Vals Platz

City in Graubünden, Switzerland

Overview

Vals Platz is a picturesque alpine village renowned for its tranquil atmosphere and iconic Vals Thermal Baths designed by Peter Zumthor. Surrounded by dramatic peaks and lush meadows, it offers relaxation and outdoor adventure in the heart of Graubünden.

Geographic Context

Jurisdiction
Switzerland
Canton
Graubünden
Population
1,006
Time Zone
Europe/Zurich
Coordinates
46.62°, 9.18°

Key Metrics

Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
100
Monthly Cost · estimate
$2,784
Local Cost
$1,850
Local Income
$4,100
Cashless
85
English
70
Temperature
0.8°C
Summer Avg
10.6°C
Winter Avg
-9.1°C
Record High
26.3°C
Record Low
-34.8°C
Humidity
86%
Precipitation
1312 mm
Internet Speed
214 Mbps
Upload
252 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
16.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 18 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 2026-03-23.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.