Unemployment — Types & Measurement
Structural, frictional, cyclical, seasonal, disguised unemployment — types, causes, and India’s unemployment challenge.
📖 What is Unemployment?
Unemployment refers to a situation where a person who is willing and able to work at the prevailing wage rate cannot find a job. It is measured by the Unemployment Rate = (Unemployed / Labour Force) × 100.
India’s unemployment rate was ~7.8% in 2023 (CMIE data). This means out of every 100 people willing to work, about 8 cannot find jobs. Youth unemployment is even higher — ~23% for those aged 15-29.
📊 Types of Unemployment
| Type | Definition | Indian Example |
|---|---|---|
| Structural | Mismatch between skills of workers and skills demanded by employers | Engineering graduates unable to find jobs because industry needs different skills |
| Frictional | Temporary unemployment while switching jobs or entering workforce | A fresh MBA graduate searching for first job for 2-3 months |
| Cyclical | Unemployment due to economic recession/slowdown | IT layoffs during 2023 global tech slowdown |
| Seasonal | Unemployment during off-season in agriculture or tourism | Agricultural labourers unemployed during non-harvest months (May-June) |
| Disguised | More workers employed than needed — marginal productivity = zero | 5 family members working on a farm that only needs 2 — 3 are disguisedly unemployed |
| Voluntary | Person chooses not to work at prevailing wage | Person refuses job at ₹300/day, wants ₹500/day |
| Underemployment | Working less than desired or in jobs below qualification | Engineering graduate working as data entry operator |
🌾 Disguised Unemployment — India’s Biggest Problem
India’s agriculture sector employs about 45% of the workforce but contributes only 18% of GDP. This massive gap indicates widespread disguised unemployment in agriculture.
A 2-acre farm in Andhra Pradesh can be efficiently managed by 2 people. But 5 family members work on it because there are no other jobs. The extra 3 are disguisedly unemployed — they appear employed but their removal would not reduce output. MGNREGA was designed to absorb such workers.
📏 Measuring Unemployment in India
India measures unemployment through the Periodic Labour Force Survey (PLFS) conducted by the National Statistical Office (NSO). Three approaches are used:
- Usual Status (US): Employment status over the past year — gives annual unemployment rate
- Current Weekly Status (CWS): Employment status in the past week
- Current Daily Status (CDS): Employment status each day of the past week — most comprehensive
📉 India’s Unemployment Data
| Category | Unemployment Rate (2022-23) |
|---|---|
| Overall (PLFS) | ~3.2% (usual status) |
| Urban | ~5.4% |
| Rural | ~2.4% |
| Youth (15-29 years) | ~23% |
| Female | ~9.4% |
⚠️ Causes of Unemployment in India
- Rapid population growth: More people entering workforce than jobs created
- Slow industrialisation: Manufacturing sector not absorbing enough workers
- Skill mismatch: Education system not aligned with industry needs
- Seasonal agriculture: Farming provides work only 4-6 months/year
- Automation: Technology replacing low-skill jobs
- Informal sector dominance: 90% of workers in informal sector with no job security
🔑 Key Terms
- Labour Force: Employed + Unemployed (those willing and able to work)
- LFPR: Labour Force Participation Rate — % of working-age population in labour force
- PLFS: Periodic Labour Force Survey — official unemployment data source
- CMIE: Centre for Monitoring Indian Economy — real-time unemployment tracker
- Disguised Unemployment: Zero marginal productivity — most common in Indian agriculture
- Underemployment: Working below capacity or qualification