Valdisotto
City in Lombardy, Italy
Overview
Valdisotto is a picturesque Alpine municipality set in Lombardy, Italy, known for its charming villages, natural beauty, and excellent proximity to ski resorts and thermal baths. The city boasts a relaxed pace of life and stunning views of the surrounding mountains.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
3,577
Time Zone
Europe/Rome
Coordinates
46.43°, 10.36°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,880
Local Cost
$1,170
Local Income
$1,650
Cashless
50
English
40
Temperature
1.7°C
Summer Avg
11.4°C
Winter Avg
-8.5°C
Record High
25.2°C
Record Low
-32.7°C
Humidity
82%
Precipitation
979 mm
Internet Speed
130 Mbps
Upload
31 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
14.0
Airport
SMV
Distance
38 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.