Most and least expensive streets

London, W3


London, W3 has a total of 310 streets. The most expensive street in W3 is Kendal Avenue, with an average sale price of £7,438,500. The least expensive street in W3 is Newport Road, with an average sale price of £106,250.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Kendal Avenue

W3 0AF | W3 0PA | W3 0RP | W3 0RU | W3 0XA
3 £7,438,500
2 Stirling Road

W3 8BG | W3 8DJ
3 £7,292,592
3 Dukes Road

W3 0SL
3 £4,503,333
4 Hoopers Mews

W3 6AJ
1 £4,243,374
5 High Street

W3 6LE | W3 6LG | W3 6LJ | W3 6LP | W3 6LX | W3 6LY | W3 6LZ | W3 6NA | W3 6ND | W3 6NE | W3 6NG | W3 6QX | W3 6QZ | W3 6RA | W3 6RE | W3 6RF | W3 9BH | W3 9BJ | W3 9BP | W3 9BT | W3 9BY | W3 9DD | W3 9DF | W3 9DG | W3 9DJ | W3 9DR | W3 9NH | W3 9NN | W3 9NX
35 £3,746,313
6 Centre Avenue

W3 7JX
1 £3,400,000
7 Victoria Road

W3 6AB | W3 6AD | W3 6AP | W3 6AQ | W3 6AR | W3 6BF | W3 6BT | W3 6BU | W3 6BW | W3 6BX | W3 6DD | W3 6DT | W3 6EJ | W3 6FA | W3 6FU | W3 6UL | W3 6UN | W3 6UP | W3 6UR | W3 6UU
63 £2,303,516
8 Stanway Gardens

W3 9ST
1 £2,300,000
9 Alliance Road

W3 0RA | W3 0RB
1 £2,200,000
10 Layer Gardens

W3 9PR
1 £2,200,000


Least expensive streets

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

W3 8RW | W3 8RY
1 £106,250
2 Swainson Road

W3 7UP | W3 7XB
2 £170,000
3 Vardon Close

W3 6YW
2 £187,500
4 Perry Avenue

W3 6YH | W3 6YQ
5 £226,742
5 Cheltenham Place

W3 8JD | W3 8JS | W3 8JT | W3 8UP | W3 8UR | W3 8UT
1 £235,000
6 Seacole Close

W3 6TE | W3 6TF
5 £245,892
7 Trinity Way

W3 7HR | W3 7HS | W3 7HT
6 £246,875
8 Winchester Street

W3 8PA | W3 8PF
6 £250,417
9 Clandon Close

W3 8RZ
1 £258,000
10 Beardsley Way

W3 7YQ
6 £266,917


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.