OS NGD Building Features
Last updated
Last updated
The OS NGD Building Features Collection gives you access to the most current and comprehensive buildings data captured by OS as a standalone collection.
The collection is comprised of four feature types:
The collection doesn't contain structures or mobile caravans.
OS NGD Buildings data limitations are noted on the known limitations page on the OS NGD Documentation site:
The OS NGD Building Features Collection is an authoritative, nationally consistent dataset that's quality assured against specifications.
As well as extensive attribution, it contains data source and change metadata.
It contains identifiers that allow buildings to be cross-referenced to corresponding addresses and sites.
Improvements offered by OS NGD Building Features when compared to buildings data within OS MasterMap Topography Layer include:
Daily updates: In comparison to the six-weekly updates to OS MasterMap Topography Layer, the OS NGD Buildings Theme is updated daily to ensure for the most current representation of buildings data for Great Britain.
Analytical design: The OS NGD Buildings Theme has been developed to drive more powerful analysis through enriched data attribution and design flexibility.
Tailored Access: By taking advantage of new access methods provided by the OS NGD (i.e. OS Select+Build), it is possible to obtain buildings data without the overhead of data management of surplus topographical features present in OS MasterMap Topography Layer. Using OS Select+Build you can you can quickly create your own tailored data package/s rather than taking a pre-selected OS product. For example, if you're only interested in buildings data, then you just select the OS NGD Buildings Theme or even just certain feature types within the theme. There's no need to take a larger product and spend time filtering out buildings data from it. You can also select data from different OS NGD collections to build your own bespoke data package/s.
Building Feature Type: A redesigned building geometry is provided to represent a single building footprint. The feature type co-exists alongside the Building Part Feature Type to allow for the greatest flexibility in building data analysis.
Enhanced attribution: Contains a wealth of information relating to building type, height, construction material, age, usage, number of floors, and roof material and shape.
Key competitors providing similar data to the collection include:
OpenStreetMap – open crowd-sourced data
Overture
Detailed competitor insights, including information on additional competitors in this area, are available from Klue:
More information about the release is available from the What's New page of the OS NGD Documentation site:
A list of benefits of the collection and its feature types are available on OS NGD Building Features Collection documentation page of the OS NGD Documentation site:
Land and Property: Identify possible opportunities to implement Green Energy solutions, supporting Net Zero initiatives.
Telecoms: Identify buildings upon which mobile network utilities could be located.
Financial Services: Understand the potential rebuild cost of a building and calculate risk analysis, underwriting policies and claims management.
Fire and Rescue: Identify buildings vulnerable to fire risk.
Technical information on data included within the collection is included within the Using OS NGD data summary page of the OS NGD Documentation site:
OS Select+Build
OS NGD API – Features
OS NGD API – Tiles (only available for one feature type in the collection: Building Part)
PSGA Members: Included under standard PSGA licence terms.
OS Partners: The collection is accessible via the following contracts:
Data Components
Online Viewing
Consumer Solutions
Developer
Distribution
Printed Products
Educational Services
Pricing can be either calculated on an area or a per-feature basis. Some feature attributes (for example, Building Age) carry additional royalty obligations.
In the March 2025 release, the OS NGD Building Features Collection received one new feature type () and new attribution to an existing feature type ().
The collection can be accessed through the via: