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Olutanga
City in Zamboanga Sibugay, Philippines
Overview
Olutanga is a tranquil island municipality in Zamboanga Sibugay, Philippines, characterized by its tight-knit communities, lively local culture, and scenic coastlines. The city offers an authentic experience, with friendly locals and untouched natural beauty ideal for those seeking off-the-beaten-path destinations.
Geographic Context
Jurisdiction
Philippines
Province
Zamboanga Sibugay
Population
34,124
Time Zone
Asia/Manila
Coordinates
7.31°, 122.85°
Key Metrics
Safety Score · estimate
54
Female Safety
52
LGBTQ+ Safety
48
Traffic Safety
46
Food Safety
42
Monthly Cost · estimate
$283
Local Cost
$185
Local Income
$220
Cashless
26
English
50
Temperature
27.6°C
Summer Avg
27.1°C
Winter Avg
27.5°C
Record High
36.7°C
Record Low
22.5°C
Humidity
80%
Precipitation
2083 mm
Internet Speed
16 Mbps
Upload
12 Mbps
Latency
35 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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 2025-12-06.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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