Sold prices in SE13 For sale in SE13 To rent in SE13

Most and least expensive streets

London, SE13

London, SE13 has a total of 242 streets. The most expensive street in SE13 is Mercy Terrace, with an average sale price of £4,200,000. The least expensive street in SE13 is Morden Lane, with an average sale price of £35,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Mercy Terrace SE13 7UX	1	£4,200,000
2	Jerrard Street SE13 7HE \| SE13 7SL \| SE13 7TA	1	£1,500,000
3	St. Austell Road SE13 7EQ	4	£1,221,250
4	Lewisham High Street SE13 5AF \| SE13 5JH \| SE13 5JJ \| SE13 5JX \| SE13 5JZ \| SE13 5LN \| SE13 6AA \| SE13 6AD \| SE13 6AQ \| SE13 6AT \| SE13 6AY \| SE13 6BB \| SE13 6BE \| SE13 6EE \| SE13 6JG \| SE13 6JL \| SE13 6JP \| SE13 6JU \| SE13 6JZ \| SE13 6LE \| SE13 6LG \| SE13 6LH \| SE13 6LJ \| SE13 6LL \| SE13 6LQ \| SE13 6LW \| SE13 6LY \| SE13 6NH \| SE13 6NL \| SE13 6NN \| SE13 6NQ \| SE13 6NR \| SE13 6NX \| SE13 6NY \| SE13 6NZ	66	£1,154,472
5	Kingswood Place SE13 5BU	1	£1,100,000
6	Thurston Road SE13 7GT \| SE13 7GU \| SE13 7JG \| SE13 7SD	10	£1,099,342
7	Eton Grove SE13 5BY	6	£1,086,500
8	Morden Hill SE13 7GJ \| SE13 7NN \| SE13 7NP \| SE13 7NT	5	£1,077,750
9	Lee Terrace SE13 5DL	19	£976,326
10	St. Margarets Passage SE13 5BS	1	£925,000

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Morden Lane SE13 7NR \| SE13 7NS	1	£35,000
2	Lewis Grove SE13 6BG	3	£104,500
3	Hamlet Close SE13 5SS	2	£235,000
4	Clipper Way SE13 6NA	2	£241,875
5	Aldworth Grove SE13 6HJ	10	£242,500
6	Arlington Close SE13 6AX	1	£247,500
7	Lethbridge Close SE13 7QH \| SE13 7QJ \| SE13 7QL \| SE13 7QN \| SE13 7QW	7	£258,750
8	Somerset Gardens SE13 7SY	3	£268,167
9	Lee Church Street SE13 5SF \| SE13 5SG	3	£275,000
10	Celestial Gardens SE13 5RP \| SE13 5RU	17	£276,986

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.