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Pakisaji
City in Jawa Timur, Indonesia
Overview
Pakisaji, located in Jawa Timur, Indonesia, is a small but lively town known for its mix of rural landscapes and local community life. This area is ideal for travelers seeking authentic Javanese culture and tranquility away from major city crowds.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
-8.07°, 112.60°
Key Metrics
Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$407
Local Cost
$193
Local Income
$120
Cashless
40
English
30
Temperature
24.5°C
Summer Avg
24.4°C
Winter Avg
23.5°C
Record High
36.6°C
Record Low
15.5°C
Humidity
81%
Precipitation
1865 mm
Internet Speed
21 Mbps
Upload
8 Mbps
Latency
41 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
MLG
Distance
20 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 2026-03-23.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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