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Gangseo-gu

City in Seoul, South Korea

Overview

Gangseo-gu, located on the western edge of Seoul, is a diverse district blending modern developments with traditional residential neighborhoods. It offers riverside parks, convenient airport access, and a mix of local markets and shopping centers.

Geographic Context

Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.56°, 126.82°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
58
Traffic Safety
72
Food Safety
97
Monthly Cost · estimate
$1,792
Local Cost
$1,050
Local Income
$2,200
Cashless
89
English
56
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
341 Mbps
Upload
279 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
85
Walk Score
85
Footways
170.0
Airport
GMP
Distance
2 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 10 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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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