West Bank House West Bank, North Yorkshire is the most expensive house sold in Hirst Courtney, at £990,000 in June 2025. The 100 highest recorded sales start at £111,000.
Sold prices from HM Land Registry, not asking prices. How we calculate this
All house prices in Hirst CourtneyThe 100 most expensive houses sold in Hirst Courtney went for between £111,000 and £990,000.
Hirst Courtney, a village in North Yorkshire, has seen 136 property sales since 1995. The priciest home on the list sold for an impressive £990,000, while the most affordable came in at £111,000 — showing a wide range in the local market. The most expensive sale took place in 2025, and the latest recorded sale happened in 2026.
West Bank House West Bank, North Yorkshire tops the list at £990,000, followed by Ivy Cottage Main Road, North Yorkshire at £700,000. Select a house to see where it is and what it sold for before.
| Year | Sold for | Change on previous sale |
|---|---|---|
| 2022 | £640,000 | First recorded sale |
Hirst Courtney has the 35th highest recorded sale of the 79 areas in North Yorkshire.
£1,000,000
£995,000
Hirst Courtney (this area)
£990,000
£987,500
£970,000
More quick answers on house prices, sales, areas, green space and crime in Hirst Courtney.
There's a lot to think about. Whether it's a home to live in or a buy-to-let, our free checklist walks you through what to check before you make an offer.
What to check before you buyPrice information is from HM Land Registry, location boundaries are from OpenStreetMap, and households and population are from Nomis Census 2021 postcode estimates (21 March 2021). Parks and green space are from OS Open Greenspace. Contains OS data © Crown copyright and database right 2026. Crime is from police.uk street-level data. Contains public sector information licensed under the Open Government Licence v3.0. Source: police.uk.
Last updated 6 November 2026 at 00:20 with the latest Land Registry data (August 2026). The Hirst Courtney dataset covers 7 postcodes.
Contains HM Land Registry data © Crown copyright and database right 2026. This data is licensed under the Open Government Licence v3.0.
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