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Stenico
City in Trentino-South Tyrol, Italy
Overview
Stenico is a quaint Alpine village in Trentino-South Tyrol, renowned for its medieval castle and lush mountain scenery. The town provides a peaceful Italian countryside experience with easy access to the Adamello Brenta Nature Park.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
1,160
Time Zone
Europe/Rome
Coordinates
46.05°, 10.86°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
93
Food Safety
97
Monthly Cost · estimate
$1,698
Local Cost
$1,040
Local Income
$1,550
Cashless
60
English
40
Temperature
6.2°C
Summer Avg
15.7°C
Winter Avg
-3.6°C
Record High
31.0°C
Record Low
-22.4°C
Humidity
77%
Precipitation
1063 mm
Internet Speed
213 Mbps
Upload
106 Mbps
Latency
15 ms
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
1
Parks
1
Transport
13
Walk Score
13
Footways
25.0
Airport
—
Distance
—
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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