Post Office Cottage Minety Lane

    POST OFFICE COTTAGE, MINETY LANE, OAKSEY, MALMESBURY, SN16 9SY

    This semi-detached freehold property on Minety Lane last sold in June 1999 for £122,000. Based on price growth in the SN16 district since then, its estimated current value is £464,629 — placing it in the 75th percentile nationally and the 53rd percentile within SN16. The property covers 94 m² (1,012 sq ft), giving an estimated value of £4,943 per m². The EPC rating is F, with a potential rating of D.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    1,012 sq ft

    94 m²

    Last Sale Price

    £122,000

    Jun 1999

    Estimated Valuation

    £464,629

    Est. £/sq ft

    £459/sq ft

    £4,943/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageA
    Habitable rooms4
    Main fueloil (not community)
    EPC currentF
    EPC potentialD
    Floor area1,012 sq ft (94 m²)
    EPC dateOct 2016
    WallsSandstone or limestone, as built, no insulation (assumed)
    HeatingBoiler and radiators, oil, Electric underfloor heating

    Transaction History

    24 Jun 1999

    £122,000

    1 Sept 1995

    £92,000

    Key Metrics

    Estimated valuation£464,629
    Value per sq ft / m²£459/sq ft (£4,943/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SN16 district percentile53rd percentile
    National percentile75th 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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