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Kabupaten Yalimo
City in Papua Pegunungan, Indonesia
Overview
Kabupaten Yalimo is a remote regency in Papua, Indonesia, noted for its rugged terrain, indigenous cultures, and natural scenery. It offers travelers opportunities to experience traditional Papuan village life and scenic landscapes away from mainstream tourist routes.
Geographic Context
Jurisdiction
Indonesia
Province
Papua Pegunungan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-3.86°, 138.47°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
30
Food Safety
30
Monthly Cost · estimate
$370
Local Cost
$260
Local Income
$80
Cashless
15
English
15
Temperature
13.4°C
Summer Avg
13.6°C
Winter Avg
12.9°C
Record High
21.1°C
Record Low
2.9°C
Humidity
90%
Precipitation
2446 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TMY
Distance
7 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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