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Kabupaten Kepulauan Sangihe
City in Sulawesi Utara, Indonesia
Overview
Kabupaten Kepulauan Sangihe is a remote archipelago in North Sulawesi, Indonesia, renowned for pristine beaches, lively local culture, and volcanic scenery. It offers an authentic island experience, away from Indonesia's typical tourist routes.
Geographic Context
Jurisdiction
Indonesia
Province
Sulawesi Utara
Population
—
Time Zone
Asia/Jakarta
Coordinates
3.50°, 125.55°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
50
Monthly Cost · estimate
$430
Local Cost
$187
Local Income
$170
Cashless
30
English
30
Temperature
27.6°C
Summer Avg
27.4°C
Winter Avg
27.4°C
Record High
30.7°C
Record Low
24.6°C
Humidity
82%
Precipitation
1608 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NAH
Distance
21 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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