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Lawas
City in Sarawak, Malaysia
Overview
Lawas is a small, peaceful frontier town in northern Sarawak, Malaysia, situated on the banks of the Lawas River. Known for its friendly communities and gateway status to both Brunei and Sabah, it offers authentic rural Malaysian culture and scenic nature.
Geographic Context
Jurisdiction
Malaysia
State
Sarawak
Population
26,002
Time Zone
Asia/Kuala_Lumpur
Coordinates
4.86°, 115.41°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$591
Local Cost
$252
Local Income
$400
Cashless
40
English
50
Temperature
24.6°C
Summer Avg
24.7°C
Winter Avg
24.3°C
Record High
31.6°C
Record Low
18.1°C
Humidity
88%
Precipitation
2974 mm
Internet Speed
120 Mbps
Upload
45 Mbps
Latency
16 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LWY
Distance
1 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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