Most and least expensive streets

Wembley, ha9


Wembley, ha9 has a total of 244 streets. The most expensive street in ha9 is Fulton Road, with an average sale price of £27,500,000. The least expensive street in ha9 is Sylvia Court, with an average sale price of £189,650.



Filter by number of transactions

Most expensive streets

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

HA9 0FG | HA9 0GA | HA9 0GB | HA9 0GD | HA9 0NU | HA9 0TF | HA9 0XR
2 £27,500,000
2 Olympic Way

HA9 0DL | HA9 0FF | HA9 0FR | HA9 0NP
5 £18,672,272
3 First Way

HA9 0JD | HA9 0TU
3 £15,078,269
4 Lakeside Way

HA9 0BU | HA9 0FH | HA9 0FL | HA9 0FN
1 £9,000,000
5 Albion Way

HA9 0LP
3 £4,989,870
6 Watkin Road

HA9 0JX | HA9 0NL | HA9 0YF | HA9 0YG
2 £4,670,000
7 South Way

HA9 0HB | HA9 0HD | HA9 0HE | HA9 0HF | HA9 0HX
7 £4,316,958
8 Kingsway

HA9 7QP | HA9 7QR
6 £3,854,080
9 Park Lane

HA9 7RH | HA9 7RP | HA9 7RX | HA9 7RY | HA9 7RZ | HA9 7SB | HA9 7SD | HA9 7SF | HA9 7SG
8 £3,823,000
10 East Lane

HA9 7NA | HA9 7NB | HA9 7ND | HA9 7NE | HA9 7NF | HA9 7NG | HA9 7NL | HA9 7NN | HA9 7NQ | HA9 7NR | HA9 7NS | HA9 7NT | HA9 7NW | HA9 7PB | HA9 7PE | HA9 7PR | HA9 7PT | HA9 7PU | HA9 7RB | HA9 7RD | HA9 7RE | HA9 7RG | HA9 7UR | HA9 7XJ | HA9 7XX
8 £3,104,958


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Sylvia Court

HA9 6HS
4 £189,650
2 Lea Gardens

HA9 7SE
1 £202,000
3 Bowater Road

HA9 9FJ | HA9 9FL
3 £212,500
4 Aylands Close

HA9 8PJ
2 £224,500
5 Pempath Place

HA9 8QR | HA9 8QW
17 £225,623
6 Wilson Drive

HA9 9SN | HA9 9TX
2 £232,500
7 Windermere Court

HA9 8SJ | HA9 8SL | HA9 8SN | HA9 8SW
2 £237,250
8 The Broadway

HA9 8JT | HA9 8JU
4 £239,000
9 Loweswater Close

HA9 8UB | HA9 8UD | HA9 8UE | HA9 8UF
3 £242,000
10 St. Davids Close

HA9 9BT | HA9 9PA
3 £251,667


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.