|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
19, Wilson Marriage Road, Colchester, CO4 0DF
- 
|
28 Nov 2023 | £240,000 | 55 m² 592 sqft | £4,363 £405 | Terrace (2 bed) | |||
|
17, Wilson Marriage Road, Colchester, CO4 0DF
-
|
04 Apr 2018 | £180,000 B | 58 m² 624 sqft | £3,103 £288 | Terrace (2 bed) | |||
|
11, Wilson Marriage Road, Colchester, CO4 0DF
-
|
17 Feb 2017 | £187,500 | 65 m² 699 sqft | £2,884 £267 | Terrace (2 bed) | |||
|
15, Wilson Marriage Road, Colchester, CO4 0DF
-
|
10 Aug 2016 | £162,000 | 58 m² 624 sqft | £2,793 £259 | Terrace (3 bed) | |||
|
26, Wilson Marriage Road, Colchester, CO4 0DF
-
|
22 Jun 2012 | £140,000 | 99 m² 1065 sqft | £1,414 £131 | Terrace (4 bed) | |||
|
20, Wilson Marriage Road, Colchester, CO4 0DF
-
|
25 Mar 2011 | £118,000 | 58 m² 624 sqft | £2,034 £188 | Terrace (2 bed) | |||
|
49, Wilson Marriage Road, Colchester, CO4 0DF
-
|
10 Sep 2007 | £145,000 | 106 m² 1140 sqft | £1,367 £126 | Terrace (3 bed) | |||
|
35, Wilson Marriage Road, Colchester, CO4 0DF
-
|
08 Aug 2007 | £120,000 | Semi-D (3 bed) | |||||
|
47, Wilson Marriage Road, Colchester, CO4 0DF
-
|
09 Jun 2004 | £119,000 | 104 m² 1119 sqft | £1,144 £106 | Terrace (3 bed) | |||
|
19, Wilson Marriage Rd
-
|
£240,000
Nov-2023
|
55 592 | 4,363 405 | |||||
|
17, Wilson Marriage Rd
-
|
£180,000
B
Apr-2018
|
58 624 | 3,103 288 | |||||
|
11, Wilson Marriage Rd
-
|
£187,500
Feb-2017
|
65 699 | 2,884 267 | |||||
|
15, Wilson Marriage Rd
-
|
£162,000
Aug-2016
|
58 624 | 2,793 259 | |||||
|
26, Wilson Marriage Rd
-
|
£140,000
Jun-2012
|
99 1065 | 1,414 131 | |||||
|
20, Wilson Marriage Rd
-
|
£118,000
Mar-2011
|
58 624 | 2,034 188 | |||||
|
49, Wilson Marriage Rd
-
|
£145,000
Sep-2007
|
106 1140 | 1,367 126 | |||||
|
35, Wilson Marriage Rd
-
|
£120,000
Aug-2007
|
|||||||
|
47, Wilson Marriage Rd
-
|
£119,000
Jun-2004
|
104 1119 | 1,144 106 |
The data above for Wilson Marriage Road can be visualised as a scatter graph, this will show price trends over time.