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Colonno
City in Lombardy, Italy
Overview
Colonno is a picturesque lakeside village on the western shores of Lake Como in Lombardy, Italy. With its small population, historic stone houses, and peaceful atmosphere, it's an ideal getaway for those seeking authentic Italian village life away from the crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
452
Time Zone
Europe/Rome
Coordinates
45.96°, 9.15°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,043
Local Cost
$1,330
Local Income
$1,600
Cashless
65
English
40
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
39 Mbps
Upload
9 Mbps
Latency
22 ms
City Vibrancy
7
Coworking
0
Cafes
5
Nightlife
0
Parks
2
Transport
38
Walk Score
38
Footways
76.0
Airport
LUG
Distance
19 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 2025-12-08.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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