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Kabupaten Jayawijaya
City in Papua Pegunungan, Indonesia
Overview
Kabupaten Jayawijaya, anchored by the town of Wamena, is a remote highland region in Papua, Indonesia, renowned for its lush valleys, traditional villages, and unique cultural heritage. The area offers dramatic scenery and insight into Papuan life, but amenities can be basic.
Geographic Context
Jurisdiction
Indonesia
Province
Papua Pegunungan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-4.08°, 139.08°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
30
Food Safety
30
Monthly Cost · estimate
$487
Local Cost
$250
Local Income
$150
Cashless
20
English
15
Temperature
17.5°C
Summer Avg
17.8°C
Winter Avg
17.1°C
Record High
26.1°C
Record Low
10.1°C
Humidity
90%
Precipitation
2090 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
WMX
Distance
15 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 2026-03-21.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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