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Tayum

City in Cordillera Administrative, Philippines

Overview

Tayum is a charming municipality in the Cordillera Region, known for its Spanish-era church and tranquil rural setting. It offers a glimpse into traditional Abra culture, with friendly locals and a laid-back pace.

Geographic Context

Jurisdiction
Philippines
Region
Cordillera Administrative
Population
14,808
Time Zone
Asia/Manila
Coordinates
17.62°, 120.65°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$390
Local Cost
$235
Local Income
$180
Cashless
30
English
60
Temperature
25.7°C
Summer Avg
25.9°C
Winter Avg
24.2°C
Record High
38.7°C
Record Low
15.3°C
Humidity
77%
Precipitation
2728 mm
Internet Speed
110 Mbps
Upload
96 Mbps
Latency
32 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 30 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 2025-12-06.

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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