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Kabupaten Soppeng
City in Sulawesi Selatan, Indonesia
Overview
Kabupaten Soppeng, located in the heart of South Sulawesi, Indonesia, is famous for its abundant bats, lush landscapes, and lively Bugis culture. The city blends rural charm with small-town energy, making it a solid destination for authentic cultural and nature experiences.
Geographic Context
Jurisdiction
Indonesia
Province
Sulawesi Selatan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-4.38°, 119.89°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$363
Local Cost
$188
Local Income
$155
Cashless
30
English
25
Temperature
26.2°C
Summer Avg
25.9°C
Winter Avg
25.5°C
Record High
39.1°C
Record Low
18.7°C
Humidity
81%
Precipitation
2117 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
APD
Distance
47 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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