23 Witchards

    23, WITCHARDS, BASILDON, SS16 5BG

    This flat/maisonette leasehold property on Witchards last sold in June 2016 for £139,000. Based on price growth in the SS16 district since then, its estimated current value is £174,630 — placing it in the 18th percentile nationally and the 7th percentile within SS16. The property covers 46 m² (495 sq ft), giving an estimated value of £3,796 per m². The EPC rating is D, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    495 sq ft

    46 m²

    Last Sale Price

    £139,000

    Jun 2016

    Estimated Valuation

    £174,630

    Est. £/sq ft

    £353/sq ft

    £3,796/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 1976-1982
    Habitable rooms2
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialC
    Floor area495 sq ft (46 m²)
    EPC dateApr 2023
    WallsCavity wall, filled cavity
    HeatingBoiler and radiators, mains gas

    Transaction History

    3 Jun 2016

    £139,000

    12 May 2006

    £103,000

    10 Oct 2003

    £79,995

    23 Oct 2000

    £47,000

    18 Feb 2000

    £38,850

    Key Metrics

    Estimated valuation£174,630
    Value per sq ft / m²£353/sq ft (£3,796/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile7th percentile
    National percentile18th 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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