<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="WLD_2000_MBDG_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_MBDG_v02_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer></producer>
      <prodDate date="2010-09-14">2010-09-14</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>DDI Document  - Version 02 - (04/21/21)
 This version is identical to DDI_WLD_2000_MBDG_v01_M but country field has been updated to capture all the countries covered by survey.

 Version 01 (September 2010)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Measuring Brain Drain by Gender 1990-2000</titl>
      <subTitl/>
      <altTitl>MBDG 2000</altTitl>
      <parTitl/>
      <IDNo>WLD_2000_MBDG_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Frédéric Docquier and B. Lindsay Lowell</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2022-06-15">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/>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>This dataset, a product of the Trade Team - Development Research Group, is part of a larger effort in the group to measure the extent of the brain drain as part of the International Migration and Development Program. It measures international skilled migration by gender.
The methodology is explained in: A gendered assessment of the brain drain, F. Docquier, L. Lowell, and A. Marfouk, Policy Research Discussion Paper (forthcoming), World Bank. 2007.

This data set updates and extends the Docquier-Marfouk data set on international migration by educational attainment. The authors use new sources, homogenize definitions of what a migrant is, and compute gender-disaggregated indicators of the brain drain. Emigration stocks and rates are provided by level of schooling and gender for 195 source countries in 1990 and 2000. This data set can be used to capture the recent trend in women’s skilled migration and to analyze its causes and consequences for developing countries.</abstract>
    <sumDscr>
      <timePrd date="1990" event="start" cycle=""/>
      <timePrd date="2000" event="end" cycle=""/>
      <collDate date="1990" event="start" cycle=""/>
      <collDate date="2000" event="end" cycle=""/>
      <nation abbr="AFG">Afghanistan</nation>
      <nation abbr="AGO">Angola</nation>
      <nation abbr="ALB">Albania</nation>
      <nation abbr="AND">Andorra</nation>
      <nation abbr="ARE">United Arab Emirates</nation>
      <nation abbr="ARG">Argentina</nation>
      <nation abbr="ARM">Armenia</nation>
      <nation abbr="ATG">Antigua and Barbuda</nation>
      <nation abbr="AUS">Australia</nation>
      <nation abbr="AUT">Austria</nation>
      <nation abbr="AZE">Azerbaijan</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="BHR">Bahrain</nation>
      <nation abbr="BHS">Bahamas, The</nation>
      <nation abbr="BIH">Bosnia and Herzegovina</nation>
      <nation abbr="BOL">Bolivia</nation>
      <nation abbr="BRA">Brazil</nation>
      <nation abbr="BRB">Barbados</nation>
      <nation abbr="BTN">Bhutan</nation>
      <nation abbr="BWA">Botswana</nation>
      <nation abbr="CAF">Central African Republic</nation>
      <nation abbr="CAN">Canada</nation>
      <nation abbr="CHE">Switzerland</nation>
      <nation abbr="CHL">Chile</nation>
      <nation abbr="CHN">China</nation>
      <nation abbr="CHN">China</nation>
      <nation abbr="CHN">China</nation>
      <nation abbr="CMR">Cameroon</nation>
      <nation abbr="COG">Congo, Rep.</nation>
      <nation abbr="COG">Congo, Rep.</nation>
      <nation abbr="COL">Colombia</nation>
      <nation abbr="COM">Comoros</nation>
      <nation abbr="CPV">Cabo Verde</nation>
      <nation abbr="CRI">Costa Rica</nation>
      <nation abbr="CUB">Cuba</nation>
      <nation abbr="CYP">Cyprus</nation>
      <nation abbr="CZE">Czech Republic</nation>
      <nation abbr="DEU">Germany</nation>
      <nation abbr="DJI">Djibouti</nation>
      <nation abbr="DMA">Dominica</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="EST">Estonia</nation>
      <nation abbr="ETH">Ethiopia</nation>
      <nation abbr="FIN">Finland</nation>
      <nation abbr="FJI">Fiji</nation>
      <nation abbr="FRA">France</nation>
      <nation abbr="FSM">Micronesia, Fed. Sts.</nation>
      <nation abbr="GAB">Gabon</nation>
      <nation abbr="GBR">United Kingdom</nation>
      <nation abbr="GEO">Georgia</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="GNQ">Equatorial Guinea</nation>
      <nation abbr="GRC">Greece</nation>
      <nation abbr="GRD">Grenada</nation>
      <nation abbr="GTM">Guatemala</nation>
      <nation abbr="GUY">Guyana</nation>
      <nation abbr="HND">Honduras</nation>
      <nation abbr="HRV">Croatia</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="IRQ">Iraq</nation>
      <nation abbr="ISL">Iceland</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="KAZ">Kazakhstan</nation>
      <nation abbr="KEN">Kenya</nation>
      <nation abbr="KGZ">Kyrgyz Republic</nation>
      <nation abbr="KHM">Cambodia</nation>
      <nation abbr="KIR">Kiribati</nation>
      <nation abbr="KNA">St. Kitts and Nevis</nation>
      <nation abbr="KWT">Kuwait</nation>
      <nation abbr="LAO">Lao PDR</nation>
      <nation abbr="LBN">Lebanon</nation>
      <nation abbr="LBR">Liberia</nation>
      <nation abbr="LBY">Libya</nation>
      <nation abbr="LCA">St. Lucia</nation>
      <nation abbr="LIE">Liechtenstein</nation>
      <nation abbr="LKA">Sri Lanka</nation>
      <nation abbr="LSO">Lesotho</nation>
      <nation abbr="LTU">Lithuania</nation>
      <nation abbr="LUX">Luxembourg</nation>
      <nation abbr="LVA">Latvia</nation>
      <nation abbr="MAR">Morocco</nation>
      <nation abbr="MCO">Monaco</nation>
      <nation abbr="MDA">Moldova</nation>
      <nation abbr="MDG">Madagascar</nation>
      <nation abbr="MDV">Maldives</nation>
      <nation abbr="MEX">Mexico</nation>
      <nation abbr="MHL">Marshall Islands</nation>
      <nation abbr="MKD">North Macedonia</nation>
      <nation abbr="MLI">Mali</nation>
      <nation abbr="MLT">Malta</nation>
      <nation abbr="MMR">Myanmar</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="NIC">Nicaragua</nation>
      <nation abbr="NLD">Netherlands</nation>
      <nation abbr="NOR">Norway</nation>
      <nation abbr="NPL">Nepal</nation>
      <nation abbr="NRU">Nauru</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="PLW">Palau</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="QAT">Qatar</nation>
      <nation abbr="ROU">Romania</nation>
      <nation abbr="RUS">Russian Federation</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="SLB">Solomon Islands</nation>
      <nation abbr="SLE">Sierra Leone</nation>
      <nation abbr="SLV">El Salvador</nation>
      <nation abbr="SMR">San Marino</nation>
      <nation abbr="SOM">Somalia</nation>
      <nation abbr="STP">Sao Tome and Principe</nation>
      <nation abbr="SUR">Suriname</nation>
      <nation abbr="SVK">Slovak Republic</nation>
      <nation abbr="SVN">Slovenia</nation>
      <nation abbr="SWE">Sweden</nation>
      <nation abbr="SWZ">Eswatini</nation>
      <nation abbr="SYC">Seychelles</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="TJK">Tajikistan</nation>
      <nation abbr="TKM">Turkmenistan</nation>
      <nation abbr="TLS">Timor-Leste</nation>
      <nation abbr="TON">Tonga</nation>
      <nation abbr="TTO">Trinidad and Tobago</nation>
      <nation abbr="TUN">Tunisia</nation>
      <nation abbr="TUR">Turkiye</nation>
      <nation abbr="TUV">Tuvalu</nation>
      <nation abbr="TWN">Taiwan, China</nation>
      <nation abbr="TZA">Tanzania</nation>
      <nation abbr="UGA">Uganda</nation>
      <nation abbr="UKR">Ukraine</nation>
      <nation abbr="URY">Uruguay</nation>
      <nation abbr="USA">United States</nation>
      <nation abbr="UZB">Uzbekistan</nation>
      <nation abbr="VEN">Venezuela, RB</nation>
      <nation abbr="VNM">Vietnam</nation>
      <nation abbr="VUT">Vanuatu</nation>
      <nation abbr="WBG">West Bank and Gaza</nation>
      <nation abbr="WSM">Samoa</nation>
      <nation abbr="YEM">Yemen, Rep.</nation>
      <nation abbr="ZAF">South Africa</nation>
      <nation abbr="ZMB">Zambia</nation>
      <nation abbr="SCG">Serbia and Montenegro</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 dataset includes indicators related to:
- Migration stock
- Migration rate
- Native labor force
- Resident labor force</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/>
    </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:

Frédéric Docquier et al. Measuring Brain Drain by Gender (MBDG) 1990-2000. Ref. WLD_2000_MBDG_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>Datasetbygender_Aggregates_Stata</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>390</caseQnty>
      <varQnty>39</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="V1" name="origin" files="F1" intrvl="discrete">
  <labl>Country of origin</labl>
  <imputation>Country of origin</imputation>
  <security>Country of origin</security>
  <embargo>Country of origin</embargo>
  <respUnit>Country of origin</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Afghanistan</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Albania</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Algeria</catValu>
  </catgry>
  <catgry>
    <catValu>Andorra</catValu>
  </catgry>
  <catgry>
    <catValu>Angola</catValu>
  </catgry>
  <catgry>
    <catValu>Antigua and Barbuda</catValu>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Armenia</catValu>
  </catgry>
  <catgry>
    <catValu>Australia</catValu>
  </catgry>
  <catgry>
    <catValu>Austria</catValu>
  </catgry>
  <catgry>
    <catValu>Azerbaijan</catValu>
  </catgry>
  <catgry>
    <catValu>Bahamas, The</catValu>
  </catgry>
  <catgry>
    <catValu>Bahrain</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Barbados</catValu>
  </catgry>
  <catgry>
    <catValu>Belarus</catValu>
  </catgry>
  <catgry>
    <catValu>Belgium</catValu>
  </catgry>
  <catgry>
    <catValu>Belize</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Bhutan</catValu>
  </catgry>
  <catgry>
    <catValu>Bolivia</catValu>
  </catgry>
  <catgry>
    <catValu>Bosnia and Herzegovina</catValu>
  </catgry>
  <catgry>
    <catValu>Botswana</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Brunei</catValu>
  </catgry>
  <catgry>
    <catValu>Bulgaria</catValu>
  </catgry>
  <catgry>
    <catValu>Burkina Faso</catValu>
  </catgry>
  <catgry>
    <catValu>Burma (Myanmar)</catValu>
  </catgry>
  <catgry>
    <catValu>Burundi</catValu>
  </catgry>
  <catgry>
    <catValu>Cambodia</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Canada</catValu>
  </catgry>
  <catgry>
    <catValu>Cape Verde</catValu>
  </catgry>
  <catgry>
    <catValu>Central African Republic</catValu>
  </catgry>
  <catgry>
    <catValu>Chad</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>China</catValu>
  </catgry>
  <catgry>
    <catValu>China, Hong Kong SAR</catValu>
  </catgry>
  <catgry>
    <catValu>China, Macao SAR</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Comoros</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Dem. Rep. of the</catValu>
  </catgry>
  <catgry>
    <catValu>Congo, Rep. of the</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cote d'Ivoire</catValu>
  </catgry>
  <catgry>
    <catValu>Croatia</catValu>
  </catgry>
  <catgry>
    <catValu>Cuba</catValu>
  </catgry>
  <catgry>
    <catValu>Cyprus</catValu>
  </catgry>
  <catgry>
    <catValu>Czech Republic</catValu>
  </catgry>
  <catgry>
    <catValu>Denmark</catValu>
  </catgry>
  <catgry>
    <catValu>Djibouti</catValu>
  </catgry>
  <catgry>
    <catValu>Dominica</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Republic</catValu>
  </catgry>
  <catgry>
    <catValu>East Timor</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>Estonia</catValu>
  </catgry>
  <catgry>
    <catValu>Ethiopia</catValu>
  </catgry>
  <catgry>
    <catValu>Fiji</catValu>
  </catgry>
  <catgry>
    <catValu>Finland</catValu>
  </catgry>
  <catgry>
    <catValu>France</catValu>
  </catgry>
  <catgry>
    <catValu>Gabon</catValu>
  </catgry>
  <catgry>
    <catValu>Gambia, The</catValu>
  </catgry>
  <catgry>
    <catValu>Georgia</catValu>
  </catgry>
  <catgry>
    <catValu>Germany</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Greece</catValu>
  </catgry>
  <catgry>
    <catValu>Grenada</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>Holy See (Vatican City)</catValu>
  </catgry>
  <catgry>
    <catValu>Honduras</catValu>
  </catgry>
  <catgry>
    <catValu>Hungary</catValu>
  </catgry>
  <catgry>
    <catValu>Iceland</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran</catValu>
  </catgry>
  <catgry>
    <catValu>Iraq</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>Kazakhstan</catValu>
  </catgry>
  <catgry>
    <catValu>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Kiribati</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Kyrgyzstan</catValu>
  </catgry>
  <catgry>
    <catValu>Laos</catValu>
  </catgry>
  <catgry>
    <catValu>Latvia</catValu>
  </catgry>
  <catgry>
    <catValu>Lebanon</catValu>
  </catgry>
  <catgry>
    <catValu>Lesotho</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Libya</catValu>
  </catgry>
  <catgry>
    <catValu>Liechtenstein</catValu>
  </catgry>
  <catgry>
    <catValu>Lithuania</catValu>
  </catgry>
  <catgry>
    <catValu>Luxembourg</catValu>
  </catgry>
  <catgry>
    <catValu>Macedonia</catValu>
  </catgry>
  <catgry>
    <catValu>Madagascar</catValu>
  </catgry>
  <catgry>
    <catValu>Malawi</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Maldives</catValu>
  </catgry>
  <catgry>
    <catValu>Mali</catValu>
  </catgry>
  <catgry>
    <catValu>Malta</catValu>
  </catgry>
  <catgry>
    <catValu>Marshall Islands</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritania</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritius</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Micronesia, Federated States of</catValu>
  </catgry>
  <catgry>
    <catValu>Moldova</catValu>
  </catgry>
  <catgry>
    <catValu>Monaco</catValu>
  </catgry>
  <catgry>
    <catValu>Mongolia</catValu>
  </catgry>
  <catgry>
    <catValu>Morocco</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Namibia</catValu>
  </catgry>
  <catgry>
    <catValu>Nauru</catValu>
  </catgry>
  <catgry>
    <catValu>Nepal</catValu>
  </catgry>
  <catgry>
    <catValu>Netherlands</catValu>
  </catgry>
  <catgry>
    <catValu>New Zealand</catValu>
  </catgry>
  <catgry>
    <catValu>Nicaragua</catValu>
  </catgry>
  <catgry>
    <catValu>Niger</catValu>
  </catgry>
  <catgry>
    <catValu>Nigeria</catValu>
  </catgry>
  <catgry>
    <catValu>Norway</catValu>
  </catgry>
  <catgry>
    <catValu>Occupied Palestinian Territory</catValu>
  </catgry>
  <catgry>
    <catValu>Oman</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Palau</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>Qatar</catValu>
  </catgry>
  <catgry>
    <catValu>Romania</catValu>
  </catgry>
  <catgry>
    <catValu>Russia</catValu>
  </catgry>
  <catgry>
    <catValu>Rwanda</catValu>
  </catgry>
  <catgry>
    <catValu>Saint Kitts and Nevis</catValu>
  </catgry>
  <catgry>
    <catValu>Saint Lucia</catValu>
  </catgry>
  <catgry>
    <catValu>Saint Vincent and the Grenadines</catValu>
  </catgry>
  <catgry>
    <catValu>Samoa</catValu>
  </catgry>
  <catgry>
    <catValu>San Marino</catValu>
  </catgry>
  <catgry>
    <catValu>Sao Tome and Principe</catValu>
  </catgry>
  <catgry>
    <catValu>Saudi Arabia</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Serbia and Montenegro</catValu>
  </catgry>
  <catgry>
    <catValu>Seychelles</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Singapore</catValu>
  </catgry>
  <catgry>
    <catValu>Slovakia</catValu>
  </catgry>
  <catgry>
    <catValu>Slovenia</catValu>
  </catgry>
  <catgry>
    <catValu>Solomon Islands</catValu>
  </catgry>
  <catgry>
    <catValu>Somalia</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>Suriname</catValu>
  </catgry>
  <catgry>
    <catValu>Swaziland</catValu>
  </catgry>
  <catgry>
    <catValu>Sweden</catValu>
  </catgry>
  <catgry>
    <catValu>Switzerland</catValu>
  </catgry>
  <catgry>
    <catValu>Syria</catValu>
  </catgry>
  <catgry>
    <catValu>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tajikistan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Tonga</catValu>
  </catgry>
  <catgry>
    <catValu>Trinidad and Tobago</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>Turkey</catValu>
  </catgry>
  <catgry>
    <catValu>Turkmenistan</catValu>
  </catgry>
  <catgry>
    <catValu>Tuvalu</catValu>
  </catgry>
  <catgry>
    <catValu>Uganda</catValu>
  </catgry>
  <catgry>
    <catValu>Ukraine</catValu>
  </catgry>
  <catgry>
    <catValu>United Arab Emirates</catValu>
  </catgry>
  <catgry>
    <catValu>United Kingdom</catValu>
  </catgry>
  <catgry>
    <catValu>United States</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Uzbekistan</catValu>
  </catgry>
  <catgry>
    <catValu>Vanuatu</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Vietnam</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen</catValu>
  </catgry>
  <catgry>
    <catValu>Zambia</catValu>
  </catgry>
  <catgry>
    <catValu>Zimbabwe</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V2" name="destination" files="F1" intrvl="discrete">
  <labl>Country of destination</labl>
  <imputation>Country of destination</imputation>
  <security>Country of destination</security>
  <embargo>Country of destination</embargo>
  <respUnit>Country of destination</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Oecd</catValu>
    <catStat type="vald"/>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V3" name="year" files="F1" intrvl="discrete">
  <labl>Census year</labl>
  <imputation>Census year</imputation>
  <security>Census year</security>
  <embargo>Census year</embargo>
  <respUnit>Census year</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1990</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <catStat type="invd"/>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V4" name="ms_all_tot" files="F1" intrvl="contin">
  <labl>Total migration stock 25+</labl>
  <imputation>Total migration stock 25+</imputation>
  <security>Total migration stock 25+</security>
  <embargo>Total migration stock 25+</embargo>
  <respUnit>Total migration stock 25+</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">57.612</sumStat>
  <sumStat type="max">6434391.169</sumStat>
  <sumStat type="mean">250066.014</sumStat>
  <sumStat type="stdev">537354.094</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V5" name="ms_mal_tot" files="F1" intrvl="contin">
  <labl>Males' migration stock - All education groups</labl>
  <imputation>Males' migration stock - All education groups</imputation>
  <security>Males' migration stock - All education groups</security>
  <embargo>Males' migration stock - All education groups</embargo>
  <respUnit>Males' migration stock - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">23.478</sumStat>
  <sumStat type="max">3518573.404</sumStat>
  <sumStat type="mean">123161.231</sumStat>
  <sumStat type="stdev">274976.869</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V6" name="ms_mal_low" files="F1" intrvl="contin">
  <labl>Males' migration stock - Low skilled</labl>
  <imputation>Males' migration stock - Low skilled</imputation>
  <security>Males' migration stock - Low skilled</security>
  <embargo>Males' migration stock - Low skilled</embargo>
  <respUnit>Males' migration stock - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">5.589</sumStat>
  <sumStat type="max">2468075.12</sumStat>
  <sumStat type="mean">54886.246</sumStat>
  <sumStat type="stdev">168665.152</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V7" name="ms_mal_med" files="F1" intrvl="contin">
  <labl>Males' migration stock - Medium skilled</labl>
  <imputation>Males' migration stock - Medium skilled</imputation>
  <security>Males' migration stock - Medium skilled</security>
  <embargo>Males' migration stock - Medium skilled</embargo>
  <respUnit>Males' migration stock - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">4.935</sumStat>
  <sumStat type="max">549174.628</sumStat>
  <sumStat type="mean">25207.766</sumStat>
  <sumStat type="stdev">52802.98</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V8" name="ms_mal_hig" files="F1" intrvl="contin">
  <labl>Males' migration stock - High skilled</labl>
  <imputation>Males' migration stock - High skilled</imputation>
  <security>Males' migration stock - High skilled</security>
  <embargo>Males' migration stock - High skilled</embargo>
  <respUnit>Males' migration stock - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">10.736</sumStat>
  <sumStat type="max">771923.343</sumStat>
  <sumStat type="mean">43067.219</sumStat>
  <sumStat type="stdev">87064.012</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V9" name="ms_fem_tot" files="F1" intrvl="contin">
  <labl>Females' migration stock - All education groups</labl>
  <imputation>Females' migration stock - All education groups</imputation>
  <security>Females' migration stock - All education groups</security>
  <embargo>Females' migration stock - All education groups</embargo>
  <respUnit>Females' migration stock - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">34.134</sumStat>
  <sumStat type="max">2915817.764</sumStat>
  <sumStat type="mean">126904.782</sumStat>
  <sumStat type="stdev">265697.901</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V10" name="ms_fem_low" files="F1" intrvl="contin">
  <labl>Females' migration stock - Low skilled</labl>
  <imputation>Females' migration stock - Low skilled</imputation>
  <security>Females' migration stock - Low skilled</security>
  <embargo>Females' migration stock - Low skilled</embargo>
  <respUnit>Females' migration stock - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">7.14</sumStat>
  <sumStat type="max">2003807.948</sumStat>
  <sumStat type="mean">57859.108</sumStat>
  <sumStat type="stdev">150155.281</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V11" name="ms_fem_med" files="F1" intrvl="contin">
  <labl>Females' migration stock - Medium skilled</labl>
  <imputation>Females' migration stock - Medium skilled</imputation>
  <security>Females' migration stock - Medium skilled</security>
  <embargo>Females' migration stock - Medium skilled</embargo>
  <respUnit>Females' migration stock - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">12.274</sumStat>
  <sumStat type="max">544623.943</sumStat>
  <sumStat type="mean">28814.648</sumStat>
  <sumStat type="stdev">61540.705</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V12" name="ms_fem_hig" files="F1" intrvl="contin">
  <labl>Females' migration stock - High skilled</labl>
  <imputation>Females' migration stock - High skilled</imputation>
  <security>Females' migration stock - High skilled</security>
  <embargo>Females' migration stock - High skilled</embargo>
  <respUnit>Females' migration stock - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">9.739</sumStat>
  <sumStat type="max">706553.366</sumStat>
  <sumStat type="mean">40231.026</sumStat>
  <sumStat type="stdev">86153.435</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V13" name="mr_all_tot" files="F1" intrvl="contin">
  <labl>Total migration rate 25+</labl>
  <imputation>Total migration rate 25+</imputation>
  <security>Total migration rate 25+</security>
  <embargo>Total migration rate 25+</embargo>
  <respUnit>Total migration rate 25+</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.000231</sumStat>
  <sumStat type="max">0.536</sumStat>
  <sumStat type="mean">0.066</sumStat>
  <sumStat type="stdev">0.102</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V14" name="mr_mal_tot" files="F1" intrvl="contin">
  <labl>Males' migration rate - All education groups</labl>
  <imputation>Males' migration rate - All education groups</imputation>
  <security>Males' migration rate - All education groups</security>
  <embargo>Males' migration rate - All education groups</embargo>
  <respUnit>Males' migration rate - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.000296</sumStat>
  <sumStat type="max">0.496</sumStat>
  <sumStat type="mean">0.065</sumStat>
  <sumStat type="stdev">0.0989</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V15" name="mr_mal_low" files="F1" intrvl="contin">
  <labl>Males' migration rate - Low skilled</labl>
  <imputation>Males' migration rate - Low skilled</imputation>
  <security>Males' migration rate - Low skilled</security>
  <embargo>Males' migration rate - Low skilled</embargo>
  <respUnit>Males' migration rate - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.000112</sumStat>
  <sumStat type="max">0.437</sumStat>
  <sumStat type="mean">0.0527</sumStat>
  <sumStat type="stdev">0.0827</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V16" name="mr_mal_med" files="F1" intrvl="contin">
  <labl>Males' migration rate - Medium skilled</labl>
  <imputation>Males' migration rate - Medium skilled</imputation>
  <security>Males' migration rate - Medium skilled</security>
  <embargo>Males' migration rate - Medium skilled</embargo>
  <respUnit>Males' migration rate - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.000127</sumStat>
  <sumStat type="max">0.661</sumStat>
  <sumStat type="mean">0.0628</sumStat>
  <sumStat type="stdev">0.105</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V17" name="mr_mal_hig" files="F1" intrvl="contin">
  <labl>Males' migration rate - High skilled</labl>
  <imputation>Males' migration rate - High skilled</imputation>
  <security>Males' migration rate - High skilled</security>
  <embargo>Males' migration rate - High skilled</embargo>
  <respUnit>Males' migration rate - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00106</sumStat>
  <sumStat type="max">0.889</sumStat>
  <sumStat type="mean">0.194</sumStat>
  <sumStat type="stdev">0.219</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V18" name="mr_fem_tot" files="F1" intrvl="contin">
  <labl>Females' migration rate - All education groups</labl>
  <imputation>Females' migration rate - All education groups</imputation>
  <security>Females' migration rate - All education groups</security>
  <embargo>Females' migration rate - All education groups</embargo>
  <respUnit>Females' migration rate - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.000166</sumStat>
  <sumStat type="max">0.568</sumStat>
  <sumStat type="mean">0.067</sumStat>
  <sumStat type="stdev">0.105</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V19" name="mr_fem_low" files="F1" intrvl="contin">
  <labl>Females' migration rate - Low skilled</labl>
  <imputation>Females' migration rate - Low skilled</imputation>
  <security>Females' migration rate - Low skilled</security>
  <embargo>Females' migration rate - Low skilled</embargo>
  <respUnit>Females' migration rate - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">6.02e-05</sumStat>
  <sumStat type="max">0.413</sumStat>
  <sumStat type="mean">0.0489</sumStat>
  <sumStat type="stdev">0.0803</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V20" name="mr_fem_med" files="F1" intrvl="contin">
  <labl>Females' migration rate - Medium skilled</labl>
  <imputation>Females' migration rate - Medium skilled</imputation>
  <security>Females' migration rate - Medium skilled</security>
  <embargo>Females' migration rate - Medium skilled</embargo>
  <respUnit>Females' migration rate - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.000335</sumStat>
  <sumStat type="max">0.744</sumStat>
  <sumStat type="mean">0.0798</sumStat>
  <sumStat type="stdev">0.117</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V21" name="mr_fem_hig" files="F1" intrvl="contin">
  <labl>Females' migration rate - High skilled</labl>
  <imputation>Females' migration rate - High skilled</imputation>
  <security>Females' migration rate - High skilled</security>
  <embargo>Females' migration rate - High skilled</embargo>
  <respUnit>Females' migration rate - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00186</sumStat>
  <sumStat type="max">0.958</sumStat>
  <sumStat type="mean">0.243</sumStat>
  <sumStat type="stdev">0.252</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V22" name="ns_all_tot" files="F1" intrvl="contin">
  <labl>Total native labor force 25+</labl>
  <imputation>Total native labor force 25+</imputation>
  <security>Total native labor force 25+</security>
  <embargo>Total native labor force 25+</embargo>
  <respUnit>Total native labor force 25+</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">950.612</sumStat>
  <sumStat type="max">761027004.827</sumStat>
  <sumStat type="mean">14964190.556</sumStat>
  <sumStat type="stdev">59881575.78</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V23" name="ns_mal_tot" files="F1" intrvl="contin">
  <labl>Males' native labor force - All education groups</labl>
  <imputation>Males' native labor force - All education groups</imputation>
  <security>Males' native labor force - All education groups</security>
  <embargo>Males' native labor force - All education groups</embargo>
  <respUnit>Males' native labor force - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">559.278</sumStat>
  <sumStat type="max">386718784.106</sumStat>
  <sumStat type="mean">7396040.168</sumStat>
  <sumStat type="stdev">30420948.98</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V24" name="ns_mal_low" files="F1" intrvl="contin">
  <labl>Males' native labor force - Low skilled</labl>
  <imputation>Males' native labor force - Low skilled</imputation>
  <security>Males' native labor force - Low skilled</security>
  <embargo>Males' native labor force - Low skilled</embargo>
  <respUnit>Males' native labor force - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">343.955</sumStat>
  <sumStat type="max">194392898.215</sumStat>
  <sumStat type="mean">3967661.178</sumStat>
  <sumStat type="stdev">17137336.883</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V25" name="ns_mal_med" files="F1" intrvl="contin">
  <labl>Males' native labor force - Medium skilled</labl>
  <imputation>Males' native labor force - Medium skilled</imputation>
  <security>Males' native labor force - Medium skilled</security>
  <embargo>Males' native labor force - Medium skilled</embargo>
  <respUnit>Males' native labor force - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">111.166</sumStat>
  <sumStat type="max">177269036.212</sumStat>
  <sumStat type="mean">2526178.061</sumStat>
  <sumStat type="stdev">12512519.74</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V26" name="ns_mal_hig" files="F1" intrvl="contin">
  <labl>Males' native labor force - High skilled</labl>
  <imputation>Males' native labor force - High skilled</imputation>
  <security>Males' native labor force - High skilled</security>
  <embargo>Males' native labor force - High skilled</embargo>
  <respUnit>Males' native labor force - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">50.139</sumStat>
  <sumStat type="max">45902062.951</sumStat>
  <sumStat type="mean">902200.929</sumStat>
  <sumStat type="stdev">3473806.379</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V27" name="ns_fem_tot" files="F1" intrvl="contin">
  <labl>Females' native labor force - All education groups</labl>
  <imputation>Females' native labor force - All education groups</imputation>
  <security>Females' native labor force - All education groups</security>
  <embargo>Females' native labor force - All education groups</embargo>
  <respUnit>Females' native labor force - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">391.334</sumStat>
  <sumStat type="max">374308220.722</sumStat>
  <sumStat type="mean">7568150.388</sumStat>
  <sumStat type="stdev">29477849.309</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V28" name="ns_fem_low" files="F1" intrvl="contin">
  <labl>Females' native labor force - Low skilled</labl>
  <imputation>Females' native labor force - Low skilled</imputation>
  <security>Females' native labor force - Low skilled</security>
  <embargo>Females' native labor force - Low skilled</embargo>
  <respUnit>Females' native labor force - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">249.794</sumStat>
  <sumStat type="max">274804617.752</sumStat>
  <sumStat type="mean">5021137.971</sumStat>
  <sumStat type="stdev">22491661.531</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V29" name="ns_fem_med" files="F1" intrvl="contin">
  <labl>Females' native labor force - Medium skilled</labl>
  <imputation>Females' native labor force - Medium skilled</imputation>
  <security>Females' native labor force - Medium skilled</security>
  <embargo>Females' native labor force - Medium skilled</embargo>
  <respUnit>Females' native labor force - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">71.148</sumStat>
  <sumStat type="max">93883808.586</sumStat>
  <sumStat type="mean">1861878.368</sumStat>
  <sumStat type="stdev">7215075.6</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V30" name="ns_fem_hig" files="F1" intrvl="contin">
  <labl>Females' native labor force - High skilled</labl>
  <imputation>Females' native labor force - High skilled</imputation>
  <security>Females' native labor force - High skilled</security>
  <embargo>Females' native labor force - High skilled</embargo>
  <respUnit>Females' native labor force - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">28.855</sumStat>
  <sumStat type="max">48785987.596</sumStat>
  <sumStat type="mean">685134.049</sumStat>
  <sumStat type="stdev">3088917.766</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V31" name="rs_all_tot" files="F1" intrvl="contin">
  <labl>Total resident labor force 25+</labl>
  <imputation>Total resident labor force 25+</imputation>
  <security>Total resident labor force 25+</security>
  <embargo>Total resident labor force 25+</embargo>
  <respUnit>Total resident labor force 25+</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">893</sumStat>
  <sumStat type="max">759351470</sumStat>
  <sumStat type="mean">14714124.543</sumStat>
  <sumStat type="stdev">59706850.607</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V32" name="rs_mal_tot" files="F1" intrvl="contin">
  <labl>Males' resident labor force - All education groups</labl>
  <imputation>Males' resident labor force - All education groups</imputation>
  <security>Males' resident labor force - All education groups</security>
  <embargo>Males' resident labor force - All education groups</embargo>
  <respUnit>Males' resident labor force - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">535.8</sumStat>
  <sumStat type="max">385931431</sumStat>
  <sumStat type="mean">7272878.937</sumStat>
  <sumStat type="stdev">30336632.068</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V33" name="rs_mal_low" files="F1" intrvl="contin">
  <labl>Males' resident labor force - Low skilled</labl>
  <imputation>Males' resident labor force - Low skilled</imputation>
  <security>Males' resident labor force - Low skilled</security>
  <embargo>Males' resident labor force - Low skilled</embargo>
  <respUnit>Males' resident labor force - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">336.595</sumStat>
  <sumStat type="max">194123509.793</sumStat>
  <sumStat type="mean">3912774.932</sumStat>
  <sumStat type="stdev">17108523.338</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V34" name="rs_mal_med" files="F1" intrvl="contin">
  <labl>Males' resident labor force - Medium skilled</labl>
  <imputation>Males' resident labor force - Medium skilled</imputation>
  <security>Males' resident labor force - Medium skilled</security>
  <embargo>Males' resident labor force - Medium skilled</embargo>
  <respUnit>Males' resident labor force - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">104.012</sumStat>
  <sumStat type="max">177142526.829</sumStat>
  <sumStat type="mean">2500970.295</sumStat>
  <sumStat type="stdev">12499894.575</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V35" name="rs_mal_hig" files="F1" intrvl="contin">
  <labl>Males' resident labor force - High skilled</labl>
  <imputation>Males' resident labor force - High skilled</imputation>
  <security>Males' resident labor force - High skilled</security>
  <embargo>Males' resident labor force - High skilled</embargo>
  <respUnit>Males' resident labor force - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">23.558</sumStat>
  <sumStat type="max">45699190.94</sumStat>
  <sumStat type="mean">859133.71</sumStat>
  <sumStat type="stdev">3434456.081</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V36" name="rs_fem_tot" files="F1" intrvl="contin">
  <labl>Females' resident labor force - All education groups</labl>
  <imputation>Females' resident labor force - All education groups</imputation>
  <security>Females' resident labor force - All education groups</security>
  <embargo>Females' resident labor force - All education groups</embargo>
  <respUnit>Females' resident labor force - All education groups</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">357.2</sumStat>
  <sumStat type="max">373420039</sumStat>
  <sumStat type="mean">7441245.606</sumStat>
  <sumStat type="stdev">29387104.102</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V37" name="rs_fem_low" files="F1" intrvl="contin">
  <labl>Females' resident labor force - Low skilled</labl>
  <imputation>Females' resident labor force - Low skilled</imputation>
  <security>Females' resident labor force - Low skilled</security>
  <embargo>Females' resident labor force - Low skilled</embargo>
  <respUnit>Females' resident labor force - Low skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">242.654</sumStat>
  <sumStat type="max">274463728.665</sumStat>
  <sumStat type="mean">4963278.863</sumStat>
  <sumStat type="stdev">22459858.08</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V38" name="rs_fem_med" files="F1" intrvl="contin">
  <labl>Females' resident labor force - Medium skilled</labl>
  <imputation>Females' resident labor force - Medium skilled</imputation>
  <security>Females' resident labor force - Medium skilled</security>
  <embargo>Females' resident labor force - Medium skilled</embargo>
  <respUnit>Females' resident labor force - Medium skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">58.874</sumStat>
  <sumStat type="max">93728429.789</sumStat>
  <sumStat type="mean">1833063.72</sumStat>
  <sumStat type="stdev">7192749.354</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V39" name="rs_fem_hig" files="F1" intrvl="contin">
  <labl>Females' resident labor force - High skilled</labl>
  <imputation>Females' resident labor force - High skilled</imputation>
  <security>Females' resident labor force - High skilled</security>
  <embargo>Females' resident labor force - High skilled</embargo>
  <respUnit>Females' resident labor force - High skilled</respUnit>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">5.426</sumStat>
  <sumStat type="max">48562756.891</sumStat>
  <sumStat type="mean">644903.023</sumStat>
  <sumStat type="stdev">3055484.124</sumStat>
  <varFormat type="numeric"/>
</var>
</dataDscr></codeBook>
