Canove di Roana
City in Veneto, Italy
Overview
Canove di Roana is a tranquil alpine town in the Veneto region, surrounded by lush forests and the natural beauty of the Asiago Plateau. Renowned for its fresh air, outdoor activities, and charming mountain atmosphere, the town is a relaxing destination year-round.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
—
Time Zone
Europe/Rome
Coordinates
45.86°, 11.47°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,650
Local Cost
$980
Local Income
$1,500
Cashless
50
English
35
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
97 Mbps
Upload
8 Mbps
Latency
41 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
22
Walk Score
22
Footways
44.0
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 2025-12-09.
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 2026-03-22.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.