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Iksan-si
City in North Jeolla, South Korea
Overview
Iksan-si is a lively mid-sized city in North Jeolla province, rich with history, renowned for its jewelry industry, and offering a relaxed, local vibe. The city blends traditional culture with modern amenities, making it an appealing stop for cultural travelers and those exploring southern Korea.
Geographic Context
Jurisdiction
South Korea
Province
North Jeolla
Population
308,794
Time Zone
Asia/Seoul
Coordinates
36.04°, 126.99°
Key Metrics
Safety Score · estimate
81
Female Safety
76
LGBTQ+ Safety
54
Traffic Safety
73
Food Safety
93
Monthly Cost · estimate
$995
Local Cost
$614
Local Income
$1,550
Cashless
89
English
34
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
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
KUV
Distance
36 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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