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Laupen
City in Bern, Switzerland
Overview
Laupen is a picturesque small town in the Canton of Bern, Switzerland, set between scenic hills and the meandering Aare river. Its charming old town boasts medieval architecture, welcoming community, and easy access to nature. The town is perfect for a tranquil Swiss experience away from major tourist crowds.
Geographic Context
Jurisdiction
Switzerland
Canton
Bern
Population
3,138
Time Zone
Europe/Zurich
Coordinates
46.90°, 7.24°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,865
Local Cost
$1,890
Local Income
$4,000
Cashless
85
English
60
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
530 Mbps
Upload
477 Mbps
Latency
5 ms
City Vibrancy
4
Coworking
0
Cafes
3
Nightlife
0
Parks
1
Transport
80
Walk Score
80
Footways
160.0
Airport
BRN
Distance
20 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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