Manor House High Street, North Yorkshire is the most expensive house sold in Stokesley, at £1,575,000 in February 2015. The 100 highest recorded sales start at £440,000.
Sold prices from HM Land Registry, not asking prices. How we calculate this
All house prices in StokesleyThe 100 most expensive houses sold in Stokesley went for between £440,000 and £1,575,000.
Stokesley, part of Hambleton, has seen 2,860 home sales since 1995. The priciest property on the list sold for £1,575,000 in 2015, while the least expensive went for £440,000. The most recent sale on the list took place in 2026, showing the area's housing market remains active across the decades.
Manor House High Street, North Yorkshire tops the list at £1,575,000, followed by 2a Station Road, North Yorkshire at £1,030,000. Select a house to see where it is and what it sold for before.
| Year | Sold for | Change on previous sale |
|---|---|---|
| 2021 | £870,000 | +£697,500 |
| 1995 | £172,500 | First recorded sale |
Stokesley has the 16th highest recorded sale of the 167 areas in Hambleton.
£1,700,000
£1,625,000
Stokesley (this area)
£1,575,000
£1,568,000
£1,558,000
More quick answers on house prices, sales, areas, green space and crime in Stokesley.
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 00:25 with the latest Land Registry data (September 2026). The Stokesley dataset covers 183 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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