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Kabupaten Jombang
City in Jawa Timur, Indonesia
Overview
Kabupaten Jombang is a charming town in East Java, Indonesia, known for its pesantren (Islamic boarding schools), local heritage, and proximity to lush rice fields. This area offers a blend of cultural tradition, rural scenery, and warm local hospitality.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.55°, 112.25°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$353
Local Cost
$215
Local Income
$180
Cashless
40
English
30
Temperature
26.5°C
Summer Avg
25.7°C
Winter Avg
26.0°C
Record High
39.5°C
Record Low
17.2°C
Humidity
77%
Precipitation
1845 mm
Internet Speed
46 Mbps
Upload
36 Mbps
Latency
8 ms
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
DHX
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 2025-12-09.
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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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