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Sapadun

City in Cagayan, Philippines

Overview

Sapadun is a small municipality in Cagayan, Philippines, offering a quiet provincial atmosphere surrounded by lush rice fields and river scenery. Visitors experience authentic Filipino rural life, friendly locals, and simple but hearty local cuisine.

Geographic Context

Jurisdiction
Philippines
Province
Cagayan
Population
4,376
Time Zone
Asia/Manila
Coordinates
7.48°, 124.25°

Key Metrics

Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$507
Local Cost
$208
Local Income
$110
Cashless
10
English
40
Temperature
24.0°C
Summer Avg
23.8°C
Winter Avg
23.7°C
Record High
38.4°C
Record Low
15.3°C
Humidity
86%
Precipitation
2551 mm
Internet Speed
25 Mbps
Upload
10 Mbps
Latency
41 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MLP
Distance
26 km

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 2025-12-07.
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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