Coppelia Cottage is a Grade II listed building in the Stockton-on-Tees local planning authority area, England. First listed on 21 June 1985. A C18 Cottage. 4 related planning applications.
Coppelia Cottage
- WRENN ID
- watchful-eave-elder
- Grade
- II
- Local Planning Authority
- Stockton-on-Tees
- Constituency
- Stockton North MP: Chris McDonald (Lab)
- Country
- England
- Date first listed
- 21 June 1985
- Type
- Cottage
- Address
- Coppelia Cottage, 25, the Green, TS20 1EJ
- OS grid reference
- NZ 443 220
- Coordinates
- 54.59162, -1.315
- Source
- Historic England listing
Description
Coppelia Cottage is an 18th-century house originally built as a single dwelling. It is roughcast in appearance. The two storeys feature three windows, all flush-framed glazing bar sash windows. A pantile roof has been replaced with Marley tiles. There are two brick chimneys. The front features two wooden doorpieces with pilasters, as well as two attractive bow windows on the ground floor, which incorporate casement windows and modillion cornices.
Local climate
Coppelia Cottage receives an average of 760 mm of rain a year. This makes it drier than 66% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 71% of listed buildings.
It experiences an average of 26 freeze-thaw cycles a year, fewer than 72% of listed buildings. Of these, 15 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 — 2 transactions since 1999
- 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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