Tamil Nadu Assembly unanimously adopts resolution urging Centre to do away with ‘Open-Column Method’ while enumerating BCs, MBCs, and DNCs
In the ambiguous ‘Open-Column Method’, respondents can self-declare their caste, which the enumerator will record, as opposed to choosing one from a pre-defined list
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Context
The Tamil Nadu Legislative Assembly unanimously passed a resolution urging the Union government to discard the 'Open-Column Method' for enumerating Backward Classes (BCs), Most Backward Classes (MBCs), and Denotified Communities (DNCs) in the upcoming Census. Instead, the state requests pre-loading the Census portal with official Central and State lists of these communities to ensure accurate data collection, mirroring the process used for Scheduled Castes (SCs) and Scheduled Tribes (STs). This resolution highlights ongoing debates regarding caste enumeration and data accuracy in India's demographic exercises.
UPSC Perspectives
Polity
This resolution touches upon the crucial intersection of Federalism and the Census, which falls under the (Entry 69) of the of the Indian Constitution, governed by the . While the Centre conducts the census, states heavily rely on demographic data for formulating affirmative action policies and welfare schemes, particularly concerning reservations under and . Tamil Nadu's demand reflects a state's assertion for accurate data critical for its specific socio-political context, given its complex history of reservation politics and the existence of specific categories like MBCs and DNCs. For UPSC, it is vital to understand the constitutional distribution of powers regarding population data and the ongoing tension between centralized data collection methodologies and state-specific requirements for targeted governance. Questions could focus on the constitutional provisions related to the census and the role of accurate demographic data in fulfilling the mandate of social justice.
Social
The core of the issue lies in the methodology of Caste Enumeration. The traditional 'Open-Column Method', where individuals self-declare their caste, can lead to massive discrepancies due to synonyms, spelling variations, and phonetic similarities of caste names, making data aggregation and analysis difficult. By advocating for a pre-loaded list of BCs, MBCs, and DNCs based on notifications by the and respective state governments, Tamil Nadu seeks to standardize the data collection, similar to the established practice for SCs and STs under and . This debate is intrinsically linked to the larger demand for a comprehensive Socio-Economic Caste Census (SECC), as accurate data on Other Backward Classes (OBCs) has not been collected in the decadal census since 1931. UPSC aspirants should analyze the socio-political implications of caste data, the challenges in categorizing complex social stratifications, and the necessity of robust empirical data for designing effective equitable policies and addressing issues of marginalization.
Governance
From a governance perspective, this highlights the necessity of Evidence-Based Policymaking. Accurate and granular demographic data is the bedrock for the targeted delivery of public services and welfare schemes. The absence of reliable data on the precise population of various backward classes hampers the state's ability to assess the impact of existing reservation policies and to implement necessary course corrections, such as sub-categorization within quotas (a concept currently debated nationally regarding SCs following recent Supreme Court judgments). The resolution emphasizes the need for synergy between Central data collection mechanisms and the operational realities of State welfare administration. Furthermore, the push for pre-loading data into digital portals reflects a move towards Digital Governance in census exercises, aiming to reduce human error during enumeration and improve data processing efficiency. Candidates should be prepared to discuss how methodological flaws in data collection can lead to policy failure and the importance of adapting administrative processes to ensure the reliable targeting of beneficiaries.