31 Victoria Road

    31, VICTORIA ROAD, STANFORD-LE-HOPE, SS17 0JA

    This terraced freehold property on Victoria Road last sold in November 2022 for £430,000. Based on price growth in the SS17 district since then, its estimated current value is £420,920 — placing it in the 70th percentile nationally and the 72nd percentile within SS17. The property covers 122 m² (1,313 sq ft), giving an estimated value of £3,450 per m². The EPC rating is C, with a potential rating of B.

    Type

    Terraced

    Tenure

    Freehold

    Floor Area

    1,313 sq ft

    122 m²

    Last Sale Price

    £430,000

    Nov 2022

    Estimated Valuation

    £420,920

    Est. £/sq ft

    £321/sq ft

    £3,450/m²

    Property Details

    TypeTerraced
    TenureFreehold
    Built formMid-Terrace
    Construction ageEngland and Wales: 1996-2002
    Habitable rooms5
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area1,313 sq ft (122 m²)
    EPC dateMar 2022
    WallsTimber frame, as built, insulated (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    16 Nov 2022

    £430,000

    30 Nov 2001

    New build

    £152,000

    Key Metrics

    Estimated valuation£420,920
    Value per sq ft / m²£321/sq ft (£3,450/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile72nd percentile
    National percentile70th 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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