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Dos Hermanas

City in Antique, Philippines

Overview

Dos Hermanas is a small, relaxed town set in Antique, Philippines, known for its rural charm and genuine local culture. With a population of just over 9,000, it offers visitors scenic landscapes, friendly communities, and a glimpse into traditional Visayan life.

Geographic Context

Jurisdiction
Philippines
Province
Antique
Population
9,270
Time Zone
Asia/Manila
Coordinates
10.74°, 123.04°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$473
Local Cost
$228
Local Income
$200
Cashless
25
English
60
Temperature
25.2°C
Summer Avg
25.2°C
Winter Avg
24.2°C
Record High
39.0°C
Record Low
17.1°C
Humidity
87%
Precipitation
2251 mm
Internet Speed
98 Mbps
Upload
109 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BCD
Distance
4 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 94 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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