30, High Street is a Grade II listed building in the Canterbury local planning authority area, England. First listed on 1 October 1975. House. 4 related planning applications.
30, High Street
- WRENN ID
- stark-oriel-mint
- Grade
- II
- Local Planning Authority
- Canterbury
- Constituency
- Canterbury MP: Rosie Duffield (Ind)
- Country
- England
- Date first listed
- 1 October 1975
- Type
- House
- Address
- 30, High Street, Littlebourne, CT3 1ST
- OS grid reference
- TR 209 574
- Coordinates
- 51.27322, 1.16567
- Source
- Historic England listing
Description
No. 30 High Street is an 18th-century building that was refronted in stucco in the early 19th century, while the other sides remain red brick. It consists of two parallel ranges and has two storeys with attics. The roof is tiled and features two modern dormers. The front has two sash windows with verticals only and one blank window. On the right side of the ground floor, there is a mid-19th century shop front, along with a doorcase that has a flat hood supported by brackets.
Local climate
30, 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 greater than that of 59% of listed buildings.
It experiences an average of 10 freeze-thaw cycles a year, fewer than 90% of listed buildings. Of these, 6 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 — 1 transaction since 2016
- Related listed building consents — 4 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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