228 Branksome Avenue

    228, BRANKSOME AVENUE, STANFORD-LE-HOPE, SS17 8DQ

    This semi-detached freehold property on Branksome Avenue last sold in February 2015 for £315,000. Based on price growth in the SS17 district since then, its estimated current value is £470,855 — placing it in the 76th percentile nationally and the 84th percentile within SS17. The property covers 130 m² (1,399 sq ft), giving an estimated value of £3,622 per m². The EPC rating is F, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    1,399 sq ft

    130 m²

    Last Sale Price

    £315,000

    Feb 2015

    Estimated Valuation

    £470,855

    Est. £/sq ft

    £336/sq ft

    £3,622/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms6
    Main fuelmains gas (not community)
    EPC currentF
    EPC potentialB
    Floor area1,399 sq ft (130 m²)
    EPC dateJul 2012
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    10 Feb 2015

    £315,000

    31 Jul 2013

    £249,000

    Key Metrics

    Estimated valuation£470,855
    Value per sq ft / m²£336/sq ft (£3,622/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile84th percentile
    National percentile76th percentile

    District Context — SS17

    SS17 covers central Southend-on-Sea and its immediate surroundings, positioned on the Essex coast. The area combines residential neighbourhoods with proximity to the town's commercial and leisure facilities.

    Average Property Price - SS17

    £375,084

    62

    National percentile

    Average Net Household Income - SS17

    £42,922

    69

    National percentile

    10-Year Annualised Price Growth - SS17

    4.3%

    74

    National percentile

    10-Year Annualised Rent Growth - SS

    3.9%

    53

    National percentile

    View full analysis for SS17

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