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Brent Knoll
City in Somerset, United Kingdom
Overview
Brent Knoll is a quintessential West Country village set at the foot of its namesake hill, known for its welcoming community, charming surroundings, and proximity to the Somerset coast. It offers visitors a tranquil rural escape with historic sites and beautiful nature right on the doorstep.
Geographic Context
Jurisdiction
United Kingdom
Two Tier County
Somerset
Population
1,253
Time Zone
Europe/London
Coordinates
51.25°, -2.96°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$2,138
Local Cost
$1,328
Local Income
$2,500
Cashless
85
English
100
Temperature
10.3°C
Summer Avg
15.8°C
Winter Avg
5.3°C
Record High
30.8°C
Record Low
-5.8°C
Humidity
87%
Precipitation
966 mm
Internet Speed
141 Mbps
Upload
29 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
12
Walk Score
12
Footways
23.0
Airport
BRS
Distance
22 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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