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Jung-gu
City in Daegu, South Korea
Overview
Jung-gu is the central district of Daegu, South Korea, known for its lively urban atmosphere, historical landmarks, and lively nightlife. As the commercial heart of the city, Jung-gu offers diverse dining, shopping, and entertainment experiences, all within easy reach of cultural sites and parks.
Geographic Context
Jurisdiction
South Korea
Metropolitan City
Daegu
Population
—
Time Zone
Asia/Seoul
Coordinates
35.87°, 128.60°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
95
Monthly Cost · estimate
$1,520
Local Cost
$735
Local Income
$1,850
Cashless
85
English
45
Temperature
11.2°C
Summer Avg
23.3°C
Winter Avg
-1.8°C
Record High
38.0°C
Record Low
-20.1°C
Humidity
78%
Precipitation
1201 mm
Internet Speed
321 Mbps
Upload
200 Mbps
Latency
23 ms
City Vibrancy
185
Coworking
0
Cafes
59
Nightlife
19
Parks
107
Transport
92
Walk Score
92
Footways
183.0
Airport
TAE
Distance
6 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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