British Geological Survey. 2026 User guide : BGS GILP UPRN - highest susceptibility data. Nottingham, UK, British Geological Survey, 19pp. (OR/25/083) (Unpublished)
The British Geological Survey (BGS) is integrating Unique Property Reference Numbers (UPRNs), issued by Ordnance Survey, with its geohazard datasets to meet increasing demand for property-specific information that can be readily shared and integrated into digital workflows. UPRNs are widely used across sectors including conveyancing, insurance, lending, and local government. However, because a UPRN is represented as a single point location, it can be challenging to assign geological information that may vary across a property's full extent.
To address this, BGS has developed a robust methodology that derives a representative property footprint for each UPRN and associates it with geological hazard information from the GeoSure Insurance and Lenders Product (GILP). Where a property footprint intersects one or more hazard zones, the dataset reports the highest susceptibility class, representing the most severe geohazard identified within the UPRN's spatial extent.
The highest susceptibility classification is derived from the GeoSure Insurance and Lenders Product (GILP), which combines six established geohazard themes contained within the BGS GeoSure dataset: Shrink-Swell, Landslide Susceptibility, Soluble Rocks, Compressible Ground, Collapsible Deposits, and Running Sand affecting low-rise buildings, including detached, semi-detached and terraced houses, small structures, and buildings with shallow foundations less than 2 m deep. The reported value therefore represents the greatest level of susceptibility identified from current geological understanding of these hazards at the property location.
The data is provided in GIS and CSV formats to support users who prefer non-spatial data. It also tackles data gaps where UPRNs lack spatial building footprints. This work supports the broader adoption of UPRNs by local authorities and value-added resellers, enhancing accessibility and usability of geohazard data for a wide range of users.
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