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Ballalpur
City in Maharashtra, India
Overview
Ballalpur is a small city in Maharashtra's Chandrapur district, functioning as a hub for local commerce, industry, and culture. Visitors will find traditional markets, lively street food, and a welcoming, small-town atmosphere.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
19.85°, 79.35°
Key Metrics
Safety Score · estimate
45
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
40
Monthly Cost · estimate
$337
Local Cost
$166
Local Income
$150
Cashless
25
English
35
Temperature
27.3°C
Summer Avg
28.5°C
Winter Avg
22.6°C
Record High
48.7°C
Record Low
5.8°C
Humidity
57%
Precipitation
1199 mm
Internet Speed
73 Mbps
Upload
47 Mbps
Latency
33 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
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 2026-03-22.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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