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Bionaz
City in Aosta Valley, Italy
Overview
Bionaz is a serene mountain village in Italy's Aosta Valley, famed for its stunning alpine landscapes and peaceful rural ambiance. With a population of just over 200, it offers visitors a close-to-nature experience in a traditional, unspoiled setting.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Aosta Valley
Population
221
Time Zone
Europe/Rome
Coordinates
45.87°, 7.42°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
95
Food Safety
93
Monthly Cost · estimate
$1,565
Local Cost
$910
Local Income
$1,200
Cashless
30
English
25
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
61 Mbps
Upload
13 Mbps
Latency
10 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
AOT
Distance
16 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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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