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Gangnam-gu
City in Seoul, South Korea
Overview
Gangnam-gu is Seoul's premier district, famed for its upscale shopping, world-class dining, and dynamic nightlife. Beyond the glamour, it is a center for business, entertainment, and modern Korean culture, blending sleek skyscrapers with busy local life. The area is energetic day and night, attracting professionals, shoppers, and trendsetters.
Geographic Context
Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.50°, 127.06°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
55
Traffic Safety
68
Food Safety
95
Monthly Cost · estimate
$2,605
Local Cost
$1,535
Local Income
$2,800
Cashless
92
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
219 Mbps
Upload
151 Mbps
Latency
37 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
14
Walk Score
14
Footways
27.0
Airport
SSN
Distance
7 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: 92/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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