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Seocho-gu
City in Seoul, South Korea
Overview
Seocho-gu is a dynamic district in southern Seoul, blending modern skyscrapers and leafy avenues. It's known for legal centers, luxury residences, and lively lifestyles, attracting families, business professionals, and expats. The area offers easy access to lush parks, cultural venues, and riverside relaxation.
Geographic Context
Jurisdiction
South Korea
Special City
Seoul
Population
—
Time Zone
Asia/Seoul
Coordinates
37.49°, 127.01°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
98
Monthly Cost · estimate
$2,280
Local Cost
$1,305
Local Income
$2,400
Cashless
85
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
754 Mbps
Upload
71 Mbps
Latency
53 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
314.0
Airport
SSN
Distance
10 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: 90/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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