San Vito di Leguzzano
City in Veneto, Italy
Overview
San Vito di Leguzzano is a picturesque small town in the Veneto region, known for its tranquil ambiance and authentic northern Italian charm. With its historic center, welcoming locals, and easy access to the Vicentine hills, it's an ideal spot for travelers seeking relaxation and genuine Italian experiences.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
3,218
Time Zone
Europe/Rome
Coordinates
45.68°, 11.39°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,569
Local Cost
$990
Local Income
$1,450
Cashless
60
English
35
Temperature
13.2°C
Summer Avg
23.5°C
Winter Avg
3.1°C
Record High
38.9°C
Record Low
-10.8°C
Humidity
72%
Precipitation
864 mm
City Vibrancy
10
Coworking
0
Cafes
1
Nightlife
4
Parks
5
Transport
30
Walk Score
30
Footways
60.0
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 2025-12-07.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.