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Wabu
City in Gyeonggi, South Korea
Overview
Wabu is a growing satellite town in Gyeonggi Province, blending modern developments with traditional Korean rural charm. Its location along the Bukhan River provides scenic walking paths, while local neighborhoods offer authentic markets and eateries. While not a major tourism destination, Wabu is ideal for those looking for a relaxed slice of Korean life within reach of Seoul.
Geographic Context
Jurisdiction
South Korea
Province
Gyeonggi
Population
—
Time Zone
Asia/Seoul
Coordinates
37.59°, 127.22°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,193
Local Cost
$670
Local Income
$2,100
Cashless
75
English
35
Temperature
10.1°C
Summer Avg
22.9°C
Winter Avg
-3.8°C
Record High
36.8°C
Record Low
-28.2°C
Humidity
79%
Precipitation
1276 mm
Internet Speed
212 Mbps
Upload
186 Mbps
Latency
27 ms
City Vibrancy
14
Coworking
0
Cafes
8
Nightlife
0
Parks
6
Transport
17
Walk Score
17
Footways
34.0
Airport
SSN
Distance
19 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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