Calerno
City in Emilia-Romagna, Italy
Overview
Calerno is a small, tranquil town set in Emilia-Romagna, celebrated for its warm community atmosphere and traditional charm. Its size makes it perfect for those seeking an authentic Italian village experience away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
2,093
Time Zone
Europe/Rome
Coordinates
44.75°, 10.49°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
77
Food Safety
95
Monthly Cost · estimate
$1,779
Local Cost
$1,075
Local Income
$1,400
Cashless
45
English
35
Temperature
13.1°C
Summer Avg
23.7°C
Winter Avg
3.4°C
Record High
40.6°C
Record Low
-11.9°C
Humidity
72%
Precipitation
675 mm
Internet Speed
203 Mbps
Upload
147 Mbps
Latency
16 ms
City Vibrancy
9
Coworking
0
Cafes
0
Nightlife
4
Parks
5
Transport
27
Walk Score
27
Footways
53.0
Airport
PMF
Distance
17 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.