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Kulim
City in Kedah, Malaysia
Overview
Kulim is a growing city in Kedah, Malaysia, blending laid-back residential areas with pockets of commercial and industrial development. Known for its friendly locals, affordable living, and proximity to nature, it offers an authentic glimpse of northern Malaysian life.
Geographic Context
Jurisdiction
Malaysia
State
Kedah
Population
—
Time Zone
Asia/Kuala_Lumpur
Coordinates
5.36°, 100.56°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$505
Local Cost
$260
Local Income
$450
Cashless
45
English
50
Temperature
26.2°C
Summer Avg
26.4°C
Winter Avg
25.5°C
Record High
34.1°C
Record Low
18.2°C
Humidity
84%
Precipitation
2353 mm
Internet Speed
146 Mbps
Upload
89 Mbps
Latency
8 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
0
Parks
3
Transport
6
Walk Score
6
Footways
12.0
Airport
BWH
Distance
22 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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