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Namyangju-si
City in Gyeonggi, South Korea
Overview
Namyangju-si, located just northeast of Seoul, is a rapidly growing city known for its lush landscapes, riverside parks, and fusion of traditional Korean charm with modern amenities. Its convenient transit links offer easy access to Seoul while boasting a slower pace and scenic beauty.
Geographic Context
Jurisdiction
South Korea
Province
Gyeonggi
Population
—
Time Zone
Asia/Seoul
Coordinates
37.65°, 127.24°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
50
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,422
Local Cost
$750
Local Income
$1,800
Cashless
85
English
55
Temperature
10.1°C
Summer Avg
22.9°C
Winter Avg
-3.8°C
Record High
36.8°C
Record Low
-28.2°C
Humidity
79%
Precipitation
1276 mm
Internet Speed
63 Mbps
Upload
30 Mbps
Latency
48 ms
City Vibrancy
29
Coworking
0
Cafes
10
Nightlife
0
Parks
19
Transport
23
Walk Score
23
Footways
45.0
Airport
QJP
Distance
24 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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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