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Kabupaten Maros
City in Sulawesi Selatan, Indonesia
Overview
Kabupaten Maros, part of South Sulawesi, Indonesia, is famous for its stunning karst landscapes, expansive rice fields, and lively local markets. Visitor highlights include breathtaking natural parks and historical sites just a short drive from Makassar.
Geographic Context
Jurisdiction
Indonesia
Province
Sulawesi Selatan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-5.05°, 119.72°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$406
Local Cost
$185
Local Income
$220
Cashless
40
English
30
Temperature
25.2°C
Summer Avg
24.9°C
Winter Avg
24.3°C
Record High
38.1°C
Record Low
17.5°C
Humidity
82%
Precipitation
1983 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UPG
Distance
18 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 2026-03-22.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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