Cadelbosco di Sopra
City in Emilia-Romagna, Italy
Overview
Cadelbosco di Sopra is a small town in Emilia-Romagna, Italy, known for its welcoming community, rural charm, and proximity to Reggio Emilia. Visitors will find traditional Italian living, excellent regional cuisine, and a relaxed pace of life.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
6,162
Time Zone
Europe/Rome
Coordinates
44.77°, 10.60°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
78
Food Safety
94
Monthly Cost · estimate
$1,597
Local Cost
$1,060
Local Income
$1,550
Cashless
60
English
35
Temperature
14.6°C
Summer Avg
25.6°C
Winter Avg
4.2°C
Record High
41.9°C
Record Low
-9.3°C
Humidity
72%
Precipitation
746 mm
Internet Speed
94 Mbps
Upload
17 Mbps
Latency
11 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
9
Walk Score
9
Footways
17.0
Airport
PMF
Distance
25 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.