Canobbio
City in Ticino, Switzerland
Overview
Canobbio is a peaceful hillside town set in Ticino, Switzerland, blending a historic core with modern amenities and scenic natural surroundings. Known for its tight-knit community, green spaces, and easy access to the culture of nearby Lugano, Canobbio is ideal for relaxation and local exploration.
Geographic Context
Jurisdiction
Switzerland
Canton
Ticino
Population
2,249
Time Zone
Europe/Zurich
Coordinates
46.04°, 8.97°
Key Metrics
Safety Score · estimate
94
Female Safety
93
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$3,008
Local Cost
$2,040
Local Income
$3,800
Cashless
89
English
62
Temperature
9.7°C
Summer Avg
19.3°C
Winter Avg
-0.1°C
Record High
36.5°C
Record Low
-20.1°C
Humidity
73%
Precipitation
1207 mm
Internet Speed
290 Mbps
Upload
82 Mbps
Latency
290 ms
City Vibrancy
22
Coworking
0
Cafes
4
Nightlife
4
Parks
14
Transport
43
Walk Score
43
Footways
86.0
Airport
LUG
Distance
6 km
Explore
Data sources
Source-backed data
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.