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What data does Sprift cover and where does it come from?

Sprift provides 300+ data points on over 30 million UK residential properties, sourced from official and trusted providers.

Data sources

Sprift aggregates property data from thousands of official and trusted public and private sources, including:

  • HM Land Registry: sold prices, title information
  • Ordnance Survey: mapping and address data
  • Royal Mail: address and postcode data
  • Environment Agency: flood risk
  • Valuation Office Agency: council tax bands and rating data
  • Historic England: listed building status and conservation areas
  • Ofcom: broadband and mobile coverage
  • ONS: demographics and area statistics
  • Google Maps: imagery and location data

All data is presented exactly as received from the original source, which is unaltered and undiluted, and linked by UPRN (Unique Property Reference Number) for consistency and accuracy.

Data types available

Data available on Sprift includes (but is not limited to): sold prices, EPCs (Energy Performance Certificates), planning history, flood risk, title plans, lease length, plot size, council tax band, broadband and mobile coverage, conservation area status, listed building status, radon gas risk, local schools and Ofsted ratings, transport links, demographics, and property photos.

Geographic coverage

Sprift covers UK residential properties. Coverage of specific data types may vary by region. Some data sets are more comprehensive for England and Wales than for Scotland and Northern Ireland, as data availability depends on the original source. Please speak to our team for details relevant to your specific location and use case.

How up to date is the data?

Data is updated as frequently as it is made available by the original source. There can be processing delays between a real-world event (such as a property sale completing or a new EPC being lodged) and the data appearing in Sprift. This is normal and reflects the update cycle of the upstream data provider rather than a Sprift issue. See our article on Data accuracy for more information.