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Research Paper Volume 7 Issue 2 104 - 120 March 30, 2025

Does the Rise in Crime against Scheduled Tribes in States Like Chhattisgarh Contribute to the Growth of Maoist Activities?

Lead author · Corresponding
Saptarshi Mondal
Student at St. Xavier's University, Kolkata, W.B., India
Co-author
Sankha Brata Mitra
Student at St. Xavier's University, Kolkata, W.B., India
Abstract

The socio-political landscape of Chhattisgarh is complex, with the intersection of Scheduled Tribe (ST) welfare and Maoist activities at its core. This report delves by analyzing data collected over several years, uncovering the systemic challenges faced by ST communities, and highlighting the influence of Maoist activities on their well-being. The analysis is rooted in data sourced from Governor's Reports and NCRB records from 2016 to 2022. These reports, while official, have shown signs of inaccuracy, including identical figures for FIR cases and cases resolved across multiple years, and significant portions of content being repeated year after year. Despite these challenges, the data offers a crucial window into the ongoing struggles and emerging patterns within the region. This report aims to: • Provide a detailed description of the data and the sources from which it was collected. • Outline the methods used for data preparation. • Utilize statistical tools to analyze the data. • Present the findings through tables, graphs, and charts, accompanied by in-depth analysis and interpretation. • Conclude with key findings, implications for ST welfare and security, and policy recommendations to improve the protection and development of ST communities while addressing Maoist insurgency. This analysis not only seeks to inform but also to inspire action—by policymakers, researchers, and social activists—to address the underlying issues that perpetuate violence and deprivation in Chhattisgarh's tribal regions.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 7, Issue 2, Page 104 - 120
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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