BS6 7TR sold prices
Malmesbury Close has only one postcode, BS6 7TR. Price trends | Analysis of BS6 7
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
|
11, Malmesbury Close, Bristol, BS6 7TR
- |
04 Jun 2021 | £850,000 | 130 m² 1399 sqft | £6,538 £607 | Semi-D (2 bed) | |||
| 13, Malmesbury Close, Bristol, BS6 7TR | 04 Feb 2020 | £395,000 | 141 m² 1517 sqft | £2,801 £260 | Semi-D (4 bed) | |||
| 9, Malmesbury Close, Bristol, BS6 7TR | 27 Jan 2012 | £375,000 | 132 m² 1420 sqft | £2,840 £263 | Semi-D (3 bed) | |||
|
4, Malmesbury Close, Bristol, BS6 7TR
- |
31 Aug 2011 | £430,000 | 111 m² 1194 sqft | £3,873 £359 | Semi-D (4 bed) | |||
| 1, Malmesbury Close, Bristol, BS6 7TR | 04 Sep 2009 | £434,000 | 145 m² 1560 sqft | £2,993 £278 | Semi-D (4 bed) | |||
|
5, Malmesbury Close, Bristol, BS6 7TR
- |
27 Aug 2009 | £372,500 | 146 m² 1571 sqft | £2,551 £236 | Semi-D (4 bed) | |||
| 8, Malmesbury Close, Bristol, BS6 7TR | 26 Apr 2004 | £265,000 | Semi-D (3 bed) | |||||
| 3, Malmesbury Close, Bristol, BS6 7TR | 28 Nov 1997 | £108,000 | Semi-D (4 bed) | |||||
|
14, Malmesbury Close, Bristol, BS6 7TR
- |
18 Apr 1996 | £98,000 | Semi-D (4 bed) | |||||
| 2, Malmesbury Close, Bristol, BS6 7TR | 28 Mar 1996 | £78,500 | Semi-D (3 bed) | |||||
|
11, Malmesbury Close
- |
£850,000
Jun-2021
|
130 1399 | 6,538 607 | |||||
| 13, Malmesbury Close | £395,000
Feb-2020
|
141 1517 | 2,801 260 | |||||
| 9, Malmesbury Close | £375,000
Jan-2012
|
132 1420 | 2,840 263 | |||||
|
4, Malmesbury Close
- |
£430,000
Aug-2011
|
111 1194 | 3,873 359 | |||||
| 1, Malmesbury Close | £434,000
Sep-2009
|
145 1560 | 2,993 278 | |||||
|
5, Malmesbury Close
- |
£372,500
Aug-2009
|
146 1571 | 2,551 236 | |||||
| 8, Malmesbury Close | £265,000
Apr-2004
|
|||||||
| 3, Malmesbury Close | £108,000
Nov-1997
|
|||||||
|
14, Malmesbury Close
- |
£98,000
Apr-1996
|
|||||||
| 2, Malmesbury Close | £78,500
Mar-1996
|
The data above for Malmesbury Close can be visualised as a scatter graph, this will show price trends over time.