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Gunsan

City in North Jeolla, South Korea

Overview

Gunsan is a port city on the west coast of South Korea rich in modern history, maritime charm, and scenic parks. Its blend of old Japanese colonial architecture and lively local life attracts culture seekers and leisure travelers alike.

Geographic Context

Jurisdiction
South Korea
Province
North Jeolla
Population
—
Time Zone
Asia/Seoul
Coordinates
35.98°, 126.71°

Key Metrics

Safety Score · estimate
75
Female Safety
68
LGBTQ+ Safety
48
Traffic Safety
65
Food Safety
93
Monthly Cost · estimate
$1,224
Local Cost
$571
Local Income
$1,700
Cashless
85
English
32
Temperature
12.5°C
Summer Avg
24.2°C
Winter Avg
0.3°C
Record High
39.6°C
Record Low
-15.7°C
Humidity
78%
Precipitation
1266 mm
Internet Speed
106 Mbps
Upload
214 Mbps
Latency
8 ms
City Vibrancy
25
Coworking
0
Cafes
7
Nightlife
2
Parks
16
Transport
22
Walk Score
22
Footways
44.0
Airport
KUV
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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