This Guidance Note provides comprehensive advice for the collection, analysis, and use of quantitative disaggregated data in DFAT health programs, with a focus on advancing inclusion, equity, and social justice. It outlines the importance of breaking down data by categories such as sex, gender, disability, age, ethnicity, and other factors to identify and address health inequalities. The document offers practical guidance on integrating disaggregated data throughout the program management cycle—from planning and design to implementation, monitoring, and evaluation—while emphasising ethical considerations, data protection, and the involvement of people with lived experience.