Most and least expensive streets

Rochdale, OL11


Rochdale, OL11 has a total of 698 streets. The most expensive street in OL11 is Lynroyle Way, with an average sale price of £11,159,617. The least expensive street in OL11 is Clara Street, with an average sale price of £700.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Lynroyle Way

OL11 3EX
1 £11,159,617
2 Silk Street

OL11 3ER | OL11 3EU | OL11 3EY
1 £9,000,000
3 Gorrells Way

OL11 2PX
3 £3,418,692
4 Springfield Park

OL11 4RE
1 £3,000,000
5 Crimble Lane

OL11 4AB | OL11 4AD
2 £1,088,807
6 Norman Road

OL11 4HP | OL11 4HS
5 £1,023,400
7 Lincoln Street

OL11 1AH | OL11 1LB | OL11 1NP | OL11 1NS
2 £957,500
8 Fenton Street

OL11 3TH
6 £892,500
9 Furbarn Road

OL11 5QR
2 £880,000
10 Manchester Road

OL11 2SP | OL11 2SR | OL11 2ST | OL11 2TL | OL11 2TR | OL11 2UB | OL11 2UY | OL11 2XG | OL11 2XH | OL11 2XJ | OL11 2XX | OL11 2XZ | OL11 3AA | OL11 3AD | OL11 3AE | OL11 3AF | OL11 3AH | OL11 3AQ | OL11 3AW | OL11 3EL | OL11 3EN | OL11 3HE | OL11 3HF | OL11 3JP | OL11 3PG | OL11 3PJ | OL11 3PQ | OL11 3PT | OL11 3QY | OL11 3RB | OL11 4HA | OL11 4HR | OL11 4HU | OL11 4HY | OL11 4JG | OL11 4JQ | OL11 4LL | OL11 4LX | OL11 4LZ | OL11 4NG | OL11 4NW | OL11 4PE | OL11 4QP | OL11 4QR
115 £707,082


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Clara Street

OL11 1PG
3 £700
2 Boundary Street

OL11 1AT | OL11 3TG | OL11 3UB
1 £2,360
3 Monmouth Street

OL11 3SZ
1 £6,450
4 Philip Street

OL11 1NL | OL11 1PJ
3 £24,813
5 Crowneast Street

OL11 5EX
2 £31,325
6 Thornbury

OL11 4LD
2 £35,975
7 Grove Street

OL11 3TW
1 £39,950
8 Ulster Avenue

OL11 3RG
1 £39,950
9 Corporation Road

OL11 4EU | OL11 4HJ
2 £40,500
10 Chaucer Street

OL11 2QG
3 £44,683


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.