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Khoni
City in Maharashtra, India
Overview
Khoni is a rapidly developing town located in the Thane district of Maharashtra, close to major urban centers like Kalyan and Dombivli. The city is characterized by its mix of traditional Maharashtrian culture and emerging real estate developments.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
26,016
Time Zone
Asia/Kolkata
Coordinates
19.31°, 73.05°
Key Metrics
Safety Score · estimate
55
Female Safety
42
LGBTQ+ Safety
32
Traffic Safety
38
Food Safety
47
Monthly Cost · estimate
$420
Local Cost
$169
Local Income
$170
Cashless
25
English
32
Temperature
26.8°C
Summer Avg
27.0°C
Winter Avg
24.4°C
Record High
45.8°C
Record Low
10.0°C
Humidity
64%
Precipitation
2491 mm
Internet Speed
34 Mbps
Upload
31 Mbps
Latency
4 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
BOM
Distance
32 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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