Cesano Boscone
City in Lombardy, Italy
Overview
Cesano Boscone is a charming small town in the Lombardy region, just west of Milan. Known for its strong community life, green spaces, and proximity to the city, it blends tradition and convenience, making it ideal for both relaxation and urban access.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
23,335
Time Zone
Europe/Rome
Coordinates
45.44°, 9.09°
Key Metrics
Safety Score · estimate
80
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,890
Local Cost
$1,260
Local Income
$1,650
Cashless
70
English
55
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
287 Mbps
Upload
167 Mbps
Latency
8 ms
City Vibrancy
110
Coworking
0
Cafes
42
Nightlife
10
Parks
58
Transport
0
Walk Score
0
Footways
—
Airport
LIN
Distance
14 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.