·The Hindu·15 marks·250–350 words

Caste data without a classification protocol is of limited policy value. Discuss with reference to the SECC 2011.

In this answer
  1. SECC 2011: collection succeeded, classification failed
  2. Why unclassified data has limited policy value
  3. The risk of repetition in Census 2027

Caste enumeration yields only raw returns — names entered in a column. It becomes policy-grade data only after a classification protocol merges those returns into identifiable communities. The SECC 2011 demonstrates that an exercise which completes collection but skips classification remains administratively sterile.

SECC 2011: collection succeeded, classification failed

  • Its open field threw up about 46 lakh caste, sub-caste, synonym, surname and clan/gotra names — variants of the same communities in different spellings and languages [1].
  • The Union Cabinet accordingly approved an Expert Group under Arvind Panagariya (NITI Aayog), serviced by the Ministry of Social Justice and Empowerment, solely to classify these returns [1].
  • Non-caste SECC data was finalised and published in 2016; the caste data never was [1].

Why unclassified data has limited policy value

  • No denominator: until variants are grouped, no community's population is known, so no caste-wise table exists to inform policy.
  • Sub-categorisation stalls: the Rohini Commission (constituted under Article 340 in 2017) was mandated to examine inequitable distribution of OBC quota benefits and devise scientific criteria for sub-categorisation — work resting on caste-wise counts [2].
  • Weaker legal footing: classification under Articles 15(4) and 16(4) demands quantifiable backwardness data; proxies invite judicial challenge.
  • No national comparability: Bihar's and Telangana's pick-list surveys were built on state-specific lists [3].

The risk of repetition in Census 2027

  • Caste is being captured electronically in the second phase (population enumeration), within the main Census rather than a separate survey, precisely to ensure uniformity [4].
  • Yet an open column is again notified for non-SC/ST respondents, while officials concede that sorting and tabulation methods remain undecided [3].

The open column protects unlisted communities from being erased at the point of counting; the flaw lies in deferring the grouping decision. The Registrar General should therefore notify classification rules before enumeration, publish the Panagariya group's method, and use state OBC lists as a coding aid. Data gathered transparently and classified by a published, contestable rule can finally convert counting into equitable social justice.

Sources

  1. 1Cabinet approves setting up of an expert group to classify the Caste/Tribe data of the SECC, 2011 — PIB46 lakh caste/sub-caste/surname/gotra returns; Panagariya Expert Group; caste data not finalised while other SECC data was published in 2016
  2. 2Commission for Sub-Categorisation of OBCs — PIBRohini Commission under Article 340 (2017) and its terms of reference on inequitable distribution of OBC reservation benefits
  3. 3Govt. yet to decide how open-field caste data will be sorted, tabulated — The Hindu, 26 September 2026open column for non-SC/ST respondents; tabulation method undecided; Bihar and Telangana pick-list surveys
  4. 4Cabinet approves Caste enumeration in the upcoming Census — PIBcaste counted within the main Census, captured electronically in the second phase

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