CM16 6AU sold prices
Weald Bridge Road includes CM16 6AS , CM16 6AT , CM16 6AU . Analysis of CM16 6
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
| Croxton, Weald Bridge Road, North Weald, CM16 6AU | 05 Aug 2022 | £900,000 B | 157 m² 1689 sqft | £5,732 £532 | Other | |||
| Hazelmere, Weald Bridge Road, North Weald, CM16 6AU | 02 Mar 2021 | £950,000 | 274 m² 2949 sqft | £3,467 £322 | Detached (4 bed) | |||
|
The Marigolds, Weald Bridge Road, North Weald, CM16 6AU
- |
19 Apr 2017 | £645,000 | 163 m² 1754 sqft | £3,957 £367 | Detached (4 bed) | |||
|
Yeolands, Weald Bridge Road, North Weald, CM16 6AU
- |
30 Jul 2014 | £510,000 | 136 m² 1463 sqft | £3,750 £348 | Detached (4 bed) | |||
|
Greenacre, Weald Bridge Road, North Weald, CM16 6AU
- |
24 Oct 2008 | £650,000 | Detached (3 bed) | |||||
| 1 Cutlers Green Cottages, Weald Bridge Road, North Weald, CM16 6AU | 07 Feb 2001 | £175,000 | Semi-D | |||||
| Weald Lodge, Weald Bridge Road, North Weald, CM16 6AU | 08 Mar 1999 | £490,000 | Detached (4 bed) | |||||
| 2 Cutlers Green Cottages, Weald Bridge Road, North Weald, CM16 6AU | 14 Dec 1998 | £104,000 | Detached | |||||
| Longfields, Weald Bridge Road, North Weald, CM16 6AU | 28 Nov 1995 | £270,000 | Detached (4 bed) | |||||
| Croxton, Weald Bridge Rd | £900,000
B
Aug-2022
|
157 1689 | 5,732 532 | |||||
| Hazelmere, Weald Bridge Rd | £950,000
Mar-2021
|
274 2949 | 3,467 322 | |||||
|
The Marigolds, Weald Bridge Rd
- |
£645,000
Apr-2017
|
163 1754 | 3,957 367 | |||||
|
Yeolands, Weald Bridge Rd
- |
£510,000
Jul-2014
|
136 1463 | 3,750 348 | |||||
|
Greenacre, Weald Bridge Rd
- |
£650,000
Oct-2008
|
|||||||
| 1 Cutlers Green Cottages, Weald Bridge Rd | £175,000
Feb-2001
|
|||||||
| Weald Lodge, Weald Bridge Rd | £490,000
Mar-1999
|
|||||||
| 2 Cutlers Green Cottages, Weald Bridge Rd | £104,000
Dec-1998
|
|||||||
| Longfields, Weald Bridge Rd | £270,000
Nov-1995
|
The data above for Weald Bridge Road can be visualised as a scatter graph, this will show price trends over time.