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Most and least expensive streets

Weybridge, KT13

Weybridge, KT13 has a total of 323 streets. The most expensive street in KT13 is Brooklands, with an average sale price of £71,537,444. The least expensive street in KT13 is Railton Close, with an average sale price of £140,101.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Brooklands KT13 0NY \| KT13 0XP \| KT13 0XW	3	£71,537,444
2	Brooklands Business Park KT13 0NT \| KT13 0UJ \| KT13 0XQ \| KT13 0YF \| KT13 0YP \| KT13 0YX \| KT13 0YZ	10	£9,801,115
3	Linden Road KT13 0QW	2	£7,250,000
4	South Ridge KT13 0NF	2	£7,125,000
5	Golf Club Road KT13 0NJ \| KT13 0NL \| KT13 0NN	2	£5,875,000
6	Brooks Close KT13 0LX	3	£5,766,667
7	East Road KT13 0LB \| KT13 0LD \| KT13 0LE \| KT13 0LF \| KT13 0LG	11	£4,809,609
8	Yaffle Road KT13 0QF	6	£4,417,500
9	High Street KT13 8AB \| KT13 8AX \| KT13 8BA \| KT13 8BB \| KT13 8BL \| KT13 8BQ \| KT13 8ED \| KT13 8UA	17	£4,347,141
10	Old Avenue KT13 0LS \| KT13 0PE \| KT13 0PG \| KT13 0PH \| KT13 0PQ \| KT13 0PS \| KT13 0PX \| KT13 0PY \| KT13 0PZ \| KT13 0QA \| KT13 0QB \| KT13 0QD \| KT13 0QE \| KT13 0QP	29	£4,273,787

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Railton Close KT13 0GE \| KT13 0GF	10	£140,101
2	Gateway KT13 8NT \| KT13 8NW	5	£213,990
3	Manor Court KT13 8RF \| KT13 8RG \| KT13 8RQ	9	£236,792
4	Vickers Drive North KT13 0YU	1	£240,000
5	Layton Court KT13 9AD	4	£242,500
6	Summers Close KT13 0RX	3	£246,833
7	Grenside Road KT13 8PY \| KT13 8PZ \| KT13 8QB	2	£263,975
8	Locke King Close KT13 0TA	1	£269,950
9	Monument Hill KT13 8QU \| KT13 8RB \| KT13 8RD \| KT13 8RH \| KT13 8RN \| KT13 8RR \| KT13 8RT \| KT13 8RW \| KT13 8RX \| KT13 8RY	31	£271,652
10	Old Palace Road KT13 8NP \| KT13 8NR \| KT13 8PH \| KT13 8PQ	5	£282,666

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.