Disability Statistics in India: Concepts, Measurement, Prevalence and Data Sources

Disability statistics require careful definitions because disability can be measured through different conceptual and operational frameworks. For ISS preparation, focus on functional measurement, prevalence, population coverage, disaggregation and source comparability.

1. Why definitions matter

Disability statistics depend on the definition and measurement framework used. A count based on certified status may differ from one based on reported functional difficulty.

2. Prevalence

Prevalence expresses the number of persons identified under the chosen definition relative to the relevant population. The numerator and denominator must always be stated.

3. Functional domains

Questions may cover seeing, hearing, mobility, cognition, communication or self-care, depending on the framework. Wording and response categories affect measurement.

4. Disaggregation

Statistics may be broken down by age, sex, residence, education, employment or other characteristics. Small subgroup sizes can create sampling and precision issues.

5. Data sources

Censuses, surveys and administrative records can all contribute. Their concepts and coverage may differ, so estimates should not be combined without checking comparability.

6. Quality considerations

Sensitive reporting, proxy responses, question design, non-response and classification changes can affect estimates. Metadata are essential for interpretation.

Three important questions on this topic

Try each one on your own first, then tap the answer.

Key takeaways

• Definitions and statistical units determine what an official statistic actually measures.
• Coverage, reference period and denominator are essential for meaningful comparison.
• Administrative records, surveys and census-type operations have different strengths and limitations.
• Always separate a statistical observation from an explanation or causal interpretation.