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Santo Stefano
City in Calabria, Italy
Overview
Santo Stefano is a quaint Calabrian village set in the Aspromonte foothills, offering an authentic taste of southern Italy. With just over 300 residents, it stands out for its slow pace, rustic architecture, and warm local hospitality.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
324
Time Zone
Europe/Rome
Coordinates
39.35°, 16.20°
Key Metrics
Safety Score · estimate
85
Female Safety
70
LGBTQ+ Safety
40
Traffic Safety
80
Food Safety
85
Monthly Cost · estimate
$1,367
Local Cost
$810
Local Income
$900
Cashless
20
English
25
Temperature
14.8°C
Summer Avg
23.5°C
Winter Avg
7.1°C
Record High
39.7°C
Record Low
-4.9°C
Humidity
76%
Precipitation
998 mm
Internet Speed
203 Mbps
Upload
123 Mbps
Latency
29 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SUF
Distance
49 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 2026-03-23.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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