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Calantas

City in Central Luzon, Philippines

Overview

Calantas is a quaint and serene town in Central Luzon, Philippines, with a close-knit community, beautiful rice fields, and slow-paced rural life. The area is known for its natural scenery, friendly locals, and traditional Filipino charm.

Geographic Context

Jurisdiction
Philippines
Region
Central Luzon
Population
4,519
Time Zone
Asia/Manila
Coordinates
15.02°, 120.52°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
45
Monthly Cost · estimate
$622
Local Cost
$220
Local Income
$180
Cashless
25
English
60
Temperature
26.5°C
Summer Avg
26.7°C
Winter Avg
24.9°C
Record High
40.3°C
Record Low
15.7°C
Humidity
81%
Precipitation
2743 mm
Internet Speed
128 Mbps
Upload
106 Mbps
Latency
7 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
4.0
Airport
CRK
Distance
19 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 14 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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