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Kabupaten Belu

City in Nusa Tenggara Timur, Indonesia

Overview

Kabupaten Belu is a modest, border-side regency in East Nusa Tenggara and a gateway to Timor Leste. It offers a glimpse into traditional rural life, busy border towns, and a backdrop of verdant hills. The area is famed for its local markets, friendly community spirit, and unique position at the edge of Indonesia.

Geographic Context

Jurisdiction
Indonesia
Province
Nusa Tenggara Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
-9.41°, 124.95°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
50
Monthly Cost · estimate
$402
Local Cost
$207
Local Income
$200
Cashless
20
English
25
Temperature
26.2°C
Summer Avg
27.0°C
Winter Avg
24.6°C
Record High
34.8°C
Record Low
19.0°C
Humidity
77%
Precipitation
1151 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ABU
Distance
38 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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