Why Making Women’s Work Visible Matters: An Economic Imperative

Every morning across the country, millions of women begin their day before sunrise – cooking, cleaning, fetching water, caring for children and elders, tending to cattle, weeding farms, or stitching garments at home. Yet when economic activity is tallied at the end of the year, much of this labour disappears from the books. It is not counted in GDP, not reflected in employment statistics, and often not acknowledged even within the family. This silence has serious consequences. Recognising and measuring women’s work is not just a feminist concern; it is an economic and policy imperative that shapes everything from wages and welfare to legal rights and household power.

What does “invisible work” actually mean?
The numbers behind the silence
Why cultural norms hide women’s contributions
The “housewife” label
The blurring of love and labour
Informality and home-based production
The economic cost of invisibility
Distorted measures of productivity
Lower labour force participation, weaker policy response
Skewed welfare and social security
From invisibility to economic dependence
Erosion of bargaining power within households
Vulnerability after life shocks
Restricted property and credit access
Why visibility is a policy imperative
Time-use surveys as policy tools
Gender-responsive budgeting
Investing in the care economy
Better laws on labour rights and social protection
What changes when women’s work is counted

What does “invisible work” actually mean?

Invisibility of work has two layers. The first is statistical invisibility – labour that is performed but not recorded in official surveys, censuses, or national accounts. The second is social invisibility – labour that is performed and seen, but not valued as “real” work because it does not generate a wage.

Globally, the line between counted and uncounted work is drawn by the System of National Accounts (SNA), the framework used to compute GDP. The SNA includes goods produced for own use within its production boundary, but excludes most services produced inside households for the household’s own consumption. Cooking a meal for your family, bathing a child, or caring for an ageing parent therefore falls outside this boundary, even though paying someone else to do exactly the same tasks would count.

Feminist economist Marilyn Waring famously argued that when international reports describe women as statistically invisible, it is the national accounts framework itself that has rendered them so. The result is a measurement system that systematically undercounts the labour of women.

The numbers behind the silence

The Ministry of Statistics and Programme Implementation’s Time Use Survey 2024 offers one of the clearest pictures of this gap. Women aged six and above spent an average of 289 minutes a day on unpaid domestic work, compared to just 88 minutes for men. The disparity in caregiving was equally stark – female participants spent about 140 minutes a day in caregiving activities, compared to 74 minutes by male participants in the 15-59 age group.

Participation rates are even more telling. The survey found that 81.5% of women were engaged in unpaid domestic services compared to only 27.1% of men, while just 20.7% of women participated in employment-related activities, compared to 60.8% of men. Globally, the picture is similar: women perform around 76% of all unpaid care work, spending an average of 201 days a year on unpaid work compared to 63 days for men.

Why cultural norms hide women’s contributions

Statistical invisibility does not exist in a vacuum. It is reinforced by deeply held social norms about who “works” and who does not.

The “housewife” label

When a rural woman spends six hours collecting fuelwood, fetching water, milking cattle, and helping in the family field, and is then asked in a survey what her occupation is, she – or, more often, a male household member answering on her behalf – typically replies “housewife.” That single word erases hours of productive economic activity. As one scholarly review puts it, the predominance of women in domestic and subsistence work keeps their labour under the shadow of invisibility, outside the production boundaries, and outside the purview of economic policy.

The blurring of love and labour

Care work is treated as an expression of affection rather than as labour. Cooking for a child, nursing a sick parent, or counselling a distressed family member are seen as duties of love. This framing makes the work culturally invisible – to demand recognition or compensation feels almost transgressive. As one feature in Outlook captured it, “Love became invisible work. Every decision, every emotional adjustment was on me.”

Informality and home-based production

A large share of women’s paid work is also hidden because it takes place inside the home – beedi-rolling, agarbatti-making, garment stitching, food processing, and digital piecework. Research on home-based workers notes that the standards for measuring the economically active population exclude many activities that involve labour inputs to services beyond the restricted SNA production boundary, leaving home-based workers – overwhelmingly women – statistically marginal even when they form a major share of urban employment.

The economic cost of invisibility

When work is invisible, it does not just go unrecognised – it shapes the entire economic order around the assumption that it is free, infinite, and unimportant.

Distorted measures of productivity

GDP, which is the principal indicator of national economic health, treats unpaid domestic and care work as a kind of free background service. Economists estimate that women and girls perform around 3.26 billion hours of unpaid care work daily, equivalent to nearly 10% of GDP, while globally Oxfam values women’s unpaid care contributions at about $10.8 trillion a year. If even a portion of this were counted, our sense of who drives the economy would shift dramatically.

Lower labour force participation, weaker policy response

The unequal burden of unpaid work is a structural reason why so few women hold paid jobs. Female labour force participation is among the lowest in the world, and the disproportionate burden of care work – childcare, eldercare, and the daily labour of sustaining households – is a fundamental constraint that is often missed in conventional discussions about skills and education. Without time-use data and recognition of care, policy responses tend to focus narrowly on training and stipends, leaving the real bottleneck – time poverty – untouched.

Most social security systems – pensions, provident funds, maternity benefits, insurance – are tied to formal employment. Women who spend decades in unpaid or informal work are systematically excluded from these benefits. Women remain concentrated in unpaid helper roles and self-employment, with limited access to regular salaried jobs, especially in rural areas, so gains in participation have not translated into better job quality.

From invisibility to economic dependence

The economic consequence of invisibility is profound: women come to be seen as dependents rather than as contributors. This framing has cascading effects.

Erosion of bargaining power within households

If a woman’s contribution is treated as “non-economic,” her say over household income, asset purchases, and major decisions tends to shrink. Economists from Silvia Federici to contemporary scholars have argued that male “economic” production was never possible without women’s uncompensated “non-economic” labour, yet the household’s earning member is still seen as the sole breadwinner.

Vulnerability after life shocks

Widowhood, divorce, abandonment, or a husband’s job loss can push a woman into severe poverty precisely because her years of unpaid work yielded no savings, no pension entitlement, and no formal employment record. Her work was real, but the system refused to register it.

Restricted property and credit access

Because women are seen as economically dependent, they have historically been less likely to own land, hold formal credit, or be considered creditworthy. Recent policy attempts – such as delinking Kisan Credit Cards from land ownership to support women farmers in accessing loans, and expanding collateral-free credit for women entrepreneurs – are precisely about chipping away at this assumption.

Why visibility is a policy imperative

Making women’s work visible is not an academic exercise. It directly determines what governments measure, fund, and protect.

Time-use surveys as policy tools

National time-use surveys are now one of the most powerful instruments for capturing unpaid work. They reveal not only how much women contribute but also where time poverty bites hardest. The South Indian state-level findings showed that women in Kerala spend seven hours and 13 minutes a day on unpaid work – the highest in the region – even though the state has some of the country’s best social indicators. Such findings force a rethink of what “development” really means.

Gender-responsive budgeting

Once unpaid work is visible, public spending can be designed around it. India introduced gender budgeting at the Union level in 2005-06, and its impact has grown over time. A 2016-17 Union Budget initiative provided free LPG connections to women in below-poverty-line households, marking the first time the Petroleum Ministry – typically perceived as gender-neutral – executed a major welfare scheme benefiting the poorest women. This shift was possible only because the policy conversation had begun to recognise women’s domestic burden as an economic concern.

Investing in the care economy

Recognising unpaid care opens up an entirely new sector for public investment. Countries that have expanded women’s workforce participation have done so by investing in care systems – accessible childcare, eldercare services, and supportive labour market policies – and such investments also create employment in their own right. Without visibility, none of this enters the budget debate.

Visibility also strengthens the case for extending labour rights to home-based workers, domestic helpers, and gig workers – categories dominated by women. As long as their labour is invisible, the laws meant to protect “workers” simply do not apply to them.

What changes when women’s work is counted

Counting women’s work transforms three things at once. Statistics begin to reflect reality: GDP, labour force participation, and productivity measures stop systematically understating the female contribution. Policies shift from welfare handouts to structural investments in care infrastructure, childcare, transport, and social security. Social attitudes begin to change too – when official data confirms that women are doing eight times as much unpaid work as men, the cultural script of the “non-working housewife” becomes harder to defend.

This is why feminist economists have insisted for decades that a reliance on data that excludes the role of unpaid household services creates blind spots and misled policy advice, where the valuable work being done by millions of women is neglected in official statistical frameworks. Recognition is the first step; redistribution and remuneration follow.

What do you think? If a single mother spends ten hours a day cooking, cleaning, and caring for her children while also stitching clothes at home for a small income, how should her work appear in our economic statistics – and what would change in her life if it did? And in your own family, whose work is taken for granted simply because it does not come with a payslip?

References

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Why Making Women’s Work Visible Matters: An Economic Imperative

Table of Contents

What does “invisible work” actually mean? 🔗

The numbers behind the silence 🔗

Why cultural norms hide women’s contributions 🔗

The “housewife” label 🔗

The blurring of love and labour 🔗

Informality and home-based production 🔗

The economic cost of invisibility 🔗

Distorted measures of productivity 🔗

Lower labour force participation, weaker policy response 🔗

Skewed welfare and social security 🔗

From invisibility to economic dependence 🔗

Erosion of bargaining power within households 🔗

Vulnerability after life shocks 🔗

Restricted property and credit access 🔗

Why visibility is a policy imperative 🔗

Time-use surveys as policy tools 🔗

Gender-responsive budgeting 🔗

Investing in the care economy 🔗

Better laws on labour rights and social protection 🔗

What changes when women’s work is counted 🔗