Laax
City in Graubünden, Switzerland
Overview
Laax, set in Switzerland's beautiful Graubünden region, is a premier alpine resort famed for its world-class skiing, expansive snowboard parks, and breathtaking mountain scenery. With a blend of traditional Swiss village charm and cutting-edge resort facilities, it is a year-round destination popular with families, adventurers, and outdoor enthusiasts.
Geographic Context
Jurisdiction
Switzerland
Canton
Graubünden
Population
1,857
Time Zone
Europe/Zurich
Coordinates
46.80°, 9.26°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,910
Local Cost
$1,900
Local Income
$3,900
Cashless
85
English
75
Temperature
4.4°C
Summer Avg
13.6°C
Winter Avg
-5.1°C
Record High
35.8°C
Record Low
-28.7°C
Humidity
84%
Precipitation
1427 mm
Internet Speed
57 Mbps
Upload
31 Mbps
Latency
49 ms
City Vibrancy
8
Coworking
1
Cafes
4
Nightlife
3
Parks
0
Transport
21
Walk Score
21
Footways
41.0
Airport
—
Distance
—
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.