38 Bramleys

    38, BRAMLEYS, STANFORD-LE-HOPE, SS17 8AE

    This semi-detached freehold property on Bramleys last sold in November 2025 for £550,000. Based on price growth in the SS17 district since then, its estimated current value is £550,000 — placing it in the 83rd percentile nationally and the 92nd percentile within SS17. The property covers 175 m² (1,884 sq ft), giving an estimated value of £3,143 per m². The EPC rating is C, with a potential rating of C.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    1,884 sq ft

    175 m²

    Last Sale Price

    £550,000

    Nov 2025

    Estimated Valuation

    £550,000

    Est. £/sq ft

    £292/sq ft

    £3,143/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms9
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialC
    Floor area1,884 sq ft (175 m²)
    EPC dateSept 2025
    WallsCavity wall, filled cavity
    HeatingBoiler and radiators, mains gas

    Transaction History

    28 Nov 2025

    £550,000

    22 Oct 2004

    £242,000

    13 Sept 2001

    £79,000

    Key Metrics

    Estimated valuation£550,000
    Value per sq ft / m²£292/sq ft (£3,143/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile92nd percentile
    National percentile83rd 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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