48 Mount Nod Road

    48, MOUNT NOD ROAD, LONDON, SW16 2LL

    This flat/maisonette leasehold property on Mount Nod Road last sold in September 2021 for £535,000. Based on price growth in the SW16 district since then, its estimated current value is £518,392 — placing it in the 80th percentile nationally and the 52nd percentile within SW16. The property covers 65 m² (700 sq ft), giving an estimated value of £7,975 per m². The EPC rating is D, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    700 sq ft

    65 m²

    Last Sale Price

    £535,000

    Sept 2021

    Estimated Valuation

    £518,392

    Est. £/sq ft

    £741/sq ft

    £7,975/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1900-1929
    Habitable rooms3
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialC
    Floor area700 sq ft (65 m²)
    EPC dateMar 2018
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    28 Sept 2021

    £535,000

    14 Nov 2008

    £226,000

    Key Metrics

    Estimated valuation£518,392
    Value per sq ft / m²£741/sq ft (£7,975/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SW16 district percentile52nd percentile
    National percentile80th percentile

    District Context — SW16

    SW16 covers Streatham and surrounding areas in south London, positioned between Wandsworth and Croydon. It is a diverse, densely populated neighbourhood with strong rental demand and a youthful, professional demographic.

    Average Property Price - SW16

    £539,923

    85

    National percentile

    Average Net Household Income - SW16

    £53,026

    93

    National percentile

    10-Year Annualised Price Growth - SW16

    2.3%

    13

    National percentile

    10-Year Annualised Rent Growth - SW

    3.2%

    11

    National percentile

    View full analysis for SW16

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