132 Fairyland

    132, FAIRYLAND, NEATH, NEATH, SA11 3EF

    This flat/maisonette leasehold property on Fairyland last sold in October 2006 for £30,000. Based on price growth in the SA11 district since then, its estimated current value is £29,436 — placing it in the 0th percentile nationally and the 0th percentile within SA11. The property covers 46 m² (495 sq ft), giving an estimated value of £640 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

    £30,000

    Oct 2006

    Estimated Valuation

    £29,436

    Est. £/sq ft

    £59/sq ft

    £640/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formEnclosed End-Terrace
    Construction ageEngland and Wales: 1967-1975
    Habitable rooms3
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialC
    Floor area495 sq ft (46 m²)
    EPC dateMay 2020
    WallsSystem built, with external insulation
    HeatingBoiler and radiators, mains gas

    Transaction History

    20 Oct 2006

    £30,000

    29 Oct 2004

    £33,000

    Key Metrics

    Estimated valuation£29,436
    Value per sq ft / m²£59/sq ft (£640/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SA11 district percentile0th percentile
    National percentile0th percentile

    District Context — SA11

    SA11 covers the Neath area in Swansea, South Wales, sitting in the eastern part of the county. It is a post-industrial community with a blend of residential neighbourhoods, local services, and green spaces, appealing to families and those seeking affordable living.

    Average Property Price - SA11

    £167,684

    5

    National percentile

    Average Net Household Income - SA11

    £27,307

    4

    National percentile

    10-Year Annualised Price Growth - SA11

    4.6%

    83

    National percentile

    10-Year Annualised Rent Growth - SA

    3.5%

    28

    National percentile

    View full analysis for SA11

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