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Hongseong

City in South Chungcheong, South Korea

Overview

Hongseong is the administrative heart of South Chungcheong province, fusing tradition and modern life. Visitors experience local markets, scenic countryside, and authentic Korean culture in a friendly town atmosphere.

Geographic Context

Jurisdiction
South Korea
Province
South Chungcheong
Population
99,050
Time Zone
Asia/Seoul
Coordinates
36.60°, 126.67°

Key Metrics

Safety Score · estimate
80
Female Safety
78
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$1,072
Local Cost
$609
Local Income
$1,850
Cashless
70
English
30
Temperature
11.7°C
Summer Avg
23.7°C
Winter Avg
-0.8°C
Record High
38.8°C
Record Low
-17.4°C
Humidity
78%
Precipitation
1229 mm
Internet Speed
38 Mbps
Upload
15 Mbps
Latency
52 ms
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
0
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
HMY
Distance
20 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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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