Advanced search

RG10 9RB sold prices

Kingsley Close has only one postcode, RG10 9RB.
Price trends | Analysis of RG10 9

Last sold Price paid Floor area (m²) Floor area (sq ft) £ per m² £ per sq ft Type Sold sq ft £/m² £/sq ft
14, Kingsley Close, Charvil, RG10 9RB - photos available 13 Jan 2023 £410,000 81 871 sqft £5,061 £470 Terrace (3 bed)
10, Kingsley Close, Charvil, RG10 9RB - photos available 18 Aug 2022 £415,000 83 893 sqft £5,000 £464 Terrace (2 bed)
17, Kingsley Close, Charvil, RG10 9RB - photos available 11 Sep 2020 £310,000 80 861 sqft £3,875 £359 Terrace (3 bed)
11, Kingsley Close, Charvil, RG10 9RB - photos available 14 Aug 2020 £420,000 83 893 sqft £5,060 £470 Terrace (2 bed)
20, Kingsley Close, Charvil, RG10 9RB - photos available 28 Feb 2020 £380,000 81 871 sqft £4,691 £435 Terrace (3 bed)
12, Kingsley Close, Charvil, RG10 9RB - photos available 31 Mar 2017 £363,500 86 925 sqft £4,226 £392 Terrace (2 bed)
8, Kingsley Close, Charvil, RG10 9RB - photos available 10 Aug 2011 £218,000 86 925 sqft £2,534 £235 Terrace (3 bed)
19, Kingsley Close, Charvil, RG10 9RB - photos available 21 Dec 2009 £215,000 93 1001 sqft £2,311 £214 Terrace (3 bed)
13, Kingsley Close, Charvil, RG10 9RB - photos available 01 Aug 2006 £200,000 Terrace (3 bed)
18, Kingsley Close, Charvil, RG10 9RB 14 Jul 1995 £53,000 Terrace (3 bed)
14, Kingsley Close - photos available £410,000
Jan-2023
81 871 5,061 470
10, Kingsley Close - photos available £415,000
Aug-2022
83 893 5,000 464
17, Kingsley Close - photos available £310,000
Sep-2020
80 861 3,875 359
11, Kingsley Close - photos available £420,000
Aug-2020
83 893 5,060 470
20, Kingsley Close - photos available £380,000
Feb-2020
81 871 4,691 435
12, Kingsley Close - photos available £363,500
Mar-2017
86 925 4,226 392
8, Kingsley Close - photos available £218,000
Aug-2011
86 925 2,534 235
19, Kingsley Close - photos available £215,000
Dec-2009
93 1001 2,311 214
13, Kingsley Close - photos available £200,000
Aug-2006
18, Kingsley Close £53,000
Jul-1995

The data above for Kingsley Close can be visualised as a scatter graph, this will show price trends over time.