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San Bernardo
City in Trentino-South Tyrol, Italy
Overview
San Bernardo is a picturesque village set in Trentino-South Tyrol's mountains, ideal for those seeking authentic alpine charm and peaceful surroundings. With a small population, it offers a warm community feel and direct access to breathtaking natural landscapes.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
323
Time Zone
Europe/Rome
Coordinates
46.40°, 10.84°
Key Metrics
Safety Score · estimate
86
Female Safety
78
LGBTQ+ Safety
63
Traffic Safety
84
Food Safety
92
Monthly Cost · estimate
$1,562
Local Cost
$990
Local Income
$1,350
Cashless
60
English
44
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
62 Mbps
Upload
16 Mbps
Latency
19 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
BZO
Distance
37 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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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