This is because not all statistical offices are fully aware of the exact data needs or have the capability to produce data to meet the specific needs. Most statistical offices have not been directly involved in collecting and providing data specifically for disaster risk management. To react to this need, statistical offices are increasingly working together with geospatial experts. Statistics are particularly useful for disaster risk analysis when linked to the geographical location as it enables detailed local and regional analysis. For instance, statistical data are important for identifying high-risk areas or conditions, and for planning appropriate ways to provide early warning to people and prevent serious damage to infrastructure, buildings and transportation.ĭuring a disaster, emergency response and recovery teams use statistics to get data on population and information on infrastructure and services located in the area.Īfter the disaster, statistics help to mitigate the impact of the disaster and estimate the damage, losses, and disruption to functions and services caused by the event. When preparing for disasters and assessing risks, statistics are useful for analyzing existing risks, informing the public about future risks, and planning actions to prevent disasters. The role of statistics in disaster risk management The guidance is expected to help all countries to monitor and report on progress in achieving the goals of the Sendai Framework for Disaster Risk Reduction and the goals of the 2030 Agenda for Sustainable Development that relate to climate change, extreme events and disasters. The draft guidelines will be shared with countries by the end of 2018. UNECE is developing recommendations on the role of national statistical offices in disaster risk management with a network of experts, in addition to practical guidance on data needs linked to disaster risk reduction. These highlighted ways to use official statistics in disaster risk management and examples of producing a set of climate change indicators, as endorsed by the Conference of European Statisticians in June this year. It was also an opportunity to review statistical approaches to disaster risk reduction from a number of countries.
This is necessary to enable a well-designed response to the changes in climate and disaster events that we are increasingly experiencing.
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The experts gathered in Rome to agree on how to bring together the right people to improve the evidence-base of climate policy making and disaster risk reduction. The effort we are doing here to improve data has never been more important.” said Gavin Schmidt, Director of NASA Goddard Institute for Space Studies, addressing more than 100 statisticians, scientists, and climate change and disaster risk experts in Rome at the UNECE Expert Forum on Climate Change, hosted by FAO on 3-5 October 2017. Data are fundamental to deciding how to react to large global scale problems. “It is not enough to sit and watch as scientific predictions about climate change come true. It is therefore important to strengthen the role of official statistics as they provide key data relevant to all phases of disaster risk management. However, the data needed for effective disaster risk reduction is not always readily available when needed. The need for timely and accurate data is especially significant in light of the increasing frequency and severity of climate change-related extreme weather events. Statistics play a crucial role in dealing with disasters, from preparation to recovery and reporting. Statistical production, methods and information technology.Human resources, organizational frameworks & evaluation.Sustainable development and environment.Task Force on Valuing Unpaid Household Service Work.Leading, Composite and Sentiment Indicators.Statistical development through in-depth reviews.
Bureau of the Conference of European Statisticians (CES).About the Conference of European Statisticians (CES).
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