While traditional data disaggregation — separating data by gender, age, or income — helps identify disparities, it often misses how multiple factors overlap. Intersectional data allows us to see the full picture.
While traditional data disaggregation — separating data by gender, age, or income — helps identify disparities, it often misses how multiple factors overlap. Intersectional data allows us to see the full picture.
The Commission on the Status of Women (CSW69) this year looked at how data can drive change for women and girls, emphasizing that comprehensive, accessible, and inclusive data are essential both to making and tracking progress.
The Commission on the Status of Women (CSW69) this year looked at how data can drive change for women and girls, emphasizing that comprehensive, accessible, and inclusive data are essential both to making and tracking progress.
Topics at this year’s United Nations Statistical Commission (UNSC) ranged from the new System of National Accounts (SNA), to the 2030 Population and Housing Census, the new framework for Citizen Data, SDG progress, time use surveys, data financing, and the impact of AI. Six key takeaways emerged.
Topics at this year’s United Nations Statistical Commission (UNSC) ranged from the new System of National Accounts (SNA), to the 2030 Population and Housing Census, the new framework for Citizen Data, SDG progress, time use surveys, data financing, and the impact of AI. Six key takeaways emerged.
This brief provides a practical guide for planning to build better data systems by integrating intersectionality at each stage of the data value chain, improving the quality and value of data, and creating meaningful impact.
This brief provides a practical guide for planning to build better data systems by integrating intersectionality at each stage of the data value chain, improving the quality and value of data, and creating meaningful impact.