92, High Street is a Grade II listed building in the Wiltshire local planning authority area, England. First listed on 25 March 1988. House. 1 related planning application.
92, High Street
- WRENN ID
- shifting-flue-dust
- Grade
- II
- Local Planning Authority
- Wiltshire
- Constituency
- Melksham and Devizes MP: Brian Mathew (LD)
- Country
- England
- Date first listed
- 25 March 1988
- Type
- House
- Address
- 92, High Street, Cheverell Magna, SN10 5XR
- OS grid reference
- ST 984 543
- Coordinates
- 51.28865, -2.02426
- Source
- Historic England listing
Description
No. 92, High Street is an 18th-century house. It is constructed of colourwashed brick with a thatched roof. The building is originally two bays wide, with an "L" shape, and has been extended to the rear by one bay with a gable stack. A further bay was added in the 20th century. A porch, likely replacing a blocked doorway, stands on the right-hand gable. The windows are two-light timber casements. The roof is hipped. A gable stack is located on the right gable.
Local climate
92, High Street receives an average of 840 mm of rain a year. This makes it wetter than 55% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 59% of listed buildings.
It experiences an average of 34 freeze-thaw cycles a year, more than 54% 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 — 4 transactions since 1997
- 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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