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Seosan-si
City in South Chungcheong, South Korea
Overview
Seosan-si is a lively mid-sized city anchoring the West Coast of South Chungcheong Province, known for its historic sites, tranquil urban parks, and lively local culture. The city offers a welcoming blend of tradition and modernity, making it appealing to both visitors seeking heritage attractions and those looking for everyday Korean life.
Geographic Context
Jurisdiction
South Korea
Province
South Chungcheong
Population
—
Time Zone
Asia/Seoul
Coordinates
36.79°, 126.47°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
68
Food Safety
95
Monthly Cost · estimate
$1,164
Local Cost
$667
Local Income
$1,900
Cashless
82
English
35
Temperature
12.4°C
Summer Avg
22.4°C
Winter Avg
1.7°C
Record High
31.8°C
Record Low
-11.4°C
Humidity
78%
Precipitation
1219 mm
Internet Speed
250 Mbps
Upload
151 Mbps
Latency
49 ms
City Vibrancy
80
Coworking
0
Cafes
24
Nightlife
9
Parks
47
Transport
100
Walk Score
100
Footways
229.0
Airport
HMY
Distance
9 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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 2026-03-21.
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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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