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Kabupaten Kaimana
City in Papua Barat, Indonesia
Overview
Kabupaten Kaimana sits on the remote coastline of West Papua, Indonesia, offering pristine beaches, coral reefs, and traditional Papuan culture. Its tranquil atmosphere attracts eco-tourists and those seeking authentic local experiences, away from urban hustle.
Geographic Context
Jurisdiction
Indonesia
Province
Papua Barat
Population
—
Time Zone
Asia/Jakarta
Coordinates
-3.66°, 133.77°
Key Metrics
Safety Score · estimate
45
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$476
Local Cost
$237
Local Income
$150
Cashless
10
English
20
Temperature
24.8°C
Summer Avg
25.3°C
Winter Avg
24.0°C
Record High
32.5°C
Record Low
19.5°C
Humidity
90%
Precipitation
2516 mm
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
KNG
Distance
9 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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