Sold prices in RM18 For sale in RM18 To rent in RM18

Most and least expensive streets

Tilbury, RM18

Tilbury, RM18 has a total of 169 streets. The most expensive street in RM18 is Northview Avenue, with an average sale price of £1,471,000. The least expensive street in RM18 is Dunlop Close, with an average sale price of £117,500.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Northview Avenue RM18 7RT	4	£1,471,000
2	Thurrock Park Way RM18 7HD \| RM18 7HG \| RM18 7HH \| RM18 7HJ \| RM18 7HQ \| RM18 7HW \| RM18 7HZ	17	£976,125
3	Princess Margaret Road RM18 8NX \| RM18 8PA \| RM18 8PB \| RM18 8PD \| RM18 8PH \| RM18 8PL \| RM18 8PN \| RM18 8PP \| RM18 8PU \| RM18 8PX \| RM18 8QD \| RM18 8QH \| RM18 8RH \| RM18 8RJ \| RM18 8RP \| RM18 8SB \| RM18 8YP \| RM18 8YR	49	£517,689
4	The Green RM18 8TU \| RM18 8TX	4	£411,000
5	Montreal Road RM18 7QX \| RM18 8XU	2	£374,500
6	Station Road RM18 8QP \| RM18 8QR	2	£357,500
7	Sandpiper Close RM18 8FA	28	£336,589
8	Clyde RM18 8RY	3	£335,333
9	Melbourne Road RM18 7AB \| RM18 7AZ	6	£326,500
10	Turnstone Close RM18 8FG	35	£323,157

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Dunlop Close RM18 7BQ	1	£117,500
2	Civic Square RM18 8AA \| RM18 8AD	3	£125,667
3	Dock Road RM18 7BJ \| RM18 7BL \| RM18 7BN \| RM18 7BS \| RM18 7BT \| RM18 7BX \| RM18 7BY \| RM18 7BZ \| RM18 7DB \| RM18 7DG \| RM18 7DQ \| RM18 7DW \| RM18 7PP \| RM18 7PT \| RM18 8YD	165	£132,938
4	Colne Court RM18 8RE	7	£133,143
5	Broadway RM18 7BP	4	£145,125
6	Lansdowne Road RM18 7AA \| RM18 7QB	5	£148,000
7	Kensington Gardens RM18 8SR	2	£160,000
8	Burns Place RM18 8JQ	25	£181,300
9	Thackeray Avenue RM18 8HR \| RM18 8HS \| RM18 8HT \| RM18 8HU	17	£184,764
10	Hume Avenue RM18 8DX	1	£195,000

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.