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Ranau
City in Sabah, Malaysia
Overview
Ranau is a highland town in Sabah, Malaysia, famed for its proximity to Mount Kinabalu and stunning natural attractions. It's a gateway for outdoor adventures, hot springs, and local Desa dairy products, blending native culture with rural charm.
Geographic Context
Jurisdiction
Malaysia
State
Sabah
Population
19,294
Time Zone
Asia/Kuala_Lumpur
Coordinates
5.95°, 116.66°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$475
Local Cost
$217
Local Income
$320
Cashless
30
English
45
Temperature
23.6°C
Summer Avg
23.7°C
Winter Avg
23.0°C
Record High
30.4°C
Record Low
15.4°C
Humidity
91%
Precipitation
2993 mm
Internet Speed
72 Mbps
Upload
38 Mbps
Latency
18 ms
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
RNU
Distance
2 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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