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Lahat Regency
City in Sumatera Selatan, Indonesia
Overview
Lahat Regency is a tranquil regency in South Sumatra, Indonesia, famed for its lush landscapes, cool climate, and access to numerous natural attractions like waterfalls and hills. Its small towns and friendly locals make it a charming stop for those seeking authentic Sumatran culture away from big city crowds.
Geographic Context
Jurisdiction
Indonesia
Province
Sumatera Selatan
Population
—
Time Zone
Asia/Jakarta
Coordinates
-3.79°, 103.54°
Key Metrics
Safety Score · estimate
62
Female Safety
55
LGBTQ+ Safety
32
Traffic Safety
45
Food Safety
53
Monthly Cost · estimate
$325
Local Cost
$171
Local Income
$130
Cashless
27
English
22
Temperature
24.4°C
Summer Avg
24.1°C
Winter Avg
24.1°C
Record High
35.3°C
Record Low
17.0°C
Humidity
87%
Precipitation
2666 mm
Internet Speed
48 Mbps
Upload
43 Mbps
Latency
34 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PXA
Distance
32 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: 56/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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