Lu-uk
City in Autonomous Region in Muslim Mindanao, Philippines
Overview
Lu-uk is a municipal town located along the southern coast of Sulu, Philippines, known for its strong community ties and unique Tausug Muslim culture. While largely rural and peaceful, the town has pockets of commercial activity and a distinct maritime atmosphere.
Geographic Context
Jurisdiction
Philippines
Region
Autonomous Region in Muslim Mindanao
Population
—
Time Zone
Asia/Manila
Coordinates
5.97°, 121.31°
Key Metrics
Safety Score · estimate
25
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
30
Food Safety
40
Monthly Cost · estimate
$320
Local Cost
$158
Local Income
$120
Cashless
20
English
40
Temperature
27.7°C
Summer Avg
27.6°C
Winter Avg
27.3°C
Record High
32.0°C
Record Low
24.5°C
Humidity
81%
Precipitation
1565 mm
Internet Speed
74 Mbps
Upload
13 Mbps
Latency
50 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
JOL
Distance
34 km
Explore
Data sources
Source-backed data
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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.