These findings by DTM raise protection, safety and security concerns. They further highlight the importance of collecting gender-disaggregated data as gender plays a role in the different basic needs in response and recovery periods of a disaster – information on the distinct experiences and vulnerabilities of women and girls and their other intersecting characteristics is crucial. In the disaster context, the outcomes for women and men are influenced by their intersectional identities in society. Women and men play different roles due to their age, social class, ethnicity, among others, which result in different identifiers, responsibilities, expectations, values, experiences and skills, that can lead to gender imbalances in disaster risk reduction, response and recovery efforts.
As climate change continues to intensify, environmental migration and disaster displacement will likely increase. In 2020, 7 million people had been displaced by disasters. During the past year, new displacements due to climate change were reported by DTM. In assessments conducted in March and April 2021 in Ethiopia, 589,195 people were displaced due to floods and droughts across the country. As of September 2021, over 113,408 individuals were displaced across Burundi, most of whom (83%) were uprooted due to disasters, while in South Sudan, the vast majority (99.8%) of IDPs indicated that flooding was the main reason for their displacement.
With the anticipated rise in climate-related migration and displacement, better data is necessary to raise awareness of the disproportionate impact on women and girls in disaster contexts and in ensuring gender-sensitive response and recovery. Better data can help ensure that disaster response and recovery efforts do not exacerbate vulnerabilities and support in the development of gender-responsive policies. It can provide an intersectional understanding of disaster risk and a foundation to reduce differential impact, ensuring no one is left behind.
But there is still more work to be done. As it stands, there is a lack of gender-disaggregated data in disaster contexts. To provide assistance that considers the needs of all, gender-disaggregated data must be at the centre of response and recovery strategies.
To learn more about the Displacement Tracking Matrix, visit https://dtm.iom.int
By Hong Tran, DTM Associate, IOM