Bungalow Bells Hill Road

    BUNGALOW, BELLS HILL ROAD, VANGE, BASILDON, SS16 5JT

    This detached freehold property on Bells Hill Road last sold in November 2020 for £802,500. Based on price growth in the SS16 district since then, its estimated current value is £870,777 — placing it in the 94th percentile nationally and the 98th percentile within SS16. The property covers 165 m² (1,776 sq ft), giving an estimated value of £5,277 per m². The EPC rating is D, with a potential rating of A.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,776 sq ft

    165 m²

    Last Sale Price

    £802,500

    Nov 2020

    Estimated Valuation

    £870,777

    Est. £/sq ft

    £490/sq ft

    £5,277/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 1950-1966
    Habitable rooms5
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialA
    Floor area1,776 sq ft (165 m²)
    EPC dateMay 2020
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    26 Nov 2020

    £802,500

    19 Dec 2011

    £367,500

    20 Jun 1997

    £135,000

    Key Metrics

    Estimated valuation£870,777
    Value per sq ft / m²£490/sq ft (£5,277/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile98th percentile
    National percentile94th 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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