IP28 8FL sold prices
Poppy Close has only one postcode, IP28 8FL. Price trends | Analysis of IP28 8
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
| 5, Poppy Close, Red Lodge, IP28 8FL | 08 Jan 2024 | £183,000 | 51 m² 548 sqft | £3,588 £333 | Terrace | |||
|
2, Poppy Close, Red Lodge, IP28 8FL
- |
01 Aug 2022 | £380,000 | 110 m² 1184 sqft | £3,454 £320 | Detached (4 bed) | |||
|
12, Poppy Close, Red Lodge, IP28 8FL
- |
22 Nov 2019 | £336,000 | 62 m² 667 sqft | £5,419 £503 | Detached | |||
|
9, Poppy Close, Red Lodge, IP28 8FL
- |
31 Mar 2017 | £230,000 B | 36 m² 387 sqft | £6,388 £593 | Terrace (3 bed) | |||
|
10, Poppy Close, Red Lodge, IP28 8FL
- |
03 May 2016 | £280,000 | Detached (4 bed) | |||||
|
14, Poppy Close, Red Lodge, IP28 8FL
- |
17 Oct 2014 | £335,000 | Detached (6 bed) | |||||
|
7, Poppy Close, Red Lodge, IP28 8FL
- |
06 Dec 2013 | £200,000 | Terrace (3 bed) | |||||
| 8, Poppy Close, Red Lodge, IP28 8FL | 27 Jan 2012 | £184,950 | Terrace (3 bed) | |||||
|
1, Poppy Close, Red Lodge, IP28 8FL
- |
25 Nov 2011 | £300,000 | Detached (6 bed) | |||||
|
3, Poppy Close, Red Lodge, IP28 8FL
- |
16 Sep 2011 | £225,000 | Detached (4 bed) | |||||
|
6, Poppy Close, Red Lodge, IP28 8FL
- |
10 Dec 2010 | £130,000 | 57 m² 613 sqft | £2,280 £211 | Flat | |||
| 5, Poppy Close | £183,000
Jan-2024
|
51 548 | 3,588 333 | |||||
|
2, Poppy Close
- |
£380,000
Aug-2022
|
110 1184 | 3,454 320 | |||||
|
12, Poppy Close
- |
£336,000
Nov-2019
|
62 667 | 5,419 503 | |||||
|
9, Poppy Close
- |
£230,000
B
Mar-2017
|
36 387 | 6,388 593 | |||||
|
10, Poppy Close
- |
£280,000
May-2016
|
|||||||
|
14, Poppy Close
- |
£335,000
Oct-2014
|
|||||||
|
7, Poppy Close
- |
£200,000
Dec-2013
|
|||||||
| 8, Poppy Close | £184,950
Jan-2012
|
|||||||
|
1, Poppy Close
- |
£300,000
Nov-2011
|
|||||||
|
3, Poppy Close
- |
£225,000
Sep-2011
|
|||||||
|
6, Poppy Close
- |
£130,000
Dec-2010
|
57 613 | 2,280 211 |
The data above for Poppy Close can be visualised as a scatter graph, this will show price trends over time.