San Zenone al Lambro
City in Lombardy, Italy
Overview
San Zenone al Lambro is a tranquil small town in Lombardy, just outside Milan. Known for its peaceful atmosphere, local charm, and proximity to the Lambro river, it offers an authentic Italian experience away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
4,429
Time Zone
Europe/Rome
Coordinates
45.33°, 9.36°
Key Metrics
Safety Score · estimate
88
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,763
Local Cost
$1,087
Local Income
$1,550
Cashless
60
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
134 Mbps
Upload
26 Mbps
Latency
25 ms
City Vibrancy
29
Coworking
0
Cafes
5
Nightlife
1
Parks
23
Transport
35
Walk Score
35
Footways
69.0
Airport
LIN
Distance
15 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.