Project Name Products North America Exposure Repository with the inventory of residential, commercial and industrial buildings in North America Share Facebook X (Twitter) 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 America region of the model includes the information pertaining Canada, Mexico and the United States of America. For the cases of the United States and Canada, the exposure model is built upon datasets obtained with collaboration from our partnerships with the United States Geological Service (USGS) and Natural Resources Canada (NRCan). Information about the original data sources can be found in the documentation . 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 X (Twitter) LinkedIn text Map View Search Popup title Close Country/Region Available Resources Country/Region Available Resources Country/Region Resource Url Search Found Country/Region Resource Url Preview Preview is not available. Search Found Country/Region Resource Url Preview Preview is not available. Search Found Country/Region Resource Url Preview Preview is not available. Related products Global Exposure Model Global Vulnerability Model Global Seismic Risk Map Country-Territory Seismic Risk Profiles 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.

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Global Earthquake Maps Global Exposure Model VIEWER PDF PNG CONTRIBUTORS DOCUMENTATION References ​ TECHNICAL DESCRIPTION The Global Exposure Map (v2018.1) presents the geographic distribution of residential, commercial and industrial buildings. The number of buildings is presented on a hexagonal grid, with a spacing of 0.30 x 0.34 decimal degrees (approximately 1,000 km2 at the equator). The datasets employed to develop this exposure map were provided by national institutions, or developed within the scope of regional programs or bilateral collaborations. This global map and the underlying databases are based on best available and publicly accessible datasets and models. The Global Exposure Map is intended to be a dynamic product, such that it may be updated when new datasets and models become available. Releases of updated versions of the Global Exposure Map are anticipated on a regular basis. Additional exposure and risk metrics for each country can be explored at https://www.globalquakemodel.org/gem. Many thanks to our Sponsors and Contributors. Cite this work as: V Silva, D Amo-Oduro, A Calderon, J Dabbeek, V Despotaki, L Martins, A Rao, M Simionato, D Viganò, C Yepes, A Acevedo, N Horspool, H Crowley, K Jaiswal, M Journeay, M Pittore (2018). Global Earthquake Model (GEM) Exposure Map (version 2018.1). DOI: 10.13117/GEM-GLOBAL-EXPOSURE-MAP-2018.1 This work is licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA): https://creativecommons.org/licenses/by-nc-sa/4.0/ Legal statements This map was created for dissemination purposes. The information included in this map must not be used for the design of earthquake-resistant structures or to support any important decision involving human life, capital and movable and immovable properties. The values of seismic hazard in this map do not constitute an alternative nor do they replace building actions defined in national building codes. Readers seeking this information should consult national databases. This hazard map is the combination of results computed using 30 hazard input models covering the vast majority of landmass. These models represent the best information publicly accessible, and the GEM Foundation recognises their credibility and authoritativeness. This hazard map results from an integration process that is solely the responsibility of the GEM Foundation. MAJOR SPONSORS Verisk ARUP GEOSCIENCE AUSTRALIA CSSC NRCan EAFIT ETH ZURICH EUCENTRE FM GLOBAL GFZ GIROJ GNS SCIENCE HANNOVER RE MUNICH RE NTU ICRM NEPHILA NERC NIED NSET OYO PARTNER RE DPC SGC SWISS SER SWISS RE FOUNDATION SURAMERICANA TEM RCN USGS USAID WTW ZURICH INSURANCE

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Global Earthquake Maps Global Earthquake Social Vulnerability Map VIEWER PDF PNG CONTRIBUTORS DOCUMENTATION References Briguglio, L., Cordina, G., Farrugia, N. & Vella, S. 2009. Economic Vulnerability and Resilience: Concepts and Measurements. Oxford Development Studies, 37:3, 229-247, DOI: 10.1080/13600810903089893. Cutter, S. L., J. T. Mitchell, and M. S. Scott. 2000. Revealing the Vulnerability of People and Place: A Case Study of Georgetown County, South Carolina. Annals of the Association of American Geographers 90(4): 713-737. Cutter, S. L., B. J. Boruff, and W. L. Shirley. 2003. Social Vulnerability to Environmental Hazards. Social Science Quarterly 84 (2): 242-261. National Research Council. 2006. Facing Hazards and Disasters: Understanding Human Dimensions, Joseph Henry Press, Washington, D.C. Nersesian, W. 1988. Infant Mortality in Socially Vulnerable Populations. Ann. Rev. Public Health 9:361-377. Tierney, K. J., M. K. Lindell, and R. W. Perry. 2001. Facing the Unexpected: Disaster Preparedness and Response in the United States. Washington, D.C.: Joseph Henry Press. TECHNICAL DESCRIPTION The Global Social Vulnerability Map, is a composite index that was developed to measure characteristics or qualities of social systems that create the potential for loss or harm. Here, the social vulnerability index helps to explain why some countries will experience adverse impacts from earthquakes differentially where the linking of social capacities with demographic attributes suggests that communities with higher percentages of age dependent populations, homeless, disabled, under-educated, and foreign migrants are likely to exhibit higher social vulnerability than communities lacking these characteristics. Other relevant factors that affect the social vulnerability of populations include population density, slum populations, and international tourists. Criteria for indicator selection To choose indicators contextually exclusive for use in each map, the starting point was an exhaustive review of the literature on earthquake social vulnerability and resilience. For a variable to be considered appropriate and selected, three equally important criteria were met: - variables were justified based on the literature regarding its relevance to one or more of the indices. - variables needed to be of consistent quality and freely available from sources such as the United Nations and the World Bank; and - variables must be scalable or available at various levels of geography to promote sub-country level analyses. This procedure resulted in a ‘wish list’ of approximately 300 variables of which 78 were available and fit for use based on the three criteria. Process for indicator selection For variables to be allocated to an index, a two-tiered validation procedure was utilized. For the first tier, variables were assigned to each of the respective indices based on how each variable was cited within the literature, i.e., as being part of an index of social vulnerability, economic vulnerability, or recovery/resilience. For the second tier, machine learning and a multivariate ordinal logistic regression modelling procedure was used for external validation. Here, focus was placed on the statistical association between the socio-economic vulnerability indicators and the adverse impacts from historical earthquakes on a country-by country-basis. The Global Significant Earthquake Database provided the external validation metrics that were used as dependent variables in the statistical analysis. To include both severe and moderate earthquakes within the dependent variables, adverse impact data was collected from damaging earthquake events that conformed to at least one of five criteria: 1) caused deaths, 2) caused moderate damage (approximately $1 million USD or more), 3) had a magnitude 7.5 or greater 4) had a Modified Mercalli Intensity (MMI) X or greater, or 5) generated a tsunami. This database was chosen because it considers low magnitude earthquakes that were damaging (e.g., MW >=2.5 & MW<=5.5) and contains socio-economic data such as the total number of fatalities, injuries, houses damaged or destroyed, and dollar loss estimates in $USD. Countries not demonstrating at least a minimal earthquake risk, i.e., seismicity <0.05 PGA (Pagani et al. 2018) and <$10,000 USD in predicted average annual losses (Silva et al. 2018) were eliminated from the analyses so as not to include countries with minimal to no earthquake risk. A total study area consists of 136 countries. The Global Earthquake Model (GEM) Foundation The Global Socio-Economic Vulnerability Maps 2020 is a product of the GEM Foundation’s collaborative work with the Department of Geography at the University of Connecticut, USA. GEM is a non-profit foundation in Pavia, Italy funded through a public-private partnership with a vision to create a world that is resilient to earthquakes. Formed in 2009 through the initiative of the Organization for Economic Co-operation and Development (OECD) Global Science Forum in 2006, GEM participants represent national research and disaster management institutions; private sector companies mainly in insurance, risk financing and engineering; and academic and international organizations. GEM’s OpenQuake Platform website (platform.openquake.org) provides access to all of the data, models, tools and software behind the maps. GEM’s open-source OpenQuake engine enables probabilistic hazard and risk calculations worldwide and at all scales, from global down to regional, national, local, and site-specific applications in a single software package. GEM supports the Sendai Framework for Disaster Risk Reduction (SFDRR) goals by contributing openly accessible products for hazard and risk assessment and capacity development through risk reduction projects. GEM also serves as a baseline or exemplar for the development of a broader multi-hazard framework for risk assessment in support of a holistic and comprehensive approach to disaster risk reduction. Technical details on the development and compilation of the socio-economic vulnerability maps, underlying models and the list of contributors can be found at: https://www.globalquakemodel.org/svrmaps/Social-Vulnerability-Index-Technical-Description. How to use and cite this work Please cite this work as: C Burton, M. Toquica (September 2020). Global Earthquake Model (GEM) Social Vulnerability Map (version 2020.1) DOI: https://doi.org/10.13117/gem-social-vulnerability-map. This work is licensed under the terms of the Creative Commons Attribution - Non Commercial-Share Alike 4.0 International License (CC BY-NC-SA). Acknowledgements This map is the result of a collaborative effort and extensively relies on the enthusiasm and commitment of various organisations to openly share and collaborate. The creation of this map would not have been possible without the support provided by several public and private organisations during GEM’s second and third working programmes, 2014-2018 and 2019-2021 respectively. None of this would have been possible without the extensive support of all GEM Secretariat staff. These key contributions are profoundly acknowledged. A complete list of the contributors can be found at: www. globalquakemodel.org/global-social-vulnerability. Legal statements This map is an informational product created by the GEM Foundation for public dissemination purposes. The information included in this map must not be used for the design of seismic socio-economic policies or to support any important decisions involving human life, capital and movable and immovable properties. The values of social vulnerability and risk values used in this map do not constitute an alternative nor do they replace any national government policy or actions defined in national codes or earthquake risk estimates derived nationally. Readers seeking this information should contact the national authorities tasked with socio economic and risk assessment. The socio-economic vulnerability maps are based on the results of an integration process that is solely the responsibility of the GEM Foundation. Contact GEM (Global Earthquake Model) Foundation Via Ferrata, 1 - 27100, Pavia, Italy info@globalquakemodel.org . More information available at: www. globalquakemodel.org/global-social-vulnerability MAJOR SPONSORS Verisk ARUP GEOSCIENCE AUSTRALIA CSSC NRCan EAFIT ETH ZURICH EUCENTRE FM GLOBAL GFZ GIROJ GNS SCIENCE HANNOVER RE MUNICH RE NTU ICRM NEPHILA NERC NIED NSET OYO PARTNER RE DPC SGC SWISS SER SWISS RE FOUNDATION SURAMERICANA TEM RCN USGS USAID WTW ZURICH INSURANCE