Malegno
City in Lombardy, Italy
Overview
Malegno is a picturesque village in Northern Italy's Lombardy region, set in the mountains of Valle Camonica. With its historic charm, close-knit community, and abundance of natural beauty, Malegno offers a tranquil escape from urban life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
2,006
Time Zone
Europe/Rome
Coordinates
45.95°, 10.27°
Key Metrics
Safety Score · estimate
80
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,627
Local Cost
$980
Local Income
$1,400
Cashless
50
English
35
Temperature
6.4°C
Summer Avg
15.6°C
Winter Avg
-2.9°C
Record High
31.3°C
Record Low
-22.9°C
Humidity
77%
Precipitation
1297 mm
Internet Speed
213 Mbps
Upload
101 Mbps
Latency
10 ms
City Vibrancy
22
Coworking
0
Cafes
2
Nightlife
4
Parks
16
Transport
100
Walk Score
100
Footways
217.0
Airport
—
Distance
—
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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.