Structural unemployment occurs when there is a fundamental mismatch between the skills possessed by the job-seeking workforce and the specific talent requirements demanded by the evolving market economy. International Labour Organization (ILO) surveys indicate that over 50% of formal enterprises in India report difficulty in hiring qualified personnel due to skill deficits, confirming the structural character of domestic unemployment.

Reasons Behind Structural Unemployment in India

• Agrarian Disguised Unemployment: Nearly 45% of the national workforce remains engaged in agriculture with near-zero marginal productivity, lacking non-farm technical skills to transition into manufacturing.
• Technological Transitions & Industry 4.0: Rapid automation, AI, robotics, and cloud computing require specialized analytical skillsets that traditional tertiary curricula do not provide.
• Weak Industry-Academia Linkages: Academic degrees focus heavily on rote theoretical learning without mandatory apprenticeships or practical vocational alignment.
• Geographical Clustering of Employment: Over 75% of formal non-agricultural job creation concentrates in Tier-I urban centers, while the majority of working-age youth reside in rural and peri-urban districts.

Methodology Adopted to Compute Unemployment in India

The National Statistical Office (NSO) under MoSPI measures employment and unemployment through the Periodic Labour Force Survey (PLFS) using three standardized activity criteria:

• Usual Principal and Subsidiary Status (UPSS): Measures long-term or chronic unemployment, evaluating individuals who remained out of work and seeking employment for the major part (183 days or more) of the reference year.
• Current Weekly Status (CWS): Captures short-term fluctuations, categorizing a person as employed if they worked for at least one hour on any single day during the 7-day survey reference period.
• Current Daily Status (CDS): Evaluates employment on a daily basis (in half-day units of 4 hours), capturing underemployment and person-days of joblessness.
• Enterprise Surveys: The Labour Bureau conducts the All-India Quarterly Establishment-based Employment Survey (AQEES), tracking formal job trends in nine organized non-farm sectors.

Limitations of the Existing Methodology

• The Strict “One-Hour” CWS Criteria: Categorizing an individual as employed for working merely one hour a week masks severe underemployment and low-wage distress.
• Under-Representation of the Informal and Gig Economy: The volatile, platform-based, and non-contractual gig workforce is not adequately captured under traditional establishment surveys.
• Long Reporting Lags in Annual Datasets: Publication intervals delay timely policymaking compared to high-frequency monthly indicators used in developed economies.

Suggested Improvements

• Develop a Real-Time Labour Market Information System (LMIS): Integrate payroll data (EPFO/ESIC), GST transactional returns, and the e-Shram database to generate real-time monthly employment indexes.
• Incorporate Underemployment and Earnings Metrics: Supplement the headline unemployment rate with metrics tracking income inadequacy, skill-job mismatch, and hours worked.
• Scale Up Industry-Aligned Apprenticeships: Align vocational training with industry standards under the National Apprenticeship Promotion Scheme (NAPS) to bridge the skill deficit.

Modernizing unemployment data collection is essential to capture the nuances of underemployment, guiding structural skilling policies to utilize India’s demographic dividend.