This profile describes data held by GeoDS which has been supplied by Bricks&Logic. The data have coverage for England and Wales, and at their most detailed, presented at the scale of each residential property, with attributes such building type, construction year, number of bedrooms alongside other features such as whether a property has a garden, balcony, or roof terrace. For each property, rental and sale estimate values are also provided.

Because these data are commercially sensitive, they are only available for access through either our Safeguarded or Secure routes.

This catalogue entry concerns the Safeguarded data, which are aggregated from properties into a zonal geography. If you would like to apply for the more detailed Secure data, information can be found via the Related Record link below.

Content

These data are aggregated to LSOA (2021 Census version). The data includes attributes for the property and annual average sale and rental values.

See the Variable Dictionary and Data Summary documents below for further details.

Quality, Representation and Bias

Bricks&Logic consolidates various national open data sources related to housing, including EPC records and Land Registry data. Additionally, in partnership with multiple estate agents, they acquire further details about properties and their rental features. In cases where original property attributes are missing, Bricks&Logic employs specialised modelling techniques to estimate these characteristics comprehensively, including sale and rental prices. However, it's important to note that these are modelled estimates that fill data gaps and could impact the accuracy of the data. The Bricks&Logic data are updated retrospectively over time as new information about property become known. These data represent outputs from models that were compiled in January 2024.

To ensure the reliability of modelled estimates, the accuracy of the predicted fields are tested by Bricks&Logic against a subset of addresses that have been described by their Estate Agent clients. This not only allows for validation of the predictions has also provided a real-world testing environment to refine the models further. Additionally, Bricks&Logic regularly update data where new information is available, using these tests to enhance the precision and accuracy of their output.