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Inveruno
City in Lombardy, Italy
Overview
Inveruno is a peaceful small town in Lombardy, Italy, known for its traditional charm, well-kept parks, and a strong sense of community. It provides an authentic taste of northern Italian life with easy access to Milan and the rural countryside.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
8,436
Time Zone
Europe/Rome
Coordinates
45.51°, 8.85°
Key Metrics
Safety Score · estimate
83
Female Safety
78
LGBTQ+ Safety
68
Traffic Safety
74
Food Safety
92
Monthly Cost · estimate
$1,792
Local Cost
$1,242
Local Income
$1,550
Cashless
73
English
48
Temperature
13.1°C
Summer Avg
23.0°C
Winter Avg
3.2°C
Record High
39.2°C
Record Low
-13.7°C
Humidity
72%
Precipitation
981 mm
Internet Speed
101 Mbps
Upload
14 Mbps
Latency
14 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
41
Walk Score
41
Footways
82.0
Airport
MXP
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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