Villeneuve
City in Vaud, Switzerland
Overview
Villeneuve is a charming lakeside town in the canton of Vaud, Switzerland, set at the eastern end of Lake Geneva. It's known for its relaxing atmosphere, surrounding natural reserves, and proximity to Montreux. The city blends historic sites, beautiful waterfronts, and easy access to outdoor activities.
Geographic Context
Jurisdiction
Switzerland
Canton
Vaud
Population
5,771
Time Zone
Europe/Zurich
Coordinates
46.40°, 6.93°
Key Metrics
Safety Score · estimate
96
Female Safety
93
LGBTQ+ Safety
88
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$3,040
Local Cost
$2,300
Local Income
$4,200
Cashless
98
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
138 Mbps
Upload
57 Mbps
Latency
7 ms
City Vibrancy
37
Coworking
0
Cafes
5
Nightlife
0
Parks
32
Transport
100
Walk Score
100
Footways
478.0
Airport
SIR
Distance
37 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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.