3 Exmoor Avenue

    3, EXMOOR AVENUE, BIGGLESWADE, SG18 0FN

    This flat/maisonette leasehold property on Exmoor Avenue last sold in June 2018 for £190,000. Based on price growth in the SG18 district since then, its estimated current value is £179,358 — placing it in the 19th percentile nationally and the 5th percentile within SG18. The property covers 56 m² (603 sq ft), giving an estimated value of £3,203 per m². The EPC rating is C, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    603 sq ft

    56 m²

    Last Sale Price

    £190,000

    Jun 2018

    Estimated Valuation

    £179,358

    Est. £/sq ft

    £298/sq ft

    £3,203/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formSemi-Detached
    Construction ageEngland and Wales: 2007-2011
    Habitable rooms3
    Main fuelmains gas (not community)
    EPC currentC
    EPC potentialC
    Floor area603 sq ft (56 m²)
    EPC dateJun 2021
    WallsCavity wall, as built, insulated (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    29 Jun 2018

    £190,000

    3 Sept 2013

    £143,000

    27 May 2011

    New build

    £139,995

    Key Metrics

    Estimated valuation£179,358
    Value per sq ft / m²£298/sq ft (£3,203/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SG18 district percentile5th percentile
    National percentile19th 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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