How Sex-and Age-Disaggregated Data and Gender and Generational Analyses Can Improve Humanitarian Response


Mazurana, Dyan, Benelli Prisca, and Peter Walker. 2013. “How Sex-and Age-Disaggregated Data and Gender and Generational Analyses Can Improve Humanitarian Response.” Disasters 37 (July): S68–82. 

Authors: Dyan Mazurana, Benelli Prisca, Peter Walker


Humanitarian aid remains largely driven by anecdote rather than by evidence. The contemporary humanitarian system has significant weaknesses with regard to data collection, analysis, and action at all stages of response to crises involving armed conflict or natural disaster. This paper argues that humanitarian actors can best determine and respond to vulnerabilities and needs if they use sex- and age-disaggregated data (SADD) and gender and generational analyses to help shape their assessments of crises-affected populations. Through case studies, the paper shows how gaps in information on sex and age limit the effectiveness of humanitarian response in all phases of a crisis. The case studies serve to show how proper collection, use, and analysis of SADD enable operational agencies to deliver assistance more effectively and efficiently. The evidence suggests that the employment of SADD and gender and generational analyses assists in saving lives and livelihoods in a crisis.

Keywords: age, agriculture, food security, armed conflict, emergency shelter, Gender, gender and generational analyses, health, humanitarian assessment, humanitarian response, natural disaster, methods, protection, sex- and agedisaggregated data, water, sanitation, hygiene

Topics: Age, Agriculture, Armed Conflict, Environment, Environmental Disasters, Gender, Humanitarian Assistance, Security, Food Security

Year: 2013

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