Most and least expensive streets

Oxford, ox3


Oxford, ox3 has a total of 408 streets. The most expensive street in ox3 is London Road, with an average sale price of £4,487,441. The least expensive street in ox3 is Blackburn Close, with an average sale price of £96,042.



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Most expensive streets

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

OX3 7FA | OX3 7FT | OX3 7FW | OX3 7FX | OX3 7PA | OX3 7PB | OX3 7PD | OX3 7RD | OX3 7RE | OX3 7SL | OX3 7SN | OX3 7SP | OX3 8DJ | OX3 8DN | OX3 8DP | OX3 8DW | OX3 8FW | OX3 9AA | OX3 9AB | OX3 9AE | OX3 9AF | OX3 9AG | OX3 9AH | OX3 9AJ | OX3 9AP | OX3 9AS | OX3 9AW | OX3 9AX | OX3 9BB | OX3 9ED | OX3 9EE | OX3 9EG | OX3 9EH | OX3 9EJ | OX3 9EL | OX3 9FN | OX3 9HZ | OX3 9JA | OX3 9RW | OX3 9RX | OX3 9RY
59 £4,487,441
2 Headington Hill

OX3 0BT | OX3 0FJ
1 £3,770,000
3 Dora Carr Close

OX3 9RF | OX3 9RU
1 £3,347,452
4 Pullens Lane

OX3 0BX | OX3 0BY | OX3 0BZ | OX3 0DA | OX3 0DT
4 £2,893,750
5 Harberton Mead

OX3 0DB | OX3 0FD
4 £1,866,250
6 The Ridings

OX3 8TB
1 £1,500,000
7 Copse Lane

OX3 0AT | OX3 0AU | OX3 0AX | OX3 0AY | OX3 0QZ
13 £1,496,375
8 Feilden Grove

OX3 0DU
1 £1,150,000
9 Stoke Place

OX3 9BX
3 £1,116,167
10 Mill Lane

OX3 0PY | OX3 0PZ | OX3 0QA | OX3 0QB | OX3 0QD | OX3 0QF | OX3 0QG
4 £1,107,000


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Blackburn Close

OX3 7TX
3 £96,042
2 Brome Place

OX3 9LR
2 £137,500
3 Peat Moors

OX3 7HG | OX3 7HQ | OX3 7HS
9 £213,657
4 Shaftsbury Road

OX3 9NQ
3 £219,000
5 Slade Close

OX3 7DY
2 £223,550
6 Horspath Driftway

OX3 7FJ | OX3 7FL | OX3 7FN | OX3 7FP | OX3 7JG | OX3 7JH | OX3 7JN | OX3 7JQ
1 £225,000
7 Ilsley Road

OX3 9LP
4 £229,500
8 Cress Hill

OX3 9EZ
1 £230,000
9 Cholesbury Grange

OX3 7TE
3 £230,667
10 Joan Lawrence Place

OX3 8TG
7 £236,571


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.