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Fino del Monte
City in Lombardy, Italy
Overview
Fino del Monte is a picturesque mountain village in Lombardy, Italy, known for its peaceful atmosphere, alpine landscapes, and historic charm. The setting is ideal for those seeking relaxation, nature, and authenticity away from crowded tourist centers.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,163
Time Zone
Europe/Rome
Coordinates
45.89°, 9.99°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,654
Local Cost
$1,052
Local Income
$1,600
Cashless
60
English
35
Temperature
6.4°C
Summer Avg
15.6°C
Winter Avg
-2.9°C
Record High
31.3°C
Record Low
-22.9°C
Humidity
77%
Precipitation
1297 mm
Internet Speed
170 Mbps
Upload
92 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
30
Walk Score
30
Footways
60.0
Airport
BGY
Distance
33 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 2026-03-22.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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