39 Sparrows Herne

    39, SPARROWS HERNE, BASILDON, SS16 5HW

    This semi-detached freehold property on Sparrows Herne last sold in August 2016 for £370,000. Based on price growth in the SS16 district since then, its estimated current value is £464,402 — placing it in the 75th percentile nationally and the 73rd percentile within SS16. The property covers 99 m² (1,066 sq ft), giving an estimated value of £4,691 per m². The EPC rating is D, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    1,066 sq ft

    99 m²

    Last Sale Price

    £370,000

    Aug 2016

    Estimated Valuation

    £464,402

    Est. £/sq ft

    £436/sq ft

    £4,691/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms5
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialB
    Floor area1,066 sq ft (99 m²)
    EPC dateOct 2015
    WallsCavity wall, filled cavity
    HeatingBoiler and radiators, mains gas

    Transaction History

    26 Aug 2016

    £370,000

    20 Nov 2009

    £279,995

    8 Sept 2006

    £247,000

    24 Oct 2004

    £225,000

    Key Metrics

    Estimated valuation£464,402
    Value per sq ft / m²£436/sq ft (£4,691/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile73rd percentile
    National percentile75th 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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