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San Antonio

City in Albay, Philippines

Overview

San Antonio is a modest but growing municipality in Albay, Philippines, with a busy center surrounded by tranquil rural neighborhoods. Visitors are drawn to its local markets, natural beauty, and proximity to the region's famous Mayon Volcano.

Geographic Context

Jurisdiction
Philippines
Province
Albay
Population
84,958
Time Zone
Asia/Manila
Coordinates
13.37°, 123.42°

Key Metrics

Safety Score · estimate
60
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
55
Monthly Cost · estimate
$512
Local Cost
$298
Local Income
$220
Cashless
30
English
50
Temperature
27.1°C
Summer Avg
27.8°C
Winter Avg
25.6°C
Record High
37.1°C
Record Low
19.6°C
Humidity
82%
Precipitation
3032 mm
Internet Speed
82 Mbps
Upload
103 Mbps
Latency
3 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
WNP
Distance
29 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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