37, High Street is a Grade II listed building in the Canterbury local planning authority area, England. First listed on 3 May 1967. Timberframed building. 5 related planning applications.
37, High Street
- WRENN ID
- veiled-cornice-woodpecker
- Grade
- II
- Local Planning Authority
- Canterbury
- Constituency
- Canterbury MP: Rosie Duffield (Ind)
- Country
- England
- Date first listed
- 3 May 1967
- Type
- Timberframed building
- Address
- 37, High Street, CT1 2RY
- OS grid reference
- TR 148 578
- Coordinates
- 51.27921, 1.0794
- Source
- Historic England listing
Description
No 37 on High Street is a 17th century timber-framed building that was restored in the early 19th century. It has two storeys and a gable that is plastered, topped with a tiled roof. The gable features one window, and there is a three-light sash window on the first floor. A late 18th century rainwater head is also present. The building has a later shop front. Nos 37 to 46, along with Nos 48 and 49, form a group.
Local climate
37, High Street sits in a drier-than-average part of the UK, with an average of 700 mm of rain a year. This makes it drier than 90% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 52% of listed buildings.
It experiences an average of 14 freeze-thaw cycles a year, fewer than 87% of listed buildings. Of these, 7 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 — 3 transactions since 2019
- Related listed building consents — 5 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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