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Sofikón
City in Peloponnese, Greece
Overview
Sofikón is a tranquil village in the Peloponnese known for its traditional Greek charm, picturesque landscapes, and friendly community. It's an ideal destination for those looking to experience authentic rural Greece away from tourist crowds.
Geographic Context
Jurisdiction
Greece
Administrative Region
Peloponnese
Population
—
Time Zone
Europe/Athens
Coordinates
37.79°, 23.05°
Key Metrics
Safety Score · estimate
78
Female Safety
74
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
92
Monthly Cost · estimate
$1,322
Local Cost
$760
Local Income
$800
Cashless
40
English
35
Temperature
17.6°C
Summer Avg
26.7°C
Winter Avg
9.3°C
Record High
42.0°C
Record Low
-4.0°C
Humidity
67%
Precipitation
535 mm
Internet Speed
45 Mbps
Upload
5 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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 2025-12-09.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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