
House Price Watch
In the charming area of Lyme Handley, part of Cheshire East, the real estate market has seen some remarkable transactions. The most expensive house sold for an impressive £775,000 in 2020, while the least expensive was at £88,000. Since 1995, there have been 15 sales in the area, with the latest occurring in 2022. Interestingly, four houses on the list are located on the same street, Prince Road, showcasing the appeal of this quaint neighborhood.
Sold in March 2020
elmhurst cottage lyme park, cheshire east
£775,000
Sold in December 2016
cliff farm , cheshire east
£725,000
Sold in December 2017
keepers cottage lyme park, cheshire east
£698,000
4.
Sold in August 2020
middlecale farm lyme park, cheshire east
£655,000
5.
Sold in September 2017
plattwood cottages lyme park, cheshire east
£650,000
Sold for a lower amount since this price
6.
Sold in September 2015
windgather lyme park, cheshire east
£557,500
7.
Sold in February 2022
plattwood cottages lyme park, cheshire east
£550,000
8.
Sold in 2002
cornfields , cheshire
£435,000
9.
Sold in September 1999
cliff farm , cheshire
£375,000
10.
Sold in October 1999
gnathole farm , cheshire
£372,500
£3,000,000
287.10%
£2,525,000
225.81%
£1,598,960
106.32%
£4,350,000
461.29%
£5,625,000
625.81%
£2,100,000
170.97%
£10,060,540
1198.13%
11.
Sold in 2001
higher cliff farm lyme handley, cheshire
£350,000
12.
Sold in February 2000
reed farm , cheshire
£290,000
13.
Sold in November 1997
gnathole farm , cheshire
£268,000
14.
Sold in 1995
plattwood cottages lyme park, cheshire
£115,000
15.
Sold in July 1999
middlecale cottage lyme park, cheshire
£88,000
This list of the 100 most expensive homes sold in Lyme Handley is compiled from all-time residential sales recorded by the HM Land Registry. Each entry includes the sale price and transaction date. The dataset was last updated 20 May 2026 at 19:28 with the latest HM Land Registry data (January 2022). The Lyme Handley dataset covers 16 postcodes. Prices reflect actual recorded transactions, not current market valuations. Read our full data methodology.