Flat 4 67 Mount Nod Road

    FLAT 4 67, MOUNT NOD ROAD, LONDON, SW16 2LP

    This flat/maisonette leasehold property on Mount Nod Road last sold in September 2019 for £552,500. Based on price growth in the SW16 district since then, its estimated current value is £572,092 — placing it in the 84th percentile nationally and the 61st percentile within SW16. The property covers 99 m² (1,066 sq ft), giving an estimated value of £5,779 per m². The EPC rating is C, with a potential rating of B.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    1,066 sq ft

    99 m²

    Last Sale Price

    £552,500

    Sept 2019

    Estimated Valuation

    £572,092

    Est. £/sq ft

    £537/sq ft

    £5,779/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formEnclosed Mid-Terrace
    Construction ageEngland and Wales: 1900-1929
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area1,066 sq ft (99 m²)
    EPC dateJun 2019
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    20 Sept 2019

    £552,500

    Key Metrics

    Estimated valuation£572,092
    Value per sq ft / m²£537/sq ft (£5,779/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SW16 district percentile61st percentile
    National percentile84th 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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