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Randudongkal
City in Jawa Tengah, Indonesia
Overview
Randudongkal is a small, lively town in Central Java, Indonesia, known for its genuine local atmosphere, traditional markets, and lush rural surroundings. The community is friendly and welcoming to visitors looking for an authentic small-town Indonesian experience.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Tengah
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.10°, 109.32°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$343
Local Cost
$146
Local Income
$120
Cashless
35
English
25
Temperature
25.6°C
Summer Avg
25.5°C
Winter Avg
24.9°C
Record High
36.5°C
Record Low
17.0°C
Humidity
84%
Precipitation
2167 mm
Internet Speed
18 Mbps
Upload
15 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PWL
Distance
41 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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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