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Malavicina
City in Lombardy, Italy
Overview
Malavicina is a picturesque rural village in Lombardy, Italy, known for its peaceful atmosphere, charming historic center, and proximity to lush farmland. With a tight-knit community and local traditions, it offers a relaxing escape from city life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,952
Time Zone
Europe/Rome
Coordinates
45.30°, 10.79°
Key Metrics
Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
67
Traffic Safety
80
Food Safety
94
Monthly Cost · estimate
$1,638
Local Cost
$995
Local Income
$1,600
Cashless
62
English
55
Temperature
13.2°C
Summer Avg
23.5°C
Winter Avg
3.2°C
Record High
39.0°C
Record Low
-10.9°C
Humidity
71%
Precipitation
865 mm
Internet Speed
31 Mbps
Upload
11 Mbps
Latency
16 ms
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
2
Parks
0
Transport
7
Walk Score
7
Footways
14.0
Airport
VRN
Distance
13 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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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