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Most and least expensive streets

St. Albans, AL1

St. Albans, AL1 has a total of 303 streets. The most expensive street in AL1 is Griffiths Way, with an average sale price of £4,736,066. The least expensive street in AL1 is The Maltings, with an average sale price of £143,333.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Griffiths Way AL1 2RD \| AL1 2RE \| AL1 2RJ	2	£4,736,066
2	Grosvenor Road AL1 3AE \| AL1 3AW \| AL1 3BU \| AL1 3BX \| AL1 3BY \| AL1 3BZ	12	£3,163,137
3	Cunningham Hill Road AL1 5BX \| AL1 5BY	7	£2,087,429
4	York Road AL1 4PL	3	£1,960,000
5	Marshals Drive AL1 4QZ \| AL1 4RA \| AL1 4RB \| AL1 4RD \| AL1 4RE \| AL1 4RF \| AL1 4RG \| AL1 4RH \| AL1 4RQ	16	£1,924,458
6	Pondwicks Close AL1 1DG	2	£1,883,338
7	Townsend Avenue AL1 3SH \| AL1 3SJ \| AL1 3SL \| AL1 3SW	1	£1,850,000
8	St. Peters Close AL1 3ES	1	£1,780,000
9	Victoria Street AL1 3ER \| AL1 3HZ \| AL1 3JB \| AL1 3JD \| AL1 3JG \| AL1 3JJ \| AL1 3SE \| AL1 3SN \| AL1 3SY \| AL1 3TA \| AL1 3TB \| AL1 3TE \| AL1 3TF \| AL1 3TG \| AL1 3TJ \| AL1 3TL \| AL1 3TT \| AL1 3TW \| AL1 3UB \| AL1 3UH \| AL1 3WZ \| AL1 3XH \| AL1 3XS \| AL1 3XX \| AL1 3YS \| AL1 5HD	55	£1,779,191
10	Homewood Road AL1 4BE \| AL1 4BG \| AL1 4BH \| AL1 4BQ	6	£1,662,444

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	The Maltings AL1 3HL \| AL1 3HS \| AL1 3HT \| AL1 3HU \| AL1 3JQ	3	£143,333
2	Gordon Close AL1 5RQ	1	£179,000
3	Mountbatten Close AL1 5AX	5	£219,220
4	Abbots Avenue AL1 2HX \| AL1 2HY	1	£225,000
5	Riverside Close AL1 1SG	3	£229,657
6	Deacon Close AL1 2LJ	2	£240,000
7	Burnside AL1 5RP \| AL1 5RR \| AL1 5RS \| AL1 5RT	3	£241,250
8	Half Moon Mews AL1 3LZ	1	£241,500
9	Cecil Road AL1 5EG	2	£247,500
10	Grindcobbe AL1 2ED	1	£250,000

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.