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San Luca
City in Calabria, Italy
Overview
San Luca is a picturesque small town set in the heart of southern Calabria, Italy, with a strong local character and a gateway to the Aspromonte National Park. Steeped in tradition, the town is known for its rugged landscapes, historical sites, and warm community spirit.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
3,438
Time Zone
Europe/Rome
Coordinates
38.15°, 16.07°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
75
Monthly Cost · estimate
$1,282
Local Cost
$720
Local Income
$900
Cashless
20
English
30
Temperature
18.5°C
Summer Avg
25.5°C
Winter Avg
12.4°C
Record High
37.4°C
Record Low
2.7°C
Humidity
73%
Precipitation
689 mm
Internet Speed
36 Mbps
Upload
13 Mbps
Latency
33 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
22
Walk Score
22
Footways
43.0
Airport
REG
Distance
38 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.
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