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Baner
City in Maharashtra, India
Overview
Baner is a thriving suburb in Pune, Maharashtra, known for its modern amenities, lively dining scene, and growing IT-driven economy. With a blend of residential comfort and cosmopolitan lifestyle, it attracts families, professionals, and students alike.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
18.56°, 73.79°
Key Metrics
Safety Score · estimate
66
Female Safety
52
LGBTQ+ Safety
45
Traffic Safety
39
Food Safety
62
Monthly Cost · estimate
$743
Local Cost
$410
Local Income
$420
Cashless
72
English
62
Temperature
23.9°C
Summer Avg
24.3°C
Winter Avg
20.7°C
Record High
43.2°C
Record Low
6.6°C
Humidity
67%
Precipitation
1729 mm
Internet Speed
111 Mbps
Upload
98 Mbps
Latency
4 ms
City Vibrancy
63
Coworking
3
Cafes
38
Nightlife
7
Parks
15
Transport
14
Walk Score
14
Footways
28.0
Airport
PNQ
Distance
14 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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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