L14 1PT sold prices
Lexham Road includes L14 1PT , L14 1PU . Price trends | Analysis of L14 1
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
| Highfield Tenants Residents Association, Lexham Road, Liverpool, L14 1PT | 21 Jul 2025 | £120,000 B | Other | |||||
|
43, Lexham Road, Liverpool, L14 1PT
- |
10 Mar 2025 | £187,500 | 84 m² 904 sqft | £2,232 £207 | Semi-D (3 bed) | |||
| Highfield Tenants Residents Association, Lexham Road, Liverpool, L14 1PT | 21 May 2021 | £115,000 B | Other | |||||
|
21, Lexham Road, Liverpool, L14 1PT
- |
26 Jul 2019 | £140,000 | 84 m² 904 sqft | £1,666 £154 | Terrace (3 bed) | |||
|
47, Lexham Road, Liverpool, L14 1PT
- |
26 Oct 2016 | £105,000 | 88 m² 947 sqft | £1,193 £110 | Semi-D (3 bed) | |||
|
17, Lexham Road, Liverpool, L14 1PT
- |
15 Jul 2016 | £108,500 | 99 m² 1065 sqft | £1,095 £101 | Terrace (3 bed) | |||
| 27, Lexham Road, Liverpool, L14 1PT | 01 Sep 2015 | £110,000 | Terrace (3 bed) | |||||
| Highfield Tenants Residents Association, Lexham Road, Liverpool, L14 1PT | 11 Oct 2013 | £50,000 B | Other | |||||
|
35, Lexham Road, Liverpool, L14 1PT
- |
25 Sep 2009 | £112,000 | Semi-D (3 bed) | |||||
| 41, Lexham Road, Liverpool, L14 1PT | 31 Jan 2003 | £73,000 | Semi-D (3 bed) | |||||
| Highfield Tenants Residents Association, Lexham Rd | £120,000
B
Jul-2025
|
|||||||
|
43, Lexham Rd
- |
£187,500
Mar-2025
|
84 904 | 2,232 207 | |||||
| Highfield Tenants Residents Association, Lexham Rd | £115,000
B
May-2021
|
|||||||
|
21, Lexham Rd
- |
£140,000
Jul-2019
|
84 904 | 1,666 154 | |||||
|
47, Lexham Rd
- |
£105,000
Oct-2016
|
88 947 | 1,193 110 | |||||
|
17, Lexham Rd
- |
£108,500
Jul-2016
|
99 1065 | 1,095 101 | |||||
| 27, Lexham Rd | £110,000
Sep-2015
|
|||||||
| Highfield Tenants Residents Association, Lexham Rd | £50,000
B
Oct-2013
|
|||||||
|
35, Lexham Rd
- |
£112,000
Sep-2009
|
|||||||
| 41, Lexham Rd | £73,000
Jan-2003
|
The data above for Lexham Road can be visualised as a scatter graph, this will show price trends over time.