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Goseong
City in South Gyeongsang, South Korea
Overview
Goseong, set in South Gyeongsang, South Korea, is a tranquil city known for its historic dinosaur fossil sites and serene seaside atmosphere. With a population just over 26,000, it blends local charm, delicious seafood, and opportunities to explore Korea's rural beauty. Goseong is ideal for visitors interested in nature, history, and a slower pace of life.
Geographic Context
Jurisdiction
South Korea
Province
South Gyeongsang
Population
26,704
Time Zone
Asia/Seoul
Coordinates
34.98°, 128.32°
Key Metrics
Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
40
Traffic Safety
70
Food Safety
97
Monthly Cost · estimate
$1,000
Local Cost
$600
Local Income
$1,600
Cashless
68
English
25
Temperature
13.4°C
Summer Avg
23.8°C
Winter Avg
2.2°C
Record High
37.8°C
Record Low
-12.2°C
Humidity
78%
Precipitation
1472 mm
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
2
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
HIN
Distance
26 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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