88 Sir Bernard Lovell Road

    88, SIR BERNARD LOVELL ROAD, MALMESBURY, SN16 9FQ

    This flat/maisonette leasehold property on Sir Bernard Lovell Road last sold in November 2014 for £124,000. Based on price growth in the SN16 district since then, its estimated current value is £144,177 — placing it in the 11th percentile nationally and the 2nd percentile within SN16. The property covers 72 m² (775 sq ft), giving an estimated value of £2,002 per m². The EPC rating is D, with a potential rating of B.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    775 sq ft

    72 m²

    Last Sale Price

    £124,000

    Nov 2014

    Estimated Valuation

    £144,177

    Est. £/sq ft

    £186/sq ft

    £2,002/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 2007-2011
    Habitable rooms3
    Main fuelelectricity (not community)
    EPC currentD
    EPC potentialB
    Floor area775 sq ft (72 m²)
    EPC dateNov 2018
    WallsCavity wall, as built, insulated (assumed)
    HeatingRoom heaters, electric

    Transaction History

    21 Nov 2014

    £124,000

    21 Aug 2009

    New build

    £83,000

    Key Metrics

    Estimated valuation£144,177
    Value per sq ft / m²£186/sq ft (£2,002/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SN16 district percentile2nd percentile
    National percentile11th percentile

    District Context — SN16

    SN16 covers Wootton Bassett and the surrounding areas in north Wiltshire, between Swindon and Chippenham. It is a residential district with a blend of established suburban character and rural connectivity.

    Average Property Price - SN16

    £478,479

    78

    National percentile

    Average Net Household Income - SN16

    £48,449

    85

    National percentile

    10-Year Annualised Price Growth - SN16

    2.8%

    21

    National percentile

    10-Year Annualised Rent Growth - SN

    3.9%

    52

    National percentile

    View full analysis for SN16

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