Gender data gaps contribute to the invisibility of women's labor from "summary" of Invisible Women by Caroline Criado Perez
When we look at the world through a gender data gap lens, we start to see how women's labor is often rendered invisible. This invisibility is not just a matter of oversight or neglect; it is a direct consequence of the data that is collected, analyzed, and acted upon. Take, for example, the way that unpaid care work is often left out of official economic statistics. This work, predominantly carried out by women, includes tasks like cooking, cleaning, and caring for children or elderly relatives. Because this labor is not included in traditional measures of economic activity, it is devalued and disregarded. Furthermore, when women do participate in paid work, their contributions are often not fully recognized or compensated. This can be seen in the gender pay gap, where women are paid less than men for the same work. Without accurate and comprehensive data on wages and working conditions, it is difficult to address these disparities and ensure that women receive fair treatment in the workplace. The consequences of gender data gaps go beyond just economic issues. For example, in healthcare, women are often underrepresented in clinical trials and medical research. This leads to gaps in our understanding of how diseases affect women differently from men, as well as how treatments may need to be tailored to account for these differences. In order to address these gaps and make women's labor more visible, we need to collect better data that takes into account the diverse experiences and contributions of women. This means ensuring that data is disaggregated by sex and gender, and that women are included in decision-making processes around data collection and analysis. Only then can we begin to truly understand and address the ways in which women's labor is undervalued and overlooked in our society.
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