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Katabu

City in Sulawesi Tenggara, Indonesia

Overview

Katabu lies in Sulawesi Tenggara, serving as a gateway between urban life and the natural coastlines of southeastern Sulawesi. The city is notable for its friendly locals, affordable living, and proximity to regional attractions.

Geographic Context

Jurisdiction
Indonesia
Province
Sulawesi Tenggara
Population
—
Time Zone
Asia/Jakarta
Coordinates
-4.93°, 122.52°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$452
Local Cost
$253
Local Income
$250
Cashless
30
English
25
Temperature
26.9°C
Summer Avg
27.1°C
Winter Avg
25.6°C
Record High
36.3°C
Record Low
20.8°C
Humidity
82%
Precipitation
2010 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RAQ
Distance
20 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 2026-03-22.
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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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