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Gambellara
City in Veneto, Italy
Overview
Gambellara is a picturesque village in the Veneto region, known for its rolling vineyards and production of Soave wines. The town offers a peaceful atmosphere, rich culinary traditions, and beautiful views of the Italian countryside.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
3,426
Time Zone
Europe/Rome
Coordinates
45.46°, 11.34°
Key Metrics
Safety Score · estimate
81
Female Safety
78
LGBTQ+ Safety
66
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,430
Local Cost
$940
Local Income
$1,550
Cashless
43
English
28
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
27 Mbps
Upload
4 Mbps
Latency
28 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
4
Parks
2
Transport
1
Walk Score
1
Footways
2.0
Airport
VRN
Distance
36 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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