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Kudat

City in Sabah, Malaysia

Overview

Kudat is a quaint coastal town at the northern tip of Sabah, Malaysia, celebrated for its pristine beaches, Rungus cultural heritage, and scenic sunsets. Its slow pace of life makes it a tranquil getaway, and the region offers easy access to both local village culture and tourist highlights like the Tip of Borneo.

Geographic Context

Jurisdiction
Malaysia
State
Sabah
Population
32,393
Time Zone
Asia/Kuala_Lumpur
Coordinates
6.89°, 116.82°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$510
Local Cost
$280
Local Income
$350
Cashless
40
English
45
Temperature
27.3°C
Summer Avg
27.6°C
Winter Avg
26.6°C
Record High
33.6°C
Record Low
23.2°C
Humidity
84%
Precipitation
2685 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KUD
Distance
4 km

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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