When we talk about who works and who doesn’t, the numbers tell only part of the story. Globally, the labour force participation rate for women sits at just over 50%, compared to around 80% for men. That gap is not accidental – it is the result of layered economic pressures, entrenched cultural norms, unequal access to education, and a measurement system that has, for decades, failed to count much of the work women actually do. Understanding how gender shapes labour participation is essential to understanding development itself.
Table of Contents
- The global picture: a persistent participation gap
- Why female labour force participation varies so widely
- Economic development and the U-shaped pattern
- Education: a critical but insufficient lever
- Social and cultural norms
- Care responsibilities as a structural barrier
- The hidden economy: undercounting women’s work
- How undercounting shapes policy
- Quality of work matters, not just participation
- The economic cost of exclusion
- What changes the picture
The global picture: a persistent participation gap
Progress has been made. Women’s participation in the labour force across 101 tracked countries rebounded from a pandemic low of 62.3% to 65.7% by 2024. But the overall picture remains uneven, and the pace of change is far too slow. At current rates, it could take five generations – or 134 years – to achieve full gender parity worldwide.
The variation across regions is striking. Southern Asia ranks last in economic participation and opportunity, with a gender parity score of just 38.8%, reflecting low labour-force participation rates for women and significant gender disparities in leadership roles. Meanwhile, Latin America and the Caribbean have made the biggest regional leap since 2006, reducing their gender gap by 8.3 percentage points and reaching their highest economic parity score to date.
These are not just statistics. They reflect real differences in who has access to income, autonomy, and economic security – and who does not.
Why female labour force participation varies so widely
No single factor explains the global gender gap in labour participation. It is shaped by a web of forces operating at individual, household, and societal levels.
Economic development and the U-shaped pattern
Economists have long observed what is called the U-shaped relationship between economic development and female labour force participation. Participation tends to be high in the poorest economies – where women contribute to smallholder agriculture – then dips in middle-income economies before rising again among higher-income countries. However, this pattern is not universal. More recent studies have found that this U-shape does not hold within regions or when tracking specific economies over time as their income levels rise. Development alone does not automatically improve women’s position in the workforce.
Education: a critical but insufficient lever
Access to quality education is one of the strongest predictors of women’s labour market outcomes. Increased access to quality education beyond secondary level, along with social protection and care services, supports better employment outcomes for women. Globally, rising female labour force participation has been linked in part to a sectoral shift away from physically demanding industries toward services – a change that has opened more doors for women.
But education is not enough on its own. Education raises the reservation wage and expectations of women, but it needs to be matched by actual job creation. Without a labour market ready to absorb educated women, qualifications alone cannot close the participation gap.
Social and cultural norms
In many societies, gender norms directly govern whether women are expected – or permitted – to work. Cultural norms help explain the large differences in female employment among countries at the same level of economic development. Where women are primarily seen as caregivers and men as breadwinners, the pressure to stay at home can be overwhelming, regardless of a woman’s own preferences or qualifications.
Cultural and social norms prevent women from realising their full economic potential, and safety concerns further restrict their physical and economic mobility. In several South Asian contexts, for example, concerns about safety in public spaces have been directly linked to lower rates of female employment. The barriers are not just attitudinal – they are structural.
Care responsibilities as a structural barrier
Globally, the burden of unpaid care work falls disproportionately on women. The International Labour Organization estimates that in 2018, 647 million working-age adults were hindered from entering the workforce due to family responsibilities – 94% of whom were women. This is not simply a personal choice – it reflects a systematic failure to provide affordable childcare, paid parental leave, and flexible work arrangements.
Women spend an average of 2.4 more hours a day on unpaid care work than men. This daily time deficit accumulates into reduced job prospects, lower earnings, and constrained career paths across a lifetime. As the World Bank has found, an increase in paternal leave results in higher female labour-force participation – suggesting that redistributing care responsibilities has tangible economic effects.
The hidden economy: undercounting women’s work
One of the most significant problems in discussions of gender and labour is what never gets counted at all. Unpaid care work – cooking, cleaning, raising children, caring for elderly relatives – underpins the entire formal economy, yet it is systematically excluded from national accounting.
Women perform 75% of all unpaid care work globally, dedicating on average over four hours daily to it – more than three times men’s average. The economic contribution of this labour is roughly estimated at $10 trillion per year, around 13% of global GDP, yet it does not appear in any official measure of economic output.
The origins of this omission are deliberate and historical. When the United Nations established the System of National Accounts (SNA) in the 1950s, it built on a framework that counted only goods and services exchanged in the market. Activities central to everyday life in low-income countries – such as fetching water, grinding corn, and preparing food – were not included, even when early researchers argued it was illogical to exclude them. The exclusion persisted not because it was technically necessary, but because these activities were viewed as “women’s work” and therefore outside the scope of economic concern.
The economic value of unpaid household work is estimated to range from 10 to 60% of GDP, depending on the country and method of calculation. In the United States alone, unpaid family caregiving was estimated to be worth around $470 billion in 2015. For 27 mostly high-income countries in the same year, the average value of unpaid labour exceeded 25% of GDP. These are not marginal contributions – they are foundational to economic life.
How undercounting shapes policy
Women perform roughly twice as much unpaid work as men on average in OECD countries. Because it is not measured, it is generally overlooked by economic policy. This creates a vicious cycle: invisible work is not valued, unpaid workers receive no social protection or recognition, and policy decisions continue to be made without accounting for the real economic contributions of half the population.
There are signs of change. The UN Sustainable Development Goals now stress the importance of addressing the gender gap in unpaid care work, and the ILO formally recognised unpaid care work as a subset of “work” in 2013. However, formal recognition has not yet translated into systematic inclusion in national accounts or meaningful policy change at scale.
Quality of work matters, not just participation
Even when women do enter the paid labour force, the nature of that participation matters enormously. When women work, they are much more likely than men to engage in vulnerable employment with lower earnings and worse working conditions. Across many developing economies, women are concentrated in informal and part-time roles that offer little job security, no social protection, and limited opportunities for advancement.
Gender segregation by sector further entrenches inequality. Industries where women account for a higher share of the labour force tend to offer lower pay – and the reverse is also true: industries where women are underrepresented tend to be higher-paying. Women remain just 28.2% of the STEM workforce and continue to face steep barriers to reaching senior leadership positions across sectors.
The economic cost of exclusion
The underparticipation of women in the labour market is not just an equity issue – it is an economic one. Closing the gender gap in labour force participation can lead to an average 20% increase in GDP per capita. A 2024 World Bank report noted that closing this gap could raise global GDP by more than 20% – essentially doubling the global growth rate over the next decade.
The IMF has similarly estimated that policies that reduce and redistribute unpaid work could yield gains of up to 4% of GDP. These are not abstract projections – they reflect the very real productive potential that is left unrealised when women are kept out of the labour market by structural barriers rather than preference.
What changes the picture
The evidence points clearly to what works. Affordable childcare, equitable parental leave policies, improved transport infrastructure, access to microfinance, and legal protections against workplace discrimination all improve women’s labour market outcomes. Countries like Sweden, with subsidised childcare and parental leave designed to encourage both parents to take time off, consistently show higher female labour force participation rates than those with more hands-off welfare states.
Beyond formal policy, changing gender norms is equally important. There is evidence that both policies designed to work around restrictive norms and those that directly challenge them can be effective in increasing women’s labour market participation and earnings. Interventions that improve women’s safety, mobility, and access to networks create conditions where participation becomes possible even where norms have not yet fully shifted.
The relationship between gender and labour participation is, at its core, a relationship between power and possibility. The data consistently show that where women have more – more education, more legal protection, more affordable care support, more recognition of their total economic contribution – they participate more, earn more, and contribute more to their households and their economies. The challenge is building the structures that make that possible everywhere, not just in the countries that have already moved furthest along.
What do you think? Given that unpaid care work contributes trillions to the global economy but remains excluded from official GDP measurements, should national accounting systems be reformed to count it – and what would change if they did? And when cultural norms, not just laws or policies, are the primary barrier to women’s labour market participation, whose responsibility is it to drive that change?
References
- https://genderdata.worldbank.org/en/data-stories/flfp-data-story
- https://www.weforum.org/stories/2024/06/women-work-gender-gap-2024/
- https://www.weforum.org/publications/global-gender-gap-report-2024/digest/
- https://wol.iza.org/articles/female-labor-force-participation-in-developing-countries/long
- https://wol.iza.org/articles/female-labor-force-participation-and-development/long
- https://www.nber.org/papers/w22766
- https://link.springer.com/article/10.1057/s41308-021-00140-w
- https://www.theigc.org/case-studies/increasing-womens-participation-workforce
- https://www.worldbank.org/en/topic/gender/brief/gender-strategy-update-2024-30-accelerating-equality-and-empowerment-for-all
- https://www.worldbank.org/en/news/press-release/2024/03/04/new-data-show-massive-wider-than-expected-global-gender-gap
- https://www.kcl.ac.uk/news/womens-unpaid-care-work-has-been-unmeasured-and-undervalued-for-too-long
- https://theconversation.com/womens-unpaid-work-must-be-included-in-gdp-calculations-lessons-from-history-98110
- https://www.imf.org/en/blogs/articles/2019/10/15/blog-the-economic-cost-of-devaluing-women-work
- https://www.bu.edu/eci/2021/03/10/putting-womens-work-in-context-what-mainstream-economics-misses-about-gender/
- https://www.weforum.org/stories/2016/04/why-economic-policy-overlooks-women/
- https://www.weforum.org/publications/global-gender-gap-report-2024/in-full/economic-and-leadership-gaps-constraining-growth-and-skewing-transitions-7b05a512cb/
- https://www.imf.org/en/Publications/WP/Issues/2019/10/15/Reducing-and-Redistributing-Unpaid-Work-Stronger-Policies-to-Support-Gender-Equality-48688
- https://ourworldindata.org/female-labor-supply
- https://www.researchgate.net/publication/353005285_Social_Norms_as_a_Barrier_to_Women's_Employment_in_Developing_Countries
Leave a Reply