72 Gernons

    72, GERNONS, BASILDON, SS16 5TN

    This semi-detached freehold property on Gernons last sold in February 2025 for £315,000. Based on price growth in the SS16 district since then, its estimated current value is £315,000 — placing it in the 52nd percentile nationally and the 39th percentile within SS16. The property covers 69 m² (743 sq ft), giving an estimated value of £4,565 per m². The EPC rating is C, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    743 sq ft

    69 m²

    Last Sale Price

    £315,000

    Feb 2025

    Estimated Valuation

    £315,000

    Est. £/sq ft

    £424/sq ft

    £4,565/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formMid-Terrace
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms3
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area743 sq ft (69 m²)
    EPC dateSept 2024
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    28 Feb 2025

    £315,000

    14 Sept 2007

    £170,000

    25 Jul 2003

    £126,995

    31 Oct 2001

    £74,000

    Key Metrics

    Estimated valuation£315,000
    Value per sq ft / m²£424/sq ft (£4,565/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile39th percentile
    National percentile52nd 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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