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Novate Milanese
City in Lombardy, Italy
Overview
Novate Milanese is a charming suburban town northwest of Milan, known for its friendly atmosphere and local Italian character. It is a quiet base for those wishing to explore both the Milanese metropolis and the lush Parco Nord Milano.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
19,910
Time Zone
Europe/Rome
Coordinates
45.53°, 9.14°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
69
Traffic Safety
78
Food Safety
93
Monthly Cost · estimate
$2,150
Local Cost
$1,450
Local Income
$1,700
Cashless
75
English
48
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
164 Mbps
Upload
82 Mbps
Latency
8 ms
City Vibrancy
98
Coworking
0
Cafes
38
Nightlife
10
Parks
50
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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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