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Tonezza del Cimone
City in Veneto, Italy
Overview
Tonezza del Cimone is a tranquil mountain village in the Veneto region, set amid the lush Venetian Prealps. With around 500 residents, it offers unspoiled natural beauty, charming rural traditions, and a peaceful atmosphere ideal for relaxation and outdoor activities.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
500
Time Zone
Europe/Rome
Coordinates
45.86°, 11.35°
Key Metrics
Safety Score · estimate
93
Female Safety
80
LGBTQ+ Safety
62
Traffic Safety
85
Food Safety
93
Monthly Cost · estimate
$1,390
Local Cost
$900
Local Income
$1,150
Cashless
35
English
30
Temperature
7.6°C
Summer Avg
17.2°C
Winter Avg
-2.1°C
Record High
35.5°C
Record Low
-20.1°C
Humidity
78%
Precipitation
990 mm
Internet Speed
217 Mbps
Upload
40 Mbps
Latency
34 ms
City Vibrancy
9
Coworking
0
Cafes
2
Nightlife
4
Parks
3
Transport
29
Walk Score
29
Footways
58.0
Airport
—
Distance
—
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 2026-03-23.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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