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Gunung Kendil
City in Jawa Tengah, Indonesia
Overview
Gunung Kendil is a peaceful rural town in Central Java, Indonesia, known for its terraced rice fields and welcoming community. With just over a thousand residents, the village offers a quiet escape from the larger Javanese cities and an authentic look at local life.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Tengah
Population
1,273
Time Zone
Asia/Jakarta
Coordinates
-7.33°, 110.40°
Key Metrics
Safety Score · estimate
70
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$266
Local Cost
$153
Local Income
$120
Cashless
25
English
30
Temperature
25.0°C
Summer Avg
24.8°C
Winter Avg
24.1°C
Record High
38.7°C
Record Low
15.8°C
Humidity
83%
Precipitation
2093 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
SRG
Distance
40 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 2025-12-08.
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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