Most and least expensive streets

Richmond, tw9


Richmond, tw9 has a total of 220 streets. The most expensive street in tw9 is Lower George Street, with an average sale price of £34,500,000. The least expensive street in tw9 is Twickenham Road, with an average sale price of £20,000.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Lower George Street

TW9 1AB | TW9 1HU
1 £34,500,000
2 Lower Richmond Road

TW9 4LE | TW9 4LJ | TW9 4LL | TW9 4LN | TW9 4LT | TW9 4LU | TW9 4LX | TW9 4NG | TW9 4NZ | TW9 4PL | TW9 4PN
47 £8,364,996
3 Parkshot

TW9 2RD | TW9 2RE | TW9 2RF | TW9 2RG | TW9 2RT
4 £7,000,270
4 The Green

TW9 1LX | TW9 1LY | TW9 1NH | TW9 1NQ | TW9 1PB | TW9 1PL | TW9 1PU | TW9 1PW | TW9 1PX | TW9 1QB | TW9 1QD | TW9 1QF | TW9 1QG | TW9 1QQ
11 £6,025,208
5 Kew Foot Road

TW9 2SS | TW9 2TA | TW9 2TE
9 £5,424,311
6 George Street

TW9 1HA | TW9 1HE | TW9 1HF | TW9 1HG | TW9 1HJ | TW9 1HY | TW9 1JS | TW9 1JW | TW9 1JY
17 £5,312,833
7 Branstone Road

TW9 3LB | TW9 3LD | TW9 3LE
1 £4,185,000
8 The Square

TW9 1DT | TW9 1DX | TW9 1DY | TW9 1DZ | TW9 1EA
3 £4,102,059
9 Spring Terrace

TW9 1LW
2 £3,950,000
10 Little Green

TW9 1QE | TW9 1QH | TW9 1QS | TW9 1QW
7 £3,688,854


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Twickenham Road

TW9 2SB | TW9 2SD | TW9 2SE | TW9 2SF | TW9 2SL | TW9 2SR
1 £20,000
2 Kew Bridge Arches

TW9 3AW
9 £158,967
3 Courtlands Avenue

TW9 4EP | TW9 4ES
9 £219,639
4 Eton Street

TW9 1AG | TW9 1EE
1 £250,000
5 Bridge Street

TW9 1TQ
2 £250,000
6 Brewers Lane

TW9 1HH
2 £264,250
7 Paved Court

TW9 1LZ
2 £275,250
8 Union Court

TW9 1AA
1 £315,000
9 Adelaide Road

TW9 1XR | TW9 1XW
3 £325,715
10 Garden Road

TW9 4NR
17 £377,718


Street ranking notes

Average street prices are calculated using all sales in the HM Land Registry data from the past 5 years. It is important to note that as homes are demolished and built these prices will fluctuate over time accordingly. Use the transactions number filter to avoid any anomalous data caused by low transaction numbers.