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Igis
City in Graubünden, Switzerland
Overview
Igis is a picturesque village in the canton of Graubünden, Switzerland, known for its serene landscapes, historical sites, and proximity to the larger town of Landquart. Its charming streets and relaxed atmosphere offer a peaceful retreat for those wishing to experience authentic Swiss village life.
Geographic Context
Jurisdiction
Switzerland
Canton
Graubünden
Population
6,828
Time Zone
Europe/Zurich
Coordinates
46.95°, 9.57°
Key Metrics
Safety Score · estimate
95
Female Safety
93
LGBTQ+ Safety
82
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$3,075
Local Cost
$1,915
Local Income
$4,200
Cashless
85
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
210 Mbps
Upload
111 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
76
Walk Score
76
Footways
152.0
Airport
HOH
Distance
50 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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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