32 St Mary Street is a Grade II listed building in the Cardiff local planning authority area, Wales. First listed on 30 April 1999. Commercial building. 1 related planning application.
32 St Mary Street
- WRENN ID
- graven-rubble-alder
- Grade
- II
- Local Planning Authority
- Cardiff
- Constituency
- Cardiff South and Penarth MP: Stephen Doughty (Lab)
- Country
- Wales
- Date first listed
- 30 April 1999
- Type
- Commercial building
- Address
- 32 St Mary Street, Castle, CF10 1AB
- OS grid reference
- ST 183 761
- Coordinates
- 51.47866, -3.17772
- Source
- Cadw listing
Description
32 St Mary Street is a building designed in the Dutch Renaissance style. It stands three storeys tall and is constructed of pressed red brick with bathstone dressings. The building features a low Dutch gable and a two-storey broad oriel window that has two windows on the front of the top floor. There is also a broad window with a pediment above the first floor. The ground floor has a modern shopfront.
Local climate
32 St Mary Street sits in a wetter-than-average part of the UK, with an average of 1,080 mm of rain a year. This makes it wetter than 86% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 87% of listed buildings.
It experiences an average of 22 freeze-thaw cycles a year, fewer than 77% of listed buildings. Of these, 8 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 — 1 transaction since 2018
- 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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