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Kabupaten Aceh Barat Daya
City in Aceh, Indonesia
Overview
Kabupaten Aceh Barat Daya is a scenic regency in Aceh province, Indonesia, well known for its lush landscapes, relaxed pace, and traditional Acehnese culture. Visitors can enjoy quiet beaches, local markets, and authentic village experiences away from the major tourist trail.
Geographic Context
Jurisdiction
Indonesia
Province
Aceh
Population
—
Time Zone
Asia/Jakarta
Coordinates
3.83°, 96.88°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
50
Monthly Cost · estimate
$401
Local Cost
$175
Local Income
$180
Cashless
25
English
20
Temperature
21.2°C
Summer Avg
20.9°C
Winter Avg
21.3°C
Record High
28.2°C
Record Low
14.6°C
Humidity
90%
Precipitation
3300 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KJX
Distance
15 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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