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Wanju
City in North Jeolla, South Korea
Overview
Wanju, set near Jeonju in North Jeolla, is a peaceful county blending rural charm with convenient urban comforts. It features traditional markets, lush green farmland, and growing arts communities while providing easy access to natural scenic spots.
Geographic Context
Jurisdiction
South Korea
Province
North Jeolla
Population
84,009
Time Zone
Asia/Seoul
Coordinates
35.85°, 127.15°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
48
Traffic Safety
75
Food Safety
97
Monthly Cost · estimate
$1,207
Local Cost
$545
Local Income
$1,850
Cashless
77
English
37
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
274 Mbps
Upload
219 Mbps
Latency
41 ms
City Vibrancy
49
Coworking
0
Cafes
6
Nightlife
1
Parks
42
Transport
0
Walk Score
0
Footways
—
Airport
KUV
Distance
47 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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