32 Scotts Avenue

    32, SCOTTS AVENUE, SUNBURY-ON-THAMES, TW16 7JG

    This detached freehold property on Scotts Avenue last sold in September 2020 for £500,000. Based on price growth in the TW16 district since then, its estimated current value is £588,913 — placing it in the 85th percentile nationally and the 65th percentile within TW16. The property covers 103 m² (1,109 sq ft), giving an estimated value of £5,718 per m². The EPC rating is F, with a potential rating of C.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,109 sq ft

    103 m²

    Last Sale Price

    £500,000

    Sept 2020

    Estimated Valuation

    £588,913

    Est. £/sq ft

    £531/sq ft

    £5,718/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 1930-1949
    Habitable rooms5
    Main fuelelectricity (not community)
    EPC currentF
    EPC potentialC
    Floor area1,109 sq ft (103 m²)
    EPC dateJul 2019
    WallsSolid brick, as built, no insulation (assumed)
    HeatingElectric storage heaters

    Transaction History

    22 Sept 2020

    £500,000

    Key Metrics

    Estimated valuation£588,913
    Value per sq ft / m²£531/sq ft (£5,718/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    TW16 district percentile65th percentile
    National percentile85th percentile

    District Context — TW16

    TW16 covers Sunbury and the surrounding areas in southwest London, positioned between the Thames and the M3 corridor. It is a residential neighbourhood with strong family appeal, characterised by tree-lined streets, good transport links, and a mix of period and modern properties.

    Average Property Price - TW16

    £553,102

    86

    National percentile

    Average Net Household Income - TW16

    £48,015

    84

    National percentile

    10-Year Annualised Price Growth - TW16

    3.8%

    58

    National percentile

    10-Year Annualised Rent Growth - TW

    3.0%

    5

    National percentile

    View full analysis for TW16

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