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Makato

City in Aklan, Philippines

Overview

Makato, a quaint town in Aklan, Philippines, is famed for its welcoming community and the lively Ati-Atihan Festival, which offers visitors an immersive cultural experience. The town is enveloped in lush landscapes and traditional Filipino rural life, making it a perfect stop for travelers seeking authenticity.

Geographic Context

Jurisdiction
Philippines
Province
Aklan
Population
30,650
Time Zone
Asia/Manila
Coordinates
11.71°, 122.18°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
38
Traffic Safety
55
Food Safety
55
Monthly Cost · estimate
$560
Local Cost
$246
Local Income
$215
Cashless
25
English
68
Temperature
27.6°C
Summer Avg
27.8°C
Winter Avg
26.6°C
Record High
32.9°C
Record Low
22.9°C
Humidity
82%
Precipitation
2991 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KLO
Distance
22 km

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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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