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Vignone
City in Piedmont, Italy
Overview
Vignone is a picturesque hilltop village in the Piedmont region, overlooking Lake Maggiore. This small Italian commune boasts charming stone houses, stunning lake vistas, and a peaceful rural ambiance, making it ideal for a relaxed retreat.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
1,195
Time Zone
Europe/Rome
Coordinates
45.96°, 8.56°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,767
Local Cost
$1,042
Local Income
$1,450
Cashless
55
English
40
Temperature
9.7°C
Summer Avg
19.3°C
Winter Avg
-0.1°C
Record High
36.5°C
Record Low
-20.1°C
Humidity
73%
Precipitation
1207 mm
Internet Speed
314 Mbps
Upload
152 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
15
Walk Score
15
Footways
30.0
Airport
LUG
Distance
27 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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