Forest Road sold prices

Forest Road has only one postcode, TN2 5GY.
Analysis of TN2 5

square metre square foot

Most recent sale Address Highest price Highest £ per sqm Largest area Smallest area	Last sold	Price paid	Floor area (m²) Floor area (sq ft)	£ per m² £ per sq ft	Type
Apartment 7 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	18 Oct 2024	£358,500	75 m² 807 sqft	£4,780 £444	Flat (2 bed)
Apartment 10 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	04 Dec 2023	£377,500	98 m² 1054 sqft	£3,852 £357	Flat (2 bed)
Apartment 3 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	13 Mar 2023	£360,000	76 m² 818 sqft	£4,736 £439	Flat (2 bed)
Apartment 6 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	09 Aug 2022	£370,000	75 m² 807 sqft	£4,933 £458	Flat (2 bed)
Apartment 1 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	30 Jun 2021	£325,000	75 m² 807 sqft	£4,333 £402	Flat (2 bed)
Apartment 2 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	13 Aug 2018	£270,000	73 m² 785 sqft	£3,698 £343	Flat (2 bed)
Apartment 5 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	17 May 2018	£318,500	70 m² 753 sqft	£4,550 £422	Flat (2 bed)
Apartment 4 Greenwood Court, 216, Forest Road, Tunbridge Wells, TN2 5GY -	07 Feb 2017	£315,000	75 m² 807 sqft	£4,200 £390	Flat (2 bed)
Apartment 7 Greenwood Court, 216, Forest Rd -	£358,500 Oct-2024	75 807	4,780 444
Apartment 10 Greenwood Court, 216, Forest Rd -	£377,500 Dec-2023	98 1054	3,852 357
Apartment 3 Greenwood Court, 216, Forest Rd -	£360,000 Mar-2023	76 818	4,736 439
Apartment 6 Greenwood Court, 216, Forest Rd -	£370,000 Aug-2022	75 807	4,933 458
Apartment 1 Greenwood Court, 216, Forest Rd -	£325,000 Jun-2021	75 807	4,333 402
Apartment 2 Greenwood Court, 216, Forest Rd -	£270,000 Aug-2018	73 785	3,698 343
Apartment 5 Greenwood Court, 216, Forest Rd -	£318,500 May-2018	70 753	4,550 422
Apartment 4 Greenwood Court, 216, Forest Rd -	£315,000 Feb-2017	75 807	4,200 390

The data above for Forest Road can be visualised as a scatter graph, this will show price trends over time.