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Mason Vicentino
City in Veneto, Italy
Overview
Mason Vicentino is a picturesque small town in the Veneto region, known for its tranquil ambiance, centuries-old architecture, and warm community spirit. Set amid lush hills, it invites visitors to explore authentic Italian life away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,706
Time Zone
Europe/Rome
Coordinates
45.72°, 11.61°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,653
Local Cost
$1,002
Local Income
$1,400
Cashless
60
English
40
Temperature
14.1°C
Summer Avg
24.5°C
Winter Avg
4.1°C
Record High
39.5°C
Record Low
-8.2°C
Humidity
73%
Precipitation
878 mm
Internet Speed
314 Mbps
Upload
204 Mbps
Latency
11 ms
City Vibrancy
14
Coworking
0
Cafes
0
Nightlife
6
Parks
8
Transport
33
Walk Score
33
Footways
66.0
Airport
TSF
Distance
46 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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