Pero
City in Lombardy, Italy
Overview
Pero is a peaceful Milanese suburb known for its local charm, proximity to Milan, and convenient access to the massive Fiera Milano exhibition complex. The city blends traditional Italian daily life with easy business and commuter links into central Milan.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
11,606
Time Zone
Europe/Rome
Coordinates
45.51°, 9.09°
Key Metrics
Safety Score · estimate
83
Female Safety
78
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$2,282
Local Cost
$1,500
Local Income
$1,800
Cashless
80
English
60
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
133 Mbps
Upload
57 Mbps
Latency
7 ms
City Vibrancy
58
Coworking
0
Cafes
17
Nightlife
3
Parks
38
Transport
100
Walk Score
100
Footways
522.0
Airport
LIN
Distance
16 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.