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  <citation>
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      <IDNo>DDI_WLD_2000_MBDG_v02_M</IDNo>
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      <producer></producer>
      <prodDate date="2010-09-14">2010-09-14</prodDate>
      <software version="v5">NADA</software>
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      <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>
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<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>
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      <copyright/>
      <software version="5.0" date="2022-06-14">NADA</software>
      <grantNo/>
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      <contact affiliation="World Bank" URI="http://go.worldbank.org/B9W4QTDHR0" email="research@worldbank.org">Development Research Group</contact>
      <depDate date=""/>
      <distDate date=""/>
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    <serStmt>
      <serName>Macroeconomics - Indicators</serName>
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      <notes><![CDATA[]]></notes>
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    <abstract><![CDATA[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>
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      <nation abbr="ARE">United Arab Emirates</nation>
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    <notes><![CDATA[The dataset includes indicators related to:
- Migration stock
- Migration rate
- Native labor force
- Resident labor force]]></notes>
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      <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:

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>
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  </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>
</var>
<var ID="V2" name="destination" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location StartPos="33" EndPos="36" width="4" RecSegNo="1"/>
  <labl>Country of destination</labl>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Oecd</catValu>
    <catStat type="vald"/>
  </catgry>
</var>
<var ID="V3" name="year" files="F1" intrvl="discrete">
  <varFormat type="numeric"/>
  <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
  <labl>Census year</labl>
  <sumStat type="vald">390</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1990</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <catStat type="invd"/>
  </catgry>
</var>
<var ID="V4" name="ms_all_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="41" EndPos="56" width="16" RecSegNo="1"/>
  <labl>Total migration stock 25+</labl>
  <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>
</var>
<var ID="V5" name="ms_mal_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="57" EndPos="72" width="16" RecSegNo="1"/>
  <labl>Males' migration stock - All education groups</labl>
  <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>
</var>
<var ID="V6" name="ms_mal_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="73" EndPos="88" width="16" RecSegNo="1"/>
  <labl>Males' migration stock - Low skilled</labl>
  <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>
</var>
<var ID="V7" name="ms_mal_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="89" EndPos="104" width="16" RecSegNo="1"/>
  <labl>Males' migration stock - Medium skilled</labl>
  <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>
</var>
<var ID="V8" name="ms_mal_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="105" EndPos="120" width="16" RecSegNo="1"/>
  <labl>Males' migration stock - High skilled</labl>
  <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>
</var>
<var ID="V9" name="ms_fem_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="121" EndPos="136" width="16" RecSegNo="1"/>
  <labl>Females' migration stock - All education groups</labl>
  <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>
</var>
<var ID="V10" name="ms_fem_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="137" EndPos="152" width="16" RecSegNo="1"/>
  <labl>Females' migration stock - Low skilled</labl>
  <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>
</var>
<var ID="V11" name="ms_fem_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="153" EndPos="168" width="16" RecSegNo="1"/>
  <labl>Females' migration stock - Medium skilled</labl>
  <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>
</var>
<var ID="V12" name="ms_fem_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="169" EndPos="184" width="16" RecSegNo="1"/>
  <labl>Females' migration stock - High skilled</labl>
  <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>
</var>
<var ID="V13" name="mr_all_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="185" EndPos="204" width="20" RecSegNo="1"/>
  <labl>Total migration rate 25+</labl>
  <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>
</var>
<var ID="V14" name="mr_mal_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="205" EndPos="223" width="19" RecSegNo="1"/>
  <labl>Males' migration rate - All education groups</labl>
  <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>
</var>
<var ID="V15" name="mr_mal_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="224" EndPos="243" width="20" RecSegNo="1"/>
  <labl>Males' migration rate - Low skilled</labl>
  <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>
</var>
<var ID="V16" name="mr_mal_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="244" EndPos="263" width="20" RecSegNo="1"/>
  <labl>Males' migration rate - Medium skilled</labl>
  <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>
</var>
<var ID="V17" name="mr_mal_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="264" EndPos="282" width="19" RecSegNo="1"/>
  <labl>Males' migration rate - High skilled</labl>
  <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>
</var>
<var ID="V18" name="mr_fem_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="283" EndPos="302" width="20" RecSegNo="1"/>
  <labl>Females' migration rate - All education groups</labl>
  <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>
</var>
<var ID="V19" name="mr_fem_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="303" EndPos="322" width="20" RecSegNo="1"/>
  <labl>Females' migration rate - Low skilled</labl>
  <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>
</var>
<var ID="V20" name="mr_fem_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="323" EndPos="342" width="20" RecSegNo="1"/>
  <labl>Females' migration rate - Medium skilled</labl>
  <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>
</var>
<var ID="V21" name="mr_fem_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="343" EndPos="361" width="19" RecSegNo="1"/>
  <labl>Females' migration rate - High skilled</labl>
  <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>
</var>
<var ID="V22" name="ns_all_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="362" EndPos="377" width="16" RecSegNo="1"/>
  <labl>Total native labor force 25+</labl>
  <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>
</var>
<var ID="V23" name="ns_mal_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="378" EndPos="393" width="16" RecSegNo="1"/>
  <labl>Males' native labor force - All education groups</labl>
  <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>
</var>
<var ID="V24" name="ns_mal_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="394" EndPos="409" width="16" RecSegNo="1"/>
  <labl>Males' native labor force - Low skilled</labl>
  <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>
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<var ID="V25" name="ns_mal_med" files="F1" intrvl="contin">
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  <location StartPos="410" EndPos="425" width="16" RecSegNo="1"/>
  <labl>Males' native labor force - Medium skilled</labl>
  <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>
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<var ID="V26" name="ns_mal_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="426" EndPos="441" width="16" RecSegNo="1"/>
  <labl>Males' native labor force - High skilled</labl>
  <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>
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<var ID="V27" name="ns_fem_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="442" EndPos="457" width="16" RecSegNo="1"/>
  <labl>Females' native labor force - All education groups</labl>
  <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>
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<var ID="V28" name="ns_fem_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="458" EndPos="473" width="16" RecSegNo="1"/>
  <labl>Females' native labor force - Low skilled</labl>
  <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>
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<var ID="V29" name="ns_fem_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="474" EndPos="489" width="16" RecSegNo="1"/>
  <labl>Females' native labor force - Medium skilled</labl>
  <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>
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<var ID="V30" name="ns_fem_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="490" EndPos="505" width="16" RecSegNo="1"/>
  <labl>Females' native labor force - High skilled</labl>
  <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>
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<var ID="V31" name="rs_all_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="506" EndPos="514" width="9" RecSegNo="1"/>
  <labl>Total resident labor force 25+</labl>
  <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>
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<var ID="V32" name="rs_mal_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="515" EndPos="523" width="9" RecSegNo="1"/>
  <labl>Males' resident labor force - All education groups</labl>
  <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>
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<var ID="V33" name="rs_mal_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="524" EndPos="539" width="16" RecSegNo="1"/>
  <labl>Males' resident labor force - Low skilled</labl>
  <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>
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<var ID="V34" name="rs_mal_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="540" EndPos="555" width="16" RecSegNo="1"/>
  <labl>Males' resident labor force - Medium skilled</labl>
  <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>
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<var ID="V35" name="rs_mal_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="556" EndPos="571" width="16" RecSegNo="1"/>
  <labl>Males' resident labor force - High skilled</labl>
  <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>
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<var ID="V36" name="rs_fem_tot" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="572" EndPos="580" width="9" RecSegNo="1"/>
  <labl>Females' resident labor force - All education groups</labl>
  <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>
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<var ID="V37" name="rs_fem_low" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="581" EndPos="596" width="16" RecSegNo="1"/>
  <labl>Females' resident labor force - Low skilled</labl>
  <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>
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<var ID="V38" name="rs_fem_med" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="597" EndPos="612" width="16" RecSegNo="1"/>
  <labl>Females' resident labor force - Medium skilled</labl>
  <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>
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<var ID="V39" name="rs_fem_hig" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location StartPos="613" EndPos="628" width="16" RecSegNo="1"/>
  <labl>Females' resident labor force - High skilled</labl>
  <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>
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</dataDscr></codeBook>
