Resources · Economics
Educated unemployment in India
Why unemployment in India rises as education rises — the paradox NCERT calls a peculiar problem, with the current PLFS figures behind it, the other types of unemployment students are asked to distinguish, and model answers.
That last pair is the whole subject in one line. A young graduate in India is roughly nine times more likely to be unemployed than a young person who never learned to read. That is not a data error — it is the paradox, and the reason the problem is called peculiar.
Definition
What educated unemployment means
Plain Definition. Educated unemployment is a situation in which people who have completed formal schooling or higher education - matriculates, graduates and post-graduates - are willing to work at the prevailing wage but are unable to find suitable jobs.
Textbook: NCERT, Economics, Class IX (Social Science)
Chapter: Chapter 2 - People as Resource
Section: Unemployment
Text As Reproduced: In case of urban areas, educated unemployment has become a common phenomenon. Many youth with matriculation, graduation and post-graduation degrees are not able to find job. A study showed that unemployment of graduate and post-graduate has increased faster than among matriculates. A paradoxical manpower situation is witnessed as surplus of manpower in certain categories coexist with shortage of manpower in others. There is unemployment among technically qualified persons on one hand, while there is dearth of technical skills required for economic growth.
Verbatim Verification: PARTIAL. The NCERT PDF at ncert.nic.in is robots-blocked and web.archive.org is blocked from this environment, so the passage could not be read from the primary NCERT file. Every clause above was matched across multiple independent NCERT-reproducing sources (Teachoo NCERT-questions page, NCERT Solutions PDF at ncerthelp.com, PrepLadder NCERT notes, a KV notes page that returns on an exact-phrase search for 'paradoxical manpower situation is witnessed as surplus of manpower in certain categories coexist with shortage of manpower in others'). Treat as high-confidence reconstruction, not a certified verbatim quote. Re-check against the printed textbook before publishing it inside quotation marks.
Ncert Definition Of Unemployment: NCERT Class 9, People as Resource: 'Unemployment is said to exist when people who are willing to work at the going wages cannot find jobs.'
Exercise Question Students Are Asked: Why are educated unemployed a peculiar problem of India? (NCERT Class 9 Economics, Chapter 2 'People as Resource', end-of-chapter exercise)
Class 9 Chapter 1:
Chapter: The Story of Village Palampur (NCERT Class 9 Economics, Chapter 1)
What It Actually Covers: Farm land as a fixed resource, multiple cropping, surplus farm labour and low farm wages in Palampur. It sets up the idea of too many workers on too little land, which is the basis for disguised unemployment discussed in Chapter 2.
Does It Define Educated Unemployment:
Note: Educated unemployment is NOT defined in the Palampur chapter. Pages that claim it is are wrong. Could not verify verbatim Palampur wording from the primary NCERT PDF (robots-blocked).
Indian Economic Development:
Textbook: NCERT, Indian Economic Development
Class Correction: This book is the NCERT CLASS 11 Economics textbook (Class 11 Economics = 'Statistics for Economics' + 'Indian Economic Development'). Several state boards and some solution sites list it under Class 12, and many students search for it as 'Class 12 Indian Economic Development'. The page should say 'Class 11 (used in Class 12 by some boards)' rather than asserting Class 12.
Chapter: Employment: Growth, Informalisation and Other Issues - Chapter 6 in the rationalised (2023 onwards) edition; Chapter 7 in the pre-rationalisation edition
What It Covers: Worker, workforce, labour force, worker-population ratio, self-employed / regular salaried / casual wage workers, formal and informal sector employment, casualisation and informalisation of the workforce, jobless growth, unemployment types, and government employment-generation programmes.
Ncert Definitions Confirmed:
Worker: A person who earns a living by engaging in some form of productive activity.
Seasonal Unemployment: A situation in which a large number of people are unable to obtain work during a specific season.
Disguised Unemployment: A situation in which the marginal physical productivity of labour is zero or negative - more people are employed on a job than are actually required.
Verbatim Verification: PARTIAL - sourced from a widely used revision-notes reproduction, not from the NCERT PDF itself.
- what is educated unemployment
- define educated unemployment
- educated unemployment class 9
- why is educated unemployment a peculiar problem in india
- why are educated unemployed a peculiar problem of India
- educated unemployment meaning with example
- difference between disguised and seasonal unemployment
The exam question
Why it is called a peculiar problem
One Line Answer. It is peculiar because in India unemployment RISES with education instead of falling: the more a person studies, the more likely they are to be unemployed - the opposite of the pattern in most economies.
Full Answer. In most countries more education means a better chance of getting a job. In India the relationship is inverted. In PLFS 2025 the all-India unemployment rate for people aged 15 and above was 3.1% on usual status, but for people with at least secondary education it was 6.5% - roughly double - and for graduates it was about 11.2%, more than three times the national rate. Among youth (15-29) the gap is starker still: JustJobs Network's analysis of PLFS 2025 puts unemployment at 19.2% for male graduates and 29.4% for female graduates, around six times the rate for those who have not completed primary school. The ILO-IHD India Employment Report 2024 found youth unemployment of 29.1% for those with a graduate degree or higher against 3.4% for youth who cannot read and write - a nine-fold gap. The consequence is a change in who the unemployed are: the share of the unemployed who have secondary education or above rose from 35.2% in 2000 to 65.7% in 2022, so roughly two in three unemployed people in India are now educated.
- A near-zero measured unemployment rate among the illiterate does NOT mean they are well employed. They cannot afford to stay unemployed, so they take any low-paid, informal, casual work available. Poverty forces them into work; measured unemployment therefore looks tiny.
- An educated person usually comes from a household that can support a longer job search. They can afford to queue for a regular salaried job with a contract, security and a salary that matches the degree, rather than accept casual work. This 'rational queuing' shows up in the statistics as open unemployment.
- India's economy still generates mostly low-skill, informal work, while the education system generates degree-holders much faster than the formal economy generates graduate-level jobs. The result is NCERT's 'paradoxical manpower situation': surplus manpower in some categories coexisting with shortages in others.
- So educated unemployment is not a sign that education is worthless; it is a sign of a structural mismatch between the kind of workers India produces and the kind of jobs India creates.
Claim: All-India unemployment rate 15+, usual status
Value: 3.1%
Year: 2025
Claim: Unemployment rate among educated persons (secondary and above), usual status
Value: 6.5%
Year: 2025
Claim: Graduate unemployment rate
Value: 11.2%
Year: 2025
Claim: Youth (15-29) unemployment, graduate degree or above
Value: 29.1%
Year: 2022
Claim: Youth (15-29) unemployment, cannot read and write
Value: 3.4%
Year: 2022
Claim: Share of the unemployed who are educated (secondary or above)
Value: 65.7% (up from 35.2% in 2000)
Year: 2022
Exam Ready Three Marker. Educated unemployment is called a peculiar problem of India because unemployment here increases with the level of education instead of decreasing. (i) Many youth with matriculation, graduation and post-graduation degrees are unable to find jobs, and unemployment among graduates and post-graduates has risen faster than among matriculates. (ii) It creates a paradoxical manpower situation - there is surplus manpower in some categories while other categories face a shortage; technically qualified people are unemployed even though the economy lacks the technical skills it needs for growth. (iii) It is a greater loss because society and families have already spent heavily on educating these people, so their idleness is a direct wastage of human resource and turns an asset into a liability.
The figures
What the data shows
Indicator: Unemployment rate, persons aged 15+, usual status (ps+ss)
Value Percent: 3.1
Year: 2025 (January-December 2025)
Confidence: high
Indicator: Unemployment rate, persons aged 15+, current weekly status (CWS), annual 2025
Value Percent: 5.3
Year: 2025
Confidence: medium
Note: The PIB press release headlines the usual-status figure. The CWS annual figure is reported secondhand; verify against the full report's statement tables before publishing.
Indicator: Unemployment rate, 15+, CWS, monthly
Value Percent: 5
Year: August 2026
Detail:
Rural: 4.1
Urban: 6.8
Male: 4.9
Female: 5.1
Confidence: medium
Note: Monthly CWS figures are always higher than the annual usual-status figure. Do NOT compare 5.0% (CWS, monthly) with 3.1% (usual status, annual) as if they measure the same thing.
Indicator: Labour Force Participation Rate (LFPR), 15+, usual status
Value Percent: 59.3
Detail:
Male: 79.1
Female: 40
Year: 2025
Confidence: high
Indicator: Worker Population Ratio (WPR), 15+, usual status
Value Percent: 57.4
Detail:
Male: 76.6
Female: 38.8
Year: 2025
Confidence: high
Headline Contrast: 3.1% for all persons 15+ vs 6.5% for those with secondary education or above vs about 11.2% for graduates (PLFS 2025) - and 3.4% for illiterate youth vs 29.1% for graduate youth (ILO-IHD 2024).
Series:
Education Level: All persons aged 15+ (all education levels)
Unemployment Rate Percent: 3.1
Status: usual status (ps+ss)
Year: 2025
Confidence: high
Education Level: Secondary education and above ('educated persons')
Unemployment Rate Percent: 6.5
Previous Year Value Percent: 7
Status: usual status (ps+ss)
Year: 2025 (2024: 7.0%)
Confidence: high
Education Level: Graduate
Unemployment Rate Percent: 11.2
Detail:
Rural: 11.8
Urban: 10.6
Status: usual status (ps+ss), age 15+
Year: 2025
Confidence: medium
Note: Single-source for 2025. Directionally consistent with the official 6.5% secondary-and-above figure and with the 2022-23 official figure of 13.4%. Rural graduate unemployment exceeding urban is a long-standing PLFS pattern, not an error.
Education Level: Postgraduate
Unemployment Rate Percent: 10
Status: usual status (ps+ss), age 15+
Year: 2025
Confidence: medium
Education Level: Not literate / illiterate
Unemployment Rate Percent: 0.3
Status: usual principal status, ages 15-59
Year: 2022-23
Confidence: medium
Note: A 2025-vintage 'not literate' rate could not be located in any accessible source. Data For India's PLFS 2023-24 analysis states the rate is 'nearly zero among the illiterate population', which corroborates the order of magnitude. Do not present 0.3% as a 2025 figure.
Education Level: Graduate and above, ages 15-59
Unemployment Rate Percent: 15.79
Status: usual principal status
Year: 2022-23
Confidence: medium
Graduate Unemployment Time Series:
Values:
Period: 2019-20
Rate Percent: 17.2
Period: 2020-21
Rate Percent: 15.5
Period: 2021-22
Rate Percent: 14.9
Period: 2022-23
Rate Percent: 13.4
Period: 2023-24
Rate Percent: 13
Period: 2025
Rate Percent: 11.2
Confidence: medium
Note: The series is assembled from multiple secondary reports of successive PLFS rounds and the 2024 (Jan-Dec) value is missing. Present as an approximate downward trend, not as an official table.
Youth Graduates:
Male Graduate Youth Unemployment Percent: 19.2
Female Graduate Youth Unemployment Percent: 29.4
Age Group: 15-29
Year: 2025
Comparison: Male graduate youth unemployment is roughly six times the rate among youth who have not completed primary school.
Confidence: medium
Ilo Ihd Education Gradient:
Year: 2022
Age Group: youth, 15-29
Graduate Or Higher Percent: 29.1
Secondary Or Higher Percent: 18.4
Illiterate Cannot Read Or Write Percent: 3.4
Gap: Roughly nine times higher for graduates than for illiterate youth
Confidence: high
Indicator: Youth (15-29) unemployment rate, usual status
Value Percent: 9.9
Detail:
Rural: 8.3
Urban: 13.6
2024 Comparison: 10.3
2022 Comparison: 10.9
Year: 2025
Confidence: high
Indicator: Urban female youth (15-29) unemployment rate, usual status
Value Percent: 18.9
Year: 2025
Confidence: low
Note: Single secondary source; verify in the PLFS statement tables before publishing.
Indicator: Youth NEET rate (not in employment, education or training), 15-29
Value Percent: 25
Year: 2025
Confidence: medium
Indicator: NEET rate, ages 20-29
Value Percent: 31.75
Year: 2025
Confidence: medium
Indicator: Share of female graduates/diploma holders aged 15-29 who are NEET
Value Percent: 50
Year: 2025
Confidence: medium
Indicator: Youth unemployment rate (ILO-IHD series)
Value Percent: 12.4
Year: 2022
Comparison: 5.7% in 2000
Confidence: high
Note: The report also shows a UPSS-basis youth series of 5.7% (2000), 17.5% (2019), 12.1% (2022), about 10% (2023). The 12.4%/12.1% difference is a status-measure difference, not a contradiction.
Indicator: Youth share of India's total unemployed
Value Percent: 83
Year: 2022
Confidence: high
Value Percent 2022: 65.7
Value Percent 2000: 35.2
Definition: Share of total unemployed persons who have secondary education or above (UPSS basis)
Confidence: high
Plain Language: In 2000 about one in three unemployed Indians was educated to secondary level or above. By 2022 it was about two in three.
Year: 2025
Status: usual status (ps+ss), age 15+
Rural Percent: 2.4
Urban Percent: 4.8
Rural Male Percent: 2.6
Rural Female Percent: 2.1
Urban Male Percent: 4.2
Urban Female Percent: 6.4
Confidence: high
Why It Matters: Educated unemployment is largely an urban and small-town phenomenon, which is exactly what NCERT says ('In case of urban areas, educated unemployment has become a common phenomenon'). Urban unemployment is double rural unemployment, and urban female unemployment (6.4%) is the highest of the four rural/urban x male/female cells.
Year: 2025
Unemployment Rate Male Percent: 3.1
Unemployment Rate Female Percent: 3.1
Lfpr Male Percent: 79.1
Lfpr Female Percent: 40
Wpr Male Percent: 76.6
Wpr Female Percent: 38.8
Confidence: high
Interpretation: Headline male and female unemployment rates are equal at 3.1%, but this conceals the real problem: female LFPR is 40.0% against 79.1% for men. Most women who are not working are counted as outside the labour force, not as unemployed, so the female unemployment rate understates the scale of unused female human resource. Among educated women the picture is far worse - urban female unemployment is 6.4%, urban female youth unemployment is about 18.9%, female graduate youth unemployment is 29.4%, and nearly half of young female graduates are NEET.
Indicator: Gujarat unemployment rate, 15+, usual status
Value Percent: 0.9
Year: 2025
All India Comparison Percent: 3.1
Confidence: medium
Note: Age group and status are inferred from context in the SBI deck; confirm against MoSPI's state tables before publishing.
Indicator: Gujarat unemployment rate, usual status
Value Percent: 1.1
Year: 2023-24 (July 2023 - June 2024)
Rank: Second-lowest among States/UTs, after Madhya Pradesh (0.9%); all-India was 3.2%
Confidence: medium
Indicator: Gujarat graduate unemployment rate
Value Percent: 6
Year: 2025 (PLFS)
Context: Among the lowest in India; Delhi lowest at 5.7%, Kerala highest at 19.8%, Odisha 18.9%, Bihar 16.6%, Tamil Nadu 16.3%
Confidence: low
Note: Use with caution. The same article also states an all-India graduate unemployment rate of 22.7%, which is inconsistent with its own state list (maximum 19.8%) and with Forbes India's 11.2%. The state figures may still be sound but the article contains at least one clear error.
Indicator: Gujarat-specific educated/graduate unemployment from an official MoSPI state table
Note: NOT VERIFIED. No official MoSPI state-by-education-level table for Gujarat could be retrieved. Do not publish a Gujarat educated-unemployment figure as official.
Value: about 1.1 crore (11 million) unemployed graduates in India
Year: 2025-26 (PLFS-based)
Confidence: low
Supporting Claim: The same report states India had about 50 lakh graduates in 1983 and about 6.3 crore in 2025, and that one in eight unemployed youth was a graduate in 1983 against roughly two in three today.
Note: Absolute counts are not published in the PLFS press note; treat as indicative.
Indicator: Total employed persons
Value: about 61.6 crore (male 41.6 crore, female 20.0 crore)
Year: 2025
Confidence: medium
Indicator: Self-employed share of workers
Value Percent: 56.2
Year: 2025
Confidence: medium
Indicator: Regular wage/salaried share of workers
Value Percent: 23.6
Year: 2025
Confidence: medium
Indicator: Share of workers in agriculture
Value Percent: 43
Year: 2025
Confidence: medium
Indicator: Share of workers in manufacturing
Value Percent: 12.1
Year: 2025
Confidence: low
Note: Sectoral shares from a secondary summary; verify against the report.
Indicator: Share of workforce in the informal sector / informally employed
Value: about 82% of the workforce in the informal sector; nearly 90% informally employed
Year: 2022
Confidence: high
Indicator: Persons aged 15+ with at least secondary education
Value Percent: 67.8
Detail:
Rural: 61.9
Urban: 79.7
Year: 2025
Confidence: high
Indicator: Average years of formal education, persons 15+
Value: 10.0 years (male 10.2, female 9.9)
Year: 2025
Confidence: high
Indicator: Persons 15-59 with formal vocational/technical training
Value Percent: 4.2
Year: 2025
Confidence: medium
One measurement trap worth knowing before you quote a number. India publishes two unemployment rates that are not comparable: usual status looks back 365 days and gives about 3.1%, while current weekly status looks back 7 days and gives about 5%. Mixing them is the commonest mistake in school answers and in news reporting. PLFS was also redesigned in January 2025 — monthly panel, calendar year, sample raised from 1.02 to 2.72 lakh households — so there is a break in the series and older figures are not directly comparable.
Definitions students confuse
The other types of unemployment
Educated unemployment
A situation in which people who have completed matriculation, graduation or post-graduation are willing to work but cannot find suitable jobs.
Example: A B.Com graduate in Ahmedabad who has been preparing for bank and SSC exams for three years while refusing the delivery and retail jobs that are available.
Disguised unemployment
A situation in which more people are engaged in a job than are actually required, so that the extra workers add nothing to output. If they are removed, total production does not fall. In economic terms, the marginal productivity of these workers is zero (or negative).
Example: A family farm of two hectares where eight family members work although five could do all the work. The other three appear employed but contribute nothing extra to the harvest.
Seasonal unemployment
A situation in which people are unable to find work during certain months or seasons of the year, because the occupation itself provides work only in particular seasons.
Example: An agricultural labourer in Bihar who works during sowing, weeding, harvesting and threshing but has almost no farm work between those busy periods, and migrates to a city for a few months.
Open unemployment
A situation in which a person has no work at all, is available for work and is actively looking for work. The unemployment is visible and is what the official unemployment rate measures.
Example: An engineering graduate in Surat who has completed her degree, has registered on a job portal, attends interviews and has no work of any kind.
Structural unemployment
Unemployment caused by a long-term mismatch between the skills, qualifications or location of workers and the requirements of available jobs, arising from changes in the structure of the economy - technology, demand patterns or industrial composition.
Example: Thousands of arts and commerce graduates in a state whose new jobs are all in electronics assembly and data-centre operations, which require skills those degrees never taught. Also handloom weavers displaced by power looms.
Frictional unemployment
Short-term unemployment that occurs while a worker is moving between jobs, or while a fresh entrant is searching for a first job. It exists because matching workers to vacancies takes time and information is imperfect.
Example: A software engineer who resigns in Pune in April and joins a new company in Bengaluru in June; for those two months she is frictionally unemployed.
Cyclical unemployment
Unemployment caused by a fall in aggregate demand during a downturn or recession in the business cycle, when firms cut output and therefore cut jobs. It disappears when demand recovers.
Example: Construction and hospitality workers who lost jobs during the COVID-19 lockdowns of 2020-21 as demand collapsed, and were re-absorbed as activity recovered.
Underemployment (related concept)
A situation in which a person is working but for fewer hours than they are willing to work, or in a job far below their skill and qualification level, or at very low productivity and earnings.
Example: A postgraduate in history working as a delivery rider, or a trained ITI welder selling vegetables.
Why it happens
The causes
Skills mismatch between what degrees certify and what employers need
India produces degree-holders far faster than it produces people with job-ready skills. Employers report they cannot fill skilled vacancies even while graduates are unemployed - exactly NCERT's 'paradoxical manpower situation'.
Quality and orientation of higher education
Rapid expansion of colleges and universities raised enrolment much faster than it raised teaching quality, industry linkage or practical training. Curricula are heavily theoretical, internships and lab/project work are thin, and general-degree streams (BA, B.Com, B.Sc) absorb the largest numbers with the weakest labour-market signal.
Jobless (or job-poor) growth in the formal sector
For long stretches GDP grew much faster than formal employment, so output rose without a matching rise in salaried jobs. The debate is live: employment elasticity was near zero (0.008) between 2011-12 and 2016-17 but is estimated at about 1.11 for 2017-18 to 2023-24, and much of the recent employment growth has been in self-employment and unpaid family work rather than salaried jobs.
Strong preference for government and white-collar jobs
Security, pension, social status and predictable pay make government jobs the default aspiration for educated youth, so many stay voluntarily unemployed for years preparing for competitive exams rather than take available private or informal work. Economists call this 'queuing'.
Slow absorption by manufacturing
In most fast-growing economies manufacturing pulls workers out of agriculture into formal wage jobs. India's manufacturing employment share has stayed roughly flat around 11-12% while services grew in output but concentrated new hiring in high-skill, urban, English-medium niches that most graduates cannot enter. Agriculture still holds about 43% of workers.
Regional concentration of formal jobs
Formal, graduate-level employment is concentrated in a handful of industrialised states and a few metro clusters, while degree-holders are produced everywhere. Graduates in states without formal-job clusters either migrate or wait.
Credential inflation
As degrees become common, employers raise the entry bar for the same job - a role that once needed Class 12 now asks for a graduate degree, and one that needed a BA now asks for an MBA. Students respond by buying more education, which pushes the bar higher again. The degree stops signalling scarcity, so its holders queue longer.
Low female labour force participation and the double penalty on educated women
Educated women face both the general shortage of suitable jobs and social/caregiving constraints, so they either stay unemployed or drop out of the labour force entirely - which removes them from the unemployment rate altogether and hides the loss.
What it costs
Consequences
- Loss of income and complete financial dependence on parents or relatives well into the late twenties.
- Erosion of skills: a degree that is not used loses value quickly, so the longer the wait, the harder the person is to employ - the 'scarring' effect.
- Loss of self-esteem, anxiety and depression; NCERT notes that unemployment causes 'a feeling of hopelessness and despair' among youth.
- Under-employment: accepting a job far below one's qualification, which permanently lowers lifetime earnings.
- The household has already spent years of income on school and college fees and gets no return - the investment in education becomes a sunk cost.
- Earning members must support additional adult dependants, which raises the dependency burden and lowers per-capita consumption.
- NCERT: unemployment 'tends to increase economic overload' and 'the dependence of the unemployed on the working population increases'.
- Quality of life declines and health deteriorates; younger siblings may be withdrawn from school to cut costs or to start earning.
- Social costs: delayed marriage, distress migration and, in some studies, higher incidence of crime and substance abuse.
- Wastage of human resource - NCERT's central framing: 'Unemployment leads to wastage of manpower resource. People who are an asset for the economy turn into a liability.' A population that was meant to be a demographic dividend becomes a demographic burden.
- Loss of potential output: the goods and services the unemployed could have produced are never produced, so actual GDP stays below potential GDP.
- Lower aggregate demand: unemployed youth spend little, which weakens demand and in turn weakens job creation - a vicious circle.
- Lower tax revenue and higher pressure on welfare and employment-guarantee spending.
- Wasted public investment in education: the state subsidises schools, colleges and universities whose output the economy then fails to use.
- The demographic window is time-limited. India's working-age share peaks and then falls; jobs not created during this window represent output permanently lost.
- Brain drain: the most employable graduates emigrate, taking publicly subsidised skills with them.
Text As Reproduced: Unemployment leads to wastage of manpower resource. People who are an asset for the economy turn into a liability. There is a feeling of hopelessness and despair among the youth. People do not have enough money to support their family. Inability of educated people who are willing to work to find gainful employment implies a great social waste. Unemployment tends to increase economic overload. The dependence of the unemployed on the working population increases. The quality of life of an individual as well as of society is adversely affected. When a family has to live on a bare subsistence level there is a general decline in its health status and rising withdrawal from the school system.
Verbatim Verification: PARTIAL - reconstructed from multiple NCERT-reproducing sources; the NCERT PDF could not be fetched directly (robots-blocked). Verify against the printed textbook before using inside quotation marks.
Policy
What is being done about it
Skill India Mission (SIM)
Umbrella mission to raise employability by delivering short-term skill training, apprenticeships, ITI-based craftsman training and recognition of prior learning across the working-age population.
Pradhan Mantri Kaushal Vikas Yojana (PMKVY), now PMKVY 4.0
Flagship short-term training and Recognition of Prior Learning scheme. PMKVY 4.0 adds on-the-job training, industry-aligned and future-skills courses (AI, robotics, drones), and targeted support for women, persons with disabilities and candidates from special areas.
National Apprenticeship Promotion Scheme (NAPS / PM-NAPS)
Promotes apprenticeship training by sharing the stipend cost with employers, so that young people get paid, structured, on-the-job experience with a real firm instead of only classroom training. Directly attacks the 'degree but no work experience' problem.
PM Internship Scheme (PMIS)
To give young people real workplace exposure inside India's top companies so that a degree is backed by industry experience. Target: 1 crore internships over five years.
Pradhan Mantri Viksit Bharat Rozgar Yojana (PM-VBRY) - the Employment Linked Incentive (ELI) scheme
Employment-linked incentive scheme to make formal hiring cheaper for employers and formal jobs more attractive for first-time workers, with a focus on manufacturing, MSMEs and rural enterprises. This is the ELI scheme announced in Budget 2024-25, now operational under this name.
PM SETU (ITI upgradation)
Upgrade 1,000 Industrial Training Institutes on a hub-and-spoke model with industry partnership, to make ITI training genuinely employment-linked and to make the vocational route a respectable alternative to a general degree.
National Education Policy (NEP) 2020 - vocational integration
Ends the separation of 'academic' and 'vocational' streams. Vocational exposure begins in Class 6 with hands-on courses and a practical internship; vocational subjects are integrated into mainstream school and higher education; multidisciplinary degrees with multiple entry and exit points and an Academic Bank of Credits let a student leave with a certificate or diploma instead of nothing.
Other supporting programmes worth naming
National Career Service (NCS) portal, Ministry of Labour and Employment — job matching, career counselling and vocational guidance. Skill India Digital Hub (SIDH) — single digital platform for skilling, credentials and job linkage. Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDU-GKY) — placement-linked skilling for rural poor youth. Jan Shikshan Sansthan (JSS) — vocational training for non-literate, neo-literate and school dropouts, especially women. MGNREGA — guarantees 100 days of wage employment per rural household per year; addresses rural seasonal and disguised unemployment rather than educated unemployment. Start-up India and PM MUDRA Yojana — support self-employment and entrepreneurship as an alternative to salaried jobs. Scheme names and ministries here are stable and correct; no figures are attached to them because none were verified in this research pass.
Model answers
Exam questions, answered to length
Educated unemployment is a situation in which people who have completed matriculation, graduation or post-graduation are willing to work at the prevailing wage but are unable to find suitable jobs. It is found mainly in urban areas.
Unemployment is said to exist when people who are willing to work at the going wages cannot find jobs.
Educated unemployment is called a peculiar problem of India because here unemployment rises with the level of education instead of falling. (i) Many youth with matriculation, graduation and post-graduation degrees are unable to find jobs, and unemployment among graduates and post-graduates has increased faster than among matriculates. (ii) It creates a paradoxical manpower situation: there is a surplus of manpower in certain categories while other categories face a shortage, so technically qualified people remain unemployed even though the economy lacks the technical skills it needs for growth. (iii) It is a heavier loss than ordinary unemployment because the family and the nation have already invested years of money and effort in educating these people; their idleness is therefore a direct wastage of human resource, turning an asset of the economy into a liability.
Disguised unemployment: (i) People appear to be employed but are actually not needed - more people work on a job than are required. (ii) Their marginal productivity is zero; if they are removed, total output does not fall. (iii) Example: eight members of a farming family working on a small plot where five are enough; the other three add nothing to the harvest. Seasonal unemployment: (i) People are unable to find work during certain months or seasons of the year. (ii) It occurs because the occupation itself gives work only in particular seasons. (iii) Example: an agricultural labourer who has work during sowing, weeding, harvesting and threshing but almost none in between. In short, disguised unemployment is about TOO MANY people on the work that exists, while seasonal unemployment is about there being NO work at certain times of the year.
(i) People who could have produced goods and services remain idle, so the output they might have created is lost forever and the economy produces less than its potential. (ii) People who are an asset for the economy turn into a liability - they consume without producing, and the dependence of the unemployed on the working population increases, raising the economic overload on earning members. (iii) The money already spent by families and by the government on educating and training them yields no return, which is a great social waste. It also creates hopelessness and despair among the youth, lowers the quality of life and health of the family, and can force younger children to withdraw from school.
India's data show an inverted relationship between education and employment. According to the Periodic Labour Force Survey (PLFS) Annual Report 2025 of MoSPI, the all-India unemployment rate for persons aged 15 and above on usual status was 3.1%, but for persons with secondary education and above it was 6.5% - about double - and for graduates it was about 11.2%, more than three times the national rate. Among youth aged 15-29 the gap is wider: analysis of PLFS 2025 puts unemployment at 19.2% for male graduates and 29.4% for female graduates, about six times the rate for youth who have not completed primary school. The ILO-IHD India Employment Report 2024 found that in 2022 the youth unemployment rate was 29.1% for those with a graduate degree or higher but only 3.4% for youth who could not read and write - a nine-fold difference. As a result, the share of the unemployed who have secondary education or above rose from 35.2% in 2000 to 65.7% in 2022. This proves that in India the unemployment rate rises, rather than falls, as education increases.
(i) Skills mismatch: the education system produces degree-holders whose skills do not match what employers need. The Economic Survey 2024-25 noted that only 8.25% of graduates are employed in jobs matching their qualification level. (ii) Poor quality and theoretical orientation of higher education: colleges expanded far faster than teaching quality, industry linkage or practical training, so nearly 44% of graduating students are assessed as not job-ready (India Skills Report 2026). (iii) Jobless or job-poor growth: GDP has grown much faster than formal salaried employment, and manufacturing - which should absorb educated workers into regular jobs - still employs only about a tenth of the workforce while agriculture holds about 43%. (iv) Preference for government and white-collar jobs: educated youth queue for years preparing for competitive examinations rather than take available private work; about 1.21 crore candidates applied for just 11,558 railway NTPC posts in 2025.
(i) Make education employment-oriented: integrate vocational and skill courses into school and college curricula as envisaged by NEP 2020, which begins vocational exposure from Class 6 and targets exposure to vocational education for at least half of all learners. (ii) Expand skill training and apprenticeships: schemes such as PMKVY 4.0 and the National Apprenticeship Promotion Scheme give young people certified, industry-relevant and paid on-the-job training so that a degree is backed by real work experience; the PM Internship Scheme aims to place one crore young people in internships in the country's top 500 companies over five years. (iii) Encourage employers to create formal jobs: employment-linked incentive schemes such as the Pradhan Mantri Viksit Bharat Rozgar Yojana (in force since 1 August 2025) subsidise the hiring and retention of first-time formal workers, especially in manufacturing and MSMEs. (iv) Promote self-employment and entrepreneurship through credit and start-up support so that educated youth become job creators rather than job seekers, and spread industry to backward regions so that formal jobs are not concentrated in a few states.
No, it does not mean they are better off. (i) An illiterate person usually comes from a very poor household and cannot afford to remain without work even for a short time, so he or she accepts any casual, low-paid, insecure work available. Because they are working, they are not counted as unemployed - but much of this work is disguised or seasonal unemployment and yields very low income. (ii) An educated person usually comes from a household that can support a longer search, so he or she waits for a regular salaried job that matches the degree rather than accept casual work; this waiting shows up in the statistics as open unemployment. (iii) Therefore a low measured unemployment rate among the illiterate reflects poverty and the absence of choice, not better employment. The real problem for them is underemployment and low earnings, while for the educated it is open unemployment.
(i) Wastage of human resource: people who should be an asset for the economy turn into a liability, and the goods and services they could have produced are never produced, so actual output stays below potential output. (ii) Wasted investment: the money spent by families and by the government on schools, colleges and universities produces no return, which is a great social waste. (iii) Increased dependence and economic overload: the unemployed depend on the working population, which reduces per-capita consumption, lowers savings and hurts the quality of life and health of families. (iv) Weaker demand and slower growth: unemployed youth spend little, which depresses aggregate demand and in turn discourages firms from creating jobs, forming a vicious circle; the government also loses tax revenue while spending more on welfare. (v) Loss of the demographic dividend: India's working-age population share will not stay high forever, and skilled young people who cannot find work at home either lose their skills through disuse or migrate abroad, so the advantage of a young population is converted into a burden.
Where this starts. The gap between years of schooling and employability opens early, in foundational reading and arithmetic. The first step for a family that cannot afford a private school is the RTE 25% quota, which reserves a quarter of Class 1 places in private schools for weaker and disadvantaged groups.
Figures from the Periodic Labour Force Survey 2025 (MoSPI, released March 2026) and the ILO-IHD India Employment Report 2024, each cited on the point it supports. NCERT definitions here are paraphrased, not quoted — check the printed textbook before reproducing exam wording. Note that "Indian Economic Development" is the Class 11 book, and that educated unemployment appears in Class 9 Chapter 2 "People as Resource", not in "The Story of Village Palampur" as many sites state.