Mornico Losana
City in Lombardy, Italy
Overview
Mornico Losana is a picturesque village in the Lombardy region, set amidst rolling vineyards and scenic hills. Its quiet streets, historic sites, and friendly community make it an ideal destination for travelers seeking authentic rural Italy.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
601
Time Zone
Europe/Rome
Coordinates
45.01°, 9.21°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$1,598
Local Cost
$910
Local Income
$1,500
Cashless
55
English
35
Temperature
13.0°C
Summer Avg
23.1°C
Winter Avg
3.2°C
Record High
39.0°C
Record Low
-12.1°C
Humidity
75%
Precipitation
831 mm
Internet Speed
58 Mbps
Upload
14 Mbps
Latency
18 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
8
Walk Score
8
Footways
15.0
Airport
LIN
Distance
49 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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.