9 datasets found
  1. Postcode to OA (2011) to LSOA to MSOA to LAD (May 2022) Best Fit Lookup in...

    • geoportal.statistics.gov.uk
    • ckan.publishing.service.gov.uk
    • +1more
    Updated Jun 14, 2022
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    Office for National Statistics (2022). Postcode to OA (2011) to LSOA to MSOA to LAD (May 2022) Best Fit Lookup in the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/e7824b1475604212a2325cd373946235
    Explore at:
    Dataset updated
    Jun 14, 2022
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Area covered
    Description

    A best-fit lookup between postcodes, frozen 2011 Census Output Areas (OA), Lower Layer Super Output Areas (LSOA), Middle Layer Super Output Areas (MSOA) and current local authority districts (LAD) as at May 2022 in the UK. Postcodes are best-fitted by plotting the location of the postcode's mean address into the areas of the output geographies. (File size 24 MB).Field Names - PCD7, PCD8, PCDS, DOINTR, DOTERM, USERTYPE, OA11CD, LSOA11CD, MSOA11CD, LADCD, LSOA11NM, MSOA11NM, LADNM, LADNMWField Types - All TextField Lengths - 7, 8, 8, 8, 8, 1, 9, 9, 9, 9, 55, 65, 45, 45

  2. English indices of deprivation 2019

    • gov.uk
    Updated Sep 26, 2019
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2019). English indices of deprivation 2019 [Dataset]. https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019
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    Dataset updated
    Sep 26, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Description

    These statistics update the English indices of deprivation 2015.

    The English indices of deprivation measure relative deprivation in small areas in England called lower-layer super output areas. The index of multiple deprivation is the most widely used of these indices.

    The statistical release and FAQ document (above) explain how the Indices of Deprivation 2019 (IoD2019) and the Index of Multiple Deprivation (IMD2019) can be used and expand on the headline points in the infographic. Both documents also help users navigate the various data files and guidance documents available.

    The first data file contains the IMD2019 ranks and deciles and is usually sufficient for the purposes of most users.

    Mapping resources and links to the IoD2019 explorer and Open Data Communities platform can be found on our IoD2019 mapping resource page.

    Further detail is available in the research report, which gives detailed guidance on how to interpret the data and presents some further findings, and the technical report, which describes the methodology and quality assurance processes underpinning the indices.

    We have also published supplementary outputs covering England and Wales.

  3. a

    Indices of Multiple Deprivation (IMD) 2019

    • hub.arcgis.com
    Updated Sep 25, 2019
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    Ministry of Housing, Communities and Local Government (2019). Indices of Multiple Deprivation (IMD) 2019 [Dataset]. https://hub.arcgis.com/datasets/5e1c399d787e48c0902e5fe4fc1ccfe3
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    Dataset updated
    Sep 25, 2019
    Dataset authored and provided by
    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

    The English Indices of Deprivation 2019 use 39 separate indicators, organised across seven distinct domains of deprivation which can be combined, using appropriate weights, to calculate the Index of Multiple Deprivation 2019 (IMD 2019). This is an overall measure of multiple deprivation experienced by people living in an area and is calculated for every Lower layer Super Output Area (LSOA) in England. The IMD 2019 can be used to rank every LSOA in England according to their relative level of deprivation.

    Column

    Full Column

    LSOA01CD

    LSOA code (2011)

    LSOA01NM

    LSOA name (2011)

    LADcd

    Local Authority District code (2019)

    LADnm

    Local Authority District name (2019)

    IMDScore

    Index of Multiple Deprivation (IMD) Score

    IMDRank0

    Index of Multiple Deprivation (IMD) Rank (where 1 is most deprived)

    IMDDec0

    Index of Multiple Deprivation (IMD) Decile (where 1 is most deprived 10% of LSOAs)

    IncScore

    Income Score (rate)

    IncRank

    Income Rank (where 1 is most deprived)

    IncDec

    Income Decile (where 1 is most deprived 10% of LSOAs)

    EmpScore

    Employment Score (rate)

    EmpRank

    Employment Rank (where 1 is most deprived)

    EmpDec

    Employment Decile (where 1 is most deprived 10% of LSOAs)

    EduScore

    Education, Skills and Training Score

    EduRank

    Education, Skills and Training Rank (where 1 is most deprived)

    EduDec

    Education, Skills and Training Decile (where 1 is most deprived 10% of LSOAs)

    HDDScore

    Health Deprivation and Disability Score

    HDDRank

    Health Deprivation and Disability Rank (where 1 is most deprived)

    HDDDec

    Health Deprivation and Disability Decile (where 1 is most deprived 10% of LSOAs)

    CriScore

    Crime Score

    CriRank

    Crime Rank (where 1 is most deprived)

    CriDec

    Crime Decile (where 1 is most deprived 10% of LSOAs)

    BHSScore

    Barriers to Housing and Services Score

    BHSRank

    Barriers to Housing and Services Rank (where 1 is most deprived)

    BHSDec

    Barriers to Housing and Services Decile (where 1 is most deprived 10% of LSOAs)

    EnvScore

    Living Environment Score

    EnvRank

    Living Environment Rank (where 1 is most deprived)

    EnvDec

    Living Environment Decile (where 1 is most deprived 10% of LSOAs)

    IDCScore

    Income Deprivation Affecting Children Index (IDACI) Score (rate)

    IDCRank

    Income Deprivation Affecting Children Index (IDACI) Rank (where 1 is most deprived)

    IDCDec

    Income Deprivation Affecting Children Index (IDACI) Decile (where 1 is most deprived 10% of LSOAs)

    IDOScore

    Income Deprivation Affecting Older People (IDAOPI) Score (rate)

    IDORank

    Income Deprivation Affecting Older People (IDAOPI) Rank (where 1 is most deprived)

    IDODec

    Income Deprivation Affecting Older People (IDAOPI) Decile (where 1 is most deprived 10% of LSOAs)

    CYPScore

    Children and Young People Sub-domain Score

    CYPRank

    Children and Young People Sub-domain Rank (where 1 is most deprived)

    CYPDec

    Children and Young People Sub-domain Decile (where 1 is most deprived 10% of LSOAs)

    ASScore

    Adult Skills Sub-domain Score

    ASRank

    Adult Skills Sub-domain Rank (where 1 is most deprived)

    ASDec

    Adult Skills Sub-domain Decile (where 1 is most deprived 10% of LSOAs)

    GBScore

    Geographical Barriers Sub-domain Score

    GBRank

    Geographical Barriers Sub-domain Rank (where 1 is most deprived)

    GBDec

    Geographical Barriers Sub-domain Decile (where 1 is most deprived 10% of LSOAs)

    WBScore

    Wider Barriers Sub-domain Score

    WBRank

    Wider Barriers Sub-domain Rank (where 1 is most deprived)

    WBDec

    Wider Barriers Sub-domain Decile (where 1 is most deprived 10% of LSOAs)

    IndScore

    Indoors Sub-domain Score

    IndRank

    Indoors Sub-domain Rank (where 1 is most deprived)

    IndDec

    Indoors Sub-domain Decile (where 1 is most deprived 10% of LSOAs)

    OutScore

    Outdoors Sub-domain Score

    OutRank

    Outdoors Sub-domain Rank (where 1 is most deprived)

    OutDec

    Outdoors Sub-domain Decile (where 1 is most deprived 10% of LSOAs)

    TotPop

    Total population: mid 2015 (excluding prisoners)

    DepChi

    Dependent Children aged 0-15: mid 2015 (excluding prisoners)

    Pop16_59

    Population aged 16-59: mid 2015 (excluding prisoners)

    Pop60+

    Older population aged 60 and over: mid 2015 (excluding prisoners)

    WorkPop

    Working age population 18-59/64: for use with Employment Deprivation Domain (excluding prisoners)

  4. Uplift factors and postcode files

    • gov.uk
    Updated Sep 2, 2025
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    Department for Education (2025). Uplift factors and postcode files [Dataset]. https://www.gov.uk/government/publications/uplift-factors-and-postcode-files
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    Dataset updated
    Sep 2, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    You might find these adult skills fund (ASF) data files showing the funding bodies that are responsible for funding each postcode in England useful.

    We use this data in funding calculations to support publicly funded education and skills in England; covering 16 to 19 study programmes, adult skills fund (ASF), free courses for jobs (FCFJ), apprenticeships, the European Social Fund and advanced learner loans bursary. This includes devolved ASF and FCFJ qualifications funded by mayoral combined authorities or the Greater London Authority.

    ASF postcode files

    To support the devolution of ASF, we have produced postcode files to show which postcodes are within the devolved areas, and consequently which body is responsible for ASF learners resident in a given postcode.

    How we use data from different years

    For funded learners aged 16 to 19, we apply the most recent single funding year’s factors to all learners in that funding year, regardless of their start date.

    For adult-funded aims and apprenticeship frameworks, we changed our calculations in the 2016 to 2017 year to apply the factor or cash value in our calculations based on the date when the learner started the aim or programme. For example, for learners who started adult-funded aims or apprenticeship frameworks from 1 August 2017 to 31 July 2018, we used the values from the 2017 to 2018 tables in the funding calculations for 2018 to 2019 and then in subsequent years.

    Postcodes area cost uplifts

    The area cost uplift reflects the higher cost of delivering provision in some parts of the country, such as London and the south east.

    Disadvantage uplifts

    These are uplifts or amounts for learners living in the most disadvantaged areas of the country.

    Historically we have used various versions of the Index of Multiple Deprivation (IMD) to determine disadvantage factors and uplifts.

    The IMD is assigned based on lower layer super output areas (LSOAs). LSOAs are a set of geographical areas developed, following the 2001 census, with the aim of defining areas of consistent size whose boundaries would not change between censuses.

    Therefore, we initially set disadvantage factors at LSOA level, and then apply the factors to postcodes within each LSOA. We publish disadvantage information on this page at LSOA level and also at postcode level.

    For the year 2021 to 2022 onwards, the 2019 IMD has been used for provision funded by the Department for Education (DfE) (or Education and Skills Funding Agency for relevant years). This used LSOA code based mapping from the 2011 census.

    For the year 2016 to 2017 up to and including the year 2020 to 2021, we used the 2015 IMD. This used the LSOA mapping from the 2011 census.

    Up to the funding year 2015 to 2016, we used the 2010 IMD which used the LSOAs from the 2001 census as its underlying mapping.

    Some Mayoral combined authorities and the Greater London Authority have wished to set different disadvantage factors to those of DfE for ASF provision they fund.

    We will indicate which organisation’s funding applies to each factor using a ‘SOFCode’ field in the files published here.

    The SOFCode field uses values from the <a rel="external" href="https://guidance.submit-learner-data.service.gov.uk/25-26/ilr/entity/LearningDeliveryFA

  5. o

    Low Carbon Technologies (LCT) Connected by LSOA (Lower layer Super Output...

    • ukpowernetworks.opendatasoft.com
    Updated Nov 14, 2025
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    (2025). Low Carbon Technologies (LCT) Connected by LSOA (Lower layer Super Output Area) [Dataset]. https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-low-carbon-technologies-lsoa/
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    Dataset updated
    Nov 14, 2025
    License

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

    Description

    Introduction Volume of Domestic Low Carbon Technologies (LCT) for both generation and demand (under 1MW) connected.

    Methodological ApproachLCT application data (which captures, amongst other things, the location, LCT type, and capacity) is taken from our Smart Connect portal at https://www.ukpowernetworks.co.uk/smart-connect;

    Using the Postcode of the MPAN (Meter Point Administration Number), we map the data to LSOA using Office for National Statistics datasets which are updated annuallyContains lower layer super output area (LSOA) codes and name data sourced from the Office for National Statistics licensed under the Open Government Licence v.3.0

    Quality Control Statement Quality Control Measures include a manual review and correction of data inconsistencies.

    Assurance Statement The Open Data Team has checked to ensure data accuracy and consistency.

    Other Download dataset information: Metadata (JSON) Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: Open Data Portal GlossaryTo view this data please register and login.

  6. a

    LSOA (2011) to Electoral Ward (2020) to LAD (2020) Best Fit Lookup in EW...

    • hub.arcgis.com
    • geoportal.statistics.gov.uk
    • +1more
    Updated Jan 22, 2021
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    Office for National Statistics (2021). LSOA (2011) to Electoral Ward (2020) to LAD (2020) Best Fit Lookup in EW (V2) [Dataset]. https://hub.arcgis.com/maps/ons::lsoa-2011-to-electoral-ward-2020-to-lad-2020-best-fit-lookup-in-ew-v2
    Explore at:
    Dataset updated
    Jan 22, 2021
    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 is a best fit lookup between 2011 lower layer super output areas, electoral wards/divisions and local authority districts in England and Wales as at 31 December 2020 (File Size - 7 MB) Field Names - LSOA11CD, LSOA11NM, WD20CD, WD20NM, LAD20CD, LAD20NM, FIDField Types - Text, Text, Text, Text, Text, Text, TextField Lengths - 9, 33, 9, 53, 9, 35NB: Electoral Change orders operative in May 2020 postponed until May 2021File updated following receipt of The Leeds (Reorganisation of Community Governance) Amendment Order 2018. Boundary and code change for Garforth & Swillington, and Temple Newsam wards)FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal.

    For more information and an overview of best-fitting follow this link - https://geoportal.statistics.gov.uk/datasets/f0aac7ccbfd04cda9eb03e353c613faa/about

    REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LSOA11_WD20_LAD20_EW_LU_v2_f514a75a131249caa65227cdc6275a21/FeatureServer

  7. w

    Vehicle licensing statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 15, 2025
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    Department for Transport (2025). Vehicle licensing statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/vehicle-licensing-statistics-data-tables
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Transport
    Description

    Data files containing detailed information about vehicles in the UK are also available, including make and model data.

    Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.

    The Department for Transport is committed to continuously improving the quality and transparency of our outputs, in line with the Code of Practice for Statistics. In line with this, we have recently concluded a planned review of the processes and methodologies used in the production of Vehicle licensing statistics data. The review sought to seek out and introduce further improvements and efficiencies in the coding technologies we use to produce our data and as part of that, we have identified several historical errors across the published data tables affecting different historical periods. These errors are the result of mistakes in past production processes that we have now identified, corrected and taken steps to eliminate going forward.

    Most of the revisions to our published figures are small, typically changing values by less than 1% to 3%. The key revisions are:

    Licensed Vehicles (2014 Q3 to 2016 Q3)

    We found that some unlicensed vehicles during this period were mistakenly counted as licensed. This caused a slight overstatement, about 0.54% on average, in the number of licensed vehicles during this period.

    3.5 - 4.25 tonnes Zero Emission Vehicles (ZEVs) Classification

    Since 2023, ZEVs weighing between 3.5 and 4.25 tonnes have been classified as light goods vehicles (LGVs) instead of heavy goods vehicles (HGVs). We have now applied this change to earlier data and corrected an error in table VEH0150. As a result, the number of newly registered HGVs has been reduced by:

    • 3.1% in 2024

    • 2.3% in 2023

    • 1.4% in 2022

    Table VEH0156 (2018 to 2023)

    Table VEH0156, which reports average CO₂ emissions for newly registered vehicles, has been updated for the years 2018 to 2023. Most changes are minor (under 3%), but the e-NEDC measure saw a larger correction, up to 15.8%, due to a calculation error. Other measures (WLTP and Reported) were less notable, except for April 2020 when COVID-19 led to very few new registrations which led to greater volatility in the resultant percentages.

    Neither these specific revisions, nor any of the others introduced, have had a material impact on the statistics overall, the direction of trends nor the key messages that they previously conveyed.

    Specific details of each revision made has been included in the relevant data table notes to ensure transparency and clarity. Users are advised to review these notes as part of their regular use of the data to ensure their analysis accounts for these changes accordingly.

    If you have questions regarding any of these changes, please contact the Vehicle statistics team.

    All vehicles

    Licensed vehicles

    Overview

    VEH0101: https://assets.publishing.service.gov.uk/media/68ecf5acf159f887526bbd7c/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 99.7 KB)

    Detailed breakdowns

    VEH0103: https://assets.publishing.service.gov.uk/media/68ecf5abf159f887526bbd7b/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 23.8 KB)

    VEH0105: https://assets.publishing.service.gov.uk/media/68ecf5ac2adc28a81b4acfc8/veh0105.ods">Licensed vehicles at

  8. Lower layer Super Output Areas (December 2011) Boundaries EW BFC (V3)

    • geoportal.statistics.gov.uk
    • open-geography-portalx-ons.hub.arcgis.com
    • +1more
    Updated Dec 7, 2020
    + more versions
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    Office for National Statistics (2020). Lower layer Super Output Areas (December 2011) Boundaries EW BFC (V3) [Dataset]. https://geoportal.statistics.gov.uk/datasets/ons::lower-layer-super-output-areas-december-2011-boundaries-ew-bfc-v3/about
    Explore at:
    Dataset updated
    Dec 7, 2020
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    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 Lower layer Super Output Areas for England and Wales, as at December 2011. The BFC boundaries are full resolution - clipped to the coastline (Mean High Water mark). Version 3 - Amendments made to remove spike anomalies which occurred due to the automated production process. No changes to boundaries, names and codes have been undertaken. Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Lower_layer_Super_Output_Areas_(Dec_2011)_Boundaries_Full_Clipped_(BFC)_EW_V3/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Lower_layer_Super_Output_Areas_Dec_2011_Boundaries_Full_Clipped_BFC_EW_V3/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Lower_layer_Super_Output_Areas_Dec_2011_Boundaries_Full_Clipped_BFC_EW_V3_2022/FeatureServer

  9. a

    Anglian Water Domestic Water Quality 2022

    • hub.arcgis.com
    Updated Jan 30, 2024
    + more versions
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    darbon_anglian (2024). Anglian Water Domestic Water Quality 2022 [Dataset]. https://hub.arcgis.com/maps/51f6eb5a0f2c462fa3f031a49dd40997_0/about
    Explore at:
    Dataset updated
    Jan 30, 2024
    Dataset authored and provided by
    darbon_anglian
    License

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

    Area covered
    Description

    Data OriginSamples were taken from customer taps. They were then analysed, and the results were uploaded to a sampling system. This dataset is an extract from this database.Data TriageWe discussed:Whether to use individual samples or averagesWhat date range would be appropriate for MVPHow best to anonymise the data geographicallyPreferred: Geospatial to LSOADo geospatial join to find the LSOA that each customer sample location (within whatever coordinate system you have them as) is found withinAcceptable for MVP: Postcode to LSOAJoin ONS dataset on postcode, keep LSOA code fieldWhy is Geospatial to LSOA preferred? Because it is more accurate since the postcode mapping is best fitted by plotting the location of the postcode's mean address rather than sample point’s specific location.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Office for National Statistics (2022). Postcode to OA (2011) to LSOA to MSOA to LAD (May 2022) Best Fit Lookup in the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/e7824b1475604212a2325cd373946235
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Postcode to OA (2011) to LSOA to MSOA to LAD (May 2022) Best Fit Lookup in the UK

Explore at:
Dataset updated
Jun 14, 2022
Dataset authored and provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

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

Area covered
Description

A best-fit lookup between postcodes, frozen 2011 Census Output Areas (OA), Lower Layer Super Output Areas (LSOA), Middle Layer Super Output Areas (MSOA) and current local authority districts (LAD) as at May 2022 in the UK. Postcodes are best-fitted by plotting the location of the postcode's mean address into the areas of the output geographies. (File size 24 MB).Field Names - PCD7, PCD8, PCDS, DOINTR, DOTERM, USERTYPE, OA11CD, LSOA11CD, MSOA11CD, LADCD, LSOA11NM, MSOA11NM, LADNM, LADNMWField Types - All TextField Lengths - 7, 8, 8, 8, 8, 1, 9, 9, 9, 9, 55, 65, 45, 45

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