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Woburn Sands
City in Brent, United Kingdom
Overview
Woburn Sands is a quaint market town on the border of Buckinghamshire and Milton Keynes, known for its friendly ambiance and picturesque surroundings. The town blends charming high street culture with easy access to nature, making it popular for both families and couples seeking a peaceful getaway.
Geographic Context
Jurisdiction
United Kingdom
London Borough
Brent
Population
3,686
Time Zone
Europe/London
Coordinates
52.02°, -0.65°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
86
Traffic Safety
82
Food Safety
98
Monthly Cost · estimate
$2,570
Local Cost
$1,640
Local Income
$2,600
Cashless
94
English
100
Temperature
10.0°C
Summer Avg
16.4°C
Winter Avg
4.1°C
Record High
34.3°C
Record Low
-8.2°C
Humidity
85%
Precipitation
711 mm
Internet Speed
235 Mbps
Upload
215 Mbps
Latency
10 ms
City Vibrancy
19
Coworking
0
Cafes
3
Nightlife
7
Parks
9
Transport
35
Walk Score
35
Footways
70.0
Airport
LTN
Distance
25 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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