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Mungo

City in Cagayan Valley, Philippines

Overview

Mungo is a small, rural town in Cagayan Valley, Philippines, known for its agricultural landscapes and laid-back pace of life. Visitors are drawn to its authentic local charm and proximity to nature, offering a peaceful departure from city crowds.

Geographic Context

Jurisdiction
Philippines
Region
Cagayan Valley
Population
4,591
Time Zone
Asia/Manila
Coordinates
17.72°, 121.47°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$440
Local Cost
$210
Local Income
$170
Cashless
25
English
50
Temperature
23.4°C
Summer Avg
24.8°C
Winter Avg
20.5°C
Record High
39.5°C
Record Low
11.1°C
Humidity
84%
Precipitation
2492 mm
Internet Speed
50 Mbps
Upload
54 Mbps
Latency
20 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
TUG
Distance
29 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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.

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