CM4 9DZ sold prices
Stock Lane includes CM4 9DX , CM4 9DZ . Price trends | Analysis of CM4 9
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
|
69, Stock Lane, Ingatestone, CM4 9DZ
- |
11 Mar 2025 | £465,000 | 70 m² 753 sqft | £6,642 £617 | Semi-D (2 bed) | |||
|
71, Stock Lane, Ingatestone, CM4 9DZ
- |
10 Sep 2021 | £644,000 | 136 m² 1463 sqft | £4,735 £439 | Semi-D (4 bed) | |||
|
65, Stock Lane, Ingatestone, CM4 9DZ
- |
05 Jan 2021 | £580,000 | 139 m² 1496 sqft | £4,172 £387 | Semi-D (5 bed) | |||
|
20, Stock Lane, Ingatestone, CM4 9DZ
- |
07 Feb 2020 | £600,000 | 114 m² 1227 sqft | £5,263 £488 | Detached (4 bed) | |||
| 22, Stock Lane, Ingatestone, CM4 9DZ | 25 Nov 2016 | £540,000 | 92 m² 990 sqft | £5,869 £545 | Semi-D (5 bed) | |||
| Holly Cottage, 30, Stock Lane, Ingatestone, CM4 9DZ | 14 Nov 2011 | £332,500 | 67 m² 721 sqft | £4,962 £460 | Semi-D (2 bed) | |||
| 32, Stock Lane, Ingatestone, CM4 9DZ | 09 Apr 1998 | £110,000 | Semi-D (5 bed) | |||||
| 28, Stock Lane, Ingatestone, CM4 9DZ | 28 Oct 1996 | £115,000 | Detached (4 bed) | |||||
| 28a, Stock Lane, Ingatestone, CM4 9DZ | 21 Jun 1996 | £115,000 | Semi-D (3 bed) | |||||
| 63, Stock Lane, Ingatestone, CM4 9DZ | 09 Jan 1995 | £110,000 | 134 m² 1442 sqft | £820 £76 | Detached (3 bed) | |||
|
69, Stock Lane
- |
£465,000
Mar-2025
|
70 753 | 6,642 617 | |||||
|
71, Stock Lane
- |
£644,000
Sep-2021
|
136 1463 | 4,735 439 | |||||
|
65, Stock Lane
- |
£580,000
Jan-2021
|
139 1496 | 4,172 387 | |||||
|
20, Stock Lane
- |
£600,000
Feb-2020
|
114 1227 | 5,263 488 | |||||
| 22, Stock Lane | £540,000
Nov-2016
|
92 990 | 5,869 545 | |||||
| Holly Cottage, 30, Stock Lane | £332,500
Nov-2011
|
67 721 | 4,962 460 | |||||
| 32, Stock Lane | £110,000
Apr-1998
|
|||||||
| 28, Stock Lane | £115,000
Oct-1996
|
|||||||
| 28a, Stock Lane | £115,000
Jun-1996
|
|||||||
| 63, Stock Lane | £110,000
Jan-1995
|
134 1442 | 820 76 |
The data above for Stock Lane can be visualised as a scatter graph, this will show price trends over time.