100+ datasets found
  1. f

    Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance...

    • frontiersin.figshare.com
    pdf
    Updated Nov 28, 2023
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    Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex (2023). Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.pdf [Dataset]. http://doi.org/10.3389/fdgth.2023.1186208.s001
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    pdfAvailable download formats
    Dataset updated
    Nov 28, 2023
    Dataset provided by
    Frontiers
    Authors
    Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex
    License

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

    Description

    IntroductionLinking free-text addresses to unique identifiers in a structural address database [the Ordnance Survey unique property reference number (UPRN) in the United Kingdom (UK)] is a necessary step for downstream geospatial analysis in many digital health systems, e.g., for identification of care home residents, understanding housing transitions in later life, and informing decision making on geographical health and social care resource distribution. However, there is a lack of open-source tools for this task with performance validated in a test data set.MethodsIn this article, we propose a generalisable solution (A Framework for Linking free-text Addresses to Ordnance Survey UPRN database, FLAP) based on a machine learning–based matching classifier coupled with a fuzzy aligning algorithm for feature generation with better performance than existing tools. The framework is implemented in Python as an Open Source tool (available at Link). We tested the framework in a real-world scenario of linking individual’s (n=771,588) addresses recorded as free text in the Community Health Index (CHI) of National Health Service (NHS) Tayside and NHS Fife to the Unique Property Reference Number database (UPRN DB).ResultsWe achieved an adjusted matching accuracy of 0.992 in a test data set randomly sampled (n=3,876) from NHS Tayside and NHS Fife CHI addresses. FLAP showed robustness against input variations including typographical errors, alternative formats, and partially incorrect information. It has also improved usability compared to existing solutions allowing the use of a customised threshold of matching confidence and selection of top n candidate records. The use of machine learning also provides better adaptability of the tool to new data and enables continuous improvement.DiscussionIn conclusion, we have developed a framework, FLAP, for linking free-text UK addresses to the UPRN DB with good performance and usability in a real-world task.

  2. National Statistics Address Lookup (March 2017) User Guide - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Jun 12, 2017
    + more versions
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    ckan.publishing.service.gov.uk (2017). National Statistics Address Lookup (March 2017) User Guide - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-statistics-address-lookup-march-2017-user-guide2
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    Dataset updated
    Jun 12, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    This is the User Guide for the National Statistics Address Lookup (NSAL) for Great Britain as at March 2017. The NSAL relates the Unique Property Reference Number (UPRN) for each GB address to a range of current geographies via 'best-fit' allocation from 2011 output areas. (File Size - 303 KB)

  3. AddressBase Premium - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 29, 2019
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    ckan.publishing.service.gov.uk (2019). AddressBase Premium - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/addressbase-premium2
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Our flagship address database, AddressBase® Premium gives you the most up to date, accurate information about addresses, properties and land areas. You'll be more efficient - making it easier and quicker to deliver a smooth service to your customers without postcode look-ups and address auto-completion for your websites. The insights to property life cycles you'll find within AddressBase Premium can give you all the information you need to shape the way you plan, operate and communicate with your audience. At scales of 1:10,000, AddressBase Premium has all the information you'll need to conduct risk analysis at the level of individual addresses and spot patterns hidden in your own data. AddressBase Premium contains current properties and addresses sourced from local authorities, Ordnance Survey and Royal Mail matched to the Unique Property Reference Number. It includes a range of information relating to an address or property from creation to retirement or demolition.

  4. Price Paid Data

    • gov.uk
    Updated Sep 29, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Sep 29, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    August 2025 data (current month)

    The August 2025 release includes:

    • the first release of data for August 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the August data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

  5. d

    Global Address Database (24M Streets) | Postal, Lat/Long, Localities &...

    • datarade.ai
    .csv
    Updated May 13, 2024
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    GeoPostcodes (2024). Global Address Database (24M Streets) | Postal, Lat/Long, Localities & Regions | Weekly Updates [Dataset]. https://datarade.ai/data-products/geopostcodes-address-data-global-coverage-24-m-streets-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    May 13, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Guam, Sint Maarten (Dutch part), Gibraltar, Ireland, Tanzania, Holy See, Kazakhstan, Malaysia, Guernsey, Åland Islands
    Description

    A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

    All geospatial data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

    Use cases for the Global Address Database (Geospatial data)

    • Address capture and validation

    • Parcel delivery

    • Master Data Management

    • Logistics and Shipping

    • Sales and Marketing

    Additional features

    • Fully and accurately geocoded

    • Multi-language support

    • Address ranges for streets covered by several zip codes

    • Comprehensive city definitions across countries

    • Administrative areas with a level range of 0-4

    • International Address Formats

    For additional insights, you can combine the map data with:

    • UNLOCODE and IATA codes (geocoded)

    • Time zones and Daylight Saving Time (DST)

    • Population data: Past and future trends

    Data export methodology

    Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our location databases

    • Enterprise-grade service

    • Reduce integration time and cost by 30%

    • Frequent, consistent updates for the highest quality

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  6. Care Homes Database

    • infinity-db.co.uk
    xlsx
    Updated Sep 26, 2022
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    Infinity Databank (2022). Care Homes Database [Dataset]. https://infinity-db.co.uk/care-homes-database/
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    xlsxAvailable download formats
    Dataset updated
    Sep 26, 2022
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.

  7. ONS Postcode Directory (February 2024) for the UK

    • geoportal.statistics.gov.uk
    Updated Feb 28, 2024
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    Office for National Statistics (2024). ONS Postcode Directory (February 2024) for the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/e14b1475ecf74b58804cf667b6740706
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    Dataset updated
    Feb 28, 2024
    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 is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

  8. National Statistics Address Lookup (March 2017) - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 12, 2017
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    ckan.publishing.service.gov.uk (2017). National Statistics Address Lookup (March 2017) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-statistics-address-lookup-march-20172
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    Dataset updated
    Jun 12, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    Click on the title for more details and to download the file. (File Size - 372 MB).

  9. Central and Local Government Unregistered Land

    • data.gov.uk
    csv, xls
    Updated Aug 6, 2020
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    Ministry of Housing, Communities and Local Government (2020). Central and Local Government Unregistered Land [Dataset]. https://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land
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    csv, xlsAvailable download formats
    Dataset updated
    Aug 6, 2020
    Authors
    Ministry of Housing, Communities and Local Government
    License

    https://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land#licence-infohttps://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land#licence-info

    Description

    A list of central and local government land in England, which may not be registered with HM Land Registry (HMLR).

    HMLR has created this dataset for the Ministry for Housing, Communities and Local Government (MHCLG) by combining HMLR freehold polygon data with the public sector ownership data currently openly available from the Office of Government Property.

    The dataset is not definitive or complete as not all central and local government data is captured, and/or available, and the two datasets are not held in the same format. The list is therefore indicative rather than definitive.

    Intellectual Property Rights

    The dataset includes address data processed against Ordnance Survey’s AddressBase Premium product and incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data:

    • for personal and/or non-commercial use
    • in relation to the analysis of public sector land and property.

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email

    Address data

    The following fields comprise the address data included in the dataset

    • Property Name
    • Street No
    • Road
    • Town
    • Postcode
  10. List of .gov.uk domain names

    • gov.uk
    Updated Jan 13, 2025
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    Government Digital Service (2025). List of .gov.uk domain names [Dataset]. https://www.gov.uk/government/publications/list-of-gov-uk-domain-names
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    Dataset updated
    Jan 13, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Government Digital Service
    Description

    The UK government manages the .gov.uk domain name.

    Public sector bodies may register .gov.uk domain names for a variety of reasons. The rules governing which organisations can register for a .gov.uk domain names, how to choose appropriate names and manage them are set out in the apply for a .gov.uk domain name: step by step.

    About the list of .gov.uk domains

    The list of .gov.uk domain names is available in CSV format with 3 columns.

    1. Domain name: the domain name registered for use, which should work with or without a preceding ‘www’.

    2. Owner: the name of the organisation that owns the domain name, for example a central government department or local authority.

    3. Representing: the organisation the domain name is registered for, often the same as the owner but could be an agency or other organisation the owner is registering the domain on behalf of.

  11. w

    return-address.co.uk - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated Aug 18, 2023
    + more versions
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    AllHeart Web Inc (2023). return-address.co.uk - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/return-address.co.uk/
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    csvAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Oct 3, 2025
    Area covered
    United Kingdom
    Description

    Explore the historical Whois records related to return-address.co.uk (Domain). Get insights into ownership history and changes over time.

  12. d

    Doorda UK Geospatial Real Estate Data | Urban Planning Data | 34M+ Addresses...

    • datarade.ai
    .csv
    Updated Aug 1, 2023
    + more versions
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    Doorda (2023). Doorda UK Geospatial Real Estate Data | Urban Planning Data | 34M+ Addresses from 10 Data Sources | Customer Insights and Location Planning [Dataset]. https://datarade.ai/data-products/doorda-uk-geoaddress-real-estate-data-property-data-34m-doorda
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Aug 1, 2023
    Dataset authored and provided by
    Doorda
    Area covered
    United Kingdom
    Description

    Doorda's UK Geospatial Real Estate Data provides a comprehensive database of over 34 million addresses aggregated from 10 data sources, offering unparalleled geospatial insights for customer insights and risk analysis purposes.

    Volume and stats: - 34M Addressable locations - 15M Exact Building Location - 9M derived Building Locations

    Our Geospatial Real Estate Data offers a multitude of use cases: - Location Planning - Risk Analysis - Customer Insights - Data Augmentation - Market Insights

    The key benefits of leveraging our Geospatial Real Estate Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source

    Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.

  13. G

    List of Companies Registered In Glasgow

    • dtechtive.com
    • find.data.gov.scot
    csv
    Updated May 29, 2025
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    Glasgow City Council (uSmart) (2025). List of Companies Registered In Glasgow [Dataset]. https://dtechtive.com/datasets/39425
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    csv(0.0063 MB), csv(10.3079 MB)Available download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Glasgow City Council (uSmart)
    Area covered
    Glasgow
    Description

    The 20,000+ registered companies with a registered address in Glasgow. The information is extracted from Companies House. It includes the company name, number, category (private limited, partnership), registered address, postcode, industry (SIC code), status (ex: active or liquidation), incorporation date... It is likely that some companies may just lie off Glasgow City Council's boundary. If you find a problem in the data, you can check the source either in the full UK list or by looking up a company or let us know. The data dictionary supplied by Companies House can be viewed here. There is also a data dictionary with field names and meanings contained in the resources. This dataset does not imply: - a partnership with Companies House - an endorsement by Companies House - a product approval by Companies House Licence: None glasgow-post-codes-py.txt - https://dataservices.open.glasgow.gov.uk/Download/Organisation/cc57ac4b-12d5-43b1-ad25-434638eec18c/Dataset/3093e34f-6dcb-4980-840b-965421c1b091/File/c2634107-bd43-4537-adb8-9046aeed844e/Version/c8fde78e-5396-4293-ac35-6f6c96a5d642

  14. d

    Doorda UK Rental Data | Residential Real Estate Data | 3M+ Addresses from 20...

    • datarade.ai
    .csv
    Updated Aug 1, 2023
    + more versions
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    Doorda (2023). Doorda UK Rental Data | Residential Real Estate Data | 3M+ Addresses from 20 Data Sources, Commercial Owners, Energy Performance [Dataset]. https://datarade.ai/data-products/doorda-uk-rental-real-estate-data-property-data-3m-addre-doorda
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Aug 1, 2023
    Dataset authored and provided by
    Doorda
    Area covered
    United Kingdom
    Description

    Doorda's UK Residential Real Estate Data provides a comprehensive database of over 34 million addresses sourced from 20 data sources, offering unparalleled insights for business intelligence and analytics purposes.

    Volume and stats: - 34M Addressable locations - 6M Addresses linked to Commercial Owner - 24M Energy Performance Inspections

    Our Residential Real Estate Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Lead Generation - Risk Management - Location Planning

    The key benefits of leveraging our Residential Real Estate Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source

    Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.

  15. OS Places API - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jul 21, 2021
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    ckan.publishing.service.gov.uk (2021). OS Places API - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/os-places-api
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    Dataset updated
    Jul 21, 2021
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Find UK addresses instantly online and be confident you're getting the most up-to-date information with our address API. Perform accurate geocoding and reverse geocoding with our secure, scalable, and resilient address look-up web service. Search by postcode, UPRN, full or partial address and ensure you get the right address first time. Keep your records accurate to provide effective citizen services. Our secure, scalable, and resilient address look-up web service, OS Places API lets you search the UK's most comprehensive online address database. With OS Places API, managing customer data is a breeze. Lightning-quick postcode and address search means your records are accurate and customer deliveries should always get to the right front door. When an incident happens, control room staff need to know which properties are closest. OS Places' GeoSearch tools give instant answers. This helps create the common operating picture that's vital for the emergency services.

  16. u

    Data from: I-CeM

    • beta.ukdataservice.ac.uk
    Updated Jun 9, 2025
    + more versions
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    Schurer, K., University of Cambridge, Cambridge Group for the History of Population and Social Structure; Wakelam, A., University of Cambridge, Department of Geography (2025). I-CeM [Dataset]. http://doi.org/10.5255/UKDA-SN-9281-1
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Schurer, K., University of Cambridge, Cambridge Group for the History of Population and Social Structure; Wakelam, A., University of Cambridge, Department of Geography
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Time period covered
    Jun 19, 1921
    Area covered
    England, Wales
    Description

    This Special Licence Access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset for England and Wales for 1921. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

    The anonymised main I-CeM database that complements these names and addresses is available under End User Licence access: SN 9281, Integrated Census Microdata (I-CeM), England and Wales, 1921. See the catalogue record for 9280 for details on how to access the EUL data.

    Further information about I-CeM can be found on the "https://www.campop.geog.cam.ac.uk/research/projects/icem/"> I-CeM Integrated Microdata Project and webpages.

    File format

    These data are available in delimited .txt format. Due to the size of the file, it has been zipped in '.7z' format to ease download delivery. The file can be easily unzipped using open-source 7-Zip software or similar packages. Users may need to take advice from their organisation's IT service.

  17. Doctors Database

    • infinity-db.co.uk
    xlsx
    Updated Sep 30, 2022
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    Infinity Databank (2022). Doctors Database [Dataset]. https://infinity-db.co.uk/nhs-doctors-database/
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    xlsxAvailable download formats
    Dataset updated
    Sep 30, 2022
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    Our NHS doctors database holds current medical and clinical specialists, and has valid doctors email addresses, for responsive clinical marketing and medical research.

  18. National Address Gazetteer - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 18, 2013
    + more versions
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    ckan.publishing.service.gov.uk (2013). National Address Gazetteer - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-address-gazetteer
    Explore at:
    Dataset updated
    Mar 18, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    The national address gazetteer brings together address information from local authorities and Ordnance Survey to create a ‘national address gazetteer database’, providing one definitive source of accurate publicly-owned spatial address data for the whole of the public sector. To deliver this, the Local Government Group and Ordnance Survey have entered into a joint venture partnership, ‘GeoPlace™’, from which address products have been created. It brings together local government’s address and streets gazetteers - the National Land and Property Gazetteer (NLPG), National Street Gazetteer (NSG) and One Scotland Gazetteer (OSG) - with all of Ordnance Survey’s addressing products - ADDRESS-POINT® and OS MasterMap® Address Layer and Address Layer 2. The national address gazetteer contains the existing unique identifiers and the definitive street name and number (generated by local authorities) with the postcode from the Royal Mail as well as a link to the map base from Ordnance Survey, through the OS TOID® and grid reference. The data contains the unique property reference number (UPRN) and unique street reference number (USRN) from the NLPG and OSG as the primary keys.

  19. u

    Data from: I-CeM

    • datacatalogue.ukdataservice.ac.uk
    Updated May 29, 2025
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    Schurer, K., University of Essex, Department of History; Higgs, E., University of Essex, Department of History (2025). I-CeM [Dataset]. http://doi.org/10.5255/UKDA-SN-7856-2
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    Dataset updated
    May 29, 2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Schurer, K., University of Essex, Department of History; Higgs, E., University of Essex, Department of History
    Time period covered
    Jan 1, 1851 - Jan 1, 1911
    Area covered
    Scotland, England and Wales
    Description

    This Special Licence access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset of the censuses of Great Britain for the period 1851 to 1911. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

    The anonymised main I-CeM database that complements these names and addresses is available under SN 7481. It comprises the Censuses of Great Britain for the period 1851-1911; data are available for England and Wales for 1851-1861 and 1881-1911 (1871 is not currently available for England and Wales) and for Scotland for 1851-1901 (1911 is not currently available for Scotland). The database contains over 180 million individual census records and was digitised and harmonised from the original census enumeration books. It details characteristics for all individuals resident in Great Britain at each of the included Censuses. The original digital data has been coded and standardised; the I-CeM database has consistent geography over time and standardised coding schemes for many census variables.

    This dataset of names and addresses for individual census records is organised per country (England and Wales; Scotland) and per census year. Within each data file each census record contains first and last name, street address and an individual identification code (RecID) that allows linking with the corresponding anonymised I-CeM record. The data cannot be used for true linking of individual census records across census years for commercial genealogy purposes nor for any other commercial purposes. The SL arrangements are required to ensure that commercial sensitivity is protected. For information on making an application, see the Access section.

    The data were updated in February 2020, with some files redeposited with longer field length limits. Users should note that some name and address fields are truncated due to the limits set by the LDS project that transcribed the original data. No more than 10,000 records out of some 210 million across the study should be affected. Examples include:

    • England and Wales:
      • 1851 - truncated at the 24th character (maximum I-CeM field length 95 characters)
      • 1881 - truncated at the 16th character (maximum I-CeM field length 50 characters).
    • Scotland: for 1851‐71, truncations affect less than 0.01% of all addresses and for 1851 around 1% at most
      • 1851 - truncated at the 70th character
      • 1861 - truncated at the 76th character
      • 1871 - truncated at the 82th character
      • 1881 - truncated at the 50th character.

    Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and I-CeM Guide webpages.

  20. Ordnance Survey National Geographic Database Bus Shelters

    • data-insight-tfwm.hub.arcgis.com
    Updated Jun 30, 2023
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    Transport for West Midlands (2023). Ordnance Survey National Geographic Database Bus Shelters [Dataset]. https://data-insight-tfwm.hub.arcgis.com/items/3dd9756e014144f39df957a8c5eee74e
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    Dataset updated
    Jun 30, 2023
    Dataset authored and provided by
    Transport for West Midlandshttp://www.tfwm.org.uk/
    Area covered
    Description

    The OS National Geographic Database (NGD) Address Theme provides a complete and definitive view of UK address data. It's designed to underpin a range of analytical use cases and provide the most detailed view of an address and its lifecycle. This table demonstrates the geographical extents of bus shelters in the West Midlands Conurbation area as polygons. This dataset is available to local authority partners. To request access contact the Data Insight Team.

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Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex (2023). Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.pdf [Dataset]. http://doi.org/10.3389/fdgth.2023.1186208.s001

Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.pdf

Related Article
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pdfAvailable download formats
Dataset updated
Nov 28, 2023
Dataset provided by
Frontiers
Authors
Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex
License

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

Description

IntroductionLinking free-text addresses to unique identifiers in a structural address database [the Ordnance Survey unique property reference number (UPRN) in the United Kingdom (UK)] is a necessary step for downstream geospatial analysis in many digital health systems, e.g., for identification of care home residents, understanding housing transitions in later life, and informing decision making on geographical health and social care resource distribution. However, there is a lack of open-source tools for this task with performance validated in a test data set.MethodsIn this article, we propose a generalisable solution (A Framework for Linking free-text Addresses to Ordnance Survey UPRN database, FLAP) based on a machine learning–based matching classifier coupled with a fuzzy aligning algorithm for feature generation with better performance than existing tools. The framework is implemented in Python as an Open Source tool (available at Link). We tested the framework in a real-world scenario of linking individual’s (n=771,588) addresses recorded as free text in the Community Health Index (CHI) of National Health Service (NHS) Tayside and NHS Fife to the Unique Property Reference Number database (UPRN DB).ResultsWe achieved an adjusted matching accuracy of 0.992 in a test data set randomly sampled (n=3,876) from NHS Tayside and NHS Fife CHI addresses. FLAP showed robustness against input variations including typographical errors, alternative formats, and partially incorrect information. It has also improved usability compared to existing solutions allowing the use of a customised threshold of matching confidence and selection of top n candidate records. The use of machine learning also provides better adaptability of the tool to new data and enables continuous improvement.DiscussionIn conclusion, we have developed a framework, FLAP, for linking free-text UK addresses to the UPRN DB with good performance and usability in a real-world task.

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