The framework brings together National Statistical Offices (NSOs), National Disaster Management Offices (NDMOs), other data producing agencies and key stakeholders within a shared statistical architecture, helping countries strengthen national data governance and improve the quality, consistency, and comparability of disaster-related statistics.
Disaster risk reduction depends on reliable statistics. Understanding who and what are exposed, how vulnerability evolves, how losses accumulate, and how investments reduce impacts requires more than isolated disaster reports. It requires a coherent statistics system that connect risk conditions, disaster impacts, and prevention efforts.
The G-DRSF provides a common statistical foundation that enables countries to better understand risk before, during, and after hazardous events and disasters occur, and to measure impacts. It supports more consistent, timely recording of:
- impacts on people, including deaths, injuries, and displacement;
- impacts on assets, such as damage in housing, infrastructure, and ecosystems;
- impacts on flows, including economic losses and additional costs;
- expenditures on disaster risk reduction (DRR) activities, strengthening visibility of investments in prevention and preparedness.
By integrating risk-related statistics, such as exposure, vulnerability, and coping capacity, the framework reinforces the principle that disaster risk should be continuously measured, and different population may experience different exposure, vulnerability, and coping capacity factors during an event. This approach strengthens prevention-focused planning and decision-making and provides the structured data needed to support forward-looking risk modelling.
