5 datasets found

  1. Income estimates for small areas, England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 11, 2023
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    Office for National Statistics (2023). Income estimates for small areas, England and Wales [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/smallareaincomeestimatesformiddlelayersuperoutputareasenglandandwales
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    xlsxAvailable download formats
    Dataset updated
    Oct 11, 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

    Estimates of annual household income for the four income types for Middle layer Super Output Areas, or local areas, in England and Wales.

  2. Vehicle licensing statistics data files

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 11, 2025
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    Department for Transport (2025). Vehicle licensing statistics data files [Dataset]. https://www.gov.uk/government/statistical-data-sets/vehicle-licensing-statistics-data-files
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    Dataset updated
    Jun 11, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Recent changes

    A number of changes were introduced to these data files in the 2022 release to help meet the needs of our users and to provide more detail.

    Fuel type has been added to:

    • df_VEH0120_GB
    • df_VEH0120_UK
    • df_VEH0160_GB
    • df_VEH0160_UK

    Historic UK data has been added to:

    • df_VEH0124 (now split into 2 files)
    • df_VEH0220
    • df_VEH0270

    A new datafile has been added df_VEH0520.

    We welcome any feedback on the structure of our data files, their usability, or any suggestions for improvements; please contact vehicles statistics.

    How to use CSV files

    CSV files can be used either as a spreadsheet (using Microsoft Excel or similar spreadsheet packages) or digitally using software packages and languages (for example, R or Python).

    When using as a spreadsheet, there will be no formatting, but the file can still be explored like our publication tables. Due to their size, older software might not be able to open the entire file.

    Download data files

    Make and model by quarter

    df_VEH0120_GB: https://assets.publishing.service.gov.uk/media/68494aca74fe8fe0cbb4676c/df_VEH0120_GB.csv">Vehicles at the end of the quarter by licence status, body type, make, generic model and model: Great Britain (CSV, 58.1 MB)

    Scope: All registered vehicles in Great Britain; from 1994 Quarter 4 (end December)

    Schema: BodyType, Make, GenModel, Model, Fuel, LicenceStatus, [number of vehicles; 1 column per quarter]

    df_VEH0120_UK: https://assets.publishing.service.gov.uk/media/68494acb782e42a839d3a3ac/df_VEH0120_UK.csv">Vehicles at the end of the quarter by licence status, body type, make, generic model and model: United Kingdom (CSV, 34.1 MB)

    Scope: All registered vehicles in the United Kingdom; from 2014 Quarter 3 (end September)

    Schema: BodyType, Make, GenModel, Model, Fuel, LicenceStatus, [number of vehicles; 1 column per quarter]

    df_VEH0160_GB: https://assets.publishing.service.gov.uk/media/68494ad774fe8fe0cbb4676d/df_VEH0160_GB.csv">Vehicles registered for the first time by body type, make, generic model and model: Great Britain (CSV, 24.8 MB)

    Scope: All vehicles registered for the first time in Great Britain; from 2001 Quarter 1 (January to March)

    Schema: BodyType, Make, GenModel, Model, Fuel, [number of vehicles; 1 column per quarter]

    df_VEH0160_UK: https://assets.publishing.service.gov.uk/media/68494ad7aae47e0d6c06e078/df_VEH0160_UK.csv">Vehicles registered for the first time by body type, make, generic model and model: United Kingdom (CSV, 8.26 MB)

    Scope: All vehicles registered for the first time in the United Kingdom; from 2014 Quarter 3 (July to September)

    Schema: BodyType, Make, GenModel, Model, Fuel, [number of vehicles; 1 column per quarter]

    Make and model by age

    In order to keep the datafile df_VEH0124 to a reasonable size, it has been split into 2 halves; 1 covering makes starting with A to M, and the other covering makes starting with N to Z.

    df_VEH0124_AM: <a class="govuk-link" href="https://assets.

  3. Sexually transmitted infections (STIs): annual data

    • gov.uk
    Updated Jun 10, 2025
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    UK Health Security Agency (2025). Sexually transmitted infections (STIs): annual data [Dataset]. https://www.gov.uk/government/statistics/sexually-transmitted-infections-stis-annual-data-tables
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    Dataset updated
    Jun 10, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    The UK Health Security Agency (UKHSA) collects data on all sexually transmitted infection (STI) diagnoses made at sexual health services in England. This page includes information on trends in STI diagnoses, as well as the numbers and rates of diagnoses by demographic characteristics and UKHSA public health region.

    View the pre-release access lists for these statistics.

    Previous reports, data tables, slide sets, infographics, and pre-release access lists are available online:

    The STI quarterly surveillance reports of provisional data for diagnoses of syphilis, gonorrhoea and ceftriaxone-resistant gonorrhoea in England are also available online.

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  4. List of Foreign, Commonwealth & Development Office posts abroad

    • gov.uk
    Updated Apr 30, 2025
    + more versions
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    Foreign, Commonwealth & Development Office (2025). List of Foreign, Commonwealth & Development Office posts abroad [Dataset]. https://www.gov.uk/government/publications/list-of-foreign-office-posts
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    Dataset updated
    Apr 30, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Foreign, Commonwealth & Development Office
    Area covered
    Commonwealth of Nations
    Description

    This page provides lists of the current Foreign, Commonwealth & Development Office (FCDO) offices (called UK missions and representations overseas), by country and territory.

    It also provides previous lists published by the FCDO and the former Foreign & Commonwealth Office.

    This data is also available on https://ckan.publishing.service.gov.uk/dataset/foreign-commonwealth-and-development-office-posts-overseas" class="govuk-link">data.gov.uk: FCDO posts abroad.

  5. f

    Final XGBoost model.

    • plos.figshare.com
    bin
    Updated Sep 20, 2023
    + more versions
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    Gordon Ward Fuller; Madina Hasan; Peter Hodkinson; David McAlpine; Steve Goodacre; Peter A. Bath; Laura Sbaffi; Yasein Omer; Lee Wallis; Carl Marincowitz (2023). Final XGBoost model. [Dataset]. http://doi.org/10.1371/journal.pdig.0000309.s016
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    binAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pdig.0000309.s016
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    PLOS Digital Health
    Authors
    Gordon Ward Fuller; Madina Hasan; Peter Hodkinson; David McAlpine; Steve Goodacre; Peter A. Bath; Laura Sbaffi; Yasein Omer; Lee Wallis; Carl Marincowitz
    License

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

    Description

    COVID-19 infection rates remain high in South Africa. Clinical prediction models may be helpful for rapid triage, and supporting clinical decision making, for patients with suspected COVID-19 infection. The Western Cape, South Africa, has integrated electronic health care data facilitating large-scale linked routine datasets. The aim of this study was to develop a machine learning model to predict adverse outcome in patients presenting with suspected COVID-19 suitable for use in a middle-income setting. A retrospective cohort study was conducted using linked, routine data, from patients presenting with suspected COVID-19 infection to public-sector emergency departments (EDs) in the Western Cape, South Africa between 27th August 2020 and 31st October 2021. The primary outcome was death or critical care admission at 30 days. An XGBoost machine learning model was trained and internally tested using split-sample validation. External validation was performed in 3 test cohorts: Western Cape patients presenting during the Omicron COVID-19 wave, a UK cohort during the ancestral COVID-19 wave, and a Sudanese cohort during ancestral and Eta waves. A total of 282,051 cases were included in a complete case training dataset. The prevalence of 30-day adverse outcome was 4.0%. The most important features for predicting adverse outcome were the requirement for supplemental oxygen, peripheral oxygen saturations, level of consciousness and age. Internal validation using split-sample test data revealed excellent discrimination (C-statistic 0.91, 95% CI 0.90 to 0.91) and calibration (CITL of 1.05). The model achieved C-statistics of 0.84 (95% CI 0.84 to 0.85), 0.72 (95% CI 0.71 to 0.73), and 0.62, (95% CI 0.59 to 0.65) in the Omicron, UK, and Sudanese test cohorts. Results were materially unchanged in sensitivity analyses examining missing data. An XGBoost machine learning model achieved good discrimination and calibration in prediction of adverse outcome in patients presenting with suspected COVID19 to Western Cape EDs. Performance was reduced in temporal and geographical external validation.

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Email
Click to copy link
Link copied
Close
Cite
Office for National Statistics (2023). Income estimates for small areas, England and Wales [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/smallareaincomeestimatesformiddlelayersuperoutputareasenglandandwales
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Income estimates for small areas, England and Wales

Explore at:
63 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
Oct 11, 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

Estimates of annual household income for the four income types for Middle layer Super Output Areas, or local areas, in England and Wales.

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