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Kabupaten Sumba Barat
City in Nusa Tenggara Timur, Indonesia
Overview
Kabupaten Sumba Barat is a remote, culturally rich region on Sumba Island, Indonesia, famed for its traditional villages, rituals, and wild landscapes. It attracts adventure seekers, nature lovers, and those looking to explore an undiscovered side of Indonesia off the beaten path.
Geographic Context
Jurisdiction
Indonesia
Province
Nusa Tenggara Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
-9.57°, 119.45°
Key Metrics
Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
42
Food Safety
45
Monthly Cost · estimate
$413
Local Cost
$255
Local Income
$140
Cashless
15
English
30
Temperature
27.2°C
Summer Avg
27.1°C
Winter Avg
26.1°C
Record High
35.3°C
Record Low
20.4°C
Humidity
73%
Precipitation
1163 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TMC
Distance
29 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: 32/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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