Portocannone
City in Molise, Italy
Overview
Portocannone is a charming small town in the Molise region, renowned for its Arbëreshë heritage and inviting rural landscapes. Its welcoming atmosphere, local festivals, and historic landmarks make it an appealing stop for travelers seeking an authentic Italian village experience.
Geographic Context
Jurisdiction
Italy
Region
Molise
Population
2,335
Time Zone
Europe/Rome
Coordinates
41.91°, 15.01°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
63
Traffic Safety
70
Food Safety
82
Monthly Cost · estimate
$1,622
Local Cost
$900
Local Income
$1,100
Cashless
45
English
35
Temperature
17.2°C
Summer Avg
25.6°C
Winter Avg
9.9°C
Record High
39.4°C
Record Low
-0.7°C
Humidity
70%
Precipitation
571 mm
Internet Speed
196 Mbps
Upload
153 Mbps
Latency
24 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.