29, High Street is a Grade II listed building in the Rutland local planning authority area, England. First listed on 24 November 1971. House. 1 related planning application.
29, High Street
- WRENN ID
- haunted-cornice-myrtle
- Grade
- II
- Local Planning Authority
- Rutland
- Constituency
- Rutland and Stamford MP: Alicia Kearns (Con)
- Country
- England
- Date first listed
- 24 November 1971
- Type
- House
- Address
- 29, High Street, Oakham, LE15 6AH
- OS grid reference
- SK 860 087
- Coordinates
- 52.66973, -0.72881
- Source
- Historic England listing
Description
No. 29 on High Street is an early 19th-century house constructed of red brick with a slate roof. The building stands three stories tall and features four windows with plain reveals and stone flat arches. It has a wooden eaves cornice supported by paired modillions. The ground floor has been modernized for a shop, and there is a flat arched doorway with a chamfered architrave located to the right. This property, along with No. 27, is part of a group.
Local climate
29, High Street sits in a drier-than-average part of the UK, with an average of 740 mm of rain a year. This makes it drier than 76% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 79% of listed buildings.
It experiences an average of 36 freeze-thaw cycles a year, more than 63% of listed buildings. Of these, 18 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.
- No sale records on file
- 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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