29 datasets found
  1. Mean house prices for administrative geographies: HPSSA dataset 12

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Sep 20, 2023
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    Office for National Statistics (2023). Mean house prices for administrative geographies: HPSSA dataset 12 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanhousepricefornationalandsubnationalgeographiesquarterlyrollingyearhpssadataset12
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    xlsAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

  2. Mean house prices by middle layer super output area: HPSSA dataset 3

    • cy.ons.gov.uk
    • ons.gov.uk
    zip
    Updated Sep 20, 2023
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    Office for National Statistics (2023). Mean house prices by middle layer super output area: HPSSA dataset 3 [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/hpssadataset3meanhousepricebymsoaquarterlyrollingyear
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    zipAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean price paid for residential property in England and Wales, by property type and middle layer super output area. Annual data.

  3. Mean house prices by ward: HPSSA dataset 38

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Sep 20, 2023
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    Office for National Statistics (2023). Mean house prices by ward: HPSSA dataset 38 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanpricepaidbywardhpssadataset38
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    zipAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean price paid for residential property in England and Wales, by property type and electoral ward. Annual data.

  4. c

    Wealth and Assets Survey, Waves 1-5 and Rounds 5-8, 2006-2022

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 7, 2025
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    Office for National Statistics (2025). Wealth and Assets Survey, Waves 1-5 and Rounds 5-8, 2006-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-7215-19
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    Dataset updated
    Mar 7, 2025
    Dataset provided by
    Social Survey Division
    Authors
    Office for National Statistics
    Time period covered
    Jun 29, 2006 - Mar 31, 2022
    Area covered
    Great Britain
    Variables measured
    Individuals, National
    Measurement technique
    Telephone interview, Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Wealth and Assets Survey (WAS) is a longitudinal survey, which aims to address gaps identified in data about the economic well-being of households by gathering information on level of assets, savings and debt; saving for retirement; how wealth is distributed among households or individuals; and factors that affect financial planning. Private households in Great Britain were sampled for the survey (meaning that people in residential institutions, such as retirement homes, nursing homes, prisons, barracks or university halls of residence, and also homeless people were not included).

    The WAS commenced in July 2006, with a first wave of interviews carried out over two years, to June 2008. Interviews were achieved with 30,595 households at Wave 1. Those households were approached again for a Wave 2 interview between July 2008 and June 2010, and 20,170 households took part. Wave 3 covered July 2010 - June 2012, Wave 4 covered July 2012 - June 2014 and Wave 5 covered July 2014 - June 2016. Revisions to previous waves' data mean that small differences may occur between originally published estimates and estimates from the datasets held by the UK Data Service. Data are revised on a wave by wave basis, as a result of backwards imputation from the current wave's data. These revisions are due to improvements in the imputation methodology.

    Note from the WAS team - November 2023:

    “The Office for National Statistics has identified a very small number of outlier cases present in the seventh round of the Wealth and Assets Survey covering the period April 2018 to March 2020. Our current approach is to treat cases where we have reasonable evidence to suggest the values provided for specific variables are outliers. This approach did not occur for two individuals for several variables involved in the estimation of their pension wealth. While we estimate any impacts are very small overall and median pension wealth and median total wealth estimates are unaffected, this will affect the accuracy of the breakdowns of the pension wealth within the wealthiest decile, and data derived from them. We are urging caution in the interpretation of more detailed estimates.”

    Survey Periodicity - "Waves" to "Rounds"
    Due to the survey periodicity moving from “Waves” (July, ending in June two years later) to “Rounds” (April, ending in March two years later), interviews using the ‘Wave 6’ questionnaire started in July 2016 and were conducted for 21 months, finishing in March 2018. Data for round 6 covers the period April 2016 to March 2018. This comprises of the last three months of Wave 5 (April to June 2016) and 21 months of Wave 6 (July 2016 to March 2018). Round 5 and Round 6 datasets are based on a mixture of original wave-based datasets. Each wave of the survey has a unique questionnaire and therefore each of these round-based datasets are based on two questionnaires. While there may be some changes in the questionnaires, the derived variables for the key wealth estimates have not changed over this period. The aim is to collect the same data, though in some cases the exact questions asked may differ slightly. Detailed information on Moving the Wealth and Assets Survey onto a financial years’ basis was published on the ONS website in July 2019.

    A Secure Access version of the WAS, subject to more stringent access conditions, is available under SN 6709; it contains more detailed geographic variables than the EUL version. Users are advised to download the EUL version first (SN 7215) to see if it is suitable for their needs, before considering making an application for the Secure Access version.

    Further information and documentation may be found on the ONS Wealth and Assets Survey webpage. Users are advised to the check the page for updates before commencing analysis.

    Occupation data for 2021 and 2022 data files

    The ONS have identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. For further information on this issue, please see: https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys.

    The data dictionary for round 8 person file is not available.

    Latest edition information

    For the 19th edition (February 2025), the round 8 data files and documentation have been added to the study. Values labels for variable "ILnUse01W4" in the file "was_wave_4_person_eul_oct_2020" have also...

  5. W

    Fire and Rescue Authorities (December 2017) EW BFC

    • cloud.csiss.gmu.edu
    csv, esri rest +6
    Updated Jul 25, 2018
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    Office for National Statistics (2018). Fire and Rescue Authorities (December 2017) EW BFC [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/fire-and-rescue-authorities-december-2017-ew-bfc
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    zip, html, kml, geojson, esri rest, ogc wfs, ogc wms, csvAvailable download formats
    Dataset updated
    Jul 25, 2018
    Dataset provided by
    Office for National Statistics
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    This file contains the digital vector boundaries for Fire and Rescue Authorities in England and Wales as at December 2017.

    The boundaries available are:


    Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
    Full resolution - clipped to the coastline (Mean High Water mark);
    Generalised (20m) - clipped to the coastline (Mean High Water mark);
    Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
    Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).

    Contains both Ordnance Survey and ONS Intellectual Property Rights.

    Download File Sizes

    • Full resolution - extent of the realm (9 MB)
    • Full resolution - clipped to the coastline (13 MB)
    • Generalised (20m) - clipped to the coastline (1 MB)
    • Super generalised (200m) - clipped to the coastline (316 KB)
    • Ultra generalised (500m) - clipped to the coastline (116 KB).



  6. a

    SCN (December 2016) Ultra Generalised Clipped Boundaries in England

    • hub.arcgis.com
    Updated Sep 28, 2022
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    Office for National Statistics (2022). SCN (December 2016) Ultra Generalised Clipped Boundaries in England [Dataset]. https://hub.arcgis.com/maps/ons::scn-december-2016-ultra-generalised-clipped-boundaries-in-england
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    Dataset updated
    Sep 28, 2022
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This file contains the digital vector boundaries for Strategic Clinical Networks in England, as at 31 December 2016. The boundaries available are: Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands); Full resolution - clipped to the coastline (Mean High Water mark); Generalised (20m) - clipped to the coastline (Mean High Water mark); Super generalised (200m) - clipped to the coastline (Mean High Water mark) and Ultra generalised (500m) - clipped to the coastline (Mean High Water mark). Contains both Ordnance Survey and ONS Intellectual Property Rights. Download File Sizes

    Full resolution - extent of the realm (7 MB) Full resolution - clipped to the coastline (12 MB) Generalised (20m) - clipped to the coastline (1 MB) Super generalised (200m) - clipped to the coastline (222 KB) Ultra generalised (500m) - clipped to the coastline (67 KB). REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Health_Boundaries/Strategic_Clinical_Networks_December_2016_Boundaries/MapServer/exts/InspireView REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Health_Boundaries/Strategic_Clinical_Networks_December_2016_Boundaries/MapServer/exts/InspireFeatureDownloadREST URL of ArcGIS Feature Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Health_Boundaries/Strategic_Clinical_Networks_December_2016_Boundaries/FeatureServer

  7. Countries (December 2016) Ultra Generalised Clipped Boundaries in Great...

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    csv, esri rest +6
    Updated Dec 21, 2019
    + more versions
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    Office for National Statistics (2019). Countries (December 2016) Ultra Generalised Clipped Boundaries in Great Britain [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/countries-december-2016-ultra-generalised-clipped-boundaries-in-great-britain2
    Explore at:
    kml, wfs, geojson, zip, csv, html, esri rest, wmsAvailable download formats
    Dataset updated
    Dec 21, 2019
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    Great Britain, United Kingdom
    Description

    This file contains the digital vector boundaries for Countries in Great Britain, as at December 2016. The boundaries available are:

    • Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
    • Full resolution - clipped to the coastline (Mean High Water mark);
    • Generalised (20m) - clipped to the coastline (Mean High Water mark);
    • Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
    • Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).

    Contains both Ordnance Survey and ONS Intellectual Property Rights.

    Download File Sizes

    • Full resolution - extent of the realm (24 MB)
    • Full resolution - clipped to the coastline (29 MB)
    • Generalised (20m) - clipped to the coastline (3 MB)
    • Super generalised (200m) - clipped to the coastline (538 KB)
    • Ultra generalised (500m) - clipped to the coastline (150 KB).

    REST URL of ArcGIS for INSPIRE View Service - https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Countries_December_2016_Boundaries/MapServer/exts/InspireView

    REST URL of ArcGIS for INSPIRE Feature Download Service - https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Countries_December_2016_Boundaries/MapServer/exts/InspireFeatureDownload

    REST URL of Feature Service - https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Countries_December_2016_Boundaries/FeatureServer

  8. W

    NUTS Level 1 (January 2018) Ultra Generalised Clipped Boundaries in the...

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    csv, esri rest +6
    Updated Feb 21, 2019
    + more versions
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    Office for National Statistics (2019). NUTS Level 1 (January 2018) Ultra Generalised Clipped Boundaries in the United Kingdom [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/nuts-level-1-january-2018-ultra-generalised-clipped-boundaries-in-the-united-kingdom
    Explore at:
    geojson, zip, esri rest, ogc wms, kml, ogc wfs, html, csvAvailable download formats
    Dataset updated
    Feb 21, 2019
    Dataset provided by
    Office for National Statistics
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    United Kingdom
    Description

    This file contains the digital vector boundaries for Nomenclature of Territorial Units for Statistics Level 1, in the United Kingdom, as at January 2018.

    NUTS areas in England and Wales are unchanged but there are changes in Scotland (at NUTS2) and in Northern Ireland (NUTS3). In Scotland a fifth NUTS2 area has been created (Southern Scotland), while in Northen Ireland the new NUTS3 areas will now match the 11 local government districts.

    The boundaries available are:

    • Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
    • Full resolution - clipped to the coastline (Mean High Water mark);
    • Generalised (20m) - clipped to the coastline (Mean High Water mark);
    • Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
    • Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).

    Contains both Ordnance Survey and ONS Intellectual Property Rights.

    Download File Sizes

    • Full resolution - extent of the realm (30 MB)
    • Full resolution - clipped to the coastline (34 MB)
    • Generalised (20m) - clipped to the coastline (3 MB)
    • Super generalised (200m) - clipped to the coastline (648 KB)
    • Ultra generalised (500m) - clipped to the coastline (263 KB).

    https://cdn.arcgis.com/cdn/20886/js/jsapi/dojo/resources/blank.gif" />


    REST URL of Feature Service (use these URLs in maps, where you can view pop-up information and change the styling) - https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/FeatureServer

  9. Output per hour worked, UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 15, 2025
    + more versions
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    Office for National Statistics (2025). Output per hour worked, UK [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/datasets/outputperhourworkeduk
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    xlsxAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    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

    Estimates for gross value added (GVA), hours worked and output per hour worked for whole economy and section level industries, as defined by the Standard Industrial Classification (SIC) 2007. Contains annual and quarterly statistics. Includes estimates for industry quarter on quarter, year on year and quarter on year contributions to whole economy output per hour worked.

  10. e

    Local Enterprise Partnerships (overlapping parts) (April 2017) Ultra...

    • data.europa.eu
    • data.wu.ac.at
    Updated Apr 15, 2017
    + more versions
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    Office for National Statistics (2017). Local Enterprise Partnerships (overlapping parts) (April 2017) Ultra Generalised Clipped Boundaries in England V2 [Dataset]. https://data.europa.eu/data/datasets/local-enterprise-partnerships-overlapping-parts-april-2017-ultra-generalised-clipped-boundaries3
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    Dataset updated
    Apr 15, 2017
    Dataset authored and provided by
    Office for National Statistics
    Description

    This file contains the digital vector boundaries for Local Enterprise Partnerships (overlapping parts) in England as at April 2017.

    The boundaries available are:


    • Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
    • Full resolution - clipped to the coastline (Mean High Water mark);
    • Generalised (20m) - clipped to the coastline (Mean High Water mark);
    • Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
    • Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).

    Contains both Ordnance Survey and ONS Intellectual Property Rights.

    We've been notified by the National Audit Office that a LEP boundary has changed. The change is to the Greater Cambridge and Greater Peterborough LEP and Greater Lincolnshire LEP - South Holland and South Kesteven local authority districts are now also included in Greater Cambridge and Greater Peterborough LEP.

    Download File Sizes

    • Full resolution - extent of the realm (2 MB)
    • Full resolution - clipped to the coastline (2 MB)
    • Generalised (20m) - clipped to the coastline (283 KB)
    • Super generalised (200m) - clipped to the coastline (61 KB)
    • Ultra generalised (500m) - clipped to the coastline (27 KB).



  11. Productivity jobs, productivity hours, market sector workers, market sector...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Jan 11, 2022
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    Office for National Statistics (2022). Productivity jobs, productivity hours, market sector workers, market sector hours [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/labourproductivity/datasets/productivityjobsproductivityhoursmarketsectorworkersmarketsectorhours
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    xlsAvailable download formats
    Dataset updated
    Jan 11, 2022
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Underlying labour inputs behind the labour productivity estimates by industry and industrial sector as defined by the Standard Industrial Classification (SIC), UK.

  12. Earnings time series of mean gross weekly earnings from 1938 to 2023

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Nov 1, 2023
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    Office for National Statistics (2023). Earnings time series of mean gross weekly earnings from 1938 to 2023 [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/earningstimeseriesofmeangrossweeklyearningsfrom1938to2022
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Annual Survey of Hours and Earnings (ASHE), New Earnings Survey (NES) and the British Labour Statistics Historical Abstract earnings time series, which covers Great Britain gross weekly data from 1938 to 2023 split by gender.

  13. e

    Public Health England Regions (December 2016) Ultra Generalised Clipped...

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    csv, geojson, html +3
    Updated Dec 15, 2016
    + more versions
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    Office for National Statistics (2016). Public Health England Regions (December 2016) Ultra Generalised Clipped Boundaries in England [Dataset]. https://data.europa.eu/data/datasets/public-health-england-regions-december-2016-ultra-generalised-clipped-boundaries-in-england1?locale=cs
    Explore at:
    csv, geojson, unknown, kml, zip, htmlAvailable download formats
    Dataset updated
    Dec 15, 2016
    Dataset authored and provided by
    Office for National Statistics
    Area covered
    England
    Description

    This file contains the digital vector boundaries for Public Health England Regions in England, as at December 2016. The boundaries available are:


    • Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
    • Full resolution - clipped to the coastline (Mean High Water mark);
    • Generalised (20m) - clipped to the coastline (Mean High Water mark);
    • Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
    • Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).

    Contains both Ordnance Survey and ONS Intellectual Property Rights.

    Download File Sizes

    • Full resolution - extent of the realm (5 MB)
    • Full resolution - clipped to the coastline (10 MB)
    • Generalised (20m) - clipped to the coastline (1 MB)
    • Super generalised (200m) - clipped to the coastline (185 KB)
    • Ultra generalised (500m) - clipped to the coastline (54 KB).



  14. The impact of using the new definition of alcohol-specific deaths: main data...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Oct 27, 2017
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    Office for National Statistics (2017). The impact of using the new definition of alcohol-specific deaths: main data tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/theimpactofusingthenewdefinitionofalcoholspecificdeathsmaindatatables
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    xlsAvailable download formats
    Dataset updated
    Oct 27, 2017
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Data using the definition of alcohol-specific deaths in addition to a count of deaths caused by chronic hepatitis and fibrosis and cirrhosis of the liver in the UK

  15. Young people in the labour market by socio-economic background, UK –...

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated May 30, 2022
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    Office for National Statistics (2022). Young people in the labour market by socio-economic background, UK – significance testing [Dataset]. https://cy.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/youngpeopleinthelabourmarketbysocioeconomicbackgrounduksignificancetesting
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 30, 2022
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    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

    Significance testing for young people in the labour market by socio-economic background, UK: 2014 to 2021.

  16. Mean Price Paid by ward - HPSSA Supplementary Dataset 8

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Mar 17, 2017
    + more versions
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    Office for National Statistics (2017). Mean Price Paid by ward - HPSSA Supplementary Dataset 8 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanpricepaidbywardhpssasupplementarydataset8
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    zipAvailable download formats
    Dataset updated
    Mar 17, 2017
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean price of residential property sales in England and Wales by property type and electoral ward.

  17. Mean price of newly built dwellings by MSOA, quarterly rolling year - HPSSA...

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Dec 15, 2015
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    Office for National Statistics (2015). Mean price of newly built dwellings by MSOA, quarterly rolling year - HPSSA Dataset 03b1 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanpriceofnewlybuiltdwellingsbymsoaquarterlyrollingyearhpssadataset03b1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 15, 2015
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean price of newly built dwellings by MSOA, quarterly rolling year.

  18. Mean price of existing dwellings by MSOA, quarterly rolling year - HPSSA...

    • cy.ons.gov.uk
    • ons.gov.uk
    zip
    Updated Dec 15, 2015
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    Office for National Statistics (2015). Mean price of existing dwellings by MSOA, quarterly rolling year - HPSSA Dataset 03c1 [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanpriceofexistingdwellingsbymsoaquarterlyrollingyearhpssadataset03c1
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    zipAvailable download formats
    Dataset updated
    Dec 15, 2015
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    HPSSA Dataset 03c1 -

  19. Mean house price by MSOA, quarterly rolling year - HPSSA Dataset 03a1

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Dec 15, 2015
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    Office for National Statistics (2015). Mean house price by MSOA, quarterly rolling year - HPSSA Dataset 03a1 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanhousepricebymsoaquarterlyrollingyearhpssadataset03a1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 15, 2015
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean house price by MSOA, quarterly rolling year.

  20. Mean price of newly built detached houses by MSOA, quarterly rolling year -...

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Dec 15, 2015
    + more versions
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    Office for National Statistics (2015). Mean price of newly built detached houses by MSOA, quarterly rolling year - HPSSA Dataset 03b2 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanpriceofnewlybuiltdetachedhousesbymsoaquarterlyrollingyearhpssadataset03b2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 15, 2015
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Mean price of newly built detached houses by MSOA, quarterly rolling year

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Office for National Statistics (2023). Mean house prices for administrative geographies: HPSSA dataset 12 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/meanhousepricefornationalandsubnationalgeographiesquarterlyrollingyearhpssadataset12
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Mean house prices for administrative geographies: HPSSA dataset 12

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2 scholarly articles cite this dataset (View in Google Scholar)
xlsAvailable download formats
Dataset updated
Sep 20, 2023
Dataset provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

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

Description

Mean price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

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