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Muan
City in South Jeolla, South Korea
Overview
Muan, located in South Jeolla Province, is famed for its tranquil rural landscapes, lively salt farms, and access to beautiful coastal scenery. As a key hub in southwestern Korea, it offers a blend of traditional Korean culture and a slower pace of life, making it ideal for those seeking authentic experiences.
Geographic Context
Jurisdiction
South Korea
Province
South Jeolla
Population
—
Time Zone
Asia/Seoul
Coordinates
34.99°, 126.48°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$910
Local Cost
$570
Local Income
$1,800
Cashless
75
English
35
Temperature
13.7°C
Summer Avg
23.3°C
Winter Avg
3.9°C
Record High
33.3°C
Record Low
-5.9°C
Humidity
80%
Precipitation
1293 mm
Internet Speed
1 Mbps
Upload
1 Mbps
Latency
48 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
MWX
Distance
9 km
Explore
Data sources
Source-backed data
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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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