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Bangkal
City in Cagayan, Philippines
Overview
Bangkal is a small, peaceful town in Cagayan province, Philippines, with a friendly local community and scenic rural landscapes. The area is mostly agricultural, offering insight into traditional Filipino village life and understated provincial charm. Local markets and natural attractions make it a relaxing destination for off-the-beaten-path travelers.
Geographic Context
Jurisdiction
Philippines
Province
Cagayan
Population
2,288
Time Zone
Asia/Manila
Coordinates
6.07°, 121.07°
Key Metrics
Safety Score · estimate
60
Female Safety
58
LGBTQ+ Safety
38
Traffic Safety
68
Food Safety
52
Monthly Cost · estimate
$470
Local Cost
$207
Local Income
$160
Cashless
20
English
60
Temperature
27.7°C
Summer Avg
27.6°C
Winter Avg
27.3°C
Record High
32.0°C
Record Low
24.5°C
Humidity
81%
Precipitation
1565 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JOL
Distance
6 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 32/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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