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Most and least expensive streets

London, n15

London, n15 has a total of 233 streets. The most expensive street in n15 is Winns Mews, with an average sale price of £5,775,000. The least expensive street in n15 is Fountayne Road, with an average sale price of £3,146.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Winns Mews N15 4FF	2	£5,775,000
2	Lawrence Road N15 4EB \| N15 4EF \| N15 4EG \| N15 4EJ \| N15 4EN \| N15 4ER \| N15 4EY \| N15 4FX	13	£4,955,365
3	Norman Road N15 4ND	1	£4,300,000
4	Hermitage Road N15 5RE	3	£1,760,276
5	High Road N15 4AJ \| N15 4BN \| N15 4ET \| N15 4GW \| N15 4NP \| N15 4NS \| N15 4NU \| N15 4RQ \| N15 4RR \| N15 4RS \| N15 4RU \| N15 4TU \| N15 5BT \| N15 5JY \| N15 6DL \| N15 6DQ \| N15 6DS \| N15 6EJ \| N15 6JN \| N15 6JR \| N15 6JU \| N15 6LS \| N15 6LT \| N15 6LY \| N15 6ND \| N15 6UJ	40	£1,541,089
6	Colina Mews N15 3HS	2	£1,237,500
7	Castlewood Road N15 6BD \| N15 6BE	3	£1,020,000
8	Markfield Road N15 4QA \| N15 4QF \| N15 4QQ \| N15 4RB \| N15 4RG	2	£992,500
9	Leadale Road N15 6BH \| N15 6BJ	4	£972,500
10	Barry Avenue N15 6AD	3	£929,167

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Fountayne Road N15 4BE \| N15 4QL \| N15 4QN	1	£3,146
2	Green Lanes N15 3DY \| N15 3EA \| N15 3LA \| N15 3NX	4	£116,883
3	Copperfield Drive N15 4UF	1	£142,500
4	Tottenham Green East N15 4DQ \| N15 4UA \| N15 4UB \| N15 4UR \| N15 4UU	8	£188,091
5	Edgecot Grove N15 5HD \| N15 5HE \| N15 5HG \| N15 5HH	9	£245,387
6	Isobel Place N15 4FN \| N15 4FP	13	£247,452
7	Broad Lane N15 4AG \| N15 4DE \| N15 4DJ \| N15 4DP \| N15 4DT \| N15 4DU \| N15 4DW \| N15 4NF \| N15 4PW \| N15 4QD \| N15 4QH \| N15 4QJ \| N15 4QR \| N15 4QT \| N15 4QX	19	£248,711
8	Lomond Close N15 5DF	2	£256,625
9	Sturrock Close N15 5JA	3	£256,667
10	Olive Grove N15 3BJ	2	£262,500

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.