1-12 Daybrook Almshouses is a Grade II listed building in the Gedling local planning authority area, England. First listed on 27 April 1987. Almshouses. 3 related planning applications.
1-12 Daybrook Almshouses
- WRENN ID
- unlit-sill-ash
- Grade
- II
- Local Planning Authority
- Gedling
- Country
- England
- Date first listed
- 27 April 1987
- Type
- Almshouses
- Source
- Historic England listing
Description
The Daybrook Almshouses, built in 1899 and possibly designed by J. L. Pearson Jnr, consist of 12 almshouses commissioned by Sir John Robinson. They are constructed from rockfaced and plain ashlar stone, featuring gabled and pyramid roofs covered with plain tiles, and are designed in the 17th century Renaissance Revival style. The buildings have a chamfered plinth and shouldered shaped coped gables, with 12 side wall stacks.
The almshouses are arranged in a single range over two storeys and comprise seven bays. The windows are primarily cross and mullioned casements. The gabled west front includes larger projecting terminal gabled wings, each with two blank panels. A three-storey central gatehouse, topped with a wind vane, features a round-headed carriage opening. This gatehouse is flanked by three gabled porches, each containing a door on either side and two casements. Each porch is accompanied by a single cross casement. Above the gatehouse, there are three casements, with the central one being the largest, flanked by six additional casements. The gatehouse also displays a central datestone inscribed with the year '1899' and features three round-headed casements above, with the central one again being the largest.
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 — 3 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.