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Kabupaten Tebo
City in Jambi, Indonesia
Overview
Kabupaten Tebo is a tranquil regency in Jambi Province, Sumatra, Indonesia, offering a window into traditional village life and lush rainforests. Its riverside scenery, lively local markets, and friendly communities create an authentic experience far from the busy Indonesian tourist trail.
Geographic Context
Jurisdiction
Indonesia
Province
Jambi
Population
—
Time Zone
Asia/Jakarta
Coordinates
-1.46°, 102.37°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$348
Local Cost
$171
Local Income
$185
Cashless
35
English
25
Temperature
25.8°C
Summer Avg
25.6°C
Winter Avg
25.6°C
Record High
32.2°C
Record Low
19.4°C
Humidity
89%
Precipitation
2218 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BUU
Distance
24 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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