Baylis Mews sold prices
Baylis Mews has only one postcode, TW1 3HQ. Price trends | Analysis of TW1 3
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
6, Baylis Mews, Twickenham, TW1 3HQ
- 
|
06 Jan 2025 | £395,000 | 56 m² 602 sqft | £7,053 £655 | Flat (1 bed) | |||
|
7, Baylis Mews, Twickenham, TW1 3HQ
-
|
20 Sep 2022 | £490,000 | 61 m² 656 sqft | £8,032 £746 | Flat (2 bed) | |||
|
8, Baylis Mews, Twickenham, TW1 3HQ
-
|
13 Oct 2011 | £655,000 | 77 m² 828 sqft | £8,506 £790 | Terrace (2 bed) | |||
|
9, Baylis Mews, Twickenham, TW1 3HQ
-
|
25 Feb 2011 | £460,000 | 91 m² 979 sqft | £5,054 £469 | Terrace (3 bed) | |||
|
4, Baylis Mews, Twickenham, TW1 3HQ
-
|
19 Feb 2010 | £245,000 | 58 m² 624 sqft | £4,224 £392 | Flat (1 bed) | |||
|
5, Baylis Mews, Twickenham, TW1 3HQ
-
|
05 Apr 2007 | £220,000 | 48 m² 516 sqft | £4,583 £425 | Flat (2 bed) | |||
| 12, Baylis Mews, Twickenham, TW1 3HQ | 28 Nov 2006 | £396,562 | Semi-D | |||||
|
11, Baylis Mews, Twickenham, TW1 3HQ
-
|
24 Oct 2006 | £440,000 | 105 m² 1130 sqft | £4,190 £389 | Terrace (3 bed) | |||
| 10, Baylis Mews, Twickenham, TW1 3HQ | 25 Feb 2002 | £325,000 | 91 m² 979 sqft | £3,571 £331 | Terrace (3 bed) | |||
| 12, Baylis Mews, Twickenham, TW1 3HQ | 05 Nov 2001 | £255,000 | Semi-D | |||||
|
6, Baylis Mews
-
|
£395,000
Jan-2025
|
56 602 | 7,053 655 | |||||
|
7, Baylis Mews
-
|
£490,000
Sep-2022
|
61 656 | 8,032 746 | |||||
|
8, Baylis Mews
-
|
£655,000
Oct-2011
|
77 828 | 8,506 790 | |||||
|
9, Baylis Mews
-
|
£460,000
Feb-2011
|
91 979 | 5,054 469 | |||||
|
4, Baylis Mews
-
|
£245,000
Feb-2010
|
58 624 | 4,224 392 | |||||
|
5, Baylis Mews
-
|
£220,000
Apr-2007
|
48 516 | 4,583 425 | |||||
| 12, Baylis Mews | £396,562
Nov-2006
|
|||||||
|
11, Baylis Mews
-
|
£440,000
Oct-2006
|
105 1130 | 4,190 389 | |||||
| 10, Baylis Mews | £325,000
Feb-2002
|
91 979 | 3,571 331 | |||||
| 12, Baylis Mews | £255,000
Nov-2001
|
The data above for Baylis Mews can be visualised as a scatter graph, this will show price trends over time.