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Hwaseong-si
City in Gyeonggi, South Korea
Overview
Hwaseong-si in Gyeonggi Province is a dynamic city blending modern developments with historic charm. Known for its proximity to Seoul and the UNESCO-listed Hwaseong Fortress, the city offers convenient living and diverse cultural experiences. Well-kept parks and efficient transport make it popular among families and professionals.
Geographic Context
Jurisdiction
South Korea
Province
Gyeonggi
Population
—
Time Zone
Asia/Seoul
Coordinates
37.21°, 126.82°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
56
Food Safety
94
Monthly Cost · estimate
$1,268
Local Cost
$685
Local Income
$2,100
Cashless
90
English
40
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
297 Mbps
Upload
112 Mbps
Latency
43 ms
City Vibrancy
12
Coworking
0
Cafes
0
Nightlife
0
Parks
12
Transport
9
Walk Score
9
Footways
17.0
Airport
SWU
Distance
17 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 2026-03-21.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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