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Skudai
City in Johor, Malaysia
Overview
Skudai is a dynamic township in Johor, Malaysia, known for its university, lively food scene, and blend of urban life with local culture. Its strategic location near Johor Bahru makes it an accessible spot for both local and international visitors.
Geographic Context
Jurisdiction
Malaysia
State
Johor
Population
159,733
Time Zone
Asia/Kuala_Lumpur
Coordinates
1.54°, 103.66°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
80
Monthly Cost · estimate
$658
Local Cost
$347
Local Income
$650
Cashless
65
English
55
Temperature
27.0°C
Summer Avg
27.3°C
Winter Avg
26.1°C
Record High
33.9°C
Record Low
20.8°C
Humidity
85%
Precipitation
2367 mm
Internet Speed
223 Mbps
Upload
84 Mbps
Latency
23 ms
City Vibrancy
4
Coworking
0
Cafes
3
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
JHB
Distance
12 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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