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Gignod
City in Aosta Valley, Italy
Overview
Gignod is a peaceful mountain village set in the Aosta Valley, just a few kilometers north of the city of Aosta. Rich in history and Alpine culture, it's the perfect base for exploring nature, medieval landmarks, and authentic Italian mountain life.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Aosta Valley
Population
1,675
Time Zone
Europe/Rome
Coordinates
45.78°, 7.30°
Key Metrics
Safety Score · estimate
93
Female Safety
85
LGBTQ+ Safety
68
Traffic Safety
95
Food Safety
97
Monthly Cost · estimate
$1,525
Local Cost
$1,030
Local Income
$1,450
Cashless
48
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
14 Mbps
Upload
20 Mbps
Latency
14 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
2
Parks
1
Transport
4
Walk Score
4
Footways
7.0
Airport
AOT
Distance
7 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 2026-03-22.
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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