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Most and least expensive streets

Darlington, DL1

Darlington, DL1 has a total of 691 streets. The most expensive street in DL1 is Morton Park Way, with an average sale price of £10,268,333. The least expensive street in DL1 is Cornmill Centre, with an average sale price of £1,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Morton Park Way DL1 4PG \| DL1 4PH \| DL1 4PJ \| DL1 4PL \| DL1 4PQ \| DL1 4WE \| DL1 4XP \| DL1 4XZ	3	£10,268,333
2	Barrington Way DL1 4WF	2	£2,762,577
3	Victoria Road DL1 5JG \| DL1 5JH \| DL1 5JJ \| DL1 5JN \| DL1 5JQ \| DL1 5JW \| DL1 5NF \| DL1 5SB \| DL1 5SF \| DL1 5SJ \| DL1 5SN \| DL1 5SP	29	£1,827,475
4	Valley Street North DL1 1GY \| DL1 1LF \| DL1 1PY \| DL1 1QE \| DL1 1QF \| DL1 1QG \| DL1 1TJ	1	£1,820,000
5	Chesnut Street DL1 1QL \| DL1 1QQ \| DL1 1RJ	2	£1,675,000
6	East Street DL1 1PN	2	£1,482,500
7	St. Cuthberts Way DL1 1AA \| DL1 1DS \| DL1 1GB \| DL1 5LB \| DL1 5LN	1	£1,071,079
8	Yarm Road DL1 1AG \| DL1 1BA \| DL1 1BD \| DL1 1BE \| DL1 1DZ \| DL1 1EA \| DL1 1EB \| DL1 1ED \| DL1 1EE \| DL1 1EF \| DL1 1XD \| DL1 1XE \| DL1 1XF \| DL1 1XH \| DL1 1XL \| DL1 1XN \| DL1 1XQ \| DL1 1XW \| DL1 4DE \| DL1 4JN \| DL1 4PU \| DL1 4PW \| DL1 4PX \| DL1 4XW	44	£893,800
9	Allington Way DL1 4DY \| DL1 4QB \| DL1 4XT	4	£839,375
10	Henson Road DL1 4NZ \| DL1 4QD \| DL1 4WG	3	£771,500

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Cornmill Centre DL1 1LS \| DL1 1LT	1	£1,000
2	Albert Street DL1 4AE	1	£8,506
3	Aldbrough Walk DL1 4TT	2	£25,500
4	Kempton Court DL1 2UD	1	£32,500
5	St. Andrew Street DL1 2HD	2	£39,750
6	Henry Street DL1 2HG	1	£39,999
7	Huntley Street DL1 5LQ	1	£40,000
8	Dickinson Street DL1 4EQ	7	£42,000
9	Trevithick Close DL1 1HB	1	£42,000
10	Aldam Street DL1 2HY	7	£42,571

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.