CW1 5PH sold prices
Balfour Close has only one postcode, CW1 5PH. Price trends | Analysis of CW1 5
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
|
6, Balfour Close, Haslington, CW1 5PH
- |
28 Sep 2023 | £172,000 | 88 m² 947 sqft | £1,954 £181 | Semi-D (4 bed) | |||
|
14, Balfour Close, Haslington, CW1 5PH
- |
23 Jun 2021 | £169,000 | 75 m² 807 sqft | £2,253 £209 | Semi-D (2 bed) | |||
|
11, Balfour Close, Haslington, CW1 5PH
- |
15 Dec 2020 | £153,000 | 83 m² 893 sqft | £1,843 £171 | Semi-D (4 bed) | |||
|
4, Balfour Close, Haslington, CW1 5PH
- |
19 Nov 2015 | £127,500 | 47 m² 505 sqft | £2,712 £251 | Semi-D (2 bed) | |||
| 7, Balfour Close, Haslington, CW1 5PH | 25 Feb 2013 | £105,000 | 75 m² 807 sqft | £1,400 £130 | Semi-D (2 bed) | |||
| 5, Balfour Close, Haslington, CW1 5PH | 09 Dec 2011 | £112,500 | 46 m² 495 sqft | £2,445 £227 | Semi-D (2 bed) | |||
|
8, Balfour Close, Haslington, CW1 5PH
- |
19 Oct 2007 | £140,000 | Semi-D (4 bed) | |||||
|
1, Balfour Close, Haslington, CW1 5PH
- |
17 Nov 2006 | £144,000 | 84 m² 904 sqft | £1,714 £159 | Semi-D (4 bed) | |||
| 17, Balfour Close, Haslington, CW1 5PH | 14 Dec 2001 | £72,950 | Semi-D (4 bed) | |||||
| 12, Balfour Close, Haslington, CW1 5PH | 11 Oct 2001 | £60,000 | Semi-D (2 bed) | |||||
|
6, Balfour Close
- |
£172,000
Sep-2023
|
88 947 | 1,954 181 | |||||
|
14, Balfour Close
- |
£169,000
Jun-2021
|
75 807 | 2,253 209 | |||||
|
11, Balfour Close
- |
£153,000
Dec-2020
|
83 893 | 1,843 171 | |||||
|
4, Balfour Close
- |
£127,500
Nov-2015
|
47 505 | 2,712 251 | |||||
| 7, Balfour Close | £105,000
Feb-2013
|
75 807 | 1,400 130 | |||||
| 5, Balfour Close | £112,500
Dec-2011
|
46 495 | 2,445 227 | |||||
|
8, Balfour Close
- |
£140,000
Oct-2007
|
|||||||
|
1, Balfour Close
- |
£144,000
Nov-2006
|
84 904 | 1,714 159 | |||||
| 17, Balfour Close | £72,950
Dec-2001
|
|||||||
| 12, Balfour Close | £60,000
Oct-2001
|
The data above for Balfour Close can be visualised as a scatter graph, this will show price trends over time.