32-36, Saint Botolphs Road is a Grade II listed building in the North Northamptonshire local planning authority area, England. First listed on 27 February 1950. Row of cottages. 4 related planning applications.
32-36, Saint Botolphs Road
- WRENN ID
- second-gateway-dale
- Grade
- II
- Local Planning Authority
- North Northamptonshire
- Constituency
- Kettering MP: Rosie Wrighting (Lab)
- Country
- England
- Date first listed
- 27 February 1950
- Type
- Row of cottages
- Address
- 32-36, Saint Botolphs Road, Barton Seagrave, NN15 6SR
- OS grid reference
- SP 887 770
- Coordinates
- 52.38468, -0.69795
- Source
- Historic England listing
Description
This is an 18th-century row of cottages located on the west side of Saint Botolphs Road in Barton Seagrave. The cottages are constructed of coursed rubble with thatched roofs and red brick chimneystacks. Number 36 is the only cottage to have two storeys, while the others are single-storied. The windows are small casement windows.
Local climate
32-36, Saint Botolphs Road sits in a drier-than-average part of the UK, with an average of 720 mm of rain a year. This makes it drier than 84% of listed buildings in the UK. Its exposure to wind-driven rain is lower than that of 86% of listed buildings.
It experiences an average of 34 freeze-thaw cycles a year, more than 50% 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 — 7 transactions since 1995
- 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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