Q11 · UPSC Civil Services Mains 2023 · GS III · 15 marks · 3 min read

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Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements.

Topic: Indian Economy. Syllabus: Indian Economy and issues relating to planning, mobilization of resources, growth, development and employment. Same official PYQ from year-wise 2023 and Indian Economy.

Revision summary

India’s unemployment is mostly structural: too many workers in low-productivity farm work, skills that do not match vacancies, and weak manufacturing absorption. PLFS usual status uses a 365-day reference and gives the lowest unemployment rate. Current Weekly Status uses seven days and is the main internationally comparable headline. Current Daily Status counts person-days and shows underemployment. Improvements are hours, gig codes, women’s time-use, district samples, and a vacancy module beside the household survey.

Model answer

Copper italics in this answer — like this — are the key facts. Each one is unpacked in the Facts & figures rail.

Introduction

India’s job problem is not mainly a short recession. It is a mismatch between what people can do, where they live, and what the economy hires. That is structural unemployment. The Periodic Labour Force Survey (PLFS) tries to count it with three clocks: a year, a week, and a day. The clock you choose changes the rate.

Body

Why most unemployment is structural

  • Agriculture still holds a large workforce while its share of output is much smaller; people are not idle every day, but they are not in productive non-farm jobs.
  • Education and skills do not match factory, logistics, and care vacancies; graduates wait while machine operators are scarce.
  • Manufacturing has not absorbed labour at East Asian speed; services hire the English-and-urban slice first.
  • Gender, caste, and region lock many into local, unpaid, or casual work; a vacancy in another State is not a real option without housing and safety.
  • Cyclical slumps add a layer. They do not explain why the same mismatch returns in a boom. Disguised unemployment in the family farm is the rural face of the same structure.

Methodology in India

  • After the old National Sample Survey employment rounds, PLFS (National Statistical Office) is the regular household survey.
  • Usual status (principal + subsidiary): a person is a worker if they worked for a major part of the last 365 days, or had a subsidiary economic activity of at least 30 days. The unemployment rate on this basis is the lowest, because a few months of work in the year count.
  • Current Weekly Status (CWS): activity in the last 7 days. A person who worked at least one hour in that week is employed. This sits between usual status and daily status and is now the headline international-style rate in PLFS annual and quarterly urban releases.
  • Current Daily Status (CDS): person-days in the week; unemployment is counted in half-days. This rate is the highest because underemployment (a worker idle three days) shows up.
  • Labour force is those employed plus those seeking or available. Not in labour force (studies, unpaid domestic work) is not unemployment. That distinction matters for women.

Suggested improvements

  • Publish underemployment and hours as prominently as the unemployment rate; CDS-type person-days should not stay a specialist footnote.
  • Count gig, platform, and unpaid family work with clearer codes so informality is not hidden as self-employment.
  • Raise frequency and sample for backward districts; urban quarterly PLFS is not enough for rural structure.
  • Add a job-vacancy and skill-mismatch module (what employers cannot fill) beside household status.
  • Align a time-use slice with PLFS so women’s unpaid work is not read as voluntary withdrawal.
  • Use administrative traces (EPFO, e-SHRAM, GST payroll) as complements, not as a replacement for a household survey that still sees the informal majority.

Flow diagram

Flow diagram

Conclusion

  • Most Indian unemployment is structural: farm surplus, skill mismatch, and a thin factory layer. PLFS usual status understates it; CWS is the weekly headline; CDS shows person-day slack. Measurement will improve when hours, gig work, women’s time-use, and vacancy data sit beside the single rate.

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