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Calingcuan

City in Central Luzon, Philippines

Overview

Calingcuan is a small, tranquil town in Central Luzon, Philippines, known for its tight-knit community and lush rice fields. While modest in size, it offers a genuine glimpse into rural Filipino life and hospitality.

Geographic Context

Jurisdiction
Philippines
Region
Central Luzon
Population
3,208
Time Zone
Asia/Manila
Coordinates
15.33°, 120.58°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$558
Local Cost
$268
Local Income
$220
Cashless
25
English
40
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
121 Mbps
Upload
106 Mbps
Latency
41 ms
City Vibrancy
13
Coworking
0
Cafes
9
Nightlife
1
Parks
3
Transport
6
Walk Score
6
Footways
11.0
Airport
CRK
Distance
16 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 548 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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