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Roverè Veronese
City in Veneto, Italy
Overview
Roverè Veronese is a peaceful village set in the Lessinia hills of Veneto, offering a taste of authentic rural Italy. Known for its picturesque landscapes, stone buildings, and proximity to nature reserves, this town is ideal for visitors seeking quiet and local charm away from crowds.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
2,119
Time Zone
Europe/Rome
Coordinates
45.59°, 11.07°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,640
Local Cost
$1,090
Local Income
$1,100
Cashless
60
English
35
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
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
2
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
VRN
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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