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Most and least expensive streets

Bournemouth, BH7

Bournemouth, BH7 has a total of 119 streets. The most expensive street in BH7 is Deansleigh Road, with an average sale price of £5,700,000. The least expensive street in BH7 is Hannington Place, with an average sale price of £95,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Deansleigh Road BH7 7DS \| BH7 7DT \| BH7 7DU \| BH7 7DZ	2	£5,700,000
2	Glencoe Road BH7 7BE	4	£652,500
3	Harewood Place BH7 6NU	1	£642,500
4	Littledown Drive BH7 7AH \| BH7 7AQ	7	£635,550
5	Shepherds Way BH7 7JY	2	£620,000
6	Littledown Avenue BH7 7AN \| BH7 7AP \| BH7 7AR \| BH7 7AS \| BH7 7AT \| BH7 7AU \| BH7 7AW \| BH7 7AX	11	£558,725
7	Leeson Road BH7 7AY \| BH7 7AZ	12	£554,643
8	William Road BH7 7BA \| BH7 7BB	3	£553,150
9	Newlands Road BH7 6NX	1	£547,000
10	Woodcocks Crescent BH7 7JW	1	£530,000

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Hannington Place BH7 6JU	1	£95,000
2	Warwick Place BH7 6JS	4	£113,750
3	Tamworth Road BH7 6JG	7	£145,821
4	Haviland Road BH7 6HH \| BH7 6HJ \| BH7 6HW	17	£153,926
5	Gladstone Mews BH7 6BG	3	£160,000
6	Kings Park Drive BH7 6NE \| BH7 7AG	6	£166,333
7	Gladstone Road East BH7 6HE \| BH7 6HF \| BH7 6HQ	4	£171,875
8	Christchurch Road BH7 6AA \| BH7 6AB \| BH7 6AF \| BH7 6AH \| BH7 6AJ \| BH7 6AN \| BH7 6AP \| BH7 6AQ \| BH7 6AR \| BH7 6AT \| BH7 6AU \| BH7 6AW \| BH7 6AX \| BH7 6AY \| BH7 6AZ \| BH7 6BB \| BH7 6BD \| BH7 6BE \| BH7 6BP \| BH7 6BQ \| BH7 6BS \| BH7 6BT \| BH7 6BW \| BH7 6BY \| BH7 6BZ \| BH7 6DD \| BH7 6DF \| BH7 6DJ \| BH7 6DL \| BH7 6DP \| BH7 6DQ \| BH7 6DR \| BH7 6DS \| BH7 6DT \| BH7 6DW \| BH7 6DY \| BH7 6EA \| BH7 6ED \| BH7 6EE \| BH7 6EG	231	£187,414
9	Hannington Grove BH7 6AL	2	£197,500
10	Buchanan Avenue BH7 7AA	7	£201,993

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.