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San Vincente
City in Central Luzon, Philippines
Overview
San Vincente in Central Luzon is a charming coastal town offering a glimpse of authentic Filipino life, beautiful beaches, and tranquil neighborhoods. While development is picking up, the area remains laid-back and affordable with local markets and friendly people. Its picturesque sunsets, fresh seafood, and community spirit draw both domestic and foreign visitors.
Geographic Context
Jurisdiction
Philippines
Region
Central Luzon
Population
—
Time Zone
Asia/Manila
Coordinates
13.41°, 121.17°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$525
Local Cost
$260
Local Income
$250
Cashless
30
English
65
Temperature
27.4°C
Summer Avg
28.2°C
Winter Avg
25.8°C
Record High
33.8°C
Record Low
21.1°C
Humidity
81%
Precipitation
2445 mm
Internet Speed
114 Mbps
Upload
103 Mbps
Latency
17 ms
City Vibrancy
9
Coworking
0
Cafes
6
Nightlife
0
Parks
3
Transport
6
Walk Score
6
Footways
11.0
Airport
CPP
Distance
3 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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