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Domat

City in Graubünden, Switzerland

Overview

Domat is a serene Swiss town in the canton of Graubünden, known for its industrial roots and picturesque natural surroundings alongside the Rhine River. Its close proximity to Chur and excellent transport links make it an ideal spot for exploring the region.

Geographic Context

Jurisdiction
Switzerland
Canton
Graubünden
Population
—
Time Zone
Europe/Zurich
Coordinates
46.83°, 9.45°

Key Metrics

Safety Score · estimate
94
Female Safety
92
LGBTQ+ Safety
87
Traffic Safety
95
Food Safety
99
Monthly Cost · estimate
$3,140
Local Cost
$2,070
Local Income
$4,400
Cashless
95
English
65
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
267 Mbps
Upload
100 Mbps
Latency
9 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
83
Walk Score
83
Footways
165.0
Airport
SMV
Distance
47 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 43 tests. Record updated 2025-12-05.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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