ࡱ>  ?bjbj .7,,,,,@@@@<@-N|!-#-#-#-#-#-#-$/2vG-9,iiiG-,,-iv,,,.i!-r)T*&9X:),-0-)33**83,*iiiiiiiG-G-iii-iiii3iiiiiiiii : EU Results Framework Indicator methodology note 1. Name of indicatorNumber of (i) deaths per 100,000 and (ii) economic loss as a proportion of GDP, from climate-related and natural disasters - averaged over the last 10 years2. Which sector (using Result Framework heading)Natural Resources, Environment and Climate Change3. Technical Definition Disaster mortality per 100,000 population. Mortality is one of the most robust indicators of disaster loss, in both national as well as global disaster loss databases. Economic loss (replacement costs of damaged and destroyed assets) can be derived from physical damage and modelled using proxy values derived from the widely accepted ECLAC methodology (Economic Commission for Latin America and the Caribbean (ECLAC), 2003 Handbook for Estimating the Socio-economic and Environmental Effects of Disasters). Based on the ECLAC nomenclature a disaster affects: The exposed elements (direct damages). This category consists of damage to assets that occurred right at the time of the actual disaster. The flow for the production of goods and services (indirect losses). Indirect losses result from the consequences of physical destruction and are more difficult to identify then direct damages and they become apparent at different times after the disaster. The performances of the main economic variables of the country/region (macroeconomic effects). Macroeconomic effects quantification is usually done for the national economy as a whole. When damage to property is valued in a monetary unit, damages become direct losses. Direct losses and indirect losses together present total loss which can be broken down by sectors and loss owner, and can be aggregated at municipality, regional or national level. 4. Rationale (including which policy priority, and how is this indicator linked to that policy priority)Policy priorities for Disaster Risk Reduction (DRR) at the international level are reflected in the Hyogo Framework for Action 2005-2015. A new Framework is in preparation and is expected to be adopted in March 2015. The Communication "The Post-2015 Hyogo Framework for Action: Managing risks to achieve resilience" (COM 2014/216) reflects the Commission views in light of the new framework. For the EU development cooperation the policies on climate change and on DRR are reflected in the Communications on climate change "Building a Global Climate Change Alliance between the European Union and poor developing countries most vulnerable to climate change (COM 2007/540), on DRR (COM 2009/84) and on Resilience (COM 2012/586), which are complemented by Staff Working Documents with action plans (the most recent one is the Resilience Action plan of 2013 (SWD 2013/227). Major natural disasters have large and significant negative effects on economic activity, both in their intermediate impact and in the longer term. The economic costs of disasters have accounted for over 100 billion in each of the last three years and the trend has been increasing for the past 30 years. Large scale mortality is an indicator of both high levels of risk as well as limitations in disaster risk management. When a significant proportion of public and private capital investment is being lost in disasters, social and economic development is eroded. For disaster risk reduction, forensics and scientific risk and impact modelling, impacts of disasters must be recorded at quite detailed level and using methodologies that allow aggregation over space and time. Consistently and accurately recording losses is essential for targeting, developing and costing risk reduction measures and ensure disaster-proof sustainable development. 5. Level of disaggregation6. Data Sources (including any issues on (i) different definitions by source, and (ii) level of availability of the data)NUMBER OF DEATHS PER 100,000 1. The main data source for this indicator is:  HYPERLINK "http://www.emdat.be/database" http://www.emdat.be/database, then >Select advanced search > Set the latest available 10 year period (i.e. 2004-2013) >Choose countries from the drop down list >Click on "Complex disasters" and "Natural" > Click on search Look at "Deaths" column 2. UN Population data  HYPERLINK "http://esa.un.org/unpd/wpp/Excel-Data/population.htm" http://esa.un.org/unpd/wpp/Excel-Data/population.htm (using the "estimates" sheet. Where it is necessary to use population forecasts because estimates are not yet available, use the "median fertility" variant). This will give the population data that will be used for weighting. ECONOMIC LOSS AS A PROPORTION OF GDP 1. The main data source for this indicator is:  HYPERLINK "http://www.emdat.be/database" http://www.emdat.be/database, then) >Select advanced search > Set the latest available 10 year period (i.e. 2004-2013) >Choose countries from the drop down list >Click on "Complex disasters" and "Natural" > Click on search Look at "Total damage (000 $)" columns 2. World Bank GDP data (current US$) at  HYPERLINK "http://data.worldbank.org/indicator/NY.GDP.MKTP.CD" http://data.worldbank.org/indicator/NY.GDP.MKTP.CD 7. Data calculation (including any assumptions made)NUMBER OF DEATHS PER 100,000 averaged over 10 years - for each country where the EU has external action programmes, find the latest available data covering a ten year time period, and calculate the average annual number of deaths (using the totals cell from the database and dividing it by the number of years over the 10 year time period for which annual data is available); please be aware that if there is no data for any year in a particular country, this means that there were no disasters that met the criteria. - add up the above numbers for all the countries where the EU has external action programmes. This will give the first element for the number of deaths per 100,000 from disasters averaged over 10 years; - add together the average populations in all the countries where the EU has external action programmes over the same 10 year time period. This will give the second element for the number of deaths per 100,000 from disasters averaged over 10 years; -divide the first element by the second element, and then multiply this figure by 100,000. This will give the number of deaths per 100,000 from disasters for all countries the EU has external action programmes averaged over 10 years. ECONOMIC LOSS AS A PROPORTION OF GDP averaged over 10 years - for each country where the EU has external action programmes, find the latest available data covering a ten year time period, and calculate the average annual total damages; please be aware that if there is no data for any year in a particular country, this means that there were no disasters that met the criteria. If the latest data period for GDP (see below) does not correspond, please choose the latest common 10 year period. - add together the above numbers for all the countries where the EU has external action programmes. This will give the first element for the economic loss as a proportion of GDP averaged over 10 years - add together the average annual GDP for the last ten full years for all the countries where the EU has external action programmes. This will give the second element for the economic loss as a proportion of GDP averaged over 10 years -divide the first element by the second element, and then multiply this figure by 100. This will give the 10 year average economic losses from climate related and natural disasters as a proportion of GDP, expressed as a percentage. 8. Worked examples* Examples correct at the time of writing (Sept 2014) NUMBER OF DEATHS PER 100,000 averaged over 10 years Philippines 2004-2013 average annual number of deaths from disasters: 2,064 2004-2013 average annual population: 91,215,045 Honduras 2004-2013 average annual number of deaths from disasters 42 2004-2013 average annual population: 7,410,073 Weighted proportion of number of deaths per 100,000 for Philippines and Honduras = (2,064+42) *100,000 (91,215,045+ 7,410,073) = 2.1 deaths per 100,000 from disasters in Philippines and Honduras, average over the last ten years ECONOMIC LOSS AS A PROPORTION OF GDP averaged over 10 years Philippines 2004-2013 average annual economic loss $ 1,644,232,000 2004-2013 average annual GDP: $175,383,000,000 Honduras 2004-2013 average annual economic loss $32,007,900 2004-2013 average annual GDP: $14,060,257,043 Economic losses from climate related and natural disasters as a proportion of GDP for Philippines and Honduras, expressed as a percentage = (1,644,232,000+32,007,900) (175,383,000,000+ 14,060,257,043) = 0.09% 9. Is it used by another organization or in the framework of international initiatives, conventions, etc.? If so, which?A similar metric is used in the Integrated Analysis Framework of DG ECHO (main evidence based funding allocation process), where it is used in the InfoRM index to calculate vulnerability and risk for all countries. The UNISDR publishes the Global Assessment Report on Disaster Risk Reduction (GAR) a biennial global assessment of disaster risk reduction and comprehensive review and analysis of the natural hazards that are affecting humanity. The GAR contributes to achieving the Hyogo Framework of Action (HFA) through monitoring risk patterns and trends and progress in disaster risk reduction while providing strategic policy guidance to countries and the international community.10.Other issuesThe EM-DAT database is recognised as one of the most comprehensive and publicly accessible sources of disaster data with global coverage. The HotSpots study, the UN DRI and GAR reports, among others, relied heavily on this dataset. Nevertheless, EM-DAT has been questioned in many occasions (IASC TFDR WG3, 2002) for being under registered. It is easy to see that the core data stated in their presentation is limited to only three variables available to the public: mortality, number of affected and economic losses. The affected variable is difficult to define and in general terms is unreliable and not usable for practical purposes. The economic losses are evaluated by different partners that produce disaster reports with different and possibly inconsistent methodologies. There are also summaries available with homeless and injured per country or disaster type, but detailed data are not offered (Peduzzi et al, 2009). For the economic valuation of disaster loss data, EMDAT presents another major limitation in having economic valuations of losses in less than 30% of its records. The nature of the information contained, made at a global level of observation and with a national level of resolution, makes it hard to use for sub-national purposes. The already mentioned under-registration problem is aggravated when working within a country, as only medium- and large-scale disasters are entered in this database. The database creators and managers imposed minimum criteria for disasters to be entered: one of the following of ten or more fatalities, a hundred or more people affected, a declaration of a state of emergency, or a call for international assistance. That leaves out many small and medium disasters and probably quite a few large ones- that once accumulated represent a significant portion of the losses (GAR 2009) Other relevant sources of information are: UNFCCC IPCC assessment reports, UNISDR (see Global Assessment Reports: GAR 2009, 2011, 2013), UNDP, UNEP, FAO, WFP, OCHA etc. One of the main findings of the GAR 2013 is that direct disaster losses are at least 50 percent higher than internationally reported figures, such as EM-DAT (Total direct losses in 40 low and middle income countries amount to US$305 billion over the last 30 years; of these more than 30 percent were not internationally reported (Part I-Intro).  HYPERLINK "http://www.preventionweb.net/english/hyogo/gar/2013/en/home/index.html" http://www.preventionweb.net/english/hyogo/gar/2013/en/home/index.html A loss index is in development by UNISDR for the HFA2 framework. The DG JRC is also using loss data in the InfoRM Index for Risk Management. When it will be available, the index will be used in InfoRM (a consortium of 16 partners, including UN agencies, European Commission, and governments). InfoRM will be the key element of DG ECHO's Integrated Analysis Framework (IAF) as of 2015. There is also a technical working group at EU level looking at defining loss indicators (lead by DG ECHO and DG JRC), as well as at international level (IRDR). These projects are in evolution and aim at defining internationally accepted definitions, as well as composite indicators combining various loss dimensions (human, economic, etc.). It may be useful to adopt a set of impact indicators to monitor disaster and climate risks compounded in a risk index such as the InfoRM index referred to above. References with definitions are available in:  HYPERLINK "http://www.emdat.be/explanatory-notes" http://www.emdat.be/explanatory-notes Risk Assessment and Mapping Guidelines for Disaster Management, COMMISSION STAFF WORKING PAPER SEC(2010) 1626 2010  HYPERLINK "http://ec.europa.eu/echo/files/civil_protection/civil/pdfdocs/prevention/COMM_PDF_SEC_2010_1626_F_staff_working_document_en.pdf" http://ec.europa.eu/echo/files/civil_protection/civil/pdfdocs/prevention/COMM_PDF_SEC_2010_1626_F_staff_working_document_en.pdf Recording Disaster Losses: Recommendations for a European approach. EUR 26111. De Groeve et al.,2013  HYPERLINK "http://publications.jrc.ec.europa.eu/repository/handle/111111111/13143%20" http://publications.jrc.ec.europa.eu/repository/handle/111111111/13143 Index for Risk Management, Concept and Methodology, 2014  /01F[gkp~˼xgVxgE4 hlhl5B*CJaJph hlhGV5B*CJaJph hlh=5B*CJaJph hlhLo5B*CJaJph hlh_d5B*CJaJph hlh`*5B*CJaJph hlh|5B*CJaJph hlh{5B*CJaJphhqh,h!/2B*CJaJphhqh,hKlW5>*CJaJh>*5>*CJaJhqh,hrI5>*CJaJhqh,h!/25>*CJaJ1FWkd$$Ifl0#.  t044 lapytYX $IfgdE$If J K M N O h   e f g ɾɩؾɓ~wpeZOH>hI%hI%5\ hI%hI%hhI%nHtHhhM?nHtHh4Kh`*nHtH h4Kh`* h4KhD h4Kh X hC|h{ hh= hC|hhC|h!/2B*CJaJph)hC|h_dB*CJPJaJnH phtH hC|h!/2CJaJhqh,h!/2B*CJaJphhqh,h!/2CJaJhlh!/25CJaJ hlhGV5B*CJaJph K wqq$Ifkd$$Ifl0#. t044 lapytYXK L M N h_Y$If $IfgdvTkdp$$Ifl0#.  t044 lapytYXN O h   f g & wneee\eM & FF$Ifgd1 $Ifgd6 $Ifgdl $Ifgdckd0$$Ifl0#. t044 lapytYX Y h o [4$%)03ݶ{p{eZOZGZOZOZhlCJaJh4KhM?CJaJh4KhwCJaJh4Kh6CJaJhC|h>*CJaJhC|hM?CJaJhqh,h!/2B*CJaJphhqh,hV _CJaJhC|hV _CJaJhqh,h!/2CJaJ#h4KhM?6CJ^JaJnH tH )hC|hM?B*CJ^JaJnH phtH h4KhCJaJ hC|hI%hI%hI%5\ hI%hI%& ( q]d$7$8$H$Ifgd$K$ekd$IfK$L$lH04 layt| $IfgdlK$ & FF$Ifgdl & FF$Ifgd1d$7$8$H$Ifgd Xekda$IfK$L$l204 layt|hb$Ifkd$$Ifl0#.  t044 lapytYX[zzzqhz $Ifgd>* $Ifgdl d$Ifgdl $Ifgdwokd$$Ifl#$ t044 lap yt|38Xeg  %)-12=]xy}vo h4KhD h4Kh>*hC|h6CJaJ h4Kh>*CJ^JaJnH tH  h4KhNxCJ^JaJnH tH h4Kh>*CJaJh4KhwCJaJh4KhNxCJaJh4KhNxCJ\aJ+h4KhNxCJPJ\aJmH nH sH tH hlCJaJh4KhM?CJaJ) -./012_~ɺɺɠɺpaRChC|h9B*CJaJphhhLoB*CJaJphh1>*CJ^JaJnH tH #h|h|>*CJ^JaJnH tH #h|hLo>*CJ^JaJnH tH h! B*CJaJphhqh,hV _B*CJaJphhC|h!/2CJaJhqh,h!/2B*CJaJphhqh,h!/2CJaJh4Kh>*6CJaJh4Kh>*CJaJ h4Kh>* h4Kh6 h4Kh6 hbb$Ifkd4$$Ifl0#d  t044 lapytl-.wne $Ifgd q $Ifgdwkd$$Ifl0#d t044 lapytl./01h_Y$If $IfgdV _kd$$Ifl0#d  t044 lapytl12Kwn[HH5d$7$8$H$Ifgd8)d$7$8$H$Ifgdwd$7$8$H$IfgdLo $IfgdckdX$$Ifl0#d t044 lapytl%&BCEJKMb𾯛}qcRcDcR5h4Kh9B*CJaJphhDk6B*CJaJph h)h)6B*CJaJphh)6B*CJaJphh qB*CJaJph hC|h96B*CJaJphhC|h q0JCJaJ&jh4Kh qB*CJUaJphh4Kh qB*CJaJph&jhC|h qB*CJUaJphhC|hyQB*CJaJphhC|h9B*CJaJphhC|h qB*CJaJphKc "#;Sd$7$8$H$Ifgd}Vd$7$8$H$IfgdLo$d$7$8$H$Ifa$gd9 $Ifgd564d$7$8$H$Ifgdwd$7$8$H$Ifgd8) !"&9:FzͿveVJ9J*hzJh564B*CJaJph jh564B*CJUaJphh564B*CJaJphh4Kh9B*CJaJph h564h:!6B*CJaJphh5646B*CJaJphh#H6B*CJaJph h4Kh)6B*CJaJphh}V6B*CJaJphh)6B*CJaJphhD6B*CJaJph h4Kh$6B*CJaJph h4KhD6B*CJaJph h4Kh96B*CJaJphz|}Q2359:;=R¶ž{{n{]O>O h)h}V6B*CJaJphh}V6B*CJaJph hLohLo6B*CJaJphhLohLo0JCJaJ&jhLohLoB*CJUaJphhLohLoB*CJaJphhLoB*CJaJphh|hLo>*CJaJh|hQk>*CJaJhhLoCJaJh564CJaJhUEh5640JCJaJ jh564B*CJUaJphh564B*CJaJph#$HIKLMij䢳xpe^ReRER:h}VhrICJaJh}Vh|0JCJaJjh|CJUaJ h}Vh|h}Vh|CJaJh}VCJaJhh|CJaJ h4Kh9CJ^JaJnH tH hLo6B*CJaJph h4Kh}V6B*CJaJph hLohLo6B*CJaJphhLohLoB*CJaJph h)h}V6B*CJaJphh}V6B*CJaJphhDk6B*CJaJph#$d$7$8$H$Ifgdqh,d$7$8$H$Ifgdwd$7$8$H$IfgdLo12Epr̺}l`QC2 h)h)>*B*CJaJphh)6B*CJaJphh)h)B*CJaJphh)B*CJaJph h4Kh6B*CJaJphh#H6B*CJaJphh4KhB*CJaJph h#Hh5B*CJaJphh15CJ^JaJnH tH #h#Hh|5CJ^JaJnH tH hqh,h!/2B*CJaJphh}VhV _B*CJaJphh}Vh!/2CJaJh}Vh#HCJaJhbb$Ifkd$$Ifl0#d  t044 lapytl2 !""wneee\\F$d$7$8$H$Ifa$gd| $IfgdL $Ifgd $Ifgdckd$$Ifl0#d t044 lapytltu ` u пwk\P\D\h}iB*CJaJphh}VB*CJaJphh4KhB*CJaJphhC<B*CJaJphh]XB*CJaJphh1hB*CJaJphh1h1B*CJaJphh1h)B*CJaJphh1hB*CJaJph h1h>*B*CJaJph h1h)>*B*CJaJphh)>*B*CJaJph h)h|>*B*CJaJphu { 8!B!Z!o!u!!!!!!!!%":"Z"ŹછtcTTETTh4KhDB*CJaJphh4KhLB*CJaJph h}Vh}V>*B*CJaJphh}iB*CJaJphh#HhB*CJaJphh|B*CJaJphhC|hB*CJaJphhh|B*CJaJphh}VB*CJaJphh)B*CJaJphh4Kh(B*CJaJphh4KhB*CJaJph h4Kh5B*CJaJphZ"""""""""""" #7#9#a#w#ykZK: hWGhWG>*B*CJaJphhWGhWGB*CJaJph h|h|6B*CJaJphh}i6B*CJaJphh|h|B*CJaJphh|B*CJaJphh]X5CJaJh#Hh|5CJaJh#HhQk5CJaJh#HhC|5CJaJh|CJaJhhLB*CJaJphh4KhLB*CJaJphh}VB*CJaJphh}iB*CJaJph""8$$$u%b&K' $IfgdQk $Ifgd|d$1$7$8$H$Ifgd$d$7$8$H$Ifa$gd|w#y######6$7$8$>$F$K$S$V$f$y$$$$$$%#%)%8%9%sggVJhC|B*CJaJph h|h|5B*CJaJphh}iB*CJaJph%hh|B*CJaJmH phsH hCJ^JaJmH sH  hwhCJ^JaJmH sH hC<B*CJaJphh|h|B*CJaJphhJ$B*CJaJphh|B*CJaJphhB*CJaJphhWGB*CJaJphhWGh|B*CJaJph9%G%]%t%%%%%%%%%% &&#&2&H&a&&&&&ƺՅteVJ>h%B*CJaJphh=B*CJaJphhhQkB*CJaJphhC|hQkB*CJaJph h|h|5B*CJaJphh}iB*CJaJphh|B*CJaJph h#Hh|>*B*CJaJphhNnB*CJaJphhB*CJaJphh|h|B*CJaJphhWGB*CJaJphhhC|B*CJaJphhC|hC|B*CJaJph&&J'K'L'M'N'O'a'b'c'l'''''''''·«xfTEfh5CJ^JaJnH tH #h#Hh|5CJ^JaJnH tH #h#Hh6vJ5CJ^JaJnH tH hhB*CJaJphh)B*CJaJphhB*CJaJphh!/2B*CJaJphhB*CJaJphhC|h!/2CJaJhqh,h!/2B*CJaJphhqh,h!/2CJaJhC|h|CJaJh#^B*CJaJphhQkB*CJaJphK'L'M'N'hbb$Ifkdr $$Ifl0#d  t044 lapytlN'O'c'd'e'f'g'h'i'j'k'l'wnnnnnnnnnn $Ifgdckd, $$Ifl0#d t044 lapytl l'''''%(U(V(d((((#)$)?)[)\)))*$d$7$8$H$Ifa$gd#^d$7$8$H$Ifgd$d$7$8$H$Ifgd=[hd$7$8$H$IfgdN $Ifgd)'''''''''((($(%(*(.(/(6(7(=(>(J(M(P(ɻo^^M< hhTICJ^JaJnH tH  hh|CJ^JaJnH tH  h4Kh=CJ^JaJnH tH  h4KhCCJ^JaJnH tH h]XCJ^JaJnH tH h=CJ^JaJnH tH hCCJ^JaJnH tH  h4KhNCJ^JaJnH tH h|CJ^JaJnH tH #hC|hN5CJ^JaJnH tH #hC|h=[h5CJ^JaJnH tH #hh6vJ5CJ^JaJnH tH P(R(T(U(V(d(i(m(n(u(v(|(}(((((((((((((пoo^P^o^h|CJ^JaJnH tH  h4Kh=[hCJ^JaJnH tH  h4Kh=CJ^JaJnH tH h=CJ^JaJnH tH  h4KhCCJ^JaJnH tH hCCJ^JaJnH tH #h4KhN5CJ^JaJnH tH  h4Kh|CJ^JaJnH tH h=[hCJ^JaJnH tH  hhTICJ^JaJnH tH  hh|CJ^JaJnH tH (((((((( ))")#)&)'),)-)޼~o]K<*#h4Kh=[h>*CJ^JaJnH tH h]X>*CJ^JaJnH tH #h4KhN>*CJ^JaJnH tH #hC|hN6CJ^JaJnH tH hC|h=[hB*CJaJphhh#^B*CJaJphh4Kh=[hB*CJaJphh4KhNB*CJaJph h4KhNCJ^JaJnH tH  h4Kh=[hCJ^JaJnH tH  hh|CJ^JaJnH tH  hhTICJ^JaJnH tH  hh=[hCJ^JaJnH tH -)/)0)6)>)?)C)M)O)X)Y)Z)[)\)^)a)c)))))Ͻ޲zrj_PD5hh#^B*CJaJphh|B*CJaJphh4KhWoB*CJaJphh4KhWoCJaJh|CJaJhCJaJ hTIhNCJ^JaJnH tH h4Kh=[hCJaJhh=[hCJaJ hhTICJ^JaJnH tH h4KhNCJaJ#h4Kh=[h>*CJ^JaJnH tH hF>*CJ^JaJnH tH #h4KhN>*CJ^JaJnH tH h|>*CJ^JaJnH tH ))))******* *!*(*1*9*:*;*>*?*B*F*ϽqcUGGhjQ5CJ^JaJnH tH h#^CJ^JaJnH tH hCJ^JaJnH tH hQkCJ^JaJnH tH  h4Kh=CJ^JaJnH tH h=CJ^JaJnH tH  h4KhCCJ^JaJnH tH hCCJ^JaJnH tH #h#^h#^5CJ^JaJnH tH hh#^B*CJaJphh#Hh#^5CJaJh5CJaJh#HhQk5CJaJ***G*****+++++++++d$7$8$H$Ifgd#^d$7$8$H$Ifgd$F*G*L*P*Q*X*Y*`*c*e*r*s*v*w*z*{*~********±£o^M hYXhQkCJ^JaJnH tH  hYXhCCJ^JaJnH tH #hYXh#^5CJ^JaJnH tH  hYXh=CJ^JaJnH tH  hYXh#^CJ^JaJnH tH h#^CJ^JaJnH tH  h4Kh=CJ^JaJnH tH h=CJ^JaJnH tH  h4KhCCJ^JaJnH tH hCCJ^JaJnH tH  h#^h#^CJ^JaJnH tH *******++ +V+r+++++++++++++++++ͼͭ}k}k}k```UMhACJaJh#^h#^CJaJhYXh#^CJaJ#hYXh=>*CJ^JaJnH tH #hYXh#^>*CJ^JaJnH tH hYXh#^B*CJaJphhYXh=B*CJaJphhYXhQkB*CJaJph hYXhCCJ^JaJnH tH  hYXh#^CJ^JaJnH tH  hYXh=CJ^JaJnH tH  hYXhCJ^JaJnH tH ++++++++,,&,f,j,m,n,z,,,,Q-U-øwh\hM>h4Kh{CJaJmH sH h4Kh8)B*CJaJphh}iB*CJaJphhC|h8)B*CJaJphhcpB*CJaJphh.)NB*CJaJphhqh,h!/2B*CJaJphhqh,hYqB*CJaJphhqh,h!/2CJaJhC|h!/2CJaJ)hC|hNhVv6CJ^JaJnH tH  hC|hNCJ^JaJnH tH h#^h#^B*CJaJphh=CJaJ+++,hbb$Ifkd $$Ifl0#d  t044 lapytl,,z,Q-'/wnbb d$Ifgdg $Ifgdwkd $$Ifl0#d t044 lapytlU-j-&/'/(/)/*/+/;/Z/>5p6r6667\7̣̽pdSE4!h#Hh B*CJ^JaJphh B*CJ^JaJph!h#HhWoB*CJ^JaJphhQkB*CJaJphhhLoB*CJaJph hLohLoCJ^JaJnH tH h4KhLoCJaJh{CJaJhqh,h!/2B*CJaJphhC|h!/2CJaJhqh,hYqB*CJaJphhqh,h!/2CJaJh4Kh{CJaJh4Kh{CJaJmH sH h4Kh~ CJaJmH sH '/(/)/*/h_Y$If $IfgdYqkdF $$Ifl0#d  t044 lapytl*/+/;/#0$033q6wn[[[[Md$Ifgdgd$7$8$H$Ifgdg $Ifgdckd $$Ifl0#d t044 lapytlq6r6698::;<<=>?= & Fd$Ifgdgd$Ifgdg d$Ifgdgd8$Ifgdq \77777777771828s8t8ѼѧlWB5h#HhqCJ^JaJ(h5Lh @ CJPJ^JaJnH tH (h5Lhw_O@CJPJ^JaJnH tH (h5Lh @CJPJ^JaJnH tH $h5LhqCJPJ^JaJnH tH $h5Lh CJPJ^JaJnH tH (h5Lhw_O@CJPJ^JaJnH tH (h5Lh@CJPJ^JaJnH tH (h5Lh @CJPJ^JaJnH tH h5Lhw_OCJ^JaJh5Lh CJ^JaJ t8u8888999v9:6:7:8:Z:]:e:::ϱrcTHT=5=-=hVMCJaJh CJaJhVMhVMCJaJh B*CJaJphhVMhWoB*CJaJphh4KhWoB*CJaJph!h4KhWoB*CJ^JaJph-h4Kh B*CJPJ^JaJnH ph000tH ,hKhq0J@ CJPJ^JaJnH tH :j hK@ B*CJPJU^JaJnH ph# tH +hK@ B*CJPJ^JaJnH ph# tH 4jhK@ B*CJPJU^JaJnH ph# tH :::::;<<<<<<<<===udKu>>>>>??볝}lW=2jh#Hh:7B*CJU^JaJmHphsH)h#HhGB*CJ^JaJmHphsH!h#HhGB*CJ^JaJphh#HhG0JCJ^JaJ!h#HhGB* CJ^JaJphI}*jh#HhGB* CJU^JaJphI}(h#Hh:7CJ^JaJmH nHsH tH#h#HhGCJ\^JaJnH tH  h#HhGCJ^JaJnH tH (h#HhGCJ^JaJmH nHsH tH?Y?Z?[????????uͳxcN53NU1jh#Hh:7CJU^JaJmH nHsH tH(h#Hh:7CJ^JaJmH nHsH tH(h#HhGCJ^JaJmH nHsH tH)h#HhGB*CJ^JaJmHphsH$h#Hh:70JCJ^JaJmHsH$h#HhG0JCJ^JaJmHsH2jh#Hh:7B*CJU^JaJmHphsH8jh#Hh:7B*CJU^JaJmHphsH)h#Hh:7B*CJ^JaJmHphsH HYPERLINK "http://inform.jrc.ec.europa.eu/Portals/0/InfoRM/InfoRM%20Results%20and%20User%20Guide%202014%20beta.pdf" http://inform.jrc.ec.europa.eu/Portals/0/InfoRM/InfoRM%20Results%20and%20User%20Guide%202014%20beta.pdf World Bank  HYPERLINK "http://data.worldbank.org/" \t "_blank" http://data.worldbank.org/ uvwް߰ !;<=?ʳʨp_p_pTIhGh!/2CJaJh#Hh#HCJaJ!h?hGB*CJ^JaJph*jh?hGB*CJU^JaJph!h#HhGB*CJ^JaJph333!h#Hh(B*CJ^JaJph333h#Hh:7CJaJ,h#Hh(0JCJ^JaJmH nHsH tH1jh#Hh:7CJU^JaJmH nHsH tH7jh#Hh:7CJU^JaJmH nHsH tH=>?hfkd$$Ifl0#d  t044 lapytl,1h. A!"#$% $$If!vh#v#v.:V l  t0,55.pytYX$$If!vh#v#v.:V l t0,55./ pytYX$$If!vh#v#v.:V l  t0,55.pytYX$$If!vh#v#v.:V l t0,55./ pytYX$IfK$L$l!vh#v:V lH054yt|$IfK$L$l!vh#v:V l2054yt|$$If!vh#v#v.:V l  t055.pytYX$$If!vh#v$:V l t0,5$/ p yt|$$If!vh#vd#v:V l  t05d5pytl$$If!vh#vd#v:V l t0,5d5/ pytl$$If!vh#vd#v:V l  t05d5pytl$$If!vh#vd#v:V l t0,5d5/ pytl$$If!vh#vd#v:V l  t05d5pytl$$If!vh#vd#v:V l t0,5d5/ pytl$$If!vh#vd#v:V l  t05d5pytl$$If!vh#vd#v:V l t0,5d5/ pytl$$If!vh#vd#v:V l  t05d5pytl$$If!vh#vd#v:V l t0,5d5/ pytl$$If!vh#vd#v:V l  t05d5pytl$$If!vh#vd#v:V l t0,5d5/ pytlDyK yK http://www.preventionweb.net/english/hyogo/gar/2013/en/home/index.htmlyX;H,]ą'cDyK yK dhttp://www.emdat.be/explanatory-notesyX;H,]ą'cDyK yK http://publications.jrc.ec.europa.eu/repository/handle/111111111/13143yX;H,]ą'cADyK yK http://inform.jrc.ec.europa.eu/Portals/0/InfoRM/InfoRM Results and User Guide 2014 beta.pdfyX;H,]ą'c$$If!vh#vd#v:V l  t05d5pytlj 666666666vvvvvvvvv666666>6666666666666666666666666666666666666666666666666hH6666666666666666666666666666666666666666666666666666666666666666662 0@P`p2( 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p8XV~ OJPJQJ_HmH nH sH tH J`J Normal dCJ_HaJmH sH tH DA D Default Paragraph FontRi@R 0 Table Normal4 l4a (k ( 0No List jj !/2 Table Grid7:V0R@R c0 Balloon Text dCJOJQJ^JaJRoR c0Balloon Text CharCJOJQJ^JaJtH 6U`!6 Yq0 Hyperlink >*B*phcFV`1F _d0FollowedHyperlink >*B*phZoBZ Default 7$8$H$%B*CJ^J_HaJmH phsH tH B'`QB q0Comment ReferenceCJaJ<@b<  q0 Comment TextCJaJ>oq>  q0Comment Text ChartH @j@ab@  q0Comment Subject5\JoJ  q0Comment Subject Char 5\tH PK![Content_Types].xmlN0EH-J@%ǎǢ|ș$زULTB l,3;rØJB+$G]7O٭V$ !)O^rC$y@/yH*񄴽)޵߻UDb`}"qۋJחX^)I`nEp)liV[]1M<OP6r=zgbIguSebORD۫qu gZo~ٺlAplxpT0+[}`jzAV2Fi@qv֬5\|ʜ̭NleXdsjcs7f W+Ն7`g ȘJj|h(KD- dXiJ؇(x$( :;˹! I_TS 1?E??ZBΪmU/?~xY'y5g&΋/ɋ>GMGeD3Vq%'#q$8K)fw9:ĵ x}rxwr:\TZaG*y8IjbRc|XŻǿI u3KGnD1NIBs RuK>V.EL+M2#'fi ~V vl{u8zH *:(W☕ ~JTe\O*tHGHY}KNP*ݾ˦TѼ9/#A7qZ$*c?qUnwN%Oi4 =3N)cbJ uV4(Tn 7_?m-ٛ{UBwznʜ"Z xJZp; {/<P;,)''KQk5qpN8KGbe Sd̛\17 pa>SR! 3K4'+rzQ TTIIvt]Kc⫲K#v5+|D~O@%\w_nN[L9KqgVhn R!y+Un;*&/HrT >>\ t=.Tġ S; Z~!P9giCڧ!# B,;X=ۻ,I2UWV9$lk=Aj;{AP79|s*Y;̠[MCۿhf]o{oY=1kyVV5E8Vk+֜\80X4D)!!?*|fv u"xA@T_q64)kڬuV7 t '%;i9s9x,ڎ-45xd8?ǘd/Y|t &LILJ`& -Gt/PK! ѐ'theme/theme/_rels/themeManager.xml.relsM 0wooӺ&݈Э5 6?$Q ,.aic21h:qm@RN;d`o7gK(M&$R(.1r'JЊT8V"AȻHu}|$b{P8g/]QAsم(#L[PK-![Content_Types].xmlPK-!֧6 0_rels/.relsPK-!kytheme/theme/themeManager.xmlPK-!0C)theme/theme/theme1.xmlPK-! ѐ' theme/theme/_rels/themeManager.xml.relsPK] 7 3zu Z"w#9%&'P((-))F**+U-\7t8:=?u? "&+,13457:;<>?@DEFGHJKLOSTUVWYK N & .1K"K'N'l'*+,'/*/q6=?!#$%'()*-./02689=ABCIMNPQRZgW-.7/~/)3^33345n556J66)767k777XXXXXXXXXX8@0(  B S  ? _Hlt397335182 _Hlt397335183 _Hlt411326986 _Hlt411326987 _Hlt411262268 _Hlt411262269 _Hlt411262373 _Hlt411262374 _Hlt411328642 _Hlt411328643 _Hlt419899728 _Hlt419899729 _Hlt419900768 _Hlt419900769 _Hlt411267005 _Hlt411267006 _Hlt397598421 _Hlt411262406 _Hlt411262407 _Hlt411262549 _Hlt411262550 _Hlt397341976 _Hlt397341977 _Hlt411262566 _Hlt411262567 _Hlt411262573 _Hlt411262574 _Hlt411262586 _Hlt411262652 _Hlt411262667  @/@///u3u34456}77@@@@@@@@@ @ @ @ @ @@@@@@@@@@@@@@@@@  A/A///v3v34456~77QRz##6&>&6)=)//B0H000227g5h5731FvRg>| 3!^"n"%%7u{8< jAlHzeR~r8zmiFrhh^h`OJQJo(hHh8^8`OJQJ^Jo(hHoh^`OJQJo(hHh ^ `OJQJo(hHh ^ `OJQJ^Jo(hHohx^x`OJQJo(hHhH^H`OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hHh ^`hH.h ^`hH.h pL^p`LhH.h @ ^@ `hH.h ^`hH.h L^`LhH.h ^`hH.h ^`hH.h PL^P`LhH.hh^h`OJQJo(hHh8^8`OJQJ^Jo(hHoh^`OJQJo(hHh ^ `OJQJo(hHh ^ `OJQJ^Jo(hHohx^x`OJQJo(hHhH^H`OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hHh h^h`hH.h 8^8`hH.h L^`LhH.h  ^ `hH.h  ^ `hH.h xL^x`LhH.h H^H`hH.h ^`hH.h L^`LhH.zeu{8<8zmjA                                    es7 Y9Y9lrW6(! 6 r DF%?K|>] $J$ 8)8)>*`*ww*qh,!/2}4564jQ5H=M?[?AF5BrI6vJ.)Nw_O),T}VBWKlW XYX)d]v]#^V _c_d=[h}iQklWocp?v{9 N~fENDk]X5Lb a74K| q1w_JyQg=ow):!GVx|?C)#s(QVMLG = q=vT~ {YqC|< NnTI#HLoNx(#WGI% M}4 C<{:777 LW_DocTypeNORMAL@ 4m m K67@,@`@Unknown G*Ax Times New Roman5Symbol3. *Cx Arial7.@ Calibri5. K@Corbel5. .[`)Tahoma?= *Cx Courier New;WingdingsA$BCambria Math"qh6G6G5gJ@/dJ@/d!20n7n7 KqHX  $P!/22!xx HUSSAIN Medhi (DEVCO)DEAN Homa (DEVCO)    Oh+'0Lx    ,4<DHUSSAIN Medhi (DEVCO) Normal.dotmDEAN Homa (DEVCO)2Microsoft Office Word@@@Bm=@Bm=J@/՜.+,D՜.+,< hp  European Commissiondn7  Title 8@ _PID_HLINKSA<jihttp://data.worldbank.org/g'\http://inform.jrc.ec.europa.eu/Portals/0/InfoRM/InfoRM Results and User Guide 2014 beta.pdfp!Ghttp://publications.jrc.ec.europa.eu/repository/handle/111111111/13143Yhttp://ec.europa.eu/echo/files/civil_protection/civil/pdfdocs/prevention/COMM_PDF_SEC_2010_1626_F_staff_working_document_en.pdfH&http://www.emdat.be/explanatory-notes.d Ghttp://www.preventionweb.net/english/hyogo/gar/2013/en/home/index.htmlpr 3http://data.worldbank.org/indicator/NY.GDP.MKTP.CDhttp://www.emdat.be/databaseZ5http://esa.un.org/unpd/wpp/Excel-Data/population.htmhttp://www.emdat.be/database  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[]^_`abcdeghijklmnopqrstuvwxyz{|}~Root Entry FLXData \1Tablef"3WordDocument.SummaryInformation(DocumentSummaryInformation8CompObjr  F Microsoft Word 97-2003 Document MSWordDocWord.Document.89q