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Malad
City in Maharashtra, India
Overview
Malad is a busy Mumbai suburb in Maharashtra, India, straddling both lively commercial zones and quieter residential areas. It's well-connected, culturally diverse, and offers a mix of modern malls and traditional markets.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
19.19°, 72.85°
Key Metrics
Safety Score · estimate
55
Female Safety
40
LGBTQ+ Safety
40
Traffic Safety
30
Food Safety
65
Monthly Cost · estimate
$745
Local Cost
$433
Local Income
$370
Cashless
75
English
60
Temperature
26.8°C
Summer Avg
27.1°C
Winter Avg
24.1°C
Record High
44.9°C
Record Low
10.4°C
Humidity
67%
Precipitation
2509 mm
Internet Speed
83 Mbps
Upload
82 Mbps
Latency
9 ms
City Vibrancy
60
Coworking
2
Cafes
12
Nightlife
2
Parks
44
Transport
5
Walk Score
5
Footways
10.0
Airport
BOM
Distance
11 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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