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Magasa
City in Lombardy, Italy
Overview
Magasa is a tiny mountain village in Lombardy, Italy, set in the picturesque Valvestino Valley near Lake Garda. Known for its peaceful atmosphere, historic stone architecture, and pristine natural beauty, it offers an authentic taste of rural Italian life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
106
Time Zone
Europe/Rome
Coordinates
45.78°, 10.62°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,297
Local Cost
$892
Local Income
$1,100
Cashless
35
English
20
Temperature
6.2°C
Summer Avg
15.7°C
Winter Avg
-3.6°C
Record High
31.0°C
Record Low
-22.4°C
Humidity
77%
Precipitation
1063 mm
Internet Speed
30 Mbps
Upload
3 Mbps
Latency
16 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VBS
Distance
45 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 2025-12-09.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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