How Can Disaggregated Data Support Inclusion?
Gender, Disaster and Disaggregated Data
Full Harvard Reference:
GFDRR. (2019). World Reconstruction Conference 4: Inclusion for Resilient Recovery, Geneva, Switzerland. How Can Disaggregated Data Support Inclusion? Session Summary.
This session summary emphasises the importance of disaggregated data collection in the context of humanitarian and disaster-related emergencies. The summary argues that not only is disaggregated data essential in better understanding how different parts of a community are impacted by disasters, it also allows for the effectiveness of budget aid allocation through contingency and recovery plans – ensuring that those who are often excluded from these services can gain access. Using the cases of women, young men, boys and girls, as well as those with disabilities, the session discussed the collection and analysis of disaggregated data in the continuum of preparedness, response and recovery, and gender-responsive recovery. To bridge this gap of missing disaggregated data, panellists highlighted the need for political will to mobilise commitments into action. The session concluded by recommending the combination of disaggregated data with qualitative information on vulnerability, as well as the systematic inclusion of vulnerable hard-to-reach individuals.