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Calaba

City in Central Luzon, Philippines

Overview

Calaba is a small rural community in Central Luzon, Philippines. Known for its friendly locals, easygoing pace, and picturesque rice paddies, the town offers a quiet escape from city life and is a window into traditional Filipino rural culture.

Geographic Context

Jurisdiction
Philippines
Region
Central Luzon
Population
2,482
Time Zone
Asia/Manila
Coordinates
15.30°, 120.87°

Key Metrics

Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$412
Local Cost
$198
Local Income
$160
Cashless
20
English
60
Temperature
26.7°C
Summer Avg
26.8°C
Winter Avg
25.1°C
Record High
41.8°C
Record Low
14.9°C
Humidity
80%
Precipitation
2753 mm
Internet Speed
84 Mbps
Upload
124 Mbps
Latency
8 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CRK
Distance
36 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 9 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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