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Kabupaten Tapanuli Utara
City in Sumatera Utara, Indonesia
Overview
Kabupaten Tapanuli Utara is a scenic highland regency in North Sumatra, Indonesia, known as a gateway to Lake Toba and the heartland of Batak culture. It offers a tranquil blend of rural landscapes, busy small towns, and cultural depth away from typical tourist crowds.
Geographic Context
Jurisdiction
Indonesia
Province
Sumatera Utara
Population
—
Time Zone
Asia/Jakarta
Coordinates
2.00°, 99.07°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$385
Local Cost
$186
Local Income
$200
Cashless
30
English
25
Temperature
21.9°C
Summer Avg
21.7°C
Winter Avg
21.7°C
Record High
28.8°C
Record Low
15.9°C
Humidity
91%
Precipitation
4060 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DTB
Distance
30 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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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