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Most and least expensive streets

Banstead, SM7

Banstead, SM7 has a total of 192 streets. The most expensive street in SM7 is Bolters Lane, with an average sale price of £1,815,948. The least expensive street in SM7 is Garton Bank, with an average sale price of £196,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Bolters Lane SM7 2AB \| SM7 2AD \| SM7 2AE \| SM7 2AF \| SM7 2AJ \| SM7 2AR \| SM7 2AU \| SM7 2AW	18	£1,815,948
2	Park Road SM7 3AJ \| SM7 3BS \| SM7 3BT \| SM7 3BY \| SM7 3DH \| SM7 3DL \| SM7 3DN \| SM7 3DS \| SM7 3DZ \| SM7 3EE \| SM7 3EF \| SM7 3EH \| SM7 3EL \| SM7 3ER	15	£1,416,230
3	Holly Lane SM7 2AX \| SM7 2AY \| SM7 2BF \| SM7 2BY	4	£1,370,833
4	Cuddington Park Close SM7 1RF	2	£1,227,500
5	Higher Drive SM7 1PF \| SM7 1PL \| SM7 1PQ \| SM7 1PS \| SM7 1PW	10	£1,224,375
6	High Street SM7 2JA \| SM7 2LJ \| SM7 2LQ \| SM7 2LS \| SM7 2LU \| SM7 2LX \| SM7 2NB \| SM7 2NE \| SM7 2NG \| SM7 2NH \| SM7 2NL \| SM7 2NN \| SM7 2NP \| SM7 2NR \| SM7 2NS \| SM7 2NT \| SM7 2NU \| SM7 2NY \| SM7 2NZ	53	£1,197,857
7	Stag Leys Close SM7 3AH	2	£1,110,000
8	Mellow Close SM7 3QR	3	£1,064,667
9	The Drive SM7 1DA \| SM7 1DB \| SM7 1DF \| SM7 1DG \| SM7 1DN \| SM7 1DQ	8	£1,005,486
10	White Oaks SM7 3SA	3	£986,667

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Garton Bank SM7 2HA	3	£196,000
2	Eastgate SM7 1RN \| SM7 1RP \| SM7 1RW	11	£238,549
3	Pound Road SM7 2HS \| SM7 2HT \| SM7 2HU	11	£246,847
4	Lancaster Court SM7 1RR	6	£247,750
5	The Gables SM7 2HD	3	£256,167
6	Merrymeet SM7 3HS \| SM7 3HT \| SM7 3HX	10	£306,667
7	Lyme Regis Road SM7 2EU \| SM7 2EY \| SM7 2EZ \| SM7 2PT	16	£307,756
8	Dunnymans Road SM7 2AL \| SM7 2AN \| SM7 2BZ	12	£311,950
9	Cheviot Close SM7 2PD	7	£313,214
10	Magnolia Drive SM7 1AW \| SM7 1AY \| SM7 1BH \| SM7 1BJ	3	£321,563

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.