36, High Street is a Grade II listed building in the Stockton-on-Tees local planning authority area, England. First listed on 23 June 1966. House. 1 related planning application.
36, High Street
- WRENN ID
- forgotten-postern-candle
- Grade
- II
- Local Planning Authority
- Stockton-on-Tees
- Constituency
- Stockton West MP: Matt Vickers (Con)
- Country
- England
- Date first listed
- 23 June 1966
- Type
- House
- Address
- 36, High Street, Yarm, TS15 9AE
- OS grid reference
- NZ 419 127
- Coordinates
- 54.5087, -1.35369
- Source
- Historic England listing
Description
No 36 on High Street is a late 18th-century building that has been altered over time. It features a rough rendered exterior with quoins and a modern concrete roof covered in tiles. The building stands three storeys tall and has two large, late 19th-century sash windows. The shop front is modern and its fascia overlaps with No 34 nearby. This property is included as part of a group that spans from No 18 to No 42.
Local climate
36, High Street sits in a drier-than-average part of the UK, with an average of 730 mm of rain a year. This makes it drier than 77% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 93% of listed buildings.
It experiences an average of 38 freeze-thaw cycles a year, more than 73% of listed buildings. Of these, 21 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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