Ty-Hen is a Grade II listed building in the Gwynedd local planning authority area, Wales. First listed on 21 July 1999. Cottage.
Ty-Hen
- WRENN ID
- forgotten-rood-hemlock
- Grade
- II
- Local Planning Authority
- Gwynedd
- Constituency
- Dwyfor Meirionnydd MP: Liz Saville Roberts (PC)
- Country
- Wales
- Date first listed
- 21 July 1999
- Type
- Cottage
- Address
- Ty-Hen, Waunfawr, Caernarfon
- OS grid reference
- SH 522 595
- Coordinates
- 53.11262, -4.20834
- Source
- Cadw listing
Description
Ty-Hen is a single-storey, two-room cottage that is oriented roughly from north-east to south-west. The building features irregularly coursed rubblestone blocks and has a slate roof. The front of the cottage is slightly asymmetrical and includes sash windows with slate cills, one of which is an original 12-paned sash. These windows are positioned on either side of an offset boarded door, which has been renewed. To the left of the entrance, there is a large integral end stack with slate drips. The interior was not accessible at the time of the survey.
Local climate
Ty-Hen sits in one of the wettest parts of the UK, with an average of 1,380 mm of rain a year. This makes it wetter than 97% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 98% of listed buildings.
It experiences an average of 25 freeze-thaw cycles a year, fewer than 73% of listed buildings. Of these, 12 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 — 18 transactions since 1995
- No related consent applications matched
- 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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