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Kangar
City in Perlis, Malaysia
Overview
Kangar is the charming capital city of Perlis, Malaysia's smallest state, blending laid-back rural vibes with pockets of urban convenience. Famed for its scenic rice fields, busy markets, and friendly atmosphere, Kangar offers an authentic northern Malaysian experience away from tourist crowds.
Geographic Context
Jurisdiction
Malaysia
State
Perlis
Population
48,898
Time Zone
Asia/Kuala_Lumpur
Coordinates
6.44°, 100.20°
Key Metrics
Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
25
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$517
Local Cost
$280
Local Income
$320
Cashless
40
English
50
Temperature
27.5°C
Summer Avg
27.8°C
Winter Avg
26.7°C
Record High
36.9°C
Record Low
20.9°C
Humidity
81%
Precipitation
2198 mm
Internet Speed
184 Mbps
Upload
72 Mbps
Latency
9 ms
City Vibrancy
8
Coworking
0
Cafes
5
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
AOR
Distance
36 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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