004 (the series was originally known as the Workplace Industrial Relations Survey, or WIRS). The aim of each survey in the WERS series has been to provide large-scale, statistically reliable evidence about a broad range of employment relations and practices across almost every sector of the economy in Great Britain. The data were collected to serve three purposes: to map British employment relations over time; to inform policy and practice, and stimulate debate; and to provide a comprehensive and statistically robust dataset on British workplace employment relations for public use.

    The 1990, 1998 and 2004 WERS comprised a freshly selected cross-section sample and a separate, more limited panel sample consisting of workplaces who participated in the previous cross-section survey. The key design innovation of the 2011 WERS was the integration of the two elements so that workplaces in the panel sample were eligible for all four components of WERS 2011. Weights were devised to enable the panel sample to be combined with the fresh sample to form a combined cross-sectionally representative sample. The WERS 2011 has four components: a Survey of Managers comprising the Employee Profile Questionnaire (EPQ) and the Management Questionnaire (MQ); a Survey of Worker Representatives (WRQ); a Survey of Employees (SEQ); and a Financial Performance Questionnaire (FPQ) which detailed the financial performance of trading sector establishments in the 12 months before the survey. The FPQ data, alongside region identifiers, detailed industry codes for the MQ and other anonymised but potentially disclosive data will be available through the UK Data Archive's Secure Data Service (see below).

    The WERS sponsors have established the 2011 Workplace Employment Relations Study: Information and Advice user support website for users of the WERS 2011 data. The site includes provision for users to contact the WERS research team with queries about the data. Further BIS information about WERS 2011, including the First Findings report and key tables are also provided on the gov.uk 2011 WERS webpage.

    Confidentiality and anonymisation edits:
    The following data items have been removed from the general-use (standard access or End User Licence (EUL)) version of WERS 2011: names of respondents, the workplace at which they worked, region identifiers, detailed industry classification below Section level, the Inter-departmental Business Register (IDBR) reference numbers, verbatim answers, and all data from the Financial Performance Questionnaire (FPQ). The restricted-access version of the data that will be available through the Secure Data Service (SDS) contains region identifiers, detailed industry classification, and the IDBR reference numbers of the workplaces that have consented to the linking of their WERS data to other sources and data from the FPQ. (Users should note that the SDS also holds a variety of data from WERS 2004 (WERS5).)

    Latest edition:
    For the sixth edition (September 2014), a new version of the management questionnaire (MQ) file was deposited, with additional variables included. Amendments have also been made to the mqsetup Stata ‘do’ file to take account of the additional variables. Finally, access restrictions have now been lifted on the Financial Performance Questionnaire (FPQ), so the data have been added to the study. For full details, see the updated Introductory Note in the documentation.

  13. British Geological Survey

    • hosted-metadata.bgs.ac.uk
    Updated Mar 1, 2010
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    Mineral Profile - Coal (2010). British Geological Survey [Dataset]. https://hosted-metadata.bgs.ac.uk/geonetwork/srv/api/records/6d0382e6-1e9e-4e02-ba25-2a2b04056f65
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    Dataset updated
    Mar 1, 2010
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    Mineral Profile - Coal
    Area covered
    Earth
    Description

    Coal is a combustible rock, composed of lithified plant remains. It consists of macerals, minerals and water This report is one of a series of Commodity Profiles available to download

    Website: http://www.bgs.ac.uk/downloads/start.cfm?id=1404

  14. Skillshare brand profile in the UK 2022

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Skillshare brand profile in the UK 2022 [Dataset]. https://www.statista.com/forecasts/1335111/skillshare-online-education-brand-profile-in-the-uk
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2, 2022 - Aug 6, 2022
    Area covered
    United Kingdom
    Description

    How high is the brand awareness of Skillshare in the UK?When it comes to online education service users, brand awareness of Skillshare is at **% in the UK. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Skillshare in the UK?In total, **% of UK online education service users say they like Skillshare. However, in actuality, among the **% of UK respondents who know Skillshare, **% of people like the brand.What is the usage share of Skillshare in the UK?All in all, **% of online education service users in the UK use Skillshare. That means, of the **% who know the brand, **% use them.How loyal are the users of Skillshare?Around *% of online education service users in the UK say they are likely to use Skillshare again. Set in relation to the **% usage share of the brand, this means that **% of their users show loyalty to the brand.What's the buzz around Skillshare in the UK?In August 2022, about **% of UK online education service users had heard about Skillshare in the media, on social media, or in advertising over the past three months. Of the **% who know the brand, that's **%, meaning at the time of the survey there's little buzz around Skillshare in the UK.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  15. u

    Workplace Employment Relations Survey: 1998-2011: Secure Access

    • beta.ukdataservice.ac.uk
    Updated 2023
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    Innovation Department For Business; Conciliation Advisory (2023). Workplace Employment Relations Survey: 1998-2011: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-6712-5
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    Dataset updated
    2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Innovation Department For Business; Conciliation Advisory
    Description

    The Workplace Employment Relations Survey (WERS) is a national survey of the state of employment relations and working life inside British workplaces. The 1998, 2004 and 2011 surveys (WERS98, WERS 2004, WERS 2011) are the fourth, fifth and sixth in the series, respectively, earlier surveys having been carried out in 1980, 1984 and 1990. Prior to 1998, the series was known as the Workplace Industrial Relations Survey (WIRS), the name being changed in order to better reflect the content of the current survey. The UK Data Archive hold the WIRS/WERS series from 1980 onwards under GN 33176.

    The purpose of each survey in the WERS series has been to provide large-scale, statistically reliable evidence about a broad range of industrial relations and employment practices across almost every sector of the economy in Great Britain. This evidence is collected with several objectives in mind. It aims to provide a mapping of employment relations practices in workplaces across Great Britain, monitor changes in those practices over time, inform policy development and permit an informed assessment of the effects of public policy, and bring about a greater understanding of employment relations as well as of the labour market.

    To that end, the cross-section element of WERS98 and WERS 2004 collected information from managers with responsibility for employment relations or personnel matters; trade union or employee representatives; and employees themselves. Thus, the surveys included the Cross-Section Survey of Managers (MQ), the Cross-Section Survey of Employee Representatives (ERQ), and the Cross-Section Survey of Employees (SEQ). The cross-section surveys in 2004 also included a Financial Performance Questionnaire (FPQ), which examined financial performance of the establishment over the 12 months previous to the survey. (Access to the FPQ data, alongside region identifiers and industry codes for the MQ and panel data, was initially restricted until April 2007, when they were deposited as part of the second edition of End User Licence (EUL) SN 5294.) The panel element of WERS 2004 includes the Screening Questionnaire and the Survey of Managers (comprising the Basic Workforce Data Sheet and the Management Interview).

    The 2011 WERS sample consisted of a panel sample containing all the workplaces that had taken part in the 2004 WERS and were still in existence in 2011, and a stratified random sample of establishments drawn from the Inter-Departmental Business Register (IDBR) in August 2010 (the fresh cross-section sample). The key design innovation of the 2011 WERS was the integration of the two elements so that workplaces in the panel sample were eligible for all four components of WERS 2011. Weights were devised to enable the panel sample to be combined with the fresh sample to form a combined cross-sectionally representative sample. The WERS 2011 has four components: a Survey of Managers comprising the Employee Profile Questionnaire (EPQ) and the Management Questionnaire (MQ); a Survey of Worker Representatives (WRQ); a Survey of Employees (SEQ); and a Financial Performance Questionnaire (FPQ) which detailed the financial performance of trading sector establishments in the 12 months before the survey.

    Secure Access Dataset:
    The Secure Access version of the study includes both the cross-section and panel surveys conducted for WERS98 and WERS 2004. The panel element for 2004 forms Wave 2 of the 1998-2004 panel survey. Wave 1 comprised the cross-sectional managers' survey conducted for WERS98. The study also includes all the WERS 2011 data

    The Secure Access version includes additional variables not included in the EUL versions (see SNs 5294, 3955 and 7226). Extra variables that can be found in the Secure Access versions but not in the EUL versions relate to 1) Inter-Departmental Business Register reference numbers for businesses who have consented to the linking of WERS data to other data sources, 2) postcodes, and 3) in 2011 the Financial Performance Questionnaire data are available along with some other more detailed variables.

    Geographical references: postcodes
    The postcodes available in the 1998 data are pseudo-anonymised postcodes. The real postcodes were not available for this year due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes, and will allow researchers to aggregate observations to other geographic units, e.g. wards, super output areas, etc. The postcodes available in the 2004 and 2011 data are real postcodes.

    Linking to other business studies
    These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

    Additional data in 2011
    The 2011 data includes an additional dataset, the Financial Performance Questionnaire, which details the financial performance of trading sector establishments in the 12 months before the survey. There are also region identifiers and the country in which the workplace is located can be identified. In addition industry classification is coded to below the section-level of the Standard Industrial Classification.

    Related UK Data Archive studies:
    The EUL version of the WERS Cross-Section Survey, 2004 and Panel Survey, 1998-2004; Wave 2 study is held under SN 5294. The EUL version of the WERS Cross-Section Survey 1998 is held under SN 3955. The EUL version of the WERS 2011 is held under SN 7226. Further details and links to these and other WERS studies available under a standard EUL can be found on the Workplace Employee Relations Survey list of datasets webpage.

    Related Websites:
    The WERS sponsors have established the 2011 Workplace Employment Relations Study: Information and Advice user support website for users of the WERS 2011 data. The site includes provision for users to contact the WERS research team with queries about the data.

    Further information about the WERS series is also provided on the gov.uk Workplace Employment Relations Study (WERS) webpage.

    For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

    Latest edition:
    For the fifth edition (August 2018), the pseudo-anonymised postcodes (NEW_PC) included in the data file 'wers2004_management_idbr_restricted' have been replaced with real postcodes (PCD2). The file contains only those cases where the respondent gave consent for data linkage (MLINKDAT=yes).

  16. Musculoskeletal health profile: April 2025 update

    • gov.uk
    Updated Apr 1, 2025
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    Office for Health Improvement and Disparities (2025). Musculoskeletal health profile: April 2025 update [Dataset]. https://www.gov.uk/government/statistics/musculoskeletal-health-profile-april-2025-update
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    The https://fingertips.phe.org.uk/profile/msk" class="govuk-link">musculoskeletal (MSK) health profile has been updated.

    For the March update, 3 new indicators, for people aged 16 and over, have been added based on the 2024 GP Patient Survey (GPPS):

    • percentage self-reporting a long-term MSK problem (2024 version)
    • percentage reporting a long-term MSK problem and at least one other long-term condition (2024 version)
    • odds of self-reported mental health conditions in people with an MSK condition compared with those without an MSK condition (odds ratio) (2024 version)

    See the statistical commentary for more details on the latest release.

    The MSK health profile has been designed to bring together meaningful data on a single platform, to enable the commissioning of high-value musculoskeletal services. Data is provided in a user-friendly format to help local government and health services:

    • understand the health needs of their populations
    • see how many people are accessing services in their areas
    • find out the cost and outcomes of services

    View previous MSK health profile updates.

  17. d

    HEartS Professional Survey: Charting the effects of COVID-19 on working...

    • search.dataone.org
    Updated Jan 4, 2025
    + more versions
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    Aaron Williamon; Neta Spiro; Caitlin Shaughnessy; George Waddell; Rosie Perkins; Aifric Campbell (2025). HEartS Professional Survey: Charting the effects of COVID-19 on working patterns, income, and wellbeing among performing arts professionals in the United Kingdom (April–May 2021) [Dataset]. http://doi.org/10.5061/dryad.6t1g1jx2v
    Explore at:
    Dataset updated
    Jan 4, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Aaron Williamon; Neta Spiro; Caitlin Shaughnessy; George Waddell; Rosie Perkins; Aifric Campbell
    Time period covered
    Jan 1, 2022
    Area covered
    United Kingdom
    Description

    These data were collected using the HEartS Professional Survey II from performing arts workers in the United Kingdom in April–May 2021. HEartS Professional II is an adaptation of the HEartS Professional I survey which was used in April–June 2020 (https://doi.org/10.5061/dryad.s7h44j14z). Both surveys were designed as multi-strategy data collection tools with two main purposes: (1) to chart working patterns, income, sources of support, and indicators of mental and social well-being in order to identify trends in the effects of the lockdown at the time and (2) to explore the individual work and wellbeing experiences of performing arts professionals in their own words, in order to identify the subjective effects of lockdown in terms of challenges and opportunities. The survey covers six areas: (1) demographics; (2) information on illness or self-isolation related to COVID-19; (3) work profiles and income; (4) changes to work profiles and income as a result of the pandemic, as well as sourc..., The sample was recruited through an online data collection platform, Qualtrics, from April to May 2021. Here we include the data set (N = 685) of completed surveys. The survey contains the following sections:Â

    Demographic and socioeconomic information: Where available, standardised Census questions were used to collect data on ethnicity, geographic region, highest educational qualifications, gender, age, and household composition, and income.Â

    Illness or self-isolation related to COVID-19: Newly created questions.Â

    Work profiles and income: Newly created questions.Â

    Changes to work profiles and income as a result of the pandemic and sources of support: Newly created questions and Inclusion of Other in Self Scale.Â

    Open-response questions about work and well-being experiences of lockdown, including challenges and opportunities: Newly created questions (NB. data for the open questions are not included for confidentiality reasons).Â

    Measures of health, well-being, and social connect..., In line with Dryad's human subjects data protection rules, some personal data have been removed from this file. Variables for which data have been omitted are marked with an asterisk in the Variables tab in the dataset. ,

  18. E

    Aberdeen Beach Front - Level and Profile Survey (1983-)

    • bodc.ac.uk
    • edmed.seadatanet.org
    nc
    Updated Oct 19, 2009
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    Aberdeen City Council (2009). Aberdeen Beach Front - Level and Profile Survey (1983-) [Dataset]. https://www.bodc.ac.uk/resources/inventories/edmed/report/915/
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    ncAvailable download formats
    Dataset updated
    Oct 19, 2009
    Dataset authored and provided by
    Aberdeen City Council
    License

    https://vocab.nerc.ac.uk/collection/L08/current/UN/https://vocab.nerc.ac.uk/collection/L08/current/UN/

    Time period covered
    1983 - Present
    Area covered
    Description

    Beach profiles have been monitored along the beach frontage and at the River Don Estary since 1983. Survey is carried out annually in the summer (however, data were not gathered in 1999 or 2000). It has, up to now, been carried out at the toe of the sea wall. However, the 2001 survey will be extended to survey the beach levels 12ft from the sea wall.

  19. Kids' Life and Times Survey, 2023

    • beta.ukdataservice.ac.uk
    Updated 2024
    + more versions
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    K. Lloyd (2024). Kids' Life and Times Survey, 2023 [Dataset]. http://doi.org/10.5255/ukda-sn-9165-1
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    K. Lloyd
    Description

    The Kids' Life and Times Survey (KLT) began in 2008 and is conducted by Access Research Knowledge (ARK) which runs the Northern Ireland Life and Times Survey (NILT) and the Young Life and Times Survey (YLT). The KLT is a survey of Primary year 7 (P7) children in Northern Ireland which is carried out online and in school. (Note that NILT did not run in 2011, but resumed in 2012. The KLT and YLT both ran as normal in 2011.)

    The aims of the KLT are to:

    • provide broad-based monitoring systems to examine children's views on policy issues on a regular basis
    • ensure that the information from the survey is fed back to policymakers and others engaged in the policy debates around children and their lives
    • provide a high profile endorsement of 'participation' by Northern Ireland's children
    Further information about KLT, including the comic-style publication with key results especially designed for children, may be found on the ARK main Kids' Life and Times Survey web pages.


  20. English Housing Survey 2018: stock condition

    • gov.uk
    Updated Jul 9, 2020
    + more versions
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2020). English Housing Survey 2018: stock condition [Dataset]. https://www.gov.uk/government/statistics/english-housing-survey-2018-stock-condition
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    Dataset updated
    Jul 9, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Description

    This report presents a profile of the English housing stock by tenure, type, location and examines stock condition and safety. The report focuses in particular on fire safety, and high rise dwellings.

    The English Housing Survey live tables are updated each year and accompany the annual reports.

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Ministry of Housing, Communities and Local Government (2025). English Housing Survey data on stock profile [Dataset]. https://www.gov.uk/government/statistical-data-sets/stock-profile
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English Housing Survey data on stock profile

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13 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 17, 2025
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Ministry of Housing, Communities and Local Government
Description
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