Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements.
Approach · directive: “examine / suggest”
What it asks · Explain why joblessness in India is largely structural, then examine how unemployment is measured (the PLFS) and suggest improvements.
The question has 3 parts — answer each
- Explain why most unemployment in India is structural in nature
- Examine the methodology used to compute unemployment (the PLFS): concepts, reference periods, coverage and limits
- Suggest improvements to the methodology
Open with · Structural unemployment arises when workers' skills and locations do not match the jobs the economy creates.
Cover
- Why structural: a large workforce in low-productivity farming, too few factory jobs, a skills mismatch and widespread informality.
- Method: the NSO's Periodic Labour Force Survey estimates unemployment through household surveys, using usual status (a one-year reference) and current weekly status (a week).
- Concepts: a person is unemployed if seeking or available for work but not working; the rate is the share of the unemployed in the labour force.
- Headline: PLFS 2021-22 put the usual-status unemployment rate for persons aged 15 and above at 4.1% (rural 3.2%, urban 6.3%).
- Limits: the headline rate looks low because subsistence self-employment and unpaid family work count as employment; underemployment, disguised unemployment and job quality stay hidden.
- Gaps: women's work is under-captured, rural estimates are less frequent, and results below state level are thin.
- Improvements: measure underemployment, wages and job quality; count unpaid care work; give monthly or quarterly rural estimates; link administrative data (EPFO, e-Shram); publish skill-wise and district-level results.
Close with · Measuring job quality and skills, not only headcount, would let policy target structural unemployment.
Add value (verified)
- PLFS Annual Report 2021-22 (MoSPI press note, February 2023), Statement 1, usual status (ps+ss), persons aged 15 and above: unemployment rate 4.1% all-India (rural 3.2%, urban 6.3%; male 4.4%, female 3.3%). MoSPI: Press note on Periodic Labour Force Survey (PLFS) Annual Report, July 2021 - June 2022 (Statement 1: LFPR, WPR and UR in usual status for persons aged 15 years and above; columns rural, urban, rural+urban) ↗“PLFS 2021-22 LFPR 78.2 36.6 57.5 74.7 23.8 49.7 77.2 32.8 55.2 WPR 75.3 35.8 55.6 70.4 21.9 46.6 73.8 31.7 52.9 UR 3.8 2.1 3.2 5.8 7.9 6.3 4.4 3.3 4.1”
Question: UPSC's CS (Main) 2023, GS Paper III — paper ↗. Approach: Minimalist IAS, checked 1 Oct 2026 (how we verify) — UPSC publishes no model answers. ·
Model answer · 308 words (UPSC limit 250) · Minimalist IAS
Structural unemployment arises when workers' skills and locations do not match the jobs the economy creates; it is a mismatch, not a passing downturn.
Why India's unemployment is structural
- A large workforce remains in low-productivity farming while factory jobs grow too slowly to absorb those who leave it.
- Skills mismatch: what schools and colleges teach diverges from what employers need, leaving educated youth waiting for suitable work.
- Informality: most workers are self-employed or casual, so joblessness surfaces as underemployment rather than open unemployment.
How unemployment is measured
- The National Statistical Office's Periodic Labour Force Survey (PLFS) estimates it through household surveys: quarterly for urban areas and annually for rural and urban areas together.
- Definitions: a person is unemployed if seeking or available for work but not working; the unemployment rate is the unemployed as a share of the labour force.
- Reference periods: usual status looks at the preceding year (principal plus subsidiary activity); current weekly status looks at the preceding seven days.
- Result: PLFS 2021-22 put the usual-status unemployment rate for persons aged 15 and above at 4.1%, a low figure for a labour-surplus economy.
Limits of the method
- Subsistence self-employment and unpaid family work count as employment, so underemployment, disguised unemployment and poor job quality stay hidden behind the headline.
- Women's work is under-captured, rural estimates come only yearly, and results below the state level are thin.
Improvements
- Measure underemployment, hours worked, wages and job quality alongside the headcount.
- Count unpaid care work and probe more carefully for women's economic activity.
- Publish monthly or quarterly rural estimates and district-level results.
- Link administrative data such as EPFO and e-Shram with survey estimates.
- Report unemployment by skill and education level to guide skilling policy.
Measuring the quality of work and the skills gap, not only the headcount of the jobless, would let policy target the structural roots of unemployment.
Written by Minimalist IAS from facts checked at source (how we verify) — a little fuller than exam length, so every part of the question is covered; in the hall, keep the structure and trim the detail. UPSC publishes no model answers: compare your structure and coverage with this, then write your own.