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Kibawe

City in Benguet, Philippines

Overview

Kibawe is a welcoming municipality set amidst the lush mountains of Benguet, Philippines. Best known for its rustic charm and picturesque rural landscapes, Kibawe is ideal for travelers seeking a peaceful, authentic local experience.

Geographic Context

Jurisdiction
Philippines
Province
Benguet
Population
43,491
Time Zone
Asia/Manila
Coordinates
7.57°, 124.99°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$472
Local Cost
$228
Local Income
$220
Cashless
25
English
60
Temperature
23.8°C
Summer Avg
23.8°C
Winter Avg
23.2°C
Record High
35.0°C
Record Low
15.0°C
Humidity
87%
Precipitation
2273 mm
Internet Speed
71 Mbps
Upload
79 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
XMA
Distance
21 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 43 tests. Record updated 2025-12-05.
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 2025-12-05.

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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