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Zenson di Piave
City in Veneto, Italy
Overview
Zenson di Piave is a tranquil village in Veneto, Italy, set near the Piave River with a rich blend of local culture and rural charm. With a low-key atmosphere and proximity to larger towns, it's ideal for visitors seeking authenticity.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,744
Time Zone
Europe/Rome
Coordinates
45.68°, 12.49°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
99
Monthly Cost · estimate
$1,552
Local Cost
$905
Local Income
$1,400
Cashless
55
English
35
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
89 Mbps
Upload
19 Mbps
Latency
15 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
3
Parks
5
Transport
4
Walk Score
4
Footways
8.0
Airport
VCE
Distance
22 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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