17 Queens Avenue

    17, QUEENS AVENUE, LEIGH-ON-SEA, LEIGH-ON-SEA, SS9 1QT

    This flat/maisonette leasehold property on Queens Avenue last sold in January 2001 for £55,300. Based on price growth in the SS9 district since then, its estimated current value is £195,485 — placing it in the 23rd percentile nationally and the 4th percentile within SS9. The property covers 73 m² (786 sq ft), giving an estimated value of £2,678 per m². The EPC rating is D, with a potential rating of C.

    Type

    Flat/Maisonette

    Tenure

    Leasehold

    Floor Area

    786 sq ft

    73 m²

    Last Sale Price

    £55,300

    Jan 2001

    Estimated Valuation

    £195,485

    Est. £/sq ft

    £249/sq ft

    £2,678/m²

    Property Details

    TypeFlat/Maisonette
    TenureLeasehold
    Built formDetached
    Construction ageEngland and Wales: 1930-1949
    Habitable rooms4
    Main fuelmains gas (not community)
    EPC currentD
    EPC potentialC
    Floor area786 sq ft (73 m²)
    EPC dateJun 2023
    WallsSolid brick, as built, no insulation (assumed)
    HeatingBoiler and radiators, mains gas

    Transaction History

    3 Jan 2001

    £55,300

    30 Jun 1999

    £48,000

    29 Feb 1996

    £42,995

    Key Metrics

    Estimated valuation£195,485
    Value per sq ft / m²£249/sq ft (£2,678/m²)
    Estimated gross yieldNot available
    Implied monthly rentNot available
    SS9 district percentile4th percentile
    National percentile23rd percentile

    District Context — SS9

    SS9 covers the Southend-on-Sea area in Essex, situated on the Thames estuary east of London. It is a established coastal residential district with a mixed demographic profile and a strong owner-occupier base.

    Average Property Price - SS9

    £446,469

    74

    National percentile

    Average Net Household Income - SS9

    £44,413

    74

    National percentile

    10-Year Annualised Price Growth - SS9

    3.7%

    56

    National percentile

    10-Year Annualised Rent Growth - SS

    3.9%

    53

    National percentile

    View full analysis for SS9

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