PropScient's forecasts draw on public property registries and open government data. Those sources are acknowledged here, in the form each publisher asks for.
| Jurisdiction | Source and required acknowledgement | Licence |
|---|---|---|
| United Kingdom | HM Land Registry Price Paid Data Contains HM Land Registry data © Crown copyright and database right 2026. This data is licensed under the Open Government Licence v3.0. | Licence |
| United Kingdom | HM Land Registry — Overseas companies that own property in England and Wales (OCOD) Information produced by HM Land Registry © Crown copyright 2026. Used under licence from HM Land Registry. | Licence |
| France | Demandes de valeurs foncières (DVF), DGFiP Source: Demandes de valeurs foncières, Direction générale des Finances publiques, published via Etalab. Licence Ouverte / Open Licence 2.0. | Licence |
| Singapore | Urban Redevelopment Authority (URA) private residential transaction data Contains information from the Urban Redevelopment Authority of Singapore, accessed via the URA Data Service, used under the Singapore Open Data Licence version 1.0. | Licence |
| United Arab Emirates | Dubai Land Department, published as open data via Dubai Pulse Source: Dubai Land Department, Government of Dubai, published as Open Data. Used under the Dubai Open Data Licence. | Licence |
Each of the licences above asks to be acknowledged. This page is that acknowledgement, and it covers every place the underlying data contributes to something we publish or show.
Registry data is used to calibrate and check our forecasts. It is not the forecast itself: the model reads live demand signals, and registry records are how we test whether what it predicted actually happened. Figures shown in the product are aggregates — medians and shares computed across many transactions — never individual records.
We do not store or publish the names of buyers, sellers or property owners, and we do not publish individual transactions. We rank markets, not people.
PropScient is an independent company. We are not affiliated with, endorsed by, or acting on behalf of any land registry, government department or agency named on this page. Any error in our analysis is ours, not theirs.
If you are a data publisher and something here is wrong, incomplete, or not in the form your licence requires, write to [email protected] and we will correct it.