Rosemary Road sold prices
Rosemary Road includes CO15 1TE , CO15 1TG , CO15 1TZ . Price trends | Analysis of CO15 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 |
|---|---|---|---|---|---|---|---|---|
| 62, Rosemary Road, Clacton-On-Sea, CO15 1TE | 28 Mar 2025 | £242,000 B | Flat | |||||
| 69, Rosemary Road, Clacton-On-Sea, CO15 1TE | 21 Sep 2023 | £210,000 B | Other | |||||
| 72 - 78, Rosemary Road, Clacton-On-Sea, CO15 1TZ | 04 Sep 2018 | £755,000 B | Other | |||||
| 80f, Rosemary Road, Clacton-On-Sea, CO15 1TG | 28 Jun 2018 | £55,000 B | 114 m² 1227 sqft | £482 £44 | Flat (2 bed) | |||
| 70, Rosemary Road, Clacton-On-Sea, CO15 1TE | 17 Jul 2017 | £82,000 B | Flat | |||||
| 69, Rosemary Road, Clacton-On-Sea, CO15 1TE | 28 Mar 2017 | £260,000 B | Other | |||||
| The Carlton, Rosemary Road, Clacton-On-Sea, CO15 1TE | 26 Nov 2015 | £212,400 B | Other | |||||
| 62, Rosemary Road, Clacton-On-Sea, CO15 1TE | 11 May 2007 | £270,000 | Flat | |||||
| 80d, Rosemary Road, Clacton-On-Sea, CO15 1TG | 23 Sep 2005 | £260,000 | Semi-D | |||||
| 66 - 68, Rosemary Road, Clacton-On-Sea, CO15 1TE | 17 Feb 2005 | £176,187 | Flat | |||||
| 64, Rosemary Road, Clacton-On-Sea, CO15 1TE | 12 Sep 2003 | £100,000 | Terrace | |||||
| 59, Rosemary Road, Clacton-On-Sea, CO15 1TE | 25 May 2000 | £12,500 | Terrace | |||||
| 62, Rosemary Rd | £242,000
B
Mar-2025
|
|||||||
| 69, Rosemary Rd | £210,000
B
Sep-2023
|
|||||||
| 72 - 78, Rosemary Rd | £755,000
B
Sep-2018
|
|||||||
| 80f, Rosemary Rd | £55,000
B
Jun-2018
|
114 1227 | 482 44 | |||||
| 70, Rosemary Rd | £82,000
B
Jul-2017
|
|||||||
| 69, Rosemary Rd | £260,000
B
Mar-2017
|
|||||||
| The Carlton, Rosemary Rd | £212,400
B
Nov-2015
|
|||||||
| 62, Rosemary Rd | £270,000
May-2007
|
|||||||
| 80d, Rosemary Rd | £260,000
Sep-2005
|
|||||||
| 66 - 68, Rosemary Rd | £176,187
Feb-2005
|
|||||||
| 64, Rosemary Rd | £100,000
Sep-2003
|
|||||||
| 59, Rosemary Rd | £12,500
May-2000
|
The data above for Rosemary Road can be visualised as a scatter graph, this will show price trends over time.