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Kabupaten Asmat
City in Papua Selatan, Indonesia
Overview
Kabupaten Asmat, located in the remote southern region of Papua, Indonesia, is renowned for its rich indigenous culture, unique wooden architecture, and mangrove landscapes. Visitors to this district experience a rare blend of ecological wonders and traditional Asmat art, especially local woodcarving.
Geographic Context
Jurisdiction
Indonesia
Province
Papua Selatan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-5.38°, 138.46°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
20
Food Safety
25
Monthly Cost · estimate
$418
Local Cost
$265
Local Income
$70
Cashless
10
English
15
Temperature
25.6°C
Summer Avg
26.1°C
Winter Avg
24.9°C
Record High
31.5°C
Record Low
18.2°C
Humidity
93%
Precipitation
3297 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
EWE
Distance
45 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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