San Liberale
City in Veneto, Italy
Overview
San Liberale is a small, picturesque village in the Veneto region, blending rural tranquility with historic charm. Known for its welcoming community and proximity to Venice and the lagoon, it offers an authentic local experience within a peaceful countryside setting.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
2,298
Time Zone
Europe/Rome
Coordinates
45.55°, 12.34°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,810
Local Cost
$1,220
Local Income
$1,400
Cashless
55
English
40
Temperature
15.1°C
Summer Avg
24.5°C
Winter Avg
6.0°C
Record High
35.8°C
Record Low
-5.2°C
Humidity
73%
Precipitation
942 mm
Internet Speed
36 Mbps
Upload
11 Mbps
Latency
24 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
29
Walk Score
29
Footways
58.0
Airport
VCE
Distance
5 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.