The Girls Are Getting In. Why Isn’t Education Closing the Gender Gap at Work?

India’s gender gap in education has changed in a way that would have been difficult to imagine a few decades ago.

Women are entering higher education in large numbers. In several measures, they are now ahead of men.

But educational participation is only one part of the journey.

A woman can enter university, complete a science degree and even obtain advanced qualifications without necessarily reaching the kind of research position or employment that allows her education to translate into a sustained career.

That creates a different question for Indian education policy.

If women are succeeding in entering education, why is the same progress not appearing with equal strength in the institutions and jobs that follow?

The answer cannot be found in enrolment figures alone.

It lies in what happens between qualification and opportunity.

Higher education has changed substantially

The scale of female participation is the starting point.

According to the All India Survey on Higher Education, female enrolment in higher education rose from 1.57 crore in 2014-15 to 2.24 crore in 2023-24, an increase of 42.2%.

The Gender Parity Index reached 1.08 and remained above 1.0 for seven consecutive years. Female Gross Enrolment Ratio stood at 31.2, compared with 28.9 for men.

This is not simply a story of women catching up.

Women have become a major part of India’s higher-education system.

The change is particularly visible in science and technology. Women accounted for 44% of STEM enrolment in 2023-24, compared with 38.4% a decade earlier. Total STEM enrolment reached 1.02 crore, while women accounted for 44.9% of higher-education faculty.

At the level of STEM graduation, India’s position is even more striking. Women account for about 43% of STEM graduates at the bachelor’s level and nearly half at the master’s and doctoral levels. The research evidence identifies India as having one of the highest proportions of female STEM graduates globally.

These figures change the nature of the gender question.

It is no longer sufficient to ask whether girls are capable of entering science.

Large numbers already are.

The more difficult question is what the system does with that achievement.

The qualification-to-career gap

The contrast becomes visible when education is compared with scientific employment.

The Department of Science and Technology’s Research and Development Statistics at a Glance 2022-23 puts women’s share at 18.6% of personnel directly engaged in research and development as of April 2021.

That is dramatically below their roughly 44% representation in STEM education.

The two numbers measure different things and should not be treated as directly equivalent. But together they reveal a clear institutional gap.

Women are reaching the educational stage in much greater numbers than they are appearing in the research workforce.

That difference matters because completing a degree and establishing a career are not the same outcome.

A woman may complete a science degree, obtain a doctorate and still face a research system in which long-term opportunities are limited, recruitment is irregular or the available position requires relocation that may be difficult to undertake.

The qualification may be portable.

The opportunity often is not.

This is where the idea of a “position gap” becomes useful. The term comes from the research on India’s STEM system, where women with advanced qualifications can remain concentrated in temporary, contractual or grant-dependent positions rather than moving into stable research careers.

The problem, therefore, is not simply that women are disappearing from education.

It is that educational achievement is not being converted into employment at the same rate.

Even STEM participation is uneven

The headline figure of 44% female STEM participation also hides an important difference between disciplines.

Women account for 54.6% of enrolment in basic natural sciences, while their share in engineering and technology is only 31.1%.

This distinction matters because STEM is not a single labour market.

A degree in biology, chemistry or another general science field does not necessarily provide the same career opportunities as engineering or technology.

Therefore, asking only whether women have entered STEM can produce a misleadingly positive picture.

A better set of questions is:

Which fields are women entering?

Which fields offer durable employment?

Which qualifications lead to research, technology and higher-productivity occupations?

And finally:

Who gets to remain in those careers?

Educational equality becomes more meaningful when these later transitions are measured alongside enrolment.

The problem can start much earlier too

The later employment gap should not obscure the barriers that still operate before university.

Longitudinal evidence from Uttar Pradesh and Bihar shows that more than half of the adolescents studied discontinued education before completing Class 12, with married girls disproportionately represented among those who left.

Marriage was a major reason girls discontinued education, while boys were more likely to leave to enter the labour market. The same study found substantial differences in learning outcomes: 70% of unmarried girls and boys could read a Class 2-level story, compared with only 45% of married girls. For basic division, the corresponding figures were just over half for boys, 35% for unmarried girls and 15% for married girls.

This matters because there is no single gender barrier.

A girl may face one set of constraints while trying to remain in school, another when choosing a higher-education field, and a different set again when attempting to build a career.

Educational progress can therefore coexist with persistent barriers at specific transitions.

That is why national averages need to be read as points along a longer journey rather than as evidence that the journey itself has become equal.

The workplace can impose a different set of conditions

The transition into employment becomes particularly difficult in research.

Scientific recruitment in government research organisations can involve age limits, irregular hiring, limited vacancies and requirements tied to particular fields. For women who also face family responsibilities or geographic constraints, securing a long-term position can require several conditions to line up simultaneously.

The research source describes this as a combination of social, structural and institutional barriers.

The important point is not that women suddenly become less capable after completing their education.

It is that the conditions governing career progression can change substantially after education.

Early-career research positions may be temporary.

Career advancement can depend on maintaining a continuous record of work.

A move to another city may be professionally necessary but personally difficult.

And a career interruption can affect more than salary. It can mean lost research momentum, weaker professional networks, reduced access to funding and a harder return to a competitive field.

A qualification can survive an interruption.

A career does not always do so without a cost.

Caregiving reveals the institutional problem

Childbirth and caregiving make this tension especially visible.

The Maternity Benefit (Amendment) Act, 2017 extended paid maternity leave to 26 weeks for women with fewer than two surviving children and introduced provisions relating to crèche facilities in larger establishments.

But many researchers at the postdoctoral and early-career stages work through fellowships, project appointments or contractual arrangements that do not fit neatly into the employment relationships covered by conventional maternity protections.

This creates a difficult timing problem.

The period when a researcher may need flexibility can coincide with the period when her professional position is least secure.

Even where leave is available, returning to a research career may involve rebuilding momentum, restoring professional networks and re-establishing funding continuity.

A system built around uninterrupted progression therefore does not affect every person in the same way.

Caregiving is not exclusively a women’s issue. A father caring for a child, or anyone responsible for an ill parent, can also experience a career interruption.

But the evidence of women’s lower representation and higher attrition means that policies addressing women’s documented disadvantages remain necessary.

The more useful principle is therefore not identical treatment in every circumstance.

It is designing institutions so that a temporary interruption does not automatically become a permanent professional penalty.

Access measures can work — but they solve only one part of the problem

India has evidence that deliberate institutional intervention can change participation.

The introduction of a 20% supernumerary quota for women in IIT undergraduate engineering programmes was followed by a substantial increase in female representation. At IIT-Kanpur, the number of women rose from 908 in 2017 to 2,124 in 2024. IIT-Roorkee recorded a 76.36% increase between 2019-20 and 2024.

The significance of this experience goes beyond the quota itself.

It demonstrates that participation is not fixed.

When an institutional barrier is deliberately altered, the composition of the student population can change.

Other interventions have targeted later stages. The Department of Science and Technology has supported programmes such as GATI and WISE-KIRAN, while the Department of Biotechnology’s BioCARe programme supports women scientists returning to research after career breaks.

These measures point towards a broader lesson.

A policy designed only to increase entry can produce impressive enrolment numbers without necessarily changing what happens afterwards.

If recruitment, career progression, funding and workplace structures remain unchanged, the educational system can become more gender-balanced while the institutions receiving its graduates remain less so.

Education can create capability without creating a job

The distinction becomes even more important outside science.

Across the wider labour market, women remain less represented in regular salaried employment. The evidence base puts regular salaried employment at 18.2% for women compared with 26.5% for men, while average monthly earnings were ₹18,353 for women and ₹24,217 for men. At the same time, 64.2% of women workers were classified as self-employed, a category that can include unpaid household or agricultural work and therefore requires careful interpretation.

These figures should not be read as evidence that education has failed.

They show something else.

Education can increase capability without determining whether an economy creates suitable opportunities to use that capability.

This becomes particularly important across regions.

The evidence identifies limited safe non-farm employment and inadequate transport as possible structural constraints on women’s work participation in parts of northern India. A woman may be willing to work but still have few jobs that are practically accessible to her.

That changes the policy question.

If the problem is assumed to be a lack of aspiration, policy will focus mainly on motivation, awareness and skills.

If suitable employment itself is scarce or difficult to reach, the response must also concern where jobs are located, how safe they are, what hours they require and whether they can accommodate the realities of women’s lives.

Education can prepare a person for work.

It cannot create the work.

Tamil Nadu shows why the surrounding system matters

The regional evidence also shows why education and employment should not be examined separately.

Tamil Nadu accounts for more than 40% of India’s women factory workers despite representing only about 5–6% of the population. Its concentration of female industrial employment is associated in the evidence with sectors such as textiles, garments, footwear, electronics and automobiles, alongside higher female literacy, greater mobility, hostels and transport facilities.

The lesson is not that one State has solved the gender gap.

It is that educational attainment becomes economically useful when institutions around it provide pathways into employment.

A woman needs more than a qualification.

She needs a labour market in which that qualification can be used.

And the labour market needs institutions that make participation practically possible.

The success of enrolment should therefore be judged by what follows it

India has already demonstrated that girls can enter higher education in very large numbers.

The harder test is what happens afterwards.

A useful way to look at the complete chain is:

school retention → higher education → field choice → advanced training → recruitment → career continuity → economic agency.

Each transition has different barriers.

Some girls leave school because of marriage or household pressures.

Some enter higher education but cluster in fields with different employment prospects.

Some complete advanced scientific training but encounter limited long-term positions.

Some obtain employment but face career interruptions that carry a disproportionate professional cost.

Others may be qualified and willing to work but live in places where suitable and safe jobs are scarce.

These are not the same problem.

Treating them as one “gender gap” can therefore make policy less precise.

The objective should be to identify where the transition breaks and intervene there.

The next measure of progress is not enrolment alone

India’s educational progress for women is real.

It should not be understated.

Female enrolment has risen dramatically. Gender parity in higher education has been achieved. Women have become a major part of STEM education, and interventions such as the IIT supernumerary quota show that institutional design can alter participation.

But these achievements create a new responsibility.

The education system is increasingly preparing women who expect to participate in professional life.

The institutions beyond education have to be capable of receiving them.

That means research organisations need more predictable career pathways. Universities and laboratories need systems that account for career interruptions without turning them into permanent penalties. Recruitment needs to recognise documented structural disadvantages. And the wider economy needs more jobs that women can realistically access and sustain.

The question is therefore no longer simply whether women can enter the system.

The evidence increasingly answers that question.

The harder question is whether the system is prepared to retain, advance and economically benefit from the women it has educated.

That is where India’s next gender-and-education challenge lies.

Getting girls into classrooms changed the first part of the story.

Getting educated women into durable, rewarding and meaningful careers will determine whether that progress becomes a lasting economic transformation.