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Gumi-si
City in North Gyeongsang, South Korea
Overview
Gumi-si is a lively industrial city in North Gyeongsang, South Korea, renowned for its electronics and manufacturing sectors. It combines urban convenience with natural beauty, thanks to landmarks like Geumo Mountain and several riverside parks. While primarily a working city, it offers enjoyable local food and welcoming neighborhoods.
Geographic Context
Jurisdiction
South Korea
Province
North Gyeongsang
Population
—
Time Zone
Asia/Seoul
Coordinates
36.21°, 128.35°
Key Metrics
Safety Score · estimate
82
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
96
Monthly Cost · estimate
$1,290
Local Cost
$610
Local Income
$1,900
Cashless
85
English
38
Temperature
10.8°C
Summer Avg
23.2°C
Winter Avg
-2.3°C
Record High
37.9°C
Record Low
-21.0°C
Humidity
78%
Precipitation
1216 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
TAE
Distance
44 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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