Flat 1 73 Mount Nod Road

    FLAT 1 73, MOUNT NOD ROAD, LONDON, SW16 2LJ

    This flat/maisonette leasehold property on Mount Nod Road last sold in September 2021 for £639,000. Based on price growth in the SW16 district since then, its estimated current value is £619,163 — placing it in the 87th percentile nationally and the 68th percentile within SW16. The property covers 91 m² (980 sq ft), giving an estimated value of £6,804 per m². The EPC rating is C, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    980 sq ft

    91 m²

    Last Sale Price

    £639,000

    Sept 2021

    Estimated Valuation

    £619,163

    Est. £/sq ft

    £632/sq ft

    £6,804/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 1900-1929
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialC
    Floor area980 sq ft (91 m²)
    EPC dateJul 2021
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    17 Sept 2021

    £639,000

    2 Sept 2014

    £400,111

    Key Metrics

    Estimated valuation£619,163
    Value per sq ft / m²£632/sq ft (£6,804/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SW16 district percentile68th percentile
    National percentile87th 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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