31, High Street is a Grade II listed building in the Buckinghamshire local planning authority area, England. First listed on 29 January 1985. House. 1 related planning application.
31, High Street
- WRENN ID
- long-beam-sorrel
- Grade
- II
- Local Planning Authority
- Buckinghamshire
- Constituency
- Aylesbury MP: Laura Kyrke-Smith (Lab)
- Country
- England
- Date first listed
- 29 January 1985
- Type
- House
- Address
- 31, High Street, Whitchurch, HP22 4JA
- OS grid reference
- SP 802 206
- Coordinates
- 51.87883, -0.83539
- Source
- Historic England listing
Description
No. 31 High Street is a house built around 1830-1840. It is constructed of brick with a moulded plinth and features a slate roof along with flanking brick chimneys. The building has two storeys and three bays, with 4-pane sash windows that have cambered heads. The central entrance consists of a half-glazed door set in a wooden surround, which includes flush panelled reveals, narrow reeded pilaster strips, a plain frieze, and a flat cornice hood. This house is included in the listing for its group value.
Local climate
31, High Street receives an average of 740 mm of rain a year. This makes it drier than 75% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 83% of listed buildings.
It experiences an average of 35 freeze-thaw cycles a year, more than 55% of listed buildings. Of these, 16 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 — 2 transactions since 1995
- 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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