This note on gender informed monitoringand evaluation in disaster risk management is the third in aseries of guidance notes on gender issues in disaster riskmanagement (DRM) in East Asia and the Pacific. The notelooks at the collection and analysis of sex-disaggregateddata, needs assessments, pre- and post-disaster assessmentand analysis, and gender indicators. Select referencesspecific to gender and DRM are given at the end of thisnote. Good practice disaster risk management projects areinformed by gender sensitive data and evidence during thedesign, implementation and the monitoring and evaluationphases. This information is sourced by collating availablesecondary data sources (e.g., government census andsocio-economic development data), conducting primary datagathering in the project area, and through regularmonitoring and evaluation during program implementation. Akey obstacle, however, in the development of gendersensitive DRM policies and projects is the lack ofsex-disaggregated data (i.e., data that can be separated bymen and women). Without disaggregated data, it is difficultto identify, understand and address the different needs ofmen and women before, during and after a disaster. As genderconsiderations vary depending on socio-economic conditionsand cultural beliefs, sex-disaggregated data is required atall levels. For example, national level disaggregated datais useful, but not sufficient for planning activities at thevillage level, as gender roles may vary from village tovillage within a country. The data collected areinstrumental in helping identify the needs of men and womento shape the design of early warning systems, emergencypreparedness plans, and post-disaster recovery programsamong others, and to determine the allocation of funding.Gender-sensitive monitoring and evaluation in DRM programsallow governments and partner organizations to swiftly reactto the changing situation in affected areas and enable theinvolved institutions to make corrections in the programdesign and implementation plans, re-assess developmentoutcomes and the underlying processes. This can improve thelikelihood of achieving the development objectives outlinedin the reconstruction programs, and helps the reconstructionpartners to understand, effectively respond and shape thedynamic situation on the ground.