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Tambul Nebilyer
City in Western Highlands, Papua New Guinea
Overview
Tambul Nebilyer is a picturesque region in Papua New Guinea's Western Highlands, blending ancient cultural heritage with dramatic natural beauty. Visitors can experience lively local traditions, sprawling highland valleys, and unique historical sites. The area is popular among travelers seeking authentic village experiences and scenic highland landscapes.
Geographic Context
Jurisdiction
Papua New Guinea
Province
Western Highlands
Population
—
Time Zone
Pacific/Bougainville
Coordinates
-5.98°, 144.15°
Key Metrics
Safety Score · estimate
30
Female Safety
25
LGBTQ+ Safety
20
Traffic Safety
30
Food Safety
40
Monthly Cost · estimate
$725
Local Cost
$452
Local Income
$160
Cashless
10
English
45
Temperature
17.8°C
Summer Avg
18.1°C
Winter Avg
17.3°C
Record High
28.6°C
Record Low
6.8°C
Humidity
88%
Precipitation
1982 mm
Internet Speed
3 Mbps
Upload
4 Mbps
Latency
136 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HGU
Distance
24 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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 2026-03-21.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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