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T’aebaek

City in Gangwon, South Korea

Overview

T'aebaek is a charming mountain city in Gangwon, famous for its cool climate, picturesque trails, and proximity to Taebaeksan National Park. It is renowned for winter snow festivals and its mining history, making it a unique blend of nature, culture, and local life.

Geographic Context

Jurisdiction
South Korea
Special Self Governing Province
Gangwon
Population
—
Time Zone
Asia/Seoul
Coordinates
37.18°, 128.99°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$946
Local Cost
$470
Local Income
$1,400
Cashless
60
English
25
Temperature
8.7°C
Summer Avg
21.2°C
Winter Avg
-4.7°C
Record High
35.0°C
Record Low
-27.0°C
Humidity
79%
Precipitation
1221 mm
Internet Speed
467 Mbps
Upload
445 Mbps
Latency
19 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
0
Parks
6
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

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 2025-12-10.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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