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Kabupaten Aceh Tengah
City in Aceh, Indonesia
Overview
Kabupaten Aceh Tengah, set in the highlands of Sumatra, is famed for its pristine Lake Lut Tawar, lush coffee plantations, and cool mountain climate. The area offers a tranquil mix of nature, local culture, and scenic villages, perfect for both relaxation and exploration.
Geographic Context
Jurisdiction
Indonesia
Province
Aceh
Population
—
Time Zone
Asia/Jakarta
Coordinates
4.51°, 96.86°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$478
Local Cost
$197
Local Income
$180
Cashless
35
English
25
Temperature
19.6°C
Summer Avg
19.2°C
Winter Avg
19.6°C
Record High
27.7°C
Record Low
11.9°C
Humidity
90%
Precipitation
2845 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TXE
Distance
24 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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