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Tapel
City in Cagayan Valley, Philippines
Overview
Tapel is a small, rural town set amid rice fields and gently rolling hills in the heart of Cagayan Valley, Philippines. It's known for its friendly locals, traditional villages, and peaceful countryside atmosphere. Visitors come to experience authentic Filipino rural life and beautiful landscapes.
Geographic Context
Jurisdiction
Philippines
Region
Cagayan Valley
Population
2,548
Time Zone
Asia/Manila
Coordinates
18.29°, 122.03°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$421
Local Cost
$240
Local Income
$180
Cashless
10
English
35
Temperature
26.9°C
Summer Avg
28.6°C
Winter Avg
24.5°C
Record High
35.0°C
Record Low
19.6°C
Humidity
81%
Precipitation
2315 mm
Internet Speed
24 Mbps
Upload
13 Mbps
Latency
21 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LLC
Distance
32 km
Explore
Data sources
Source-backed data
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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