Timoshan South Avenue

    TIMOSHAN, SOUTH AVENUE, LANGDON HILLS, BASILDON, SS16 6JG

    This detached freehold property on South Avenue last sold in November 2025 for £1,200,000. Based on price growth in the SS16 district since then, its estimated current value is £1,200,000 — placing it in the 97th percentile nationally and the 100th percentile within SS16. The property covers 198 m² (2,131 sq ft), giving an estimated value of £6,061 per m². The EPC rating is D, with a potential rating of A.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    2,131 sq ft

    198 m²

    Last Sale Price

    £1,200,000

    Nov 2025

    Estimated Valuation

    £1,200,000

    Est. £/sq ft

    £563/sq ft

    £6,061/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 1976-1982
    Habitable rooms7
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialA
    Floor area2,131 sq ft (198 m²)
    EPC dateNov 2022
    WallsCavity wall, as built, partial insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    17 Nov 2025

    £1,200,000

    4 Sept 2009

    £485,000

    Key Metrics

    Estimated valuation£1,200,000
    Value per sq ft / m²£563/sq ft (£6,061/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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