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Global Flood Total Economic Loss Risk Deciles

Abstract: Global Flood Total Economic Loss Risk Deciles is a 2.5 minute grid of global flood total economic loss risks. A process of spatially allocating Gross

Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined

using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national

GDP has been spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data of

population distributions. A per capita contribution value is determined within each subnational unit, and this value is multiplied by the population per grid cell. Once a GDP value has been

determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a

grid cell by flood hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based

upon the calculated economic loss risks. This dataset 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).

Purpose: To provide insight into the relative frequency, distribution, and potential impact of global earthquake hazard events in relation to subnational

distributions of GDP.

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Geographic Coverage
 N: 85.0 S: -58.0  E: 180.0  W: -180.0

Data Set Citation
Version: 1.0

Science Keywords

ISO Topic Category

NDH >Natural Disaster Hotspots    [Information]

Creation and Review Dates
DIF Creation Date: 2013-02-07
Last DIF Revision Date: 2016-01-27

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