Bagli

City in Madhya Pradesh, India

Overview

Bagli is a small, lively town in Madhya Pradesh, India, renowned for its strong agricultural roots and friendly community. Life here moves at a relaxed pace, with colorful bazaars and lush green surroundings giving visitors a glimpse of authentic rural India.

Geographic Context

Jurisdiction
India
State
Madhya Pradesh
Population
10,764
Time Zone
Asia/Kolkata
Coordinates
22.64°, 76.35°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
25
Traffic Safety
35
Food Safety
30
Monthly Cost · estimate
$257
Local Cost
$129
Local Income
$95
Cashless
25
English
20
Temperature
26.4°C
Summer Avg
28.5°C
Winter Avg
20.7°C
Record High
48.3°C
Record Low
3.7°C
Humidity
51%
Precipitation
1033 mm
Internet Speed
38 Mbps
Upload
38 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
Overture Maps and OpenStreetMap - 65 source-backed neighborhood entities are available for this city. Record updated 2026-03-25.

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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.