House Price Watch
100 most expensive houses in Grange de Lings CP
In the charming area of Grange de Lings CP, nestled within West Lindsey, the real estate market has seen some intriguing transactions over the years. The most expensive house sold for £250,000 in 2003, while the least expensive was priced at £36,000. Since 1995, there have been 13 sales, with the latest occurring in 2017. Interestingly, 9 of these houses are located on the same street, which includes A15, Hall Lane, Horncastle Lane, and St Georges Lane.
Sold in March 2003
honeysuckle lodge , lincolnshire
£250,000
Sold in May 2015
1 watering dyke cottages, lincolnshire
£215,000
Sold in July 2014
5 brigg road, lincolnshire
£142,500
4.
Sold in December 2007
5 brigg road, lincolnshire
£139,500
5.
Sold in November 2006
1 watering dyke cottages, lincolnshire
£134,000
6.
Sold in August 2017
2 watering dyke cottages, lincolnshire
£109,000
7.
Sold in November 2006
3 watering dyke cottages, lincolnshire
£93,000
Sold for a lower amount since this price
8.
Sold in September 2007
2 watering dyke cottages, lincolnshire
£90,500
9.
Sold in May 2012
3 watering dyke cottages, lincolnshire
£90,000
10.
Sold in August 2002
5 brigg road, lincolnshire
£67,000
Most expensive houses in areas around Grange de Lings CP
£1,525,000
510.00%
£810,000
224.00%
£1,100,000
340.00%
£775,000
210.00%
£1,050,000
320.00%
£1,313,000
425.20%
£3,050,000
1120.00%
11.
Sold in 2006
2 watering dyke cottages, lincolnshire
£62,000
12.
Sold in November 2006
2 watering dyke cottages, lincolnshire
£55,000
13.
Sold in 1995
4 brigg road, lincolnshire
£36,000
Data Source & Update Note:
This list of the 100 most expensive homes sold in Grange de Lings CP 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 13:44 with the latest HM Land Registry data (July 2017). The Grange de Lings CP dataset covers 5 postcodes. Prices reflect actual recorded transactions, not current market valuations. Read our full data methodology.