Most and least expensive streets

Ashtead, KT21


Ashtead, KT21 has a total of 175 streets. The most expensive street in KT21 is Grays Lane, with an average sale price of £1,837,500. The least expensive street in KT21 is Howard Close, with an average sale price of £163,750.



Filter by number of transactions

Most expensive streets

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

KT21 1BS | KT21 1BU | KT21 1BZ
4 £1,837,500
2 The Warren

KT21 2RX | KT21 2RY | KT21 2SA | KT21 2SB | KT21 2SE | KT21 2SG | KT21 2SH | KT21 2SL | KT21 2SN | KT21 2SP
7 £1,654,292
3 Rookery Hill

KT21 1EG | KT21 1HY | KT21 1JA
2 £1,507,500
4 Oakfield Road

KT21 2RB | KT21 2RD | KT21 2RE
11 £1,500,905
5 Ralliwood Road

KT21 1DD | KT21 1DE
10 £1,422,292
6 Greville Park Avenue

KT21 2QS
3 £1,409,167
7 Ashtead Woods Road

KT21 2EJ | KT21 2EN | KT21 2EP | KT21 2EQ | KT21 2ER | KT21 2ET | KT21 2EX | KT21 2EZ
6 £1,290,777
8 Chalk Lane

KT21 1DH | KT21 1DJ
3 £1,198,750
9 Oaken Coppice

KT21 1DL
2 £1,186,000
10 Dene Road

KT21 1EA | KT21 1EB | KT21 1ED | KT21 1EE
2 £1,162,500


Least expensive streets

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

KT21 1DP | KT21 1DR | KT21 1DS | KT21 1DT | KT21 1DU | KT21 1DX | KT21 1DY
5 £163,750
2 Craddocks Parade

KT21 1QJ | KT21 1QL
5 £170,625
3 Brookers Close

KT21 2JS | KT21 2JT | KT21 2JU
9 £234,432
4 Blacksmith Close

KT21 2BD
4 £260,625
5 Broadmead

KT21 1RT
13 £267,296
6 Elliston Way

KT21 2FD | KT21 2FF | KT21 2FG | KT21 2FH
20 £274,639
7 Darcy Place

KT21 1SN
1 £280,000
8 The Street

KT21 1AA | KT21 1AL | KT21 1AT | KT21 1AW | KT21 1AZ | KT21 1RG | KT21 2AD | KT21 2AF | KT21 2AG | KT21 2AH | KT21 2AQ | KT21 2BN
52 £294,814
9 Moat Court

KT21 2BL
10 £321,650
10 Woodfield Close

KT21 2RT | KT21 2RU | KT21 2RW
15 £338,538


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.