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Canneto sull'Oglio
City in Lombardy, Italy
Overview
Canneto sull'Oglio is a picturesque town in Lombardy, Italy, known for its rich local traditions, riverside scenery, and warm community spirit. The town combines historical sights and green spaces, offering visitors an authentic slice of northern Italian life away from the crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
4,247
Time Zone
Europe/Rome
Coordinates
45.15°, 10.38°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,582
Local Cost
$1,000
Local Income
$1,400
Cashless
60
English
40
Temperature
14.6°C
Summer Avg
25.6°C
Winter Avg
4.2°C
Record High
41.9°C
Record Low
-9.3°C
Humidity
72%
Precipitation
746 mm
Internet Speed
68 Mbps
Upload
13 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
12
Walk Score
12
Footways
24.0
Airport
VBS
Distance
31 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 2025-12-07.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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