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Canzo
City in Lombardy, Italy
Overview
Canzo is a picturesque small town in Lombardy, set among the pre-Alpine hills just north of Como. Renowned for its historic charm, natural beauty, and friendly local atmosphere, it's a relaxing getaway from larger cities.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
5,062
Time Zone
Europe/Rome
Coordinates
45.85°, 9.27°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,882
Local Cost
$1,180
Local Income
$1,800
Cashless
60
English
35
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
Internet Speed
347 Mbps
Upload
133 Mbps
Latency
14 ms
City Vibrancy
11
Coworking
0
Cafes
3
Nightlife
4
Parks
4
Transport
23
Walk Score
23
Footways
45.0
Airport
LUG
Distance
33 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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