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Malungon

City in Sarangani, Philippines

Overview

Malungon is a lively municipality in Sarangani, Philippines, renowned for its natural landscapes, cultural diversity, and agricultural heritage. Visitors are drawn to its scenic hills, traditional communities, and warm southern hospitality.

Geographic Context

Jurisdiction
Philippines
Province
Sarangani
Population
108,429
Time Zone
Asia/Manila
Coordinates
6.36°, 124.96°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$487
Local Cost
$212
Local Income
$180
Cashless
30
English
55
Temperature
25.1°C
Summer Avg
25.0°C
Winter Avg
24.7°C
Record High
37.5°C
Record Low
17.6°C
Humidity
84%
Precipitation
1897 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AAV
Distance
23 km

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Prices & expenses
Weather & Climate
Temperature & conditions
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Neighborhoods
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City Guide
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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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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 2025-12-05.

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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