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Bokod
City in Cordillera Administrative, Philippines
Overview
Bokod, set in the Cordillera mountains of northern Luzon, is a peaceful municipality famous for its breathtaking highland scenery and proximity to Mount Pulag. Its cool climate, friendly communities, and wealth of outdoor activities make it an ideal destination for nature lovers and those eager to discover local culture.
Geographic Context
Jurisdiction
Philippines
Region
Cordillera Administrative
Population
16,071
Time Zone
Asia/Manila
Coordinates
16.49°, 120.83°
Key Metrics
Safety Score · estimate
70
Female Safety
62
LGBTQ+ Safety
35
Traffic Safety
58
Food Safety
66
Monthly Cost · estimate
$420
Local Cost
$240
Local Income
$180
Cashless
20
English
50
Temperature
23.0°C
Summer Avg
23.6°C
Winter Avg
21.2°C
Record High
35.0°C
Record Low
10.8°C
Humidity
85%
Precipitation
3091 mm
Internet Speed
240 Mbps
Upload
41 Mbps
Latency
23 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BAG
Distance
26 km
Explore
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 2025-12-06.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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