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Breíl
City in Graubünden, Switzerland
Overview
Breíl is a picturesque alpine village set in the region of Graubünden, Switzerland. Surrounded by dramatic mountain scenery and lush forests, it offers a peaceful escape for nature lovers, hikers, and those seeking authentic Swiss rural life. Traditional architecture and a strong Romansh cultural influence create a unique sense of place.
Geographic Context
Jurisdiction
Switzerland
Canton
Graubünden
Population
—
Time Zone
Europe/Zurich
Coordinates
46.77°, 9.06°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$3,285
Local Cost
$1,930
Local Income
$3,200
Cashless
75
English
60
Temperature
5.8°C
Summer Avg
15.0°C
Winter Avg
-3.7°C
Record High
30.1°C
Record Low
-28.1°C
Humidity
81%
Precipitation
1536 mm
Internet Speed
115 Mbps
Upload
45 Mbps
Latency
12 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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