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Most and least expensive streets

Bromley, br1

Bromley, br1 has a total of 469 streets. The most expensive street in br1 is Masons Hill, with an average sale price of £91,000,000. The least expensive street in br1 is Willow Tree Walk, with an average sale price of £114,214.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Masons Hill BR1 1DS \| BR1 1DU	1	£91,000,000
2	Kentish Way BR1 3EF	1	£58,603,529
3	Bickley Road BR1 2ND \| BR1 2NE \| BR1 2NF \| BR1 2TB	4	£23,310,625
4	High Street BR1 1AD \| BR1 1DD \| BR1 1DJ \| BR1 1DN \| BR1 1EA \| BR1 1EG \| BR1 1ER \| BR1 1EW \| BR1 1EX \| BR1 1EY \| BR1 1EZ \| BR1 1HA \| BR1 1HD \| BR1 1HE \| BR1 1HF \| BR1 1HG \| BR1 1JD \| BR1 1JF \| BR1 1JH \| BR1 1JL \| BR1 1JQ \| BR1 1JW \| BR1 1JY \| BR1 1LA \| BR1 1LD \| BR1 1LE \| BR1 1LF \| BR1 1LG \| BR1 1NJ \| BR1 1NN \| BR1 1NY \| BR1 1NZ \| BR1 1PG \| BR1 1PQ \| BR1 1PW \| BR1 1SE	59	£5,072,265
5	Bickley Park Road BR1 2AS \| BR1 2AT \| BR1 2AY \| BR1 2AZ \| BR1 2BE \| BR1 2BH \| BR1 2BQ	33	£3,881,613
6	Newman Road BR1 1RJ	1	£2,520,000
7	Elmfield Road BR1 1AJ \| BR1 1LP \| BR1 1LR \| BR1 1LS \| BR1 1LT \| BR1 1LW \| BR1 1NX \| BR1 1TF	29	£2,356,670
8	The Mall BR1 1TD \| BR1 1TR \| BR1 1TS \| BR1 1TT	10	£2,033,056
9	Mount Close BR1 2PH	1	£1,850,000
10	Thornet Wood Road BR1 2LN \| BR1 2LW	1	£1,820,000

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Willow Tree Walk BR1 3LJ	7	£114,214
2	Cooden Close BR1 3TR \| BR1 3TT	5	£233,650
3	Waldo Road BR1 2QX \| BR1 2WD	2	£247,500
4	Hope Park BR1 3RG \| BR1 3RQ \| BR1 3TQ	19	£251,889
5	Weston Grove BR1 3RJ	4	£256,000
6	Stoneleigh Road BR1 2FU \| BR1 2FW	13	£256,448
7	Tristram Road BR1 5LX	7	£257,000
8	Beachborough Road BR1 5RL	7	£258,071
9	Ryder Close BR1 5AH	3	£258,333
10	Yewdale Close BR1 4JJ	2	£259,000

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.