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Martapura
City in Kalimantan Selatan, Indonesia
Overview
Martapura is a lively city in South Kalimantan, Indonesia, known as the capital of the Indonesian gemstone trade. The city's lively markets, local mosques, and riverside scenes offer a mix of tradition and commerce set in lush surroundings.
Geographic Context
Jurisdiction
Indonesia
Province
Kalimantan Selatan
Population
131,449
Time Zone
Asia/Jakarta
Coordinates
-3.41°, 114.86°
Key Metrics
Safety Score · estimate
60
Female Safety
52
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
58
Monthly Cost · estimate
$435
Local Cost
$188
Local Income
$210
Cashless
47
English
38
Temperature
26.5°C
Summer Avg
26.3°C
Winter Avg
25.8°C
Record High
40.0°C
Record Low
19.5°C
Humidity
84%
Precipitation
2630 mm
Internet Speed
35 Mbps
Upload
26 Mbps
Latency
8 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
BDJ
Distance
12 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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