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Kabupaten Serdang Bedagai
City in Sumatera Utara, Indonesia
Overview
Kabupaten Serdang Bedagai in North Sumatra is a blend of agricultural charm, coastal beauty, and local culture. The region is known for its friendly communities, fresh seafood, and relaxing seaside areas perfect for unwinding away from big city crowds.
Geographic Context
Jurisdiction
Indonesia
Province
Sumatera Utara
Population
—
Time Zone
Asia/Jakarta
Coordinates
3.37°, 99.03°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$350
Local Cost
$182
Local Income
$180
Cashless
35
English
25
Temperature
25.8°C
Summer Avg
26.0°C
Winter Avg
25.2°C
Record High
32.4°C
Record Low
19.5°C
Humidity
86%
Precipitation
2275 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KNO
Distance
34 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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