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Most and least expensive streets

Colchester, co4

Colchester, co4 has a total of 607 streets. The most expensive street in co4 is Axial Way, with an average sale price of £6,116,390. The least expensive street in co4 is Panton Crescent, with an average sale price of £50,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Axial Way CO4 5WY \| CO4 5XB \| CO4 5XD \| CO4 5ZD	4	£6,116,390
2	Cuckoo Farm Way CO4 5YX	1	£5,391,257
3	Severalls Lane CO4 5JA \| CO4 5JB \| CO4 5JS \| CO4 5YZ \| CO4 9PD	3	£3,633,333
4	Newcomen Way CO4 9AE \| CO4 9QJ \| CO4 9QL \| CO4 9RA \| CO4 9TG \| CO4 9WN \| CO4 9YA \| CO4 9YR	1	£3,400,000
5	Brunel Way CO4 9FG \| CO4 9QW \| CO4 9QX \| CO4 9XP	2	£2,492,500
6	Church Road CO4 5TG \| CO4 5TH \| CO4 5TQ	1	£2,182,975
7	Highwoods Approach CO4 9BA	1	£1,965,000
8	Ipswich Road CO4 0AA \| CO4 0AD \| CO4 0AE \| CO4 0AF \| CO4 0EH \| CO4 0EJ \| CO4 0EL \| CO4 0EN \| CO4 0EP \| CO4 0EQ \| CO4 0ER \| CO4 0ES \| CO4 0ET \| CO4 0EU \| CO4 0EW \| CO4 0EX \| CO4 0EY \| CO4 0HF \| CO4 0HG \| CO4 0HJ \| CO4 0HL \| CO4 0HN \| CO4 0HQ \| CO4 0HW \| CO4 0XB \| CO4 5NQ \| CO4 5QQ \| CO4 9HB \| CO4 9HD \| CO4 9TD \| CO4 9TF \| CO4 9WP	102	£1,964,514
9	Wyncolls Road CO4 9AA \| CO4 9AS \| CO4 9HT \| CO4 9HU \| CO4 9HW \| CO4 9HY \| CO4 9HZ \| CO4 9LW \| CO4 9PE \| CO4 9PJ	1	£1,842,000
10	Jack Andrews Drive CO4 9WX \| CO4 9YN	1	£1,790,000

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Panton Crescent CO4 3YE	1	£50,000
2	Gazelle Court CO4 9RW	6	£87,333
3	Rochdale Way CO4 3XQ	1	£103,500
4	Duffield Drive CO4 3YQ	3	£105,667
5	De Grey Road CO4 5TZ \| CO4 5YE \| CO4 5YQ	35	£112,400
6	Rectory Close CO4 5DN	1	£115,000
7	Brinkley Place CO4 5UX	9	£116,167
8	Buffett Way CO4 3YL	1	£122,000
9	Wheeler Close CO4 3YT	2	£122,500
10	Tynedale Square CO4 9SB \| CO4 9SN \| CO4 9TJ	9	£122,742

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.