San Pietro in Volta
City in Veneto, Italy
Overview
San Pietro in Volta is a picturesque village on Pellestrina Island, in the Venetian Lagoon. With its tranquil canals, colorful homes, and strong local traditions, it offers an authentic slice of Venetian island life away from the bustle of Venice.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,140
Time Zone
Europe/Rome
Coordinates
45.32°, 12.32°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,735
Local Cost
$1,080
Local Income
$1,450
Cashless
40
English
45
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
51 Mbps
Upload
15 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
29
Walk Score
29
Footways
58.0
Airport
VCE
Distance
21 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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.