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Calcinato
City in Lombardy, Italy
Overview
Calcinato is a small, welcoming town in the Lombardy region of northern Italy, blending historic architecture with a calm rural charm. Its close-knit community, peaceful streets, and easy access to larger cities make it a pleasant stop for those seeking authentic Italian life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
12,862
Time Zone
Europe/Rome
Coordinates
45.46°, 10.41°
Key Metrics
Safety Score · estimate
78
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$1,660
Local Cost
$1,060
Local Income
$1,650
Cashless
58
English
30
Temperature
13.2°C
Summer Avg
23.5°C
Winter Avg
3.2°C
Record High
39.0°C
Record Low
-10.9°C
Humidity
71%
Precipitation
865 mm
City Vibrancy
11
Coworking
0
Cafes
3
Nightlife
2
Parks
6
Transport
23
Walk Score
23
Footways
45.0
Airport
VBS
Distance
7 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 2025-12-06.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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