Most and least expensive streets

Bristol, BS11


Bristol, BS11 has a total of 231 streets. The most expensive street in BS11 is Access 18, with an average sale price of £3,501,291. The least expensive street in BS11 is Barracks Lane, with an average sale price of £98,500.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Access 18

BS11 8HT
3 £3,501,291
2 Bristow Broadway

BS11 9FB
1 £3,000,000
3 Fifth Way

BS11 8DT
1 £2,900,000
4 St. Andrews Road

BS11 9AG | BS11 9BY | BS11 9DQ | BS11 9EB | BS11 9ES | BS11 9ET | BS11 9EU | BS11 9FP | BS11 9HP | BS11 9HQ | BS11 9HS | BS11 9HW | BS11 9HZ | BS11 9YQ
12 £2,323,735
5 Victoria Road

BS11 9DB
7 £2,185,429
6 Fourth Way

BS11 8DL | BS11 8DP | BS11 8DW | BS11 8DX | BS11 8TB
2 £1,975,000
7 Packgate Road

BS11 0FD
1 £1,680,000
8 Third Way

BS11 9HL | BS11 9TP | BS11 9YE | BS11 9YH | BS11 9YL | BS11 9YP | BS11 9YS | BS11 9ZG
3 £1,650,000
9 Kings Weston Lane

BS11 0JE | BS11 0LF | BS11 0LU | BS11 0LX | BS11 0QP | BS11 0QT | BS11 0UR | BS11 0US | BS11 0YS | BS11 8AS | BS11 8AZ | BS11 9FG
16 £1,111,033
10 Ironchurch Road

BS11 9AF
1 £942,500


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Barracks Lane

BS11 9NF | BS11 9NG
1 £98,500
2 Tide Grove

BS11 0PA
1 £130,000
3 Clayton Street

BS11 9AH | BS11 9DX
8 £130,688
4 Penpole Close

BS11 0AT
1 £142,000
5 Meadow Street

BS11 9AR | BS11 9AS
10 £143,771
6 De Clifford Road

BS11 0HW | BS11 0RR | BS11 0UB | BS11 0UD | BS11 0WG
6 £145,063
7 Maiden Way

BS11 9PA
1 £148,000
8 Goldsbury Walk

BS11 0PE
1 £150,000
9 Capel Road

BS11 0RD | BS11 0RE
1 £150,000
10 Broadlands Drive

BS11 0AF | BS11 0GG | BS11 0PB | BS11 0PD | BS11 0PF | BS11 0PG | BS11 0PH | BS11 0PL | BS11 0PN | BS11 0PW | BS11 0PY
7 £151,367


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.