73, Cowl Street is a Grade II listed building in the Somerset local planning authority area, England. First listed on 16 October 1974. House.
73, Cowl Street
- WRENN ID
- sleeping-gargoyle-ebony
- Grade
- II
- Local Planning Authority
- Somerset
- Constituency
- Wells and Mendip Hills MP: Tessa Munt (LD)
- Country
- England
- Date first listed
- 16 October 1974
- Type
- House
- Address
- 73, Cowl Street, Shepton Mallet
- OS grid reference
- ST 618 439
- Coordinates
- 51.19348, -2.54692
- Source
- Historic England listing
Description
No. 73 on Cowl Street is a house built around 1800. It features a rubble exterior and a double Roman tile roof with coped verges and a stone stack on the left side. The building is two stories high and has two bays. The windows are sashes with glazing bars set in moulded stone architraves, although one window on the first floor is blocked. To the right of the house, there is a door opening with a moulded surround and a triangular pediment supported by cut stone brackets, leading to a five-panelled door.
Local climate
73, Cowl Street receives an average of 870 mm of rain a year. This makes it wetter than 63% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 70% of listed buildings.
It experiences an average of 35 freeze-thaw cycles a year, more than 56% of listed buildings. Of these, 15 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 — 2 transactions since 1998
- No related consent applications matched
- 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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