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Seongbuk-gu
City in Seoul, South Korea
Overview
Seongbuk-gu is a diverse district in northern Seoul, blending historical landmarks and green hills with modern residential and student life. Known for its serene atmosphere and proximity to central Seoul, it attracts families, diplomats, and young creatives. The district offers a harmonious mix of tradition and convenience.
Geographic Context
Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.60°, 127.01°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
97
Monthly Cost · estimate
$1,693
Local Cost
$970
Local Income
$2,250
Cashless
95
English
45
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
135 Mbps
Upload
90 Mbps
Latency
39 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
53
Walk Score
53
Footways
106.0
Airport
SSN
Distance
19 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: 84/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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