February 2022 INFORM Global Risk Index 2019 Mid Year, v0.3.7 (2019) PURPOSE To assess country-level vulnerability and coping capacity related to climate change based on the data set used in Chapter 8 of the Sixth Assessment Report (AR6) by the Intergovernmental Panel on Climate Change (IPCC) Working Group II (WGII). DESCRIPTION The INFORM Global Risk Index 2019 Mid Year, v0.3.7 data set identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM Global Risk Index (GRI) model is based on risk concepts published in the scientific literature and envisages three dimensions of risk: Hazard & Exposure, Vulnerability, and Lack of Coping Capacity. The INFORM GRI model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The INFORM GRI model supports a proactive crisis management framework, and will be helpful for an objective allocation of resources for disaster management, as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies. Only the main two sections, Vulnerability and Lack of Coping Capacity, not the Hazard & Exposure section, were used in the IPCC AR6. ACCESSING THE DATA The data may be downloaded at https://sedac.ciesin.columbia.edu/data/set/ipcc-inform-gri-2019-v0-3-7/data-download DATA FORMAT This archive contains the data in .xlsx format in Excel Workbook. The data files are compressed zipfiles. Downloaded files need to be uncompressed in a single folder using either WinZip (Windows file compression utility) or similar application. Users should expect an increase in the size of downloaded data after decompression. DATA UNITS The Index is unitless. SPATIAL EXTENT Global, Country-level. DISCLAIMER CIESIN follows procedures designed to ensure that data disseminated by CIESIN are of reasonable quality. If, despite these procedures, users encounter apparent errors or misstatements in the data, they should contact SEDAC User Services at ciesin.info@ciesin.columbia.edu. Neither CIESIN nor NASA verifies or guarantees the accuracy, reliability, or completeness of any data provided. CIESIN provides this data without warranty of any kind whatsoever, either expressed or implied. CIESIN shall not be liable for incidental, consequential, or special damages arising out of the use of any data provided by CIESIN. USE CONSTRAINTS This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided. RECOMMENDED CITATION(S) Data Set: Joint Research Centre (JRC), European Commission. 2022. INFORM Global Risk Index 2019 Mid Year, v0.3.7. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/yzp7-sm30. Accessed DAY MONTH YEAR. Scientific Publication: Marin-Ferrer, M., L. Vernaccini, and K. Poljansek. 2017. Index for Risk Management INFORM Concept and Methodology Report - Version 2017. EUR 28655 EN. https://doi.org/10.2760/094023. ACKNOWLEDGEMENT The authors would like to acknowledge the contributions of all partners in INFORM. The various dimensions and categories, as well as all the following development of INFORM are based on expert input from individuals during the workshops and during the editing process. In particular, we would like to thank Andrew Thow, UN Office for the Coordination of Humanitarian Affairs (OCHA), for his professional and personal contribution. At the JRC, we are particularly grateful for Daniele Ehrlich for his contributions in coastal hazards, Thomas Kemper, Martino Pesaresi, Sergio Freire for facilitating the access to the Global Human Settlement Layer (GHSL) Population Grid layer latest release, Winfried Ottoy for contributing the Global Conflict Risk Index (GCRI) data, and Ainara Casajus Valles for her valuable support during the evaluation process. This work has been financially supported by the European Commission Directorates-General (DG) for European Civil Protection and Humanitarian Aid Operations, the DG Joint Research Centre, and the UK Department for International Development.