Context:

• Self-enumeration for Census 2027 began on August 17 in snow-bound areas of Jammu and Kashmir, Ladakh, Himachal Pradesh and Uttarakhand, ahead of the wider population enumeration.
• The exercise is significant because Census data forms the foundation for public policy, welfare allocation and evidence-based governance.
• However, concerns have been raised over the disability question in the forthcoming Census.
• Despite improvements in the revised questionnaire, limited categorisation of disabilities could lead to substantial undercounting and misclassification, weakening the evidence base for disability-related policies. 

Disability Question - An Apparent Improvement:

• The Census questionnaire contains 40 questions, with Question 13 dealing with disability.
• It first asks whether a person has a disability and, if yes, permits selection of up to three categories from nine options.
• These are seeing, hearing, speech, mobility, intellectual disability, mental illness, acid attack, chronic neurological disease, and blood disorder.
• The inclusion of blood disorder and replacement of the outdated term “mental retardation” with intellectual disability are welcome changes.
• However, the improvement is limited because the classification does not adequately reflect the broader legal framework governing disability in India.

The Gap with the Rights of Persons with Disabilities (RPwD) Act, 2016:

• The RPwD Act, 2016 expanded recognised disabilities from 7 to 21 categories.
• These include autism spectrum disorder, specific learning disabilities, cerebral palsy, dwarfism, muscular dystrophy, thalassemia, haemophilia and sickle cell disease, among others.
• Yet several of these conditions do not appear separately in the Census questionnaire.

Why This Matters?

• The absence of distinct categories can produce misclassification and undercounting.
• For instance, autism may be recorded as intellectual disability because assessment boards or enumerators lack the capacity to distinguish the two.
• Reproducing such broad categorisation at the national level could distort the actual prevalence of particular disabilities and affect the delivery of appropriate services.
• The Census has also removed two useful provisions present in the 2011 exercise: “Any other disability”, and “Multiple disability”.
• Although respondents can select up to three disabilities in the new questionnaire, it remains unclear how multiple disabilities will ultimately be recorded and whether this could lead to duplication or distorted estimates.
• The 2011 Census explicitly provided for multiple disabilities and an “any other” category to improve coverage.

Flawed Classification:

• The new classification is also conceptually inconsistent. Acid attack is listed as an independent category, although under the RPwD framework it falls within the broader domain of locomotor disability.
• Placing a specific condition alongside broad categories such as mobility raises questions about the principles used to construct the classification.
• A Census questionnaire should ideally follow a consistent, legally aligned and mutually coherent taxonomy.

Why UDID and NSS Cannot Fill the Gap:

• It may be argued that the Unique Disability ID (UDID) database can compensate for gaps in Census data.
• However, UDID registration does not cover the entire disabled population and depends on access to certification procedures, healthcare facilities and transportation—conditions often absent in remote areas.
• Similarly, National Sample Survey (NSS) exercises can provide prevalence estimates but cannot substitute for a complete population count.
• Thus, neither database can adequately replace Census-based disaggregated data.

The Biggest Challenge - Remote and Inaccessible Regions:

• The concern is particularly acute in the very regions where enumeration is difficult.
• Enumerators may lack adequate guidance on -
  • What constitutes a chronic neurological condition;
  • How to sensitively ask about mental illness;
  • How to identify intellectual disability without clinical training; and
  • How to distinguish overlapping disabilities.
• In remote and snow-bound areas, specialist healthcare and formal diagnostic infrastructure are often scarce.
• Consequently, the Census risks becoming “backward among the backwards”—producing the weakest disability data precisely in areas where reliable information is most difficult to obtain.

Data Determines Policy:

• Disaggregated disability data is essential for determining budgetary allocations, healthcare infrastructure, educational interventions, social security and district-level welfare programmes.
• The problem becomes particularly evident with the broad category of blood disorders.
• Thalassemia, haemophilia and sickle cell disease have very different treatment requirements -
  • Thalassemia → regular transfusion and iron chelation;
  • Haemophilia → factor concentrates and appropriate storage/cold-chain facilities;
  • Sickle cell disease → medicines such as hydroxyurea and crisis-management protocols.
• Combining these conditions into a single Census category prevents policymakers from determining their individual burden and evaluating disease-specific programmes.
• It also limits understanding of hereditary and carrier burdens, which is important for prevention and early intervention.
• Similarly, the complete absence of specific learning disabilities can undermine education planning, despite the importance of early diagnosis, remediation and geographically targeted interventions.

Way Forward:

• The disability question should be aligned with the RPwD Act, 2016 and India's broader commitment to inclusive development.
• Three immediate reforms are important -
  • Expand or restructure categories to reflect the 21 recognised disabilities under the RPwD Act.
  • At minimum, restore a structured “Other—Please Specify” provision and the multiple-disability category.
  • Provide comprehensive enumerator training and standardised guidance for identifying and recording disabilities sensitively and accurately.

Conclusion:

• The Census is conducted only once in a decade. If disability categories are inadequately designed, the resulting errors can influence budgets, welfare programmes, healthcare planning and educational interventions for years.
• The objective should not merely be to count persons with disabilities, but to count them accurately, identify their diverse needs and make them visible in public policy.