Care Economy

Women’s low labour force participation in India is closely linked to the unequal burden of unpaid care and domestic work. Evidence from India’s Time Use Survey shows that women and girls spend significantly more time on unpaid household and caregiving responsibilities than men and boys, while paid care work remains largely feminised, undervalued, and characterised by low wages and limited social protection. Addressing the care economy is therefore critical to advancing women’s economic participation and building inclusive labour markets.

IWWAGE’s work on the care economy focuses on:

Building evidence through collaboration

Generating and co-creating policy-relevant evidence in partnership with research institutions, governments, and civil society to highlight the scale, value, and distribution of care work.

Strengthening care and social infrastructure

Advocating investments in care services and enabling infrastructure such as childcare, elder care, piped water, clean energy, and reliable electricity to reduce women’s unpaid care burden.

Improving measurement and visibility of care work

Advancing better tools and methods to measure unpaid and paid care work, ensuring women’s contributions are visible in data, policy, and planning processes.

Advancing rights and protections for care workers

Supporting policy dialogue on fair wages, social protection, and access to entitlements for paid care workers.

Influencing policy and advocacy

Using evidence to inform policy across national and sub-national levels through sustained engagement with key institutions, including NITI Aayog, the Ministry of Women and Child Development, and the Ministry of Rural Development.

This body of work has strengthened national and international attention to care workers’ needs, including during India’s G20 Presidency in 2023, and contributed to IWWAGE being recognised by UNESCAP and UN Women (Regional Office) as a Care Champion in the region for 2024.

Working Paper

Improving Women’s Employment Possibilities: A Sectoral Analysis

This research paper explores the intersection of sectoral growth and gendered employment in India, analysing how economic changes impact women’s participation in the workforce. Using time-series data from CPHS, CMIE CAPEX, PLFS, and NAS, the study forecasts employment trends across key sectors from 2024 to 2027, with a particular lens on sectors employing large numbers of women. It highlights an overall projected decline in women’s employment, especially in agriculture, education, ICT, and several manufacturing industries due to mechanisation and automation. However, it also identifies potential growth in sectors such as wholesale and retail trade, and selected manufacturing sub-sectors like footwear and detergents, driven by women’s increasing entrepreneurial presence in e-commerce. The paper calls for urgent upskilling and targeted investments in sectors with high potential to absorb women workers.
This research paper explores the intersection of sectoral growth and gendered employment in India, analysing how economic changes impact women’s participation in the workforce. Using time-series data from CPHS, CMIE CAPEX, PLFS, and NAS, the study forecasts employment trends across key sectors from 2024 to 2027, with a particular lens on sectors employing large numbers of women. It highlights an overall projected decline in women’s employment, especially in agriculture, education, ICT, and several manufacturing industries due to mechanisation and automation. However, it also identifies potential growth in sectors such as wholesale and retail trade, and selected manufacturing sub-sectors like footwear and detergents, driven by women’s increasing entrepreneurial presence in e-commerce. The paper calls for urgent upskilling and targeted investments in sectors with high potential to absorb women workers.
Report

Capturing Women’s Work to Measure Better

Women’s work is often underestimated in labour force surveys due to its complex nature, which includes economic, non-economic, and unpaid work such as domestic tasks and caregiving. Additionally, biases in respondents and enumerators, along with survey designs lacking gender sensitivity, contribute to data gaps and the undercounting of women’s contributions, keeping them invisible in statistics and policy discussions. Research highlights how oversimplified methodologies in mainstream surveys lead to the misclassification of economically active women as inactive. This study aims to address these gaps by testing innovative survey techniques that provide more accurate estimates of women’s participation in the workforce. It also examines perception bias in proxy-reporting. The study was conducted in Karnataka and Jharkhand, surveying 4,000 women and 800 men. Findings show that these innovations were effective in capturing more women in employment compared to conventional surveys, offering deeper insights into their time-use patterns and highlighting the impact of perception bias in proxy reporting.
Women’s work is often underestimated in labour force surveys due to its complex nature, which includes economic, non-economic, and unpaid work such as domestic tasks and caregiving. Additionally, biases in respondents and enumerators, along with survey designs lacking gender sensitivity, contribute to data gaps and the undercounting of women’s contributions, keeping them invisible in statistics and policy discussions. Research highlights how oversimplified methodologies in mainstream surveys lead to the misclassification of economically active women as inactive. This study aims to address these gaps by testing innovative survey techniques that provide more accurate estimates of women’s participation in the workforce. It also examines perception bias in proxy-reporting. The study was conducted in Karnataka and Jharkhand, surveying 4,000 women and 800 men. Findings show that these innovations were effective in capturing more women in employment compared to conventional surveys, offering deeper insights into their time-use patterns and highlighting the impact of perception bias in proxy reporting.
Learning note

Digitization and its Effects on Female Labour Force Participation in India

India has witnessed a manifold increase in awareness and accessibility of job opportunities thanks to an increase in digitisation in all sectors. Technology has created new jobs and has made old jobs more accessible and convenient. Remote work opportunities, online training modules, and networking have become easier due to the internet, but its benefits are skewed. This paper explores the impact of increasing digitisation on female labour force participation (FLFP). Digitalisation is associated with improving gender outcomes, alongside various socio-economic factors. Research highlights how increasing the use of digital finance, improved digital infrastructure and digital awareness has a strong positive and significant correlation with FLFP. The paper investigates opportunities provided by digitalisation for enhancing women’s economic contribution and empowerment in both rural and urban settings.
India has witnessed a manifold increase in awareness and accessibility of job opportunities thanks to an increase in digitisation in all sectors. Technology has created new jobs and has made old jobs more accessible and convenient. Remote work opportunities, online training modules, and networking have become easier due to the internet, but its benefits are skewed. This paper explores the impact of increasing digitisation on female labour force participation (FLFP). Digitalisation is associated with improving gender outcomes, alongside various socio-economic factors. Research highlights how increasing the use of digital finance, improved digital infrastructure and digital awareness has a strong positive and significant correlation with FLFP. The paper investigates opportunities provided by digitalisation for enhancing women’s economic contribution and empowerment in both rural and urban settings.
Learning note

Women in STEM – Challenges and Opportunities in India

The nature of work is rapidly changing due to various factors such as skilling outcomes, sector-specific job creation, and demographic shifts. Global estimates suggest that up to 160 million women may need to transition into higher-skilled roles by 2030. In India, nearly 12 million women could face job losses due to automation, raising critical questions about how to retain women in the workforce. This series of briefs explores the future of work in India, using secondary research and interviews with key stakeholders to highlight gender-responsive strategies. The briefs examine thematic areas and principles that can support and enhance women’s workforce participation, ensuring that women remain central to the evolving employment landscape. By addressing the unique challenges faced by women, these insights aim to guide policy and action to create more inclusive and resilient workforces for the future.
The nature of work is rapidly changing due to various factors such as skilling outcomes, sector-specific job creation, and demographic shifts. Global estimates suggest that up to 160 million women may need to transition into higher-skilled roles by 2030. In India, nearly 12 million women could face job losses due to automation, raising critical questions about how to retain women in the workforce. This series of briefs explores the future of work in India, using secondary research and interviews with key stakeholders to highlight gender-responsive strategies. The briefs examine thematic areas and principles that can support and enhance women’s workforce participation, ensuring that women remain central to the evolving employment landscape. By addressing the unique challenges faced by women, these insights aim to guide policy and action to create more inclusive and resilient workforces for the future.
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