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Kinzan

City in South Chungcheong, South Korea

Overview

Kinzan is a small, welcoming city in South Chungcheong, South Korea, blending traditional charm with emerging modern culture. With a population of just over 25,000, it offers a peaceful atmosphere, local markets, and scenic river walks.

Geographic Context

Jurisdiction
South Korea
Province
South Chungcheong
Population
25,243
Time Zone
Asia/Seoul
Coordinates
36.10°, 127.49°

Key Metrics

Safety Score · estimate
78
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
93
Monthly Cost · estimate
$1,018
Local Cost
$602
Local Income
$1,550
Cashless
70
English
27
Temperature
10.7°C
Summer Avg
22.9°C
Winter Avg
-2.4°C
Record High
37.5°C
Record Low
-20.2°C
Humidity
79%
Precipitation
1269 mm
Internet Speed
128 Mbps
Upload
93 Mbps
Latency
20 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
1
Walk Score
1
Footways
2.0
Airport
Distance

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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 2025-12-06.

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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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