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Amarkantak
City in Madhya Pradesh, India
Overview
Amarkantak is a tranquil pilgrimage town in Madhya Pradesh, famed as the origin of the Narmada and Son rivers. Rich in temples and surrounded by lush hills and forests, it attracts both spiritual seekers and nature lovers.
Geographic Context
Jurisdiction
India
State
Madhya Pradesh
Population
7,074
Time Zone
Asia/Kolkata
Coordinates
22.67°, 81.76°
Key Metrics
Safety Score · estimate
65
Female Safety
50
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$353
Local Cost
$197
Local Income
$90
Cashless
30
English
30
Temperature
25.2°C
Summer Avg
28.1°C
Winter Avg
19.0°C
Record High
46.9°C
Record Low
1.7°C
Humidity
56%
Precipitation
1278 mm
Internet Speed
408 Mbps
Upload
31 Mbps
Latency
43 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
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 2025-12-07.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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