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San Vendemiano
City in Veneto, Italy
Overview
San Vendemiano is a welcoming small town set near the Prosecco hills of Veneto, known for its tranquil residential vibe and charming Italian atmosphere. It offers a taste of authentic local life, away from tourists, while still providing easy access to larger cities like Conegliano and Treviso.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
9,804
Time Zone
Europe/Rome
Coordinates
45.89°, 12.35°
Key Metrics
Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,812
Local Cost
$1,110
Local Income
$1,450
Cashless
50
English
30
Temperature
12.1°C
Summer Avg
22.1°C
Winter Avg
2.3°C
Record High
37.5°C
Record Low
-12.0°C
Humidity
73%
Precipitation
1062 mm
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
5
Parks
5
Transport
53
Walk Score
53
Footways
106.0
Airport
AVB
Distance
25 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 2025-12-07.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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