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Sant'Alessio in Aspromonte
City in Calabria, Italy
Overview
Sant'Alessio in Aspromonte is a tranquil hilltop village set in the Aspromonte mountains of Calabria, Italy. With fewer than 400 residents, it offers an authentic glimpse into traditional southern Italian life, stunning natural scenery, and historic charm.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
304
Time Zone
Europe/Rome
Coordinates
38.17°, 15.76°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
75
Food Safety
85
Monthly Cost · estimate
$1,279
Local Cost
$720
Local Income
$900
Cashless
25
English
30
Temperature
18.2°C
Summer Avg
25.6°C
Winter Avg
11.6°C
Record High
39.8°C
Record Low
2.4°C
Humidity
71%
Precipitation
666 mm
Internet Speed
79 Mbps
Upload
40 Mbps
Latency
44 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
REG
Distance
15 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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