Caste Census in India

Syllabus: Governance

Source:  DH

Context: The Cabinet Committee on Political Affairs (CCPA) has approved caste enumeration census as part of the upcoming Population Census, reversing its 2021 stance.

About the Caste Census in India:

• What is a Caste Census?
  • It is the systematic collection of data on caste identities of individuals during a national census.
  • It provides socio-demographic insights essential for affirmative action and social justice planning.
• Legal/Constitutional Backing:
  • No specific constitutional provision mandates caste census, but it is permitted under Article 340 for identifying backward classes.
  • As per Article 246 of the Constitution of India, Census is a union subject listed at 69 in the Union List in the Seventh Schedule.
• Historical Context & Origin:
  • First conducted in British India from 1881 to 1931.
  • Independent India (1951 onwards) excluded caste enumeration except for Scheduled Castes (SCs) and Scheduled Tribes (STs).
• Last Caste Census Held:
  • 1931 Census was the last full caste enumeration.
  • SECC 2011 attempted caste data collection but data remains unpublished.

Need for Caste Census in India:

• Data-Driven Affirmative Action: Accurate OBC population data is lacking; Mandal Commission estimated 52% OBCs, but no empirical backing.

E.g.: Bihar’s 2023 caste survey revealed OBC+EBC population at 63%.

• Reservation Rationalisation: Helps in quota restructuring and possible sub-categorisation within OBCs for equitable benefit distribution.
• Social Justice Planning: Enables targeted health, education, and livelihood schemes for marginalized caste groups.
• Women’s Political Reservation: Census data is needed for delimitation, which will operationalize women’s reservation in legislatures.
• Constitutional Mandate under Article 15(4): Allows state to make special provisions for backward classes – which needs clear identification.

Challenges to Conducting Caste Census:

• Enumeration Complexity: Multiple castes/sub-castes, overlapping categories (e.g., SC-OBC status) make classification difficult.
• Lack of Standardised Caste Lists: Centre and states have different OBC lists, making aggregation inconsistent.
• Political Manipulation: Caste data can fuel vote bank politics, leading to social polarization.
• Data Sensitivity & Accuracy: Self-declaration may result in false reporting or exaggeration, leading to flawed conclusions.
• Risk of Deepening Caste Identities: Critics argue it may perpetuate caste consciousness instead of reducing inequalities.

Way Ahead:

• Scientific Categorisation: Build consensus on standardised classification of castes and sub-castes.
• Transparent Methodology: Use digital tools and trained enumerators to improve accuracy and security of caste data.
• Safeguard Against Misuse: Ensure data privacy and restrict caste data usage to policy and welfare only.
• Post-Census Action Plan: Publish findings, consult stakeholders, and integrate caste data into policy design.
• Constitutional Validation: Any quota revision/sub-categorisation based on caste census must undergo judicial and parliamentary scrutiny.

Conclusion:

The caste census marks a major policy shift aimed at correcting historical data gaps. While it promises greater social justice, the success will depend on methodological integrity and non-political usage. If executed transparently, it can redefine India’s affirmative action roadmap for the next generation.

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