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Kencong
City in Jawa Timur, Indonesia
Overview
Kencong is a small town in East Java, Indonesia, known for its tranquil atmosphere, traditional markets, and lively local culture. The surrounding rural scenery offers a peaceful retreat, making it an interesting stop for travelers seeking authenticity off the main tourist path.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Timur
Population
67,896
Time Zone
Asia/Jakarta
Coordinates
-8.28°, 113.37°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$302
Local Cost
$166
Local Income
$180
Cashless
35
English
30
Temperature
26.7°C
Summer Avg
27.5°C
Winter Avg
25.5°C
Record High
31.1°C
Record Low
21.8°C
Humidity
81%
Precipitation
1721 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JBB
Distance
36 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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