<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="WLD_2008_ISS_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_WLD_2008_ISS_v02_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer></producer>
      <prodDate date="2011-02-10">2011-02-10</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>DDI Document  - Version 02 - (04/21/21)
 This version is identical to DDI_WLD_2008_ISS_v01_M but country field has been updated to capture all the countries covered by survey.

 Version 01 (February 2011)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Intensification of Storm Surges 2008</titl>
      <subTitl/>
      <altTitl>ISS 2008</altTitl>
      <parTitl/>
      <IDNo>WLD_2008_ISS_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="World Bank">Susmita Dasgupta, David R. Wheeler, Siobhan Murray and Benoit Laplante</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-09-06">NADA</software>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="World Bank" URI="http://go.worldbank.org/B9W4QTDHR0" email="research@worldbank.org">Development Research Group</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName/>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>This research was carried out by the World Bank in 2008. Financial support for this research was provided by the Research Department of the World Bank, and the Economics of Adaptation to Climate Change study administered by the Environment Department of the World Bank. Funding for the Economics of Adaptation to Climate Change study has been provided by the governments of the United Kingdom, the Netherlands and Switzerland. 
An increase in sea surface temperature is strongly evident at all latitudes and in all oceans. The scientific evidence to date indicates that increased sea surface temperature will intensify cyclone activity and heighten storm surges. These surges will, in turn, create more damaging flood conditions in coastal zones and adjoining low-lying areas. The destructive impact will generally be greater when storm surges are accompanied by strong winds and large onshore waves.
In this research, we have considered the potential impact of a large (1-in-100-year) storm surge by contemporary standards, and then compared it with its 10% intensification which is expected to occur in this century.
In modeling the future climate, we took account of changes in sea level rise, geological uplift and subsidence along the world’s coastlines. Geographic Information System (GIS) software has been used to overlay the best available, spatially-disaggregated global data on critical impact elements (Area, population, economic activity (GDP), agricultural land, urban areas, and wetlands), with the inundation zones projected for 84 coastal developing countries.</abstract>
    <sumDscr>
      <collDate date="2008" event="start" cycle=""/>
      <collDate date="2008" event="end" cycle=""/>
      <nation abbr="AGO">Angola</nation>
      <nation abbr="ARE">United Arab Emirates</nation>
      <nation abbr="ARG">Argentina</nation>
      <nation abbr="BEN">Benin</nation>
      <nation abbr="BHS">Bahamas, The</nation>
      <nation abbr="BRA">Brazil</nation>
      <nation abbr="CHL">Chile</nation>
      <nation abbr="CHN">China</nation>
      <nation abbr="CMR">Cameroon</nation>
      <nation abbr="COL">Colombia</nation>
      <nation abbr="CRI">Costa Rica</nation>
      <nation abbr="CUB">Cuba</nation>
      <nation abbr="DJI">Djibouti</nation>
      <nation abbr="DOM">Dominican Republic</nation>
      <nation abbr="DZA">Algeria</nation>
      <nation abbr="ECU">Ecuador</nation>
      <nation abbr="EGY">Egypt, Arab Rep.</nation>
      <nation abbr="ESH">Western Sahara</nation>
      <nation abbr="GAB">Gabon</nation>
      <nation abbr="GHA">Ghana</nation>
      <nation abbr="GIN">Guinea</nation>
      <nation abbr="GNB">Guinea-Bissau</nation>
      <nation abbr="GNQ">Equatorial Guinea</nation>
      <nation abbr="GTM">Guatemala</nation>
      <nation abbr="GUF">French Guiana</nation>
      <nation abbr="GUY">Guyana</nation>
      <nation abbr="HND">Honduras</nation>
      <nation abbr="HTI">Haiti</nation>
      <nation abbr="IDN">Indonesia</nation>
      <nation abbr="IND">India</nation>
      <nation abbr="IRN">Iran, Islamic Rep.</nation>
      <nation abbr="JAM">Jamaica</nation>
      <nation abbr="KEN">Kenya</nation>
      <nation abbr="KHM">Cambodia</nation>
      <nation abbr="KWT">Kuwait</nation>
      <nation abbr="LBR">Liberia</nation>
      <nation abbr="LBY">Libya</nation>
      <nation abbr="LKA">Sri Lanka</nation>
      <nation abbr="MAR">Morocco</nation>
      <nation abbr="MDG">Madagascar</nation>
      <nation abbr="MEX">Mexico</nation>
      <nation abbr="MMR">Myanmar</nation>
      <nation abbr="MOZ">Mozambique</nation>
      <nation abbr="MRT">Mauritania</nation>
      <nation abbr="MYS">Malaysia</nation>
      <nation abbr="NAM">Namibia</nation>
      <nation abbr="NGA">Nigeria</nation>
      <nation abbr="NIC">Nicaragua</nation>
      <nation abbr="OMN">Oman</nation>
      <nation abbr="PAK">Pakistan</nation>
      <nation abbr="PAN">Panama</nation>
      <nation abbr="PER">Peru</nation>
      <nation abbr="PHL">Philippines</nation>
      <nation abbr="PNG">Papua New Guinea</nation>
      <nation abbr="PRI">Puerto Rico</nation>
      <nation abbr="PRK">Korea, Dem. Rep.</nation>
      <nation abbr="QAT">Qatar</nation>
      <nation abbr="SAU">Saudi Arabia</nation>
      <nation abbr="SDN">Sudan</nation>
      <nation abbr="SEN">Senegal</nation>
      <nation abbr="SLE">Sierra Leone</nation>
      <nation abbr="SLV">El Salvador</nation>
      <nation abbr="SOM">Somalia</nation>
      <nation abbr="STP">Sao Tome and Principe</nation>
      <nation abbr="SUR">Suriname</nation>
      <nation abbr="TGO">Togo</nation>
      <nation abbr="THA">Thailand</nation>
      <nation abbr="TUN">Tunisia</nation>
      <nation abbr="TWN">Taiwan, China</nation>
      <nation abbr="TZA">Tanzania</nation>
      <nation abbr="URY">Uruguay</nation>
      <nation abbr="VEN">Venezuela, RB</nation>
      <nation abbr="VNM">Vietnam</nation>
      <nation abbr="ZAF">South Africa</nation>
      <geogCover/>
      <geogUnit/>
      <anlyUnit/>
      <universe/>
      <dataKind>Aggregate data [agg]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes>The datasets include area, population, economic activity (GDP), agricultural land, urban areas, and wetlands.</notes>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc/>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Other [oth]</collMode>
      <resInstru/>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu/>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr>Limitations of the research: 

1. The relative likelihoods of alternative storm surge scenarios have not been assessed in this research. Following Nicholls et al (2007), a homogeneous future increase of 10% in extreme water levels during tropical storms is assumed. In all likelihood, regions of the world may experience a smaller increase and others a larger increase. Better local modeling of the impact of climate change on storm intensities (with the support of hurricane generator models) is needed to better forecast changes in storm surges. 

2. Among the 84 developing countries included in this analysis, our estimation is restricted to coastal segments where historical storm surges have been documented. 

3. The absence of a global database on shoreline protection has prevented us from incorporating the effect of existing protection measures (e.g., sea dikes) on exposure estimates. 

4. Lack of spatially disaggregated secondary information on indicators prevented us from including small islands in this analysis. 

5. The impacts of intensification of storm surges and SLR have been assessed using existing population, socio-economic conditions and patterns of land use, rather than attempting to predict their future states. Human activity is generally increasing more rapidly in coastal areas and thus the impacts of storm surges will be more pronounced in these areas. This effect is countered by adaptation measures (e.g., sea dikes), which we also do not attempt to estimate in this exercise. Adaptation measures from the purely technological (e.g., coastal embankments), to coastal-zone management (e.g., land-use planning, regulations, relocation) are often context, location and community-specific. Thus in our analysis, we refrain from generalizing any adaptive measures across our sub-set of developing countries.</dataAppr>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <citReq>Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download

Example:

Susmita Dasgupta et al., World Bank. Intensification of Storm Surges (ISS) 2008. Ref. WLD_2008_ISS_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date].</citReq>
      <deposReq/>
      <conditions/>
      <disclaimer>The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<fileDscr ID="F1">
  <fileTxt>
    <fileName>Ag Area</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>90</caseQnty>
      <varQnty>10</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F2">
  <fileTxt>
    <fileName>Area</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>90</caseQnty>
      <varQnty>10</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F3">
  <fileTxt>
    <fileName>GDP</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>90</caseQnty>
      <varQnty>10</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F4">
  <fileTxt>
    <fileName>Population</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>90</caseQnty>
      <varQnty>10</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F5">
  <fileTxt>
    <fileName>Urban area</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>90</caseQnty>
      <varQnty>10</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F6">
  <fileTxt>
    <fileName>Wetlands</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>90</caseQnty>
      <varQnty>10</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="V11" name="Countryname" files="F2" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>DPR Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Asia and Pacific</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Equatorial Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Eritrea</catValu>
  </catgry>
  <catgry>
    <catValu>French Guiana</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Global</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea-Bissau</catValu>
  </catgry>
  <catgry>
    <catValu>Guyana</catValu>
  </catgry>
  <catgry>
    <catValu>Haiti</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America and the Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East and North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Puerto Rico</catValu>
  </catgry>
  <catgry>
    <catValu>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>The Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>UAE</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Western Sahara</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V12" name="DIVA_Coasline" files="F2" dcml="2" intrvl="contin">
  <labl>Km of coastline</labl>
  <imputation>Km of coastline</imputation>
  <security>Km of coastline</security>
  <embargo>Km of coastline</embargo>
  <respUnit>Km of coastline</respUnit>
  <qstn>
    <qstnLit>length of coastline from DIVA database (km)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">44.211</sumStat>
  <sumStat type="max">269596</sumStat>
  <sumStat type="mean">8986.53</sumStat>
  <sumStat type="stdev">32040.593</sumStat>
  <notes>coastal zone defined as elevation &lt; 10 m</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V13" name="AREATOT" files="F2" intrvl="contin">
  <labl>Total country area (km2)</labl>
  <imputation>Total country area (km2)</imputation>
  <security>Total country area (km2)</security>
  <embargo>Total country area (km2)</embargo>
  <respUnit>Total country area (km2)</respUnit>
  <qstn>
    <qstnLit>total area (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1047</sumStat>
  <sumStat type="max">63838523</sumStat>
  <sumStat type="mean">2127950.767</sumStat>
  <sumStat type="stdev">7376456.33</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V14" name="AREACOAST" files="F2" intrvl="contin">
  <labl>Area of coastal zone (km2)</labl>
  <imputation>Area of coastal zone (km2)</imputation>
  <security>Area of coastal zone (km2)</security>
  <embargo>Area of coastal zone (km2)</embargo>
  <respUnit>Area of coastal zone (km2)</respUnit>
  <qstn>
    <qstnLit>area of coastal zone (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">45</sumStat>
  <sumStat type="max">2012753</sumStat>
  <sumStat type="mean">67091.767</sumStat>
  <sumStat type="stdev">237371.285</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V15" name="AREAZ2" files="F2" dcml="2" intrvl="contin">
  <labl>Current surge zone (km2)</labl>
  <imputation>Current surge zone (km2)</imputation>
  <security>Current surge zone (km2)</security>
  <embargo>Current surge zone (km2)</embargo>
  <respUnit>Current surge zone (km2)</respUnit>
  <qstn>
    <qstnLit>area of z2 (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">18</sumStat>
  <sumStat type="max">391812</sumStat>
  <sumStat type="mean">13060.4</sumStat>
  <sumStat type="stdev">45676.651</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V16" name="AREAZ1" files="F2" dcml="2" intrvl="contin">
  <labl>Increment with climate change</labl>
  <imputation>Increment with climate change</imputation>
  <security>Increment with climate change</security>
  <embargo>Increment with climate change</embargo>
  <respUnit>Increment with climate change</respUnit>
  <qstn>
    <qstnLit>area of z1 (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2</sumStat>
  <sumStat type="max">125443</sumStat>
  <sumStat type="mean">4181.433</sumStat>
  <sumStat type="stdev">14602.696</sumStat>
  <notes>z1 is extension of surge zone given climate change factors (z1 +z 2 would be surge zone with climate change); includes inland water (rivers, lakes)</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V17" name="AREAZ1Z2" files="F2" dcml="2" intrvl="contin">
  <labl>Surge zone with climate change</labl>
  <imputation>Surge zone with climate change</imputation>
  <security>Surge zone with climate change</security>
  <embargo>Surge zone with climate change</embargo>
  <respUnit>Surge zone with climate change</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">20</sumStat>
  <sumStat type="max">517255</sumStat>
  <sumStat type="mean">17241.833</sumStat>
  <sumStat type="stdev">60266.811</sumStat>
  <notes>z2 is current surge zone; includes inland water (rivers, lakes)</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V18" name="V8" files="F2" dcml="2" intrvl="contin">
  <labl>AREAZ2 over AREACOAST</labl>
  <imputation>AREAZ2 over AREACOAST</imputation>
  <security>AREAZ2 over AREACOAST</security>
  <embargo>AREAZ2 over AREACOAST</embargo>
  <respUnit>AREAZ2 over AREACOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2.5</sumStat>
  <sumStat type="max">76.5</sumStat>
  <sumStat type="mean">24.967</sumStat>
  <sumStat type="stdev">12.391</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V19" name="V9" files="F2" dcml="2" intrvl="contin">
  <labl>AREAZ1+Z2 over AREACOAST</labl>
  <imputation>AREAZ1+Z2 over AREACOAST</imputation>
  <security>AREAZ1+Z2 over AREACOAST</security>
  <embargo>AREAZ1+Z2 over AREACOAST</embargo>
  <respUnit>AREAZ1+Z2 over AREACOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">3.3</sumStat>
  <sumStat type="max">81.1</sumStat>
  <sumStat type="mean">32.484</sumStat>
  <sumStat type="stdev">13.797</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V20" name="increasein" files="F2" dcml="2" intrvl="contin">
  <labl>% increase in surge zone with CC</labl>
  <imputation>% increase in surge zone with CC</imputation>
  <security>% increase in surge zone with CC</security>
  <embargo>% increase in surge zone with CC</embargo>
  <respUnit>% increase in surge zone with CC</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">6</sumStat>
  <sumStat type="max">102.3</sumStat>
  <sumStat type="mean">34.47</sumStat>
  <sumStat type="stdev">15.465</sumStat>
  <codInstr>(AREAZ1/AREAZ2)*100</codInstr>
  <varFormat type="numeric"/>
</var>
<var ID="V31" name="Countryname" files="F4" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>DPR Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Asia and Pacific</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Equatorial Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Eritrea</catValu>
  </catgry>
  <catgry>
    <catValu>French Guiana</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Global</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea-Bissau</catValu>
  </catgry>
  <catgry>
    <catValu>Guyana</catValu>
  </catgry>
  <catgry>
    <catValu>Haiti</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America and the Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East and North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Puerto Rico</catValu>
  </catgry>
  <catgry>
    <catValu>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>The Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>UAE</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Western Sahara</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V32" name="DIVA_Coasline" files="F4" dcml="2" intrvl="contin">
  <labl>Km of coastline</labl>
  <imputation>Km of coastline</imputation>
  <security>Km of coastline</security>
  <embargo>Km of coastline</embargo>
  <respUnit>Km of coastline</respUnit>
  <qstn>
    <qstnLit>length of coastline from DIVA database (km)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">44.211</sumStat>
  <sumStat type="max">269596</sumStat>
  <sumStat type="mean">8986.53</sumStat>
  <sumStat type="stdev">32040.593</sumStat>
  <notes>coastal zone defined as elevation &lt; 10 m</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V33" name="GRTOT" files="F4" dcml="2" intrvl="contin">
  <labl>Total country population</labl>
  <imputation>Total country population</imputation>
  <security>Total country population</security>
  <embargo>Total country population</embargo>
  <respUnit>Total country population</respUnit>
  <qstn>
    <qstnLit>total population from GRUMP 2005</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">152622</sumStat>
  <sumStat type="max">4761957402</sumStat>
  <sumStat type="mean">158731913.4</sumStat>
  <sumStat type="stdev">581872519.455</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V34" name="GRCOAST" files="F4" intrvl="contin">
  <labl>Total coastal population</labl>
  <imputation>Total coastal population</imputation>
  <security>Total coastal population</security>
  <embargo>Total coastal population</embargo>
  <respUnit>Total coastal population</respUnit>
  <qstn>
    <qstnLit>population in coastal zone from GRUMP 2005</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">9361</sumStat>
  <sumStat type="max">707891627</sumStat>
  <sumStat type="mean">23596387.567</sumStat>
  <sumStat type="stdev">89026118.158</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V35" name="GRZ2" files="F4" intrvl="contin">
  <labl>Population exposed to current storm surges</labl>
  <imputation>Population exposed to current storm surges</imputation>
  <security>Population exposed to current storm surges</security>
  <embargo>Population exposed to current storm surges</embargo>
  <respUnit>Population exposed to current storm surges</respUnit>
  <qstn>
    <qstnLit>population in z2 from GRUMP 2005</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2997</sumStat>
  <sumStat type="max">122066082</sumStat>
  <sumStat type="mean">4068869.4</sumStat>
  <sumStat type="stdev">15060664.699</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V36" name="GRZ1" files="F4" intrvl="contin">
  <labl>Increment in exposed population</labl>
  <imputation>Increment in exposed population</imputation>
  <security>Increment in exposed population</security>
  <embargo>Increment in exposed population</embargo>
  <respUnit>Increment in exposed population</respUnit>
  <qstn>
    <qstnLit>population in z1 from GRUMP 2005</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">892</sumStat>
  <sumStat type="max">52007481</sumStat>
  <sumStat type="mean">1733582.7</sumStat>
  <sumStat type="stdev">6487786.278</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V37" name="GRZ1Z2" files="F4" intrvl="contin">
  <labl>Population exposed to storm surges with climate change</labl>
  <imputation>Population exposed to storm surges with climate change</imputation>
  <security>Population exposed to storm surges with climate change</security>
  <embargo>Population exposed to storm surges with climate change</embargo>
  <respUnit>Population exposed to storm surges with climate change</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">3954</sumStat>
  <sumStat type="max">174073563</sumStat>
  <sumStat type="mean">5802452.1</sumStat>
  <sumStat type="stdev">21538910.862</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V38" name="V8" files="F4" dcml="2" intrvl="contin">
  <labl>GRZ2  OVER GRCOAST</labl>
  <imputation>GRZ2  OVER GRCOAST</imputation>
  <security>GRZ2  OVER GRCOAST</security>
  <embargo>GRZ2  OVER GRCOAST</embargo>
  <respUnit>GRZ2  OVER GRCOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.8</sumStat>
  <sumStat type="max">64.1</sumStat>
  <sumStat type="mean">26.719</sumStat>
  <sumStat type="stdev">11.798</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V39" name="V9" files="F4" dcml="2" intrvl="contin">
  <labl>GRZ1+Z2  OVER GRCOAST</labl>
  <imputation>GRZ1+Z2  OVER GRCOAST</imputation>
  <security>GRZ1+Z2  OVER GRCOAST</security>
  <embargo>GRZ1+Z2  OVER GRCOAST</embargo>
  <respUnit>GRZ1+Z2  OVER GRCOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2.4</sumStat>
  <sumStat type="max">73</sumStat>
  <sumStat type="mean">35.341</sumStat>
  <sumStat type="stdev">13.417</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V40" name="increasein" files="F4" dcml="2" intrvl="contin">
  <labl>% increase in population exposed with CC</labl>
  <imputation>% increase in population exposed with CC</imputation>
  <security>% increase in population exposed with CC</security>
  <embargo>% increase in population exposed with CC</embargo>
  <respUnit>% increase in population exposed with CC</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">9</sumStat>
  <sumStat type="max">111.1</sumStat>
  <sumStat type="mean">36.638</sumStat>
  <sumStat type="stdev">17.975</sumStat>
  <codInstr>(GRZ1/GRZ2)*100</codInstr>
  <varFormat type="numeric"/>
</var>
<var ID="V21" name="Countryname" files="F3" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>DPR Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Asia and Pacific</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Equatorial Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Eritrea</catValu>
  </catgry>
  <catgry>
    <catValu>French Guiana</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Global</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea-Bissau</catValu>
  </catgry>
  <catgry>
    <catValu>Guyana</catValu>
  </catgry>
  <catgry>
    <catValu>Haiti</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America and the Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East and North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Puerto Rico</catValu>
  </catgry>
  <catgry>
    <catValu>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>The Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>UAE</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Western Sahara</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V22" name="DIVA_Coasline" files="F3" dcml="2" intrvl="contin">
  <labl>Km of coastline</labl>
  <imputation>Km of coastline</imputation>
  <security>Km of coastline</security>
  <embargo>Km of coastline</embargo>
  <respUnit>Km of coastline</respUnit>
  <qstn>
    <qstnLit>length of coastline from DIVA database (km)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">44.211</sumStat>
  <sumStat type="max">269596</sumStat>
  <sumStat type="mean">8986.53</sumStat>
  <sumStat type="stdev">32040.593</sumStat>
  <notes>coastal zone defined as elevation &lt; 10 m</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V23" name="GDPTOT" files="F3" dcml="2" intrvl="contin">
  <labl>GDP of the country</labl>
  <imputation>GDP of the country</imputation>
  <security>GDP of the country</security>
  <embargo>GDP of the country</embargo>
  <respUnit>GDP of the country</respUnit>
  <qstn>
    <qstnLit>total 2005 estimated GDP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">55771384</sumStat>
  <sumStat type="max">7974584973544</sumStat>
  <sumStat type="mean">265819499118.133</sumStat>
  <sumStat type="stdev">965172071016.382</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V24" name="GDPCOAST" files="F3" dcml="2" intrvl="contin">
  <labl>GDP coastal area</labl>
  <imputation>GDP coastal area</imputation>
  <security>GDP coastal area</security>
  <embargo>GDP coastal area</embargo>
  <respUnit>GDP coastal area</respUnit>
  <qstn>
    <qstnLit>GDP in z1 using gridded 2005 GDP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">5823194</sumStat>
  <sumStat type="max">1375029637604</sumStat>
  <sumStat type="mean">45834321253.467</sumStat>
  <sumStat type="stdev">178617245711.89</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V25" name="GDPZ2" files="F3" dcml="2" intrvl="contin">
  <labl>GDP in current storm surge zone</labl>
  <imputation>GDP in current storm surge zone</imputation>
  <security>GDP in current storm surge zone</security>
  <embargo>GDP in current storm surge zone</embargo>
  <respUnit>GDP in current storm surge zone</respUnit>
  <qstn>
    <qstnLit>GDP in z2 using gridded 2005 GDP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">524367</sumStat>
  <sumStat type="max">268684843006</sumStat>
  <sumStat type="mean">8956161433.533</sumStat>
  <sumStat type="stdev">33731199548.93</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V26" name="GDPZ1" files="F3" dcml="2" intrvl="contin">
  <labl>Increment in GDP exposure with climate change</labl>
  <imputation>Increment in GDP exposure with climate change</imputation>
  <security>Increment in GDP exposure with climate change</security>
  <embargo>Increment in GDP exposure with climate change</embargo>
  <respUnit>Increment in GDP exposure with climate change</respUnit>
  <qstn>
    <qstnLit>GDP in z1 using gridded 2005 GDP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">170052</sumStat>
  <sumStat type="max">122109546336</sumStat>
  <sumStat type="mean">4070318211.2</sumStat>
  <sumStat type="stdev">15956957795.748</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V27" name="GDPZ1Z2" files="F3" dcml="2" intrvl="contin">
  <labl>GDP in Surge zone with climate change</labl>
  <imputation>GDP in Surge zone with climate change</imputation>
  <security>GDP in Surge zone with climate change</security>
  <embargo>GDP in Surge zone with climate change</embargo>
  <respUnit>GDP in Surge zone with climate change</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">694419</sumStat>
  <sumStat type="max">390794389342</sumStat>
  <sumStat type="mean">13026479644.733</sumStat>
  <sumStat type="stdev">49633464059.673</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V28" name="V8" files="F3" dcml="2" intrvl="contin">
  <labl>GDPZ2 over GDPCOAST</labl>
  <imputation>GDPZ2 over GDPCOAST</imputation>
  <security>GDPZ2 over GDPCOAST</security>
  <embargo>GDPZ2 over GDPCOAST</embargo>
  <respUnit>GDPZ2 over GDPCOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2</sumStat>
  <sumStat type="max">60.5</sumStat>
  <sumStat type="mean">26.134</sumStat>
  <sumStat type="stdev">11.244</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V29" name="V9" files="F3" dcml="2" intrvl="contin">
  <labl>GDPZ1+Z2 over GDPCOAST</labl>
  <imputation>GDPZ1+Z2 over GDPCOAST</imputation>
  <security>GDPZ1+Z2 over GDPCOAST</security>
  <embargo>GDPZ1+Z2 over GDPCOAST</embargo>
  <respUnit>GDPZ1+Z2 over GDPCOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2.7</sumStat>
  <sumStat type="max">65.7</sumStat>
  <sumStat type="mean">35.003</sumStat>
  <sumStat type="stdev">13.039</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V30" name="increasein" files="F3" dcml="2" intrvl="contin">
  <labl>% increase in surge zone with CC</labl>
  <imputation>% increase in surge zone with CC</imputation>
  <security>% increase in surge zone with CC</security>
  <embargo>% increase in surge zone with CC</embargo>
  <respUnit>% increase in surge zone with CC</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">7.8</sumStat>
  <sumStat type="max">122.1</sumStat>
  <sumStat type="mean">38.479</sumStat>
  <sumStat type="stdev">19.233</sumStat>
  <codInstr>(GDPZ1/GDPZ2)*100</codInstr>
  <varFormat type="numeric"/>
</var>
<var ID="V1" name="Countryname" files="F1" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>DPR Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Asia and Pacific</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Equatorial Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Eritrea</catValu>
  </catgry>
  <catgry>
    <catValu>French Guiana</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Global</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea-Bissau</catValu>
  </catgry>
  <catgry>
    <catValu>Guyana</catValu>
  </catgry>
  <catgry>
    <catValu>Haiti</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America and the Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East and North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Puerto Rico</catValu>
  </catgry>
  <catgry>
    <catValu>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>The Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>UAE</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Western Sahara</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V2" name="DIVA_Coasline" files="F1" dcml="2" intrvl="contin">
  <labl>Km of coastline</labl>
  <imputation>Km of coastline</imputation>
  <security>Km of coastline</security>
  <embargo>Km of coastline</embargo>
  <respUnit>Km of coastline</respUnit>
  <qstn>
    <qstnLit>length of coastline from DIVA database (km)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">44.211</sumStat>
  <sumStat type="max">269596</sumStat>
  <sumStat type="mean">8986.53</sumStat>
  <sumStat type="stdev">32040.593</sumStat>
  <notes>coastal zone defined as elevation &lt; 10 m</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V3" name="AG1TOT" files="F1" intrvl="contin">
  <labl>Total area of cropland (km2)</labl>
  <imputation>Total area of cropland (km2)</imputation>
  <security>Total area of cropland (km2)</security>
  <embargo>Total area of cropland (km2)</embargo>
  <respUnit>Total area of cropland (km2)</respUnit>
  <qstn>
    <qstnLit>total area of cropland from globcov (2005)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">6474010</sumStat>
  <sumStat type="mean">215800.333</sumStat>
  <sumStat type="stdev">815382.15</sumStat>
  <notes>AG1 = rainfed/irrigated/post-flooding cropland</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V4" name="AG1COAST" files="F1" dcml="2" intrvl="contin">
  <labl>Coastal area of cropland (km2)</labl>
  <imputation>Coastal area of cropland (km2)</imputation>
  <security>Coastal area of cropland (km2)</security>
  <embargo>Coastal area of cropland (km2)</embargo>
  <respUnit>Coastal area of cropland (km2)</respUnit>
  <qstn>
    <qstnLit>area of croplands in coastal zone (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">505265</sumStat>
  <sumStat type="mean">16842.167</sumStat>
  <sumStat type="stdev">67181.842</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V5" name="AG1Z2" files="F1" dcml="2" intrvl="contin">
  <labl>Current surge zone (km2)</labl>
  <imputation>Current surge zone (km2)</imputation>
  <security>Current surge zone (km2)</security>
  <embargo>Current surge zone (km2)</embargo>
  <respUnit>Current surge zone (km2)</respUnit>
  <qstn>
    <qstnLit>area of croplands in z2 (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">59336</sumStat>
  <sumStat type="mean">1977.867</sumStat>
  <sumStat type="stdev">7919.317</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V6" name="AG1Z1" files="F1" dcml="2" intrvl="contin">
  <labl>Cropland in current of cropland with climate change</labl>
  <imputation>Cropland in current of cropland with climate change</imputation>
  <security>Cropland in current of cropland with climate change</security>
  <embargo>Cropland in current of cropland with climate change</embargo>
  <respUnit>Cropland in current of cropland with climate change</respUnit>
  <qstn>
    <qstnLit>area of croplands in z1 (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">29164</sumStat>
  <sumStat type="mean">972.133</sumStat>
  <sumStat type="stdev">3855.094</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V7" name="AG1Z1Z2" files="F1" dcml="2" intrvl="contin">
  <labl>Cropland in surge zone with climate change</labl>
  <imputation>Cropland in surge zone with climate change</imputation>
  <security>Cropland in surge zone with climate change</security>
  <embargo>Cropland in surge zone with climate change</embargo>
  <respUnit>Cropland in surge zone with climate change</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">88500</sumStat>
  <sumStat type="mean">2950</sumStat>
  <sumStat type="stdev">11769.371</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V8" name="V8" files="F1" dcml="2" intrvl="contin">
  <labl>AG1Z2 over AREACOAST</labl>
  <imputation>AG1Z2 over AREACOAST</imputation>
  <security>AG1Z2 over AREACOAST</security>
  <embargo>AG1Z2 over AREACOAST</embargo>
  <respUnit>AG1Z2 over AREACOAST</respUnit>
  <sumStat type="vald">83</sumStat>
  <sumStat type="invd">7</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">100</sumStat>
  <sumStat type="mean">18.071</sumStat>
  <sumStat type="stdev">22.556</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V9" name="V9" files="F1" dcml="2" intrvl="contin">
  <labl>AG1Z1+Z2 over AREACOAST</labl>
  <imputation>AG1Z1+Z2 over AREACOAST</imputation>
  <security>AG1Z1+Z2 over AREACOAST</security>
  <embargo>AG1Z1+Z2 over AREACOAST</embargo>
  <respUnit>AG1Z1+Z2 over AREACOAST</respUnit>
  <sumStat type="vald">83</sumStat>
  <sumStat type="invd">7</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">100</sumStat>
  <sumStat type="mean">22.51</sumStat>
  <sumStat type="stdev">23.536</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V10" name="increasein" files="F1" dcml="2" intrvl="contin">
  <labl>% increase in surge zone with CC</labl>
  <imputation>% increase in surge zone with CC</imputation>
  <security>% increase in surge zone with CC</security>
  <embargo>% increase in surge zone with CC</embargo>
  <respUnit>% increase in surge zone with CC</respUnit>
  <sumStat type="vald">59</sumStat>
  <sumStat type="invd">31</sumStat>
  <sumStat type="min">14.3</sumStat>
  <sumStat type="max">328.6</sumStat>
  <sumStat type="mean">67.964</sumStat>
  <sumStat type="stdev">60.864</sumStat>
  <codInstr>(AG1Z1/AG1Z2)*100</codInstr>
  <varFormat type="numeric"/>
</var>
<var ID="V41" name="Countryname" files="F5" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>DPR Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Asia and Pacific</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Equatorial Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Eritrea</catValu>
  </catgry>
  <catgry>
    <catValu>French Guiana</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Global</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea-Bissau</catValu>
  </catgry>
  <catgry>
    <catValu>Guyana</catValu>
  </catgry>
  <catgry>
    <catValu>Haiti</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America and the Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East and North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Puerto Rico</catValu>
  </catgry>
  <catgry>
    <catValu>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>The Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>UAE</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Western Sahara</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V42" name="DIVA_Coasline" files="F5" dcml="2" intrvl="contin">
  <labl>Km of coastline</labl>
  <imputation>Km of coastline</imputation>
  <security>Km of coastline</security>
  <embargo>Km of coastline</embargo>
  <respUnit>Km of coastline</respUnit>
  <qstn>
    <qstnLit>length of coastline from DIVA database (km)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">44.211</sumStat>
  <sumStat type="max">269596</sumStat>
  <sumStat type="mean">8986.53</sumStat>
  <sumStat type="stdev">32040.593</sumStat>
  <notes>coastal zone defined as elevation &lt; 10 m</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V43" name="URBTOT" files="F5" intrvl="contin">
  <labl>Total country urban area (km2)</labl>
  <imputation>Total country urban area (km2)</imputation>
  <security>Total country urban area (km2)</security>
  <embargo>Total country urban area (km2)</embargo>
  <respUnit>Total country urban area (km2)</respUnit>
  <qstn>
    <qstnLit>urban area as defined by GRUMP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">83</sumStat>
  <sumStat type="max">1646992</sumStat>
  <sumStat type="mean">54899.733</sumStat>
  <sumStat type="stdev">194254.466</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V44" name="URBCOAST" files="F5" dcml="2" intrvl="contin">
  <labl>Coastal urban area (km2)</labl>
  <imputation>Coastal urban area (km2)</imputation>
  <security>Coastal urban area (km2)</security>
  <embargo>Coastal urban area (km2)</embargo>
  <respUnit>Coastal urban area (km2)</respUnit>
  <qstn>
    <qstnLit>area of coastal zone that is defined as urban in GRUMP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">10</sumStat>
  <sumStat type="max">206254</sumStat>
  <sumStat type="mean">6875.133</sumStat>
  <sumStat type="stdev">25263.831</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V45" name="URBZ2" files="F5" dcml="2" intrvl="contin">
  <labl>Urban Area in Current Surge Zone</labl>
  <imputation>Urban Area in Current Surge Zone</imputation>
  <security>Urban Area in Current Surge Zone</security>
  <embargo>Urban Area in Current Surge Zone</embargo>
  <respUnit>Urban Area in Current Surge Zone</respUnit>
  <qstn>
    <qstnLit>area of z2 that is defined as urban in GRUMP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">2</sumStat>
  <sumStat type="max">40189</sumStat>
  <sumStat type="mean">1339.633</sumStat>
  <sumStat type="stdev">4758.097</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V46" name="URBZ1" files="F5" dcml="2" intrvl="contin">
  <labl>Increment in exposure of Urban Area with climate change</labl>
  <imputation>Increment in exposure of Urban Area with climate change</imputation>
  <security>Increment in exposure of Urban Area with climate change</security>
  <embargo>Increment in exposure of Urban Area with climate change</embargo>
  <respUnit>Increment in exposure of Urban Area with climate change</respUnit>
  <qstn>
    <qstnLit>area of z1 that is defined as urban in GRUMP</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1</sumStat>
  <sumStat type="max">14991</sumStat>
  <sumStat type="mean">499.7</sumStat>
  <sumStat type="stdev">1796.677</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V47" name="URBZ1Z2" files="F5" dcml="2" intrvl="contin">
  <labl>Urban Area in Surge zone with climate change</labl>
  <imputation>Urban Area in Surge zone with climate change</imputation>
  <security>Urban Area in Surge zone with climate change</security>
  <embargo>Urban Area in Surge zone with climate change</embargo>
  <respUnit>Urban Area in Surge zone with climate change</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">3</sumStat>
  <sumStat type="max">55180</sumStat>
  <sumStat type="mean">1839.333</sumStat>
  <sumStat type="stdev">6551.931</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V48" name="V8" files="F5" dcml="2" intrvl="contin">
  <labl>URBZ2 over URBCOAST</labl>
  <imputation>URBZ2 over URBCOAST</imputation>
  <security>URBZ2 over URBCOAST</security>
  <embargo>URBZ2 over URBCOAST</embargo>
  <respUnit>URBZ2 over URBCOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">4.2</sumStat>
  <sumStat type="max">88.2</sumStat>
  <sumStat type="mean">28.248</sumStat>
  <sumStat type="stdev">12.833</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V49" name="V9" files="F5" dcml="2" intrvl="contin">
  <labl>URBZ1+Z2 over URBCOAST</labl>
  <imputation>URBZ1+Z2 over URBCOAST</imputation>
  <security>URBZ1+Z2 over URBCOAST</security>
  <embargo>URBZ1+Z2 over URBCOAST</embargo>
  <respUnit>URBZ1+Z2 over URBCOAST</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">8.3</sumStat>
  <sumStat type="max">94.1</sumStat>
  <sumStat type="mean">36.894</sumStat>
  <sumStat type="stdev">14.388</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V50" name="increasein" files="F5" dcml="2" intrvl="contin">
  <labl>% increase in surge zone with CC</labl>
  <imputation>% increase in surge zone with CC</imputation>
  <security>% increase in surge zone with CC</security>
  <embargo>% increase in surge zone with CC</embargo>
  <respUnit>% increase in surge zone with CC</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">5.6</sumStat>
  <sumStat type="max">130.1</sumStat>
  <sumStat type="mean">35.209</sumStat>
  <sumStat type="stdev">19.536</sumStat>
  <codInstr>(URBZ1/URBZ2)*100</codInstr>
  <varFormat type="numeric"/>
</var>
<var ID="V51" name="Countryname" files="F6" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>DPR Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Asia and Pacific</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Equatorial Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Eritrea</catValu>
  </catgry>
  <catgry>
    <catValu>French Guiana</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Global</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Guinea-Bissau</catValu>
  </catgry>
  <catgry>
    <catValu>Guyana</catValu>
  </catgry>
  <catgry>
    <catValu>Haiti</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America and the Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East and North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guinea</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Puerto Rico</catValu>
  </catgry>
  <catgry>
    <catValu>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>The Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>UAE</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Western Sahara</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V52" name="DIVA_Coasline" files="F6" dcml="2" intrvl="contin">
  <labl>Km of coastline</labl>
  <imputation>Km of coastline</imputation>
  <security>Km of coastline</security>
  <embargo>Km of coastline</embargo>
  <respUnit>Km of coastline</respUnit>
  <qstn>
    <qstnLit>length of coastline from DIVA database (km)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">44.211</sumStat>
  <sumStat type="max">269596</sumStat>
  <sumStat type="mean">8986.53</sumStat>
  <sumStat type="stdev">32040.593</sumStat>
  <notes>coastal zone defined as elevation &lt; 10 m</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V53" name="GLWD1TOT" files="F6" intrvl="contin">
  <labl>Total wetland area (km2)</labl>
  <imputation>Total wetland area (km2)</imputation>
  <security>Total wetland area (km2)</security>
  <embargo>Total wetland area (km2)</embargo>
  <respUnit>Total wetland area (km2)</respUnit>
  <qstn>
    <qstnLit>total wetland area from Global Lakes and Wetlands database (excluding lakes and rivers) (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">4388959</sumStat>
  <sumStat type="mean">146298.633</sumStat>
  <sumStat type="stdev">517582.247</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V54" name="GLWD1COAST" files="F6" dcml="2" intrvl="contin">
  <labl>Area of coastal wetland (km2)</labl>
  <imputation>Area of coastal wetland (km2)</imputation>
  <security>Area of coastal wetland (km2)</security>
  <embargo>Area of coastal wetland (km2)</embargo>
  <respUnit>Area of coastal wetland (km2)</respUnit>
  <qstn>
    <qstnLit>area of wetlands in coastal zone (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">663930</sumStat>
  <sumStat type="mean">22131</sumStat>
  <sumStat type="stdev">77354.852</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V55" name="GLWD1Z2" files="F6" dcml="2" intrvl="contin">
  <labl>Wetlands in current storm surge zone</labl>
  <imputation>Wetlands in current storm surge zone</imputation>
  <security>Wetlands in current storm surge zone</security>
  <embargo>Wetlands in current storm surge zone</embargo>
  <respUnit>Wetlands in current storm surge zone</respUnit>
  <qstn>
    <qstnLit>area of wetlands in z2 (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">152767</sumStat>
  <sumStat type="mean">5092.233</sumStat>
  <sumStat type="stdev">17606.077</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V56" name="GLWD1Z1" files="F6" dcml="2" intrvl="contin">
  <labl>Increment in exposure of wetlands with climate change</labl>
  <imputation>Increment in exposure of wetlands with climate change</imputation>
  <security>Increment in exposure of wetlands with climate change</security>
  <embargo>Increment in exposure of wetlands with climate change</embargo>
  <respUnit>Increment in exposure of wetlands with climate change</respUnit>
  <qstn>
    <qstnLit>area of wetlands in z1 (km²)</qstnLit>
  </qstn>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">45741</sumStat>
  <sumStat type="mean">1524.7</sumStat>
  <sumStat type="stdev">5284.957</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V57" name="GLWD1Z1Z2" files="F6" dcml="2" intrvl="contin">
  <labl>Wetlands in surge zone with climate change</labl>
  <imputation>Wetlands in surge zone with climate change</imputation>
  <security>Wetlands in surge zone with climate change</security>
  <embargo>Wetlands in surge zone with climate change</embargo>
  <respUnit>Wetlands in surge zone with climate change</respUnit>
  <sumStat type="vald">90</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min"/>
  <sumStat type="max">198508</sumStat>
  <sumStat type="mean">6616.933</sumStat>
  <sumStat type="stdev">22880.734</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V58" name="GLWDZ2" files="F6" dcml="2" intrvl="contin">
  <labl>GLWDZ2 over GLWD1COAST</labl>
  <imputation>GLWDZ2 over GLWD1COAST</imputation>
  <security>GLWDZ2 over GLWD1COAST</security>
  <embargo>GLWDZ2 over GLWD1COAST</embargo>
  <respUnit>GLWDZ2 over GLWD1COAST</respUnit>
  <sumStat type="vald">89</sumStat>
  <sumStat type="invd">1</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">100</sumStat>
  <sumStat type="mean">30.824</sumStat>
  <sumStat type="stdev">21.101</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V59" name="GLWDZ1Z2" files="F6" dcml="2" intrvl="contin">
  <labl>GLWDZ1+Z2 over GLWD1COAST</labl>
  <imputation>GLWDZ1+Z2 over GLWD1COAST</imputation>
  <security>GLWDZ1+Z2 over GLWD1COAST</security>
  <embargo>GLWDZ1+Z2 over GLWD1COAST</embargo>
  <respUnit>GLWDZ1+Z2 over GLWD1COAST</respUnit>
  <sumStat type="vald">89</sumStat>
  <sumStat type="invd">1</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">100</sumStat>
  <sumStat type="mean">37.84</sumStat>
  <sumStat type="stdev">21.447</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V60" name="increasein" files="F6" dcml="2" intrvl="contin">
  <labl>% increase in surge zone with CC</labl>
  <imputation>% increase in surge zone with CC</imputation>
  <security>% increase in surge zone with CC</security>
  <embargo>% increase in surge zone with CC</embargo>
  <respUnit>% increase in surge zone with CC</respUnit>
  <sumStat type="vald">85</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min">2.1</sumStat>
  <sumStat type="max">339.1</sumStat>
  <sumStat type="mean">40.695</sumStat>
  <sumStat type="stdev">49.436</sumStat>
  <codInstr>(GLWD1Z1/ GLWD1Z2)*100</codInstr>
  <varFormat type="numeric"/>
</var>
</dataDscr></codeBook>
