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Gangbuk-gu
City in Seoul, South Korea
Overview
Gangbuk-gu is a northern district of Seoul known for its blend of urban residential life and easy access to nature, especially Bukhansan National Park. It's less touristic but offers authentic Korean culture, cozy cafes, and traditional markets. The district's quieter neighborhoods are perfect for families and outdoor enthusiasts.
Geographic Context
Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.63°, 127.02°
Key Metrics
Safety Score · estimate
85
Female Safety
78
LGBTQ+ Safety
45
Traffic Safety
72
Food Safety
98
Monthly Cost · estimate
$1,778
Local Cost
$1,027
Local Income
$2,250
Cashless
90
English
55
Temperature
11.2°C
Summer Avg
23.3°C
Winter Avg
-1.7°C
Record High
35.4°C
Record Low
-21.3°C
Humidity
77%
Precipitation
1240 mm
Internet Speed
231 Mbps
Upload
167 Mbps
Latency
40 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
62
Walk Score
62
Footways
123.0
Airport
GMP
Distance
22 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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