30 Mid Colne

    30, MID COLNE, BASILDON, SS16 4DH

    This terraced freehold property on Mid Colne last sold in September 2022 for £333,000. Based on price growth in the SS16 district since then, its estimated current value is £331,283 — placing it in the 56th percentile nationally and the 45th percentile within SS16. The property covers 64 m² (689 sq ft), giving an estimated value of £5,176 per m². The EPC rating is D, with a potential rating of C.

    Type

    Terraced

    Tenure

    Freehold

    Floor Area

    689 sq ft

    64 m²

    Last Sale Price

    £333,000

    Sept 2022

    Estimated Valuation

    £331,283

    Est. £/sq ft

    £481/sq ft

    £5,176/m²

    Property Details

    TypeTerraced
    TenureFreehold
    Built formEnd-Terrace
    Construction ageEngland and Wales: 1950-1966
    Habitable rooms3
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialC
    Floor area689 sq ft (64 m²)
    EPC dateJan 2019
    WallsCavity wall, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    30 Sept 2022

    £333,000

    13 Aug 2019

    £222,500

    1 Jun 2012

    £132,000

    30 Mar 2001

    £72,000

    11 Aug 2000

    £59,995

    Key Metrics

    Estimated valuation£331,283
    Value per sq ft / m²£481/sq ft (£5,176/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS16 district percentile45th percentile
    National percentile56th 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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