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San Joaquin
City in Occidental Mindoro, Philippines
Overview
San Joaquin in Occidental Mindoro is a charming provincial town celebrated for its coastal scenery, fresh seafood, and laidback lifestyle. With its mix of rural beauty and local traditions, it offers an authentic Mindoreño experience far from the bustle of big cities.
Geographic Context
Jurisdiction
Philippines
Province
Occidental Mindoro
Population
52,773
Time Zone
Asia/Manila
Coordinates
14.05°, 121.22°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
45
Monthly Cost · estimate
$480
Local Cost
$232
Local Income
$180
Cashless
30
English
55
Temperature
25.9°C
Summer Avg
26.7°C
Winter Avg
24.1°C
Record High
37.9°C
Record Low
16.0°C
Humidity
85%
Precipitation
2747 mm
Internet Speed
173 Mbps
Upload
179 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
Explore
Data 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 2025-12-06.
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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