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Mahape
City in Maharashtra, India
Overview
Mahape is an industrial and IT corridor in Navi Mumbai, Maharashtra, known for its business parks and technology companies. It offers a mix of modern urban amenities and traditional local culture, making it a functional base for both business travelers and long-term residents.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
19.12°, 73.03°
Key Metrics
Safety Score · estimate
60
Female Safety
52
LGBTQ+ Safety
45
Traffic Safety
38
Food Safety
53
Monthly Cost · estimate
$633
Local Cost
$428
Local Income
$320
Cashless
75
English
55
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
22 Mbps
Upload
24 Mbps
Latency
12 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
NMI
Distance
15 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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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