Sold prices in ws1 For sale in ws1 To rent in ws1

Most and least expensive streets

Walsall, ws1

Walsall, ws1 has a total of 246 streets. The most expensive street in ws1 is Digbeth, with an average sale price of £207,531,500. The least expensive street in ws1 is Hawes Close, with an average sale price of £14,000.

Filter by number of transactions

Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Digbeth WS1 1QU \| WS1 1QZ \| WS1 1RY	5	£207,531,500
2	Bradford Street WS1 1NU \| WS1 1NX \| WS1 1PB \| WS1 1PH \| WS1 1PN \| WS1 1PQ \| WS1 3QA \| WS1 3QD	7	£1,409,042
3	Park Street WS1 1ER \| WS1 1LA \| WS1 1LY \| WS1 1NG \| WS1 1NH \| WS1 1NL \| WS1 1NW \| WS1 1QS	11	£1,181,964
4	Midland Road WS1 3DQ \| WS1 3PX \| WS1 3PZ \| WS1 3QB \| WS1 3QE \| WS1 3QL \| WS1 3QQ \| WS1 3TX \| WS1 3TY \| WS1 3TZ	3	£1,170,500
5	Fairground Way WS1 4NU	2	£1,055,000
6	Springhill Road WS1 2LN \| WS1 2LP	2	£1,022,555
7	St. Pauls Street WS1 1NN \| WS1 1NR	1	£875,000
8	Goodall Street WS1 1QG \| WS1 1QJ \| WS1 1QL \| WS1 2HE	2	£717,500
9	Bescot Crescent WS1 4DH \| WS1 4DJ \| WS1 4DL \| WS1 4DQ \| WS1 4ND \| WS1 4NG \| WS1 4NH \| WS1 4NN \| WS1 4NX \| WS1 4SA \| WS1 4SB \| WS1 4SD \| WS1 4SE \| WS1 4TS	12	£714,625
10	Lower Hall Lane WS1 1RH \| WS1 1RJ \| WS1 1RL \| WS1 1RR	5	£619,400

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Hawes Close WS1 3HG	1	£14,000
2	Paddock Lane WS1 2EH \| WS1 2HX	1	£20,000
3	The Bridge WS1 1LG \| WS1 1LN \| WS1 1LR \| WS1 1LW \| WS1 1SR	1	£45,000
4	Paddock WS1 2HL \| WS1 2HN \| WS1 2HP \| WS1 2HR \| WS1 2HS \| WS1 2HT \| WS1 2HW	2	£45,250
5	Hatherton Road WS1 1XR \| WS1 1XS \| WS1 1XZ \| WS1 1YA	6	£45,617
6	St. Matthews Close WS1 3DG	1	£48,000
7	Sister Dora Gardens WS1 3NY	1	£52,900
8	Leicester Street WS1 1PT	10	£54,750
9	Bank Street WS1 2EP	1	£60,000
10	St. Georges Place WS1 2AU	1	£69,000

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.