Linthal
City in Glarus, Switzerland
Overview
Linthal is a charming mountain village in Switzerland's Glarus region, renowned for its picturesque scenery, cozy community, and gateway status to the UNESCO-listed Glarus Alps. Its tranquil atmosphere and breathtaking landscapes make it an ideal destination for hikers and nature lovers.
Geographic Context
Jurisdiction
Switzerland
Canton
Glarus
Population
1,080
Time Zone
Europe/Zurich
Coordinates
46.92°, 9.00°
Key Metrics
Safety Score · estimate
96
Female Safety
94
LGBTQ+ Safety
82
Traffic Safety
97
Food Safety
100
Monthly Cost · estimate
$2,710
Local Cost
$1,820
Local Income
$4,100
Cashless
80
English
65
Temperature
5.8°C
Summer Avg
15.0°C
Winter Avg
-3.7°C
Record High
30.1°C
Record Low
-28.1°C
Humidity
81%
Precipitation
1536 mm
Internet Speed
19 Mbps
Upload
3 Mbps
Latency
46 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
26
Walk Score
26
Footways
51.0
Airport
BXO
Distance
46 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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.