Most and least expensive streets

Pevensey, BN24


Pevensey, BN24 has a total of 146 streets. The most expensive street in BN24 is Bexhill Road, with an average sale price of £2,481,987. The least expensive street in BN24 is Church Bailey, with an average sale price of £125,708.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Bexhill Road

BN24 5JT | BN24 5JW
4 £2,481,987
2 Eastbourne Road

BN24 5ND | BN24 5NE | BN24 5NF | BN24 5NG | BN24 5NH | BN24 6BA | BN24 6BL | BN24 6BN | BN24 6DH | BN24 6DT | BN24 6EJ | BN24 6EP | BN24 6ER | BN24 6ES | BN24 6ET | BN24 6EU | BN24 6EX | BN24 6HJ | BN24 6HL | BN24 6HN | BN24 6HP | BN24 6HR | BN24 6HS | BN24 6JJ
34 £1,624,013
3 Val Prinseps Road

BN24 6JD | BN24 6JG | BN24 6JH | BN24 6JL | BN24 6JQ
8 £1,093,528
4 Glynleigh Road

BN24 5BJ | BN24 5BL
1 £850,000
5 Marine Terrace

BN24 6EQ
1 £810,000
6 Hankham Hall Road

BN24 5AE | BN24 5AG | BN24 5AH | BN24 5AJ | BN24 5AQ | BN24 5BA | BN24 5BB | BN24 5BN
3 £717,500
7 The Promenade

BN24 6HD | BN24 6HE | BN24 6HF
1 £638,000
8 Peelings Lane

BN24 5AB | BN24 5AD | BN24 5HE | BN24 5HG
4 £562,750
9 Milton Street

BN24 5AT | BN24 5AU | BN24 5AX
2 £556,000
10 Hailsham Road

BN24 5AS | BN24 5BS | BN24 5BT | BN24 5BU | BN24 5BX | BN24 5BY
21 £513,729


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Church Bailey

BN24 5NQ | BN24 5NR
14 £125,708
2 North Road

BN24 6AY
3 £135,833
3 Collier Road

BN24 6EY | BN24 6EZ
3 £158,333
4 Warminster Road

BN24 6EL
1 £175,000
5 Harold Close

BN24 6SL
4 £201,500
6 Hobney Rise

BN24 5NN
5 £204,900
7 Grenville Road

BN24 6BP | BN24 6BS | BN24 6BT
15 £205,286
8 Arundel Close

BN24 6SF
2 £213,500
9 Camber Drive

BN24 6RH | BN24 6RN
11 £218,781
10 Seaville Drive

BN24 6AL | BN24 6AZ
7 £219,900


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.