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Gongju

City in South Chungcheong, South Korea

Overview

Gongju is a historic city in South Chungcheong province, famed for its ancient Baekje relics and laid-back riverside charm. It's compact, welcoming, and offers easy access to both heritage sites and outdoor activities.

Geographic Context

Jurisdiction
South Korea
Province
South Chungcheong
Population
102,960
Time Zone
Asia/Seoul
Coordinates
36.46°, 127.12°

Key Metrics

Safety Score · estimate
80
Female Safety
77
LGBTQ+ Safety
48
Traffic Safety
74
Food Safety
97
Monthly Cost · estimate
$1,097
Local Cost
$550
Local Income
$1,750
Cashless
67
English
37
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
43 Mbps
Upload
5 Mbps
Latency
44 ms
City Vibrancy
36
Coworking
0
Cafes
7
Nightlife
4
Parks
25
Transport
0
Walk Score
0
Footways
—
Airport
CJJ
Distance
44 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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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