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San Rafael

City in Antique, Philippines

Overview

San Rafael, Antique is a thriving town known for its agricultural heritage, scenic countryside, and friendly local culture. Its unique highland climate in areas like Aningalan makes it a popular getaway for those seeking cool weather in Western Visayas.

Geographic Context

Jurisdiction
Philippines
Province
Antique
Population
108,256
Time Zone
Asia/Manila
Coordinates
11.18°, 122.83°

Key Metrics

Safety Score · estimate
64
Female Safety
62
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
50
Monthly Cost · estimate
$483
Local Cost
$228
Local Income
$180
Cashless
35
English
65
Temperature
26.8°C
Summer Avg
27.0°C
Winter Avg
25.8°C
Record High
36.5°C
Record Low
20.9°C
Humidity
84%
Precipitation
2332 mm
Internet Speed
185 Mbps
Upload
152 Mbps
Latency
17 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
RXS
Distance
47 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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