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San Fili
City in Calabria, Italy
Overview
San Fili is a charming hilltop town in Calabria, Italy, notable for its rustic beauty, historical architecture, and tight-knit community. With traditional stone buildings and peaceful countryside surroundings, it's an authentic spot for experiencing local Italian life.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
2,488
Time Zone
Europe/Rome
Coordinates
39.34°, 16.14°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,328
Local Cost
$750
Local Income
$1,050
Cashless
30
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
298 Mbps
Upload
172 Mbps
Latency
20 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
5
Parks
2
Transport
2
Walk Score
2
Footways
4.0
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 2025-12-07.
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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