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|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
Flat 14 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP
- 
|
18 Aug 2023 | £1,125,000 | 134 m² 1442 sqft | £8,395 £779 | Flat (4 bed) | |||
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Flat 16 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP
-
|
02 Apr 2020 | £1,260,000 | 127 m² 1367 sqft | £9,921 £921 | Flat (4 bed) | |||
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Flat 18 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP
-
|
25 Nov 2016 | £1,350,000 | 121 m² 1302 sqft | £11,157 £1,036 | Flat (2 bed) | |||
|
Flat 10 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP
-
|
10 Feb 2004 | £440,000 | 112 m² 1205 sqft | £3,928 £364 | Flat (2 bed) | |||
|
Flat 12 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP
-
|
31 Oct 2002 | £492,500 | 102 m² 1097 sqft | £4,828 £448 | Flat (3 bed) | |||
| Flat 8 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP | 31 Jul 2002 | £495,000 | Flat | |||||
| Flat 8 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP | 05 Feb 1999 | £295,000 | Flat | |||||
| Flat 8 Ormonde Mansions, 106a, Southampton Row, Holborn, WC1B 4BP | 26 Jul 1996 | £194,000 | Flat | |||||
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Flat 14 Ormonde Mansions, 106a, Southampton Row
-
|
£1,125,000
Aug-2023
|
134 1442 | 8,395 779 | |||||
|
Flat 16 Ormonde Mansions, 106a, Southampton Row
-
|
£1,260,000
Apr-2020
|
127 1367 | 9,921 921 | |||||
|
Flat 18 Ormonde Mansions, 106a, Southampton Row
-
|
£1,350,000
Nov-2016
|
121 1302 | 11,157 1,036 | |||||
|
Flat 10 Ormonde Mansions, 106a, Southampton Row
-
|
£440,000
Feb-2004
|
112 1205 | 3,928 364 | |||||
|
Flat 12 Ormonde Mansions, 106a, Southampton Row
-
|
£492,500
Oct-2002
|
102 1097 | 4,828 448 | |||||
| Flat 8 Ormonde Mansions, 106a, Southampton Row | £495,000
Jul-2002
|
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| Flat 8 Ormonde Mansions, 106a, Southampton Row | £295,000
Feb-1999
|
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| Flat 8 Ormonde Mansions, 106a, Southampton Row | £194,000
Jul-1996
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The data above for Southampton Row can be visualised as a scatter graph, this will show price trends over time.