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Wangon
City in Jawa Tengah, Indonesia
Overview
Wangon is a small, lively town in Central Java, Indonesia, serving as a key transport hub between major cities and nearby attractions. It charms visitors with its traditional markets, friendly locals, and lively roadside culinary scene.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Tengah
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.52°, 109.05°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$303
Local Cost
$160
Local Income
$110
Cashless
35
English
25
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
29 Mbps
Upload
22 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CXP
Distance
14 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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