11 Church Lane, Buckinghamshire is the most expensive house sold in Mursley, at £1,900,000 in February 2026. The 100 highest recorded sales start at £438,000.
Sold prices from HM Land Registry, not asking prices. How we calculate this
All house prices in MursleyThe 100 most expensive houses sold in Mursley went for between £438,000 and £1,900,000.
Mursley, located in Aylesbury Vale, has seen 336 house sales since 1995. The most expensive house on the list sold for £1,900,000, while the least expensive went for £438,000. The priciest sale also marks the most recent transaction, taking place in 2026, making it the latest house sale on the list.
11 Church Lane, Buckinghamshire tops the list at £1,900,000, followed by 11 Church Lane, Buckinghamshire at £1,300,000. Select a house to see where it is and what it sold for before.
| Year | Sold for | Change on previous sale |
|---|---|---|
| 2026 | £1,900,000 | +£600,000 |
| 2017 | £1,300,000 | +£350,000 |
| 2005 | £950,000 | +£530,000 |
| 1999 | £420,000 | First recorded sale |
Mursley has the 40th highest recorded sale of the 113 areas in Aylesbury Vale.
£1,970,000
£1,925,000
Mursley (this area)
£1,900,000
£1,900,000
£1,900,000
More quick answers on house prices, sales, areas, green space and crime in Mursley.
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 00:29 with the latest Land Registry data (August 2026). The Mursley dataset covers 35 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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