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San Bernardo
City in Cagayan Valley, Philippines
Overview
San Bernardo is a small, rural town in Cagayan Valley, Philippines, known for its warm community, scenic agricultural landscapes, and authentic local experiences. While off the mainstream tourist path, visitors will find genuine Filipino hospitality, peaceful countryside, and cultural charm.
Geographic Context
Jurisdiction
Philippines
Region
Cagayan Valley
Population
—
Time Zone
Asia/Manila
Coordinates
17.40°, 121.75°
Key Metrics
Safety Score · estimate
65
Female Safety
52
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$398
Local Cost
$195
Local Income
$200
Cashless
32
English
54
Temperature
25.2°C
Summer Avg
26.4°C
Winter Avg
22.5°C
Record High
40.2°C
Record Low
14.1°C
Humidity
83%
Precipitation
2378 mm
Internet Speed
53 Mbps
Upload
67 Mbps
Latency
48 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
TUG
Distance
27 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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