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Global Assessment Report on Disaster Risk Reduction 2013
From Shared Risk to Shared Value: the Business Case for Disaster Risk Reduction |
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Global Assessment Report on Disaster Risk Reduction 2013
From Shared Risk to Shared Value: the Business Case for Disaster Risk Reduction |
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Notes
i See for example: http://www.undp.org/content/undp/en/
home/presscenter/events/2012/october/international_day_disaster_reduction.
ii Swiss Re. publishes regular updates on insured losses globally via its SIGMA statistics and publications (e.g. Swiss Re 2012). MunichRe., via its NatCatService platform and its Touch – Natural Hazards service portal, provides analyses, statistics and services on all aspects of natural hazards: http://www.munichre.com/en/reinsurance/business/non-life/georisks/natcatservice/default.aspx.
iii Governments, with the support of the UN, the World Bank or regional development banks, conduct economic assessments of intensive disasters using variations of the ECLAC methodology (ECLAC, 2003
ECLAC (United Nations Economic Commission for Latin America and the Caribbean). 2003.,Handbook for Estimating the Socio-economic and Environmental Effects of Disasters., LC/MEX/G.5 LC/L.1874.. . iv EMDAT: The OFDA/CRED International Disaster Database: www.emdat.net. Université catholique de Louvain – Brussels – Belgium. EMDAT is a global database that registers reports of disasters above its threshold of 10 deaths, 100 affected people, or a call for international assistance.
v Only the 40 countries with the highest losses were selected for this graph to enable visualisation at common scales. See Annex 2 for information on progress in the development of national disaster loss databases, economic loss estimation and merging of global and national datasets.
vi See www.munichre.com/touch/naturalhazards and www.emdat.be.
vii Only the 40 countries with the highest losses were selected for this graph to enable visualisation at common scales. See Annex 2 for information on progress in the development of national disaster loss databases, economic loss estimation and merging of global and national datasets.
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