Multi-hazard disaster risk reduction (DRR) policy and action requires functioning disaster loss and risk information systems that can provide reliable and timely data, statistics and analysis. This is a key enabling condition for countries to develop and implement DRR strategies and investment that are tailored to specific risk contexts, vulnerabilities, impacts and needs. 

To be effective, disaster risk management needs to understand the differentiated impact of disasters on different population groups. It therefore requires a comprehensive approach with inclusive risk-informed decision-making that is based on the collection, sharing and dissemination of disaggregated data, including by sex, age, disability, and income. Such data must be accurate, timely, up-to-date, comprehensible and widely available.   

Furthermore, there is a need of localization of disaster-related data where global and national level analysis is complemented by local-level data, which can inspire localized and targeted DRR efforts.