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San Fernando
City in Romblon, Philippines
Overview
San Fernando, Romblon is a laid-back municipality famed for its beautiful beaches, friendly locals, and tranquil island atmosphere. Its lively town center mixes tradition with hospitality, while nearby areas offer stunning nature and relaxation. Rich in culture and picturesque scenery, it's a gateway to authentic Philippine island life.
Geographic Context
Jurisdiction
Philippines
Province
Romblon
Population
76,110
Time Zone
Asia/Manila
Coordinates
12.36°, 122.38°
Key Metrics
Safety Score · estimate
65
Female Safety
58
LGBTQ+ Safety
38
Traffic Safety
77
Food Safety
60
Monthly Cost · estimate
$438
Local Cost
$238
Local Income
$210
Cashless
28
English
70
Temperature
27.6°C
Summer Avg
28.1°C
Winter Avg
26.4°C
Record High
32.5°C
Record Low
22.5°C
Humidity
81%
Precipitation
2558 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TBH
Distance
33 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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