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.
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)
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.
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 August 2025 release includes:
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:
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:
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.
Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
License information was derived automatically
Customer Contacts Database Information showing customer contacts to UK Contact Centres and One Stop Centres by month. Dataset Guidance: F2F = Face-to-face (One Stop Centre) CC = Contact centre (Call centre/telephone)
https://infinity-db.co.uk/https://infinity-db.co.uk/
Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.
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
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).
Access 2.5 million verified UK small and medium-sized business profiles with decision-maker contacts and firmographics. Ideal for B2B sales and market expansion. Best Price Guarantee.
Introducing Our Global Small Business Contact Data Solution
In today’s dynamic business landscape, connecting with small businesses is essential for growth. Our Global Small Business Contact Data provides you with the tools to reach and engage with millions of small business owners and decision-makers worldwide.
What Sets Our Data Apart?
Our data is specifically focused on small businesses, offering you a targeted and efficient way to connect with your ideal customers. With over 41 million verified contacts, including business emails and phone numbers, we prioritise accuracy to ensure your outreach is effective.
Our Data Collection Process
We employ a robust data collection process that combines the power of ten dynamic publication sites with our dedicated Contact Discovery Team. This dual approach guarantees a comprehensive and reliable database of small business contacts.
Applications Across Diverse Industries
Our data is versatile and applicable to a wide range of industries. Whether you’re in finance, technology, or retail, you can leverage our small business contact data to identify new opportunities, expand your customer base, and build strong partnerships.
Seamless Integration
Our small business database seamlessly integrates with our broader data collection framework. This allows you to access additional valuable insights, such as market trends and competitor analysis, to inform your business decisions.
Building Strong Relationships
Connecting with small business owners is about building relationships. Our data helps you identify key decision-makers and reach out to them directly. Whether you’re offering products, services, or partnerships, our data empowers you to connect with the right people at the right time.
Privacy and Security
We are committed to protecting your data and the privacy of our contacts. Our data collection and handling processes adhere to strict privacy regulations, ensuring your peace of mind.
Continuous Improvement
We are constantly enhancing our small business contact data solution to provide you with the most accurate and up-to-date information. Our commitment to quality ensures that you have the best possible data to support your business growth.
Global Coverage
Our small business contact data covers a wide range of countries, including the United States, Canada, the United Kingdom, Germany, France, Australia, Japan, China, India, Brazil, and many more.
Industries We Cover
Our data spans across various industries, including finance, technology, healthcare, retail, energy, transportation, hospitality, and more.
Comprehensive Business Information
In addition to contact details, our database includes valuable information about business size and revenue, enabling you to target specific segments of the small business market.
Our Global Small Business Contact Data is more than just a list of contacts; it’s a powerful tool to help you achieve your business goals. By providing accurate, comprehensive, and actionable data, we empower you to connect with small businesses, build lasting relationships, and drive growth.
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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
UK whatsapp number list is one of the latest tools that will meet your needs. Moreover, this directory is the latest creation of List to Data. With this, you can contact the corporate leaders of your target firms, who might assist you in achieving your objective. Furthermore, we keep the UK whatsapp number list GDPR standards and have well-constructed verified data. We regularly update the data as well. Not to mention that it will allow you to interact with potential investors. It will therefore assist you in generating more sales leads and boosting your company’s revenue. UK whatsapp phone number data contains the contact addresses of the people who live in the country. You can get thousands of contacts and other information in this database. UK whatsapp phone number data can boost digital marketing campaigns. Running an online campaign is crucial right now if you want to stay in the spotlight. You cannot accomplish anything without the internet and digital marketing. Indeed, we all understand that at this time it is a must to communicate. We cannot overlook the fact that gadgets are used by everyone. Because of this, we must face reality and update our marketing strategy.
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://infinity-db.co.uk/https://infinity-db.co.uk/
With NHS contact database selections covering CEO's, Directors and Management decision makers, responsive marketing lists can be purchased by job role, seniority level, size and region.
Staff details including addresses and telephone numbers
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
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Explore the historical Whois records related to return-address.co.uk (Domain). Get insights into ownership history and changes over time.
https://infinity-db.co.uk/https://infinity-db.co.uk/
Our NHS doctors database holds current medical and clinical specialists, and has valid doctors email addresses, for responsive clinical marketing and medical research.
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.