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Kanker

City in Chhattisgarh, India

Overview

Kanker is a small yet historically rich city in Chhattisgarh, known for its royal palaces, lush forests, and lively tribal culture. It offers a blend of urban convenience and access to pristine nature, ideal for visitors seeking authentic central Indian experiences.

Geographic Context

Jurisdiction
India
State
Chhattisgarh
Population
37,442
Time Zone
Asia/Kolkata
Coordinates
20.27°, 81.49°

Key Metrics

Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$363
Local Cost
$194
Local Income
$150
Cashless
35
English
25
Temperature
25.5°C
Summer Avg
27.4°C
Winter Avg
19.9°C
Record High
46.8°C
Record Low
4.2°C
Humidity
62%
Precipitation
1408 mm
Internet Speed
76 Mbps
Upload
67 Mbps
Latency
13 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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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 46 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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