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San Ferdinando
City in Calabria, Italy
Overview
San Ferdinando is a tranquil seaside town in Calabria, Italy, known for its relaxed pace, friendly community, and beautiful coastline. While relatively small, it offers visitors traditional Southern Italian culture and easy access to the beaches of the Tyrrhenian Sea.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
4,269
Time Zone
Europe/Rome
Coordinates
38.48°, 15.92°
Key Metrics
Safety Score · estimate
72
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
68
Food Safety
80
Monthly Cost · estimate
$1,438
Local Cost
$830
Local Income
$1,050
Cashless
40
English
35
Temperature
18.6°C
Summer Avg
24.8°C
Winter Avg
12.9°C
Record High
35.0°C
Record Low
4.2°C
Humidity
75%
Precipitation
861 mm
Internet Speed
102 Mbps
Upload
74 Mbps
Latency
20 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
0
Parks
8
Transport
39
Walk Score
39
Footways
78.0
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 2025-12-07.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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