<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="WLD_1960-1985_EAD_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_1960-1985_EAD_v02_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer></producer>
      <prodDate date="2010-11-03">2010-11-03</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>DDI Document  - Version 02 - (04/27/21)
 This version is identical to DDI_WLD_1960-1985_EAD_v01_M but country field has been updated to capture all the countries covered by survey.

 Version 01 (November 2010)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Educational Attainment Data 1960-1985</titl>
      <subTitl/>
      <altTitl>EAD 1960-1985</altTitl>
      <parTitl/>
      <IDNo>WLD_1960-1985_EAD_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Robert J. Barro and Jong-Wha Lee</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2022-07-01">NADA</software>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="World Bank" URI="http://go.worldbank.org/B9W4QTDHR0" email="research@worldbank.org">Development Research Group</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName/>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date="1993">Dataset used for Barro, Robert J. and Jong-Wha Lee, "International Comaprisons of Educational Attainment", NBER Working Paper No. W4349, 1993.

The original dataset has two plain ASCII (text) files: SCHOOL1.RAW, which contains data on schooling of the total population, and SCHOOL2.RAW, which contains the same data for the male and female population. Each file has 664 records (lines) of data, of which each line represents one country in one year. All 108 countries have 6 lines of data (108 x 6 = 648) and the remaining seven countries have 18 records in total. The seven countries, which have incomplete time series data on schooling, are Seychelles (Summers-Heston code 35), Dominica (52), St. Lucia (63), St. Vincent (64), Solomon Islands (135), Vanuatu (137), and Western Samoa (138).</version>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>Many theories of economic growth stress the role of human capital in the form of education, but empirical studies have been hampered by inadequate data. The authors describe a data set on educational attainment for 120 countries over five- year periods from 1960 to 1985. Census and survey figures fill over 40% of the cells, and the remainder are estimated from school-enrollment data by a perpetual- inventory method. The data refer to male and female attainment of the adult population at four levels: no schooling, primary, secondary, and higher. They also provide a rough breakdown into incomplete and complete attainment at the three levels of schooling.</abstract>
    <sumDscr>
      <timePrd date="1960" event="start" cycle=""/>
      <timePrd date="1985" event="end" cycle=""/>
      <collDate date="1960" event="start" cycle=""/>
      <collDate date="1985" event="end" cycle=""/>
      <nation abbr="AFG">Afghanistan</nation>
      <nation abbr="ARE">United Arab Emirates</nation>
      <nation abbr="ARG">Argentina</nation>
      <nation abbr="AUS">Australia</nation>
      <nation abbr="AUT">Austria</nation>
      <nation abbr="BEL">Belgium</nation>
      <nation abbr="BEN">Benin</nation>
      <nation abbr="BHR">Bahrain</nation>
      <nation abbr="BOL">Bolivia</nation>
      <nation abbr="BRA">Brazil</nation>
      <nation abbr="BRB">Barbados</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="CMR">Cameroon</nation>
      <nation abbr="COD">Congo, Dem. Rep.</nation>
      <nation abbr="COG">Congo, Rep.</nation>
      <nation abbr="COL">Colombia</nation>
      <nation abbr="CRI">Costa Rica</nation>
      <nation abbr="CYP">Cyprus</nation>
      <nation abbr="DEU">Germany</nation>
      <nation abbr="DMA">Dominica</nation>
      <nation abbr="DNK">Denmark</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="FIN">Finland</nation>
      <nation abbr="FJI">Fiji</nation>
      <nation abbr="FRA">France</nation>
      <nation abbr="GBR">United Kingdom</nation>
      <nation abbr="GHA">Ghana</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="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="KEN">Kenya</nation>
      <nation abbr="KWT">Kuwait</nation>
      <nation abbr="LBR">Liberia</nation>
      <nation abbr="LKA">Sri Lanka</nation>
      <nation abbr="LSO">Lesotho</nation>
      <nation abbr="MEX">Mexico</nation>
      <nation abbr="MLI">Mali</nation>
      <nation abbr="MLT">Malta</nation>
      <nation abbr="MMR">Myanmar</nation>
      <nation abbr="MOZ">Mozambique</nation>
      <nation abbr="MUS">Mauritius</nation>
      <nation abbr="MWI">Malawi</nation>
      <nation abbr="MYS">Malaysia</nation>
      <nation abbr="NER">Niger</nation>
      <nation abbr="NIC">Nicaragua</nation>
      <nation abbr="NLD">Netherlands</nation>
      <nation abbr="NOR">Norway</nation>
      <nation abbr="NPL">Nepal</nation>
      <nation abbr="NZL">New Zealand</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="RWA">Rwanda</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="SWE">Sweden</nation>
      <nation abbr="SWZ">Eswatini</nation>
      <nation abbr="SYC">Seychelles</nation>
      <nation abbr="SYR">Syrian Arab Republic</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="TWN">Taiwan, China</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="VUT">Vanuatu</nation>
      <nation abbr="YEM">Yemen, Rep.</nation>
      <nation abbr="ZAF">South Africa</nation>
      <nation abbr="ZMB">Zambia</nation>
      <nation abbr="ZWE">Zimbabwe</nation>
      <nation abbr="YUG">Yugoslavia Fed. Rep.</nation>
      <geogCover>The authors describe a data set on educational attainment for 120 countries over five- year periods from 1960 to 1985.</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 file contains the data set on educational attainment at various levels for the male and female population aged 25 and above. Out of the 129 countries constructed by Barro and Lee (1993), the data set includes 115 countries, which are in the sample countries of the Summers-Heston (1991) Mark 5. Data are presented, quinquennially, for the years 1960-1985.</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>Census and survey figures fill over 40% of the cells, and the remainder are estimated from school-enrollment data by a perpetual- inventory method. The data refer to male and female attainment of the adult population at four levels: no schooling, primary, secondary, and higher. They also provide a rough breakdown into incomplete and complete attainment at the three levels of schooling.</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:

Robert J. Barro and Jong-Wha Lee. Educational Attainment Data (EAD) 1960-1985. Ref. WLD_EAD_1985_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>school1</fileName>
    <fileCont>Contains data on schooling of the total population</fileCont>
    <dimensns>
      <caseQnty>664</caseQnty>
      <varQnty>14</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F2">
  <fileTxt>
    <fileName>school2</fileName>
    <fileCont>Contains the same data for the male and female population</fileCont>
    <dimensns>
      <caseQnty>664</caseQnty>
      <varQnty>23</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="V1" name="ctrycode" files="F1" intrvl="discrete">
  <labl>Country code</labl>
  <imputation>Country code</imputation>
  <security>Country code</security>
  <embargo>Country code</embargo>
  <respUnit>Country code</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Algeria</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Benin</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Cameroon</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Central African Rep.</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Congo</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Gambia</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Guinea-Bissau</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Liberia</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Mali</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Mauritius</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Niger</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Rwanda</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Senegal</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Seychelles</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Sierra Leone</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Sudan</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Togo</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Tunisia</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Zaire</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Barbados</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Canada</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Costa Rica</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Dominica</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Dominican Rep.</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>El Salvador</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Guatemala</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Haiti</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Honduras</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Jamaica</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mexico</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Nicaragua</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Panama</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>St.Lucia</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>St.Vincent &amp; Grens.</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Trinidad &amp; Tobago</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>United States</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Argentina</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Bolivia</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Brazil</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Chile</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Colombia</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Ecuador</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Guyana</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Paraguay</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Peru</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>Uruguay</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Venezuela</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Afghanistan</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>Bahrain</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Bangladesh</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>Myanmar (Burma)</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>Hong Kong</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>Indonesia</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>Iran, I.R. of</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>Iraq</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>Israel</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Japan</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>Jordan</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Korea</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Kuwait</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Malaysia</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Nepal</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Philippines</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Singapore</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Sri Lanka</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>Syria</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Taiwan</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Thailand</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>United Arab Emirates</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Yemen, N.Arab</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Austria</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Belgium</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>Cyprus</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Denmark</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Finland</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>France</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Germany, West</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Hungary</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Iceland</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Ireland</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Italy</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Malta</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Netherlands</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Norway</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Poland</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Portugal</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Spain</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Sweden</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>Switzerland</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>United Kingdom</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Yugoslavia</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Australia</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>Fiji</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>New Zealand</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>Papua New Guinea</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>Solomon Islands</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>Vanuatu</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>Western Samoa</labl>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V2" name="ctryname" files="F1" intrvl="discrete">
  <labl>Country name</labl>
  <imputation>Country name</imputation>
  <security>Country name</security>
  <embargo>Country name</embargo>
  <respUnit>Country name</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>Afghanistan</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>Algeria</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Argentina</catValu>
  </catgry>
  <catgry>
    <catValu>Australia</catValu>
  </catgry>
  <catgry>
    <catValu>Austria</catValu>
  </catgry>
  <catgry>
    <catValu>Bahrain</catValu>
  </catgry>
  <catgry>
    <catValu>Bangladesh</catValu>
  </catgry>
  <catgry>
    <catValu>Barbados</catValu>
  </catgry>
  <catgry>
    <catValu>Belgium</catValu>
  </catgry>
  <catgry>
    <catValu>Benin</catValu>
  </catgry>
  <catgry>
    <catValu>Bolivia</catValu>
  </catgry>
  <catgry>
    <catValu>Botswana</catValu>
  </catgry>
  <catgry>
    <catValu>Brazil</catValu>
  </catgry>
  <catgry>
    <catValu>Cameroon</catValu>
  </catgry>
  <catgry>
    <catValu>Canada</catValu>
  </catgry>
  <catgry>
    <catValu>Central Africa*</catValu>
  </catgry>
  <catgry>
    <catValu>Chile</catValu>
  </catgry>
  <catgry>
    <catValu>Colombia</catValu>
  </catgry>
  <catgry>
    <catValu>Congo</catValu>
  </catgry>
  <catgry>
    <catValu>Costa Rica</catValu>
  </catgry>
  <catgry>
    <catValu>Cyprus</catValu>
  </catgry>
  <catgry>
    <catValu>Denmark</catValu>
  </catgry>
  <catgry>
    <catValu>Dominica</catValu>
  </catgry>
  <catgry>
    <catValu>Dominican Rep.</catValu>
  </catgry>
  <catgry>
    <catValu>Ecuador</catValu>
  </catgry>
  <catgry>
    <catValu>Egypt</catValu>
  </catgry>
  <catgry>
    <catValu>El Salvador</catValu>
  </catgry>
  <catgry>
    <catValu>Fiji</catValu>
  </catgry>
  <catgry>
    <catValu>Finland</catValu>
  </catgry>
  <catgry>
    <catValu>France</catValu>
  </catgry>
  <catgry>
    <catValu>Gambia</catValu>
  </catgry>
  <catgry>
    <catValu>Germany, West</catValu>
  </catgry>
  <catgry>
    <catValu>Ghana</catValu>
  </catgry>
  <catgry>
    <catValu>Greece</catValu>
  </catgry>
  <catgry>
    <catValu>Guatemala</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>Iceland</catValu>
  </catgry>
  <catgry>
    <catValu>India</catValu>
  </catgry>
  <catgry>
    <catValu>Indonesia</catValu>
  </catgry>
  <catgry>
    <catValu>Iran, I.R. of</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>Kenya</catValu>
  </catgry>
  <catgry>
    <catValu>Korea</catValu>
  </catgry>
  <catgry>
    <catValu>Kuwait</catValu>
  </catgry>
  <catgry>
    <catValu>Lesotho</catValu>
  </catgry>
  <catgry>
    <catValu>Liberia</catValu>
  </catgry>
  <catgry>
    <catValu>Malawi</catValu>
  </catgry>
  <catgry>
    <catValu>Malaysia</catValu>
  </catgry>
  <catgry>
    <catValu>Mali</catValu>
  </catgry>
  <catgry>
    <catValu>Malta</catValu>
  </catgry>
  <catgry>
    <catValu>Mauritius</catValu>
  </catgry>
  <catgry>
    <catValu>Mexico</catValu>
  </catgry>
  <catgry>
    <catValu>Mozambique</catValu>
  </catgry>
  <catgry>
    <catValu>Myanmar (Burma)</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>Norway</catValu>
  </catgry>
  <catgry>
    <catValu>Pakistan</catValu>
  </catgry>
  <catgry>
    <catValu>Panama</catValu>
  </catgry>
  <catgry>
    <catValu>Papua New Guin*</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>Rwanda</catValu>
  </catgry>
  <catgry>
    <catValu>Senegal</catValu>
  </catgry>
  <catgry>
    <catValu>Seychelles</catValu>
  </catgry>
  <catgry>
    <catValu>Sierra Leone</catValu>
  </catgry>
  <catgry>
    <catValu>Singapore</catValu>
  </catgry>
  <catgry>
    <catValu>Solomon Islands</catValu>
  </catgry>
  <catgry>
    <catValu>South africa</catValu>
  </catgry>
  <catgry>
    <catValu>Spain</catValu>
  </catgry>
  <catgry>
    <catValu>Sri Lanka</catValu>
  </catgry>
  <catgry>
    <catValu>St.Lucia</catValu>
  </catgry>
  <catgry>
    <catValu>St.Vincent &amp; G*</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>Taiwan</catValu>
  </catgry>
  <catgry>
    <catValu>Tanzania</catValu>
  </catgry>
  <catgry>
    <catValu>Thailand</catValu>
  </catgry>
  <catgry>
    <catValu>Togo</catValu>
  </catgry>
  <catgry>
    <catValu>Trinidad &amp; Tob*</catValu>
  </catgry>
  <catgry>
    <catValu>Tunisia</catValu>
  </catgry>
  <catgry>
    <catValu>Turkey</catValu>
  </catgry>
  <catgry>
    <catValu>Uganda</catValu>
  </catgry>
  <catgry>
    <catValu>United Arab Em*</catValu>
  </catgry>
  <catgry>
    <catValu>United Kingdom</catValu>
  </catgry>
  <catgry>
    <catValu>United States</catValu>
  </catgry>
  <catgry>
    <catValu>Uruguay</catValu>
  </catgry>
  <catgry>
    <catValu>Vanuatu</catValu>
  </catgry>
  <catgry>
    <catValu>Venezuela</catValu>
  </catgry>
  <catgry>
    <catValu>Western Samoa</catValu>
  </catgry>
  <catgry>
    <catValu>Yemen, N.Arab</catValu>
  </catgry>
  <catgry>
    <catValu>Yugoslavia</catValu>
  </catgry>
  <catgry>
    <catValu>Zaire</catValu>
  </catgry>
  <catgry>
    <catValu>Zambia</catValu>
  </catgry>
  <catgry>
    <catValu>Zimbabwe</catValu>
  </catgry>
  <varFormat type="character"/>
</var>
<var ID="V3" name="year" files="F1" intrvl="contin">
  <labl>Year</labl>
  <imputation>Year</imputation>
  <security>Year</security>
  <embargo>Year</embargo>
  <respUnit>Year</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">60</sumStat>
  <sumStat type="max">85</sumStat>
  <sumStat type="mean">72.462</sumStat>
  <sumStat type="stdev">8.531</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V4" name="datasrc" files="F1" intrvl="discrete">
  <labl>Data source</labl>
  <imputation>Data source</imputation>
  <security>Data source</security>
  <embargo>Data source</embargo>
  <respUnit>Data source</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <labl>Estimate</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Census</labl>
    <catStat type="invd"/>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V5" name="pc_noschool" files="F1" intrvl="contin">
  <labl>% of no schooling in the total pop.</labl>
  <imputation>% of no schooling in the total pop.</imputation>
  <security>% of no schooling in the total pop.</security>
  <embargo>% of no schooling in the total pop.</embargo>
  <respUnit>% of no schooling in the total pop.</respUnit>
  <sumStat type="vald">627</sumStat>
  <sumStat type="invd">37</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">99.6</sumStat>
  <sumStat type="mean">39.304</sumStat>
  <sumStat type="stdev">31.326</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V6" name="pc_primatt" files="F1" intrvl="contin">
  <labl>% of primary schooling attained in the total pop.</labl>
  <imputation>% of primary schooling attained in the total pop.</imputation>
  <security>% of primary schooling attained in the total pop.</security>
  <embargo>% of primary schooling attained in the total pop.</embargo>
  <respUnit>% of primary schooling attained in the total pop.</respUnit>
  <sumStat type="vald">626</sumStat>
  <sumStat type="invd">38</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">91.1</sumStat>
  <sumStat type="mean">41.245</sumStat>
  <sumStat type="stdev">22.733</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V7" name="pc_primcomp" files="F1" intrvl="contin">
  <labl>% of primary schooling complete in the total pop.</labl>
  <imputation>% of primary schooling complete in the total pop.</imputation>
  <security>% of primary schooling complete in the total pop.</security>
  <embargo>% of primary schooling complete in the total pop.</embargo>
  <respUnit>% of primary schooling complete in the total pop.</respUnit>
  <sumStat type="vald">626</sumStat>
  <sumStat type="invd">38</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">67.1</sumStat>
  <sumStat type="mean">15.732</sumStat>
  <sumStat type="stdev">12.657</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V8" name="pc_secatt" files="F1" intrvl="contin">
  <labl>% of secondary schooling attained in the total pop.</labl>
  <imputation>% of secondary schooling attained in the total pop.</imputation>
  <security>% of secondary schooling attained in the total pop.</security>
  <embargo>% of secondary schooling attained in the total pop.</embargo>
  <respUnit>% of secondary schooling attained in the total pop.</respUnit>
  <sumStat type="vald">654</sumStat>
  <sumStat type="invd">10</sumStat>
  <sumStat type="min">0.1</sumStat>
  <sumStat type="max">89.4</sumStat>
  <sumStat type="mean">14.989</sumStat>
  <sumStat type="stdev">14.764</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V9" name="pc_seccomp" files="F1" intrvl="contin">
  <labl>% of secondary schooling complete in the total pop.</labl>
  <imputation>% of secondary schooling complete in the total pop.</imputation>
  <security>% of secondary schooling complete in the total pop.</security>
  <embargo>% of secondary schooling complete in the total pop.</embargo>
  <respUnit>% of secondary schooling complete in the total pop.</respUnit>
  <sumStat type="vald">654</sumStat>
  <sumStat type="invd">10</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">49.1</sumStat>
  <sumStat type="mean">6.17</sumStat>
  <sumStat type="stdev">6.926</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V10" name="pc_highatt" files="F1" intrvl="contin">
  <labl>% of higher schooling attained in the total pop.</labl>
  <imputation>% of higher schooling attained in the total pop.</imputation>
  <security>% of higher schooling attained in the total pop.</security>
  <embargo>% of higher schooling attained in the total pop.</embargo>
  <respUnit>% of higher schooling attained in the total pop.</respUnit>
  <sumStat type="vald">659</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">38.11</sumStat>
  <sumStat type="mean">3.84</sumStat>
  <sumStat type="stdev">5.226</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V11" name="pc_highcomp" files="F1" intrvl="contin">
  <labl>% of higher schooling complete in the total pop.</labl>
  <imputation>% of higher schooling complete in the total pop.</imputation>
  <security>% of higher schooling complete in the total pop.</security>
  <embargo>% of higher schooling complete in the total pop.</embargo>
  <respUnit>% of higher schooling complete in the total pop.</respUnit>
  <sumStat type="vald">659</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">19.5</sumStat>
  <sumStat type="mean">2.34</sumStat>
  <sumStat type="stdev">2.755</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V12" name="yrssec" files="F1" intrvl="contin">
  <labl>Average years of secondary schooling of the total pop.</labl>
  <imputation>Average years of secondary schooling of the total pop.</imputation>
  <security>Average years of secondary schooling of the total pop.</security>
  <embargo>Average years of secondary schooling of the total pop.</embargo>
  <respUnit>Average years of secondary schooling of the total pop.</respUnit>
  <sumStat type="vald">654</sumStat>
  <sumStat type="invd">10</sumStat>
  <sumStat type="min">0.01</sumStat>
  <sumStat type="max">5.11</sumStat>
  <sumStat type="mean">0.851</sumStat>
  <sumStat type="stdev">0.877</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V13" name="yrshigh" files="F1" intrvl="contin">
  <labl>Average years of higher schooling of the total pop.</labl>
  <imputation>Average years of higher schooling of the total pop.</imputation>
  <security>Average years of higher schooling of the total pop.</security>
  <embargo>Average years of higher schooling of the total pop.</embargo>
  <respUnit>Average years of higher schooling of the total pop.</respUnit>
  <sumStat type="vald">659</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">1.03</sumStat>
  <sumStat type="mean">0.123</sumStat>
  <sumStat type="stdev">0.157</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V14" name="yrsschool" files="F1" intrvl="contin">
  <labl>Average years of total schooling of the total pop.</labl>
  <imputation>Average years of total schooling of the total pop.</imputation>
  <security>Average years of total schooling of the total pop.</security>
  <embargo>Average years of total schooling of the total pop.</embargo>
  <respUnit>Average years of total schooling of the total pop.</respUnit>
  <sumStat type="vald">625</sumStat>
  <sumStat type="invd">39</sumStat>
  <sumStat type="min">0.04</sumStat>
  <sumStat type="max">12.14</sumStat>
  <sumStat type="mean">4.03</sumStat>
  <sumStat type="stdev">2.755</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V15" name="ctrycode" files="F2" intrvl="contin">
  <labl>Country code</labl>
  <imputation>Country code</imputation>
  <security>Country code</security>
  <embargo>Country code</embargo>
  <respUnit>Country code</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1</sumStat>
  <sumStat type="max">138</sumStat>
  <sumStat type="mean">74.321</sumStat>
  <sumStat type="stdev">37.396</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V16" name="year" files="F2" intrvl="contin">
  <labl>Year</labl>
  <imputation>Year</imputation>
  <security>Year</security>
  <embargo>Year</embargo>
  <respUnit>Year</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">60</sumStat>
  <sumStat type="max">85</sumStat>
  <sumStat type="mean">72.462</sumStat>
  <sumStat type="stdev">8.531</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V17" name="datasrc" files="F2" intrvl="discrete">
  <labl>Data source</labl>
  <imputation>Data source</imputation>
  <security>Data source</security>
  <embargo>Data source</embargo>
  <respUnit>Data source</respUnit>
  <sumStat type="vald">664</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V18" name="pcm_noschool" files="F2" intrvl="contin">
  <labl>% of no schooling in the total pop.</labl>
  <imputation>% of no schooling in the total pop.</imputation>
  <security>% of no schooling in the total pop.</security>
  <embargo>% of no schooling in the total pop.</embargo>
  <respUnit>% of no schooling in the total pop.</respUnit>
  <sumStat type="vald">612</sumStat>
  <sumStat type="invd">52</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">99.3</sumStat>
  <sumStat type="mean">34.163</sumStat>
  <sumStat type="stdev">29.042</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V19" name="pcm_primatt" files="F2" intrvl="contin">
  <labl>% of primary schooling attained in the male pop.</labl>
  <imputation>% of primary schooling attained in the male pop.</imputation>
  <security>% of primary schooling attained in the male pop.</security>
  <embargo>% of primary schooling attained in the male pop.</embargo>
  <respUnit>% of primary schooling attained in the male pop.</respUnit>
  <sumStat type="vald">612</sumStat>
  <sumStat type="invd">52</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">90.55</sumStat>
  <sumStat type="mean">43.531</sumStat>
  <sumStat type="stdev">21.308</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V20" name="pcm_primcomp" files="F2" intrvl="contin">
  <labl>% of primary schooling complete in the male pop.</labl>
  <imputation>% of primary schooling complete in the male pop.</imputation>
  <security>% of primary schooling complete in the male pop.</security>
  <embargo>% of primary schooling complete in the male pop.</embargo>
  <respUnit>% of primary schooling complete in the male pop.</respUnit>
  <sumStat type="vald">612</sumStat>
  <sumStat type="invd">52</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">69.72</sumStat>
  <sumStat type="mean">17.565</sumStat>
  <sumStat type="stdev">12.637</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V21" name="pcm_secatt" files="F2" intrvl="contin">
  <labl>% of secondary schooling attained in the male pop.</labl>
  <imputation>% of secondary schooling attained in the male pop.</imputation>
  <security>% of secondary schooling attained in the male pop.</security>
  <embargo>% of secondary schooling attained in the male pop.</embargo>
  <respUnit>% of secondary schooling attained in the male pop.</respUnit>
  <sumStat type="vald">640</sumStat>
  <sumStat type="invd">24</sumStat>
  <sumStat type="min">0.06</sumStat>
  <sumStat type="max">86.76</sumStat>
  <sumStat type="mean">16.608</sumStat>
  <sumStat type="stdev">14.736</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V22" name="pcm_seccomp" files="F2" intrvl="contin">
  <labl>% of secondary schooling complete in the male pop.</labl>
  <imputation>% of secondary schooling complete in the male pop.</imputation>
  <security>% of secondary schooling complete in the male pop.</security>
  <embargo>% of secondary schooling complete in the male pop.</embargo>
  <respUnit>% of secondary schooling complete in the male pop.</respUnit>
  <sumStat type="vald">640</sumStat>
  <sumStat type="invd">24</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">49.1</sumStat>
  <sumStat type="mean">6.69</sumStat>
  <sumStat type="stdev">7.229</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V23" name="pcm_highatt" files="F2" intrvl="contin">
  <labl>% of higher schooling attained in the male pop.</labl>
  <imputation>% of higher schooling attained in the male pop.</imputation>
  <security>% of higher schooling attained in the male pop.</security>
  <embargo>% of higher schooling attained in the male pop.</embargo>
  <respUnit>% of higher schooling attained in the male pop.</respUnit>
  <sumStat type="vald">645</sumStat>
  <sumStat type="invd">19</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">41.13</sumStat>
  <sumStat type="mean">5.014</sumStat>
  <sumStat type="stdev">6.043</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V24" name="pcm_highcomp" files="F2" intrvl="contin">
  <labl>% of higher schooling complete in the male pop.</labl>
  <imputation>% of higher schooling complete in the male pop.</imputation>
  <security>% of higher schooling complete in the male pop.</security>
  <embargo>% of higher schooling complete in the male pop.</embargo>
  <respUnit>% of higher schooling complete in the male pop.</respUnit>
  <sumStat type="vald">645</sumStat>
  <sumStat type="invd">19</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">21.11</sumStat>
  <sumStat type="mean">3.246</sumStat>
  <sumStat type="stdev">3.539</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V25" name="yrssecm" files="F2" intrvl="contin">
  <labl>Average years of secondary schooling of the male pop.</labl>
  <imputation>Average years of secondary schooling of the male pop.</imputation>
  <security>Average years of secondary schooling of the male pop.</security>
  <embargo>Average years of secondary schooling of the male pop.</embargo>
  <respUnit>Average years of secondary schooling of the male pop.</respUnit>
  <sumStat type="vald">640</sumStat>
  <sumStat type="invd">24</sumStat>
  <sumStat type="min">0.01</sumStat>
  <sumStat type="max">5.11</sumStat>
  <sumStat type="mean">0.986</sumStat>
  <sumStat type="stdev">0.922</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V26" name="yrshighm" files="F2" intrvl="contin">
  <labl>Average years of higher schooling of the male pop.</labl>
  <imputation>Average years of higher schooling of the male pop.</imputation>
  <security>Average years of higher schooling of the male pop.</security>
  <embargo>Average years of higher schooling of the male pop.</embargo>
  <respUnit>Average years of higher schooling of the male pop.</respUnit>
  <sumStat type="vald">645</sumStat>
  <sumStat type="invd">19</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">1.09</sumStat>
  <sumStat type="mean">0.165</sumStat>
  <sumStat type="stdev">0.189</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V27" name="yrsschoolm" files="F2" intrvl="contin">
  <labl>Average years of total schooling of the male pop.</labl>
  <imputation>Average years of total schooling of the male pop.</imputation>
  <security>Average years of total schooling of the male pop.</security>
  <embargo>Average years of total schooling of the male pop.</embargo>
  <respUnit>Average years of total schooling of the male pop.</respUnit>
  <sumStat type="vald">612</sumStat>
  <sumStat type="invd">52</sumStat>
  <sumStat type="min">0.07</sumStat>
  <sumStat type="max">12.36</sumStat>
  <sumStat type="mean">4.513</sumStat>
  <sumStat type="stdev">2.745</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V28" name="pcf_noschool" files="F2" intrvl="contin">
  <labl>% of no schooling in the total pop.</labl>
  <imputation>% of no schooling in the total pop.</imputation>
  <security>% of no schooling in the total pop.</security>
  <embargo>% of no schooling in the total pop.</embargo>
  <respUnit>% of no schooling in the total pop.</respUnit>
  <sumStat type="vald">627</sumStat>
  <sumStat type="invd">37</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">99.9</sumStat>
  <sumStat type="mean">44.752</sumStat>
  <sumStat type="stdev">34.606</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V29" name="pcf_primatt" files="F2" intrvl="contin">
  <labl>% of primary schooling attained in the female pop.</labl>
  <imputation>% of primary schooling attained in the female pop.</imputation>
  <security>% of primary schooling attained in the female pop.</security>
  <embargo>% of primary schooling attained in the female pop.</embargo>
  <respUnit>% of primary schooling attained in the female pop.</respUnit>
  <sumStat type="vald">626</sumStat>
  <sumStat type="invd">38</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">93.9</sumStat>
  <sumStat type="mean">38.465</sumStat>
  <sumStat type="stdev">25.184</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V30" name="pcf_primcomp" files="F2" intrvl="contin">
  <labl>% of primary schooling complete in the female pop.</labl>
  <imputation>% of primary schooling complete in the female pop.</imputation>
  <security>% of primary schooling complete in the female pop.</security>
  <embargo>% of primary schooling complete in the female pop.</embargo>
  <respUnit>% of primary schooling complete in the female pop.</respUnit>
  <sumStat type="vald">626</sumStat>
  <sumStat type="invd">38</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">66.3</sumStat>
  <sumStat type="mean">13.879</sumStat>
  <sumStat type="stdev">13.416</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V31" name="pcf_secatt" files="F2" intrvl="contin">
  <labl>% of secondary schooling attained in the female pop.</labl>
  <imputation>% of secondary schooling attained in the female pop.</imputation>
  <security>% of secondary schooling attained in the female pop.</security>
  <embargo>% of secondary schooling attained in the female pop.</embargo>
  <respUnit>% of secondary schooling attained in the female pop.</respUnit>
  <sumStat type="vald">654</sumStat>
  <sumStat type="invd">10</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">91.9</sumStat>
  <sumStat type="mean">13.407</sumStat>
  <sumStat type="stdev">15.321</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V32" name="pcf_seccomp" files="F2" intrvl="contin">
  <labl>% of secondary schooling complete in the female pop.</labl>
  <imputation>% of secondary schooling complete in the female pop.</imputation>
  <security>% of secondary schooling complete in the female pop.</security>
  <embargo>% of secondary schooling complete in the female pop.</embargo>
  <respUnit>% of secondary schooling complete in the female pop.</respUnit>
  <sumStat type="vald">654</sumStat>
  <sumStat type="invd">10</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">49.1</sumStat>
  <sumStat type="mean">5.689</sumStat>
  <sumStat type="stdev">7.077</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V33" name="pcf_highatt" files="F2" intrvl="contin">
  <labl>% of higher schooling attained in the female pop.</labl>
  <imputation>% of higher schooling attained in the female pop.</imputation>
  <security>% of higher schooling attained in the female pop.</security>
  <embargo>% of higher schooling attained in the female pop.</embargo>
  <respUnit>% of higher schooling attained in the female pop.</respUnit>
  <sumStat type="vald">659</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">35.26</sumStat>
  <sumStat type="mean">2.77</sumStat>
  <sumStat type="stdev">4.679</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V34" name="pcf_highcomp" files="F2" intrvl="contin">
  <labl>% of higher schooling complete in the female pop.</labl>
  <imputation>% of higher schooling complete in the female pop.</imputation>
  <security>% of higher schooling complete in the female pop.</security>
  <embargo>% of higher schooling complete in the female pop.</embargo>
  <respUnit>% of higher schooling complete in the female pop.</respUnit>
  <sumStat type="vald">659</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">18.06</sumStat>
  <sumStat type="mean">1.506</sumStat>
  <sumStat type="stdev">2.205</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V35" name="yrssecf" files="F2" intrvl="contin">
  <labl>Average years of secondary schooling of the female pop.</labl>
  <imputation>Average years of secondary schooling of the female pop.</imputation>
  <security>Average years of secondary schooling of the female pop.</security>
  <embargo>Average years of secondary schooling of the female pop.</embargo>
  <respUnit>Average years of secondary schooling of the female pop.</respUnit>
  <sumStat type="vald">654</sumStat>
  <sumStat type="invd">10</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">5.11</sumStat>
  <sumStat type="mean">0.724</sumStat>
  <sumStat type="stdev">0.865</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V36" name="yrshighf" files="F2" intrvl="contin">
  <labl>Average years of higher schooling of the female pop.</labl>
  <imputation>Average years of higher schooling of the female pop.</imputation>
  <security>Average years of higher schooling of the female pop.</security>
  <embargo>Average years of higher schooling of the female pop.</embargo>
  <respUnit>Average years of higher schooling of the female pop.</respUnit>
  <sumStat type="vald">659</sumStat>
  <sumStat type="invd">5</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">1.01</sumStat>
  <sumStat type="mean">0.0852</sumStat>
  <sumStat type="stdev">0.135</sumStat>
  <varFormat type="numeric"/>
</var>
<var ID="V37" name="yrsschoolf" files="F2" intrvl="contin">
  <labl>Average years of total schooling of the female pop.</labl>
  <imputation>Average years of total schooling of the female pop.</imputation>
  <security>Average years of total schooling of the female pop.</security>
  <embargo>Average years of total schooling of the female pop.</embargo>
  <respUnit>Average years of total schooling of the female pop.</respUnit>
  <sumStat type="vald">625</sumStat>
  <sumStat type="invd">39</sumStat>
  <sumStat type="min"/>
  <sumStat type="max">11.94</sumStat>
  <sumStat type="mean">3.559</sumStat>
  <sumStat type="stdev">2.845</sumStat>
  <varFormat type="numeric"/>
</var>
</dataDscr></codeBook>
