Region Prättigau / Davos

City in Graubünden, Switzerland

Overview

Region Prättigau / Davos in Graubünden is a celebrated alpine destination, renowned for its world-class ski resorts, stunning mountain scenery, and lively cultural scene. The area combines the lively energy of Davos with the tranquil charm of neighboring villages, offering year-round outdoor adventures and Swiss hospitality.

Geographic Context

Jurisdiction
Switzerland
Canton
Graubünden
Population
—
Time Zone
Europe/Zurich
Coordinates
46.87°, 9.82°

Key Metrics

Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
82
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$3,500
Local Cost
$2,210
Local Income
$4,700
Cashless
85
English
76
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
37 km

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: 86/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.