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Thorn Close sold prices

Thorn Close has only one postcode, OL10 4TQ.
Price trends | Analysis of OL10 4

Last sold Price paid Floor area (m²) Floor area (sq ft) £ per m² £ per sq ft Type Sold m² sq ft £/m² £/sq ft
10, Thorn Close, Heywood, OL10 4TQ - photos available 12 Sep 2022 £197,500 70 m² 753 sqft £2,821 £262 Semi-D (3 bed)
13, Thorn Close, Heywood, OL10 4TQ - photos available 24 Mar 2021 £94,000 B 72 m² 775 sqft £1,305 £121 Semi-D (3 bed)
11, Thorn Close, Heywood, OL10 4TQ - photos available 19 May 2017 £91,100 Semi-D (4 bed)
8, Thorn Close, Heywood, OL10 4TQ - photos available 12 Apr 2017 £119,000 71 m² 764 sqft £1,676 £155 Semi-D (3 bed)
5, Thorn Close, Heywood, OL10 4TQ - photos available 11 Jan 2017 £100,000 73 m² 785 sqft £1,369 £127 Semi-D (3 bed)
20, Thorn Close, Heywood, OL10 4TQ - photos available 16 Sep 2016 £150,000 138 m² 1485 sqft £1,086 £100 Semi-D (3 bed)
4, Thorn Close, Heywood, OL10 4TQ - photos available 10 Aug 2011 £66,000 71 m² 764 sqft £929 £86 Semi-D (3 bed)
23, Thorn Close, Heywood, OL10 4TQ 19 Apr 2011 £120,000 124 m² 1334 sqft £967 £89 Semi-D (4 bed)
16, Thorn Close, Heywood, OL10 4TQ 08 Dec 2003 £59,995 Semi-D (3 bed)
17, Thorn Close, Heywood, OL10 4TQ - photos available 23 Nov 2001 £37,500 84 m² 904 sqft £446 £41 Terrace
14, Thorn Close, Heywood, OL10 4TQ 25 Apr 1997 £39,600 Semi-D (3 bed)
10, Thorn Close - photos available £197,500
Sep-2022
 70 753 2,821 262
13, Thorn Close - photos available £94,000 B
Mar-2021
 72 775 1,305 121
11, Thorn Close - photos available £91,100
May-2017
8, Thorn Close - photos available £119,000
Apr-2017
 71 764 1,676 155
5, Thorn Close - photos available £100,000
Jan-2017
 73 785 1,369 127
20, Thorn Close - photos available £150,000
Sep-2016
 138 1485 1,086 100
4, Thorn Close - photos available £66,000
Aug-2011
 71 764 929 86
23, Thorn Close £120,000
Apr-2011
 124 1334 967 89
16, Thorn Close £59,995
Dec-2003
17, Thorn Close - photos available £37,500
Nov-2001
 84 904 446 41
14, Thorn Close £39,600
Apr-1997

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