114 Brunel Drive

    114, BRUNEL DRIVE, BIGGLESWADE, SG18 8BJ

    This detached freehold property on Brunel Drive last sold in June 2014 for £279,995. Based on price growth in the SG18 district since then, its estimated current value is £461,487 — placing it in the 75th percentile nationally and the 72nd percentile within SG18. The property covers 184 m² (1,981 sq ft), giving an estimated value of £2,508 per m². The EPC rating is C, with a potential rating of C.

    Type

    Detached

    Tenure

    Freehold

    Floor Area

    1,981 sq ft

    184 m²

    Last Sale Price

    £279,995

    Jun 2014

    Estimated Valuation

    £461,487

    Est. £/sq ft

    £233/sq ft

    £2,508/m²

    Property Details

    TypeDetached
    TenureFreehold
    Built formDetached
    Construction ageEngland and Wales: 2003-2006
    Habitable rooms7
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialC
    Floor area1,981 sq ft (184 m²)
    EPC dateMar 2014
    WallsCavity wall, as built, insulated (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    25 Jun 2014

    £279,995

    12 May 2006

    £250,000

    28 Mar 2003

    New build

    £209,995

    Key Metrics

    Estimated valuation£461,487
    Value per sq ft / m²£233/sq ft (£2,508/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SG18 district percentile72nd percentile
    National percentile75th percentile

    District Context — SG18

    SG18 covers Biggleswade and surrounding villages in central Bedfordshire, positioned between London and the Midlands. It is a mixed residential area with good transport links and a balance of suburban and rural character.

    Average Property Price - SG18

    £371,372

    61

    National percentile

    Average Net Household Income - SG18

    £46,000

    79

    National percentile

    10-Year Annualised Price Growth - SG18

    4.2%

    72

    National percentile

    10-Year Annualised Rent Growth - SG

    4.5%

    83

    National percentile

    View full analysis for SG18

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