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Kabupaten Lampung Selatan
City in Lampung, Indonesia
Overview
Kabupaten Lampung Selatan, located at the southern tip of Sumatra, is known for its welcoming coastal towns, ferry connections, and natural beauty. Home to popular beaches and buzzing markets, it offers a genuine slice of Indonesian life away from bigger tourist crowds.
Geographic Context
Jurisdiction
Indonesia
Province
Lampung
Population
—
Time Zone
Asia/Jakarta
Coordinates
-5.45°, 104.99°
Key Metrics
Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$404
Local Cost
$219
Local Income
$150
Cashless
35
English
35
Temperature
26.3°C
Summer Avg
26.0°C
Winter Avg
26.0°C
Record High
35.2°C
Record Low
21.0°C
Humidity
83%
Precipitation
1913 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TKG
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 2026-03-21.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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