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Malang
City in Jawa Timur, Indonesia
Overview
Malang is a lively city in East Java, blending colonial charm, university life, and cool mountain air. Known for historic avenues, lush parks, and a rich coffee culture, it is a gateway to East Java's natural wonders.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Timur
Population
866,118
Time Zone
Asia/Jakarta
Coordinates
-7.98°, 112.63°
Key Metrics
Safety Score
68
Female Safety
63
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
65
Monthly Cost
$603
Local Cost
$237
Local Income
$260
Cashless
62
English
38
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
47 Mbps
Upload
33 Mbps
Latency
21 ms
City Vibrancy
92
Coworking
1
Cafes
56
Nightlife
1
Parks
34
Transport
0
Walk Score
0
Footways
—
Airport
MLG
Distance
11 km
Explore
Neighborhoods
Mapped153 neighborhoods sourced from Overture Maps and OpenStreetMap.
01, Kel Balearjosari, Kel Blimbing, Kota Malang 01, Kel Bumiayu, Kec Kedungkandang, Kota Malang 01, Kel Penanggungan, Kec Klojen, Kota Malang
View all 153 neighborhoods Frequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 332 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 153 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 86/100.
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