Saint-Léonard
City in Valais, Switzerland
Overview
Saint-Léonard is a picturesque village set in the Swiss canton of Valais, famed for its stunning natural landscape and the remarkable Lac Souterrain, Europe's largest underground lake. With its combination of alpine scenery, vineyards, and a peaceful atmosphere, it offers visitors a charming and authentic Swiss experience.
Geographic Context
Jurisdiction
Switzerland
Canton
Valais
Population
2,442
Time Zone
Europe/Zurich
Coordinates
46.25°, 7.42°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,405
Local Cost
$1,700
Local Income
$4,200
Cashless
90
English
65
Temperature
4.0°C
Summer Avg
12.9°C
Winter Avg
-5.0°C
Record High
27.6°C
Record Low
-26.5°C
Humidity
81%
Precipitation
1176 mm
Internet Speed
128 Mbps
Upload
109 Mbps
Latency
10 ms
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
1
Parks
1
Transport
95
Walk Score
95
Footways
190.0
Airport
SIR
Distance
8 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 79/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.