Analyzing the Causes of Unemployment in India

India adds close to a crore new job seekers to its workforce every year, yet the number of vacancies rarely keeps pace. The result is a labour market where millions actively look for work but cannot find it, or find only irregular, low-paying tasks. According to the Periodic Labour Force Survey (PLFS) 2023-24, the unemployment rate stagnated at 3.2%, the first time since the survey began that it did not decline year-on-year. Behind this single number lies a web of structural, economic, and social causes that have built up over decades. Understanding these causes is essential for anyone studying the Indian economy, because unemployment is rarely the result of one policy failure. It is the outcome of population pressures, planning gaps, and an economy that has not always created jobs where its people actually live and work.

Population growth that outpaces job creation 🔗

India’s labour force grows by millions of people every year, and the economy has to generate a matching number of jobs just to keep unemployment from rising. When population growth outstrips the rate at which new employment opportunities are created, the gap between job seekers and job openings widens. This is one of the oldest and most frequently cited causes of unemployment in Indian economic literature, and it remains relevant today because the number of first-time job seekers entering the workforce each year continues to be very large relative to the pace of formal job creation, as documented in IGNOU’s unit on unemployment in India.

Slow and jobless economic growth 🔗

Economic growth does not automatically translate into employment growth. India has, in several phases, experienced what economists call jobless growth, where GDP expands but the additional output comes from capital-intensive sectors such as IT services, finance, and automobiles rather than labour-intensive manufacturing. Analysts studying this trend point out that when growth concentrates in sectors that need fewer workers per unit of output, the economy can post healthy growth numbers while unemployment barely moves. This mismatch between the sectors that grow fastest and the sectors that employ the most people is a recurring theme in India’s post-liberalisation growth story.

Gaps in economic planning 🔗

Since the First Five Year Plan in 1951, employment generation has been a stated goal of Indian planning. In practice, the actual rate of economic growth achieved during several plan periods fell short of targets, and employment targets fell short even more. Planning documents themselves acknowledge that projections for job creation were often optimistic and did not account for how quickly the labour force would expand. Over time, this gap between planned and actual employment generation has added to the backlog of unemployed persons, a pattern traced across plan periods in official planning reviews.

The unresolved crisis in agriculture 🔗

Agriculture still employs a very large share of India’s workforce, even though its contribution to GDP is much smaller. This imbalance is a major source of what economists call disguised unemployment, where more people work on a piece of land than is actually needed to farm it productively. Small, fragmented landholdings and reliance on seasonal, monsoon-dependent farming mean that a large share of India’s rural workforce is technically employed but contributes little to actual output.

Disguised unemployment on the farm 🔗

Family members often continue working on small plots because there are no alternative jobs nearby, not because the farm genuinely needs their labour. Removing some of these workers would not reduce total farm output, which is exactly what makes this unemployment “disguised” rather than open. Land fragmentation has worsened this problem over generations, as landholdings get divided among heirs and shrink with each generation, a trend documented in research on unemployment and agricultural dependence in India.

Industrial growth that has not kept pace 🔗

Manufacturing was expected to absorb workers moving out of agriculture, the way it did in East Asian economies during their periods of rapid industrialisation. In India, industrial growth has been comparatively slow and has not created enough factory jobs to absorb this transition. Restrictive labour regulations, land acquisition delays, and infrastructure bottlenecks have all been cited as reasons why manufacturing has grown more slowly than services in India, leaving a gap between the workers leaving agriculture and the jobs available to receive them.

Shortage of capital and investment 🔗

Setting up new industries, farms, or service enterprises requires capital, and capital has historically been scarce relative to India’s abundant labour supply. When investment is limited, fewer new enterprises are established and existing ones expand more slowly, which directly caps the number of new jobs created. This capital shortage also pushes some employers toward machine-intensive rather than labour-intensive methods, since limited capital is often channelled into productivity-enhancing technology rather than into hiring additional workers.

A defective and mismatched education system 🔗

India produces millions of graduates every year, yet a large share of them struggle to find jobs that match their qualifications. The core issue is a mismatch between what the education system teaches and what employers actually need. Indian higher education has traditionally emphasised theoretical knowledge over practical, job-ready skills, leaving graduates without the technical or vocational training that many industries require. Government data bears this out: the PLFS for 2022-23 recorded a graduate unemployment rate of 13.4%, far higher than the overall unemployment rate for the same period, even after improving from the previous year. This gap between educational qualification and unemployment is one of the clearest signs that the system is not aligning curricula with labour market demand.

Lack of labour mobility 🔗

Jobs are not evenly distributed across India’s states and regions. Some states and cities offer far more opportunities than others, but workers do not always move to where the jobs are. Language barriers, housing costs, family ties, and lack of information about opportunities elsewhere all limit how easily people relocate for work. This immobility means that unemployment can coexist with labour shortages in different parts of the country at the same time, a structural inefficiency that pure job creation numbers do not capture.

Under-utilisation of installed industrial capacity 🔗

Many Indian factories do not operate at their full production capacity. Power shortages, raw material supply issues, inadequate infrastructure, and weak demand can all keep plants running below their potential output. When installed capacity is under-utilised, factories need fewer workers than they were originally designed to employ, which suppresses industrial job creation even in sectors where the physical capacity to hire already exists.

Modernisation and the technology trade-off 🔗

Automation and new technology raise productivity, but they can also reduce the number of workers needed to produce the same output. This trade-off is visible across manufacturing, retail, and even agriculture, where machines increasingly perform tasks that once required manual labour. The shift toward capital-intensive and automated processes has been particularly notable in sectors adopting robotics and digital tools, and it disproportionately affects workers whose skills have not kept pace with these changes, a concern raised in studies on automation’s impact on Indian employment. The challenge is not technology itself, but the pace at which the workforce can reskill to work alongside it rather than being displaced by it.

How these causes reinforce each other 🔗

What stands out when these causes are viewed together is how they compound one another. A defective education system feeds workers into an economy that is already growing without creating enough jobs. A neglected agricultural sector pushes people toward cities where industrial growth has been too slow to absorb them. Capital shortages and capacity under-utilisation mean that even the industries that do exist cannot employ as many people as they could. No single policy fix addresses all of these simultaneously, which is why unemployment in India has remained a persistent, structural challenge rather than a short-term cyclical problem.

What do you think? 🔗

What do you think? Among these causes, which one do you think has the biggest influence on job creation in India today: the mismatch between education and industry needs, or the slow pace of industrial growth relative to population expansion? And as automation spreads further into sectors like retail and agriculture, should reskilling programmes be treated as an economic priority on the same scale as capital investment?

References

1. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2057970&reg=48&lang=2
2. https://egyankosh.ac.in/bitstream/123456789/84857/3/Unit-8.pdf
3. https://inclusiveias.com/unemployment-in-india-upsc/
4. https://ijrtssh.com/wp-content/uploads/ijrtssh.vol_.3.issue6_167.pdf
5. https://news.careers360.com/unemployment-rate-among-graduates-declines-134-pc-between-july-2022-june-2023/amp
6. https://www.etashasociety.org/causes-of-unemployment-in-india/