3a Gladstone Villas London Road

    3A GLADSTONE VILLAS, LONDON ROAD, STANFORD-LE-HOPE, STANFORD-LE-HOPE, SS17 0LE

    This flat/maisonette leasehold property on London Road last sold in July 1998 for £36,000. Based on price growth in the SS17 district since then, its estimated current value is £196,382 — placing it in the 24th percentile nationally and the 5th percentile within SS17. The property covers 52 m² (560 sq ft), giving an estimated value of £3,777 per m². The EPC rating is C, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    560 sq ft

    52 m²

    Last Sale Price

    £36,000

    Jul 1998

    Estimated Valuation

    £196,382

    Est. £/sq ft

    £351/sq ft

    £3,777/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formNot Recorded
    Construction ageEngland and Wales: 1930-1949
    Habitable rooms3
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialC
    Floor area560 sq ft (52 m²)
    EPC dateNov 2025
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    31 Jul 1998

    £36,000

    Key Metrics

    Estimated valuation£196,382
    Value per sq ft / m²£351/sq ft (£3,777/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile5th percentile
    National percentile24th 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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