Sold prices in m1 For sale in m1 To rent in m1

Most and least expensive streets

Motherwell, m1

Motherwell, m1 has a total of 119 streets. The most expensive street in m1 is New York Street, with an average sale price of £55,306,000. The least expensive street in m1 is Lockton Court, with an average sale price of £36,225.

Filter by number of transactions

Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	New York Street M1 4AD \| M1 4HD \| M1 4HJ \| M1 4HN \| M1 4JB \| M1 4JD	1	£55,306,000
2	Great Bridgewater Street M1 5ES \| M1 5HA \| M1 5JG \| M1 5JQ \| M1 5JW \| M1 5LE \| M1 5RR	14	£17,858,596
3	Laystall Street M1 2JP \| M1 2JZ	1	£15,000,000
4	Oxford Street M1 4BH \| M1 4PB \| M1 5AE \| M1 5AN \| M1 5EE \| M1 5EJ \| M1 5NH \| M1 5WH \| M1 6EG \| M1 6EJ \| M1 6EQ \| M1 6ET \| M1 6EU \| M1 6EX \| M1 6FQ \| M1 6FT \| M1 6HT \| M1 6NT \| M1 6PP \| M1 6SS	3	£14,990,666
5	Market Street M1 1NN \| M1 1PB \| M1 1PD \| M1 1PL \| M1 1PN \| M1 1PT \| M1 1PW \| M1 1WA \| M1 1WN \| M1 1WR \| M1 1WT	7	£13,421,667
6	St. James Street M1 4BP	1	£11,150,000
7	Chorlton Street M1 3EJ \| M1 3FH \| M1 3FY \| M1 3HN \| M1 3HW \| M1 3HY \| M1 3JF	8	£8,445,827
8	Churchgate Buildings M1 2WL	1	£7,620,000
9	Aytoun Street M1 3AE \| M1 3BL \| M1 3DA \| M1 3DB \| M1 3DT \| M1 3GH	42	£7,395,476
10	Dickinson Street M1 4LF \| M1 4LX	7	£7,226,542

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Lockton Court M1 7JP \| M1 7JQ	1	£36,225
2	Travis Street M1 2NF \| M1 2NG \| M1 2NY	1	£48,164
3	Merrow Walk M1 7JN	1	£74,100
4	Piccadilly Plaza M1 4AH \| M1 4AJ \| M1 4AL \| M1 4BT	1	£76,357
5	Lamport Court M1 7EG \| M1 7EQ	3	£104,488
6	Heyrod Street M1 2WW	1	£114,000
7	Penfield Close M1 7JL	1	£140,000
8	Mancroft Walk M1 7FW	2	£152,500
9	Lockton Close M1 7JG	1	£155,000
10	Cobourg Street M1 3GB \| M1 3GY	10	£170,150

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.