2 Naseby Close

    2, NASEBY CLOSE, NEWPORT PAGNELL, MK16 8DJ

    This semi-detached freehold property on Naseby Close last sold in June 2024 for £325,000. Based on price growth in the MK16 district since then, its estimated current value is £335,030 — placing it in the 56th percentile nationally and the 39th percentile within MK16. The property covers 83 m² (893 sq ft), giving an estimated value of £4,037 per m². The EPC rating is E, with a potential rating of C.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    893 sq ft

    83 m²

    Last Sale Price

    £325,000

    Jun 2024

    Estimated Valuation

    £335,030

    Est. £/sq ft

    £375/sq ft

    £4,037/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1950-1966
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentE
    EPC potentialC
    Floor area893 sq ft (83 m²)
    EPC dateOct 2014
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    14 Jun 2024

    £325,000

    22 Sept 2022

    £150,000

    Key Metrics

    Estimated valuation£335,030
    Value per sq ft / m²£375/sq ft (£4,037/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    MK16 district percentile39th percentile
    National percentile56th 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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