Sold prices in BN15 For sale in BN15 To rent in BN15

Most and least expensive streets

Lancing, BN15

Lancing, BN15 has a total of 283 streets. The most expensive street in BN15 is Peter Road, with an average sale price of £1,650,000. The least expensive street in BN15 is Ingleside Road, with an average sale price of £70,040.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Peter Road BN15 8TH \| BN15 8TJ	2	£1,650,000
2	Chartwell Road BN15 8FB \| BN15 8FD \| BN15 8SP \| BN15 8TU \| BN15 8TY \| BN15 8TZ \| BN15 8UE	15	£1,565,280
3	Church Lane BN15 0AZ \| BN15 0BA	2	£1,132,500
4	Mount Way BN15 0QD	2	£900,000
5	Shopsdam Road BN15 8ES	1	£725,000
6	Fairview Road BN15 0PA	1	£675,000
7	Marlborough Road BN15 8AD \| BN15 8AF \| BN15 8SJ \| BN15 8SU \| BN15 8TG \| BN15 8TN \| BN15 8TP \| BN15 8TR \| BN15 8UF \| BN15 8UG \| BN15 8UN \| BN15 8UW	6	£661,500
8	The Saltings BN15 8EH	1	£600,000
9	Spencer Road BN15 8UA	1	£559,242
10	Ring Road BN15 0QE \| BN15 0QF	15	£555,732

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Ingleside Road BN15 8EL	1	£70,040
2	Middle Road BN15 9JD \| BN15 9JE \| BN15 9JF \| BN15 9JG	2	£117,500
3	Millfield BN15 0DN \| BN15 0DW	10	£148,548
4	South Street BN15 8AA \| BN15 8AE \| BN15 8AG \| BN15 8AJ \| BN15 8AN \| BN15 8AP \| BN15 8AQ \| BN15 8AS \| BN15 8AT \| BN15 8AU \| BN15 8BD \| BN15 8BE	27	£177,237
5	Birch Close BN15 8PX	5	£178,400
6	Queensway BN15 9AY	2	£178,500
7	Beachcroft Place BN15 8FG \| BN15 8JN	14	£192,536
8	Bushby Close BN15 9JW	11	£193,591
9	Wembley Gardens BN15 9FN \| BN15 9LX \| BN15 9LY \| BN15 9WF	6	£198,125
10	North Road BN15 9AA \| BN15 9AB \| BN15 9AE \| BN15 9AH \| BN15 9AS \| BN15 9AU \| BN15 9AZ \| BN15 9BA \| BN15 9BB \| BN15 9BD \| BN15 9BE \| BN15 9BG \| BN15 9TF	25	£198,589

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.