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Disentis

City in Graubünden, Switzerland

Overview

Disentis is a charming Alpine town in the Graubünden region, renowned for its stunning mountain scenery, rich Benedictine history, and access to ski slopes and hiking routes. The town offers a mix of traditional Swiss culture and outdoor recreation year-round.

Geographic Context

Jurisdiction
Switzerland
Canton
Graubünden
Population
—
Time Zone
Europe/Zurich
Coordinates
46.70°, 8.85°

Key Metrics

Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$2,800
Local Cost
$1,760
Local Income
$3,500
Cashless
80
English
65
Temperature
2.0°C
Summer Avg
11.7°C
Winter Avg
-7.7°C
Record High
26.5°C
Record Low
-29.8°C
Humidity
85%
Precipitation
1465 mm
Internet Speed
150 Mbps
Upload
119 Mbps
Latency
11 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
3
Parks
0
Transport
44
Walk Score
44
Footways
87.0
Airport
BXO
Distance
46 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 15 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 2026-03-21.
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.

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