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Ceranova
City in Lombardy, Italy
Overview
Ceranova is a small town in Lombardy, Italy, offering a serene village atmosphere just a short drive from Pavia. Its historic center and green surroundings make it ideal for experiencing authentic rural Italian life, away from city crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
2,302
Time Zone
Europe/Rome
Coordinates
45.26°, 9.24°
Key Metrics
Safety Score · estimate
81
Female Safety
80
LGBTQ+ Safety
72
Traffic Safety
82
Food Safety
93
Monthly Cost · estimate
$1,895
Local Cost
$1,150
Local Income
$1,500
Cashless
68
English
40
Temperature
13.3°C
Summer Avg
23.2°C
Winter Avg
3.6°C
Record High
38.5°C
Record Low
-12.1°C
Humidity
73%
Precipitation
984 mm
Internet Speed
22 Mbps
Upload
2 Mbps
Latency
26 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
25
Walk Score
25
Footways
49.0
Airport
LIN
Distance
21 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 2025-12-08.
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 2026-03-22.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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