Missaglia
City in Lombardy, Italy
Overview
Missaglia is a charming town in Lombardy, Italy, blending rustic beauty with a friendly community. Known for its historic core, lush parks, and scenic views, it's popular among locals and weekend travelers from Milan and Lecco.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
8,824
Time Zone
Europe/Rome
Coordinates
45.71°, 9.33°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,942
Local Cost
$1,050
Local Income
$1,600
Cashless
70
English
50
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
101 Mbps
Upload
17 Mbps
Latency
17 ms
City Vibrancy
19
Coworking
0
Cafes
9
Nightlife
4
Parks
6
Transport
43
Walk Score
43
Footways
85.0
Airport
BGY
Distance
29 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.