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Yeongdeungpo-gu

City in Seoul, South Korea

Overview

Yeongdeungpo-gu is a lively district in southwestern Seoul blending modern business centers with artsy enclaves and traditional markets. With riverside parks, convenient transit, and a mix of local flavors, it's an appealing spot for both work and leisure.

Geographic Context

Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.53°, 126.90°

Key Metrics

Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
72
Food Safety
97
Monthly Cost · estimate
$1,955
Local Cost
$1,170
Local Income
$2,100
Cashless
88
English
52
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
303 Mbps
Upload
192 Mbps
Latency
24 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
343.0
Airport
GMP
Distance
10 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 27 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 2026-03-21.
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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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