LN4 4AX sold prices
Queen Street has only one postcode, LN4 4AX. Price trends | Analysis of LN4 4
|
|
Last sold | Price paid | Floor area (m²) Floor area (sq ft) | £ per m² £ per sq ft | Type | Sold | m² sq ft | £/m² £/sq ft |
|---|---|---|---|---|---|---|---|---|
| 10 - 12, Queen Street, Billinghay, LN4 4AX | 31 Aug 2023 | £90,000 B | 45 m² 484 sqft | £2,000 £185 | Other | |||
| 14 - 16, Queen Street, Billinghay, LN4 4AX | 30 Jun 2023 | £195,000 B | Other | |||||
| 2 - 4, Queen Street, Billinghay, LN4 4AX | 01 Jun 2022 | £50,000 B | Other | |||||
|
18, Queen Street, Billinghay, LN4 4AX
- |
19 Apr 2022 | £130,000 | 82 m² 882 sqft | £1,585 £147 | Terrace (2 bed) | |||
|
21, Queen Street, Billinghay, LN4 4AX
- |
10 Dec 2021 | £100,000 | 110 m² 1184 sqft | £909 £84 | Terrace (4 bed) | |||
|
23, Queen Street, Billinghay, LN4 4AX
- |
11 Jun 2021 | £68,000 | 46 m² 495 sqft | £1,478 £137 | Terrace | |||
|
19, Queen Street, Billinghay, LN4 4AX
- |
30 Apr 2021 | £85,000 | 83 m² 893 sqft | £1,024 £95 | Terrace (2 bed) | |||
| 14 - 16, Queen Street, Billinghay, LN4 4AX | 04 Jul 2016 | £142,000 | Terrace | |||||
| 7, Queen Street, Billinghay, LN4 4AX | 06 Feb 2015 | £65,000 | Terrace | |||||
|
8, Queen Street, Billinghay, LN4 4AX
- |
15 Dec 2011 | £70,000 | 127 m² 1367 sqft | £551 £51 | Semi-D (3 bed) | |||
| 7, Queen Street, Billinghay, LN4 4AX | 08 May 2007 | £42,500 | Semi-D | |||||
| 10 - 12, Queen St | £90,000
B
Aug-2023
|
45 484 | 2,000 185 | |||||
| 14 - 16, Queen St | £195,000
B
Jun-2023
|
|||||||
| 2 - 4, Queen St | £50,000
B
Jun-2022
|
|||||||
|
18, Queen St
- |
£130,000
Apr-2022
|
82 882 | 1,585 147 | |||||
|
21, Queen St
- |
£100,000
Dec-2021
|
110 1184 | 909 84 | |||||
|
23, Queen St
- |
£68,000
Jun-2021
|
46 495 | 1,478 137 | |||||
|
19, Queen St
- |
£85,000
Apr-2021
|
83 893 | 1,024 95 | |||||
| 14 - 16, Queen St | £142,000
Jul-2016
|
|||||||
| 7, Queen St | £65,000
Feb-2015
|
|||||||
|
8, Queen St
- |
£70,000
Dec-2011
|
127 1367 | 551 51 | |||||
| 7, Queen St | £42,500
May-2007
|
The data above for Queen Street can be visualised as a scatter graph, this will show price trends over time.