29, High Street is a Grade II listed building in the Babergh local planning authority area, England. First listed on 21 March 1962. House. 4 related planning applications.
29, High Street
- WRENN ID
- lunar-storey-sunrise
- Grade
- II
- Local Planning Authority
- Babergh
- Constituency
- South Suffolk MP: James Cartlidge (Con)
- Country
- England
- Date first listed
- 21 March 1962
- Type
- House
- Address
- 29, High Street, Lavenham, CO10 9PT
- OS grid reference
- TL 915 493
- Coordinates
- 52.10961, 0.79549
- Source
- Historic England listing
Description
This is a two-storey, 17th-18th century timber-framed and plastered building with a gable facing the street, located on Lavenham High Street. It has two windows. The windows are 19th-century double-hung sashes with single vertical glazing bars. The ground floor features a small, rectangular bay and doorway topped with a cornice, likely representing a former shop front. The roof is tiled and has Victorian ornamental bargeboards on the gable.
Local climate
29, High Street sits in a drier-than-average part of the UK, with an average of 710 mm of rain a year. This makes it drier than 88% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 85% of listed buildings.
It experiences an average of 32 freeze-thaw cycles a year, fewer than 58% of listed buildings. Of these, 16 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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- Full EPC report — heating system, energy costs, size, glazing, construction etc.
- Sale history — 4 transactions since 1998
- Related listed building consents — 4 applications
- 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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