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San Cosmo Albanese
City in Calabria, Italy
Overview
San Cosmo Albanese is a scenic, hilltop village in Calabria with a unique Arbëreshë heritage. Its historic streets, local festivals, and friendly ambiance make it a quiet retreat for travelers seeking authentic Southern Italy. The town's small size ensures an intimate experience amid rural landscapes.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
584
Time Zone
Europe/Rome
Coordinates
39.58°, 16.41°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,257
Local Cost
$680
Local Income
$950
Cashless
30
English
20
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
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
4
Walk Score
4
Footways
7.0
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 2026-03-23.
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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