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Kabupaten Yahukimo
City in Papua Pegunungan, Indonesia
Overview
Kabupaten Yahukimo is a remote regency in Papua, Indonesia, renowned for its rich diversity of Papuan cultures and stunning rainforests. The region is characterized by river valleys, high mountains, and indigenous villages, making it an intriguing destination for adventurous travelers.
Geographic Context
Jurisdiction
Indonesia
Province
Papua Pegunungan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-4.60°, 139.58°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
20
Monthly Cost · estimate
$302
Local Cost
$192
Local Income
$150
Cashless
10
English
20
Temperature
18.0°C
Summer Avg
18.1°C
Winter Avg
17.6°C
Record High
28.0°C
Record Low
11.1°C
Humidity
90%
Precipitation
2370 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DEX
Distance
30 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
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 2026-03-22.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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