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Subject: Women

  • India’s Gendered Clock: 7.5 Hours for Women, Just 65 Minutes for Men

    Why in the News

    India’s Time Use Survey (2025) shows the time women spend on housework rising from about age 10 to a peak of nearly 460 minutes a day, over 7.5 hours, around age 30, while the male curve never crosses 65 minutes at any age between six and 75. The gap is not created by marriage or motherhood, it is assembled in childhood, which places it outside the reach of policies aimed at adult women.

    What is the Time Use Survey?

    1. About: The Time Use Survey is a national household survey conducted by the National Statistics Office under the Ministry of Statistics and Programme Implementation, which records how members of a household allocate their 24 hours across activities on a reference day.
    2. What it captures: It measures activities that no other survey counts, including unpaid domestic services, unpaid caregiving, learning, leisure, self care and volunteer work, alongside paid employment.
    3. Why it exists: Employment surveys count only work inside the production boundary, so time spent cooking or caring for a child disappears from official statistics unless a time use survey records it.

    What is unpaid domestic and caregiving work?

    1. About: Unpaid domestic and caregiving work covers cooking, cleaning, laundry, shopping, collection of water and fuel, minor repairs, and the care of children, the sick and the elderly performed for one’s own household without payment.
    2. Its statistical treatment: These services are produced by households for their own consumption and fall outside the production boundary of the System of National Accounts, so they contribute nothing to measured Gross Domestic Product despite being economically essential.

    What is the Periodic Labour Force Survey?

    1. About: The Periodic Labour Force Survey (PLFS) is the National Statistics Office’s regular survey of employment and unemployment, which estimates the labour force participation rate, worker population ratio and unemployment rate.
    2. Its relevance here: It records the reason given for staying outside the labour force, which is where unpaid domestic responsibility appears as a measured cause of women’s non participation.

    What does the lifetime housework curve show?

    1. The female curve: Time spent on housework begins to rise around age 10, continues through the late teens and twenties, and peaks at nearly 460 minutes a day, over 7.5 hours, around age 30.
    2. The male curve: It never crosses 65 minutes at any age between six and 75, so there is no stage of the male life cycle at which domestic work becomes a substantial claim on time.
    3. Timing of the peak: The peak falls in the prime working years, which is precisely when paid work, promotion and enterprise building compete for the same hours.
    4. The continuity point: Adolescence is not separate from adulthood in this data, it is the stage at which the adult pattern begins to take shape.

    How early does the gender gap in domestic work open?

    1. Parity at age six: Indian boys and girls both spend about five minutes a day on domestic and care work at age six, and their trajectories remain close through early childhood.
    2. The girls’ curve: Girls spend about 15 minutes a day at age 10, 75 minutes at 15, and around 130 minutes by 17.
    3. The boys’ curve: Boys move from roughly five minutes at age six to only about 17 minutes by the end of childhood.
    4. The widening ratio: The girl to boy ratio in unpaid work rises from 1.6 among children aged 6 to 9, to 4.5 among those aged 10 to 14, and to 7.5 among adolescents aged 15 to 17.
    5. The divergence point: The curves separate sharply from around age 10, which is the same age at which the adult female housework curve begins its climb.

    Why is leisure, not schooling, the real cost?

    1. The trade off is usually framed wrongly: The cost of girls’ domestic work is normally argued as a trade off with schooling and education, and the data does not support that framing.
    2. Girls are not losing study time: Girls spend slightly more time on learning than boys at most ages, so they remain in school while carrying the additional work.
    3. Leisure absorbs the burden: Between ages six and 17, girls’ housework rises by roughly 124 minutes a day while their leisure time falls by around 115 minutes a day.
    4. The boys’ pattern: For boys the decline in leisure is much smaller and the time spent on housework changes relatively little.
    5. Why leisure is not residual: Sport, friendships, rest and exploration are how children build confidence, social networks, physical capability and a sense of agency, all of which shape later career trajectories.
    6. The measurement blind spot: School enrolment and learning outcome data register no problem at all, because the loss is entirely in discretionary time.

    Why does cooking sit at the centre of the divergence?

    1. Participation gap in cooking: Among adolescents aged 15 to 17, 42.4 percent of girls report cooking, against only 2.9 percent of boys.
    2. Time gap in cooking: Girls in this age group spend close to an hour cooking, while boys spend just two minutes.
    3. Other gendered tasks: Cleaning and laundry also become increasingly gendered through adolescence, with wide gaps in both participation and time spent.
    4. Where boys match or exceed girls: The only tasks are farm work and shopping, which are outward facing towards the field and the market rather than inward facing into the kitchen.
    5. The full task set measured: Participation is recorded across childcare, cleaning, cooking, farm work, laundry, repairs, shopping and collection of water and fuel, and the inward facing tasks are the ones that carry the gap.
    6. What the allocation trains: Girls are being trained for the household and boys for the world outside, which is how the pattern later appears as an efficient gendered allocation of household work.

    How does childhood conditioning surface in the labour market?

    1. The stated reason for non participation: In the 2025 PLFS, childcare and domestic responsibilities were the single most cited reason women gave for staying out of the labour force.
    2. The urban and rural split: The reason was reported by 52.5 percent of urban women and 40 percent of rural women.
    3. The male comparison: Less than 1 percent of men gave the same reason, so the constraint is not a household constraint but a gendered one.
    4. The field observation behind the data: Among rural women in Haryana aspiring to become entrepreneurs, the biggest practical constraint on doing more paid work was time tied up in cooking and household chores, and their daughters rather than their sons were already sharing that burden.

    Why do current policy interventions arrive too late?

    1. Where policy currently intervenes: Most interventions address women’s unpaid work in adulthood, through childcare services, community kitchens, safe mobility infrastructure, flexible work and social protection.
    2. What that misses: The unequal assignment of domestic work between boys and girls has already been completed before any of these instruments touch a woman’s life.
    3. The correct objective: The aim is not to remove domestic work from children’s lives, but to remove its gender assignment.
    4. The school as the instrument: Schools can give every child, boy or girl, equal opportunity to learn practical life skills, from cooking and home management to stitching, carpentry and financial management.
    5. The gap in India’s own success: India has invested heavily in keeping girls in school and improving their educational outcomes, and paid no comparable attention to what happens to their time outside school.

    Challenges to removing the gender assignment of domestic work

    1. Norms are transmitted inside the household, where policy has no instrument: No scheme reaches the daily decision about which child is called into the kitchen. e.g. mothers in rural Haryana who identified their own time poverty still passed the chores to daughters rather than sons.
    2. The burden is invisible in every headline indicator: Enrolment, learning outcomes and even attendance stay unaffected while leisure collapses. e.g. girls in the survey spend slightly more time learning than boys even while doing seven times the domestic work at 15 to 17.
    3. Infrastructure deficits convert directly into girls’ time: Where water, fuel and sanitation are distant, the collection task falls on girls. e.g. households without piped water where fetching water is a daily pre school chore.
    4. School curricula reinforce the split rather than break it: Vocational and life skill options remain gender typed in practice. e.g. home science and tailoring offered to girls while carpentry, electrical work and workshop practice fill with boys.
    5. Measurement is infrequent: Time use data arrives too rarely to evaluate whether an intervention shifted the allocation. e.g. India ran a pilot time use survey in 1998 to 1999 and its first full national round only two decades later.
    6. Care substitutes are absent for adolescent siblings: Where creche and elder care services are missing, the eldest daughter becomes the default carer. e.g. adolescent girls withdrawn from leisure and play to mind younger siblings while parents do wage work.
    7. Employment law does not reach unpaid household work: No labour statute assigns rights, hours or rest to domestic work performed inside one’s own home. e.g. maternity and creche entitlements under labour law apply to formal employment, covering a small minority of working women.

    Conclusion

    The gender gap in unpaid work is not a marriage effect or a motherhood effect, it is set in place between the ages of 10 and 17 and simply expands afterwards to 7.5 hours a day by age 30. The price girls pay is measured in leisure rather than schooling, which is why India’s success in keeping girls in school has concealed it. Policy instruments built for adult women arrive after the allocation is fixed. The intervention point is the childhood assignment of domestic tasks, and schools that teach cooking, home management, carpentry and financial management to every child are the instrument available now.

    [2024, GS1, 10 marks] Distinguish between gender equality, gender equity and women’s empowerment. Why is it important to take gender concerns into account in programme design and implementation?

  • A growth story that needs women at work

    Mentor’s Comment

    With India’s youth unemployment already double its 2012 rate and GDP growth slower than official figures suggest, critics argue that India cannot sustain rapid growth or reach Viksit Bharat by 2047 while excluding half its population, women, from productive work.

    Why does raising female work participation matter for growth itself, not just for equity?

    1. Direct growth arithmetic: A 10 percentage point rise in India’s female Work Participation Rate (WPR) could add nearly two percentage points to GDP growth.
    2. Labour supply channel: More women in paid work expands the economy’s productive capacity and raises household incomes, consumption, and savings.
    3. Human capital channel: Higher household incomes from women’s earnings improve children’s nutrition, education, and healthcare, strengthening long term human capital.
    4. Productivity channel: Citing Nobel laureate Claudia Goldin, gender diverse workplaces are more efficient, creative, and competitive, making women’s inclusion a productivity strategy, not only a welfare measure.

    What explains the decline and stagnation in women’s work participation since the 1980s?

    1. Structural shift away from farming: As structural transformation reduced agriculture’s role between 2004-05 and 2012, mechanisation and falling demand for manual labour pushed rural women out of the workforce.
    2. The COVID reversal was distress, not choice: Post-2020 gains in women’s participation followed a GDP slowdown since 2017; return migration from cities pushed women into unpaid family labour in subsistence agriculture, a “distress driven feminisation of agriculture.”
    3. Capital intensive growth excludes women: India’s recent GDP growth has concentrated in capital intensive sectors like finance and information technology, which absorb few workers, while labour intensive sectors such as textiles and garments saw absolute employment fall between 2013 and 2019.
    4. Manufacturing’s broken promise: Fewer women were employed in manufacturing in 2019 than in 2004, despite Make in India and Performance-Linked Incentive (PLI) schemes; women’s manufacturing employment did not recover to 2004 levels until 2022.

    Why does Tamil Nadu succeed where most of India does not?

    1. Tamil Nadu’s outsized concentration: More than 40% of India’s women factory workers are employed in Tamil Nadu, a state with only 5% to 6% of India’s population.
    2. Sectoral base: This concentration rests on strong textile and garment hubs in Tiruppur and Coimbatore, footwear, electronics assembly in Sriperumbudur, and automobile components.
    3. Enabling conditions: Higher female literacy, greater mobility, and well developed hostel and transport facilities for women workers underpin the sector’s ability to employ women at scale.
    4. The Hindi belt contrast: States there need investment in health (not merely insurance) and public education for girls and women to bring down malnutrition and stunting before they can replicate Tamil Nadu’s outcomes.

    Conclusion

    India’s growth story is incomplete without raising female work participation, and the deficit is concentrated in exactly the sectors, labour intensive manufacturing, that once absorbed women workers and have since collapsed for them. Closing the north-south divide by replicating Tamil Nadu’s combination of sectoral investment, education, and mobility infrastructure is presented as the precondition for India to be “Viksit” by 2047.

    Back2Basics

    1. Work Participation Rate (WPR): The proportion of the population that is economically active (working or seeking work); distinct from the unemployment rate, which measures only those seeking work among the labour force.
    2. U-shaped curve (Claudia Goldin): The empirical pattern where female labour force participation first falls as an economy industrialises and household incomes rise, then rises again as education and the services sector expand, a pattern India’s data through 2018-19 is shown to follow.

    Question (2014): Discuss the various economic and socio-cultural forces that are driving increasing feminization of agriculture in India.

  • Women’s movement in India has not addressed the issues of women of lower social strata. Substantiate your view.

    “I measure the progress of a community by the degree of progress which women have achieved.” – Dr. B.R. Ambedkar

    Major women movements in India

    Anti-Sati Movement led by Raja Ram Mohan Roy.

    Satyashodhak Samaj led by Savitribai and Jyotirao Phule pioneered female education

    Anti-Dowry Campaigns (1980s)- Led by groups like Mahila Dakshata Samiti

    Women’s Indian Association first to demand women’s suffrage

    SEWA – Founded by Ela Bhatt, organized women in SHG and trade unions

    Mathura Rape Case Protest (1979-80)- led to first major amendment in Rape Laws

    Triple Talaq Movement led by the Bharatiya Muslim Mahila Andolan (BMMA)

    Chipko Movement- Led by women like Gaura Devi

    Navdanya Movement (Vandana Shiva) – empowers women to preserve biodiversity and seeds

    #MeToo Movement – against sexual harassment at workplace

    However, they failed to address the issues of women of lower strata

    It failed to recognise the triple burden of discrimination (intersection of Caste, Class, and Gender) as it treated “Woman” as a monolithic category. Eg- Hatras rape case

    Intersection of gender and religious marginalization was weakly addressed. Eg- Muslim women’s socio-economic exclusion received less attention beyond advocacy of UCC and Triple Talaq

    Leadership and agenda dominated by elite women – Early focus on legal reforms like dowry and workplace equality over survival issues like hunger and wage security.

    Limited focus on informal and unpaid work – Eg- more focuses on “glass ceilings” in corporate offices, neglecting agricultural laborers. (Over 90% of Dalit women work in the unorganized sector.)

    Urban bias in issues and mobilization – Eg- Rural women’s access to drinking water, fuelwood, and sanitation remained peripheral.

    Inadequate engagement with tribal women’s concerns – Development-induced displacement received limited feminist mobilization.

    Neglect of women issues in conflict zones – Eg- Women in Kashmir and the Northeast did not become sustained focal points of mainstream movements.

    Dependence on NGO-ization and donor agendas – Project-driven advocacy replaced mass mobilization among poor women.

    Educational Exclusion- Elite feminism focuses on “STEM representation,” while lower-strata women struggle with basic literacy and school dropouts.

    Health Disparities- feminist debates revolve around “reproductive choice” (abortion rights), while marginalized women face lack of basic maternal healthcare.

    Language Barrier- Feminist discourse is largely in English, creating a “vocabulary of exclusion” for rural, non-English speaking women.

    Digital Divide- “Hashtag Activism” (#MeToo) failed to reach rural women due to digital illiteracy.

    Counter-Argument- Positive Impacts on the Lower Strata

    Grassroots Political Entry- Eg- women representation in PRIs stands at 46%

    SHGs- NABARD-led SHG movement has empowered millions of rural women through micro-credit and financial literacy. Eg- Kudumbshree in Kerala

    Legal empowerment-

    SC/ST Prevention of Atrocities Act.

    Right to temple entry after Sabrimala Verdict

    Triple Talaq ban

    Anti-Liquor Movements led by poor women to save household income and reduce domestic abuse. Eg- Arrack Movement in Nellore, Andhra Pradesh

    Eco-Feminism- Chipko Movement was essentially a struggle by rural women for their daily fuel and fodder resources.

    Labor Reforms- SEWA model has successfully unionized thousands of street vendors and ragpickers.

    Dalit Feminism- rise of autonomous groups like the National Federation of Dalit Women (NFDW).

    Way Forward

    Adopting an “Intersectionality Lens” that acknowledges caste and class alongside gender in every policy.

    Caste-Gender Sensitivity Training for police and judiciary

    Mainstreaming Gender Budgeting

    De-NGO-ization – Revive grassroots feminist politics.

    Only by embracing a “Bahujan Feminism” can the movement fulfill Ambedkar’s vision of a truly progressive and equal society.

  • “Empowering women is the key to control population growth”. Discuss (10m,150 words)

    “There is no tool for development more effective than the empowerment of women.” – Kofi Annan

    The 1994 Cairo International Conference on Population and Development (ICPD), moved the focus of population policy away from “target-driven” approach to “rights-based” empowerment.

    Inverse Correlation of Education and TFR – According to NFHS-5 (2021-23), women with no schooling have a TFR of 2.8, while those with 12+ years of schooling have a TFR of 1.8.

    The “Kerala Model” shows that high female literacy leads to low Infant Mortality Rates (IMR), reducing the need for “extra” children as insurance.

    Economic Independence – Working women prioritise quality of life over large families.

    As women enter the formal workforce, the “Opportunity Cost” of child-rearing in terms of lost wages and career progression rises, leading to preference for smaller families.

    Delay in Age of Marriage shortens the biological fertility window. Eg- average age of marriage for women with professional degrees is 27 years.

    Greater Birth Spacing awareness among educated and employed women

    Digital literacy allows women to access family planning information and tele-health services privately, bypassing social taboos.

    Enhanced Reproductive Agency – Amartya Sen argues that “Women’s Agency” is more effective than any state-mandated policy, as it transforms women into active decision-makers.

    Breakdown of Traditional Gender Roles – Empowerment challenges the notion that a woman’s primary value is reproductive and also reduces Son Preference

    Global Precedence – Bangladesh’s success in dropping TFR from 6.7 in 1960 to 2.1 in 2017 was driven by micro-finance and female education.

    Increase in Political Participation of Women – Women leaders prioritise health, education, and family welfare.

    Challenges to this Approach

    Persistent “Son Meta-Preference”

    Prevalence of child marriage – 23.3% of women were married before age 18 years. (NFHS-5)

    Stigmatization of male sterilization. Eg- 37.9% of women undergoing sterilization compared to only 0.3% of men. (NFHS-5)

    Religious and Cultural Dogma – In certain conservative pockets, empowerment is viewed as an “attack on tradition,” leading to resistance against family planning.

    Lack of Old-Age Social Security for informal sector workers – children are seen as “economic assets” for old age

    Structural Barriers in Healthcare – Rural Health Statistics report shows a 75%% shortage of female gynecologists in Community Health Centers (CHCs).

    Dual Burden – women spend 300% more time on unpaid care work than men (Time Use Survey).

    Sustainable population control will emerge not from coercion, but from choice, dignity, and equality for women. This can be achieved through

    Promoting Male Engagement

    Universal old-age pension

    Entrepreneurship under Stand-up India

    Empowering ASHA workers

  • What are the continued challenges for women in India against time and space? (15m,250 words)

    Despite constitutional guarantees, legal reforms, and social movements, women in India continue to face persistent challenges that transcend historical periods and vary across geographies and social locations.

    Challenges across time

    Patriarchal social norms – Enduring preference for male authority and control over women. Eg- son meta preference

    Control over female sexuality – Moral policing, honour-based violence, restrictions on marriage choices.

    Child Marriages – 23% (NFHS-5)

    Khap panchayats restricting wearing jeans etc

    Unequal care burden – women spend an average of 305 minutes daily on unpaid domestic work, compared to only 98 minutes for men.

    Educational discontinuity due to marriage and caregiving. Eg- Higher dropout rates among adolescent girls.

    Economic marginalization

    Women constitute 63% of agriculture workforce but own only 13% of land

    Low FLFPR – 41% in India vs 71% in China

    Violence against women – domestic violence, workplace harassment etc. Eg- Nirbhaya Case

    Legal-social gap – Eg- proxy representation in PRIs (Sarpanch Pati syndrome)

    Challenges across life-cycle stages

    Before Birth – female foeticide

    Childhood and adolescent stage – Nutrition neglect (57% anemia), high dropouts

    Adulthood – Maternal health and autonomy issues. Eg- early pregnancies.

    Elderly women’s vulnerability – Loneliness, poverty, and lack of social security

    Challenges across space

    Rural-urban divide

    Limited mobility in rural areas due to safety and norms.

    Safety concerns and informal employment in cities.

    Caste and community-based challenges

    Caste-based violence – Gender violence used as social control. Eg- Hatras rape case

    Mining and infrastructure-induced displacement of Tribal women

    Minority women’s double marginalization – Eg- Muslim women’s low labour force participation.

    Challenges in Economic space

    Concentration in low paying care and domestic work

    Glass ceiling effect – discrimination and low representation at higher positions

    Digital Divide – 51.6% of women aged 15 years and above in rural areas do not own a mobile phone (NSO)

    Regional and cultural disparities

    Regional inequality – Eg- Higher TFR in Bihar (3.0 vs national average of 1.9)

    Violence in conflict zones – Eg- gang-rape and naked parade of two Kuki-Zo women in Manipur

    Improvements made

    Political

    Nari Shakti Vandan Adhiniyam

    46% representation in PRIs

    Legal-

    stringent and gender-sensitive provisions in Bhartiya Nyaya Sanhita

    PCPNDT and POSH Acts

    Health – Institutional Deliveries increased from 78.9% (NFHS-4) to 88.6% (NFHS-5).

    Education- women constitute 43% of STEM graduates.

    Economic- Over 28 crore women now have personal Jan Dhan accounts.

    Asset Ownership- Under PM Awas Yojana, 70% of houses are registered in the name of women.

    Way Forward

    Mainstreaming gender budgeting

    Expand One Stop Centres (OSCs) under Mission Shakti for integrated support services

    Introduce gender sensitisation modules in school curricula nationwide.

    Comprehensive Healthcare

    Expand coverage and financial incentives under Janani Suraksha Yojana and PM Matru Vandana Yojana

    Leverage digital health tools like MP’s SUMAN SAKHI chatbot to provide real-time support to expecting mothers.

    Women-Centric Urban Infrastructure- Eg- “Sakhi Niwas” hostels for working women

    Thus, sustainable gender justice requires simultaneous expansion of resources, agency, and participation.

  • Examine the role of ‘Gig Economy’ in the process of empowerment of women in India. (150 words)

    Gig Economy refers to a labor market characterized by the prevalence of short-term contracts or freelance work as opposed to permanent jobs.

    Role of Gig Economy in Women Empowerment

    Work-Life Integration- Gig work offers flexible hours, allowing women to balance the “Double Burden” (41% of Indian women are primary caregivers).

    Economic Autonomy- It provides a direct source of income for women in Tier-II and Tier-III cities where formal job opportunities are scarce.

    Formalizing Informal Skills- Platforms like Urban Company have professionalized domestic skills. Eg- beauticians, cleaning.

    Bypassing Social Gatekeepers- Digital platforms allow women to access work directly, reducing dependence on male family members.

    Financial Inclusion- Gig platforms mandate digital payments into personal bank accounts, enabling women to build a “credit history” for small business loans.

    Safety through Technology- Features like real-time GPS tracking, SOS buttons provide a sense of security for women working in transit-heavy roles. Eg- zomato delivery

    Upskilling Opportunities- Many platforms provide vocational training.

    Re-entry into Workforce- Gig work provides a low-barrier entry point for women returning from “maternity breaks”.

    Global Market Access- High-skill gig workers serve international clients via platforms like Upwork or Fiverr.

    Collective Bargaining- rise of unions like the Gig and Platform Services Workers Union (GIPSWU). Eg- Diwali ‘digital strike’ by female gig workers in 2024

    Challenges for Women in the Gig Economy

    Digital Divide- 51.6% of women aged 15 years and above in rural areas do not own a mobile phone (NSO)

    Lack of Social Security- Eg- excluded from the Maternity Benefit Act and paid sick leaves.

    Wage Disparity- 40% of gig workers earn below ₹15,000/month, and women often earn less due to an inability to work “high-incentive” late-night hours.

    Occupational Segregation- women confined to beauty and care while men dominate higher-paying delivery and ride-hailing sectors.

    Safety Risks- Women in home-service gigs face risks of harassment and customer misconduct

    Gig platforms classify women as ‘independent contractors’ – excluded from protections under POSH Act

    Way Forward

    Adopting global best practices – Eg- Platform Work Directive (EU)

    Skill Diversification- Government-led missions to train women in sectors like EV-cab driving and tech-maintenance to break occupational silos.

    Algorithmic Accountability– Transparency and fairness in digital management systems that control job assignments, worker ratings, and payouts.

    A multi-stakeholder approach is necessary to turn the gig economy from a place of exploitation to one of opportunity for women.