Magno
City in Lombardy, Italy
Overview
Magno is a charming small town in Lombardy, Italy, set amid rolling hills and lush countryside. Renowned for its traditional culture and warm hospitality, it offers a peaceful escape from the bustle of large cities.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,447
Time Zone
Europe/Rome
Coordinates
45.71°, 10.20°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
88
Monthly Cost · estimate
$1,587
Local Cost
$1,030
Local Income
$1,200
Cashless
40
English
38
Temperature
13.7°C
Summer Avg
23.8°C
Winter Avg
3.9°C
Record High
40.0°C
Record Low
-9.7°C
Humidity
71%
Precipitation
918 mm
Internet Speed
148 Mbps
Upload
65 Mbps
Latency
9 ms
City Vibrancy
13
Coworking
0
Cafes
5
Nightlife
3
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
VBS
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 2025-12-08.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.