White House Cottage is a Grade II listed building in the North Yorkshire local planning authority area, England. House. 2 related planning applications.
White House Cottage
- WRENN ID
- blind-landing-jackdaw
- Grade
- II
- Local Planning Authority
- North Yorkshire
- Country
- England
- Type
- House
- Source
- Historic England listing
Description
White House Cottage is a house dating from the early to mid-18th century. It is constructed of red-brown local brick, featuring lighter gauged bricks around the original ground floor openings. The roof is covered with renewed pantiles and has end stacks as well as a large central stack. The building has two storeys and four bays.
The central entrance consists of a four-panel door set within a plain architrave, which is topped by an elliptical rubbed-brick arch with matching jambs, although this has been partly rebuilt. To the left of the entrance are sash windows with 19th-century glazing, while to the right is a large square window with ten panes in each sash and a wide four-panel door with cusped arches that leads to a through passage. Above the entrance, there are two 16-pane sash windows under elliptical brick arches, a blind panel above the central entrance, and a large 16-pane sash window. A three-course band runs along the first floor, and there is a dentilled cornice. The gable end features tumbled-in brickwork.
Inside, the cottage has chamfered and stopped ceiling beams. The upper part of the staircase includes plank cut balusters with a simple nave pattern dating to around 1700. There is an 18th-century bolection-moulded fireplace on the first floor and a ground floor corner fireplace that likely dates to around 1700.
More on this building
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- No EPC on record for this property
- No sale records on file
- Related listed building consents — 2 applications
- Detailed attributes — period, style, materials, features
- Flood risk assessment
- Radon risk assessment
Matched applications, energy data and sale records are assembled automatically and may contain errors. Flag incorrect data.