18 Seaview Avenue

    18, SEAVIEW AVENUE, BASILDON, SS16 4QZ

    This flat/maisonette leasehold property on Seaview Avenue last sold in October 2022 for £218,000. Based on price growth in the SS16 district since then, its estimated current value is £231,936 — placing it in the 33rd percentile nationally and the 17th percentile within SS16. The property covers 51 m² (549 sq ft), giving an estimated value of £4,548 per m². The EPC rating is D, with a potential rating of D.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    549 sq ft

    51 m²

    Last Sale Price

    £218,000

    Oct 2022

    Estimated Valuation

    £231,936

    Est. £/sq ft

    £423/sq ft

    £4,548/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 1991-1995
    Habitable rooms3
    Main fuelelectricity (not community)
    EPC currentD
    EPC potentialD
    Floor area549 sq ft (51 m²)
    EPC dateMay 2022
    WallsCavity wall, as built, insulated (assumed)
    HeatingElectric storage heaters

    Transaction History

    21 Oct 2022

    £218,000

    9 Mar 2018

    £176,500

    23 Aug 2004

    £119,000

    Key Metrics

    Estimated valuation£231,936
    Value per sq ft / m²£423/sq ft (£4,548/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile17th percentile
    National percentile33rd 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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