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Most and least expensive streets

New Malden, KT3

New Malden, KT3 has a total of 270 streets. The most expensive street in KT3 is Dickerage Lane, with an average sale price of £13,250,000. The least expensive street in KT3 is Wickham Close, with an average sale price of £65,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Dickerage Lane KT3 3RZ \| KT3 3SA \| KT3 3SB \| KT3 3SD \| KT3 3SF \| KT3 3SG	2	£13,250,000
2	Leigh Close KT3 3NW	1	£11,000,000
3	Beverley Way KT3 4PB \| KT3 4PH \| KT3 4PJ \| KT3 4PT \| KT3 4PU	2	£7,007,500
4	Neville Avenue KT3 4SN	4	£2,287,500
5	Crown Road KT3 3UW	1	£2,260,000
6	Kingston Road KT3 3BF \| KT3 3JG \| KT3 3LR \| KT3 3LS \| KT3 3LU \| KT3 3LX \| KT3 3LY \| KT3 3LZ \| KT3 3NA \| KT3 3NB \| KT3 3ND \| KT3 3NN \| KT3 3NS \| KT3 3NT \| KT3 3NU \| KT3 3NX \| KT3 3PA \| KT3 3PB \| KT3 3PE \| KT3 3PN \| KT3 3PP \| KT3 3PR \| KT3 3PW \| KT3 3RD \| KT3 3RJ \| KT3 3RN \| KT3 3RX \| KT3 3RY \| KT3 3SN \| KT3 3SS \| KT3 3ST \| KT3 3SW \| KT3 3SX \| KT3 3SY	71	£1,941,759
7	Burghley Avenue KT3 4SW	3	£1,916,667
8	Traps Lane KT3 4RR \| KT3 4RS \| KT3 4RT \| KT3 4RU \| KT3 4RY \| KT3 4SA \| KT3 4SE \| KT3 4SG \| KT3 4SQ \| KT3 4SR	7	£1,771,218
9	The Fairway KT3 4SP	2	£1,712,500
10	Blagdon Road KT3 4AD \| KT3 4AE \| KT3 4AF \| KT3 4AH \| KT3 4AL \| KT3 4AN \| KT3 4BD	22	£1,450,545

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Wickham Close KT3 6AN	1	£65,000
2	Apsley Road KT3 3NJ	4	£174,500
3	Gooding Close KT3 5DH \| KT3 5DQ	7	£212,350
4	Barnard Gardens KT3 6QG	12	£244,833
5	Sherfield Close KT3 3RG \| KT3 3TD \| KT3 3TH	4	£261,250
6	Georgia Road KT3 3QX	10	£269,350
7	Caro Place KT3 4AJ	3	£279,167
8	Dorchester Mews KT3 3JD	1	£281,000
9	Cheltenham Close KT3 3EY	4	£291,000
10	Rodney Close KT3 5AA \| KT3 5TA \| KT3 5TB	5	£297,700

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.