Saas-Grund
City in Valais, Switzerland
Overview
Saas-Grund is a picturesque alpine village in the heart of the Swiss Valais, renowned for its stunning mountain scenery and direct access to world-class ski slopes and hiking trails. With a small population, it offers a tranquil Swiss experience away from larger tourist centers, making it ideal for nature lovers and families.
Geographic Context
Jurisdiction
Switzerland
Canton
Valais
Population
1,000
Time Zone
Europe/Zurich
Coordinates
46.12°, 7.94°
Key Metrics
Safety Score · estimate
95
Female Safety
93
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$2,550
Local Cost
$1,810
Local Income
$3,800
Cashless
85
English
75
Temperature
2.8°C
Summer Avg
12.3°C
Winter Avg
-6.9°C
Record High
26.7°C
Record Low
-27.8°C
Humidity
80%
Precipitation
1182 mm
Internet Speed
39 Mbps
Upload
54 Mbps
Latency
23 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
46
Walk Score
46
Footways
92.0
Airport
SIR
Distance
48 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 2026-03-23.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.