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Naju-si
City in South Jeolla, South Korea
Overview
Naju-si, set in South Jeolla province, is a charming city blending tradition and modernity. Known for its lively pear orchards, traditional markets, and historic sites, it offers visitors an authentic glimpse into Korean rural life. The city has expanded rapidly with its innovative city project, attracting families and professionals alike.
Geographic Context
Jurisdiction
South Korea
Province
South Jeolla
Population
—
Time Zone
Asia/Seoul
Coordinates
35.06°, 126.67°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
90
Monthly Cost · estimate
$1,307
Local Cost
$605
Local Income
$1,600
Cashless
80
English
30
Temperature
12.3°C
Summer Avg
23.5°C
Winter Avg
0.7°C
Record High
36.4°C
Record Low
-14.9°C
Humidity
81%
Precipitation
1381 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KWJ
Distance
14 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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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