Publications Integrated Risk Modelling Toolkit Manual Share Facebook LinkedIn Download 2018 | User manual At the core of the Global Earthquake Model (GEM) is the development of state-of-the-art modeling capabilities and a suite of software tools that can be utilized worldwide for the assessment and communication of earthquake risk. For a more holistic assessment of the scale and consequences of earthquake impacts, a set of methods, metrics, and tools are incorporated into the GEM modelling framework to assess earthquake impact potential beyond direct physical impacts and loss of life. This is because with increased exposure of people, livelihoods, and property to earthquakes, the potential for social and economic impacts of earthquakes cannot be ignored. Not only is it vital to evaluate and benchmark the conditions within social systems that lead to adverse earthquake impacts and loss, it is equally important to measure the capacity of populations to respond to damaging events and to provide a set of metrics for priority setting and decision-making.

Publications Evaluación de Riesgo Sísmico para Santiago de los Caballeros Share Facebook LinkedIn Download 2022 | Report El presente documento es el resultado del esfuerzo colaborativo entre la Fundación GEM, el Servicio Geológico de los Estados Unidos, la oficina del Plan de Ordenamiento Territorial del Ayuntamiento de Santiago de los Caballeros y el Servicio Geológico Nacional. El objetivo de este reporte es presentar los resultados de la evaluación de riesgo urbano para el municipio de Santiago de los Caballeros, obtenidos dentro del contexto del Proyecto para la Comunicación y Formación en la Evaluación de Riesgos por Terremotos (TREQ), financiado por la Oficina de Ayuda Humanitaria de los Estados Unidos (BHA, por sus siglas en inglés).

Publications Guidelines for Analytical Vulnerability Assessment-Low/Mid-Rise Share Facebook LinkedIn Download 2014 | Report Guidelines (GEM-ASV) for developing analytical seismic vulnerability functions are offered for use within the framework of the Global Earthquake Model (GEM). Emphasis is on low/mid-rise buildings and cases where the analyst has the skills and time to perform non-linear analyses. The target is for a structural engineer with a Master’s level training and the ability to create simplified non-linear structural models to be able to determine the vulnerability functions pertaining to structural response, damage, or loss for any single structure, or for a class of buildings defined by the GEM Taxonomy level 1 attributes. At the same time, sufficient flexibility is incorporated to allow full exploitation of cutting-edge methods by knowledgeable users. The basis for this effort consists of the key components of the state-of-art PEER/ATC-58 methodology for loss assessment, incorporating simplifications for reduced effort and extensions to accommodate a class of buildings rather than a single structure, and multiple damage states rather than collapse only considerations.

Publications Guidelines for Empirical Vulnerability Assessment Share Facebook LinkedIn Download 2014 | Report These Guidelines provide state-of-the-art guidance on the construction of vulnerability relationships from post-earthquake survey data. The Guidelines build on and extend procedures for empirical fragility and vulnerability curve construction found in the literature, and present a flexible framework for the construction of these relationships that allows for a number of curve-fitting methods and ground motion intensity measure types (IMTs) to be adopted. The philosophy behind the design of the framework is that the characteristics of the data should determine the most appropriate statistical model and intensity measure type used to represent them. Hence, several combinations of these must be trialled in the determination of an optimum fragility or vulnerability curve, where the optimum curve is defined by the statistical model that provides the best fit to the data as determined by a number of goodness-of-fit tests. The Guidelines are essentially a roadmap for the process, providing recommendations and help in deciding which statistical model to attempt, and promote trialling of models and IMTs.

News Eigenrisk® adds GEM earthquake modeling resources to its global catastrophe risk management platform By: Mar 16, 2022 Share Facebook LinkedIn ANN ARBOR, MI, January 2022 – EigenRisk® today announced a new agreement with Global Earthquake Model (GEM) Foundation, an international public-private partnership committed to the development of open-source hazard and risk assessment software, tools and data, to make GEM’s global earthquake exposure modeling resources available through the EigenPrism® catastrophe risk management platform. “Earthquakes continue to be among the most deadly and devastating natural catastrophes in all parts of the world,” said Deepak Badoni, president, EigenRisk. “Our relationship with the GEM Foundation enables our clients around the globe to integrate earthquake-related risk analytics into their key business processes and be more proactive in all aspects of catastrophe planning, monitoring and response.” GEM’s Global Seismic Hazard Map (version 2019.1) will be its first dataset added to EigenRisk’s extensive library of hazard models from public and private sources. Users can easily select and compare risk results from multiple sources on the platform. "We're pleased to offer our global earthquake modeling capabilities to the risk management and insurance community through EigenRisk's platform," said John Schneider, GEM Secretary General. “The expanded availability of our resources aligns with our objectives to widen the global understanding of earthquake risk, enhance related protection and safety measures, and facilitate the development of insurance products that address the economic consequences of seismic events.” Beyond the global assessment capabilities currently available on the EigenRisk platform, GEM’s array of earthquake hazard, exposure and vulnerability models as well as OpenQuake software tools can be used to simulate the seismic behavior of buildings, lifelines and critical facilities. In particular, it allows for the assessment of the probability of earthquakes occurring, and the consequent physical damage and economic loss, essential information for implementing a wide range of risk reduction and transfer mechanisms, including parametric insurance. Press release link: . EigenRisk, Inc., an independent insurance technology firm, helps (re)insurers, brokers and risk managers across the globe manage catastrophe risk, and drive higher growth, customer engagement and operational efficiency. The firm's cloud-based platform provides one-stop access to powerful data management, geo-visualization, analytics, reporting, modeling, alerts and APIs. These capabilities are integrated with hazard data, event projections and simulations curated from more than 20 leading public and private sources to provide a more dynamic and complete perspective of risk. Visit www.eigenrisk.com. No images found. GALLERY 1/0 Gallery VIDEO RELATED CONTENTS

Publications The Development Impact of Risk Analytics Share Facebook LinkedIn Download 2020 | Report This paper proposes a hypothesis – a theory of change-illustrated with evidence from country projects and literature. It is not an empirical study built on formal monitoring, evaluation and learning processes, but it is a thesis reinforced wherever possible with evidence of where things have gone right, sometimes wrong, and mostly where there are barriers to the flow of risk understanding that must be removed for the benefit of communities.

Earthquake Risk Modelling a bridge between knowledge and application GEM Impact Story Series Early beginnings: realizing the power of earthquakes to change communities I became interested in earthquakes at an early age. It was 1968, I was living in Istanbul Turkey with my family. We were having dinner when all of a sudden, the ground started to shake and things fell to the floor. It was a time of crisis in Istanbul and what struck me was the earthquake changed everything in just a few seconds. People that were at war were all of a sudden in the streets together and I understood the power of earthquakes to change communities. That memory stuck with me. It has influenced my work as a research scientist and motivated a desire to help people understand what could happen in the event of a disaster. First involvement with GEM, earthquake risk in Canada We know that there's potential for significant earthquakes on the west coast on Canada where I live. I work with the Geological Survey of Canada and was introduced to GEM about five years ago at a hazards and risk modeling workshop in Pavia. One of our mandates as a federal research agency is to generate a national earthquake risk assessment for Canada to help inform disaster risk reduction planning and policy development. GEM and Canada partnership A severe earthquake in any of the known hotspots of Canada would strain existing capacities to respond and recover so understanding both the physical and socio-economic risks at a national scale is a priority for us. We don't have a publicly available seismic risk model right now and there is an urgent need to develop a shared understanding at the level of individual communities. GEM provides a suite of tools and expertise that enable us to do risk assessments at all scales - at the national scale, at the regional scale and at the local scale using an open source set of tools that are available to all. Our partnership with GEM enabled collaboration with academic researchers and partners from other organizations to create a team in Canada that is able now to do more than we could have on our own, So, as we progress in generating our national earthquake risk assessment we continue to learn from GEM and hopefully have something to offer back as well. Earthquake risk modelling as a bridge between knowledge and application GEM for me is a community of researchers who share a passion for telling stories about earthquake risks through the use of analytic models. These risk models are a bridge between our understanding of what could happen in the event of a large earthquake and what we can do about it. And so for me working with GEM is working with people who understand in great detail the various aspects of earthquake risk modeling whether it's the hazard models or the vulnerability models, social vulnerability, earthquake risk - all these pieces need to come together in order for us to understand what could happen in the event of a disaster but most importantly what can we do in advance to reduce our risk to earthquakes in the future. GEM as change agent GEM is a change agent in many ways – the most important are the principles on which it's based- the open collaborative nature of GEM is a game changer I think in the field of earthquake risk modeling. By providing open source tools and providing access to a community of experts worldwide, GEM is really accelerating the way in which we think about and model earthquake risk globally, in a way that we haven't been able to do within the context of individual organizations whether that be a national government organization or a private industry organization. Being part of GEM is like being in a jazz band For me being part of the GEM organization is like playing music in a band. You can play classical music where everyone has a part to play and it's scripted and you play your instrument on the appointed time or you can play jazz. Research as a creative design process And when you play jazz with fellow musicians or researchers you learn from each other. You listen to what they're doing, you learn from each other in the moment and your music becomes alive - it changes, it evolves very quickly. It inspires me to think about research as a creative design process. GEM is about bringing together the best science and the best people to advance the best research possible. Supporting GEM means more efficient international collaboration GEM is a nonprofit organization and it offers an invitation for public sector and private sector partners to join an international collaboration to improve our understanding of earthquake risk modeling and ultimately to understand risk better. The incentive for us in Canada to become a member of GEM is pretty simple. The value proposition is very clear. It allows us to do things that we could not do alone as an individual organization and I think many organizations are in a similar position these days. We're all experiencing reduced funding for our research programs, reduced capacities to do the work that we're asked to do. In collaboration however, we have the potential to do this work more effectively. What GEM offers for us is a network of researchers who bring capacity beyond what we have within our own walls to do the work in a way that we couldn't have done otherwise. GEM as a platform for understanding multi-hazard risk in the future I think the value of being a public sector member of GEM is the opportunity to work together as part of a team – and to think about where this collaboration can go in the future. The communities that we work with certainly experience earthquake risk but they also face other hazards of concern: floods, debris flows, other kinds of hazards. And the work that GEM is doing is leading the way I think toward how we as organizations can think about multi hazard risk in a coherent way and use the tools and platform that GEM has assembled over the last 10 years to take us into the future. About the GEM Impact Stories Earthquake risk remains abstract and highly technical, and there are significant risks that due to poor or limited understanding of it, policymakers and the public at large may not be able to fully take advantage of existing and future information that can either help create better or enhance existing earthquake risk reduction and management strategies, especially at the local and national level. Specifically, the GEM Impact Stories project aims to: Collect and document stories where GEM or its partners have contributed to positive change; Encourage policy and decision makers to use science- and evidence- based information to formulate earthquake DRR strategy at the national level through positive stories of change; and Increase awareness of the public at large on earthquake risk and preparedness. Acknowledgement Our heartfelt thanks goes to: Dr. Murray Journeay for contributing his story and valuable time with us; Simona Confalonieri and her team at videografiaitaliana.it for the video interview; and EAFIT University Colombia, Western University Canada for the worskhop photos and Jill Dobkin for the photos and the support provided during the interview. Related Contents Earthquake Risk Modelling: a bridge between knowledge and application Dr. Murray Journeay's full interview transcript in PDF brochure format. Title: Earthquake Risk Modelling: a bridge between knowledge and application Video: Dr. Murray Journeay's interview Duration: 8mins 23secs

Publications A summary of hazard datasets and guidelines supported by the Global Earthquake Model during the first implementation phase Share Facebook LinkedIn Download 2015 | Peer-reviewed The Global Earthquake Model (GEM) initiative promotes open, transparent and collaborative science aimed at the assessment of earthquake risk and its reduction worldwide. During the first implementation phase (2009-2014) GEM sponsored five projects aimed at the creation of global datasets and guidelines toward the creation of open, transparent and, as far as possible, homogeneous hazard input models. These projects concentrated on the following global databases and models: an instrumental catalogue, a historical earthquake archive and catalogue, a geodetic strain rate model, a database of active faults, and set of ground motion prediction equations. This paper describes the main outcomes of these projects illustrating some initial applications as well as challenges in the creation of hazard models.

Publications Development of the OpenQuake engine, the Global Earthquake Model's open-source software for seismic risk assessment Share Facebook LinkedIn Download 2013 | Peer-reviewed The Global Earthquake Model aims to combine the main features of state-of-the-art science, global collaboration and buy-in, transparency and openness in an initiative to calculate and communicate earthquake risk worldwide. One of the first steps towards this objective has been the open-source development and release of software for seismic hazard and risk assessment called the OpenQuake engine. This software comprises a set of calculators capable of computing human or economic losses for a collection of assets, caused by a given scenario event, or by considering the probability of all possible events that might happen within a region within a certain time span. This paper provides an insight into the current status of the development of this tool and presents a comprehensive description of each calculator, with example results.

Repository with the inventory of residential, commercial and industrial buildings in North Asia Project Name Products North Asia Exposure Repository with the inventory of residential, commercial and industrial buildings in North Asia Share Facebook LinkedIn Description The Global Exposure Model is a mosaic of local and regional models with information regarding the residential, commercial, and industrial building stock at the smallest available administrative division of each country and includes details about the number of buildings, number of occupants, vulnerability characteristics, average built-up area, and average replacement cost. The dataset is developed and maintained by the GEM Foundation, using a bottom-up approach at the global scale, using national statistics, socio-economic data, and local datasets. This model allows the identification of the most common types of construction worldwide, regions with large fractions of informal construction, and areas prone to natural disasters with a high concentration of population and building stock. The North Asia region of the model includes information pertaining to Russia and Mongolia. How to cite this work Yepes-Estrada, C., Calderon, A., Costa, C., Crowley, H., Dabbeek, J., Hoyos, M., Martins, L., Paul, N., Rao, A., Silva, V. (2023). Global Building Exposure Model for Earthquake Risk Assessment. Earthquake Spectra. doi:10.1177/87552930231194048 Available Versions An open version (v2023.1) of the model, aggregated at Administrative Level 1, is available for direct download under a CC BY-NC-SA 4.0 license. Users interested in this version can click the "Open Repository" button in the right panel to access the information. The full version for any country/territory, at the highest resolution available, can be requested by clicking on the "License Request", where a specific license will be provided, depending on the use case. License information The open version is available under a Creative Commons CC BY-NC-SA 4.0 license, which requires: *Attribution (you must give appropriate credit, provide a link to the license, and indicate if changes were made) *Non-commercial (you may not use the material for commercial purposes) *ShareAlike (derivatives created must be made available under the same license as the original) Any deviation from these terms incur in license infringement. For commercial use of the model, a specific license agreement must be made tailored to your use case, in such instance please click on "License Request". 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Angola Risk Profile Anguilla Risk Profile Antigua and Barbuda Risk Profile Arabia Risk Profile Argentina Risk Profile Armenia Risk Profile Aruba Risk Profile Australia Risk Profile Austria Risk Profile Azerbaijan Risk Profile Bahamas Risk Profile Bahrain Risk Profile Bangladesh Risk Profile Barbados Risk Profile Belarus Risk Profile Belgium Risk Profile Belize Risk Profile Benin Risk Profile Bhutan Risk Profile Bolivia Risk Profile Bosnia and Herzegovina Risk Profile Botswana Risk Profile Brazil Risk Profile British Virgin Islands Risk Profile Brunei Risk Profile Bulgaria Risk Profile Burkina Faso Risk Profile Burundi Risk Profile Cambodia Risk Profile Cameroon Risk Profile Canada Risk Profile Cape Verde Risk Profile Caribbean Central America Risk Profile Cayman Islands Risk Profile Central African Republic Risk Profile Central Asia Risk Profile Chad Risk Profile Chile Risk Profile China Risk Profile Colombia Risk Profile Comoros Risk Profile Congo Risk Profile Conterminous US Risk 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Profile Mozambique Risk Profile Myanmar Risk Profile Namibia Risk Profile Nauru Risk Profile Nepal Risk Profile Netherlands Risk Profile New Caledonia Risk Profile New Zealand Risk Profile Nicaragua Risk Profile Niger Risk Profile Nigeria Risk Profile Niue Risk Profile North Africa Risk Profile North America Risk Profile North Asia Risk Profile North Korea Risk Profile North Macedonia Risk Profile North and South Korea Risk Profile Northeast Asia Risk Profile Northern Mariana Islands Risk Profile Northwest Asia Risk Profile Norway Risk Profile Oceania Risk Profile Oman Risk Profile Pacific Islands Risk Profile Pakistan Risk Profile Palau Risk Profile Palestine Risk Profile Panama Risk Profile Papua New Guinea Risk Profile Paraguay Risk Profile Peru Risk Profile Philippines Risk Profile Poland Risk Profile Portugal Risk Profile Puerto Rico Risk Profile Qatar Risk Profile Romania Risk Profile Russia Risk Profile Rwanda Risk Profile Saint Kitts and Nevis Risk Profile Saint Lucia Risk Profile Saint Vincent and the Grenadines Risk Profile Samoa Risk Profile Sao Tome and Principe Risk Profile Saudi Arabia Risk Profile Senegal Risk Profile Serbia Risk Profile Seychelles Risk Profile Sierra Leone Risk Profile Singapore Risk Profile Slovakia Risk Profile Slovenia Risk Profile Solomon Islands Risk Profile Somalia Risk Profile South Africa Risk Profile South America Risk Profile South Asia Risk Profile South Korea Risk Profile Search Found Country/Region Resource Url Afghanistan Exposure Africa Exposure Alaska Exposure Albania Exposure Algeria Exposure American Samoa Exposure Andorra Exposure Angola Exposure Anguilla Exposure Antigua and Barbuda Exposure Arabia Exposure Argentina Exposure Armenia Exposure Aruba Exposure Australia Exposure Austria Exposure Azerbaijan Exposure Bahamas Exposure Bahrain Exposure Bangladesh Exposure Barbados Exposure Belarus Exposure Belgium Exposure Belize Exposure Benin Exposure Bhutan Exposure Bolivia Exposure Bosnia and Herzegovina Exposure 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Exposure Gibraltar Exposure Greece Exposure Grenada Exposure Guadeloupe Exposure Guam Exposure Guatemala Exposure Guinea Exposure Guinea Bissau Exposure Guyana Exposure Haiti Exposure Hawaii Exposure Honduras Exposure Hong Kong Exposure Hungary Exposure Iceland Exposure India Exposure Indonesia Exposure Iran Exposure Iraq Exposure Ireland Exposure Isle of Man Exposure Israel Exposure Italy Exposure Ivory Coast Exposure Jamaica Exposure Japan Exposure Jordan Exposure Kazakhstan Exposure Kenya Exposure Kiribati Exposure Kosovo Exposure Kuwait Exposure Kyrgyzstan Exposure Laos Exposure Latvia Exposure Lebanon Exposure Lesotho Exposure Liberia Exposure Libya Exposure Liechtenstein Exposure Lithuania Exposure Luxembourg Exposure Macao Exposure Madagascar Exposure Malawi Exposure Malaysia Exposure Mali Exposure Malta Exposure Marshall Islands Exposure Martinique Exposure Mauritania Exposure Mauritius Exposure Mexico Exposure Micronesia Exposure Middle East Exposure Moldova Exposure Monaco Exposure Mongolia Exposure Montenegro Exposure Montserrat Exposure Morocco Exposure Mozambique Exposure Myanmar Exposure Namibia Exposure Nauru Exposure Nepal Exposure Netherlands Exposure New Caledonia Exposure New Zealand Exposure Nicaragua Exposure Niger Exposure Nigeria Exposure Niue Exposure North Africa Exposure North America Exposure North Asia Exposure North Korea Exposure North Macedonia Exposure North and South Korea Exposure Northeast Asia Exposure Northern Mariana Islands Exposure Northwest Asia Exposure Norway Exposure Oceania Exposure Oman Exposure Pacific Islands Exposure Pakistan Exposure Palau Exposure Palestine Exposure Panama Exposure Papua New Guinea Exposure Paraguay Exposure Peru Exposure Philippines Exposure Poland Exposure Portugal Exposure Puerto Rico Exposure Qatar Exposure Romania Exposure Russia Exposure Rwanda Exposure Saint Kitts and Nevis Exposure Saint Lucia Exposure Saint Vincent and the Grenadines Exposure Samoa Exposure Sao Tome and Principe Exposure 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Search Found Country/Region Resource Url Afghanistan Vulnerability Africa Vulnerability Alaska Vulnerability Albania Vulnerability Algeria Vulnerability American Samoa Vulnerability Andorra Vulnerability Angola Vulnerability Anguilla Vulnerability Antigua and Barbuda Vulnerability Arabia Vulnerability Argentina Vulnerability Armenia Vulnerability Aruba Vulnerability Australia Vulnerability Austria Vulnerability Azerbaijan Vulnerability Bahamas Vulnerability Bahrain Vulnerability Bangladesh Vulnerability Barbados Vulnerability Belarus Vulnerability Belgium Vulnerability Belize Vulnerability Benin Vulnerability Bhutan Vulnerability Bolivia Vulnerability Bosnia and Herzegovina Vulnerability Botswana Vulnerability Brazil Vulnerability British Virgin Islands Vulnerability Brunei Vulnerability Bulgaria Vulnerability Burkina Faso Vulnerability Burundi Vulnerability Cambodia Vulnerability Cameroon Vulnerability Canada Vulnerability Cape Verde Vulnerability Caribbean Central America Vulnerability Cayman Islands Vulnerability Central African Republic Vulnerability Central Asia Vulnerability Chad Vulnerability Chile Vulnerability China Vulnerability Colombia Vulnerability Comoros Vulnerability Congo Vulnerability Conterminous US Vulnerability Cook Islands Vulnerability Costa Rica Vulnerability Croatia Vulnerability Cuba Vulnerability Cyprus Vulnerability Czechia Vulnerability Democratic Republic of the Congo Vulnerability Denmark Vulnerability Djibouti Vulnerability Dominica Vulnerability Dominican Republic Vulnerability East Asia Vulnerability Ecuador Vulnerability Egypt Vulnerability El Salvador Vulnerability Equatorial Guinea Vulnerability Eritrea Vulnerability Estonia Vulnerability Eswatini Vulnerability Ethiopia Vulnerability Europe Vulnerability Fiji Vulnerability Finland Vulnerability France Vulnerability French Guiana Vulnerability Gabon Vulnerability Gambia Vulnerability Georgia Vulnerability Germany Vulnerability Ghana Vulnerability Gibraltar Vulnerability Greece Vulnerability Grenada Vulnerability Guadeloupe Vulnerability Guam Vulnerability Guatemala Vulnerability Guinea Vulnerability Guinea Bissau Vulnerability Guyana Vulnerability Haiti Vulnerability Hawaii Vulnerability Honduras Vulnerability Hong Kong Vulnerability Hungary Vulnerability Iceland Vulnerability India Vulnerability Indonesia Vulnerability Iran Vulnerability Iraq Vulnerability Ireland Vulnerability Isle of Man Vulnerability Israel Vulnerability Italy Vulnerability Ivory Coast Vulnerability Jamaica Vulnerability Japan Vulnerability Jordan Vulnerability Kazakhstan Vulnerability Kenya Vulnerability Kiribati Vulnerability Kosovo Vulnerability Kuwait Vulnerability Kyrgyzstan Vulnerability Laos Vulnerability Latvia Vulnerability Lebanon Vulnerability Lesotho Vulnerability Liberia Vulnerability Libya Vulnerability Liechtenstein Vulnerability Lithuania Vulnerability Luxembourg Vulnerability Macao Vulnerability Madagascar Vulnerability Malawi Vulnerability Malaysia Vulnerability Mali Vulnerability Malta Vulnerability Marshall Islands Vulnerability Martinique Vulnerability Mauritania Vulnerability Mauritius Vulnerability Mexico Vulnerability Micronesia Vulnerability Middle East Vulnerability Moldova Vulnerability Monaco Vulnerability Mongolia Vulnerability Montenegro Vulnerability Montserrat Vulnerability Morocco Vulnerability Mozambique Vulnerability Myanmar Vulnerability Namibia Vulnerability Nauru Vulnerability Nepal Vulnerability Netherlands Vulnerability New Caledonia Vulnerability New Zealand Vulnerability Nicaragua Vulnerability Niger Vulnerability Nigeria Vulnerability Niue Vulnerability North Africa Vulnerability North America Vulnerability North Asia Vulnerability North Korea Vulnerability North Macedonia Vulnerability North and South Korea Vulnerability Northeast Asia Vulnerability Northern Mariana Islands Vulnerability Northwest Asia Vulnerability Norway Vulnerability Oceania Vulnerability Oman Vulnerability Pacific Islands Vulnerability Pakistan Vulnerability Palau Vulnerability Palestine Vulnerability Panama Vulnerability Papua New Guinea Vulnerability Paraguay Vulnerability Peru Vulnerability Philippines Vulnerability Poland Vulnerability Portugal Vulnerability Puerto Rico Vulnerability Qatar Vulnerability Romania Vulnerability Russia Vulnerability Rwanda Vulnerability Saint Kitts and Nevis Vulnerability Saint Lucia Vulnerability Saint Vincent and the Grenadines Vulnerability Samoa Vulnerability Sao Tome and Principe Vulnerability Saudi Arabia Vulnerability Senegal Vulnerability Serbia Vulnerability Seychelles Vulnerability Sierra Leone Vulnerability Singapore Vulnerability Slovakia Vulnerability Slovenia Vulnerability Solomon Islands Vulnerability Somalia Vulnerability South Africa Vulnerability South America Vulnerability South Asia Vulnerability South Korea Vulnerability Preview Preview is not available. Search Found Country/Region Resource Url Afghanistan Risk Profile Africa Risk Profile Alaska Risk Profile Albania Risk Profile Algeria Risk Profile American Samoa Risk Profile Andorra Risk Profile Angola Risk Profile Anguilla Risk Profile Antigua and Barbuda Risk Profile Arabia Risk Profile Argentina Risk Profile Armenia Risk Profile Aruba Risk Profile Australia Risk Profile Austria Risk Profile Azerbaijan Risk Profile Bahamas Risk Profile Bahrain Risk Profile Bangladesh Risk Profile Barbados Risk Profile Belarus Risk Profile Belgium Risk Profile Belize Risk Profile Benin Risk Profile Bhutan Risk Profile Bolivia Risk Profile Bosnia and Herzegovina Risk Profile Botswana Risk Profile Brazil Risk Profile British Virgin Islands Risk Profile Brunei Risk Profile Bulgaria Risk Profile Burkina Faso Risk Profile Burundi Risk Profile Cambodia Risk Profile Cameroon Risk Profile Canada Risk Profile Cape Verde Risk Profile Caribbean Central America Risk Profile Cayman Islands Risk Profile Central African Republic Risk Profile Central Asia Risk Profile Chad Risk Profile Chile Risk Profile China Risk Profile Colombia Risk Profile Comoros Risk Profile Congo Risk Profile Conterminous US Risk Profile Cook Islands Risk Profile Costa Rica Risk Profile Croatia Risk Profile Cuba Risk Profile Cyprus Risk Profile Czechia Risk Profile Democratic Republic of the Congo Risk Profile Denmark Risk Profile Djibouti Risk Profile Dominica Risk Profile Dominican Republic Risk Profile East Asia Risk Profile Ecuador Risk Profile Egypt Risk Profile El Salvador Risk Profile Equatorial Guinea Risk Profile Eritrea Risk Profile Estonia Risk Profile Eswatini Risk Profile Ethiopia Risk Profile Europe Risk Profile Fiji Risk Profile Finland Risk Profile France Risk Profile French Guiana Risk Profile Gabon Risk Profile Gambia Risk Profile Georgia Risk Profile Germany Risk Profile Ghana Risk Profile Gibraltar Risk Profile Greece Risk Profile Grenada Risk Profile Guadeloupe Risk Profile Guam Risk Profile Guatemala Risk Profile Guinea Risk Profile Guinea Bissau Risk Profile Guyana Risk Profile Haiti Risk Profile Hawaii Risk Profile Honduras Risk Profile Hong Kong Risk Profile Hungary Risk Profile Iceland Risk Profile India Risk Profile Indonesia Risk Profile Iran Risk Profile Iraq Risk Profile Ireland Risk Profile Isle of Man Risk Profile Israel Risk Profile Italy Risk Profile Ivory Coast Risk Profile Jamaica Risk Profile Japan Risk Profile Jordan Risk Profile Kazakhstan Risk Profile Kenya Risk Profile Kiribati Risk Profile Kosovo Risk Profile Kuwait Risk Profile Kyrgyzstan Risk Profile Laos Risk Profile Latvia Risk Profile Lebanon Risk Profile Lesotho Risk Profile Liberia Risk Profile Libya Risk Profile Liechtenstein Risk Profile Lithuania Risk Profile Luxembourg Risk Profile Macao Risk Profile Madagascar Risk Profile Malawi Risk Profile Malaysia Risk Profile Mali Risk Profile Malta Risk Profile Marshall Islands Risk Profile Martinique Risk Profile Mauritania Risk Profile Mauritius Risk Profile Mexico Risk Profile Micronesia Risk Profile Middle East Risk Profile Moldova Risk Profile Monaco Risk Profile Mongolia Risk Profile Montenegro Risk Profile Montserrat Risk Profile Morocco Risk Profile Mozambique Risk Profile Myanmar Risk Profile Namibia Risk Profile Nauru Risk Profile Nepal Risk Profile Netherlands Risk Profile New Caledonia Risk Profile New Zealand Risk Profile Nicaragua Risk Profile Niger Risk Profile Nigeria Risk Profile Niue Risk Profile North Africa Risk Profile North America Risk Profile North Asia Risk Profile North Korea Risk Profile North Macedonia Risk Profile North and South Korea Risk Profile Northeast Asia Risk Profile Northern Mariana Islands Risk Profile Northwest Asia Risk Profile Norway Risk Profile Oceania Risk Profile Oman Risk Profile Pacific Islands Risk Profile Pakistan Risk Profile Palau Risk Profile Palestine Risk Profile Panama Risk Profile Papua New Guinea Risk Profile Paraguay Risk Profile Peru Risk Profile Philippines Risk Profile Poland Risk Profile Portugal Risk Profile Puerto Rico Risk Profile Qatar Risk Profile Romania Risk Profile Russia Risk Profile Rwanda Risk Profile Saint Kitts and Nevis Risk Profile Saint Lucia Risk Profile Saint Vincent and the Grenadines Risk Profile Samoa Risk Profile Sao Tome and Principe Risk Profile Saudi Arabia Risk Profile Senegal Risk Profile Serbia Risk Profile Seychelles Risk Profile Sierra Leone Risk Profile Singapore Risk Profile Slovakia Risk Profile Slovenia Risk Profile Solomon Islands Risk Profile Somalia Risk Profile South Africa Risk Profile South America Risk Profile South Asia Risk Profile South Korea Risk Profile Preview Preview is not available. 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