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Insrom
City in Papua, Indonesia
Overview
Insrom is a small coastal town in Papua, Indonesia, known for its laid-back atmosphere, welcoming community, and stunning beach views. The town is surrounded by natural beauty, with opportunities to experience authentic Papuan culture and local traditions.
Geographic Context
Jurisdiction
Indonesia
Province
Papua
Population
3,452
Time Zone
Asia/Jakarta
Coordinates
-1.14°, 136.03°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
30
Monthly Cost · estimate
$410
Local Cost
$202
Local Income
$150
Cashless
10
English
15
Temperature
27.9°C
Summer Avg
27.8°C
Winter Avg
27.7°C
Record High
30.9°C
Record Low
25.2°C
Humidity
81%
Precipitation
2876 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BIK
Distance
10 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 2025-12-07.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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