The Paddocks Grays Avenue

    THE PADDOCKS, GRAYS AVENUE, LANGDON HILLS, BASILDON, SS16 5LP

    This detached freehold property on Grays Avenue last sold in February 2025 for £1,100,000. Based on price growth in the SS16 district since then, its estimated current value is £1,100,000 — placing it in the 97th percentile nationally and the 100th percentile within SS16. The property covers 175 m² (1,884 sq ft), giving an estimated value of £6,286 per m². The EPC rating is C, with a potential rating of B.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,884 sq ft

    175 m²

    Last Sale Price

    £1,100,000

    Feb 2025

    Estimated Valuation

    £1,100,000

    Est. £/sq ft

    £584/sq ft

    £6,286/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction age2014
    Habitable roomsNot available
    Main fuelElectricity: electricity, unspecified tariff
    EPC currentC
    EPC potentialB
    Floor area1,884 sq ft (175 m²)
    EPC dateSept 2018
    WallsAverage thermal transmittance 0.28 W/m²K
    HeatingAir source heat pump, underfloor, electric

    Transaction History

    10 Feb 2025

    £1,100,000

    17 Sept 2001

    £245,000

    Key Metrics

    Estimated valuation£1,100,000
    Value per sq ft / m²£584/sq ft (£6,286/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile100th percentile
    National percentile97th percentile

    District Context — SS16

    SS16 covers areas in Essex, located in the south of the postcode area. It is a residential district with a mixed character, combining suburban neighbourhoods with established communities.

    Average Property Price - SS16

    £383,176

    63

    National percentile

    Average Net Household Income - SS16

    £43,792

    72

    National percentile

    10-Year Annualised Price Growth - SS16

    5.7%

    95

    National percentile

    10-Year Annualised Rent Growth - SS

    3.9%

    53

    National percentile

    View full analysis for SS16

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