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Majenang
City in Jawa Tengah, Indonesia
Overview
Majenang is a lively town set in the uplands of Central Java, Indonesia. It blends lively local markets with the calmness of surrounding rice fields and small rivers. With a welcoming community and delicious food, it's a relaxing base to experience rural Javanese life.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Tengah
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.30°, 108.76°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$294
Local Cost
$151
Local Income
$170
Cashless
25
English
30
Temperature
25.1°C
Summer Avg
25.7°C
Winter Avg
23.9°C
Record High
34.7°C
Record Low
17.0°C
Humidity
87%
Precipitation
2670 mm
Internet Speed
37 Mbps
Upload
19 Mbps
Latency
14 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
CXP
Distance
49 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 2026-03-23.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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