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Gunpo-si

City in Gyeonggi, South Korea

Overview

Gunpo-si is a charming city in Gyeonggi, South Korea, situated between Seoul and Suwon. It's known for its comfortable living environment, lively commercial centers like Sanbon, and access to scenic hiking trails and parks.

Geographic Context

Jurisdiction
South Korea
Province
Gyeonggi
Population
—
Time Zone
Asia/Seoul
Coordinates
37.34°, 126.92°

Key Metrics

Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
72
Food Safety
90
Monthly Cost · estimate
$1,612
Local Cost
$835
Local Income
$2,100
Cashless
82
English
40
Temperature
11.2°C
Summer Avg
23.3°C
Winter Avg
-1.7°C
Record High
35.4°C
Record Low
-21.3°C
Humidity
77%
Precipitation
1240 mm
Internet Speed
298 Mbps
Upload
269 Mbps
Latency
36 ms
City Vibrancy
25
Coworking
0
Cafes
3
Nightlife
0
Parks
22
Transport
6
Walk Score
6
Footways
11.0
Airport
SWU
Distance
14 km

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 2025-12-10.
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 2026-03-22.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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