Sold prices in n20 For sale in n20 To rent in n20

Most and least expensive streets

London, n20

London, n20 has a total of 143 streets. The most expensive street in n20 is Pine Grove, with an average sale price of £3,498,600. The least expensive street in n20 is Kendal Close, with an average sale price of £120,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Pine Grove N20 8LA \| N20 8LB \| N20 8LD	6	£3,498,600
2	The Pastures N20 8AN	3	£2,732,000
3	Totteridge Green N20 8PA \| N20 8PB \| N20 8PD \| N20 8PE \| N20 8PG \| N20 8PH \| N20 8PY	3	£2,707,500
4	Wykeham Rise N20 8AJ	1	£2,700,000
5	Grange Avenue N20 8AA \| N20 8AB \| N20 8AD	3	£2,681,250
6	Totteridge Common N20 8LL \| N20 8LR \| N20 8LS \| N20 8LU \| N20 8LZ \| N20 8ND \| N20 8NE \| N20 8NG \| N20 8NH \| N20 8NL	5	£2,591,089
7	Totteridge Village N20 8AE \| N20 8AG \| N20 8JN \| N20 8JP \| N20 8NX \| N20 8PN \| N20 8PP \| N20 8PR \| N20 8PS \| N20 8PT	9	£2,296,786
8	Harmsworth Way N20 8JT \| N20 8JU	6	£2,150,313
9	Barnet Lane N20 8AL \| N20 8AP \| N20 8AS \| N20 8AT \| N20 8AU \| N20 8AZ	2	£1,751,500
10	Oakleigh Park South N20 9JL \| N20 9JN \| N20 9JP \| N20 9JR \| N20 9JS \| N20 9JU	16	£1,561,694

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Kendal Close N20 0SU	1	£120,000
2	Russell Gardens N20 0TR	2	£221,625
3	Oakleigh Close N20 0RT	5	£224,300
4	Greenside Close N20 0PA	2	£243,750
5	Farnham Close N20 9PQ \| N20 9PU \| N20 9PW	12	£252,954
6	York Way N20 0DF \| N20 0DR	11	£263,636
7	Magdalene Gardens N20 0AF	16	£298,469
8	Simmons Close N20 0TJ \| N20 0TW	5	£301,479
9	Deodora Close N20 0DQ	1	£310,000
10	Denham Road N20 0DJ \| N20 0DL \| N20 0DN \| N20 0EA \| N20 0EB \| N20 0ED \| N20 0EE \| N20 0EF \| N20 0EL \| N20 0EN \| N20 0EP	14	£313,385

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.