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Matag-ob

City in Leyte, Philippines

Overview

Matag-ob is a small, laid-back town in Leyte, Philippines, known for its rich agricultural surroundings and warm, close-knit community. The town's simple charm is ideal for travelers seeking to experience authentic provincial life away from major tourist crowds.

Geographic Context

Jurisdiction
Philippines
Province
Leyte
Population
18,618
Time Zone
Asia/Manila
Coordinates
11.12°, 124.37°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$418
Local Cost
$190
Local Income
$220
Cashless
20
English
45
Temperature
27.7°C
Summer Avg
28.2°C
Winter Avg
26.7°C
Record High
34.3°C
Record Low
22.0°C
Humidity
81%
Precipitation
2222 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
OMC
Distance
22 km

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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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