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.
It asks 3 things — 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 is joblessness born of a mismatch between the skills, location or sector of workers and the jobs the economy creates; India must add about 78.5 lakh non-farm jobs a year till 2030 (Economic Survey 2023-24) just to absorb its rising workforce.
Cover
- Why structural: 45.8% of workers still in agriculture (2023), much of it disguised; too few factory jobs; only 4.4% of youth formally skilled while youth unemployment is 10% (PLFS 2022-23).
- Informality: 57.3% self-employed and 18.3% unpaid helpers in household enterprises (2022-23), so people stay 'employed' without a wage.
- Method: the NSO's Periodic Labour Force Survey (since 2017-18) estimates unemployment through household surveys using usual status (365-day reference) and current weekly status (7 days).
- Concepts: a person seeking or available for work but not working is unemployed; the rate is the unemployed share of the labour force.
- Headline: PLFS 2021-22 usual-status unemployment rate 4.1% (rural 3.2%, urban 6.3%) for persons aged 15 and above.
- Limits: subsistence self-employment and unpaid family work count as employment, hiding underemployment and job quality; women's work under-captured; no monthly or rural quarterly series; thin district data.
- Improvements: ILO's 19th ICLS LU1–LU4 measures of labour underutilisation; wages, hours and skill match; unpaid care work; monthly and rural quarterly estimates (revamped PLFS, 2025); district-level results; EPFO and e-Shram data.
Close with · Counting jobs by their quality, not just their number, lets policy target the structural roots of unemployment and turn the demographic dividend into SDG 8: full and productive employment and decent work for all.
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”
- Economic Survey 2023-24 (Chapter 8): India needs about 78.5 lakh non-farm jobs a year until 2030; the share of agriculture in the workforce is assumed to fall from 45.8% in 2023 to one-fourth by 2047.Economic Survey 2023-24, Chapter 8: Employment and Skill Development: Towards Quality ↗“Indian economy needs to generate an average of nearly 78.5 lakh jobs annually until 2030 in the non-farm sector to cater to the rising workforce”
- Economic Survey 2023-24 (para 8.7, PLFS 2022-23): 57.3% of the workforce is self-employed and 18.3% are unpaid workers in household enterprises; casual labour 21.8%, regular wage/salaried 20.9%.Economic Survey 2023-24, Chapter 8, para 8.7 ↗“In terms of employment status of workers, 57.3 per cent of the total workforce is self- employed, and 18.3 per cent is working as unpaid workers in household enterprises. Casual labour comprises 21.8 per cent of the total workforce and regular wage/salaried workers are 20.9 per cent of the total”
- PLFS revamp from January 2025 (MoSPI): key labour force indicators released monthly at the all-India level, and quarterly results extended to rural areas, so quarterly estimates now cover both rural and urban India.MoSPI press note: Changes in the sample design of the Periodic Labour Force Survey (PLFS) from 2025 ↗“Key labour force indicators from PLFS at the all-India level will now be released on monthly basis and the PLFS quarterly results will now be brought out for rural, urban and rural and urban areas combined.”
- ILO, 19th International Conference of Labour Statisticians (2013) resolution: countries should routinely report headline indicators of labour underutilisation LU1 to LU4 (LU1 is the unemployment rate; LU2 adds time-related underemployment; LU3 the potential labour force; LU4 both).ILO: Resolution concerning statistics of work, employment and labour underutilization, 19th ICLS (October 2013), para 93 ↗“For international reporting, countries should routinely report statistics of work and the labour force, in particular headline indicators of labour underutilization (from among LU1, LU2, LU3 and LU4) for the population as a whole, by sex, by urban/rural areas”
Question: UPSC's CS (Main) 2023, GS Paper III — paper ↗. Approach: Minimalist IAS, checked 3 Oct 2026 (how we verify) — UPSC publishes no model answers. ·
Model answer· 373words · Minimalist IAS
Structural unemployment is joblessness born of a mismatch: the skills, location or sector of workers do not fit the jobs the economy creates. It is no passing downturn: India must add about 78.5 lakh non-farm jobs a year till 2030 (Economic Survey 2023-24) just to absorb its rising workforce.
Why most unemployment in India is structural
- Farm overcrowding: 45.8% of workers were still in agriculture in 2023 (Economic Survey 2023-24), much of it disguised unemployment.
- Missing middle: too few factory jobs for workers leaving farms, as growth has come from capital- and skill-intensive services.
- Skill mismatch: only 4.4% of youth aged 15–29 had formal vocational training, yet youth unemployment was 10% (PLFS 2022-23).
- Informality: 57.3% of workers are self-employed and 18.3% are unpaid helpers in household enterprises (2022-23), so people stay 'employed' without a wage.
How unemployment is computed: the PLFS method
- Household survey: the NSO's Periodic Labour Force Survey (since 2017-18) records each member's activity in sample households.
- Definition: a person seeking or available for work but not working is unemployed; the rate is the unemployed share of the labour force.
| Aspect | Usual status | Current weekly status |
|---|---|---|
| Reference period | Last 365 days | Last 7 days |
| Captures | Chronic joblessness | Seasonal and short spells |
| Published | Annual, rural and urban | Quarterly, urban only (till 2024) |
Limits of the method
- Low headline: the 4.1% usual-status rate (PLFS 2021-22) looks benign because subsistence self-employment and unpaid family work count as work.
- Hidden underutilisation: underemployment, low wages and job quality go unmeasured; women's unpaid work is under-captured.
- Coarse grain: no monthly or rural quarterly series, and thin district and skill-wise estimates.
Suggested improvements
- Broader measures: adopt the ILO's 19th ICLS (2013) indicators LU1–LU4, which add time-related underemployment and the potential labour force to the plain unemployment rate.
- Job quality: report wages, hours, social security and skill match beside the headcount, and count unpaid care work.
- Frequency and depth: monthly all-India and quarterly rural estimates (the revamped PLFS does this since January 2025), district-level results, and EPFO and e-Shram data as a cross-check.
Counting jobs by their quality, not just their number, lets policy strike at the structural roots of unemployment, and turns the demographic dividend into the decent work that Viksit Bharat @2047 and SDG 8 both demand.
Prepared by Minimalist IAS to the answer standard of Shivam Singh (mentor, 7 years) · facts checked against official sources (how we verify) · updated 3 Oct 2026. UPSC publishes no model answers: compare your structure and coverage with this, then write your own.
