Haig Road sold prices
Haig Road has only one postcode, BL8 2ND. Price trends | Analysis of BL8 2
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
|
41, Haig Road, Bury, BL8 2ND
- |
21 Dec 2022 | £221,000 | 74 m² 796 sqft | £2,986 £277 | Terrace (3 bed) | |||
|
27, Haig Road, Bury, BL8 2ND
- |
11 Feb 2022 | £230,000 | 73 m² 785 sqft | £3,150 £292 | Terrace (3 bed) | |||
|
43, Haig Road, Bury, BL8 2ND
- |
02 Sep 2020 | £199,995 | 73 m² 785 sqft | £2,739 £254 | Semi-D (3 bed) | |||
|
17, Haig Road, Bury, BL8 2ND
- |
28 Aug 2015 | £220,000 | 125 m² 1345 sqft | £1,760 £163 | Detached (4 bed) | |||
|
29, Haig Road, Bury, BL8 2ND
- |
26 Jun 2009 | £132,500 | Semi-D (3 bed) | |||||
|
35, Haig Road, Bury, BL8 2ND
- |
03 May 2007 | £103,000 | 51 m² 548 sqft | £2,019 £187 | Terrace (1 bed) | |||
|
33, Haig Road, Bury, BL8 2ND
- |
30 Apr 2004 | £127,500 | 73 m² 785 sqft | £1,746 £162 | Terrace (3 bed) | |||
| 39, Haig Road, Bury, BL8 2ND | 09 Jan 2004 | £119,000 | Terrace (3 bed) | |||||
|
23, Haig Road, Bury, BL8 2ND
- |
06 Nov 2003 | £161,000 | 138 m² 1485 sqft | £1,166 £108 | Detached (4 bed) | |||
|
21, Haig Road, Bury, BL8 2ND
- |
09 Aug 2002 | £123,950 | Detached (4 bed) | |||||
| 31, Haig Road, Bury, BL8 2ND | 18 May 2001 | £74,950 | Terrace (3 bed) | |||||
|
41, Haig Rd
- |
£221,000
Dec-2022
|
74 796 | 2,986 277 | |||||
|
27, Haig Rd
- |
£230,000
Feb-2022
|
73 785 | 3,150 292 | |||||
|
43, Haig Rd
- |
£199,995
Sep-2020
|
73 785 | 2,739 254 | |||||
|
17, Haig Rd
- |
£220,000
Aug-2015
|
125 1345 | 1,760 163 | |||||
|
29, Haig Rd
- |
£132,500
Jun-2009
|
|||||||
|
35, Haig Rd
- |
£103,000
May-2007
|
51 548 | 2,019 187 | |||||
|
33, Haig Rd
- |
£127,500
Apr-2004
|
73 785 | 1,746 162 | |||||
| 39, Haig Rd | £119,000
Jan-2004
|
|||||||
|
23, Haig Rd
- |
£161,000
Nov-2003
|
138 1485 | 1,166 108 | |||||
|
21, Haig Rd
- |
£123,950
Aug-2002
|
|||||||
| 31, Haig Rd | £74,950
May-2001
|
The data above for Haig Road can be visualised as a scatter graph, this will show price trends over time.