Cologna-Caraverio
City in Lombardy, Italy
Overview
Cologna-Caraverio is a charming Lombard town blending old-world Italian character with relaxing rural surroundings. Its walkable center, authentic local cuisine, and proximity to vineyards make it an inviting destination for a slower-paced Italian escape.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
—
Time Zone
Europe/Rome
Coordinates
45.76°, 9.35°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
63
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$2,090
Local Cost
$1,216
Local Income
$1,700
Cashless
60
English
35
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
Internet Speed
29 Mbps
Upload
22 Mbps
Latency
12 ms
City Vibrancy
10
Coworking
0
Cafes
3
Nightlife
4
Parks
3
Transport
3
Walk Score
3
Footways
6.0
Airport
BGY
Distance
29 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 2025-12-09.
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 2026-03-21.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.