Myrtle Cottage is a Grade II listed building in the Wealden local planning authority area, England. First listed on 31 December 1982. House. 1 related planning application.
Myrtle Cottage
- WRENN ID
- floating-vault-fog
- Grade
- II
- Local Planning Authority
- Wealden
- Constituency
- Sussex Weald MP: Ms Nusrat Ghani (Con)
- Country
- England
- Date first listed
- 31 December 1982
- Type
- House
- Address
- Myrtle Cottage, Mayfield Road, Frant, TN3 9HS
- OS grid reference
- TQ 588 342
- Coordinates
- 51.08518, 0.26644
- Source
- Historic England listing
Description
Myrtle Cottage is a restored timber-framed building, likely dating from the 17th century or earlier. It has plaster infilling between the timbers and diagonal braces on the first floor. The roof is tiled and hipped, and the eaves are stepped. The windows are casement windows with latticed panes. The cottage is two storeys high and has three windows.
Local climate
Myrtle Cottage receives an average of 750 mm of rain a year. This makes it drier than 69% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 56% of listed buildings.
It experiences an average of 30 freeze-thaw cycles a year, fewer than 65% of listed buildings. Of these, 14 follow at least 1 mm of rain in the preceding 48 hours. Average temperatures at this location have risen by 0.3°C per decade since 1991.
Averages for 1991–2020; temperature trend 1991–2025. Figures describe the wider area (a grid cell of roughly 10 km), not the individual site. Contains modified Copernicus Climate Change Service information 2026.
More on this building
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- Full EPC report — heating system, energy costs, size, glazing, construction etc.
- Sale history — 14 transactions since 1999
- Related listed building consents — 1 application
- Detailed attributes — period, style, materials, features
- Flood risk assessment
- Radon risk assessment
- Weather exposure and heating demand — rain and frost month by month and year by year, wind direction, solar and humidity
Matched applications, energy data and sale records are assembled automatically and may contain errors. Flag incorrect data.
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