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Amorgós
City in South Aegean, Greece
Overview
Amorgós is a tranquil Greek island in the South Aegean, famed for its dramatic cliffs, crystalline waters, and unspoiled villages. With only 441 residents, it offers an authentic Cycladic experience amid wild landscapes and rich history.
Geographic Context
Jurisdiction
Greece
Administrative Region
South Aegean
Population
441
Time Zone
Europe/Athens
Coordinates
36.83°, 25.90°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
82
Monthly Cost · estimate
$1,553
Local Cost
$970
Local Income
$850
Cashless
60
English
65
Temperature
18.7°C
Summer Avg
24.4°C
Winter Avg
13.5°C
Record High
32.6°C
Record Low
3.4°C
Humidity
76%
Precipitation
484 mm
Internet Speed
29 Mbps
Upload
6 Mbps
Latency
25 ms
City Vibrancy
8
Coworking
0
Cafes
7
Nightlife
1
Parks
0
Transport
14
Walk Score
14
Footways
28.0
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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