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Neemuch

City in Madhya Pradesh, India

Overview

Neemuch is a mid-sized city in Madhya Pradesh, India, known for its agricultural produce, opium factories, and lively local culture. It offers a mix of historical sites, busy markets, and tranquil neighborhoods, making it an authentic entry point to rural Madhya Pradesh.

Geographic Context

Jurisdiction
India
State
Madhya Pradesh
Population
826,067
Time Zone
Asia/Kolkata
Coordinates
24.47°, 74.87°

Key Metrics

Safety Score · estimate
60
Female Safety
38
LGBTQ+ Safety
45
Traffic Safety
40
Food Safety
42
Monthly Cost · estimate
$460
Local Cost
$200
Local Income
$150
Cashless
47
English
30
Temperature
25.4°C
Summer Avg
29.1°C
Winter Avg
18.1°C
Record High
47.1°C
Record Low
2.5°C
Humidity
48%
Precipitation
778 mm
Internet Speed
337 Mbps
Upload
14 Mbps
Latency
60 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
8
Walk Score
8
Footways
16.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. Record updated 2025-12-06.
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 2025-12-06.

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: 46/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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