272 Great Gregorie

    272, GREAT GREGORIE, BASILDON, SS16 5QU

    This semi-detached freehold property on Great Gregorie last sold in November 2024 for £349,000. Based on price growth in the SS16 district since then, its estimated current value is £320,841 — placing it in the 54th percentile nationally and the 41st percentile within SS16. The property covers 65 m² (700 sq ft), giving an estimated value of £4,936 per m². The EPC rating is C, with a potential rating of B.

    Type

    Semi-Detached

    Tenure

    Freehold

    Floor Area

    700 sq ft

    65 m²

    Last Sale Price

    £349,000

    Nov 2024

    Estimated Valuation

    £320,841

    Est. £/sq ft

    £459/sq ft

    £4,936/m²

    Property Details

    TypeSemi-Detached
    TenureFreehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 1950-1966
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialB
    Floor area700 sq ft (65 m²)
    EPC dateJun 2020
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    1 Nov 2024

    £349,000

    11 Sept 2020

    £277,000

    6 Aug 2010

    £154,000

    2 Apr 2007

    £166,995

    Key Metrics

    Estimated valuation£320,841
    Value per sq ft / m²£459/sq ft (£4,936/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile41st percentile
    National percentile54th percentile

    District Context — SS16

    SS16 covers areas in Essex, located in the south of the postcode area. It is a residential district with a mixed character, combining suburban neighbourhoods with established communities.

    Average Property Price - SS16

    £383,176

    63

    National percentile

    Average Net Household Income - SS16

    £43,792

    72

    National percentile

    10-Year Annualised Price Growth - SS16

    5.7%

    95

    National percentile

    10-Year Annualised Rent Growth - SS

    3.9%

    53

    National percentile

    View full analysis for SS16

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