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Cabilao

City in Antique, Philippines

Overview

Cabilao is a serene rural town in Antique, Philippines, known for its welcoming community, verdant rice paddies, and scenic riverside and coastal settings. Though small, it offers an authentic glimpse of Visayan countryside life and local culture.

Geographic Context

Jurisdiction
Philippines
Province
Antique
Population
2,668
Time Zone
Asia/Manila
Coordinates
11.54°, 123.14°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
45
Monthly Cost · estimate
$408
Local Cost
$222
Local Income
$170
Cashless
10
English
40
Temperature
27.6°C
Summer Avg
28.0°C
Winter Avg
26.4°C
Record High
34.4°C
Record Low
22.3°C
Humidity
82%
Precipitation
2274 mm
Internet Speed
62 Mbps
Upload
30 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ICO
Distance
15 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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