A test run for the second phase includes an open column for caste, but experts warn that without a standardized coding framework the data could become chaotic. Learning from past surveys is essential for 2027 to deliver reliable caste statistics.
मुख्य बिंदु (Key Takeaways)
- Open‑text fields without standard codes can generate millions of variant entries.
- Previous surveys show that a standardized list yields comparable and actionable data.
- An expert committee must define the national caste‑coding framework.
India’s government has introduced an “open column” for caste recording in the rehearsal of Census 2027’s second phase. While officials say the final methodology will be fixed after the pilot, past experience suggests that relying solely on free‑text responses without a uniform coding system can seriously undermine data reliability.
Lessons from Earlier Enumerations
The 2011 Socio‑Economic and Caste Census (SECC) employed an open column, resulting in over 4.6 million distinct caste entries. These variations stemmed from spelling differences, regional appellations, sub‑caste names, synonyms, and inconsistent reporting, rendering the dataset practically unusable for policy‑making.
Success Stories with Structured Coding
Historically, the 1931 Census recorded about 4,147 castes, while the Anthropological Survey of India identified roughly 6,325 castes in 1951. More recently, state‑level surveys have demonstrated that a standardized coding approach works. Bihar’s 2023 Caste Survey listed 214 castes (including 22 SCs, 32 STs, 30 BCs, 113 EBCs, and 7 upper castes) using official lists and unique codes. Telangana’s 2024 socio‑economic‑caste survey captured 242 castes with a similar coding regime, minimizing duplication and ensuring consistency.
Why an Expert Committee Is Crucial
As the Union government finalises the Census 2027 methodology, it must convene an independent expert panel to decide the authoritative source for caste coding. Options include state‑wise SC, ST and OBC lists; the central OBC list maintained by the National Commission for Backward Classes; the caste database of the Anthropological Survey of India; or a harmonised national master list that integrates these while respecting state‑specific nuances.
Practical Recommendations
The open column should be retained solely to capture genuine omissions, emerging caste names, or regional variations. Every enumerator must have access to a pre‑approved, coded list so that recognized castes are recorded uniformly, dramatically reducing redundancy. If implemented correctly, Census 2027 could become the first comprehensive post‑independence caste enumeration, delivering data essential for measuring deprivation, inequality, and targeted policy interventions.