Why is Visibility of Women’s Work So Important?

Imagine a woman who wakes up before dawn to collect water, prepares meals for her entire family, tends to livestock, works in the fields alongside her husband, and still finds time to care for children and elderly relatives. At the end of this exhausting day, official statistics might record her as “not working.” This paradox lies at the heart of why visibility matters when it comes to women’s work.

When women’s contributions remain invisible in data and statistics, the consequences ripple far beyond mere numbers. The invisibility of women’s work distorts our understanding of the economy, undermines policy effectiveness, and perpetuates gender inequality in profound ways.

The high cost of invisibility in data and policy 🔗

Visibility isn’t just about recognition-it’s about accuracy, justice, and effective policymaking. When women’s employment within the informal sector doesn’t receive full visibility in statistics, several critical problems emerge.

First, there’s the matter of veracity. How can we design effective economic policies when we’re working with incomplete data? Around forty-four percent of women outside the labor force cite childcare and personal commitments in homemaking as their primary reason, yet this unpaid work-which enables others to participate in paid employment-remains largely uncounted in economic measures.

Second, invisibility damages women’s status in society. When crucial work is systematically defined as marginal or non-existent, the women performing this work appear dependent rather than productive. This creates a vicious cycle where women who actually support entire households through their labor are perceived as economic burdens. Think about the implications: a woman managing livestock, processing crops, and maintaining a household might be classified simply as a “homemaker” rather than as the multi-skilled worker she truly is.

The measurement gap and its real-world consequences 🔗

The measurement problem isn’t just theoretical. Women not in the labor force spend over seven hours daily on unpaid domestic tasks, while employed women spend about six hours. In stark contrast, unemployed men average under four hours daily, and employed men contribute only about three hours. This massive disparity reveals an economy built on women’s invisible contributions.

Consider what happens when planning interventions without accurate data. Policies designed to boost agricultural productivity might focus exclusively on male farmers, completely overlooking the women who perform much of the actual labor. Development programs might introduce technologies that inadvertently increase women’s workload because planners didn’t account for their existing responsibilities.

Women’s work as the foundation of all productivity 🔗

Here’s a truth that economic statistics often miss: women’s invisible work frequently serves as the precondition for all other economic activity. Before anyone goes to an office, factory, or field, someone-usually a woman-has prepared meals, cared for children, maintained the household, and ensured everyone is ready for their day.

This interconnection between household work and outside employment means that ignoring women’s contributions doesn’t just undercount their labor-it fundamentally distorts our understanding of how economies actually function. Studies estimate that unpaid work contributes approximately twenty-two point seven lakh crore rupees to the Indian economy, representing about seven and a half percent of the nation’s economic output.

The interdependence becomes even clearer when we examine specific sectors. In agriculture, women’s work in animal husbandry, crop processing, and field labor is extensive, yet data often fails to capture this contribution accurately. Women feed livestock, manage poultry, collect fodder, process harvests, and maintain agricultural operations-all while their census classification might read “attending to domestic duties.”

When technology backfires 🔗

The disconnect between reality and data can lead to what development experts call “self-defeating technology introductions.” Picture this scenario: a well-meaning program introduces mechanical grain processing to a village to reduce labor. But if planners didn’t recognize that women were doing this processing while simultaneously caring for children and preparing meals, the new technology might actually increase their burden by requiring them to travel longer distances or work at inconvenient times.

Without visibility into women’s actual work patterns and time allocation, interventions designed to help can inadvertently harm. This is why accurate data isn’t a luxury-it’s essential for effective development.

The shocking reality revealed by studies 🔗

When researchers have actually investigated women’s work patterns carefully, the results are startling. Multiple studies across India have revealed gross inaccuracies in how women’s economic participation is recorded.

Take the example of inquiries in certain districts where census data reported virtually no female workers in animal husbandry-a sector where women’s contributions are actually extensive and well-documented by ground-level observations. Research has shown that census and survey data often capture only a fraction of actual women workers, with the gap between reality and statistics sometimes exceeding fifty percent.

These aren’t minor statistical quibbles. When such massive undercounting occurs, it affects everything from resource allocation to policy priorities. Researchers examining work patterns have found that standard labor force surveys significantly underestimate women’s contribution to paid work, particularly in family enterprises where women’s labor often goes unrecognized and uncompensated.

The hidden workers of India’s economy 🔗

Consider home-based workers as an example. At least seventeen million women in India engage in home-based work, with over twelve million in non-agricultural sectors. These women produce goods and services for the market from their homes, yet their contributions frequently remain invisible in official statistics. They earn significantly less than their male counterparts-often less than half the recommended minimum wage-and lack access to social security benefits.

The measurement challenges are particularly acute for work that doesn’t fit neat categories. Women who spend shorter durations on multiple economic activities throughout the day may not get classified as workers at all, even though their total contribution is substantial. Survey methodologies that ask about “primary activity” miss the reality of women’s multi-tasking and fragmented work patterns.

Why visibility matters for the future 🔗

Making women’s work visible isn’t just about correcting historical records-it’s about building a more equitable and prosperous future. Research suggests that enhancing women’s labor force participation could potentially increase India’s national income by twenty-seven percent.

When women’s contributions become visible in data and policy, several transformations become possible. First, accurate measurement enables targeted interventions. If we know where women are working, what barriers they face, and what support they need, policies can actually address real needs rather than assumed ones.

Second, visibility challenges the gender norms that keep women’s contributions undervalued. When society recognizes that women are already working-often more hours than men when paid and unpaid work are combined-it becomes harder to justify their exclusion from formal employment, credit access, land ownership, and decision-making.

Third, proper accounting of women’s work can reshape development priorities. The economic value of women’s unpaid domestic and care work is estimated to contribute fifteen to seventeen percent of national income if properly accounted for. This massive contribution deserves recognition in how resources are allocated and policies are designed.

The path forward 🔗

Progress is happening, albeit slowly. International partnerships working with government have helped improve data collection methods, leading to better capture of women’s economic contributions in census exercises. More nuanced survey questions, longer reference periods, and better training of data collectors are beginning to reveal the true extent of women’s work.

But measurement is only the first step. The deeper goal is transforming how society values care work, domestic labor, and women’s economic contributions. This requires moving beyond seeing women primarily as caregivers to recognizing them as economic agents who deserve equal rights, fair compensation, and genuine opportunities.

What do you think? How might your own community’s understanding of “work” change if all unpaid labor were made visible and valued? What policies would you prioritize if you had accurate data on both paid and unpaid contributions to your local economy?

References

1. https://www.researchgate.net/publication/337462622_The_Invisible_Workers_Capturing_Home-based_Work_in_India
2. https://dge.gov.in/dge/sites/default/files/2023-05/Female_Labour_Utilization_in_India_April_2023_final__1_-pages-1-2-merged__1_.pdf
3. https://www.drishtiias.com/daily-updates/daily-news-analysis/recognising-the-economic-value-of-unpaid-work-in-india
4. https://cepr.org/voxeu/columns/indian-women-are-not-dropping-out-paid-work-voluntarily
5. https://www.indiaspend.com/employment/indias-invisible-workforce-women-home-based-workers-paid-little-have-no-legal-protection-864350
6. https://static.pib.gov.in/WriteReadData/specificdocs/documents/2024/mar/doc202435319501.pdf
7. https://asiapacific.unwomen.org/en/countries/india/result-at-a-glance