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Cenate Sopra
City in Lombardy, Italy
Overview
Cenate Sopra is a picturesque village in Lombardy, surrounded by rolling hills and vineyards. Known for its peaceful atmosphere and traditional Italian charm, it makes a relaxing base for exploring northern Italy's countryside.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
2,510
Time Zone
Europe/Rome
Coordinates
45.71°, 9.82°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
77
Traffic Safety
85
Food Safety
94
Monthly Cost · estimate
$1,700
Local Cost
$1,150
Local Income
$1,550
Cashless
60
English
45
Temperature
13.7°C
Summer Avg
23.8°C
Winter Avg
3.9°C
Record High
40.0°C
Record Low
-9.7°C
Humidity
71%
Precipitation
918 mm
Internet Speed
245 Mbps
Upload
122 Mbps
Latency
9 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
3
Parks
3
Transport
28
Walk Score
28
Footways
55.0
Airport
BGY
Distance
10 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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