Region Engiadina Bassa / Val Müstair
City in Graubünden, Switzerland
Overview
Region Engiadina Bassa / Val Müstair is a picturesque corner of Graubünden, Switzerland, renowned for its unspoiled alpine scenery, mineral baths, and tranquil villages. It is a paradise for hikers, wellness seekers, and those interested in Engadine and Romansh culture. The region combines natural beauty with authentic Swiss ambiance and rich history.
Geographic Context
Jurisdiction
Switzerland
Canton
Graubünden
Population
—
Time Zone
Europe/Zurich
Coordinates
46.75°, 10.26°
Key Metrics
Safety Score · estimate
94
Female Safety
88
LGBTQ+ Safety
78
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$2,720
Local Cost
$2,030
Local Income
$4,200
Cashless
83
English
65
Temperature
1.7°C
Summer Avg
11.0°C
Winter Avg
-7.8°C
Record High
28.0°C
Record Low
-32.9°C
Humidity
84%
Precipitation
1413 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SMV
Distance
38 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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.