Using Gender, Age and Disability-Responsive Data to Empower those Left Furtherst Behind: How to Do it and Why it's Fundamental to Effective Disaster Risk Reduction

The Sendai Framework recognises that specific groups of a population, including women, girls, boys and persons with disabilities are often disproportionally affected by disasters and have different and uneven levels of resilience and capacity to recover, due to various dimensions of inequality of risk, including gender, age, disability and income.

To better understand how different sections of a community are impacted by disasters, organisations lobbied for the inclusion of data that can be disaggregated by sub-sections of the overall population within the Sendai Framework. As such, the resulting framework calls for disaggregation by sex, age, disability and income.

This session will use practical examples, case studies and expertise from across the DRR sector (including national governments, INGOs, the private sector and donors) to explore how we can use gender, age and disability-responsive data to empower those left furthest behind.