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Alabat
City in Quezon, Philippines
Overview
Alabat is a picturesque coastal town on Alabat Island in Quezon, Philippines, known for its pristine beaches, lush farms, and relaxed community vibe. Small, friendly, and steeped in local culture, it's perfect for travelers seeking an authentic small-island experience away from urban crowds.
Geographic Context
Jurisdiction
Philippines
Province
Quezon
Population
15,744
Time Zone
Asia/Manila
Coordinates
14.11°, 121.98°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
55
Monthly Cost · estimate
$415
Local Cost
$212
Local Income
$170
Cashless
25
English
55
Temperature
27.1°C
Summer Avg
27.9°C
Winter Avg
25.5°C
Record High
35.4°C
Record Low
21.4°C
Humidity
83%
Precipitation
2801 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BSI
Distance
35 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 2025-12-06.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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