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Lawang Kupang
City in Central Luzon, Philippines
Overview
Lawang Kupang is a small town set in Central Luzon, Philippines, with a warm, rural charm and a tightly-knit local community. Visitors will find humble markets, green spaces, and a glimpse of local Philippine village life. Its genuine hospitality and slow pace make it an inviting stop for travelers seeking an authentic experience.
Geographic Context
Jurisdiction
Philippines
Region
Central Luzon
Population
2,616
Time Zone
Asia/Manila
Coordinates
15.35°, 120.86°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
72
Monthly Cost · estimate
$440
Local Cost
$215
Local Income
$190
Cashless
25
English
50
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
53 Mbps
Upload
61 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CRK
Distance
37 km
Explore
Data sources
Source-backed data
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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