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Kabupaten Kuningan
City in Jawa Barat, Indonesia
Overview
Kabupaten Kuningan, set in the highlands of Jawa Barat, is a gateway to lush nature, traditional Sundanese culture, and cool mountain air. Visitors are drawn to its hot springs, national parks, and peaceful rural towns.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Barat
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.00°, 108.55°
Key Metrics
Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$407
Local Cost
$185
Local Income
$220
Cashless
35
English
30
Temperature
24.8°C
Summer Avg
25.1°C
Winter Avg
23.8°C
Record High
35.7°C
Record Low
15.9°C
Humidity
86%
Precipitation
2308 mm
Internet Speed
46 Mbps
Upload
51 Mbps
Latency
28 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CBN
Distance
27 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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