Soveria Mannelli
City in Calabria, Italy
Overview
Soveria Mannelli is a small town set in the scenic mountains of Calabria. With its charming historic center, friendly residents, and tranquil countryside, it offers an authentic taste of southern Italian life away from the tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
2,835
Time Zone
Europe/Rome
Coordinates
39.08°, 16.38°
Key Metrics
Safety Score · estimate
80
Female Safety
72
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
88
Monthly Cost · estimate
$1,469
Local Cost
$828
Local Income
$1,200
Cashless
35
English
30
Temperature
15.9°C
Summer Avg
23.8°C
Winter Avg
8.9°C
Record High
38.4°C
Record Low
-2.8°C
Humidity
75%
Precipitation
968 mm
Internet Speed
60 Mbps
Upload
31 Mbps
Latency
26 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SUF
Distance
22 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.