2 Parkside Fort William Road

    2 PARKSIDE, FORT WILLIAM ROAD, VANGE, BASILDON, SS16 5JX

    This semi-detached freehold property on Fort William Road last sold in June 2021 for £406,000. Based on price growth in the SS16 district since then, its estimated current value is £405,716 — placing it in the 68th percentile nationally and the 64th percentile within SS16. The property covers 174 m² (1,873 sq ft), giving an estimated value of £2,332 per m². The EPC rating is E, with a potential rating of D.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    1,873 sq ft

    174 m²

    Last Sale Price

    £406,000

    Jun 2021

    Estimated Valuation

    £405,716

    Est. £/sq ft

    £217/sq ft

    £2,332/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageA
    Habitable rooms6
    Main fuelmains gas (not community)
    EPC currentE
    EPC potentialD
    Floor area1,873 sq ft (174 m²)
    EPC dateJul 2013
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    30 Jun 2021

    £406,000

    18 Nov 2010

    £308,000

    17 Dec 2009

    £300,000

    Key Metrics

    Estimated valuation£405,716
    Value per sq ft / m²£217/sq ft (£2,332/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile64th percentile
    National percentile68th 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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