Offanengo
City in Lombardy, Italy
Overview
Offanengo is a welcoming small town in the Lombardy region, known for its tranquil pace, friendly locals, and historic charm. Ideal for visitors seeking an authentic Italian village experience, it balances rural beauty with a lively community spirit.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
5,954
Time Zone
Europe/Rome
Coordinates
45.38°, 9.74°
Key Metrics
Safety Score · estimate
89
Female Safety
85
LGBTQ+ Safety
68
Traffic Safety
82
Food Safety
92
Monthly Cost · estimate
$1,543
Local Cost
$1,000
Local Income
$1,550
Cashless
72
English
56
Temperature
13.7°C
Summer Avg
23.8°C
Winter Avg
3.9°C
Record High
40.0°C
Record Low
-9.7°C
Humidity
71%
Precipitation
918 mm
Internet Speed
36 Mbps
Upload
8 Mbps
Latency
10 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
4
Parks
3
Transport
56
Walk Score
56
Footways
111.0
Airport
BGY
Distance
33 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.