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Why data matters for progress on gender equality

by Laura Rahm, Ginette Azcona, Antra Bhatt, and Tara Cookson

Data plays a fundamental role in mobilizing, focusing, and monitoring efforts to achieve gender equality. It helps identify gaps, streamline policies, and direct resources. However, the chronic underfunding of gender statistics and the inaccessibility of disaggregated data hamper efforts to these ends. Different kinds of data are needed. While current global efforts in tracking progress rely largely on official statistics, there’s also a need to understand the complexity and nuances of inequality – information that is hard to capture numerically. This commentary addresses progress, setbacks, and complementary data needed in the quest for gender equality. It draws from a recent assessment of the United Nation’s progress on gender equality across the Sustainable Development Goals, The Gender Snapshot 2023.

The 2030 Agenda for Sustainable Development, with an ambitious goal to achieve gender equality by the end of this decade, represents a pivotal global effort towards a fair and equitable world. The adoption of the Sustainable Development Goals (SDGs) by all UN Member States in 2015 marked a significant shift from the earlier Millennium Development Goals. They expanded the scope of gender equality to encompass issues like violence against women, division of care work, and access to resources. This broadened focus reflects a deeper understanding of the multifaceted nature of gender inequality and the universal need for progress in the poorest nations and across all countries. Yet, having passed the midpoint of the 2030 timeline, the data reveals a troubling reality: we are far from being on track to meet these goals.

Gender Equality: Progress and Peril

Gender equality is recognized as an unmet standalone goal (SDG 5), which is vital for realizing all the other Sustainable Development Goals. Yet roughly only one in two data points needed to track progress on SDG is currently available, reflecting significant gaps in our understanding and monitoring of gender equality worldwide. The COVID-19 pandemic, along with ongoing conflicts, climate change, and a growing backlash against women’s sexual and reproductive health rights, has further complicated these efforts. Such crises not only exacerbate existing inequalities but also pose new challenges to data collection, making the task of assessing and responding to gender disparities an uphill battle. Despite these hurdles, there have been certain advancements. What follows is a snapshot of the SDG 5 targets and indicators.

What does available SDG 5 data tell us?

These findings underscore the critical mid-point status of SDG 5 targets, highlighting progress in certain areas but significant challenges in fully realizing gender equality and the empowerment of women and girls.

The Critical Role of Data

Gender equality data and indicators play a critical role in the delivery of all 17 SDGs, but they have also faced criticism. Calls have been made for more granular, qualitative data that can better capture the complex realities women face and help identify practical solutions. Feminist scholarship has advocated for expanding the data landscape to include women’s perspectives and lived experiences. They emphasize the importance of qualitative, experiential data to spotlight the depth of gender-based disparities and participatory methods that involve women in problem-solving. The digital gender data initiative Cosas de Mujeres for migrant Colombian and Venezuelan women who have experienced diverse forms of violence is one example of such innovation. The initiative generates data on women’s lived experiences and connects them to services that respond to and prevent gender-based violence. Another example is the community-based initiative GROOTS in Kenya that gained visibility in national and regional policymaking through the GROOTSmart Dashboard, which provides gender data statistics and tracks progress in ‘critical areas of development for grassroots women and girls’.

Big Data: Risks and Regulation

Big data creates new opportunities as well as challenges. A promising study in Nepal used a mix of demographic, health, geospatial, and cell phone data to shed light on literacy, agricultural employment, healthcare access, and gender-specific mobility patterns. Such innovative approaches combine big data with traditional statistics to enhance our ability to monitor well-being with precise spatial and temporal granularity. However, they also raise significant ethical and privacy concerns, which require new forms of democratic data governance that balance personal privacy with the public good. Rapid technology advancements indeed complicate the creation of regulatory frameworks to protect individuals’ rights and ensure ethical data use. Additionally, technology-facilitated violence against women, where online tools are misused for harmful purposes, underscores the need for stringent standards and protective measures.

Strengthening Multi-Stakeholder Partnerships

The interconnected challenges of our time, including gender inequality, require collaborative efforts that mobilize knowledge, expertise, and resources across different sectors and scales. The role of SDG 17, aimed at revitalizing global partnerships for sustainable development, is crucial in this context. Initiatives like the Spotlight Initiative, a global alliance to end violence against women and girls, and the Global Programme to End Child Marriage are just two examples of how multi-stakeholder partnerships challenge gender inequality and harmful social norms through multisectoral, multilevel interventions. Yet assessing the effectiveness of these initiatives is often hampered by insufficient monitoring and evaluation mechanisms, which are essential for understanding their impact and refining strategies. The need for more research and better integration of data, policy design, and service delivery is evident if these partnerships are to realize their full potential in advancing gender equality.

The Way Forward

Striving towards gender equality requires a concerted effort at multiple levels. Addressing the data gaps that obscure our understanding of gender disparities is one important piece of the puzzle. This entails not only increasing the availability of sex-disaggregated data and effectively mainstreaming gender across all the SDGs but also ensuring that such data informs policymaking and resource allocation. It calls for an expansion of the types of data collected to include voices and stories that represent the lived experiences of women and girls. It demands that diverse stakeholders work together and commit to addressing the realities of those lived experiences. The road to gender equality will be long and difficult. But sustainable development is only possible with full respect for the rights of women and girls.


Laura Rahm
, Ph.D., is a Marie Sklodowska-Curie Research Fellow at the Democracy Institute of the Central European University. She received her Ph.D. in Political Sociology and Demography from the Sorbonne University, Paris. Laura Rahm is also an Associate Researcher at the Paris-based Center for Population and Development, a Fellow at the School of Transnational Governance at the European University Institute, the Munk School of Global Affairs and Public Policy, and the Sociology Department of the University of Toronto. She specializes in global governance, population, and gender policies with a focus on sex-selective abortions, son preference, and harmful practices.

Tara Cookson is Assistant Professor and Tier 2 Canada Research Chair in Gender, Development, and Global Public Policy at the School of Public Policy and Global Affairs (SPPGA) at the University of British Columbia. Tara is also an Associate Member of UBC’s Geography Department. She uses ethnographic and quantitative methods to study how power operates in development policy, with a focus on gender data, social protection, and care work. Her approach to public scholarship integrates academic research, practice-oriented publications, and direct engagement with international policy processes.

Antra Bhatt is a Statistics Specialist with UN Women’s Research and Data Team. Prior to joining UN Women, she was a researcher at Tata Institute of Social Sciences, Mumbai, India. She holds a PhD in International Development from the University of Rome –‘Tor Vergata’, Italy and a Master’s degree in Public Policy from the University of Chicago Harris School of Public Policy.

Ginette Azcona is a Research and Data Policy Specialist at UN Women. She manages the data and statistics for UN Women’s flagship reports. Before joining UN Women in 2010, she was part of the research and writing team for UNDP’s Human Development Report Office. Ginette has authored numerous publications on human development, human rights, social justice and gender and development data and is UN Women’s leading focal point on gender, data and the SDGs.


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