Grüsch

City in Graubünden, Switzerland

Overview

Grüsch is a charming Alpine village set in the Prättigau region of Graubünden, Switzerland. Known for its stunning mountain scenery, it offers tranquil rural life, lively local traditions, and easy access to outdoor activities year-round.

Geographic Context

Jurisdiction
Switzerland
Canton
Graubünden
Population
2,161
Time Zone
Europe/Zurich
Coordinates
46.98°, 9.65°

Key Metrics

Safety Score · estimate
96
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
91
Food Safety
98
Monthly Cost · estimate
$2,665
Local Cost
$1,820
Local Income
$4,100
Cashless
80
English
70
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
24 Mbps
Upload
14 Mbps
Latency
7 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
41
Walk Score
41
Footways
81.0
Airport
HOH
Distance
45 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. Record updated 2025-12-05.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.