Forest Close sold prices
Forest Close has only one postcode, NG16 6QZ. Price trends | Analysis of NG16 6
ft²
m²
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
|
17, Forest Close, Selston, NG16 6QZ
- |
28 Oct 2021 | £225,000 | 73 m² 785 sqft | £3,082 £286 | Detached (2 bed) | |||
|
9, Forest Close, Selston, NG16 6QZ
- |
18 Jun 2021 | £155,000 | 72 m² 775 sqft | £2,152 £199 | Detached (2 bed) | |||
|
21, Forest Close, Selston, NG16 6QZ
- |
02 Oct 2020 | £226,000 | 88 m² 947 sqft | £2,568 £238 | Detached (2 bed) | |||
|
11, Forest Close, Selston, NG16 6QZ
- |
14 Sep 2020 | £175,000 | 112 m² 1205 sqft | £1,562 £145 | Detached (2 bed) | |||
| 8, Forest Close, Selston, NG16 6QZ | 10 Apr 2017 | £190,000 | 106 m² 1140 sqft | £1,792 £166 | Detached | |||
| 10, Forest Close, Selston, NG16 6QZ | 07 Feb 2017 | £195,000 | 106 m² 1140 sqft | £1,839 £170 | Detached | |||
|
3, Forest Close, Selston, NG16 6QZ
- |
31 Jul 2008 | £104,000 | 53 m² 570 sqft | £1,962 £182 | Semi-D (2 bed) | |||
|
2, Forest Close, Selston, NG16 6QZ
- |
25 May 2007 | £136,500 | Detached (2 bed) | |||||
|
15, Forest Close, Selston, NG16 6QZ
- |
08 Dec 2006 | £116,500 | Detached (3 bed) | |||||
| 23, Forest Close, Selston, NG16 6QZ | 17 May 2002 | £74,950 | Detached (2 bed) | |||||
|
17, Forest Close
- |
£225,000
Oct-2021
|
73 785 | 3,082 286 | |||||
|
9, Forest Close
- |
£155,000
Jun-2021
|
72 775 | 2,152 199 | |||||
|
21, Forest Close
- |
£226,000
Oct-2020
|
88 947 | 2,568 238 | |||||
|
11, Forest Close
- |
£175,000
Sep-2020
|
112 1205 | 1,562 145 | |||||
| 8, Forest Close | £190,000
Apr-2017
|
106 1140 | 1,792 166 | |||||
| 10, Forest Close | £195,000
Feb-2017
|
106 1140 | 1,839 170 | |||||
|
3, Forest Close
- |
£104,000
Jul-2008
|
53 570 | 1,962 182 | |||||
|
2, Forest Close
- |
£136,500
May-2007
|
|||||||
|
15, Forest Close
- |
£116,500
Dec-2006
|
|||||||
| 23, Forest Close | £74,950
May-2002
|
The data above for Forest Close can be visualised as a scatter graph, this will show price trends over time.