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Most and least expensive streets

Reading, RG7

Reading, RG7 has a total of 525 streets. The most expensive street in RG7 is Exeter Way, with an average sale price of £14,050,000. The least expensive street in RG7 is Frouds Lane, with an average sale price of £55,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Exeter Way RG7 4AW \| RG7 4PF \| RG7 4PL	1	£14,050,000
2	Brunel Road RG7 4AB \| RG7 4AQ \| RG7 4BY \| RG7 4XE	2	£8,432,500
3	Arrowhead Road RG7 4AD \| RG7 4AE \| RG7 4AH	1	£2,400,000
4	Nightingale Lane RG7 3PS \| RG7 3PT \| RG7 3PU \| RG7 3PX	2	£1,950,000
5	Midgham Green RG7 5TT \| RG7 5TX	3	£1,731,500
6	Cods Hill RG7 5QG \| RG7 5QH	1	£1,705,000
7	Ash Lane RG7 2NH \| RG7 2NL \| RG7 3HR	4	£1,619,542
8	Sopers Lane RG7 4NN \| RG7 4NP \| RG7 4NR	2	£1,580,000
9	Briff Lane RG7 6SH \| RG7 6SJ \| RG7 6SL \| RG7 6SN \| RG7 6SP \| RG7 6SR \| RG7 6SS \| RG7 6ST	3	£1,535,750
10	Hartley Court Road RG7 1NH \| RG7 1NJ \| RG7 1NS	4	£1,531,250

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Frouds Lane RG7 4LG \| RG7 4LH \| RG7 4LQ	1	£55,000
2	Andrews Close RG7 5BH	13	£110,338
3	Jouldings Lane RG7 1UR	1	£145,000
4	Tayberry Grove RG7 3WT	1	£170,000
5	Congreve Close RG7 4LU	1	£172,000
6	Calleva Park RG7 8AA \| RG7 8AN \| RG7 8AP \| RG7 8AR \| RG7 8DA \| RG7 8DN \| RG7 8EA \| RG7 8EN \| RG7 8HA \| RG7 8HN \| RG7 8JA \| RG7 8JN \| RG7 8LA \| RG7 8LN \| RG7 8NA \| RG7 8NE \| RG7 8NN \| RG7 8PA \| RG7 8PB \| RG7 8PD \| RG7 8PN \| RG7 8RA \| RG7 8RN \| RG7 8SA \| RG7 8SN \| RG7 8TA \| RG7 8TN \| RG7 8UA \| RG7 8UB	33	£175,754
7	Glenapp Grange RG7 3FJ	6	£179,916
8	Hunters Hill RG7 3HL \| RG7 3HN	6	£189,950
9	Great Lea Terrace RG7 1PB	5	£199,800
10	Bucklebury Place RG7 5UD	2	£202,500

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.