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Kabupaten Jayapura
City in Papua, Indonesia
Overview
Kabupaten Jayapura, located in Papua province, features lush landscapes, the scenic Lake Sentani, and colorful Papuan culture. The regency is a gateway to adventure, lively markets, and traditional arts. Visitors can experience authentic local life as well as easy access to nature.
Geographic Context
Jurisdiction
Indonesia
Province
Papua
Population
—
Time Zone
Asia/Jakarta
Coordinates
-3.00°, 139.95°
Key Metrics
Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$668
Local Cost
$317
Local Income
$230
Cashless
35
English
20
Temperature
24.8°C
Summer Avg
24.9°C
Winter Avg
24.4°C
Record High
36.1°C
Record Low
18.5°C
Humidity
89%
Precipitation
2072 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LHI
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: 28/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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