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Most and least expensive streets

Hatfield, AL10

Hatfield, AL10 has a total of 324 streets. The most expensive street in AL10 is Frobisher Way, with an average sale price of £17,500,000. The least expensive street in AL10 is Bury Road, with an average sale price of £87,500.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Frobisher Way AL10 9SL \| AL10 9TG \| AL10 9TH \| AL10 9TQ \| AL10 9TR	1	£17,500,000
2	Bishops Square AL10 9EX \| AL10 9NA \| AL10 9NE \| AL10 9UH	1	£10,180,000
3	Travellers Lane AL10 8SB \| AL10 8SD \| AL10 8SE \| AL10 8SF \| AL10 8SG \| AL10 8SS \| AL10 8TF \| AL10 8TH \| AL10 8TJ \| AL10 8TQ \| AL10 8XB \| AL10 8XF	9	£7,098,861
4	Roehyde Way AL10 9AF	1	£5,980,000
5	Drakes Way AL10 8XR \| AL10 8XY	4	£4,483,797
6	Beaconsfield Close AL10 8YE \| AL10 8YG	2	£3,850,000
7	Frobisher Way Hatfield Business Park AL10 9TY	1	£1,856,000
8	Wilkins Green Lane AL10 9RB \| AL10 9RF \| AL10 9RT	3	£1,529,167
9	St. Albans Road West AL10 0RT \| AL10 0RU \| AL10 0ST \| AL10 0SZ \| AL10 0TA \| AL10 0TF \| AL10 9NG \| AL10 9RH \| AL10 9RJ \| AL10 9RN \| AL10 9RU	18	£1,186,065
10	Comet Way AL10 0XR \| AL10 0XS \| AL10 0XU \| AL10 0XX \| AL10 0XY \| AL10 0YA \| AL10 0YB \| AL10 0YD \| AL10 9SJ \| AL10 9TF \| AL10 9TL	4	£1,049,256

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Bury Road AL10 8BJ	1	£87,500
2	Filbert Close AL10 9SH	7	£124,369
3	Woodpecker Close AL10 9ET	5	£133,125
4	Queensway AL10 0LF \| AL10 0LR \| AL10 0LS \| AL10 0LT \| AL10 0LW	2	£147,500
5	Wenham Place AL10 0DD	3	£162,333
6	Walsingham Close AL10 0RP \| AL10 0RR \| AL10 0RS	36	£164,998
7	Townfields AL10 0AY	2	£167,000
8	Fiddle Bridge Lane AL10 0SP	2	£177,500
9	Downsfield AL10 8TL	1	£180,000
10	Middlefield AL10 0EE \| AL10 0EF \| AL10 0EQ	4	£182,125

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.