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Rawang
City in Selangor, Malaysia
Overview
Rawang is a rapidly growing town in Selangor, Malaysia, offering a mix of traditional Malay culture and expanding urban development. Its strategic location provides easy access to lush nature spots, local food, and suburban comforts.
Geographic Context
Jurisdiction
Malaysia
State
Selangor
Population
199,095
Time Zone
Asia/Kuala_Lumpur
Coordinates
3.32°, 101.58°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
20
Traffic Safety
50
Food Safety
85
Monthly Cost · estimate
$620
Local Cost
$343
Local Income
$550
Cashless
50
English
45
Temperature
24.6°C
Summer Avg
24.6°C
Winter Avg
23.9°C
Record High
32.3°C
Record Low
15.9°C
Humidity
88%
Precipitation
2554 mm
Internet Speed
152 Mbps
Upload
83 Mbps
Latency
8 ms
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
SZB
Distance
21 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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