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Muzza di Cornegliano Laudense
City in Lombardy, Italy
Overview
Muzza di Cornegliano Laudense is a small town in Lombardy, Italy, blending classic rural charm with easy access to northern Italian cities. With tranquil neighborhoods and close-knit local life, it's ideal for those seeking an authentic Italian atmosphere away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
—
Time Zone
Europe/Rome
Coordinates
45.28°, 9.47°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
68
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,905
Local Cost
$1,180
Local Income
$1,500
Cashless
60
English
45
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
47 Mbps
Upload
19 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
44
Walk Score
44
Footways
88.0
Airport
LIN
Distance
24 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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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