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Great Missenden
City in Buckinghamshire, United Kingdom
Overview
Great Missenden is a picturesque village in Buckinghamshire, known for its literary heritage as the home of Roald Dahl and its traditional English countryside charm. With tree-lined streets, charming tea rooms, and rolling Chiltern Hills, it offers both tranquility and cultural intrigue.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Buckinghamshire
Population
9,966
Time Zone
Europe/London
Coordinates
51.70°, -0.71°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$2,838
Local Cost
$1,900
Local Income
$3,100
Cashless
95
English
100
Temperature
10.3°C
Summer Avg
16.9°C
Winter Avg
4.3°C
Record High
34.9°C
Record Low
-8.9°C
Humidity
85%
Precipitation
736 mm
Internet Speed
97 Mbps
Upload
57 Mbps
Latency
8 ms
City Vibrancy
15
Coworking
0
Cafes
6
Nightlife
7
Parks
2
Transport
61
Walk Score
61
Footways
122.0
Airport
HYC
Distance
13 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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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