Pound Corner House is a Grade II listed building in the Waverley local planning authority area, England. A Georgian Cottage. 2 related planning applications.
Pound Corner House
- WRENN ID
- seventh-quartz-russet
- Grade
- II
- Local Planning Authority
- Waverley
- Constituency
- Farnham and Bordon MP: Gregory Stafford (Con)
- Country
- England
- Type
- Cottage
- Period
- Georgian
- Address
- Pound Corner House, 90, High Street, Haslemere, GU27 2LA
- OS grid reference
- SU 906 331
- Coordinates
- 51.0908, -0.70662
- Source
- Historic England listing
Description
Pound Corner House is an early to mid-19th century cottage that stands two storeys tall, featuring two gable ends that face the road. The first floor has three windows. The building is constructed from random stone with brick dressings, which include gauged arches over the round-arched side windows and a cambered-arched window at the centre of the first floor. All the windows are sashes with glazing bars. The roof is low pitched and covered with slate. There is a modern central hipped porch added to the front.
Local climate
Pound Corner House receives an average of 750 mm of rain a year. This makes it drier than 72% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 51% of listed buildings.
It experiences an average of 34 freeze-thaw cycles a year, more than 50% 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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- No EPC on record for this property
- Sale history — 3 transactions since 2003
- Related listed building consents — 2 applications
- 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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