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Daone
City in Trentino-South Tyrol, Italy
Overview
Set in the tranquil Daone Valley, Daone is a small alpine village known for its scenic beauty, traditional charm, and proximity to spectacular hiking trails and nature reserves. With a population of just over 500, it offers an authentic slice of rural life in Trentino-South Tyrol.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
572
Time Zone
Europe/Rome
Coordinates
45.95°, 10.62°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
68
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,462
Local Cost
$888
Local Income
$1,200
Cashless
55
English
35
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
City Vibrancy
8
Coworking
0
Cafes
1
Nightlife
4
Parks
3
Transport
4
Walk Score
4
Footways
8.0
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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