Ilanz

City in Graubünden, Switzerland

Overview

Ilanz is a picturesque alpine town in Graubünden, Switzerland, often referred to as the 'gateway to the Surselva.' Surrounded by majestic mountains and the Rhine gorge, it offers a blend of history, nature, and local culture in a compact and walkable setting.

Geographic Context

Jurisdiction
Switzerland
Canton
Graubünden
Population
2,327
Time Zone
Europe/Zurich
Coordinates
46.77°, 9.20°

Key Metrics

Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$2,762
Local Cost
$1,820
Local Income
$3,900
Cashless
90
English
67
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
114 Mbps
Upload
55 Mbps
Latency
10 ms
City Vibrancy
6
Coworking
1
Cafes
3
Nightlife
1
Parks
1
Transport
100
Walk Score
100
Footways
302.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 21 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 2026-03-22.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.