50-56, CHESTNUT GROVE is a Grade II listed building in the York local planning authority area, England. First listed on 12 December 1986. Cottage. 1 related planning application.

50-56, CHESTNUT GROVE

WRENN ID
tired-quoin-aspen
Grade
II
Local Planning Authority
York
Country
England
Date first listed
12 December 1986
Type
Cottage
Source
Historic England listing

Description

This terrace comprises two pairs of cottages, built around 1909-1914 as part of the New Earswick Village, designed by Parker and Unwin for the Joseph Rowntree Village Trust. The buildings are constructed of brick with a French tile roof. They feature a through living room plan incorporating a central passageway. The terrace is two storeys high, with nine first-floor windows, a gable over the passageway, and paired central gables above each pair of cottages. Replacement doors and standard "New Earswick" window panes are present throughout. A round arch defines the passageway, flanked by single-pane casements. Each pair of cottages has a pair of three-light casements flanked by doors, each sheltered by a canopy. Single-pane casements are found in the outer bays. On the first floor, a two-light casement is centrally positioned, flanked by lower three-light casements. The outer gables have three-light casements, with low two-light casements in the outer bays. Chimney stacks have been removed. New Earswick is notable for its contribution to the development of low-cost housing in Britain, and the experience and practices introduced there heavily influenced the Tudor Walters Report of 1918 and the subsequent Addison Act of 1919. Plans originating from New Earswick also informed the Government Manual on low-cost housing that followed the Act.

Detailed Attributes

Structured analysis including materials, construction techniques, architect attribution, and related listed building consent applications. Sign in or create a free account to view.

Matched applications, energy data and sale records are assembled automatically and may contain errors. Flag incorrect data.