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Most and least expensive streets

Margate, CT9

Margate, CT9 has a total of 493 streets. The most expensive street in CT9 is St. Peters Road, with an average sale price of £2,764,415. The least expensive street in CT9 is Percy Road, with an average sale price of £44,000.

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Most expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	St. Peters Road CT9 1TF \| CT9 1TH \| CT9 1TJ \| CT9 4AB \| CT9 4AG \| CT9 4AL \| CT9 4AN \| CT9 4AQ \| CT9 4HJ	18	£2,764,415
2	Westwood Industrial Estate CT9 4JA \| CT9 4JG \| CT9 4JL \| CT9 4JP \| CT9 4JR \| CT9 4JS	3	£914,809
3	Westcliff Road CT9 5DH \| CT9 5DN	9	£655,836
4	Cecil Street CT9 1AY \| CT9 1NX \| CT9 1RE \| CT9 9ZZ	1	£625,000
5	Nash Road CT9 4BT \| CT9 4BU \| CT9 4BX \| CT9 4LA \| CT9 4LB \| CT9 4LD	10	£590,250
6	Trinity Square CT9 1HA \| CT9 1HP \| CT9 1HR \| CT9 1HS \| CT9 1HT \| CT9 1HU \| CT9 1JH \| CT9 1LZ \| CT9 1QD \| CT9 1QY	63	£589,121
7	Barnes Avenue CT9 5EQ	8	£581,188
8	Northdown Park Road CT9 2NB \| CT9 2ND \| CT9 2NH \| CT9 2TH \| CT9 2TP \| CT9 2TR \| CT9 2TU \| CT9 2TW \| CT9 3LN \| CT9 3PT \| CT9 3PU \| CT9 3PX \| CT9 3PY \| CT9 3UJ	32	£580,461
9	Knold Park CT9 3BH	1	£580,000
10	Pembroke Avenue CT9 5EA	5	£569,300

Least expensive streets

Rank	Street	Transactions (Past 5 years)	Average price
1	Percy Road CT9 2DR \| CT9 2DT	1	£44,000
2	Charlotte Place CT9 1LP	2	£47,000
3	Cobbs Place CT9 1JE \| CT9 1JF	18	£60,786
4	Churchfields CT9 1LS \| CT9 1PA	1	£87,000
5	Airedale Close CT9 2SZ	1	£87,000
6	Hinchliffe Way CT9 3XF	1	£87,100
7	Queens Parade CT9 2DS \| CT9 2GA \| CT9 2GB	18	£93,229
8	Cliftonville Mews CT9 2DZ	1	£97,500
9	Appledore Close CT9 3RG \| CT9 3RH \| CT9 3RJ	1	£100,000
10	Athelstan Road CT9 2BA \| CT9 2BB \| CT9 2BD \| CT9 2BE \| CT9 2BF \| CT9 2BG \| CT9 2BH \| CT9 2FJ \| CT9 2FN	39	£104,193

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.