Disguised unemployment generally means

1. Measuring Employment: LFPR and WPR (basic)

To understand employment trends in India, we must first master how we count the people involved in the economy. The most fundamental concept is the Labour Force, which consists of both the employed (those with jobs) and the unemployed (those without jobs but actively seeking work). As noted in Indian Economy, Vivek Singh (7th ed. 2023-24), Terminology, p.457, the Labour Force Participation Rate (LFPR) is the percentage of the total population that is part of this labour force. Essentially, LFPR tells us the size of the 'active' supply of labour in the country. If a person is neither working nor looking for work (like a full-time student or someone who has given up looking), they are excluded from both the labour force and the LFPR calculation.

While LFPR tells us how many people want to work, the Worker Population Ratio (WPR)—sometimes called the Workforce Participation Rate (WFPR)—tells us how many people actually have jobs. According to Indian Economy, Nitin Singhania (2nd ed. 2021-22), Poverty, Inequality and Unemployment, p.48, the WPR is calculated as the total workforce divided by the total population. This is a critical metric because it reflects the economy’s capacity to generate employment. In India, there is often a gap between these two; for instance, recent data shows an LFPR of approximately 50.4% and a WPR of around 47.8% Indian Economy, Nitin Singhania (2nd ed. 2021-22), Poverty, Inequality and Unemployment, p.52. The difference between these two figures represents the portion of the population that is unemployed.

Understanding these ratios helps us identify structural issues. For example, India has historically seen a declining LFPR (falling from 63.7% in 2004-05 to 49.8% in 2017-18) Indian Economy, Nitin Singhania (2nd ed. 2021-22), Population and Demographic Dividend, p.572. This decline, especially among women, is a major point of discussion in Indian economics. By tracking the WPR alongside LFPR, policymakers can determine if a low unemployment rate is due to job creation or simply because people have stopped looking for work and exited the labour force entirely.

Term	Formula	What it tells us
LFPR	(Labour Force / Population) × 100	Supply of labour (Employed + Seekers)
WPR	(Workforce / Population) × 100	Demand for labour (Actual jobs held)

Sources: Indian Economy, Vivek Singh (7th ed. 2023-24), Terminology, p.457; Indian Economy, Nitin Singhania (2nd ed. 2021-22), Poverty, Inequality and Unemployment, p.48; Indian Economy, Nitin Singhania (2nd ed. 2021-22), Population and Demographic Dividend, p.572; Indian Economy, Nitin Singhania (2nd ed. 2021-22), Poverty, Inequality and Unemployment, p.52

2. Major Types of Unemployment: Structural and Frictional (basic)

To understand employment in India, we must first distinguish between why people are out of work. It’s rarely just about a lack of jobs; often, it’s about the mismatch between the worker and the work available. Two of the most fundamental types you'll encounter in the UPSC syllabus are Structural and Frictional unemployment. While both involve people looking for work, their causes and solutions are worlds apart.

Structural Unemployment is a long-term phenomenon caused by fundamental shifts in the economy. Think of it as a "mismatch" problem. It happens when the skills workers possess no longer match the requirements of the jobs available. This could be due to technological changes (e.g., manual typists losing jobs to computer operators) or geographic shifts where jobs move to cities while workers remain in villages Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p. 272. Because it requires retraining or relocation, this type of unemployment is often difficult to resolve quickly and requires government intervention in education and skill development.

On the other hand, Frictional Unemployment is generally temporary and often seen as a sign of a healthy, dynamic economy. It is the time lag or "search time" when a person is transitioning between jobs, moving to a new city, or freshly entering the labor market after graduation Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p. 272. It happens because information isn't perfect—it takes time for an employer to find the right candidate and for a worker to find the right role. Unlike structural issues, frictional unemployment is usually short-lived.

Feature	Structural Unemployment	Frictional Unemployment
Nature	Long-term / Chronic	Short-term / Transitional
Primary Cause	Mismatch of skills or location	Time taken to find a new/better job
Solution	Skill Development (Reskilling)	Better job portals/information flow

Sources: Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.272

3. Institutional Monitoring: The PLFS Framework (intermediate)

To understand how India tracks its jobs and workforce, we must look at the Periodic Labour Force Survey (PLFS). Historically, India relied on the Employment and Unemployment Surveys (EUS), which were conducted by the NSSO only once every five years (quinquennially) Vivek Singh, Inclusive growth and issues, p.274. However, in a rapidly changing economy, a five-year gap was too long for policy interventions. Consequently, the government transitioned to the PLFS in 2017 to provide more frequent and timely data. Today, the National Statistical Office (NSO), functioning under the Ministry of Statistics and Programme Implementation (MoSPI), is the nodal agency for this task. It is important to note that the NSO itself is the result of a 2019 merger between the Central Statistical Office (CSO) and the National Sample Survey Office (NSSO), following recommendations by the Rangarajan Commission to streamline statistical standards Nitin Singhania, National Income, p.4. The PLFS framework operates with a dual-track objective to capture both short-term fluctuations and long-term structural trends:

• Quarterly Estimates (Urban Only): To measure short-term dynamics in the labour force (specifically using the Current Weekly Status) for urban areas every three months.
• Annual Estimates (Rural & Urban): To provide a comprehensive yearly picture of key parameters like the Labour Force Participation Rate (LFPR) and Worker Population Ratio (WPR) for both rural and urban India Vivek Singh, Inclusive growth and issues, p.274.

By moving to this model, the government can now track critical issues—such as disguised unemployment (where extra workers add zero marginal productivity)—much more effectively than under the old five-year system Nitin Singhania, Poverty, Inequality and Unemployment, p.50.

Feature	Old System (EUS)	New System (PLFS)
Frequency	Every 5 years	Annual (All India) & Quarterly (Urban)
Conducting Body	NSSO	NSO (MoSPI)
Data Granularity	Slow, structural shifts	Rapid, dynamic shifts

Sources: Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.274; Indian Economy, Nitin Singhania (2nd ed. 2021-22), National Income, p.4; Indian Economy, Nitin Singhania (2nd ed. 2021-22), Poverty, Inequality and Unemployment, p.50

4. Sectoral Shift: Agriculture to Services (intermediate)

In a typical economic progression, a country moves from Agriculture to Manufacturing and finally to Services. However, India's development trajectory has been unique, often described as 'leapfrogging' the industrial stage. Since the 1991 liberalization, the services sector has become the engine of Indian growth, now contributing roughly 54% to India's Gross Value Added (GVA) Indian Economy, Vivek Singh, Indian Economy after 2014, p.228. While this looks like a sign of a developed economy on paper, there is a deep structural paradox: the shift in output (GVA) has not been matched by a shift in employment.

While the services sector generates the most wealth, it is capital-intensive and skill-intensive. This creates a barrier for the millions of workers currently in the primary sector. According to Understanding Economic Development. Class X . NCERT, SECTORS OF THE INDIAN ECONOMY, p.24, the primary sector remains the largest employer despite its shrinking share in GVA. This mismatch results in a phenomenon called Disguised Unemployment, where more people are working in agriculture than required. In such a scenario, the marginal productivity of labour is zero—meaning if you were to move several workers out of a farm and into a factory, the total agricultural output would remain unchanged because those workers were essentially redundant Indian Economy, Nitin Singhania, Chapter 3: Poverty, Inequality and Unemployment, p.50.

The following table highlights the disparity between what the sectors produce and how many people they support:

Sector	Share in GVA (approx.)	Share in Employment (approx.)
Agriculture	~15-18%	~45-48%
Industry	~25-28%	~25%
Services	~54%	~30%

The 'Missing Middle'—the manufacturing sector—has failed to grow sufficiently to absorb the unskilled labour moving out of farms Indian Economy, Nitin Singhania, Indian Industry, p.376. Because the services sector requires specialized education (IT, finance, medicine), a farmer cannot easily transition into a software engineer. This structural mismatch ensures that while India grows rapidly in terms of GDP, it struggles with 'jobless growth' and persistent underemployment in rural areas.

Sources: Understanding Economic Development. Class X . NCERT, SECTORS OF THE INDIAN ECONOMY, p.24; Indian Economy, Vivek Singh, Indian Economy after 2014, p.228; Indian Economy, Nitin Singhania, Poverty, Inequality and Unemployment, p.50; Indian Economy, Nitin Singhania, Indian Industry, p.376

5. Informalization and Job Quality (intermediate)

To understand the current state of the Indian labor market, we must look at Informalization—the process through which the share of informal workers in the total workforce increases over time. In India, the informal (or unorganized) sector generally refers to enterprises that are neither registered nor monitored by the government, often employing fewer than 10 workers Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.270. While these enterprises contribute roughly 30% to India's GDP, they employ a staggering 90% of the total labor force, highlighting a massive gap between labor numbers and economic output Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.254.

The core of this issue lies in Job Quality. We categorize workers into two main types based on their terms of employment: Regular workers and Casual workers. Regular workers are on a permanent payroll and enjoy social security benefits like provident fund (PF), gratuity, and pensions. In contrast, casual workers are hired on daily wages and lack any safety net Indian Economy, Nitin Singhania (ed 2nd 2021-22), Poverty, Inequality and Unemployment, p.56. Interestingly, informalization is not just about small street vendors; it is also happening within the formal sector, where large private firms or government departments hire workers on a contractual basis without providing the same benefits as permanent employees.

Feature	Formal/Regular Worker	Informal/Casual Worker
Social Security	Entitled to PF, Pension, Insurance.	No social security benefits.
Job Security	High; protected by labor laws.	Low; work is often seasonal or daily.
Employer Size	Usually establishments with 10+ workers.	Small enterprises or self-employed.

As the economy evolves, we are seeing the rise of the Gig Economy. New categories like gig workers and platform workers (e.g., delivery partners or freelance consultants) have emerged. While these offer flexibility, they often fall outside traditional labor protections, leading the government to introduce the Code on Social Security to attempt universalization of benefits for all 52 crore workers in India Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.263.

Sources: Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.270, 254, 263; Indian Economy, Nitin Singhania (ed 2nd 2021-22), Poverty, Inequality and Unemployment, p.56

6. Economic Theory: Marginal Productivity of Labour (intermediate)

To understand employment trends in India, we must first master the concept of Marginal Productivity of Labour (MPL). At its simplest, MPL is the additional output produced when one more worker is hired, while all other factors (like land and machinery) remain constant. Imagine a small plot of land; the first worker might produce 10 units of grain. If adding a second worker brings the total to 24 units, the Marginal Product of that second worker is 14 units. We calculate this because Total Product (TP) is effectively the sum of all individual marginal products Microeconomics (NCERT class XII 2025 ed.), Production and Costs, p.40.

However, labour productivity doesn't always go up. In economics, we observe the Law of Diminishing Returns. As we keep adding workers to a fixed piece of land or a single machine, the 'extra' contribution of each new worker eventually starts to fall. For instance, while the third worker might add 16 units, the sixth worker might only add 1 unit because the field is getting crowded Microeconomics (NCERT class XII 2025 ed.), Production and Costs, p.40. This decline occurs because the fixed factor (land) becomes over-utilized, and the variable factor (labour) becomes less efficient.

The most critical application of this theory in the Indian context is the phenomenon of Disguised Unemployment. This occurs when the Marginal Productivity of Labour becomes zero. In many Indian agricultural households, five family members might be working on a farm that only requires three. Even if you remove two people, the total harvest remains exactly the same. Technically, these two workers are 'employed,' but since their removal does not decrease the total output, their marginal contribution is nil. This indicates that while they appear to be working, they are not actually adding value to the economy.

Scenario	Marginal Productivity (MPL)	Impact on Total Product (TP)
Increasing Returns	Rising	TP increases at an increasing rate
Diminishing Returns	Falling (but positive)	TP increases at a decreasing rate
Disguised Unemployment	Zero	TP remains constant (at its maximum)

Sources: Microeconomics (NCERT class XII 2025 ed.), Production and Costs, p.40

7. Disguised Unemployment: Concepts and Causes (exam-level)

Disguised unemployment is a unique economic phenomenon where more people are engaged in a task than are actually required to perform it. On the surface, everyone appears to be working, but their individual contribution to the total production is redundant. The defining technical characteristic of this state is that the Marginal Productivity of Labour (MPL) is zero. This means that if a few workers were withdrawn from the activity, the total output would remain unchanged Indian Economy, Nitin Singhania, Chapter 3, p. 50. While these individuals are technically 'employed,' they are not working to their full potential, essentially hiding their unemployment behind a veil of shared activity.

In the Indian context, this is most visible in the agricultural sector. Because of heavy population pressure on land and a lack of alternative vocational avenues in rural areas, large families often work on small, ancestral plots. Since the land is limited, adding more family members to the tilling process doesn't actually produce more grain; it just spreads the same amount of work thinner among more hands Indian Economy, Vivek Singh, Chapter 8, p. 273. However, it is a mistake to think this is restricted to farms. It is also found in public sector enterprises or overstaffed government offices where workers may remain idle or perform redundant tasks because more staff were hired than the workload demands Indian Economy, Nitin Singhania, Chapter 3, p. 51.

Feature	Open Unemployment	Disguised Unemployment
Visibility	Clearly visible; people are looking for work.	Hidden; people appear to be working.
Productivity	Zero (since they have no work).	Marginal Productivity is zero.
Primary Sector	Common in urban industrial sectors.	Prevalent in rural agriculture NCERT Class X, p. 35.

Sources: Indian Economy, Nitin Singhania, Chapter 3: Poverty, Inequality and Unemployment, p.50-51; Indian Economy, Vivek Singh, Chapter 8: Inclusive growth and issues, p.273; Understanding Economic Development, Class X NCERT, Sectors of the Indian Economy, p.35

8. Solving the Original PYQ (exam-level)

Now that you have mastered the fundamental definitions of the labor market, this question tests your ability to identify the precise technical indicator of Disguised Unemployment. You have learned that in sectors like agriculture, more hands are often on deck than are technically necessary for the harvest. This question bridges the gap between a qualitative observation (too many workers) and the quantitative economic definition: the specific impact of that extra worker on the total output.

To arrive at the correct answer, (C) Marginal productivity of labour is zero, you must apply the logic of the 'redundant worker.' If five family members work a plot of land and produce 100kg of grain, and then two members leave for the city but the plot still produces 100kg, the contribution of those two workers was effectively nothing. As noted in Indian Economy, Nitin Singhania, their removal does not change the total output because their marginal productivity—the additional output generated by one more unit of labor—is zero. They are 'disguised' because they appear busy, but their economic contribution is redundant.

Be careful not to fall for the common traps UPSC sets in the other options. Option (A) describes Open Unemployment, where people are visibly without work. Option (B) describes a structural cause of the problem (lack of alternative jobs), but it is not the definition itself. Option (D) is the subtlest trap; while it is true that average productivity might feel low, the technical definition hinges on the fact that the marginal gain is exactly zero. According to Indian Economy, Vivek Singh, it is this specific lack of incremental gain that distinguishes disguised unemployment from simply having a low-efficiency workforce.