Most and least expensive streets

Grays, RM20


Grays, RM20 has a total of 62 streets. The most expensive street in RM20 is Oliver Road, with an average sale price of £55,922,588. The least expensive street in RM20 is Lakeside Retail Park, with an average sale price of £32,500.



Filter by number of transactions

Most expensive streets

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

RM20 3AA | RM20 3AL | RM20 3AS | RM20 3AU | RM20 3ED
1 £55,922,588
2 Eastern Avenue

RM20 3AD | RM20 3FH | RM20 3LW | RM20 3ZE
1 £21,125,000
3 Weston Avenue

RM20 3FJ | RM20 3FN | RM20 3FZ | RM20 3JQ | RM20 3LJ | RM20 3LP | RM20 3ZD | RM20 3ZP
5 £17,489,457
4 Oliver Close

RM20 3EE
3 £5,383,333
5 Baymanor Lane

RM20 3LL
1 £4,200,000
6 London Road

RM20 3AT | RM20 3BJ | RM20 3HD | RM20 3HL | RM20 3HX | RM20 3JT | RM20 3LD | RM20 3LG | RM20 3LH | RM20 3LU | RM20 3NL | RM20 4AA | RM20 4AB | RM20 4AD | RM20 4AR | RM20 4AU | RM20 4BE | RM20 4DB | RM20 4DH | RM20 4DN
82 £2,324,023
7 Sandy Lane

RM20 4BH
1 £1,250,000
8 Motherwell Way

RM20 3EH | RM20 3XD
2 £962,500
9 Fox Field Close

RM20 3AQ
2 £336,000
10 Palmerston Gardens

RM20 4YJ
2 £315,000


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Lakeside Retail Park

RM20 1WN
3 £32,500
2 Thurrock Lakeside Shopping Centre

RM20 2ZF | RM20 2ZG | RM20 2ZH | RM20 2ZJ | RM20 2ZL | RM20 2ZN | RM20 2ZP | RM20 2ZQ | RM20 2ZS | RM20 2ZW
4 £42,950
3 Porter Close

RM20 4AS
23 £128,369
4 Chapel Close

RM20 3JG
13 £171,423
5 Parsonage Road

RM20 4AG | RM20 4AJ | RM20 4AQ | RM20 4AW | RM20 4AX | RM20 4AY
64 £184,415
6 Charlton Street

RM20 4XU
10 £195,100
7 The Chase

RM20 4BF
15 £199,133
8 Elm Terrace

RM20 3BP
1 £200,000
9 Schoolfield Road

RM20 3AE | RM20 3AJ | RM20 3AN | RM20 3AP
33 £202,861
10 Oakley Close

RM20 4AN
10 £204,200


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.