6 Valmar Avenue

    6, VALMAR AVENUE, STANFORD-LE-HOPE, STANFORD-LE-HOPE, SS17 0NF

    This semi-detached freehold property on Valmar Avenue last sold in January 2004 for £187,500. Based on price growth in the SS17 district since then, its estimated current value is £390,029 — placing it in the 66th percentile nationally and the 61st percentile within SS17. The property covers 93 m² (1,001 sq ft), giving an estimated value of £4,194 per m². The EPC rating is D, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    1,001 sq ft

    93 m²

    Last Sale Price

    £187,500

    Jan 2004

    Estimated Valuation

    £390,029

    Est. £/sq ft

    £390/sq ft

    £4,194/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1950-1966
    Habitable rooms6
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialB
    Floor area1,001 sq ft (93 m²)
    EPC dateNov 2023
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    8 Jan 2004

    £187,500

    15 Dec 1995

    £48,500

    Key Metrics

    Estimated valuation£390,029
    Value per sq ft / m²£390/sq ft (£4,194/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile61st percentile
    National percentile66th 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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