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Pinoma

City in Cagayan Valley, Philippines

Overview

Pinoma is a small, laid-back town in Cagayan Valley, Philippines, surrounded by lush rice fields and rural landscapes. It's the ideal destination for travelers who want to experience authentic Filipino culture away from the crowds.

Geographic Context

Jurisdiction
Philippines
Region
Cagayan Valley
Population
3,305
Time Zone
Asia/Manila
Coordinates
16.87°, 121.71°

Key Metrics

Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$425
Local Cost
$230
Local Income
$180
Cashless
20
English
45
Temperature
25.9°C
Summer Avg
27.3°C
Winter Avg
23.3°C
Record High
40.8°C
Record Low
14.4°C
Humidity
83%
Precipitation
2694 mm
Internet Speed
123 Mbps
Upload
43 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CYZ
Distance
8 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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