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Cheseaux
City in Vaud, Switzerland
Overview
Cheseaux, a tranquil village near Lausanne in Switzerland's Vaud region, is known for its peaceful residential neighborhoods, access to green spaces, and easy rail connections to the city. Though compact, it offers a blend of Swiss charm and local conveniences, making it ideal for relaxed visits or family stays.
Geographic Context
Jurisdiction
Switzerland
Canton
Vaud
Population
—
Time Zone
Europe/Zurich
Coordinates
46.59°, 6.61°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$2,875
Local Cost
$2,020
Local Income
$4,300
Cashless
90
English
75
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
257 Mbps
Upload
136 Mbps
Latency
12 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
1
Parks
1
Transport
100
Walk Score
100
Footways
256.0
Airport
VIP
Distance
37 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 2026-03-21.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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