33 Scotts Avenue

    33, SCOTTS AVENUE, SUNBURY-ON-THAMES, TW16 7HY

    This detached freehold property on Scotts Avenue last sold in January 2019 for £670,000. Based on price growth in the TW16 district since then, its estimated current value is £874,617 — placing it in the 94th percentile nationally and the 88th percentile within TW16. The property covers 138 m² (1,485 sq ft), giving an estimated value of £6,338 per m². The EPC rating is E, with a potential rating of D.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,485 sq ft

    138 m²

    Last Sale Price

    £670,000

    Jan 2019

    Estimated Valuation

    £874,617

    Est. £/sq ft

    £589/sq ft

    £6,338/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 1930-1949
    Habitable rooms6
    Main fuelmains gas (not community)
    EPC currentE
    EPC potentialD
    Floor area1,485 sq ft (138 m²)
    EPC dateFeb 2018
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    18 Jan 2019

    £670,000

    Key Metrics

    Estimated valuation£874,617
    Value per sq ft / m²£589/sq ft (£6,338/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    TW16 district percentile88th percentile
    National percentile94th 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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