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Bone South
City in Cagayan Valley, Philippines
Overview
Bone South is a laid-back town set in the heart of Cagayan Valley, Philippines. Known for its warm community, local markets, and lush surroundings, it's a peaceful destination for travelers seeking an authentic provincial experience. Though less developed than major cities, it offers a slower pace and genuine hospitality.
Geographic Context
Jurisdiction
Philippines
Region
Cagayan Valley
Population
—
Time Zone
Asia/Manila
Coordinates
16.24°, 121.00°
Key Metrics
Safety Score · estimate
65
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$490
Local Cost
$280
Local Income
$200
Cashless
25
English
55
Temperature
22.9°C
Summer Avg
23.9°C
Winter Avg
20.9°C
Record High
36.5°C
Record Low
10.2°C
Humidity
87%
Precipitation
2921 mm
Internet Speed
253 Mbps
Upload
256 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BAG
Distance
43 km
Explore
Data sources
Source-backed data
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 2026-01-14.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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