DOI: 10.57760/sciencedb.j00076.00055
title: SDG13.1.1 Data Sets
title: SDG13.1.1 Data Sets

description: The Sustainable Development Goals set by the United Nations aim to solve social, economic and environmental development problems in an integrated manner during the period from 2015 to 2030. The 13th SDG is to “Take urgent action to combat climate change and its impacts”, concerning sub-goal 13.1 “Strengthen resilience and adaptive capacity to climate related hazards and disasters in all countries”. SDG13.1.1 has been defined to be a specific, effective indicator that can be used to quantitatively monitor and evaluate governments' response to climate change. It is defined as the “number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population”. The EM-DAT contains important core data on the occurrence and impact of more than 220,000 large-scale disasters worldwide from 1900 to the present. As a global disaster database, the EM-DAT provides a large amount of natural and technological disaster data for international projects and scientific research. By making use of the EM-DAT big data and SGD13.1.1 indicators, it is possible to quantify disaster information at a large geographical scale and to conduct valuable disaster assessments of different countries and regions, as well as to improve the monitoring and assessment of disaster risk reduction capabilities, and strengthen the ability of countries to adapt to, resist, and reduce extreme disasters caused by climate change. In our related paper "Disaster Assessment for the “Belt and Road” Region based on SDG landmarks", disaster assessment for the ‘Belt and Road’ region was carried out in relation to the SGD13.1.1 indicator, based on the EM-DAT (The Emergency Events Database) database. A new method for diagnosing trends in SGD13.1.1 was proposed, and an overview of disaster records is used to quantify disasters for a total of 73 countries using the data available in the EM-DAT. The following data are supplementary materials for this article,including:the calculation variables of the SDG13.1.1 indicator;disaster types of each country in the whole Belt and Road region; calulated SDG13.1.1 value and trend values of each country in the Belt and Road countries.
description: The Sustainable Development Goals set by the United Nations aim to solve social, economic and environmental development problems in an integrated manner during the period from 2015 to 2030. The 13th SDG is to “Take urgent action to combat climate change and its impacts”, concerning sub-goal 13.1 “Strengthen resilience and adaptive capacity to climate related hazards and disasters in all countries”. SDG13.1.1 has been defined to be a specific, effective indicator that can be used to quantitatively monitor and evaluate governments' response to climate change. It is defined as the “number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population”. The EM-DAT contains important core data on the occurrence and impact of more than 220,000 large-scale disasters worldwide from 1900 to the present. As a global disaster database, the EM-DAT provides a large amount of natural and technological disaster data for international projects and scientific research. By making use of the EM-DAT big data and SGD13.1.1 indicators, it is possible to quantify disaster information at a large geographical scale and to conduct valuable disaster assessments of different countries and regions, as well as to improve the monitoring and assessment of disaster risk reduction capabilities, and strengthen the ability of countries to adapt to, resist, and reduce extreme disasters caused by climate change. In our related paper "Disaster Assessment for the “Belt and Road” Region based on SDG landmarks", disaster assessment for the ‘Belt and Road’ region was carried out in relation to the SGD13.1.1 indicator, based on the EM-DAT (The Emergency Events Database) database. A new method for diagnosing trends in SGD13.1.1 was proposed, and an overview of disaster records is used to quantify disasters for a total of 73 countries using the data available in the EM-DAT. The following data are supplementary materials for this article,including:the calculation variables of the SDG13.1.1 indicator;disaster types of each country in the whole Belt and Road region; calulated SDG13.1.1 value and trend values of each country in the Belt and Road countries.