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Osan

City in Gyeonggi, South Korea

Overview

Osan is a dynamic city in Gyeonggi Province, well-connected to Seoul yet retaining a local charm. With a blend of modern convenience and rich history, Osan offers unique markets, peaceful parks, and lively neighborhoods for travelers to explore.

Geographic Context

Jurisdiction
South Korea
Province
Gyeonggi
Population
229,792
Time Zone
Asia/Seoul
Coordinates
37.15°, 127.07°

Key Metrics

Safety Score · estimate
77
Female Safety
73
LGBTQ+ Safety
55
Traffic Safety
68
Food Safety
95
Monthly Cost · estimate
$1,460
Local Cost
$650
Local Income
$1,800
Cashless
91
English
58
Temperature
11.8°C
Summer Avg
23.3°C
Winter Avg
-0.4°C
Record High
35.6°C
Record Low
-16.4°C
Humidity
78%
Precipitation
1232 mm
Internet Speed
216 Mbps
Upload
174 Mbps
Latency
38 ms
City Vibrancy
40
Coworking
0
Cafes
5
Nightlife
0
Parks
35
Transport
0
Walk Score
0
Footways
—
Airport
OSN
Distance
8 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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