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Belmont-sur-Lausanne
City in Vaud, Switzerland
Overview
Belmont-sur-Lausanne is an upscale residential suburb overlooking Lake Geneva, offering panoramic views, tranquil streets, and Swiss village charm. Its proximity to Lausanne makes it ideal for commuters seeking peace and access to a lively urban center. With a small population, the community is tight-knit and amenities cater to families and professionals.
Geographic Context
Jurisdiction
Switzerland
Canton
Vaud
Population
3,721
Time Zone
Europe/Zurich
Coordinates
46.52°, 6.68°
Key Metrics
Safety Score · estimate
96
Female Safety
93
LGBTQ+ Safety
90
Traffic Safety
93
Food Safety
99
Monthly Cost · estimate
$3,125
Local Cost
$2,440
Local Income
$5,200
Cashless
90
English
73
Temperature
7.3°C
Summer Avg
16.2°C
Winter Avg
-1.8°C
Record High
33.1°C
Record Low
-26.0°C
Humidity
79%
Precipitation
1174 mm
Internet Speed
276 Mbps
Upload
79 Mbps
Latency
11 ms
City Vibrancy
38
Coworking
0
Cafes
5
Nightlife
7
Parks
26
Transport
100
Walk Score
100
Footways
463.0
Airport
VIP
Distance
40 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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