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Thun District
City in Bern, Switzerland
Overview
The Thun District, set in the Bernese Oberland region of Switzerland, is renowned for its picturesque lakeside setting, medieval old town, and dramatic mountain scenery. The area offers a blend of historic charm, outdoor adventure, and authentic Swiss culture, making it a favorite for both locals and visitors.
Geographic Context
Jurisdiction
Switzerland
Canton
Bern
Population
—
Time Zone
Europe/Zurich
Coordinates
46.76°, 7.63°
Key Metrics
Safety Score · estimate
94
Female Safety
92
LGBTQ+ Safety
90
Traffic Safety
89
Food Safety
100
Monthly Cost · estimate
$3,685
Local Cost
$2,230
Local Income
$4,800
Cashless
95
English
85
Temperature
8.5°C
Summer Avg
17.4°C
Winter Avg
-0.3°C
Record High
34.1°C
Record Low
-19.7°C
Humidity
80%
Precipitation
1142 mm
Internet Speed
416 Mbps
Upload
166 Mbps
Latency
10 ms
City Vibrancy
48
Coworking
0
Cafes
18
Nightlife
26
Parks
4
Transport
100
Walk Score
100
Footways
671.0
Airport
BRN
Distance
19 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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