NR18 0TL sold prices
Willow Close has only one postcode, NR18 0TL. Price trends | Analysis of NR18 0
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 |
|---|---|---|---|---|---|---|---|---|
|
10, Willow Close, Wymondham, NR18 0TL
- |
20 Dec 2022 | £260,000 | 75 m² 807 sqft | £3,466 £322 | Detached (2 bed) | |||
|
12, Willow Close, Wymondham, NR18 0TL
- |
30 Oct 2020 | £235,000 | 78 m² 839 sqft | £3,012 £279 | Detached (3 bed) | |||
|
4, Willow Close, Wymondham, NR18 0TL
- |
19 Oct 2018 | £255,000 | 77 m² 828 sqft | £3,311 £307 | Semi-D (3 bed) | |||
|
7, Willow Close, Wymondham, NR18 0TL
- |
30 Jul 2018 | £188,000 | 44 m² 473 sqft | £4,272 £396 | Semi-D (2 bed) | |||
|
13, Willow Close, Wymondham, NR18 0TL
- |
20 Sep 2013 | £128,000 | 47 m² 505 sqft | £2,723 £252 | Semi-D (2 bed) | |||
|
9, Willow Close, Wymondham, NR18 0TL
- |
05 Sep 2011 | £118,000 | 44 m² 473 sqft | £2,681 £249 | Semi-D (2 bed) | |||
|
2, Willow Close, Wymondham, NR18 0TL
- |
11 Oct 2010 | £195,000 | 107 m² 1151 sqft | £1,822 £169 | Detached (3 bed) | |||
|
16, Willow Close, Wymondham, NR18 0TL
- |
16 Jun 2009 | £136,000 | Semi-D (3 bed) | |||||
| 1, Willow Close, Wymondham, NR18 0TL | 28 Jan 2002 | £69,500 | Semi-D (2 bed) | |||||
| 3, Willow Close, Wymondham, NR18 0TL | 17 Dec 1999 | £54,000 | Semi-D (2 bed) | |||||
|
10, Willow Close
- |
£260,000
Dec-2022
|
75 807 | 3,466 322 | |||||
|
12, Willow Close
- |
£235,000
Oct-2020
|
78 839 | 3,012 279 | |||||
|
4, Willow Close
- |
£255,000
Oct-2018
|
77 828 | 3,311 307 | |||||
|
7, Willow Close
- |
£188,000
Jul-2018
|
44 473 | 4,272 396 | |||||
|
13, Willow Close
- |
£128,000
Sep-2013
|
47 505 | 2,723 252 | |||||
|
9, Willow Close
- |
£118,000
Sep-2011
|
44 473 | 2,681 249 | |||||
|
2, Willow Close
- |
£195,000
Oct-2010
|
107 1151 | 1,822 169 | |||||
|
16, Willow Close
- |
£136,000
Jun-2009
|
|||||||
| 1, Willow Close | £69,500
Jan-2002
|
|||||||
| 3, Willow Close | £54,000
Dec-1999
|
The data above for Willow Close can be visualised as a scatter graph, this will show price trends over time.