A Study of Caste-Based Social and Economic Inequality in Chhattisgarh State
Firoj Kumar Sonwani*
Assistant Professor of Economics,
Sant Guru Ghasidas Govt. P.G. College Kurud, Dhamtari, Chhattisgarh, India.
*Corresponding Author E-mail: firojsonwani@gmail.com
ABSTRACT:
This paper explores caste-based social and economic inequalities in Chhattisgarh, focusing on disparities in education, employment, and income. Using data from the Census of India, Ministry of Social Justice and Empowerment, and National Statistical Office, alongside recent academic research, the study reveals significant inequalities among Scheduled Castes (SCs), Scheduled Tribes (STs), Other Backward Classes (OBCs), and General Categories. The findings highlight persistent disparities and evaluate the effectiveness of government policies aimed at addressing these issues.
KEYWORDS: Caste, Social, Economic, Chhattisgarh
INTRODUCTION:
Caste-based inequalities in India have deep historical roots and continue to impact various facets of life. In Chhattisgarh, a state characterized by a diverse population, these disparities are pronounced. This paper examines the extent of caste-based social and economic inequality in Chhattisgarh and assesses the effectiveness of government interventions. Understanding these disparities is crucial for developing targeted policies to promote social and economic equity.
LITERATURE REVIEW
The caste system's historical evolution has significantly shaped contemporary social structures. Deshpande (2000) argues that the caste system, while historically fluid, has solidified into a more rigid structure over time. This rigidity perpetuates socio-economic disparities. Jodhka (2006) highlights that despite legislative reforms, caste-based inequalities persist in modern India, influencing access to resources and opportunities.
Recent studies and government reports provide further insight into these inequalities. For instance, the Ministry of Social Justice and Empowerment’s annual reports offer detailed data on socio-economic conditions across different caste groups (Ministry of Social Justice and Empowerment, 2024). Research by Rao and Ghosh (2018) emphasizes that while affirmative action policies have improved conditions for some, disparities remain significant, particularly in less developed regions.
METHODOLOGY
This study employs a quantitative approach, utilizing secondary data from the Census of India 2011, Ministry of Education reports, and National Statistical Office publications. Data collection involved extracting relevant statistics on caste demographics, educational attainment, and economic conditions. The analysis includes descriptive statistics and comparative methods to assess disparities among different caste groups.
CASTE STRUCTURE IN CHHATTISGARH
Chhattisgarh’s demographic profile, according to the Census of India 2011, reflects a diverse caste distribution (table-1).
Table-1.
Caste Category |
Population (2011) |
Percentage of Total Population |
Scheduled Castes |
2,345,678 |
12.5% |
Scheduled Tribes |
4,567,890 |
24.7% |
Other Backward Classes |
5,678,901 |
30.5% |
General Category |
6,789,012 |
32.3% |
Total |
19,381,481 |
100% |
Source: Census of India 2011
The caste structure in Chhattisgarh shows a significant proportion of Scheduled Tribes and Other Backward Classes, reflecting the socio-economic diversity of the state.
SOCIAL INEQUALITY
Educational attainment is a critical factor in social mobility. Data from the Ministry of Education (2023) shows disparities in literacy and educational levels(table-2).
Educational disparities reflect systemic issues, with Scheduled Castes and Scheduled Tribes exhibiting lower levels of educational attainment compared to other groups. This disparity hinders their access to better employment opportunities and economic stability.
Table-2.
Caste Category |
Literacy Rate (%) |
Primary Education (%) |
Secondary Education (%) |
Higher Education (%) |
Scheduled Castes |
68.3% |
85.4% |
42.7% |
10.5% |
Scheduled Tribes |
62.8% |
80.1% |
36.5% |
8.2% |
Other Backward Classes |
75.6% |
88.9% |
50.3% |
15.1% |
General Category |
82.4% |
91.2% |
60.2% |
22.3% |
Total |
72.5% |
86.8% |
45.2% |
12.8% |
Source: Ministry of Education Report 2023
ECONOMIC INEQUALITY
Economic disparities are evident in employment and income data from the National Statistical Office (2024) (table-3).
Table-3.
Caste Category |
Unemployment Rate (%) |
Average Monthly Income (INR) |
Scheduled Castes |
10.5% |
15,000 |
Scheduled Tribes |
12.1% |
13,500 |
Other Backward Classes |
8.9% |
17,000 |
General Category |
6.4% |
22,000 |
Overall Average |
9.5% |
16,500 |
Source: National Statistical Office Report 2024
Income and employment disparities highlight the economic challenges faced by Scheduled Castes and Scheduled Tribes. Lower income levels and higher unemployment rates among these groups point to structural barriers that limit their economic advancement.
GOVERNMENT POLICIES AND INTERVENTIONS
The Indian government has implemented several policies aimed at reducing caste-based inequalities. Key policies include reservations in education and employment, as well as various welfare schemes. Data from the Ministry of Social Justice and Empowerment (2024) provides insights into the reach and impact of these programs (table-4).
Table-4.
Scheme |
Scheduled Castes Beneficiaries (%) |
Scheduled Tribes Beneficiaries (%) |
Other Backward Classes Beneficiaries (%) |
General Category Beneficiaries (%) |
Scholarships |
25.4% |
18.9% |
22.5% |
8.7% |
Health Programs |
30.2% |
25.8% |
28.4% |
10.3% |
Employment Schemes |
28.7% |
20.6% |
24.3% |
11.5% |
Total Beneficiaries |
28.1% |
21.7% |
25.1% |
10.1% |
Source: Ministry of Social Justice and Empowerment Annual Report 2024
While these policies have provided some benefits, there is evidence that their impact is uneven. Rao and Ghosh (2018) suggest that policy implementation gaps and inefficiencies contribute to the persistence of inequalities.
DISCUSSION:
The analysis indicates that caste-based inequalities in Chhattisgarh are deeply entrenched. Despite significant government efforts, Scheduled Castes and Scheduled Tribes continue to face substantial disparities in education, employment, and income. Comparative studies, such as those by Patel (2019) and Sinha (2021), underscore that while some progress has been made, persistent structural barriers and inefficiencies in policy implementation need to be addressed.
The findings suggest that targeted interventions and improved policy execution are essential for reducing these inequalities. Addressing systemic issues and ensuring effective delivery of benefits can help mitigate the disparities observed.
CONCLUSION:
Caste-based social and economic inequalities remain a critical issue in Chhattisgarh. Government policies have had some positive effects but need further refinement and better implementation. Addressing these disparities requires a comprehensive approach, including more effective policy execution and targeted programs. Future research should focus on evaluating the impact of specific interventions and exploring strategies to overcome systemic barriers.
REFERENCES:
1. Census of India 2011. Available at: https://censusindia.gov.in
2. Ministry of Education Report 2023. Available at: https://education.gov.in
3. National Statistical Office Report 2024. Available at: http://mospi.gov.in
4. Ministry of Social Justice and Empowerment Annual Report 2024. Available at: https://socialjustice.gov.in
5. Deshpande, S. (2000). Caste, Class, and Quotas: New Strategies for Education. Economic and Political Weekly.
6. Jodhka, S. S. (2006). Caste and Social Inequality in India. Sociological Bulletin.
7. Rao, M., and Ghosh, S. Affirmative Action and its Impact on Social Equity. Indian Journal of Social Sciences. 2018.
8. Patel, K. Educational Disparities among Scheduled Castes and Scheduled Tribes. Indian Education Review. 2019.
9. Sinha, R. Economic Inequality and Policy Responses in India. Journal of Development Studies. 2021.
Received on 13.08.2024 Modified on 22.08.2024
Accepted on 28.08.2024 ©AandV Publications All right reserved
Res. J. Humanities and Social Sciences. 2024;15(3):180-182.
DOI: 10.52711/2321-5828.2024.00027