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San Vincenzo
City in Emilia-Romagna, Italy
Overview
San Vincenzo is a small but lively seaside town in Emilia-Romagna, known for its tranquil beaches, friendly community, and traditional Italian ambiance. Despite its compact size, the city offers rich culinary experiences and easy access to coastal beauty.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
1,920
Time Zone
Europe/Rome
Coordinates
44.74°, 11.44°
Key Metrics
Safety Score · estimate
84
Female Safety
78
LGBTQ+ Safety
72
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,540
Local Cost
$1,060
Local Income
$1,300
Cashless
60
English
44
Temperature
14.2°C
Summer Avg
24.9°C
Winter Avg
4.2°C
Record High
42.8°C
Record Low
-9.0°C
Humidity
72%
Precipitation
656 mm
Internet Speed
281 Mbps
Upload
156 Mbps
Latency
14 ms
City Vibrancy
9
Coworking
0
Cafes
3
Nightlife
1
Parks
5
Transport
5
Walk Score
5
Footways
9.0
Airport
BLQ
Distance
26 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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