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Kuah
City in Kedah, Malaysia
Overview
Kuah is the main town and commercial hub of Langkawi Island, serving as the arrival point for most visitors via ferry. Its waterfront features the iconic Eagle Square, lively shopping, and a blend of local and tourist lifestyles.
Geographic Context
Jurisdiction
Malaysia
State
Kedah
Population
—
Time Zone
Asia/Kuala_Lumpur
Coordinates
6.33°, 99.84°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$690
Local Cost
$353
Local Income
$400
Cashless
65
English
60
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
134 Mbps
Upload
48 Mbps
Latency
14 ms
City Vibrancy
14
Coworking
0
Cafes
11
Nightlife
2
Parks
1
Transport
5
Walk Score
5
Footways
10.0
Airport
LGK
Distance
13 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 2025-12-09.
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 2026-03-23.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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