Sold prices in PE19 For sale in PE19 To rent in PE19

Most and least expensive streets

St. Neots, PE19

St. Neots, PE19 has a total of 700 streets. The most expensive street in PE19 is Howard Road, with an average sale price of £5,292,083. The least expensive street in PE19 is Paddock Close, with an average sale price of £64,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Howard Road PE19 8ET \| PE19 8EU \| PE19 8EX \| PE19 8GA \| PE19 8GB \| PE19 8NZ	3	£5,292,083
2	Howitts Lane PE19 2JA \| PE19 2JB \| PE19 2JG \| PE19 2JJ \| PE19 2PE	11	£2,193,855
3	Tebbutts Road PE19 1AW \| PE19 1RJ \| PE19 1RQ	1	£1,675,000
4	Cromwell Road PE19 1QL \| PE19 1QN \| PE19 1QW \| PE19 2DX \| PE19 2ES \| PE19 2ET \| PE19 2EU \| PE19 2EX \| PE19 2EY \| PE19 2EZ \| PE19 2HP \| PE19 2NY	4	£1,387,500
5	Saviles Close PE19 7GD	3	£1,276,667
6	Main Road PE19 5EH \| PE19 5EP \| PE19 5EQ \| PE19 5ES	11	£1,250,757
7	Huntingdon Street PE19 1BB \| PE19 1BG \| PE19 1BH \| PE19 1BL \| PE19 1BQ \| PE19 1BY \| PE19 1DA \| PE19 1DN \| PE19 1DP \| PE19 1DU \| PE19 1DX \| PE19 1DY \| PE19 1RL	17	£1,238,910
8	Gransden Road PE19 6UA \| PE19 6UD	1	£1,095,000
9	Station Road PE19 1AR \| PE19 1QF \| PE19 1QH	3	£1,016,667
10	Colmworth Business Park PE19 8ER \| PE19 8YP \| PE19 8YT \| PE19 8YU \| PE19 8YW \| PE19 8YX	7	£990,583

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Paddock Close PE19 6BF	1	£64,000
2	Fern Court PE19 2LN	1	£87,500
3	Huntingdon Road PE19 1AA \| PE19 1RF	1	£93,678
4	Lucas Crescent PE19 6DD	1	£96,000
5	Pattison Court PE19 6BJ	2	£98,325
6	Russell Court PE19 1AY \| PE19 1AZ	1	£100,000
7	Longsands Parade PE19 1SU	1	£100,000
8	Hall Road PE19 2SF	3	£104,333
9	Cranfield Close PE19 5WS	1	£115,000
10	The Glebe PE19 5AB	1	£118,000

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.