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Kabupaten Berau
City in Kalimantan Timur, Indonesia
Overview
Kabupaten Berau is an eastern Kalimantan regency famous for its stunning natural attractions, busy local life, and gateway status to the world-renowned Derawan Islands. The region blends history, diverse cultures, and easy access to marine wonders.
Geographic Context
Jurisdiction
Indonesia
Province
Kalimantan Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
2.00°, 117.30°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$503
Local Cost
$255
Local Income
$250
Cashless
30
English
35
Temperature
25.5°C
Summer Avg
25.5°C
Winter Avg
25.1°C
Record High
35.3°C
Record Low
19.9°C
Humidity
90%
Precipitation
2460 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BEJ
Distance
22 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 2026-03-21.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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