Most and least expensive streets

Sunbury-on-thames, TW16


Sunbury-on-thames, TW16 has a total of 209 streets. The most expensive street in TW16 is Hanworth Road, with an average sale price of £9,224,165. The least expensive street in TW16 is Fisk Close, with an average sale price of £130,000.



Filter by number of transactions

Most expensive streets

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

TW16 5DA | TW16 5DB | TW16 5DJ | TW16 5LN
3 £9,224,165
2 Station Road

TW16 6SB
3 £4,255,000
3 Brooklands Close

TW16 7DX | TW16 7DY | TW16 7EB | TW16 7EH | TW16 7EP | TW16 7FD
3 £2,147,885
4 Woodlands Drive

TW16 5JS
1 £1,285,000
5 Manor Drive

TW16 6PB
4 £1,181,750
6 Fordbridge Road

TW16 6AH | TW16 6AL | TW16 6AN | TW16 6AP | TW16 6AR | TW16 6AS | TW16 6AT | TW16 6AU | TW16 6AW | TW16 6AX | TW16 6AZ
8 £1,165,000
7 Green Street

TW16 6PZ | TW16 6QA | TW16 6QB | TW16 6QE | TW16 6QG | TW16 6QH | TW16 6QJ | TW16 6QL | TW16 6QQ | TW16 6QS | TW16 6QX | TW16 6RA | TW16 6RD | TW16 6RE | TW16 6RH | TW16 6RN | TW16 6RR | TW16 6RW | TW16 6SR
32 £1,132,457
8 Church Street

TW16 6RG | TW16 6RQ
3 £999,988
9 Darby Gardens

TW16 5JW
2 £985,000
10 Roper Crescent

TW16 5BA
51 £973,637


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Fisk Close

TW16 7PY
3 £130,000
2 Priory Close

TW16 5AB
5 £185,700
3 Shears Court

TW16 7NF
2 £224,500
4 Spelthorne Grove

TW16 7BY | TW16 7BZ | TW16 7DA | TW16 7DB | TW16 7DD | TW16 7FA
13 £232,954
5 Downside

TW16 6RT | TW16 6RX
1 £235,000
6 Sunbury Court Mews

TW16 5PF
2 £237,500
7 Lime Crescent

TW16 5NT
4 £240,000
8 International Way

TW16 7HP | TW16 7HQ | TW16 7HR | TW16 7HS
63 £254,810
9 Camilla Close

TW16 7PZ
4 £258,000
10 Benwell Court

TW16 6RU
6 £258,667


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.