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Gwanak-gu

City in Seoul, South Korea

Overview

Gwanak-gu, set in southern Seoul, is a dynamic district blending youthful energy, thanks to Seoul National University, with serene natural escapes like Mt. Gwanak. The area is known for its lively food scene, buzzing student life, and easy access to hiking trails.

Geographic Context

Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.48°, 126.95°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
40
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,315
Local Cost
$765
Local Income
$2,250
Cashless
90
English
60
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
173 Mbps
Upload
99 Mbps
Latency
29 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
36
Walk Score
36
Footways
72.0
Airport
SSN
Distance
14 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 16 tests. Record updated 2025-12-05.
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: 92/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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