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Yeongyang-gun
City in North Gyeongsang, South Korea
Overview
Yeongyang-gun is a tranquil county in North Gyeongsang, South Korea, celebrated for its lush landscapes, unique chili pepper farms, and relaxed pace of rural life. Known as the 'home of chili peppers', it features traditional villages, scenic mountain trails, and local festivals that give visitors a taste of authentic Korean countryside.
Geographic Context
Jurisdiction
South Korea
Province
North Gyeongsang
Population
—
Time Zone
Asia/Seoul
Coordinates
36.70°, 129.14°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$963
Local Cost
$557
Local Income
$1,300
Cashless
65
English
25
Temperature
13.1°C
Summer Avg
23.1°C
Winter Avg
2.2°C
Record High
35.4°C
Record Low
-14.5°C
Humidity
75%
Precipitation
1146 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UJN
Distance
30 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 2026-03-21.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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