16 Runnymede Road

    16, RUNNYMEDE ROAD, STANFORD-LE-HOPE, SS17 0JY

    This flat/maisonette leasehold property on Runnymede Road last sold in November 2023 for £170,000. Based on price growth in the SS17 district since then, its estimated current value is £181,153 — placing it in the 20th percentile nationally and the 4th percentile within SS17. The property covers 36 m² (388 sq ft), giving an estimated value of £5,032 per m². The EPC rating is C, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    388 sq ft

    36 m²

    Last Sale Price

    £170,000

    Nov 2023

    Estimated Valuation

    £181,153

    Est. £/sq ft

    £467/sq ft

    £5,032/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1983-1990
    Habitable rooms2
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialC
    Floor area388 sq ft (36 m²)
    EPC dateNov 2022
    WallsCavity wall, as built, insulated (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    27 Nov 2023

    £170,000

    4 Mar 2005

    £110,000

    30 Mar 2001

    £54,000

    Key Metrics

    Estimated valuation£181,153
    Value per sq ft / m²£467/sq ft (£5,032/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS17 district percentile4th percentile
    National percentile20th 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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