Barley Close sold prices
Barley Close has only one postcode, GL51 0QP. Price trends | Analysis of GL51 0
|
|
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, Barley Close, Cheltenham, GL51 0QP
- |
25 Jun 2025 | £250,000 | 68 m² 731 sqft | £3,676 £341 | Semi-D (3 bed) | |||
|
30, Barley Close, Cheltenham, GL51 0QP
- |
11 Apr 2024 | £252,000 | 77 m² 828 sqft | £3,272 £303 | Terrace (3 bed) | |||
|
3, Barley Close, Cheltenham, GL51 0QP
- |
05 Aug 2022 | £250,000 | 68 m² 731 sqft | £3,676 £341 | Semi-D (3 bed) | |||
|
20, Barley Close, Cheltenham, GL51 0QP
- |
25 Jun 2019 | £190,000 | 73 m² 785 sqft | £2,602 £241 | Semi-D (3 bed) | |||
|
9, Barley Close, Cheltenham, GL51 0QP
- |
18 Aug 2017 | £180,000 | 73 m² 785 sqft | £2,465 £229 | Semi-D (3 bed) | |||
|
21, Barley Close, Cheltenham, GL51 0QP
- |
31 Jul 2014 | £149,000 | 67 m² 721 sqft | £2,223 £206 | Semi-D (3 bed) | |||
| 7, Barley Close, Cheltenham, GL51 0QP | 29 Sep 2006 | £134,999 | Semi-D (3 bed) | |||||
|
10, Barley Close, Cheltenham, GL51 0QP
- |
04 Aug 2006 | £128,500 | Terrace (3 bed) | |||||
| 19, Barley Close, Cheltenham, GL51 0QP | 19 Sep 2003 | £109,950 | 67 m² 721 sqft | £1,641 £152 | Semi-D (3 bed) | |||
| 28, Barley Close, Cheltenham, GL51 0QP | 26 Apr 2002 | £72,000 | Terrace (3 bed) | |||||
|
5, Barley Close
- |
£250,000
Jun-2025
|
68 731 | 3,676 341 | |||||
|
30, Barley Close
- |
£252,000
Apr-2024
|
77 828 | 3,272 303 | |||||
|
3, Barley Close
- |
£250,000
Aug-2022
|
68 731 | 3,676 341 | |||||
|
20, Barley Close
- |
£190,000
Jun-2019
|
73 785 | 2,602 241 | |||||
|
9, Barley Close
- |
£180,000
Aug-2017
|
73 785 | 2,465 229 | |||||
|
21, Barley Close
- |
£149,000
Jul-2014
|
67 721 | 2,223 206 | |||||
| 7, Barley Close | £134,999
Sep-2006
|
|||||||
|
10, Barley Close
- |
£128,500
Aug-2006
|
|||||||
| 19, Barley Close | £109,950
Sep-2003
|
67 721 | 1,641 152 | |||||
| 28, Barley Close | £72,000
Apr-2002
|
The data above for Barley Close can be visualised as a scatter graph, this will show price trends over time.