License Request Form You have chosen to get more information about: Caribbean & Central America Exposure Exposure Please check the link below to see if this product already meets your your requirements before submitting your request for a license. Thank you. DOWNLOAD THE OPEN VERSION Summary of steps to obtain a license for the requested product. Fill in the application form below. Click Submit. Please check your email Inbox or Spam folder for the summary of your request. You will then be contacted by the GEM Product Manager with either a request for more information, or a request to sign the license. If you do not hear from us within 2 weeks, please send an email to product@globalquakemodel.org . REQUEST DETAILS A. Requesting party information First Name Last Name Role/Job Email Business type Business type Other business Sector Sector Other sector B. License agreement signatory information The signatory must be someone who is authorised to sign license agreements on your behalf such as your immediate supervisor, manager or legal officer. If you’re a PhD student, the signatory must be your adviser or a university officer in charge of license agreements or similar legal documents. Full Name of Signatory Position Company Email of Signatory Organisation name Complete Address C. Purpose of request GEM is able to offer products for free because of the support of our project partners, national collaborators and institutional sponsors. All of GEM’s products are freely available for public good, non-commercial use, but with different license restrictions. In most cases we release products under an open license (e.g., CC BY-SA or CC BY-NC-SA), which permits (re)distribution. In this case, we are granting access under a more restricted license that forbids distribution or disclosure and requires signing by GEM and the licensee in order to better assure accountability for the confidentiality of the information. In order for GEM to properly assess your request, please answer the following questions below. 1. Explain briefly how will the GEM product be used e.g. project, research including the expected results and the foreseen public benefit. 2. Will you be able to share the results of your work with GEM? YES NO 3. Will you be able to provide feedback to GEM on the quality and usefulness of this product via a survey? YES NO C. Privacy Policy By submitting this form, you consent to the processing of your personal data in accordance with our Privacy Policy and the EU General Data Protection Regulation (GDPR). We are committed to safeguarding your information and ensuring it is only used for the purpose outlined in this form. You have the right to access, rectify, or delete your data at any time. For more information, please refer to our Privacy Policy. I agree Words: 0 Email us at product@globalquakemodel.org if you're experiencing problems submitting your application. Thank you. Submit Thanks for submitting! You will be contacted as soon as possible Incomplete data. Please fill in all required fields. Thank you.

Repository with the inventory of residential, commercial and industrial buildings in East Asia Project Name Products East Asia Exposure Repository with the inventory of residential, commercial and industrial buildings in East 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 East Asia region of the model includes information pertaining to the following countries/territories: China, Hong Kong, Japan, Macao, North Korea, South Korea, and Taiwan. 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". Share License CC BY-NC-SA 4.0 Available resources Open Repository License Request Facebook LinkedIn text Map View Search Popup title Close Country/Region Available Resources 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 Botswana Exposure Brazil Exposure British Virgin Islands Exposure Brunei Exposure Bulgaria Exposure Burkina Faso Exposure Burundi Exposure Cambodia Exposure Cameroon Exposure Canada Exposure Cape Verde Exposure Caribbean Central America Exposure Cayman Islands Exposure Central African Republic Exposure Central Asia Exposure Chad Exposure Chile Exposure China Exposure Colombia Exposure Comoros Exposure Congo Exposure Conterminous US Exposure Cook Islands Exposure Costa Rica Exposure Croatia Exposure Cuba Exposure Cyprus Exposure Czechia Exposure Democratic Republic of the Congo Exposure Denmark Exposure Djibouti Exposure Dominica Exposure Dominican Republic Exposure East Asia Exposure Ecuador Exposure Egypt Exposure El Salvador Exposure Equatorial Guinea Exposure Eritrea Exposure Estonia Exposure Eswatini Exposure Ethiopia Exposure Europe Exposure Fiji Exposure Finland Exposure France Exposure French Guiana Exposure Gabon Exposure Gambia Exposure Georgia Exposure Germany Exposure Ghana 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 Saudi Arabia Exposure Senegal Exposure Serbia Exposure Seychelles Exposure Sierra Leone Exposure Singapore Exposure Slovakia Exposure Slovenia Exposure Solomon Islands Exposure Somalia Exposure South Africa Exposure South America Exposure South Asia Exposure South Korea Exposure Country/Region Available Resources 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 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 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 Botswana Exposure Brazil Exposure British Virgin Islands Exposure Brunei Exposure Bulgaria Exposure Burkina Faso Exposure Burundi Exposure Cambodia Exposure Cameroon Exposure Canada Exposure Cape Verde Exposure Caribbean Central America Exposure Cayman Islands Exposure Central African Republic Exposure Central Asia Exposure Chad Exposure Chile Exposure China Exposure Colombia Exposure Comoros Exposure Congo Exposure Conterminous US Exposure Cook Islands Exposure Costa Rica Exposure Croatia Exposure Cuba Exposure Cyprus Exposure Czechia Exposure Democratic Republic of the Congo Exposure Denmark Exposure Djibouti Exposure Dominica Exposure Dominican Republic Exposure East Asia Exposure Ecuador Exposure Egypt Exposure El Salvador Exposure Equatorial Guinea Exposure Eritrea Exposure Estonia Exposure Eswatini Exposure Ethiopia Exposure Europe Exposure Fiji Exposure Finland Exposure France Exposure French Guiana Exposure Gabon Exposure Gambia Exposure Georgia Exposure Germany Exposure Ghana 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 Saudi Arabia Exposure Senegal Exposure Serbia Exposure Seychelles Exposure Sierra Leone Exposure Singapore Exposure Slovakia Exposure Slovenia Exposure Solomon Islands Exposure Somalia Exposure South Africa Exposure South America Exposure South Asia Exposure South Korea Exposure Preview Preview is not available. 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. Related products Global Exposure Model Country-Territory Seismic Risk Profiles Global Seismic Risk Map Global Seismic Hazard Map Related publications For downloading or accessing detailed product information like PNG/PDF maps, datasets, license request, shapefiles and more, please switch to a desktop or laptop computer. Thank you for your understanding.

News GEM-USGS Project to Enhance Earthquake Load Assessments Worldwide By: Sep 29, 2023 Share Facebook LinkedIn In a significant collaborative effort between the Global Earthquake Model Foundation (GEM) and the U.S. Geological Survey (USGS), funded by the U.S. Department of State (DoS) and the U.S. Department of Defense (DoD), the ASCE Earthquake Loads Overseas (AELO) project is making steady progress in providing updated global assessments of seismic actions for design. The primary objective of the project is to create a web service capable of calculating design ground motions, both on rock and soil, in adherence to the American Society of Civil Engineers (ASCE) guidelines. These guidelines include ASCE 7-16, ASCE 41-17, ASCE 7-22, and ASCE 41-23. This web service heavily relies on the hazard models that are part of GEM’s global mosaic and the OpenQuake Engine. The project's planned activities span four years and include various critical components: Calculation of design values for peak ground acceleration (PGA), Ss, and S1 under rock site conditions, in accordance with ASCE 7-16 and ASCE 41-17. Development of a web service for computing design ground motions based on ASCE 7-16 and ASCE 41-17. Computation of ground motions for soil conditions across the entire spectrum, following ASCE 7-22 and ASCE 41-23, for the same 500 global locations. Development of web service for computing design ground motions based on ASCE 7-22 and ASCE 41-23. The project's accomplishments to date include the calculation of a set of Maximum Considered Earthquake (MCE) ground motions for around 500 global sites. To achieve these results, several updates and improvements were made to the GEM global seismic hazard mosaic, particularly regarding the definition of the ground-motion characterization (GMC) and the homogenisation of models (e.g. definition of the minimum magnitude). In the first half of 2023, the project focused on developing an Application Programming Interface (API) for end-to-end calculations. This API facilitates the retrieval of probabilistic and deterministic hazard results, as well as governing ground-motion values, based on site coordinates. While the emphasis has been on the probabilistic aspect, progress is already evident in the later stages of the assessment. With a joint effort from the USGS and GEM IT and hazard teams, the project continues to evaluate its results by comparing them with site-specific reports where significant differences are noted. This diligent approach ensures the accuracy and reliability of the earthquake load assessments. Future work will encompass a broader spectrum of soil conditions, aligning with the updated ASCE7-22 and ASCE41-23 guidelines. No images found. GALLERY 1/0 VIDEO RELATED CONTENTS

License Request Form You have chosen to get more information about: Southeast Asia Hazard Hazard Please check the link below to see if this product already meets your your requirements before submitting your request for a license. Thank you. DOWNLOAD THE OPEN VERSION Summary of steps to obtain a license for the requested product. Fill in the application form below. Click Submit. Please check your email Inbox or Spam folder for the summary of your request. You will then be contacted by the GEM Product Manager with either a request for more information, or a request to sign the license. If you do not hear from us within 2 weeks, please send an email to product@globalquakemodel.org . REQUEST DETAILS A. Requesting party information First Name Last Name Role/Job Email Business type Business type Other business Sector Sector Other sector B. License agreement signatory information The signatory must be someone who is authorised to sign license agreements on your behalf such as your immediate supervisor, manager or legal officer. If you’re a PhD student, the signatory must be your adviser or a university officer in charge of license agreements or similar legal documents. Full Name of Signatory Position Company Email of Signatory Organisation name Complete Address C. Purpose of request GEM is able to offer products for free because of the support of our project partners, national collaborators and institutional sponsors. All of GEM’s products are freely available for public good, non-commercial use, but with different license restrictions. In most cases we release products under an open license (e.g., CC BY-SA or CC BY-NC-SA), which permits (re)distribution. In this case, we are granting access under a more restricted license that forbids distribution or disclosure and requires signing by GEM and the licensee in order to better assure accountability for the confidentiality of the information. In order for GEM to properly assess your request, please answer the following questions below. 1. Explain briefly how will the GEM product be used e.g. project, research including the expected results and the foreseen public benefit. 2. Will you be able to share the results of your work with GEM? YES NO 3. Will you be able to provide feedback to GEM on the quality and usefulness of this product via a survey? YES NO C. Privacy Policy By submitting this form, you consent to the processing of your personal data in accordance with our Privacy Policy and the EU General Data Protection Regulation (GDPR). We are committed to safeguarding your information and ensuring it is only used for the purpose outlined in this form. You have the right to access, rectify, or delete your data at any time. For more information, please refer to our Privacy Policy. I agree Words: 0 Email us at product@globalquakemodel.org if you're experiencing problems submitting your application. Thank you. Submit Thanks for submitting! You will be contacted as soon as possible Incomplete data. Please fill in all required fields. Thank you.

News Earthquake Risk Assessment: Current Challenges & Future Trends By: Mar 26, 2021 Share Facebook LinkedIn In this webinar organized by UCL EPICentre, London, GEM’s Vitor Silva discussed the current challenges in existing risk models, as well as how big data and machine learning can be incorporated in the risk assessment process to improve the current practice. With close to a hundred online participants, Vitor presented and discussed the current practice of earthquake hazard assessment, exposure modelling, and data collection using various methods – from mobile apps to satellite imagery. He also touched on validating risk models and scenario modelling. In his presentation, Vitor emphasized how cities around the world have expanded at a rapid rate within just 30 years or less explaining that there are several factors that can influence future exposure modelling such as proximity to major roads and to other cities, population, land value, and many other factors. Presenting a simulation of San Jose, Costa Rica urban growth , Vitor pointed out that “Rapid urbanization and increasing population are sources of epistemic and aleatory uncertainty that can be introduced in the model to get a range of trajectories of how the risk is expected to vary in the future.” He further added that the real importance of being able to incorporate uncertainties in the model “is not so much predicting the risk but introducing risk mitigation measures.” “What if we start retrofitting 10 000 buildings per year in the country? What if we improve the design regulation? What if we start discouraging certain building classes? What if we start making sure that people do not build on soft soils or close to active faults?,” Vitor asked to emphasize his point on risk mitigation measures against risk prediction. All of this information, according to Vitor, can be introduced in the model to see different trajectories of risk that can help a modeler pinpoint which one is going to lower the risk to an acceptable value. The Earthquake Risk Assessment: Current Challenges & Future Trends webinar was organized by the University College London (UCL) EPICentre as part of its Online Seminars series. For more information, visit https://www.ucl.ac.uk/epicentre . No images found. GALLERY 1/0 Gallery VIDEO RELATED CONTENTS

Publications Earthquake early warning for Portugal: part 2 – where is it beneficial? Share Facebook LinkedIn Download 2023 | Peer-reviewed An earthquake early warning system (EEWS) can provide valuable alerts before the destructive seismic waves arrive. This warning time can allow the adoption of protective measures by the population, which can translate into reduced casualties and economic savings. In the last centuries, Portugal was struck by several strong earthquakes (e.g., 1755 M ~ 8.5 Lisbon, 1969 M7.8 Algarve), whose magnitude and epicentre might allow large warning times. In this study, a probabilistic seismic hazard analysis (PSHA) model was used to generate a large stochastic event set for mainland Portugal, and the expected human impact (i.e., fatalities and injured) were estimated for each seismic event with and without the consideration of an EEWS. We evaluated different options for the reduction in the casualties considering the duration of the warning time, human reaction time, and the size of the buildings. The potential reduction in the human impact was converted into an economic benefit considering hospitalization costs and the statistical value of a human life in Portugal. The results indicate that such a system could significantly reduce the human and related economic losses in the Southwest of the country.

License Request Form You have chosen to get more information about: Global Exposure Model Exposure Please check the link below to see if this product already meets your your requirements before submitting your request for a license. Thank you. DOWNLOAD THE OPEN VERSION Summary of steps to obtain a license for the requested product. Fill in the application form below. Click Submit. Please check your email Inbox or Spam folder for the summary of your request. You will then be contacted by the GEM Product Manager with either a request for more information, or a request to sign the license. If you do not hear from us within 2 weeks, please send an email to product@globalquakemodel.org . REQUEST DETAILS A. Requesting party information First Name Last Name Role/Job Email Business type Business type Other business Sector Sector Other sector B. License agreement signatory information The signatory must be someone who is authorised to sign license agreements on your behalf such as your immediate supervisor, manager or legal officer. If you’re a PhD student, the signatory must be your adviser or a university officer in charge of license agreements or similar legal documents. Full Name of Signatory Position Company Email of Signatory Organisation name Complete Address C. Purpose of request GEM is able to offer products for free because of the support of our project partners, national collaborators and institutional sponsors. All of GEM’s products are freely available for public good, non-commercial use, but with different license restrictions. In most cases we release products under an open license (e.g., CC BY-SA or CC BY-NC-SA), which permits (re)distribution. In this case, we are granting access under a more restricted license that forbids distribution or disclosure and requires signing by GEM and the licensee in order to better assure accountability for the confidentiality of the information. In order for GEM to properly assess your request, please answer the following questions below. 1. Explain briefly how will the GEM product be used e.g. project, research including the expected results and the foreseen public benefit. 2. Will you be able to share the results of your work with GEM? YES NO 3. Will you be able to provide feedback to GEM on the quality and usefulness of this product via a survey? YES NO C. Privacy Policy By submitting this form, you consent to the processing of your personal data in accordance with our Privacy Policy and the EU General Data Protection Regulation (GDPR). We are committed to safeguarding your information and ensuring it is only used for the purpose outlined in this form. You have the right to access, rectify, or delete your data at any time. For more information, please refer to our Privacy Policy. I agree Words: 0 Email us at product@globalquakemodel.org if you're experiencing problems submitting your application. Thank you. Submit Thanks for submitting! You will be contacted as soon as possible Incomplete data. Please fill in all required fields. Thank you.

Publications OpenQuake Engine: An Open Hazard (and Risk) Software for the Global Earthquake Model Share Facebook LinkedIn Download 2014 | Peer-reviewed Since its inception in the 1960s, probabilistic seismic‐hazard analysis (PSHA) (Cornell, 1968; McGuire, 2004, 2008) has emerged as the principal methodology for assessing the potential hazard posed by earthquake ground motion in a broad range of contexts. Seismic‐hazard analysis serves different needs coming from a wide spectrum of users and applications. These may encompass engineering design, assessment of earthquake risk to portfolios of assets within the insurance and reinsurance sectors, engineering seismological research, and effective mitigation via public policy in the form of urban zoning and building design code formulation. End users of seismic‐hazard analyses from...

News GEM releases a new earthquake loss model for China By: Apr 21, 2022 Share Facebook LinkedIn Pavia, Italy. 21 April 2022. Today GEM released its Earthquake Loss Model for China via Nasdaq Risk Modelling for Catastrophes and Verisk Touchstone platforms. The model is also available in its native OpenQuake format via GEM’s China Model product page . The China model has been developed by GEM using public sources of information, such as past seismicity, and geodetic and geologic data for the hazard component, combined with exposure and vulnerability data to create the risk model. The model’s hazard component incorporates both fault and area sources, while the risk component provides estimates of risk to residential, commercial and industrial buildings using GEM’s vulnerability models appropriate to Chinese construction practice. The model also includes exposure data that can be used to estimate total losses to the building stock in addition to portfolio losses. “GEM's China Earthquake Loss Model has met the highest insurance industry standards required for all catastrophe risk management processes. The model validation process involving GEM partners and catastrophe modelling experts from Hannover Re, Swiss Re, Guy Carpenter, Partner Re and the Institute of Catastrophe Risk Management - NTU Singapore is a testament to GEM’s open, transparent and collaborative approach to earthquake risk modelling.” - Jörg Steffensen , Hannover Re and GEM Governing Board Chair. “This has been a unique and productive experience for GEM. The fusion of public and private sectors’ interests reinforced GEM’s commitment to provide an alternative view of risk to the world. Informed by industry expertise and data, a diverse team worked together to fully assess risk and incorporate innovative model development processes which can serve as a blueprint for GEM’s future models.” - John Schneider , GEM Secretary General. Over the last centuries, China has been affected by several seismic events of high magnitude. The combination of high seismicity, exposure and population density led to costly events with a high number of fatalities. Between 1500 and 2004, China was the country that registered the largest number of earthquake fatalities. This new model will provide physical damage and financial loss metrics due to earthquake ground shaking hazard for scenario events and probabilistic risk assessment, both vital in addressing the insurance protection gap and disaster risk reduction management in China. Open and collaborative model testing and validation process - a trailblazing approach GEM sponsor representatives from Hannover Re (Jörg Steffensen), Swiss Re (Michael Ewald, Beat Aeberhardt), Guy Carpenter (Matthew Eagle), Partner Re (Paul Della Marta), and the Institute of Catastrophe Risk Management - NTU Singapore (Tso-Chien Pan), helped GEM in establishing a model testing and validation process using industry loss and exposure data where relevant, and evaluated the model against their own portfolios in order to better understand the model and provide advice to the GEM Foundation technical and scientific teams. Matthew Eagle , Head of Model Solutions & Advisory, Guy Carpenter said: “The new China Earthquake Loss Model represents an independent view of risk developed by the GEM Secretariat technical team, combined with broad industry review and validation through a panel of industry risk modelling experts from a number of leading insurance sector companies. Guy Carpenter was delighted to be involved in this initiative to support bringing additional views of risk to the market with added flexibility on the modelling platform deployment.” Beat Aeberhardt , Head Cat Perils Research and Development, Swiss Re Institute said: “GEM's China Earthquake Loss Model sets a new standard by combining GEM's subject matter expertise and innovative modelling approach with the open-source loss modelling framework OASIS. This joint development has facilitated rigorous co-validation by a panel of risk modelling experts from various insurance industry segments. We have been delighted to be part of this journey along with natural catastrophe experts from Hannover Re, Partner Re, Guy Carpenter and the Institute of Catastrophe Risk Management - NTU Singapore. Now we are excited about the model's commercial launch via Nasdaq Risk Modelling in the Oasis modelling framework and the VERISK Touchstone platform. It is amazing to see how GEM's cutting-edge subject matter expertise finds a way to risk model practitioners via an open-source channel. This model offers a novel level of transparency, commercial independence, and true choice for the re/insurance industry. We are looking forward to the next steps into a new area of insurance natural catastrophe risk assessment, with an ever-stronger community joining forces to master hard-to-model earthquake risk in this open book spirit enabled by GEM and Oasis LMF.” ----- About GEM’s Products and Services As part of GEM’s products and services strategy, GEM is offering value-added products for a fee such as the new China Model. These value-added products will also be available for free for public-good, non-commercial applications. In turn, the revenue generated from product or services fees will be reinvested to maintain GEM’s core capabilities, with an emphasis on providing support to developing countries. —-- END —-- Contacts: Nasdaq Risk Modelling for Catastrophes Platform https://www.nasdaq.com/solutions/global-earthquake-model-gem Verisk Touchstone Platform https://www.air-worldwide.com/contact/purchasing-and-licensing/ GEM Foundation product@globalquakemodel.org No images found. GALLERY 1/4 Gallery VIDEO RELATED CONTENTS

Post Event List PURPOSE The purpose of this page is to provide GEM website visitors, researchers, loss modellers, and emergency and disaster risk reduction professionals with specific downloadable information related to red alert events based on USGS PAGER alerts. GEM promotes the sharing of seismic hazard and risk information with a wide range of stakeholders to enhance understanding of damaging earthquake events. This initiative aims not only to give an overview of the models, data and publications available in areas recently impacted by earthquakes, but also hopes to serve as a resource that can inform future risk reduction strategies. The information provided is intended solely for situational awareness purposes and is not aimed towards driving an official emergency response. Please contact your local authorities for further assistance related to official emergency response services and support. Test Event 4 Homepage Banner Second round of add and edit tests for the post-event Homepage Banner USGS PAGER Alert https://earthquake.usgs.gov/data/pager/ Related GEM Products Name Description Caribbean & Central America Exposure Repository with the inventory of residential, commercial and industrial buildings in the Caribbean and Central America No content. Related GEM Publications Development of a Fragility Model for the Residential Building Stock in South America Calibrating collapse and fatality rates for the assessment of fatalities due to earthquakes A Database and Empirical Model for Earthquake Post Loss Amplification User guide Android mobile tool for field data collection Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications Earthquake-induced liquefaction and landslides in Cali, Colombia Development of the Earthquake Risk Model for Myanmar Seismic Risk Model for the Beijing–Tianjin–Hebei Region, China-Considering Epistemic Uncertainty from the Seismic Hazard Models Strain partitioning in the Southeastern Tibetan Plateau from kinematic modeling of high-resolution Sentinel-1 InSAR and GNSS A township-level exposure model of residential buildings for mainland China Seismic Risk Model for the Beijing–Tianjin–Hebei Region, China-Considering Epistemic Uncertainty from the Seismic Hazard Models A township-level exposure model of residential buildings for mainland China Appraising the PSHA earthquake source models of Japan, New Zealand, and Taiwan Significant Seismic Risk Potential From Buried Faults Beneath Almaty City, Kazakhstan, Revealed From High-Resolution Satellite DEMs Material didáctico para sensibilizar a la comunidad sobre el riesgo sísmico. Aplicación para el Área Metropolitana del Valle de Aburrá (AMVA) Ranking and developing ground-motion models for Southeastern Africa No content. Other Related Products GEM's country risk profile for Afghanistan GEM vulnerability model for Afghanistan GEM exposure model for Afghanistan (admin 1) GEM vulnerability model for Russia test GEM's country risk profile for Myanmar GEM vulnerability model for Myanmar GEM exposure model for China (admin 1) GEM vulnerability model for China GEM's country risk profile for China GEM exposure model for China (admin 1) GEM vulnerability model for China GEM's country risk profile for China GEM vulnerability model for Japan GEM exposure model for Japan (admin 1) GEM's country risk profile for Japan Japan Seismic Hazard Information Station GEM Earthquake Scenario Database (Japan events) Other Related Publications GEM's PSHA input model documentation for Middle East 1234 Yang et al. (2023) Probabilistic seismic hazard assessments for Myanmar and its metropolitan areas. Geoscience Letters, 10(1), 48 Tun et al. (2017) The Sagaing Fault, Myanmar. In A. J. Barber, K. Zaw, & M. J. Crow (Eds.), Myanmar: Geology, Resources and Tectonics (Vol. 48, p. 0). The Geological Society of London GEM's PSHA input model documentation for SouthEast Asia GEM's PSHA input model documentation for China GEM's PSHA input model documentation for China GEM's PSHA input model documentation for Japan DISCLAIMER The information and data provided on this page are for informational purposes only. The Global Earthquake Model (GEM) Foundation makes no warranties, expressed or implied, regarding the accuracy, completeness, or reliability of the data. Users are responsible for their own interpretation and use of the information. GEM shall not be liable for any loss, damage, or injury arising from the use of, or reliance on, the information provided on this page. By downloading or utilising the data, users acknowledge and agree to these terms. The information presented on this page is provided by different organisations and governed by different licenses, please check the individual license before use. CONTACT US