Telangana Caste Survey Reveals Deep Inequality Across Communities

Background of the Survey

• The SEEEPC Survey 2024 was conducted as a comprehensive socio-economic exercise by the Telangana government to understand the real conditions of different caste groups across multiple dimensions such as education, employment, income, and social status.
• Recognising the importance of objective analysis, the State constituted an Independent Expert Working Group under the leadership of Justice B. Sudershan Reddy.
• The mandate of this group was to verify, interpret, and analyse the collected data and present scientifically grounded findings.
• The rationale behind such a survey lies in the constitutional requirement that policies related to backward classes must be based on empirical evidence rather than assumptions.
• Therefore, this survey plays a crucial role in informing future policy decisions related to reservation, welfare schemes, and social justice.

Key Findings of the Survey

The survey presents a detailed picture of caste-based inequality in Telangana:

• Total number of castes identified → 242
• Castes above State average backwardness → 135
• Share of these castes in total population → 67%

The State average Comprehensive Backwardness Index (CBI) score has been calculated as 81, which acts as a benchmark to identify relative backwardness.

Category-wise Observations

• Scheduled Castes (SC) and Scheduled Tribes (ST) are found to be three times more backward than General Castes
• Backward Classes (BC) are 2.7 times more backward than General Castes

The survey also identifies major caste groups by population size:

• Madiga (SC)
• Shaik Muslim (BC)
• Mudiraj (BC)
• Lambadi (ST)
• Yadava (BC)
• Reddy (OC)
• Goud (BC)

A crucial conceptual finding of the report is that “every backward caste is not equally backward.” This highlights the presence of intra-category inequality, which has significant policy implications.

Comprehensive Backwardness Index (CBI)

The Comprehensive Backwardness Index (CBI) is a composite indicator used to measure the level of backwardness across different caste groups.

It is based on multiple parameters such as:

• Social status and historical disadvantage
• Educational attainment
• Economic conditions and income levels
• Employment patterns and occupational status

A higher CBI score indicates a higher degree of backwardness.

The use of such an index represents a shift from traditional classification systems towards a quantitative, data-driven approach, which allows policymakers to identify and target the most disadvantaged groups more accurately.

Constitutional Framework of Backward Classes

The Constitution of India provides enabling provisions for the advancement of backward classes, but deliberately avoids defining the term “backward classes.”

This is because backwardness is considered to be dynamic and context-specific.

Key constitutional provisions include:

• Article 15(4) → Allows the State to make special provisions for socially and educationally backward classes
• Article 16(4) → Permits reservation in public employment for backward classes not adequately represented
• Article 46 → Directs the State to promote the educational and economic interests of weaker sections

These provisions are based on the principle of substantive equality, which recognises that equal treatment may not lead to equal outcomes, and therefore corrective measures are necessary.

Article 340 and Backward Class Commissions

Article 340 provides the institutional mechanism for identifying backward classes. It empowers the President to appoint a commission to investigate the conditions of socially and educationally backward classes and recommend measures for their advancement.

Important Commissions

• Kaka Kalelkar Commission (1953) → First Backward Class Commission
• Mandal Commission (1979) → Used multi-dimensional criteria and recommended 27% reservation for OBCs

The Supreme Court, in the Indra Sawhney Case, upheld the validity of reservations and emphasised that backwardness must be determined using objective criteria.

In this context, the Telangana caste survey performs a similar role at the State level by providing a data-based foundation for identifying backward classes.

Concept of Backwardness in India

• Backwardness in India refers to a condition of social, educational, and economic disadvantage faced by certain groups.
• It is not defined explicitly in the Constitution, but has been interpreted through policies and judicial decisions.

Constitutional Basis

• Article 15(4) enables the State to make special provisions for socially and educationally backward classes.
• Article 16(4) allows reservation in public employment for backward classes not adequately represented.
• Article 46 directs the State to promote the educational and economic interests of weaker sections, especially SCs and STs.

Identification of Backward Classes

• Backwardness is primarily identified as social and educational backwardness, not purely economic.
• The Mandal Commission (1979) identified Other Backward Classes (OBCs) using social, educational, and economic indicators.
• The Indra Sawhney v. Union of India (1992) clarified that backwardness must be social and educational, and not solely economic.

Implications of the Survey

The findings of the survey have several important implications:

• They provide empirical support for targeted welfare policies
• They strengthen the case for sub-categorisation within backward classes
• They improve the accuracy of reservation policies
• They promote transparency and accountability in governance
• They help in identifying the most disadvantaged groups for focused intervention

Challenges and Concerns

Despite its importance, the survey also raises certain challenges:

• Caste-based data is politically sensitive and may lead to social tensions
• Implementing sub-categorisation can be administratively complex
• There is a risk of politicisation of data
• Ensuring accuracy and periodic updating of data remains a challenge

Way Forward

There is a need to use the survey findings for designing evidence-based and targeted policies.

Sub-categorisation within backward classes should be considered to ensure equitable distribution of benefits.

Institutional mechanisms must be strengthened to ensure transparent and effective implementation.

Periodic surveys should be conducted to update data and reflect changing socio-economic conditions.

Conclusion

The Telangana caste survey represents a significant step towards data-driven governance and social justice. By highlighting both inter-caste and intra-caste inequalities, it provides a more nuanced understanding of backwardness and lays the foundation for more effective and inclusive policy-making.