The Rosary is a Grade II listed building in the North Yorkshire local planning authority area, England. First listed on 16 June 1978. Cottage. 2 related planning applications.
The Rosary
- WRENN ID
- buried-rubblework-russet
- Grade
- II
- Local Planning Authority
- North Yorkshire
- Constituency
- Richmond and Northallerton MP: Rishi Sunak (Con)
- Country
- England
- Date first listed
- 16 June 1978
- Type
- Cottage
- Address
- The Rosary, 27, Richmond Road, Brompton-On-Swale, DL10 7HF
- OS grid reference
- SE 217 996
- Coordinates
- 54.39214, -1.6665
- Source
- Historic England listing
Description
The Rosary is a cottage dating from the late 18th century to the early 19th century. It is constructed of rubble with a 20th-century clay pantile roof. The building has two storeys and one bay. A part-glazed 20th-century door is set in an ashlar surround to the right. There are four-pane sash windows with flat arches on the ground floor. To the left, there is a shaped kneeler and ashlar coping. A brick stack is located at the left end of the cottage.
Local climate
The Rosary receives an average of 860 mm of rain a year. This makes it wetter than 60% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 69% of listed buildings.
It experiences an average of 50 freeze-thaw cycles a year, more than 91% of listed buildings. Of these, 29 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 1996
- 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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