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Center for Research on the Epidemiology of Disasters (CRED)

Center for Research on the Epidemiology of Disasters (CRED). ECONOMIC DATA IN EM-DAT: OVERVIEW OF RECENT PROGRESS. Presentation prepared for the 5th EM-DAT TAG Meeting Washington DC, the 18th of August 2005. ENHANCING ECONOMICAL DATA. Inclusion of new economical fields in EM-DAT

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Center for Research on the Epidemiology of Disasters (CRED)

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  1. Center for Research on the Epidemiology of Disasters (CRED) ECONOMIC DATA IN EM-DAT: OVERVIEW OF RECENT PROGRESS Presentation prepared for the 5th EM-DAT TAG Meeting Washington DC, the 18th of August 2005

  2. ENHANCING ECONOMICAL DATA • Inclusion of new economical fields in EM-DAT • Review and inclusion of new sources for economic data • Systematic revision of a sample of disaster looking for economical damage • Link to specific studies conducted by ECLAC and World Bank*

  3. INCLUSION OF NEW ECONOMICAL FIELDS IN THE DATABASE 1. Economical damage (enhanced) 2. Reconstruction cost 3. Insured losses 4. Aid contribution 5. Disaster impact and sectors affected

  4. INCLUSION OF NEW ECONOMICAL FIELDS IN THE DATABASE 1. Economical Damage caused by disasters • Total Damage (Impact of the disaster) • Direct damage (assets) • Indirect damage (losses) • By sector affected (based on ECLAC methodology) • Social: Housing, Education, Health • Infrastructure: Energy, Transport, Communication, Sewage • Production: Agriculture, Fisheries, Tourism, Industry and Services • Environment • Other

  5. INCLUSION OF NEW ECONOMICAL FIELDS IN THE DATABASE 2. Reconstruction Costs • Use of various sources • Not systematically entered yet • Used when no other information available 3. Insurance Losses • Sources used: MünichRe, SwissRe and Lloyd’s Casualty Week • All information entered for 2000 - 2004 • Used as a separate indicator

  6. INCLUSION OF NEW ECONOMICAL FIELDS IN THE DATABASE 4. International Assistance • Only one source used: FTS (OCHA) • All figures entered (10% from all natural disasters in EM-DAT) included since 1993 (except regional event) • Mostly related to developing countries or countries in transition

  7. INCLUSION OF NEW ECONOMICAL FIELDS IN THE DATABASE 5. Disaster Impact and Sectors Affected • Figures (real number or %) on the number of houses, bridges, commercial/businesses, km roads and rails, educational and health infrastructure, hec. forests and farmland damaged/destroyed • “Check box” for other sectors affected: animals, industry, electricity, water supply/sanitation, communication, cultural infrastructure, transportation, etc. …

  8. NEW DATA ENTRY SCREEN

  9. NEW SOURCES OF REPORTING ECONOMICAL DATA (1) New sources compiled and added: • ECLAC : • + 30 economic damage assessment studies • List of disasters economical damage since 1973 • World Bank studies : + 10 assessment studies using ECLAC Methodology • Mexico data (CENAPRED): multiple events reported using ECLAC methodology over the last years disasters TOTAL: + 100 disasters with economical information (2) Other sources still need to be explore (Factiva, Celade, Redatam)

  10. NEW SOURCES OF REPORTING ECONOMICAL DATA

  11. SYSTEMATIC REVISION ON EM-DAT FILES LOOKING FOR ECONOMICAL DATA Sources Review • Governmental sources • Disaster agencies and Humanitarian agencies (e.g. IFCR, OCHA) • Health agencies (e.g. WHO, CDC) • Specialised and Scientific agencies: (WMO, UNEP) • Insurance Companies: LLC, MünichRe, SwissRe • Press Agencies: AFP, Reuters Results • 50 big disasters review between 2002 to 2004 • 13 out of 50 include Total Economical Damage • 2 out of 50 include a breakdown between Direct and Indirect Damage

  12. Methodology 1. Identification of problems • Lack of information • Variations in figures according sources reporting data • Coverage of the damage figures: what kind of losses included in economic data?

  13. Methodology 2. Proposed solutions? • Reinforce the collaboration between partners • Establishment of a strict methodology for entering economic data • Give access to specific users to figures given by different sources with inclusion of reliability score

  14. Thank you

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