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Kabwum
City in Morobe, Papua New Guinea
Overview
Kabwum is a remote town in Morobe Province, Papua New Guinea, renowned for its lively local culture and picturesque mountain scenery. The city offers an authentic experience with welcoming communities and traditional villages set among lush forests. Though amenities are basic, Kabwum's charm lies in its simplicity and stunning natural surroundings.
Geographic Context
Jurisdiction
Papua New Guinea
Province
Morobe
Population
41,883
Time Zone
Pacific/Bougainville
Coordinates
-6.08°, 147.00°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
15
Traffic Safety
25
Food Safety
35
Monthly Cost · estimate
$635
Local Cost
$340
Local Income
$120
Cashless
10
English
40
Temperature
22.6°C
Summer Avg
22.7°C
Winter Avg
22.4°C
Record High
30.8°C
Record Low
17.1°C
Humidity
85%
Precipitation
1414 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KYX
Distance
2 km
Explore
Data 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 2025-12-05.
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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