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Dambel
City in Trentino-South Tyrol, Italy
Overview
Dambel is a tranquil alpine village set in the verdant Non Valley of Trentino-South Tyrol. Known for its apple orchards, rustic charm, and sweeping mountain vistas, it offers a peaceful retreat for nature lovers and those seeking authentic rural Italian experiences.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
412
Time Zone
Europe/Rome
Coordinates
46.40°, 11.09°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
96
Monthly Cost · estimate
$1,530
Local Cost
$1,030
Local Income
$1,600
Cashless
35
English
35
Temperature
3.9°C
Summer Avg
13.4°C
Winter Avg
-6.3°C
Record High
28.1°C
Record Low
-31.5°C
Humidity
81%
Precipitation
929 mm
Internet Speed
18 Mbps
Upload
1 Mbps
Latency
43 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
5
Walk Score
5
Footways
10.0
Airport
BZO
Distance
19 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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