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Masate
City in Lombardy, Italy
Overview
Masate is a small, tranquil town in the Lombardy region, offering a genuine taste of Italian village life just outside Milan's metropolitan area. Visitors can enjoy quiet streets, traditional local cuisine, and charming rural scenery.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
3,779
Time Zone
Europe/Rome
Coordinates
45.57°, 9.46°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
93
Monthly Cost · estimate
$1,942
Local Cost
$1,162
Local Income
$1,750
Cashless
55
English
40
Temperature
13.3°C
Summer Avg
23.2°C
Winter Avg
3.6°C
Record High
38.5°C
Record Low
-12.1°C
Humidity
73%
Precipitation
984 mm
Internet Speed
108 Mbps
Upload
51 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
46
Walk Score
46
Footways
92.0
Airport
LIN
Distance
20 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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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