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    • Global Earthquake Proportional Economic Loss Risk Deciles

    Metadata Updated: December 6, 2023

    The Global Earthquake Proportional Economic Loss Risk Deciles is a 2.5 minute grid of earthquake hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    References

    https://doi.org/10.7927/H4TX3C9F
    https://doi.org/10.7927/H4BZ63ZS
    https://doi.org/10.7927/H4765C7S
    https://doi.org/10.7927/H43F4MH2

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date December 6, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Maps Download Page

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date December 6, 2023
    Publisher SEDAC
    Maintainer
    Identifier C179001773-SEDAC
    Data First Published 2005-12-31
    Language en-US
    Data Last Modified 2005-12-31
    Category NDH, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Bank for Reconstruction and Development - The World Bank. 2005-12-31. Global Earthquake Proportional Economic Loss Risk Deciles. Version 1.00. Palisades, NY. Archived by National Aeronautics and Space Administration, U.S. Government, Center for Hazards and Risk Research (CHRR)/Columbia University. https://doi.org/10.7927/H4ZP4415. https://doi.org/10.7927/H4ZP4415.
    Creator Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Bank for Reconstruction and Development - The World Bank
    Graphic Preview Description Maps Download Page
    Graphic Preview File https://sedac.ciesin.columbia.edu/data/set/ndh-earthquake-proportional-economic-loss-risk-deciles/maps
    Harvest Object Id 36bbfc15-3483-4b0a-8608-b5e52f7c9c78
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.7927/H4ZP4415
    Metadata Type geospatial
    Old Spatial -180.0 -58.0 180.0 86.0
    Program Code 026:001
    Related Documents https://doi.org/10.7927/H4TX3C9F, https://doi.org/10.7927/H4BZ63ZS, https://doi.org/10.7927/H4765C7S, https://doi.org/10.7927/H43F4MH2
    Release Place Palisades, NY
    Source Datajson Identifier True
    Source Hash 0111c865fe73bd8c44b0a589135e3ff6783b1e000762e1dd686f43b2468d6dbc
    Source Schema Version 1.1
    Spatial
    Temporal 2000-01-01T00:00:00Z/2000-12-31T00:00:00Z

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