6 St Margarets Close

    6, ST MARGARETS CLOSE, NEWPORT PAGNELL, MK16 9EF

    This semi-detached freehold property on St Margarets Close last sold in January 2023 for £290,000. Based on price growth in the MK16 district since then, its estimated current value is £303,094 — placing it in the 50th percentile nationally and the 30th percentile within MK16. The property covers 76 m² (818 sq ft), giving an estimated value of £3,988 per m². The EPC rating is D, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    818 sq ft

    76 m²

    Last Sale Price

    £290,000

    Jan 2023

    Estimated Valuation

    £303,094

    Est. £/sq ft

    £370/sq ft

    £3,988/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialB
    Floor area818 sq ft (76 m²)
    EPC dateJan 2022
    WallsCavity wall, filled cavity
    HeatingBoiler and radiators, mains gas

    Transaction History

    20 Jan 2023

    £290,000

    9 May 2003

    £156,000

    Key Metrics

    Estimated valuation£303,094
    Value per sq ft / m²£370/sq ft (£3,988/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    MK16 district percentile30th percentile
    National percentile50th 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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