22 Gladstone Close

    22, GLADSTONE CLOSE, NEWPORT PAGNELL, MK16 0EU

    This detached freehold property on Gladstone Close last sold in June 2009 for £258,000. Based on price growth in the MK16 district since then, its estimated current value is £537,246 — placing it in the 82nd percentile nationally and the 81st percentile within MK16. The property covers 158 m² (1,701 sq ft), giving an estimated value of £3,400 per m². The EPC rating is E, with a potential rating of C.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,701 sq ft

    158 m²

    Last Sale Price

    £258,000

    Jun 2009

    Estimated Valuation

    £537,246

    Est. £/sq ft

    £316/sq ft

    £3,400/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms5
    Main fuelmains gas (not community)
    EPC currentE
    EPC potentialC
    Floor area1,701 sq ft (158 m²)
    EPC dateNov 2013
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    30 Jun 2009

    £258,000

    26 Aug 2005

    £234,500

    Key Metrics

    Estimated valuation£537,246
    Value per sq ft / m²£316/sq ft (£3,400/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    MK16 district percentile81st percentile
    National percentile82nd percentile

    District Context — MK16

    MK16 covers the rural and semi-rural areas north of Milton Keynes, including villages and commuter neighbourhoods within the wider MK postcode district. It offers a quieter, family-oriented character with good access to larger employment centres.

    Average Property Price - MK16

    £398,865

    66

    National percentile

    Average Net Household Income - MK16

    £44,758

    75

    National percentile

    10-Year Annualised Price Growth - MK16

    3.8%

    58

    National percentile

    10-Year Annualised Rent Growth - MK

    4.3%

    74

    National percentile

    View full analysis for MK16

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