Vò
City in Veneto, Italy
Overview
Vò is a charming small town in Veneto, Italy, renowned for its scenic vineyards and quiet, authentic atmosphere. With under 1,000 residents, it provides an ideal escape for those seeking rural tranquility, good wine, and rich local culture.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
909
Time Zone
Europe/Rome
Coordinates
45.33°, 11.64°
Key Metrics
Safety Score · estimate
88
Female Safety
80
LGBTQ+ Safety
62
Traffic Safety
83
Food Safety
95
Monthly Cost · estimate
$1,386
Local Cost
$910
Local Income
$1,350
Cashless
58
English
45
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
272 Mbps
Upload
172 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
35.0
Airport
—
Distance
—
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.