Alagna
City in Lombardy, Italy
Overview
Alagna is a quaint alpine village set in the heart of the Monte Rosa massif in Lombardy, Italy. With only 804 residents, it offers authentic mountain culture, historic Walser architecture, and world-famous ski and hiking routes.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
804
Time Zone
Europe/Rome
Coordinates
45.17°, 8.89°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
90
Monthly Cost · estimate
$1,860
Local Cost
$1,200
Local Income
$1,400
Cashless
50
English
45
Temperature
13.7°C
Summer Avg
24.0°C
Winter Avg
3.6°C
Record High
40.8°C
Record Low
-13.1°C
Humidity
73%
Precipitation
815 mm
Internet Speed
83 Mbps
Upload
24 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
LIN
Distance
43 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.