96 St Margarets Avenue

    96, ST MARGARETS AVENUE, STANFORD-LE-HOPE, SS17 0EW

    This terraced freehold property on St Margarets Avenue last sold in November 2015 for £202,000. Based on price growth in the SS17 district since then, its estimated current value is £309,798 — placing it in the 51st percentile nationally and the 21st percentile within SS17. The property covers 79 m² (850 sq ft), giving an estimated value of £3,921 per m². The EPC rating is C, with a potential rating of B.

    Type

    Terraced

    Tenure

    Freehold

    Floor Area

    850 sq ft

    79 m²

    Last Sale Price

    £202,000

    Nov 2015

    Estimated Valuation

    £309,798

    Est. £/sq ft

    £364/sq ft

    £3,921/m²

    Property Details

    TypeTerraced
    TenureFreehold
    Built formMid-Terrace
    Construction ageEngland and Wales: 1976-1982
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area850 sq ft (79 m²)
    EPC dateAug 2022
    WallsCavity wall, as built, partial insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    20 Nov 2015

    £202,000

    11 Jul 2003

    £124,000

    28 Jun 2000

    £70,000

    Key Metrics

    Estimated valuation£309,798
    Value per sq ft / m²£364/sq ft (£3,921/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile21st percentile
    National percentile51st 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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