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Macalong

City in Ilocos, Philippines

Overview

Macalong is a small, close-knit town in the Ilocos region of the Philippines, celebrated for its rural charm, warm hospitality, and beautiful natural landscapes. Its relaxed pace makes it ideal for travelers seeking authenticity and tranquility.

Geographic Context

Jurisdiction
Philippines
Region
Ilocos
Population
5,802
Time Zone
Asia/Manila
Coordinates
16.01°, 120.66°

Key Metrics

Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
38
Traffic Safety
60
Food Safety
52
Monthly Cost · estimate
$385
Local Cost
$202
Local Income
$180
Cashless
22
English
48
Temperature
26.1°C
Summer Avg
26.3°C
Winter Avg
24.5°C
Record High
39.6°C
Record Low
14.1°C
Humidity
80%
Precipitation
2795 mm
Internet Speed
73 Mbps
Upload
97 Mbps
Latency
37 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
BAG
Distance
40 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 34 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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