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Dongri
City in Maharashtra, India
Overview
Dongri is a dynamic and historic neighborhood in Maharashtra, India, famous for its lively markets, street food, and cultural traditions. The area offers a unique glimpse into local life, blending old-world charm with the bustle of urban living.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
19.28°, 72.78°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
45
Monthly Cost · estimate
$427
Local Cost
$232
Local Income
$120
Cashless
25
English
40
Temperature
27.2°C
Summer Avg
28.3°C
Winter Avg
24.7°C
Record High
34.7°C
Record Low
17.0°C
Humidity
74%
Precipitation
1851 mm
Internet Speed
55 Mbps
Upload
26 Mbps
Latency
4 ms
City Vibrancy
13
Coworking
0
Cafes
0
Nightlife
0
Parks
13
Transport
2
Walk Score
2
Footways
4.0
Airport
BOM
Distance
23 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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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