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Kabupaten Padang Lawas Utara
City in Sumatera Utara, Indonesia
Overview
Kabupaten Padang Lawas Utara is a regency in North Sumatra, Indonesia, offering an authentic Indonesian rural experience. The region is dotted with rice paddies, traditional markets, and pockets of historic sites reflecting ancient Batak culture.
Geographic Context
Jurisdiction
Indonesia
Province
Sumatera Utara
Population
—
Time Zone
Asia/Jakarta
Coordinates
1.46°, 99.67°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$314
Local Cost
$187
Local Income
$180
Cashless
25
English
20
Temperature
23.2°C
Summer Avg
23.0°C
Winter Avg
23.1°C
Record High
30.0°C
Record Low
17.6°C
Humidity
91%
Precipitation
4344 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AEG
Distance
28 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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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