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Most and least expensive streets

London, N16

London, N16 has a total of 249 streets. The most expensive street in N16 is Somerford Grove, with an average sale price of £11,011,450. The least expensive street in N16 is Albion Parade, with an average sale price of £16,667.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Somerford Grove N16 7RZ \| N16 7TT \| N16 7TX \| N16 7TY \| N16 7UA	5	£11,011,450
2	Leweston Place N16 6RH \| N16 6RJ	3	£1,985,000
3	Timberwharf Road N16 6DB	1	£1,820,000
4	Allerton Road N16 5UF \| N16 5UJ	13	£1,469,076
5	Rookwood Road N16 6SD \| N16 6SL \| N16 6SP \| N16 6SS	6	£1,420,904
6	Castlewood Road N16 6DH \| N16 6DJ \| N16 6DL \| N16 6DR \| N16 6DS \| N16 6DU \| N16 6DW \| N16 6DX	24	£1,365,804
7	Darenth Road N16 6EB \| N16 6ED \| N16 6EE \| N16 6EF \| N16 6EH \| N16 6EJ \| N16 6EP \| N16 6ES	7	£1,363,883
8	Gilda Crescent N16 6JP \| N16 6JT	3	£1,281,250
9	Clissold Road N16 9ER \| N16 9EU \| N16 9EX \| N16 9EY \| N16 9EZ	4	£1,245,417
10	Reedholm Villas N16 9LP	2	£1,192,500

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Albion Parade N16 9LD	3	£16,667
2	Matthias Road N16 8NN \| N16 8NP \| N16 8NT \| N16 8NU \| N16 8NW \| N16 8QD \| N16 8QZ	8	£149,882
3	Forman Place N16 7TZ	1	£150,000
4	Saw Mill Way N16 6AE \| N16 6AF \| N16 6AG \| N16 6AN	4	£201,750
5	Wilderton Road N16 5QY \| N16 5QZ	2	£205,150
6	Lewis Gardens N16 5PF \| N16 5PJ	21	£220,360
7	Bradbury Street N16 8JN	2	£280,000
8	Shacklewell Road N16 7RL \| N16 7TP \| N16 7TU \| N16 7TW	9	£342,521
9	Newington Green N16 9PQ \| N16 9PR \| N16 9PU \| N16 9PX \| N16 9QH	9	£350,028
10	Holmleigh Road Estate N16 5QD \| N16 5QE \| N16 5QF \| N16 5QP \| N16 5QR \| N16 5QW \| N16 5RH \| N16 5RQ	7	£368,400

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.