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Most and least expensive streets

Southend-on-sea, SS2

Southend-on-sea, SS2 has a total of 258 streets. The most expensive street in SS2 is Fossetts Drive, with an average sale price of £6,797,945. The least expensive street in SS2 is Lornes Close, with an average sale price of £54,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Fossetts Drive SS2 4HF	1	£6,797,945
2	Comet Way SS2 6GD \| SS2 6GE \| SS2 6TR \| SS2 6XR	7	£2,346,250
3	Eastwoodbury Crescent SS2 6XG \| SS2 6XH	13	£1,595,008
4	Harcourt Avenue SS2 6HE \| SS2 6HT \| SS2 6HU	10	£1,382,583
5	Aviation Way SS2 6GG \| SS2 6GH \| SS2 6UN	3	£1,282,728
6	Priory Crescent SS2 6JX \| SS2 6JY \| SS2 6JZ \| SS2 6PR \| SS2 6QN	13	£1,049,951
7	Grainger Road SS2 5BZ	1	£850,000
8	Stock Road SS2 5FZ \| SS2 5LR \| SS2 5NN \| SS2 5QB \| SS2 5QD \| SS2 5QF \| SS2 5QG \| SS2 5QH \| SS2 5QL \| SS2 5QN \| SS2 5XB \| SS2 5XX	8	£825,500
9	Greyhound Way SS2 5PY	1	£750,000
10	Southchurch Boulevard SS2 4UA \| SS2 4UB \| SS2 4UL \| SS2 4UP \| SS2 4UR \| SS2 4UT \| SS2 4UU \| SS2 4UX \| SS2 4UY \| SS2 4UZ \| SS2 4XA	44	£624,629

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Lornes Close SS2 4PX	1	£54,000
2	Farriers Way SS2 5RY	3	£94,000
3	Sherwood Way SS2 4SR \| SS2 4SS \| SS2 4ST \| SS2 4SU	1	£95,000
4	Pantile Avenue SS2 4BD \| SS2 4BE \| SS2 4BG \| SS2 4BH \| SS2 4BJ \| SS2 4BL \| SS2 4BQ	3	£98,750
5	Sumpters Way SS2 5RR	2	£105,500
6	Norwich Close SS2 4DJ	1	£109,000
7	Chichester Road SS2 5AH \| SS2 5AJ \| SS2 5BQ	1	£110,000
8	Stadium Road SS2 5DH	29	£111,731
9	Ferndown Close SS2 5FR	1	£120,000
10	Coleman Street SS2 5AB \| SS2 5AD \| SS2 5AE \| SS2 5AF \| SS2 5AG \| SS2 5AQ \| SS2 5AW \| SS2 5BE	9	£127,322

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.