133 Gordon Road

    133, GORDON ROAD, STANFORD-LE-HOPE, SS17 7RQ

    This semi-detached freehold property on Gordon Road last sold in November 2018 for £259,000. Based on price growth in the SS17 district since then, its estimated current value is £316,010 — placing it in the 53rd percentile nationally and the 23rd percentile within SS17. The property covers 88 m² (947 sq ft), giving an estimated value of £3,591 per m². The EPC rating is D, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    947 sq ft

    88 m²

    Last Sale Price

    £259,000

    Nov 2018

    Estimated Valuation

    £316,010

    Est. £/sq ft

    £334/sq ft

    £3,591/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialB
    Floor area947 sq ft (88 m²)
    EPC dateMay 2018
    WallsCavity wall, filled cavity
    HeatingBoiler and radiators, mains gas

    Transaction History

    29 Nov 2018

    £259,000

    25 Aug 2006

    £160,000

    1 Dec 2000

    £84,500

    Key Metrics

    Estimated valuation£316,010
    Value per sq ft / m²£334/sq ft (£3,591/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile23rd percentile
    National percentile53rd 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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