Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
For every organization it is important to have the correct address details of customers. We have a location database in which every address in the globe can be found. From more than 1.8 billion addresses and households we provide detailed information about the geo coordinates, the surrounded area and region.
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.
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
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:
If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.
The following fields comprise the address data included in Price Paid Data:
The July 2025 release includes:
As we will be adding to the July 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:
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:
Our UK Postcode Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
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.
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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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)
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Click on the title for more details and to download the file. (File Size - 372 MB).
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.
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.
Global Email Address & Contact Data Solutions: 293M+ Verified Emails and Phone Numbers for B2B & B2C Outreach Boost your marketing and sales strategies with Forager.ai's Global Contact Data and Email address Data. Our comprehensive database offers access to over 293 million verified email addresses, along with phone number data and detailed B2B Email data and contact information. Whether you're focused on expanding your B2B Email outreach or improving lead generation, our solutions provide the tools you need to engage decision-makers and drive success.
Designed to support your Email data-driven marketing efforts, Forager.ai delivers valuable insights with email data, phone number data, and contact details for both B2B and B2C audiences. Build meaningful connections and leverage high-quality, verified Email data to execute precise and effective outreach strategies.
Core Features of Forager.ai B2B Email Data Solutions: Targeted B2B Email Data: Gain access to a diverse collection of email addresses that help you execute personalized email campaigns targeting key decision-makers across industries.
Comprehensive Phone Number Data: Enhance your sales and telemarketing strategies with our extensive phone number database, perfect for direct outreach and boosting customer engagement.
B2B and B2C Contact Data: Tailor your messaging with B2B contact data and B2C contact Email address data that allow you to effectively connect with C-suite executives, decision-makers, and key consumer groups.
CEO Contact Information: Unlock direct access to CEO contact details, ideal for high-level networking, partnership building, and executive outreach.
Strategic Applications of Forager.ai Data: Online Marketing & Campaigns: Utilize our email address data and phone number information to run targeted online marketing campaigns, increasing conversion rates and boosting outreach effectiveness.
Database Enrichment: Improve your sales databases and CRM systems by enriching them with accurate and up-to-date contact data, supporting more informed decision-making.
B2B Lead Generation: Tap into our rich B2B Email data to expand your business networks, refine your outreach efforts, and generate high-quality leads.
Sales Data Amplification: Supercharge your sales strategies by integrating enriched contact data for better targeting and higher sales conversion rates.
Competitive Market Intelligence: Gain valuable insights into your competitors by leveraging our comprehensive contact data to analyze trends and shifts in the market.
Why Forager.ai Stands Out: Precision & Accuracy: With a 95%+ accuracy rate, Forager.ai ensures that your email data and contact information is always fresh, reliable, and ready to be used for maximum impact.
Global Reach, Local Relevance: Our Email address data solutions cover global markets while allowing you to focus on specific regions, industries, and audience segments tailored to your business needs.
Cost-Effective Solutions: We offer scalable, affordable B2B email data and B2B contact data packages, ensuring you get high-value results without breaking your budget.
Ethical, Compliant Data: We strictly adhere to GDPR guidelines, ensuring that all contact data is ethically sourced and legally compliant, protecting both your business and your customers.
Unlock the Power of Verified Email (Personal Email data & Business Email data) Contact Data with Forager.ai Explore the potential of our 293M+ verified email addresses and phone numbers to elevate your B2B email marketing, sales outreach, and data-driven initiatives. Our contact data solutions are tailored to support your lead generation, sales pipeline, and competitive intelligence efforts, giving you the tools to execute more effective and impactful campaigns.
Top Use Cases for Forager.ai Data Solutions: Lead Generation & B2B Prospecting
Cold B2B Email Outreach
CRM Enrichment & Marketing Automation
Account-Based Marketing (ABM)
Recruiting & Executive Search
Market Research & Competitive Intelligence
Flexible Data Licensing & Access Options: One-Time Data Files available upon request
24/7 API Access for seamless integration
Monthly & Annual Plans tailored to your needs
API Credits Roll Over with no expiration
Reach out to us today to discover how Forager.ai's high-quality Email data and contact data can transform your outreach strategies and drive greater business success.
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
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:
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
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.
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.
The list of .gov.uk domain names is available in CSV format with 3 columns.
Domain name: the domain name registered for use, which should work with or without a preceding ‘www’.
Owner: the name of the organisation that owns the domain name, for example a central government department or local authority.
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.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the ONS UPRN Directory (ONSUD) for Great Britain as at January 2022. The ONSUD relates the Unique Property Reference Number (UPRN) for each GB address from AddressBase® Epoch 89 to a range of current statutory administrative, electoral, health and other statistical geographies. The ONSUD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSUD is issued every 6 weeks and is designed to complement the Ordnance Survey AddressBase® product. For further technical information about this file, please refer to the User Guide document contained within the downloadable zip file. Please note that this product contains Royal Mail, Gridlink, Ordnance Survey and ONS Intellectual Property Rights. (File Size - 511 MB)
Facing high email bounce-backs, low CTRs, and poor response rates, while trying to target the who’s who in top companies? Our hyper-targeted and personalized CEO Email Lists but guarantee zooming ROIs, quality prospects, better brand image and long-lasting business deals. Here’s how!
We net in key CEO decision-makers undertaking major company strategic, planning, PR and execution decisions, on the strength of our segmented lists with customizable data filters like: • Job Title • Name • Email Address • Employees Size • Country • Revenue Size • Phone • Mobile and Fax • State, City, Zip Code • Website • Business Contact Number • Industry • SIC & NAICS Code • Company Name, to list a few!
This depth of data intelligence on the company’s top leadership gives Span Global Services the flexibility to undertake responsive multi-channel marketing – be it direct marketing, event marketing, email marketing, or telemarketing.
Want to bypass gatekeepers and market your products and services to the top Leadership effectively? Our targeted CEO Email Database helps you connect directly with top CEOs, with our data expertise.
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.
A global self-hosted Market Research dataset containing all administrative divisions, cities, addresses, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.
Use cases for the Global Zip Code Database (Market Research data)
Address capture and validation
Map and visualization
Reporting and Business Intelligence (BI)
Master Data Mangement
Logistics and Supply Chain Management
Sales and Marketing
Data export methodology
Our map data packages are offered in variable formats, including .csv. All geographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.
Product Features
Fully and accurately geocoded
Administrative areas with a level range of 0-4
Multi-language support including address names in local and foreign languages
Comprehensive city definitions across countries
For additional insights, you can combine the map data with:
UNLOCODE and IATA codes
Time zones and Daylight Saving Times
Why do companies choose our Market Research databases
Enterprise-grade service
Reduce integration time and cost by 30%
Weekly updates for the highest quality
Note: Custom geographic data packages are available. Please submit a request via the above contact button for more details.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.