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Motta Camastra
City in Sicily, Italy
Overview
Motta Camastra is a small, scenic village perched in the hills of eastern Sicily, famed for its proximity to the dramatic Alcantara Gorges. The town offers a blend of authentic Sicilian culture, tranquil nature, and stunning mountain vistas.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Sicily
Population
794
Time Zone
Europe/Rome
Coordinates
37.89°, 15.17°
Key Metrics
Safety Score · estimate
82
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
78
Food Safety
90
Monthly Cost · estimate
$1,428
Local Cost
$800
Local Income
$950
Cashless
30
English
25
Temperature
16.5°C
Summer Avg
24.4°C
Winter Avg
9.4°C
Record High
39.9°C
Record Low
-0.2°C
Humidity
73%
Precipitation
626 mm
Internet Speed
20 Mbps
Upload
3 Mbps
Latency
131 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
7
Walk Score
7
Footways
13.0
Airport
REG
Distance
46 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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