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<codeBook version="1.2.2" ID="WLD_2000_II_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_2000_II_v02_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer></producer>
      <prodDate date="2010-09-15">2010-09-15</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>DDI Document  - Version 02 - (04/21/21)
 This version is identical to DDI_WLD_2000_II_v01_M but country field has been updated to capture all the countries covered by survey.

 Version 01 (September 2010)</version>
    </verStmt>
  </citation>
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<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Investing in Infrastructure 1960-2000</titl>
      <subTitl/>
      <altTitl>II 2000</altTitl>
      <parTitl/>
      <IDNo>WLD_2000_II_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="World Bank">Marianne Fay and Tito Yepes Delgado</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2022-06-13">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>Macroeconomics - Indicators</serName>
      <serInfo><![CDATA[]]></serInfo>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes><![CDATA[]]></notes>
    </verStmt>
    <biblCit format=""><![CDATA[]]></biblCit>
    <notes><![CDATA[]]></notes>
  </citation>
  <stdyInfo>
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    <subject>
    </subject>
    <abstract><![CDATA[Fay and Yepes estimate demand for infrastructure services over the first decade of the new millennium based on a model that relates demand for infrastructure with the structural change and growth in income the world is expected to undergo between now and 2010. It should be noted that predictions are based on estimated demand rather than on any absolute measure of “need” such as those developed in the Millenium Development Goals. The authors also provide estimates of associated investment and maintenance expenditures and predict total required resource flows to satisfy new demand while maintaining service for existing infrastructure.]]></abstract>
    <sumDscr>
      <timePrd date="1960" event="start" cycle=""/>
      <timePrd date="2000" event="end" cycle=""/>
      <collDate date="1960" event="start" cycle=""/>
      <collDate date="2000" event="end" cycle=""/>
      <nation abbr="AGO">Angola</nation>
      <nation abbr="ALB">Albania</nation>
      <nation abbr="ARG">Argentina</nation>
      <nation abbr="AUS">Australia</nation>
      <nation abbr="AUT">Austria</nation>
      <nation abbr="BDI">Burundi</nation>
      <nation abbr="BEL">Belgium</nation>
      <nation abbr="BEN">Benin</nation>
      <nation abbr="BFA">Burkina Faso</nation>
      <nation abbr="BGR">Bulgaria</nation>
      <nation abbr="BOL">Bolivia</nation>
      <nation abbr="BRA">Brazil</nation>
      <nation abbr="BRB">Barbados</nation>
      <nation abbr="BWA">Botswana</nation>
      <nation abbr="CAN">Canada</nation>
      <nation abbr="CHE">Switzerland</nation>
      <nation abbr="CHL">Chile</nation>
      <nation abbr="CHN">China</nation>
      <nation abbr="CMR">Cameroon</nation>
      <nation abbr="COG">Congo, Rep.</nation>
      <nation abbr="COL">Colombia</nation>
      <nation abbr="CPV">Cabo Verde</nation>
      <nation abbr="CRI">Costa Rica</nation>
      <nation abbr="CZE">Czech Republic</nation>
      <nation abbr="DNK">Denmark</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="ESP">Spain</nation>
      <nation abbr="ETH">Ethiopia</nation>
      <nation abbr="FIN">Finland</nation>
      <nation abbr="FRA">France</nation>
      <nation abbr="GAB">Gabon</nation>
      <nation abbr="GBR">United Kingdom</nation>
      <nation abbr="GHA">Ghana</nation>
      <nation abbr="GIN">Guinea</nation>
      <nation abbr="GMB">Gambia, The</nation>
      <nation abbr="GNB">Guinea-Bissau</nation>
      <nation abbr="GRC">Greece</nation>
      <nation abbr="GTM">Guatemala</nation>
      <nation abbr="GUY">Guyana</nation>
      <nation abbr="HKG">Hong Kong SAR, China</nation>
      <nation abbr="HND">Honduras</nation>
      <nation abbr="HTI">Haiti</nation>
      <nation abbr="HUN">Hungary</nation>
      <nation abbr="IDN">Indonesia</nation>
      <nation abbr="IND">India</nation>
      <nation abbr="IRL">Ireland</nation>
      <nation abbr="IRN">Iran, Islamic Rep.</nation>
      <nation abbr="ISR">Israel</nation>
      <nation abbr="ITA">Italy</nation>
      <nation abbr="JAM">Jamaica</nation>
      <nation abbr="JOR">Jordan</nation>
      <nation abbr="JPN">Japan</nation>
      <nation abbr="KOR">Korea, Rep.</nation>
      <nation abbr="KWT">Kuwait</nation>
      <nation abbr="LAO">Lao PDR</nation>
      <nation abbr="LKA">Sri Lanka</nation>
      <nation abbr="LSO">Lesotho</nation>
      <nation abbr="MAR">Morocco</nation>
      <nation abbr="MDG">Madagascar</nation>
      <nation abbr="MEX">Mexico</nation>
      <nation abbr="MLI">Mali</nation>
      <nation abbr="MNG">Mongolia</nation>
      <nation abbr="MOZ">Mozambique</nation>
      <nation abbr="MRT">Mauritania</nation>
      <nation abbr="MUS">Mauritius</nation>
      <nation abbr="MWI">Malawi</nation>
      <nation abbr="MYS">Malaysia</nation>
      <nation abbr="NAM">Namibia</nation>
      <nation abbr="NER">Niger</nation>
      <nation abbr="NGA">Nigeria</nation>
      <nation abbr="NLD">Netherlands</nation>
      <nation abbr="NOR">Norway</nation>
      <nation abbr="NPL">Nepal</nation>
      <nation abbr="NZL">New Zealand</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="POL">Poland</nation>
      <nation abbr="PRT">Portugal</nation>
      <nation abbr="PRY">Paraguay</nation>
      <nation abbr="ROU">Romania</nation>
      <nation abbr="RWA">Rwanda</nation>
      <nation abbr="SAU">Saudi Arabia</nation>
      <nation abbr="SDN">Sudan</nation>
      <nation abbr="SEN">Senegal</nation>
      <nation abbr="SGP">Singapore</nation>
      <nation abbr="SLE">Sierra Leone</nation>
      <nation abbr="SLV">El Salvador</nation>
      <nation abbr="SWE">Sweden</nation>
      <nation abbr="SWZ">Eswatini</nation>
      <nation abbr="SYR">Syrian Arab Republic</nation>
      <nation abbr="TCD">Chad</nation>
      <nation abbr="TGO">Togo</nation>
      <nation abbr="THA">Thailand</nation>
      <nation abbr="TTO">Trinidad and Tobago</nation>
      <nation abbr="TUN">Tunisia</nation>
      <nation abbr="TUR">Turkiye</nation>
      <nation abbr="TZA">Tanzania</nation>
      <nation abbr="UGA">Uganda</nation>
      <nation abbr="URY">Uruguay</nation>
      <nation abbr="USA">United States</nation>
      <nation abbr="VEN">Venezuela, RB</nation>
      <nation abbr="YEM">Yemen, Rep.</nation>
      <nation abbr="ZAF">South Africa</nation>
      <nation abbr="ZMB">Zambia</nation>
      <nation abbr="ZWE">Zimbabwe</nation>
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    <notes><![CDATA[The datasets include indicators related to:
- GDP per capita
- Population
- Surface area
- Infrastructure (electric generation capacity, telephone mainlines, paved roads, rail route length, safe drinking water, improved sanitation)
- Number of mobile user]]></notes>
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      <evaluationProcess/>
      <outcomes/>
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      <deviat/>
      <collMode>Other [oth]</collMode>
      <resInstru><![CDATA[]]></resInstru>
      <instrumentDevelopment type=""/>
      <collSitu><![CDATA[]]></collSitu>
      <actMin><![CDATA[]]></actMin>
      <ConOps><![CDATA[]]></ConOps>
      <weight><![CDATA[]]></weight>
      <cleanOps><![CDATA[]]></cleanOps>
    </dataColl>
    <notes><![CDATA[]]></notes>
    <anlyInfo>
      <respRate><![CDATA[]]></respRate>
      <EstSmpErr><![CDATA[]]></EstSmpErr>
      <dataAppr><![CDATA[]]></dataAppr>
    </anlyInfo>
    <stdyClas><![CDATA[]]></stdyClas>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
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      <origArch/>
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      <complete/>
      <fileQnty/>
      <notes><![CDATA[]]></notes>
    </setAvail>
    <useStmt>
      <restrctn/>
      <citReq><![CDATA[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:

Marianne Fay and Tito Yepes Delgado, World Bank. Investing in Infrastructure (II) 1960-2000. Ref. WLD_2000_II_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date]]]></citReq>
      <deposReq><![CDATA[]]></deposReq>
      <conditions><![CDATA[]]></conditions>
      <disclaimer><![CDATA[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><![CDATA[]]></notes>
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  <notes><![CDATA[]]></notes>
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      <varQnty>14</varQnty>
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      <varQnty>4</varQnty>
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  <notes></notes>
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<dataDscr>
<var ID="V1" name="country" files="F1" intrvl="discrete">
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  <location StartPos="1" EndPos="26" width="26" RecSegNo="1"/>
  <labl>Country</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Albania</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Australia</catValu>
  </catgry>
  <catgry>
    <catValu>Austria</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Barbados</catValu>
  </catgry>
  <catgry>
    <catValu>Belgium</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Bolivia</catValu>
  </catgry>
  <catgry>
    <catValu>Botswana</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Bulgaria</catValu>
  </catgry>
  <catgry>
    <catValu>Burkina Faso</catValu>
  </catgry>
  <catgry>
    <catValu>Burundi</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Canada</catValu>
  </catgry>
  <catgry>
    <catValu>Cape Verde</catValu>
  </catgry>
  <catgry>
    <catValu>Chad</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Czech Republic</catValu>
  </catgry>
  <catgry>
    <catValu>Denmark</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Ethiopia</catValu>
  </catgry>
  <catgry>
    <catValu>Finland</catValu>
  </catgry>
  <catgry>
    <catValu>France</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Greece</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>Hong Kong</catValu>
  </catgry>
  <catgry>
    <catValu>Hungary</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran (Islamic Republic of)</catValu>
  </catgry>
  <catgry>
    <catValu>Ireland</catValu>
  </catgry>
  <catgry>
    <catValu>Israel</catValu>
  </catgry>
  <catgry>
    <catValu>Italy</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Japan</catValu>
  </catgry>
  <catgry>
    <catValu>Jordan</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Laos</catValu>
  </catgry>
  <catgry>
    <catValu>Lesotho</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malawi</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mali</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritius</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Mongolia</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nepal</catValu>
  </catgry>
  <catgry>
    <catValu>Netherlands</catValu>
  </catgry>
  <catgry>
    <catValu>New Zealand</catValu>
  </catgry>
  <catgry>
    <catValu>Niger</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Norway</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>Paraguay</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
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  <catgry>
    <catValu>Poland</catValu>
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  <catgry>
    <catValu>Portugal</catValu>
  </catgry>
  <catgry>
    <catValu>Romania</catValu>
  </catgry>
  <catgry>
    <catValu>Rwanda</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Singapore</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Spain</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Swaziland</catValu>
  </catgry>
  <catgry>
    <catValu>Sweden</catValu>
  </catgry>
  <catgry>
    <catValu>Switzerland</catValu>
  </catgry>
  <catgry>
    <catValu>Syria</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
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  <catgry>
    <catValu>Thailand</catValu>
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  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Trinidad and Tobago</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>Turkey</catValu>
  </catgry>
  <catgry>
    <catValu>Uganda</catValu>
  </catgry>
  <catgry>
    <catValu>United Kingdom</catValu>
  </catgry>
  <catgry>
    <catValu>United States of America</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <catgry>
    <catValu>Zambia</catValu>
  </catgry>
  <catgry>
    <catValu>Zimbabwe</catValu>
  </catgry>
</var>
<var ID="V2" name="year" files="F1" intrvl="discrete">
  <varFormat type="numeric"/>
  <location StartPos="27" EndPos="30" width="4" RecSegNo="1"/>
  <labl>Year</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1960</sumStat>
  <sumStat type="max">2000</sumStat>
  <catgry>
    <catValu>1960</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
  </catgry>
</var>
<var ID="V3" name="incomegroup" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location StartPos="31" EndPos="36" width="6" RecSegNo="1"/>
  <labl>Income Group</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>High</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Low</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Medium</catValu>
  </catgry>
</var>
<var ID="V4" name="gdppercapita" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="37" EndPos="41" width="5" RecSegNo="1"/>
  <labl>GDP per Capita</labl>
  <sumStat type="vald">921</sumStat>
  <sumStat type="invd">105</sumStat>
  <sumStat type="min">88</sumStat>
  <sumStat type="max">45478</sumStat>
  <sumStat type="mean">5459.06</sumStat>
  <sumStat type="stdev">8508.217</sumStat>
  <notes>Units: Constant 1995 US$</notes>
</var>
<var ID="V5" name="totalpopulation" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="42" EndPos="48" width="7" RecSegNo="1"/>
  <labl>Total Population</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">93</sumStat>
  <sumStat type="max">1277558</sumStat>
  <sumStat type="mean">33989.735</sumStat>
  <sumStat type="stdev">118171.443</sumStat>
  <notes>Units: Thousands</notes>
</var>
<var ID="V6" name="urbanpopulation" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="49" EndPos="54" width="6" RecSegNo="1"/>
  <labl>Urban Population</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">8</sumStat>
  <sumStat type="max">409965</sumStat>
  <sumStat type="mean">13356.417</sumStat>
  <sumStat type="stdev">35290.843</sumStat>
  <notes>Units: Thousands</notes>
</var>
<var ID="V7" name="surfacearea" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="55" EndPos="61" width="7" RecSegNo="1"/>
  <labl>Surface Area</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">430</sumStat>
  <sumStat type="max">9970600</sumStat>
  <sumStat type="mean">900587.474</sumStat>
  <sumStat type="stdev">1884118.228</sumStat>
  <notes>Units: Km2</notes>
</var>
<var ID="V8" name="electricgenerationcapacity" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
  <labl>Electric Generation Capacity</labl>
  <sumStat type="vald">965</sumStat>
  <sumStat type="invd">61</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">794887</sumStat>
  <sumStat type="mean">14082.306</sumStat>
  <sumStat type="stdev">59384.9</sumStat>
  <notes>Units: Megawatts</notes>
</var>
<var ID="V9" name="telephonemainlines" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="68" EndPos="76" width="9" RecSegNo="1"/>
  <labl>Telephone Mainlines</labl>
  <sumStat type="vald">911</sumStat>
  <sumStat type="invd">115</sumStat>
  <sumStat type="min">188</sumStat>
  <sumStat type="max">188751133</sumStat>
  <sumStat type="mean">3242928.865</sumStat>
  <sumStat type="stdev">13482390.663</sumStat>
  <notes>Units: No. of Lines</notes>
</var>
<var ID="V10" name="pavedroads" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="77" EndPos="83" width="7" RecSegNo="1"/>
  <labl>Paved Roads</labl>
  <sumStat type="vald">810</sumStat>
  <sumStat type="invd">216</sumStat>
  <sumStat type="min">10</sumStat>
  <sumStat type="max">3763693</sumStat>
  <sumStat type="mean">84015.777</sumStat>
  <sumStat type="stdev">349684.999</sumStat>
  <notes>Units: Km</notes>
</var>
<var ID="V11" name="railrouthlength" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="84" EndPos="89" width="6" RecSegNo="1"/>
  <labl>Rail Routh Length</labl>
  <sumStat type="vald">835</sumStat>
  <sumStat type="invd">191</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">350116</sumStat>
  <sumStat type="mean">9604.847</sumStat>
  <sumStat type="stdev">31017.74</sumStat>
  <notes>Units: Km</notes>
</var>
<var ID="V12" name="safedrinkingwater" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="90" EndPos="92" width="3" RecSegNo="1"/>
  <labl>Safe Drinking Water</labl>
  <sumStat type="vald">247</sumStat>
  <sumStat type="invd">779</sumStat>
  <sumStat type="min">11</sumStat>
  <sumStat type="max">100</sumStat>
  <sumStat type="mean">73.202</sumStat>
  <sumStat type="stdev">21.674</sumStat>
  <notes>Units: %</notes>
  <txt>Safe water is defined as percentage of population with reasonable access to an adequate amount of safe water, including treated surface water and untreated but uncontaminated water such as from springs, sanitary wells, and protected boreholes.  In urban areas this may be a public fountain or standpipe located no more than 200 m from the dwelling.  In rural areas, the definition implies that members of the household do not have to spend a disproportionate part of the day fetching water.   Sanitation is defined as percentage of population with at least adequate excreta disposal facilities that can effectively prevent human, animal and insect contact with excreta.  Suitable facilities range from simple but protected pit latrines to flush toilets with sewerage connection.</txt>
</var>
<var ID="V13" name="improvedsanitation" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="93" EndPos="95" width="3" RecSegNo="1"/>
  <labl>Improved Sanitation</labl>
  <sumStat type="vald">209</sumStat>
  <sumStat type="invd">817</sumStat>
  <sumStat type="min">8</sumStat>
  <sumStat type="max">100</sumStat>
  <sumStat type="mean">70.062</sumStat>
  <sumStat type="stdev">25.516</sumStat>
  <notes>Units: %</notes>
</var>
<var ID="V14" name="region" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location StartPos="96" EndPos="121" width="26" RecSegNo="1"/>
  <labl>Region</labl>
  <sumStat type="vald">1026</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>East Asia &amp; Pacific</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Europe &amp; Central Asia</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>High income</catValu>
  </catgry>
  <catgry>
    <catValu>Latin America &amp; Caribbean</catValu>
  </catgry>
  <catgry>
    <catValu>Middle East &amp; North Africa</catValu>
  </catgry>
  <catgry>
    <catValu>South Asia</catValu>
  </catgry>
  <catgry>
    <catValu>Sub-Saharan Africa</catValu>
  </catgry>
</var>
<var ID="V15" name="country" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location StartPos="1" EndPos="26" width="26" RecSegNo="1"/>
  <labl>Country</labl>
  <sumStat type="vald">4788</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Albania</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Australia</catValu>
  </catgry>
  <catgry>
    <catValu>Austria</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Barbados</catValu>
  </catgry>
  <catgry>
    <catValu>Belgium</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Bolivia</catValu>
  </catgry>
  <catgry>
    <catValu>Botswana</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Bulgaria</catValu>
  </catgry>
  <catgry>
    <catValu>Burkina Faso</catValu>
  </catgry>
  <catgry>
    <catValu>Burundi</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Canada</catValu>
  </catgry>
  <catgry>
    <catValu>Cape Verde</catValu>
  </catgry>
  <catgry>
    <catValu>Chad</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Czech Republic</catValu>
  </catgry>
  <catgry>
    <catValu>Denmark</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Ethiopia</catValu>
  </catgry>
  <catgry>
    <catValu>Finland</catValu>
  </catgry>
  <catgry>
    <catValu>France</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Greece</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>Hong Kong</catValu>
  </catgry>
  <catgry>
    <catValu>Hungary</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran (Islamic Republic of)</catValu>
  </catgry>
  <catgry>
    <catValu>Ireland</catValu>
  </catgry>
  <catgry>
    <catValu>Israel</catValu>
  </catgry>
  <catgry>
    <catValu>Italy</catValu>
  </catgry>
  <catgry>
    <catValu>Jamaica</catValu>
  </catgry>
  <catgry>
    <catValu>Japan</catValu>
  </catgry>
  <catgry>
    <catValu>Jordan</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Laos</catValu>
  </catgry>
  <catgry>
    <catValu>Lesotho</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malawi</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mali</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritius</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Mongolia</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nepal</catValu>
  </catgry>
  <catgry>
    <catValu>Netherlands</catValu>
  </catgry>
  <catgry>
    <catValu>New Zealand</catValu>
  </catgry>
  <catgry>
    <catValu>Niger</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Norway</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>Paraguay</catValu>
  </catgry>
  <catgry>
    <catValu>Peru</catValu>
  </catgry>
  <catgry>
    <catValu>Philippines</catValu>
  </catgry>
  <catgry>
    <catValu>Poland</catValu>
  </catgry>
  <catgry>
    <catValu>Portugal</catValu>
  </catgry>
  <catgry>
    <catValu>Romania</catValu>
  </catgry>
  <catgry>
    <catValu>Rwanda</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Singapore</catValu>
  </catgry>
  <catgry>
    <catValu>South Africa</catValu>
  </catgry>
  <catgry>
    <catValu>Spain</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>Sudan</catValu>
  </catgry>
  <catgry>
    <catValu>Swaziland</catValu>
  </catgry>
  <catgry>
    <catValu>Sweden</catValu>
  </catgry>
  <catgry>
    <catValu>Switzerland</catValu>
  </catgry>
  <catgry>
    <catValu>Syria</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Trinidad and Tobago</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>Turkey</catValu>
  </catgry>
  <catgry>
    <catValu>Uganda</catValu>
  </catgry>
  <catgry>
    <catValu>United Kingdom</catValu>
  </catgry>
  <catgry>
    <catValu>United States of America</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <catgry>
    <catValu>Zambia</catValu>
  </catgry>
  <catgry>
    <catValu>Zimbabwe</catValu>
  </catgry>
</var>
<var ID="V16" name="incomegroup" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location StartPos="27" EndPos="32" width="6" RecSegNo="1"/>
  <labl>Income Group</labl>
  <sumStat type="vald">4788</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>High</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Low</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Medium</catValu>
  </catgry>
</var>
<var ID="V17" name="year" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location StartPos="33" EndPos="36" width="4" RecSegNo="1"/>
  <labl>Year</labl>
  <sumStat type="vald">4788</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1980</sumStat>
  <sumStat type="max">2000</sumStat>
  <catgry>
    <catValu>1980</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
  </catgry>
</var>
<var ID="V18" name="mobileuser" files="F2" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="37" EndPos="41" width="5" RecSegNo="1"/>
  <labl>Mobile user per 1000 hab.</labl>
  <sumStat type="vald">3422</sumStat>
  <sumStat type="invd">1366</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">45478</sumStat>
  <sumStat type="mean">4148.39</sumStat>
  <sumStat type="stdev">8252.808</sumStat>
</var>
</dataDscr></codeBook>
