Codisotto
City in Emilia-Romagna, Italy
Overview
Codisotto is a small village set in Emilia-Romagna, Italy, known for its welcoming locals and traditional Italian rural charm. It offers an authentic experience away from busy tourist hotspots, with scenic landscapes and local heritage.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
1,262
Time Zone
Europe/Rome
Coordinates
44.98°, 10.73°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,528
Local Cost
$978
Local Income
$1,300
Cashless
50
English
40
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
427 Mbps
Upload
213 Mbps
Latency
23 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
PMF
Distance
38 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.