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Soyung
City in Cagayan Valley, Philippines
Overview
Soyung is a small, rural municipality in Cagayan Valley, Philippines, known for its laid-back charm and close-knit community. Visitors will experience authentic Filipino countryside life, picturesque landscapes, and warm hospitality. While off the main tourist route, Soyung offers tranquility and a glimpse into local traditions.
Geographic Context
Jurisdiction
Philippines
Region
Cagayan Valley
Population
5,418
Time Zone
Asia/Manila
Coordinates
16.70°, 121.67°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$405
Local Cost
$207
Local Income
$210
Cashless
15
English
50
Temperature
24.9°C
Summer Avg
26.3°C
Winter Avg
22.5°C
Record High
39.8°C
Record Low
14.0°C
Humidity
85%
Precipitation
2993 mm
Internet Speed
59 Mbps
Upload
82 Mbps
Latency
39 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CYZ
Distance
27 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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