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Kabupaten Nias
City in Sumatera Utara, Indonesia
Overview
Kabupaten Nias, located off the west coast of Sumatra, Indonesia, is famous for its pristine beaches, world-class surfing, and unique traditional culture, including iconic stone jumping ceremonies. The region offers a blend of adventure and authenticity, with friendly locals and scenic landscapes.
Geographic Context
Jurisdiction
Indonesia
Province
Sumatera Utara
Population
—
Time Zone
Asia/Jakarta
Coordinates
1.03°, 97.77°
Key Metrics
Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$318
Local Cost
$183
Local Income
$80
Cashless
30
English
25
Temperature
27.5°C
Summer Avg
27.6°C
Winter Avg
27.4°C
Record High
31.3°C
Record Low
24.6°C
Humidity
80%
Precipitation
2823 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GNS
Distance
16 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: 44/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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