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Ravanusa
City in Sicily, Italy
Overview
Ravanusa is a charming Sicilian town set amid rolling hills, known for its deep-rooted traditions and welcoming community. Visitors can explore historical landmarks, scenic countryside, and authentic southern Italian culture away from crowds.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Sicily
Population
10,349
Time Zone
Europe/Rome
Coordinates
37.27°, 13.97°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
85
Monthly Cost · estimate
$1,388
Local Cost
$780
Local Income
$1,000
Cashless
40
English
30
Temperature
16.3°C
Summer Avg
25.0°C
Winter Avg
8.8°C
Record High
41.7°C
Record Low
-1.8°C
Humidity
73%
Precipitation
667 mm
Internet Speed
73 Mbps
Upload
14 Mbps
Latency
28 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
1
Parks
6
Transport
48
Walk Score
48
Footways
96.0
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 2025-12-07.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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