Antegnate
City in Lombardy, Italy
Overview
Antegnate is a quaint, small town located in the Lombardy region of northern Italy. Known for its peaceful atmosphere, historic center, and proximity to lush countryside, it offers an authentic local Italian experience away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
3,214
Time Zone
Europe/Rome
Coordinates
45.49°, 9.79°
Key Metrics
Safety Score · estimate
84
Female Safety
82
LGBTQ+ Safety
75
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,671
Local Cost
$988
Local Income
$1,750
Cashless
68
English
35
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
64 Mbps
Upload
8 Mbps
Latency
11 ms
City Vibrancy
9
Coworking
0
Cafes
3
Nightlife
1
Parks
5
Transport
51
Walk Score
51
Footways
101.0
Airport
BGY
Distance
22 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.