Cogollo del Cengio
City in Veneto, Italy
Overview
Cogollo del Cengio is a picturesque village set in the foothills of the Veneto mountains, known for its serene landscapes and traditional Italian charm. With a close-knit community and access to outdoor activities, it is a peaceful retreat into authentic rural Italy.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
3,115
Time Zone
Europe/Rome
Coordinates
45.78°, 11.43°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
94
Monthly Cost · estimate
$1,417
Local Cost
$930
Local Income
$1,500
Cashless
60
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
134 Mbps
Upload
20 Mbps
Latency
17 ms
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
5
Parks
1
Transport
13
Walk Score
13
Footways
25.0
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 2025-12-07.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.