Most and least expensive streets

Wokingham, RG41


Wokingham, RG41 has a total of 414 streets. The most expensive street in RG41 is King Street Lane, with an average sale price of £9,050,000. The least expensive street in RG41 is Calver Close, with an average sale price of £119,250.



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Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 King Street Lane

RG41 5AP | RG41 5AR | RG41 5AS | RG41 5AX | RG41 5AY | RG41 5AZ | RG41 5BA | RG41 5PW
6 £9,050,000
2 Wharfedale Road

RG41 5RA | RG41 5RB | RG41 5RD | RG41 5TP | RG41 5TZ
2 £5,800,000
3 Fishponds Road

RG41 2AN | RG41 2GX | RG41 2GY | RG41 2GZ | RG41 2QE | RG41 2QH | RG41 2QJ | RG41 2QX
10 £3,567,000
4 Molly Millars Lane

RG41 2AD | RG41 2EY | RG41 2PQ | RG41 2PT | RG41 2PX | RG41 2PY | RG41 2QP | RG41 2QR | RG41 2QY | RG41 2QZ | RG41 2RF | RG41 2RT | RG41 2RU | RG41 2RZ | RG41 2SJ
21 £2,783,657
5 Fernlea Drive

RG41 3DR
1 £2,400,000
6 Bearwood Road

RG41 4SE | RG41 4SG | RG41 4SH | RG41 4SJ | RG41 4SL | RG41 4SN | RG41 4SR | RG41 4SX | RG41 4SY | RG41 4TB | RG41 4TD | RG41 5BB | RG41 5BN | RG41 5BP | RG41 5BS | RG41 5BT | RG41 5BU
28 £1,723,809
7 Molly Millars Bridge

RG41 2WY
2 £1,635,000
8 Molly Millars Close

RG41 2RX
1 £1,575,000
9 Wood Lane

RG41 4TS
2 £1,527,500
10 Eskdale Road

RG41 5TS | RG41 5TU
2 £1,471,567


Least expensive streets

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

RG41 5QT
2 £119,250
2 Emmview Close

RG41 3BR | RG41 3DA
14 £195,583
3 Targett Court

RG41 5HP
1 £220,000
4 Frederick Place

RG41 2YB
5 £230,000
5 Sadlers Court

RG41 5AF
11 £238,091
6 Bucks Copse

RG41 2QD | RG41 2QU
2 £241,000
7 Barley Gardens

RG41 5JL
2 £242,750
8 Petrel Close

RG41 3TF
1 £252,000
9 Ashville Way

RG41 2AR | RG41 2AS | RG41 2AT | RG41 2AU | RG41 2AW | RG41 2AX | RG41 2AY | RG41 2AZ | RG41 2PL
40 £252,807
10 Kennet Court

RG41 3DB
34 £253,453


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.