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Doues
City in Aosta Valley, Italy
Overview
Doues is a picturesque mountain village in the Aosta Valley, Italy, known for its stunning vistas, peaceful ambiance, and rustic Alpine charm. Surrounded by pastures and forests, it's a haven for nature lovers and those seeking authentic slow travel.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Aosta Valley
Population
512
Time Zone
Europe/Rome
Coordinates
45.82°, 7.31°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
68
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,605
Local Cost
$980
Local Income
$1,450
Cashless
34
English
30
Temperature
0.0°C
Summer Avg
9.3°C
Winter Avg
-9.5°C
Record High
22.7°C
Record Low
-28.6°C
Humidity
81%
Precipitation
946 mm
Internet Speed
63 Mbps
Upload
33 Mbps
Latency
10 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
4
Walk Score
4
Footways
8.0
Airport
AOT
Distance
10 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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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