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Kabupaten Kulon Progo
City in Di Yogyakarta, Indonesia
Overview
Kabupaten Kulon Progo, located in Yogyakarta Special Region, is a tranquil regency known for its natural beauty, from beaches and hills to thriving rural villages. It offers an authentic Indonesian experience with fewer crowds than nearby cities.
Geographic Context
Jurisdiction
Indonesia
Special Region
Di Yogyakarta
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.64°, 110.03°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$478
Local Cost
$197
Local Income
$175
Cashless
45
English
30
Temperature
23.0°C
Summer Avg
23.3°C
Winter Avg
22.0°C
Record High
34.9°C
Record Low
13.8°C
Humidity
87%
Precipitation
2327 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
YIA
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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