4 Failand Mews

    4, FAILAND MEWS, STANFORD-LE-HOPE, SS17 8BS

    This semi-detached freehold property on Failand Mews last sold in December 2013 for £211,000. Based on price growth in the SS17 district since then, its estimated current value is £388,538 — placing it in the 66th percentile nationally and the 60th percentile within SS17. The property covers 82 m² (883 sq ft), giving an estimated value of £4,738 per m². The EPC rating is C, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    883 sq ft

    82 m²

    Last Sale Price

    £211,000

    Dec 2013

    Estimated Valuation

    £388,538

    Est. £/sq ft

    £440/sq ft

    £4,738/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 2003-2006
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area883 sq ft (82 m²)
    EPC dateJun 2013
    WallsCavity wall, as built, insulated (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    19 Dec 2013

    £211,000

    18 Jul 2011

    £194,000

    26 Aug 2004

    New build

    £205,000

    Key Metrics

    Estimated valuation£388,538
    Value per sq ft / m²£440/sq ft (£4,738/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile60th 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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