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Hanam-si

City in Gyeonggi, South Korea

Overview

Hanam-si is a fast-growing satellite city just east of Seoul, blending urban convenience with natural beauty. The area boasts modern shopping centers, scenic parks, and tranquil lakefronts, making it an appealing destination for both visitors and residents looking for a relaxed pace.

Geographic Context

Jurisdiction
South Korea
Province
Gyeonggi
Population
—
Time Zone
Asia/Seoul
Coordinates
37.54°, 127.21°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,872
Local Cost
$1,040
Local Income
$2,200
Cashless
85
English
40
Temperature
10.1°C
Summer Avg
22.9°C
Winter Avg
-3.8°C
Record High
36.8°C
Record Low
-28.2°C
Humidity
79%
Precipitation
1276 mm
Internet Speed
216 Mbps
Upload
229 Mbps
Latency
5 ms
City Vibrancy
125
Coworking
0
Cafes
62
Nightlife
5
Parks
58
Transport
100
Walk Score
100
Footways
678.0
Airport
SSN
Distance
14 km

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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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