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Stanghe
City in Trentino-South Tyrol, Italy
Overview
Stanghe is a picturesque alpine village tucked in the Trentino-South Tyrol region of northern Italy. Known for its dramatic gorge and lush landscapes, it offers a peaceful retreat for nature lovers and hikers.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
—
Time Zone
Europe/Rome
Coordinates
46.88°, 11.38°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,782
Local Cost
$1,070
Local Income
$1,700
Cashless
50
English
55
Temperature
1.3°C
Summer Avg
10.7°C
Winter Avg
-8.4°C
Record High
30.2°C
Record Low
-29.7°C
Humidity
86%
Precipitation
1166 mm
Internet Speed
46 Mbps
Upload
45 Mbps
Latency
12 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
14.0
Airport
INN
Distance
42 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 2025-12-09.
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 2026-03-21.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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