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Kabupaten Tambrauw

City in Papua Barat Daya, Indonesia

Overview

Kabupaten Tambrauw, set in the remote reaches of West Papua, Indonesia, is known for its untouched rainforests, isolated beaches, and rich biodiversity. The region offers authentic cultural experiences and natural beauty for adventurous travelers.

Geographic Context

Jurisdiction
Indonesia
Province
Papua Barat Daya
Population
—
Time Zone
Asia/Jakarta
Coordinates
-0.61°, 132.49°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
40
Monthly Cost · estimate
$494
Local Cost
$273
Local Income
$150
Cashless
20
English
20
Temperature
23.8°C
Summer Avg
23.7°C
Winter Avg
23.6°C
Record High
30.1°C
Record Low
17.8°C
Humidity
89%
Precipitation
2735 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
WRR
Distance
39 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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