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Kabupaten Tabalong

City in Kalimantan Selatan, Indonesia

Overview

Kabupaten Tabalong is a quiet regency in South Kalimantan, Indonesia, celebrated for its rural charm, lush landscapes, and authentic Banjarese culture. The area is a gateway to river life, outdoor exploration, and friendly local communities.

Geographic Context

Jurisdiction
Indonesia
Province
Kalimantan Selatan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-1.88°, 115.50°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
36
Traffic Safety
60
Food Safety
54
Monthly Cost · estimate
$394
Local Cost
$235
Local Income
$180
Cashless
32
English
28
Temperature
25.1°C
Summer Avg
25.1°C
Winter Avg
24.6°C
Record High
33.0°C
Record Low
17.4°C
Humidity
91%
Precipitation
2751 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TJG
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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