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Goilala
City in Central, Papua New Guinea
Overview
Goilala is a rugged and remote district in the Central Province of Papua New Guinea, known for its mountainous terrain, lively local traditions, and gold mining history. The population is spread across small settlements, each with its own unique culture and breathtaking natural scenery. Travelers visit Goilala for its adventurous trekking routes and immersive community experiences.
Geographic Context
Jurisdiction
Papua New Guinea
Province
Central
Population
27,345
Time Zone
Pacific/Bougainville
Coordinates
-8.33°, 147.00°
Key Metrics
Safety Score · estimate
30
Female Safety
25
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
35
Monthly Cost · estimate
$610
Local Cost
$315
Local Income
$85
Cashless
10
English
55
Temperature
21.7°C
Summer Avg
21.8°C
Winter Avg
21.1°C
Record High
34.5°C
Record Low
11.8°C
Humidity
82%
Precipitation
1216 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TPI
Distance
3 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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