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Most and least expensive streets

Birmingham, b26

Birmingham, b26 has a total of 216 streets. The most expensive street in b26 is Airport Cargo, with an average sale price of £17,230,000. The least expensive street in b26 is Fleetwood Grove, with an average sale price of £73,333.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Airport Cargo B26 3QD \| B26 3QN	1	£17,230,000
2	Hatchford Way B26 3RZ	2	£14,516,913
3	Wagon Lane B26 3DU	1	£2,408,400
4	Charles Edward Road B26 1BT \| B26 1BU	9	£1,710,894
5	Coventry Road B26 1AA \| B26 1AB \| B26 1AD \| B26 1AL \| B26 1AN \| B26 1AW \| B26 1BG \| B26 1DD \| B26 1DG \| B26 1DR \| B26 1DS \| B26 1DT \| B26 1JP \| B26 1PA \| B26 1PB \| B26 3DY \| B26 3EA \| B26 3EG \| B26 3EH \| B26 3EU \| B26 3EW \| B26 3HH \| B26 3HJ \| B26 3HN \| B26 3HP \| B26 3JA \| B26 3JB \| B26 3JE \| B26 3JG \| B26 3JH \| B26 3JJ \| B26 3JR \| B26 3JS \| B26 3JW \| B26 3LS \| B26 3NJ \| B26 3NL \| B26 3NR \| B26 3NW \| B26 3NX \| B26 3PD \| B26 3PG \| B26 3PN \| B26 3PP \| B26 3PX \| B26 3PY \| B26 3QR \| B26 3QS \| B26 3YU	132	£1,114,538
6	Broadstone Road B26 2BL \| B26 2BN \| B26 2BY	10	£899,619
7	Rowlands Road B26 1AS \| B26 1AT	9	£298,417
8	Kingfisher Close B26 2QF	6	£290,750
9	Bramble Drive B26 2QQ	2	£288,750
10	Ragley Drive B26 3TU	4	£273,750

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Fleetwood Grove B26 2DN	3	£73,333
2	Lowden Croft B26 1EW	2	£84,250
3	Greenvale Avenue B26 3XH \| B26 3XJ \| B26 3XL \| B26 3XN \| B26 3XW	6	£86,167
4	Hadyn Grove B26 3DG	2	£89,000
5	Westley Brook Close B26 3TW	4	£92,656
6	Somerland Road B26 2ER	1	£95,000
7	Selby Close B26 2AP \| B26 2AR	16	£98,262
8	Langdon Walk B26 1EL	4	£98,500
9	Wychwood Crescent B26 1LX \| B26 1LY \| B26 1LZ	5	£101,063
10	The Farriers B26 3HG	2	£110,500

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.