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Tavernelle
City in Veneto, Italy
Overview
Tavernelle is a small, tranquil village in Veneto, Italy, offering authentic rural charm and a glimpse into traditional Italian village life. With under 200 inhabitants, it is a peaceful escape surrounded by vineyards and the rolling Colli Euganei hills.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
154
Time Zone
Europe/Rome
Coordinates
45.51°, 11.45°
Key Metrics
Safety Score · estimate
85
Female Safety
70
LGBTQ+ Safety
60
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,523
Local Cost
$815
Local Income
$1,400
Cashless
35
English
30
Temperature
13.2°C
Summer Avg
23.5°C
Winter Avg
3.1°C
Record High
38.9°C
Record Low
-10.8°C
Humidity
72%
Precipitation
864 mm
Internet Speed
179 Mbps
Upload
101 Mbps
Latency
13 ms
City Vibrancy
45
Coworking
0
Cafes
3
Nightlife
14
Parks
28
Transport
46
Walk Score
46
Footways
92.0
Airport
VRN
Distance
46 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 2025-12-09.
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 2026-03-23.
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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