Inverno e Monteleone
City in Lombardy, Italy
Overview
Inverno e Monteleone is a small, picturesque town located in Lombardy, Italy, with just over 1,400 inhabitants. Known for its peaceful rural vibe and historic churches, the town offers a glimpse into authentic Lombard country life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,444
Time Zone
Europe/Rome
Coordinates
45.20°, 9.39°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,622
Local Cost
$1,040
Local Income
$1,500
Cashless
55
English
44
Temperature
13.0°C
Summer Avg
23.1°C
Winter Avg
3.2°C
Record High
39.0°C
Record Low
-12.1°C
Humidity
75%
Precipitation
831 mm
Internet Speed
21 Mbps
Upload
2 Mbps
Latency
49 ms
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
2
Parks
3
Transport
2
Walk Score
2
Footways
4.0
Airport
LIN
Distance
29 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 2025-12-08.
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.