Explain the methods of measuring unemployment in India.

Dantwala Committee Methods

The 1968 committee’s four approaches, usual status, current weekly/daily status, labour time disposition, capture long-term and seasonal employment variations, providing nuanced labour utilisation insights.

Labour Bureau and Administrative Data

Labour Bureau’s sectoral reports and efforts to integrate administrative records, including searchable RTI databases in Maharashtra, enhance data transparency, benefiting Andhra Pradesh’s welfare-scheme DBT template. This integration aids timely tracking of employment shifts in industrial corridors like Visakhapatnam.

Underemployment and Variability

High informal sector prevalence obscures unemployment; estimates vary from 2.2% (usual status) to over 7% (current daily status), reflecting definitional and reference period differences.

Social Patterns

Unemployment duration and job-finding rates1 show caste, age, gender, and education gaps2, with youth and women disadvantaged, seen in urban Andhra Pradesh. These disparities affect labour market inclusion and economic equity.

Economic Shocks

COVID-19 and slowdowns increased unemployment, stressing the need for granular data, especially in drought-hit Rayalaseema, to enable responsive policy measures.

Enhanced Surveys and Data Integration

Increasing survey frequency and linking employment data with administrative records can improve accuracy and reduce reliance on self-reporting, enabling better policy targeting.

Technology and E-Governance

Leveraging digital infrastructure and improving India’s UN E-Government ranking (97th in 2024) can aid real-time employment monitoring in states like Andhra Pradesh, facilitating data-driven governance.