Every day, billions of hours go into cooking meals, caring for children, cleaning homes, and supporting elderly family members. This work keeps households running and economies functioning. Yet when governments calculate their national wealth and economic output, most of this labor doesn’t count. Unpaid care and domestic work represents between 10 and 39 percent of GDP globally, yet it remains invisible in official economic statistics. Understanding how the care economy fuels national economic growth requires looking beyond traditional measures to see the full picture of what truly drives prosperity.

Table of Contents

The economic value of unpaid care work

The numbers tell a striking story. Globally, around 16.4 billion hours are devoted to unpaid care work daily, equivalent to 2 billion people working full-time with no remuneration. If this work were compensated at minimum wage rates, it would represent 9 percent of global GDP, amounting to $11 trillion.

This contribution varies significantly across regions. In Latin America and the Caribbean, unpaid care work represents approximately 21.4 percent of GDP, while in some countries this figure reaches over 40 percent. India’s unpaid care work is estimated at 39 percent of GDP, demonstrating how this hidden labor forms a massive pillar of national economies.

The gender dimension cannot be ignored. Women globally perform three-quarters of unpaid care work, dedicating an average of 4 hours and 25 minutes per day compared to men’s 1 hour and 23 minutes. Women’s contribution alone accounts for approximately 6.6 percent of global GDP, while men’s contribution stands at 2.4 percent.

How unpaid care work sustains labor markets

Care work makes all other jobs possible. When children are fed, clothed, and supervised, when elderly parents receive assistance with daily tasks, when homes are maintained and meals are prepared, other household members can participate in the paid workforce. This fundamental relationship between unpaid care and formal employment creates what economists call the backbone of labor markets.

Consider a simple reality: without someone caring for children, parents cannot go to work. Without eldercare, adult children must leave their jobs to provide support. In 2023, an estimated 708 million women worldwide were outside the labor force because of unpaid care responsibilities, representing a third of all working-age persons not participating in employment. Among women aged 25 to 54, two-thirds cite care as the reason for being outside the workforce.

Research demonstrates clear economic returns when this burden is addressed. Expanding access to childcare increases women’s labor force participation by about 1 percentage point initially, and this impact doubles over five years. A $1.3 trillion investment in social jobs such as the care economy would result in a $3.1 trillion GDP return and create more than 10 million jobs in the United States alone.

The workforce productivity connection runs deeper than mere participation rates. A well-functioning care economy contributes to a healthier workforce, creates jobs, and enhances productivity. When workers have adequate support for their care responsibilities, they experience less stress, fewer absences, and greater focus during work hours.

The dual burden and economic consequences

Many women face what researchers call the dual burden, combining paid employment with disproportionate unpaid care responsibilities. This creates significant economic consequences beyond immediate earnings. Family caregivers lose an estimated $300,000 in lifetime earnings, which reduces social security contributions, pension savings, and retirement security.

During the COVID-19 pandemic, this dynamic became starkly visible. Mothers were three times more likely than fathers to take on most additional unpaid care work following school closures, and many mothers left the labor force entirely. Women’s employment in Canada dropped to 55 percent in April 2020, the lowest level since the 1980s.

The risks of ignoring the care economy

When economic calculations exclude unpaid care work, the consequences extend far beyond statistical inaccuracy. Without unpaid services being measured and valued, predictions are likely to be faulty, models inaccurate, and development policies flawed.

Consider what happens when policymakers make decisions based on incomplete data. They cannot see that GDP ignores almost all non-monetary production, such as childcare or volunteerism, and the work done at home. This creates blind spots in understanding how the economy actually functions and who contributes to its operation.

Policy failures and misallocated resources

Fixation on GDP-oriented growth has led to government policies that directly harm women, particularly through austerity cuts to public services. When care work remains invisible, governments fail to invest adequately in childcare facilities, eldercare services, and family support systems. These gaps force individuals, predominantly women, to fill them through unpaid labor.

The economic modeling problems compound over time. When unpaid care work goes unmeasured, economists and planners cannot accurately forecast labor supply, understand productivity patterns, or design effective social policies. Reliance on data that excludes unpaid household services creates blind spots and misleads policy advice, causing policymakers to neglect valuable work already being performed.

The gender wage gap illustrates this dynamic clearly. Research confirms a statistically significant relationship between the gender gap in unpaid work and the gender wage gap. When women carry disproportionate care responsibilities, they often work part-time, take career breaks, or choose jobs with flexible hours but lower advancement opportunities. Traditional GDP metrics capture none of this structural inequality.

Including care work in national economic indicators

Several methodologies exist for integrating unpaid care work into economic measurements without completely overhauling existing systems. The most widely adopted approach uses satellite accounts.

Satellite accounts as a practical solution

The System of National Accounts recommends using satellite accounts to record unpaid household work, creating parallel systems that track this value using established methodologies while keeping traditional GDP measures intact for international comparisons. This approach allows countries to understand the full economic picture without disrupting decades of comparable data.

The United Kingdom’s Household Satellite Account found that unpaid household services were worth £1.7 trillion, or 61 percent of GDP in 2023. This figure peaked during the COVID-19 pandemic at 66 percent of GDP in 2020, revealing how crises shift work from formal to informal sectors.

Mexico established a Household Satellite Account to quantify unpaid care labor traditionally undertaken by women, enabling the government to develop more comprehensive economic policies. South Korea similarly developed satellite accounts using time-use survey data, which have been instrumental in recognizing the value of unpaid care work and addressing structural gender inequalities.

Valuation methods and time-use surveys

Two primary methods exist for valuing unpaid work. The replacement cost method calculates how much it would cost to hire someone to perform the same tasks-essentially asking what a cook, cleaner, or childcare worker would charge. The opportunity cost method estimates what the person could have earned in paid employment during those hours.

Both approaches require robust data collection through time-use surveys. SDG target 5.4 calls for investment in gender-disaggregated data collection and statistics on paid and unpaid care work, particularly time-use data. However, fewer than half of UN member states have conducted at least one time-use survey since 2000, leaving significant data gaps.

Countries that have implemented these surveys gain crucial insights. India’s first national Time Use Survey in 2019 revealed that women spent 305 minutes daily on unpaid domestic work, nearly six times more than men’s 56 minutes. This data provides the foundation for calculating economic contributions and designing targeted interventions.

Moving toward comprehensive economic measurement

Integrating care work into national accounts requires more than technical adjustments. It demands recognition that care work is work, that it must be valued and redistributed, and that care workers deserve compensation and representation. Several countries include unpaid care work as household satellite accounts of their national accounts, providing estimates of the total economic contribution.

The goal extends beyond measurement to transformation. Better data enables evidence-based policies on parental leave, childcare subsidies, eldercare support, and infrastructure investments. When policymakers can see that care work represents substantial economic value, they can make informed decisions about resource allocation and social support systems.

This integration also supports broader movements toward alternative measures of economic progress. While GDP measures market transactions, indicators like the Genuine Progress Indicator explicitly include additions for the value of household work and parenting, providing a more holistic view of societal well-being.

What do you think? How might your own community or country benefit from officially recognizing and measuring unpaid care work? What changes would you expect to see if economic policies were designed with the full value of care work in mind?

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References
  1. https://www.unwomen.org/en/news/in-focus/csw61/redistribute-unpaid-work
  2. https://www.ilo.org/resource/news/unpaid-care-work-prevents-708-million-women-participating-labour-market
  3. https://ilostat.ilo.org/topics/unpaid-work/measuring-unpaid-domestic-and-care-work/
  4. https://www.undp.org/latin-america/blog/missing-piece-valuing-womens-unrecognized-contribution-economy
  5. https://www.apec.org/publications/2022/03/unpaid-care-and-domestic-work-counting-the-costs
  6. https://www.weforum.org/stories/2024/10/caring-care-economy-key-growth-and-well-being/
  7. https://www.ilo.org/publications/advancing-decent-work-and-care-economy-essential-component-social
  8. https://fortune.com/2022/04/28/eve-rodsky-unpaid-labor-part-of-gdp-by-2030/
  9. https://payequity.gov.on.ca/time-to-care-recognising-the-truth-behind-the-economy-of-unpaid-care/
  10. https://www.tandfonline.com/doi/full/10.1080/13563467.2019.1680964
  11. https://www.sciencedirect.com/science/article/abs/pii/S0959652614010932
  12. https://views-voices.oxfam.org.uk/2023/08/a-flawed-gdp-bypasses-womens-unpaid-care-work/
  13. https://www.tandfonline.com/doi/pdf/10.1080/13563467.2025.2599190
  14. https://www.economy.com/getfile?q=12205E68-6FDC-4C35-979C-EDEF18CE149F&app=download
  15. https://www.abs.gov.au/statistics/detailed-methodology-information/concepts-sources-methods/australian-system-national-accounts-concepts-sources-and-methods/2020-21/chapter-23-satellite-accounts/household-satellite-account-and-unpaid-work
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Issues of Gender and Development

1 Gender-Basic Concepts I

  1. Power
  2. Subordination
  3. Empowerment
  4. Discrimination
  5. Entitlement
  6. Women in Development (WID)
  7. Gender Mainstreaming
  8. Literacy Gender Parity Index (GPI)
  9. Gender and Development
  10. Gender Budgeting
  11. Gender Auditing
  12. Gender-Related Development Index and Gender Empowerment Measure
  13. Gender Blind Approach
  14. Rights-Based Approach
  15. Strategic Gender Needs
  16. Practical Gender Needs
  17. Gender Analysis
  18. Gender Gap Index
  19. Gender Policy
  20. Gender Inequality Index

2 Gender- Basic Concepts II

  1. Patriarchy
  2. Matriarchy
  3. Feminism
  4. Postcolonialism
  5. Post Modernism
  6. Nation-State
  7. Trends in Feminism
  8. Liberal Feminism
  9. Marxist Feminism
  10. Socialist Feminism
  11. Psychoanalytic Feminism
  12. Black Feminism
  13. Ecofeminism
  14. Womanism
  15. Postmodernist Feminism
  16. Postcolonial Feminism
  17. Dalit Feminism

3 Feminism in Development-The Gender and Development Context

  1. Feminism in Development Discourse
  2. Emerging Realities and Conceptual Frameworks
  3. Gender Mainstreaming and Organizational Change
  4. Rights-Based Approaches in Gender Development
  5. The Gender and Development Approach (GAD)
  6. Analysis of Gender-Focused Development Schemes

4 Care economy and Feminization of Labour

  1. Women in the Household
  2. Gender and Domestic Work
  3. Introduction to the Care Economy
  4. Women Care Providers
  5. Gender in Care Economy
  6. Role of the Care Economy in the National Economy
  7. Economics of Care Economy
  8. Terms Used in the Care Economy

5 Feminist Debate on Development

  1. Theories of Development and their Feminist Critiques
  2. Welfare – Precursor to Women in Development
  3. Women in Development
  4. Women and Development
  5. Gender and Development

6 WID-WAD-GAD

  1. Concepts of Development and Underdevelopment
  2. Boserup’s Thesis
  3. Emergence of Women in Development (WID) Approach
  4. Three World Conferences on Women
  5. Women and Development (WAD) Approach
  6. Gender and Development (GAD) Approach
  7. Fourth World Conference on Women

7 GAD Indicators

  1. Background to GAD Indicators
  2. The Millennium Development Goals
  3. Examples of Gender Indicators
  4. UNESCAP’s Framework on the Beijing Platform
  5. Social Institutions and Gender Index (SIGI)
  6. Why Look at Gender and Indicators?

8 Sustainable Environment

  1. Meaning and Definition of Environment
  2. Impact of Human Settlement Activity
  3. Environmental Pollution
  4. Tragedy of the Commons
  5. The Concept of Sustainability
  6. Sustainable Development
  7. Indicators of Non-Sustainable Development (Macro)
  8. Three Major Hypotheses

9 Goals and Dimensions of Sustainable Development

  1. The Concept of Sustainable Development
  2. Genesis of Sustainable Development Goals
  3. 2030 Agenda for Sustainable Development
  4. SDG 13: Take Urgent Action to Combat Climate Change and its Impacts
  5. India’s Progress and Preparedness towards SDG 13

10 Relevance of Gender in Sustainability Indicators

  1. Context
  2. Interrelation Among SDGs
  3. Placing Gender in SDGs
  4. Theoretical Foundation
  5. Focus on Sustainability
  6. Neo-Liberalization of Sustainability Discourse

11 Sustainability Indicators

  1. Concepts
  2. Gender and Sustainable Agriculture
  3. Indicators
  4. Gender and Indicators
  5. Progress of India on Gender and Sustainable Agriculture

12 Ecology and Green Technology

  1. Defining Concepts: Knowledge, Technology, and Innovation
  2. Technology and Development: Work-Horse Models
  3. Green Technology and Ecology
  4. Green Technology: Adoption, Diffusion, and Rebound Effects

13 Global Challenges of Sustainable Development

  1. Meaning of Sustainable Development
  2. Challenges of Sustainable Development
  3. Population Growth and Related Issues
  4. Society Related Issues
  5. Environment Related Issues