Lens
City in Valais, Switzerland
Overview
Lens is a serene Alpine town set in the heart of Switzerland's Valais region, known for its picture-perfect scenery, welcoming community, and easy access to world-class outdoor activities. With a blend of tradition and modern amenities, Lens offers a peaceful retreat and is a gateway to the prestigious Crans-Montana resort area.
Geographic Context
Jurisdiction
Switzerland
Canton
Valais
Population
4,198
Time Zone
Europe/Zurich
Coordinates
46.28°, 7.45°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
82
Traffic Safety
91
Food Safety
98
Monthly Cost · estimate
$3,123
Local Cost
$2,160
Local Income
$3,900
Cashless
86
English
62
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
320 Mbps
Upload
316 Mbps
Latency
4 ms
City Vibrancy
5
Coworking
0
Cafes
3
Nightlife
1
Parks
1
Transport
9
Walk Score
9
Footways
17.0
Airport
SIR
Distance
12 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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.