Tarrens Perks Lane

    TARRENS, PERKS LANE, PRESTWOOD, GREAT MISSENDEN, HP16 0JD

    This detached freehold property on Perks Lane last sold in January 2024 for £712,000. Based on price growth in the HP16 district since then, its estimated current value is £798,841 — placing it in the 93rd percentile nationally and the 57th percentile within HP16. The property covers 145 m² (1,561 sq ft), giving an estimated value of £5,509 per m². The EPC rating is C, with a potential rating of B.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,561 sq ft

    145 m²

    Last Sale Price

    £712,000

    Jan 2024

    Estimated Valuation

    £798,841

    Est. £/sq ft

    £512/sq ft

    £5,509/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 1930-1949
    Habitable rooms6
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area1,561 sq ft (145 m²)
    EPC dateSept 2022
    WallsCavity wall, filled cavity
    HeatingBoiler and radiators, mains gas

    Transaction History

    24 Jan 2024

    £712,000

    Key Metrics

    Estimated valuation£798,841
    Value per sq ft / m²£512/sq ft (£5,509/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    HP16 district percentile57th percentile
    National percentile93rd percentile

    District Context — HP16

    HP16 covers the villages and rural areas around Marlow in Buckinghamshire, situated in the Thames Valley between London and Reading. It is an affluent, well-established residential district with strong appeal to families and retirees seeking countryside living with good transport links.

    Average Property Price - HP16

    £761,115

    95

    National percentile

    Average Net Household Income - HP16

    £54,954

    95

    National percentile

    10-Year Annualised Price Growth - HP16

    2.9%

    25

    National percentile

    10-Year Annualised Rent Growth - HP

    3.7%

    43

    National percentile

    View full analysis for HP16

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