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Kabupaten Hulu Sungai Tengah
City in Kalimantan Selatan, Indonesia
Overview
Kabupaten Hulu Sungai Tengah is a regency in South Kalimantan, Indonesia, celebrated for its rivers, natural caves, and rural landscapes. The region offers authentic local experiences, traditional markets, and scenic eco-tourism, especially around Barabai and Pagat.
Geographic Context
Jurisdiction
Indonesia
Province
Kalimantan Selatan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-2.62°, 115.42°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$320
Local Cost
$163
Local Income
$180
Cashless
35
English
25
Temperature
24.8°C
Summer Avg
24.8°C
Winter Avg
24.2°C
Record High
34.5°C
Record Low
16.9°C
Humidity
90%
Precipitation
2625 mm
Internet Speed
264 Mbps
Upload
45 Mbps
Latency
32 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TJG
Distance
45 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: 43/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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