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Kabupaten Gunung Kidul
City in Di Yogyakarta, Indonesia
Overview
Kabupaten Gunung Kidul, located in southern Central Java, is famed for its karst landscapes, pristine beaches, and cave networks. The region is still largely rural, offering authentic Javanese culture and natural attractions away from the bustle of central Yogyakarta.
Geographic Context
Jurisdiction
Indonesia
Special Region
Di Yogyakarta
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.98°, 110.62°
Key Metrics
Safety Score · estimate
65
Female Safety
50
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$350
Local Cost
$187
Local Income
$160
Cashless
25
English
25
Temperature
25.8°C
Summer Avg
26.1°C
Winter Avg
24.9°C
Record High
35.0°C
Record Low
18.5°C
Humidity
83%
Precipitation
2159 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JOG
Distance
29 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 2026-03-21.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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