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Bagu

City in Cagayan Valley, Philippines

Overview

Bagu is a quiet, rural municipality in the Cagayan Valley region of the Philippines. It offers travelers an authentic taste of local Filipino life, surrounded by rice fields and the beauty of rural Luzon. The pace is relaxed and the people are friendly.

Geographic Context

Jurisdiction
Philippines
Region
Cagayan Valley
Population
—
Time Zone
Asia/Manila
Coordinates
18.42°, 121.36°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$475
Local Cost
$202
Local Income
$200
Cashless
20
English
45
Temperature
26.1°C
Summer Avg
27.9°C
Winter Avg
23.3°C
Record High
38.3°C
Record Low
16.6°C
Humidity
83%
Precipitation
2495 mm
Internet Speed
99 Mbps
Upload
210 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LLC
Distance
49 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 11 tests. Record updated 2025-12-05.
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 2026-01-15.
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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