96 Seatown, Cullen is a Grade C listed building in the Moray local planning authority area, Scotland. First listed on 22 February 1972. Cottage. 1 related planning application.
96 Seatown, Cullen
- WRENN ID
- fading-corridor-sorrel
- Grade
- C
- Local Planning Authority
- Moray
- Constituency
- Aberdeenshire North and Moray East MP: Seamus Logan (SNP)
- Country
- Scotland
- Date first listed
- 22 February 1972
- Type
- Cottage
- Address
- 96 Seatown, Cullen, AB56 4SN
- OS grid reference
- NJ 509 671
- Coordinates
- 57.69162, -2.8251
- Source
- Historic Environment Scotland listing
Description
This is a small, single-storey cottage from the early 19th century, featuring two bays. It has a significant single-storey addition on the west gable, which was remodeled around 1975, creating an irregular four-bay street frontage on the north side. The exterior is finished with dry dash and has rendered margins. The entrance is off-centre, and the windows have two-pane glazing. There is an end stack, and the roof is pantiled with a slate easing course.
Local climate
96 Seatown, Cullen sits in a wetter-than-average part of the UK, with an average of 990 mm of rain a year. This makes it wetter than 79% of listed buildings in the UK. Its exposure to wind-driven rain is greater than that of 77% of listed buildings.
It experiences an average of 7 freeze-thaw cycles a year, fewer than 94% of listed buildings. Of these, 6 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
- 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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