Bagnolo Cremasco
City in Lombardy, Italy
Overview
Bagnolo Cremasco is a small, peaceful town in the Lombardy region, known for its traditional Italian charm and quiet residential atmosphere. It offers an authentic local experience, set in the scenic Po Valley and close to the city of Crema.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
4,942
Time Zone
Europe/Rome
Coordinates
45.36°, 9.61°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
83
Food Safety
97
Monthly Cost · estimate
$1,812
Local Cost
$1,040
Local Income
$1,600
Cashless
63
English
43
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
74 Mbps
Upload
19 Mbps
Latency
18 ms
City Vibrancy
9
Coworking
0
Cafes
1
Nightlife
6
Parks
2
Transport
38
Walk Score
38
Footways
75.0
Airport
LIN
Distance
28 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.