Most and least expensive streets

Scarborough, YO11


Scarborough, YO11 has a total of 368 streets. The most expensive street in YO11 is St. Nicholas Cliff, with an average sale price of £7,056,750. The least expensive street in YO11 is St. Helens Square, with an average sale price of £3,000.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 St. Nicholas Cliff

YO11 2ER | YO11 2ES | YO11 2ET | YO11 2EU
8 £7,056,750
2 Wareham Road

YO11 3DX | YO11 3UW
1 £1,339,975
3 Cliff Bridge Terrace

YO11 2HA
2 £1,120,000
4 Hopper Hill Road

YO11 3YJ | YO11 3YS
1 £1,050,000
5 Killerby

YO11 3TW
1 £1,010,000
6 Market Lane

YO11 3YN
1 £700,000
7 Westborough

YO11 1JW | YO11 1LD | YO11 1LN | YO11 1LP | YO11 1LU | YO11 1TN | YO11 1TP | YO11 1TR | YO11 1TS | YO11 1TU | YO11 1UH | YO11 1UN | YO11 1UQ | YO11 1UT | YO11 1UU | YO11 1UY | YO11 1YJ
16 £634,464
8 Weaponness Drive

YO11 2TZ
2 £502,500
9 Filey Road

YO11 2SD | YO11 2SE | YO11 2SF | YO11 2SG | YO11 2TJ | YO11 2TL | YO11 2TP | YO11 2TS | YO11 2TT | YO11 2TU | YO11 2TX | YO11 2YQ | YO11 3AA | YO11 3AE | YO11 3AF | YO11 3AG | YO11 3AQ | YO11 3AY | YO11 3AZ | YO11 3BA | YO11 3JG | YO11 3JH | YO11 3JQ | YO11 3NH | YO11 3NP | YO11 3UF
134 £453,499
10 Sandside

YO11 1PE | YO11 1PG | YO11 1PP | YO11 1PQ
5 £409,583


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 St. Helens Square

YO11 1EU
1 £3,000
2 Cromwell Parade

YO11 2DP
5 £30,970
3 Knox Lane

YO11 2BD
1 £36,750
4 Lingholme Lane

YO11 3PG
1 £49,000
5 Cliff Bridge Place

YO11 2EZ
8 £51,249
6 Friargate

YO11 1HS
1 £52,500
7 Glebe Close

YO11 3AU
1 £55,000
8 Crown Crescent

YO11 2BJ
6 £57,125
9 Back South Street

YO11 2BN
2 £62,250
10 Hanover Road

YO11 1LS
1 £65,000


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.