Most and least expensive streets

Wrexham, LL11


Wrexham, LL11 has a total of 651 streets. The most expensive street in LL11 is Lord Street, with an average sale price of £828,738. The least expensive street in LL11 is Meadow View, with an average sale price of £59,000.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Lord Street

LL11 1LF | LL11 1LG | LL11 1LH | LL11 1LP | LL11 1LR | LL11 1LS | LL11 1LY
3 £828,738
2 Trinity Street

LL11 1NH | LL11 1NL
1 £820,000
3 Rhosddu Industrial Estate

LL11 4RE | LL11 4YL | LL11 4YY
3 £731,667
4 Station Approach

LL11 2AA | LL11 2NY
1 £678,000
5 Regent Street

LL11 1AA | LL11 1PF | LL11 1PR | LL11 1RB | LL11 1RE | LL11 1RN | LL11 1RR | LL11 1RY | LL11 1SA | LL11 1SE | LL11 1SG
12 £633,229
6 Berse Road

LL11 2BH | LL11 2BL | LL11 6SL | LL11 6TP | LL11 6TQ | LL11 6TR
5 £619,384
7 Llay New Road

LL11 4BG
1 £599,999
8 Chester Road

LL11 2SA | LL11 2SD | LL11 2SF | LL11 2SG | LL11 2SH | LL11 2SJ | LL11 2SL | LL11 2SN | LL11 2SW
16 £548,473
9 Hill Street

LL11 1SN | LL11 4UA | LL11 6AA | LL11 6DA | LL11 6HF | LL11 6HG | LL11 6HH | LL11 6HL | LL11 6HN | LL11 6HW
14 £544,725
10 Grosvenor Road

LL11 1BS | LL11 1BT | LL11 1BU | LL11 1BW | LL11 1DE | LL11 1DN | LL11 1DP | LL11 1SD
2 £455,000


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Meadow View

LL11 5TP
1 £59,000
2 Queen Street

LL11 1AL | LL11 1AP
1 £59,000
3 Tai Newyddion

LL11 3BH
2 £63,500
4 Hazel Avenue

LL11 4EA
1 £65,000
5 Aldergrove Place

LL11 3NZ
11 £66,818
6 Bank Street

LL11 1AH | LL11 5PE
5 £67,000
7 Beirnes Terrace

LL11 4RN
2 £67,500
8 Maelor View

LL11 5DN
2 £69,250
9 Woodland Grove

LL11 4TT
1 £70,000
10 Sturges Walk

LL11 6SE
1 £70,000


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.